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The global battery industry is entering a new phase driven by safety improvement and higher energy density requirements.   Solid-state battery technology has become one of the most discussed next-generation battery solutions. Unlike traditional lithium-ion batteries using liquid electrolytes, solid-state batteries utilize solid electrolyte materials, offering potential advantages in safety, thermal stability, and energy density.   Major battery manufacturers and automotive companies are accelerating research and development of solid-state and semi-solid-state battery technologies. However, challenges including manufacturing costs, interface stability, and large-scale production processes remain key factors before wider commercialization.   Meanwhile, improvements in existing lithium battery technologies, including LFP systems, advanced materials, and intelligent battery management systems, continue to drive market growth.   The future battery industry will not be dominated by a single technology, but by solutions that combine performance, safety, reliability, and cost efficiency.   As a customized battery solution provider, YIMA continuously follows global battery technology trends and develops reliable battery systems for various applications.

The global battery industry is accelerating its transition toward diversified energy storage technologies.   Recently, sodium-ion battery technology has attracted increasing attention due to its advantages in raw material availability, cost control, and low-temperature performance. Compared with traditional lithium-ion batteries, sodium-ion batteries reduce dependence on critical lithium resources and provide a new option for large-scale energy storage applications.   Industry leaders are increasing investment in sodium-ion battery production, especially for applications such as stationary energy storage, renewable energy integration, and commercial power systems.   Although lithium-ion batteries remain the mainstream technology, the future battery market is expected to develop with multiple technologies working together, including lithium iron phosphate (LFP), sodium-ion, and solid-state batteries.   For battery manufacturers, continuous technology adaptation and customized solutions will become increasingly important in meeting different application requirements.   YIMA continues to focus on customized lithium battery solutions, supporting global customers in energy storage, industrial equipment, and electric mobility applications.  

As AI faces power shortages and public backlash within the United States, the next destinations for computing infrastructure are seeing accelerated migration southward and northward. Anthropic is betting 15 billion US dollars on Australia, while Meta is investing 10 billion US dollars to expand into Canada. Will this massive infrastructure migration involving tens of billions of dollars reshape the global computing power landscape?     Amid mounting difficulties, AI infrastructure is shifting its footprint away from the United States.   After the Digital Gateway data center project in Virginia, once billed as the world’s largest, was scrapped following years of lawsuits and protests from local residents, a growing number of tech giants are turning their sights to overseas markets.   As recently revealed by the Australian Financial Review (AFR), leading AI firm Anthropic is looking to secure a minimum of 1.4 gigawatts of data center computing power in Australia with a massive $15 billion land and facility investment, aiming to bring 1 gigawatt of capacity online by the end of next year.     The scale of this investment is staggering. After all, the total installed capacity of currently operational data centers in Australia is approximately 1.4 gigawatts.   If Anthropic’s investment is ultimately implemented, the installed capacity from its single procurement will be roughly equivalent to Australia’s total data center installed capacity.   Not far behind, Meta recently announced a roughly $10 billion investment to build a data center in Alberta, Canada, with an installed capacity of 1 gigawatt, equal to the power consumption of 750,000 households.   Once completed, this data center will become Meta’s largest overseas data center, supported by an additional investment of approximately 60 million Canadian dollars in local infrastructure including roads and water utilities.   Beyond vast, resource-rich countries like Canada and Australia, the Middle East, Africa and Europe have also become hotspots for heavy computing investment by major U.S. AI companies.   The successive multi-billion-dollar overseas infrastructure layouts by tech giants send a clear signal: the marginal growth of AI infrastructure is spilling beyond domestic borders, and the computing infrastructure competition among large model companies has officially gone global.   This is no ordinary data center construction plan, but a high-stakes bet on the locations for the training, management, operation and commercialization of next-generation cutting-edge artificial intelligence.     01   Escaping the Domestic Bottlenecks of the United States   Behind the overseas expansion of tech giants lies the increasingly severe practical bottlenecks in the construction of data centers within the United States.   The power shortage constitutes the primary bottleneck. With the vigorous development of data center construction, the power demand in the United States has grown explosively. However, the growth of U.S. power demand has remained almost stagnant for more than a decade, with an annual growth rate of less than 1%.   In its latest report released on July 8, Bank of America stated that the United States may face a power shortage of 100 gigawatts between 2026 and 2030, driven by the booming production and surging demand for chips as well as the inability of U.S. utility companies to meet current needs.   Bank of America analysts predict that the demand for power capacity will reach 230 gigawatts or more from 2026 to 2030. Nevertheless, the bank estimates that the power supply from utility companies will only amount to 93 gigawatts.   Data from the Electric Power Research Institute also shows that in Northern Virginia, a global hub for data centers, data centers already consume approximately 25% of the United States' total electricity, and this proportion is projected to soar to 57% by 2030.   The expansion of onshore data centers in the United States has hit a snag, dealt a crippling blow by the NIMBY effect. Soaring electricity bills driven by AI are turning data centers into the "least desirable neighbors". A recent U.S. poll indicates that 70 percent of Americans oppose the construction of AI data centers near their residences, with 48 percent strongly opposed and merely 7 percent in favor of building such facilities in their own neighborhoods. According to the latest figures from AI research firm Data Center Observatory, the number of active opposition groups has more than doubled in the first three months of this year, surging from 396 at the end of 2025 to 833 across 49 U.S. states. These community groups have successfully blocked or postponed no fewer than 75 relevant projects with a total value of approximately 130 billion US dollars (equivalent to around 880 billion Chinese yuan).     More importantly, the grassroots wave of opposition has rapidly evolved into legislative games at the regulatory level. Virginia has passed the nation's first electricity consumption tax for data centers, and New York State has imposed a one-year moratorium on approvals. In just the first six weeks of 2026, more than 30 states across the United States have proposed over 300 relevant bills. Tech giants are more acutely aware than ever that building a diversified computing power supply chain is crucial in the AI competition.   02   Moving South and Moving North The overseas layouts of Anthropic and Meta reflect two major directions of the migration of U.S. data center infrastructure: moving south and moving north.   As generative AI training and inference workloads become increasingly tolerant to latency and gain greater flexibility in site selection, Australia, with its unique advantages, is emerging as a new hub for computing power.   Geographically located between the United States, Asia and the Pacific region, Australia has the potential to become a hub for computing power centers in the Asia-Pacific region.   According to the 2025 annual report released by Knight Frank, Australia ranks second worldwide (only behind the United States) in the global ranking of data center investment destinations.   Anthropic’s consideration of expanding its presence in Australia in the Southern Hemisphere stems from the country’s abundant land resources and rich renewable energy endowments.   A computing power scale of 1.4GW is equivalent to the output of several nuclear power units. Australia’s relatively stable energy supply and favorable climate serve as inherent natural advantages.       More importantly, relevant policies have paved the way. In March this year, Anthropic signed a memorandum of understanding with the Australian government to cooperate on AI safety research and the national AI plan, removing obstacles for the large-scale rollout of infrastructure.   Meta also made a well-thought-out site selection in Sturgeon County, Alberta.   The province’s key advantages include low-cost natural gas, a relatively cool climate, and permission to build on-site power supplies, which allows tech companies to bypass capacity constraints of the public power grid.       According to Reuters, Meta's initial project scale in Canada is 1GW, with the capacity to expand to 1.8GW. The power supply mainly relies on natural gas power generation. Meta will fund the construction of new power generation facilities to connect to the power grid and has signed long-term energy supply agreements with multiple energy enterprises. This underscores Alberta's unique appeal: the province is transforming AI data centers into a new export avenue for its natural gas industry. Alberta boasts abundant low-cost natural gas, mature energy engineering capabilities, cooling advantages brought by its cold climate, and a relatively business-friendly and tax-friendly environment. The Prime Minister of Canada has personally endorsed the initiative, vowing to build Canada into "the world's best location for data center construction". Regulatory certainty and accessible energy have jointly created a "lowland effect" for computing power investment in the region.   03   The Next Hotspot for Computing Power? In fact, even before tech giants set their sights on Australia and Canada, the Middle East, Europe and even Africa have once emerged as popular destinations for computing power investment. Leveraging abundant capital and energy advantages, the United Arab Emirates and Saudi Arabia are striving to become the "new oilfields" of global AI computing power. Amazon announced in 2024 a new data center project worth over 10 billion US dollars in Saudi Arabia; Microsoft stated in 2025 that it would invest more than 15.2 billion US dollars in the United Arab Emirates by 2029; OpenAI also announced in 2025 that it would build the 1-gigawatt "Stargate UAE" data center in Abu Dhabi. Nevertheless, the region is now facing severe challenges. In March 2026, three Amazon data centers in the United Arab Emirates and Bahrain suffered drone attacks amid regional conflicts, resulting in service outages. Facilities of Google, Microsoft, NVIDIA and other companies have also been listed as potential targets. This incident may prompt US tech giants to adopt a more cautious approach to future investments in the region.   The construction of AI data centers in Europe is mainly driven by the European Union's "InvestAI" initiative, which aims to triple computing power within the next 5 to 7 years compared with the current level.   The largest single project to date is the 1 billion-euro partnership between NVIDIA and Deutsche Telekom. However, Jensen Huang has pointed out that the EU still lags behind China and the United States in AI investment, highlighting the urgency for Europe to accelerate infrastructure development.   The African market is widely regarded as the next growth hotspot, yet its current data center capacity accounts for less than 1% of the global total. Major US tech giants are entering the market through partnerships with local enterprises or independent construction, though their projects remain small in scale and fraught with implementation challenges.   Microsoft once planned to build a 100-megawatt data center in Kenya. Nevertheless, the project is currently under review due to its enormous power demand — the first phase alone would occupy approximately 3% of the country’s total installed power capacity — and unresolved government guarantee issues.   Anthropic’s massive investment in Australia marks the country’s emergence as the next computing power hub in the global AI competition.       However, great opportunities do not come without costs.   Research cited by Australia’s Climate Council indicates that if the growth of data centers is not matched by new renewable energy capacity, the average wholesale electricity price on Australia’s main grid could rise by more than 20% by 2035, with greater pressure in regions such as New South Wales and Victoria. Water resources and community acceptance will also serve as constraints.   More importantly, if Australia’s role is merely to host data centers, supply electricity, provide labor and bear environmental burdens while the majority of the value flows overseas, it may not be able to build strong influence in the AI competition.   Canada faces similar challenges.   Alberta’s core advantage lies in inexpensive natural gas, which also creates a key contradiction: the "clean computing power" touted by AI giants does not always align with the actual marginal power sources of the projects.   Meta claims its electricity consumption will be fully matched by 100% clean and renewable energy. However, Reuters has pointed out that the emission intensity of Alberta’s power grid is significantly higher than Canada’s national average.   Meanwhile, a June report from the Canadian Broadcasting Corporation (CBC) also noted that large-scale data centers exert environmental impacts on surrounding communities in terms of carbon emissions, water consumption and noise pollution, with related controversies still ongoing.       It is undeniable that in the second half of the global computing power competition, the contest is no longer about who can purchase the most advanced chips first, but about who can make computing power take root and settle down with lower institutional costs and higher system efficiency.   Anthropic and Meta are merely the starting point of this "great exodus".  

    The decisive factor in global artificial intelligence competitions has officially shifted from chip delivery cycles to power and grid infrastructure. As the power demand of hyperscale data centers surges exponentially, electricity has not only become the core of hundreds of billions of dollars in capital expenditures by tech giants such as Microsoft and Amazon, but also triggered strategic layouts at the U.S. national security level due to the severe shortages and geopolitical risks surrounding key equipment like transformers. In the AI era, computing power is equivalent to national strength, and the sole prerequisite for guaranteeing computing power is robust and uninterrupted power grid support. This computing power-driven energy scramble has also reshaped the strategic status of the global power supply chain.     Electric power has become the top capital expenditure         For a long time, the biggest challenge facing the technology industry has been the lead time for hardware and chips. However, entering 2026, the development bottleneck has shifted from servers to substations. Fueled by the rapid expansion of the large-scale data center industry, electricity has become the primary growth constraint between 2023 and 2026. According to forecasts by the International Energy Agency (IEA) and Data Center Dynamics, global data centers consumed approximately 460 terawatt-hours (TWh) of electricity in 2022, with the figure projected to peak above 1050 TWh by 2026. Artificial intelligence and high-performance workloads are growing far faster than power grids can accommodate. The unbreakable rule governing modern data center development is simple: no power, no project.   Meanwhile, the latest report released by JLL in 2026 clearly points out that the power density required by AI training facilities is ten times that of traditional data centers. It is estimated that by 2030, AI workloads will account for more than half of the total global data center capacity, doubling compared with 2025. Artificial intelligence has risen to become a core national strategy, prompting countries worldwide to compete in investing in sovereign infrastructure to strengthen domestic capabilities, with an estimated capital investment of up to 8 billion US dollars driven by 2030. To power these energy-intensive facilities, major US hyperscale data center operators including Microsoft, Alphabet, Amazon, Meta and Oracle plan to invest nearly 700 billion US dollars in capital expenditure for artificial intelligence from 2025 to 2026, the vast majority of which is aimed at ensuring the stability of infrastructure and power supply networks.   Transformer Shortages and Grid Interconnection Bottlenecks       The essence of this crisis lies in the fact that infrastructure development fails to keep pace with technological iteration. A report by venture capital firm Bessemer Venture Partners lays bare the harsh reality: the physical construction of a data center can be completed in 12 to 18 months, yet connecting it to the existing power grid takes five to seven years. This massive timeline gap has forced more than a quarter of new data center projects to be delayed due to power supply and permitting issues. Reports released by multiple regional grid operators across the United States in early 2026 all warn that the queue for grid interconnection of large power loads is growing exponentially. In Texas and the U.S. Midwest alone, the capacity of ultra-large data centers waiting for grid connection is projected to soar to 173 gigawatts by 2030, far exceeding the current grid load limit.   However, even with sufficient power generation, the lack of transformers—devices that convert high-voltage electricity into voltages usable by data centers—can bring all computing power progress to an immediate halt. Competition for transformers has reached a fever pitch, and lengthy delivery lead times are dictating the progress of power engineering and the development of AI infrastructure. According to a report by Wood Mackenzie, from 2019 to 2025, U.S. demand for Generator Step-Up (GSU) transformers surged by 274%, while demand for power transformers rose by 116%, with supply gaps standing at 6% and 30% respectively. Large power transformers that once required only around 50 weeks for delivery now have an average lead time of over 120 weeks, with the waiting period for some high-spec equipment extending to several years. The market imbalance has driven a sharp rise in transformer delivery times and prices, prompting U.S. power transformer buyers to scramble for imported products and factory production slots, fearing that tens of billions of dollars in AI infrastructure deployment will stall at the final stage.   Recognizing the significance of data center construction for national security and U.S. competitiveness in the global artificial intelligence race, the U.S. government took action in April 2026. U.S. President Donald Trump invoked Section 303 of the Defense Production Act to officially designate large-scale power grid infrastructure as a national defense necessity, and authorized emergency federal funding to expand domestic supply of key components in this supply chain.   Power grid upgrading faces challenges in Chinese supply chain and cybersecurity.           Due to the United States’ lack of domestic manufacturing capacity for ultra-high-voltage transformers, while 70% to 90% of the global production capacity of key power grid components is highly concentrated in China, amid the dual pressures of global geopolitical competition and tariff barriers, major U.S. tech companies have actively relocated server production lines out of Asia yet face an extremely fragile supply chain situation for core power transmission equipment.   To meet the massive power demand driven by AI data centers, the United States is comprehensively advancing power grid expansion and modernization projects. Supported by federal and state government initiatives, U.S. utility companies are actively deploying Advanced Metering Infrastructure (AMI), AI analytics systems, Battery Energy Storage Systems (BESS), and Distributed Energy Resource Management Systems (DERMS). These digital technologies transform traditional one-way power transmission systems into intelligent, real-time responsive networks, enabling more efficient resource management and laying a rapid expandable power foundation for data centers required for advanced AI applications.   However, while grid digitalization boosts efficiency, it also introduces new cyber risks. Unencrypted communication protocols and persistent remote access functions in grid equipment can easily become vulnerabilities for hackers to modify settings, disrupt services, or inject erroneous data. Compounding these risks, 70% to 90% of critical U.S. power grid equipment is manufactured by Chinese producers, and the U.S. lacks manufacturing capabilities for key assets such as ultra-high-voltage transformers. This leaves the U.S. confronting severe supply chain and national security risks while advancing grid digital transformation. To mitigate such hazards, the U.S. federal government has recently enacted legislation establishing the **Foreign Entity of Concern (FEOC) restrictions, which mandate that projects must meet a minimum threshold of non-FEOC component usage to qualify for tax credits. This places utility companies in a dilemma: they must rapidly expand infrastructure to accommodate the surging power demand of data centers, while striving to diversify supply chains and comply with stringent cybersecurity and regulatory requirements amid a shortage of viable alternative components.   To address the soaring demand for transformers, major U.S. power grid equipment manufacturers are ramping up production capacity. According to forecasts by Hitachi Energy, U.S. demand for power grid infrastructure will continue to grow for at least the next decade. Hitachi Energy has announced investments of over 1 billion U.S. dollars to build a new factory in South Boston, scheduled to commence operations in 2028, and an additional 106 million U.S. dollars to construct a transformer plant in Alamo, Tennessee. Siemens also increased its investment in its North Carolina manufacturing facility from 150 million U.S. dollars to 421 million U.S. dollars in February 2026, including a new transformer plant in Charlotte set to start production within the year.   Unlike standardized electronic products, large high-voltage transformers typically require customized design with long manufacturing lead times, and their production is highly dependent on specialized materials and professional manufacturing expertise, making rapid capacity expansion extremely challenging. Furthermore, as countries worldwide simultaneously promote the development of AI data centers, electric vehicles, renewable energy, power grid upgrades, and industrial electrification, a global competition for power grid equipment has emerged, and power grid development has become a key component of national competitiveness.   According to the 2026 latest report released by McKinsey & Company, global investments of up to 7 trillion U.S. dollars will be required for data center-related infrastructure by 2030 to meet soaring computing power demand, with a large proportion directly allocated to energy infrastructure such as power generation and cooling systems. Infrastructure funds and private equity firms have also begun direct investments in power plants and large-scale acquisitions of renewable energy projects. In the United States, an increasing number of hyperscale cloud providers are considering building self-owned power generation and energy storage systems to secure stable power supply. Tech giants including Microsoft, Amazon, Meta, and Google have invested heavily in securing capacity from conventional nuclear power plants. For instance, Microsoft signed a long-term agreement with Constellation Energy to restart unit operations at the Three Mile Island Nuclear Generating Station and comprehensively advance the commercialization of Small Modular Reactors (SMRs). Meta signed nuclear power agreements totaling over 6 gigawatts (GW) in early 2026, while Amazon has invested in X-energy and targeted a future SMR deployment capacity of 5 GW. As of early 2026, major U.S. tech companies have accumulated tens of billions of U.S. dollars in nuclear power procurement orders, elevating power procurement from a basic facility management task to a top-tier strategic decision at the corporate board level.   The Next Arms Race in Computing Power: Grid Warfare         With ultra-large data centers successively adopting self-developed processors, customized chips are expected to capture a 15% market share by 2030. Emerging technologies such as neuromorphic computing are also poised to reduce infrastructure demands and improve energy efficiency. The sole prerequisite for guaranteeing computing power is robust and uninterrupted power grid support.   Over the past two decades, the core of global technological competition has centered on the chip war. In the next decade, the focus of competition may shift back to energy flow. Artificial intelligence will no longer be merely a software industry, but a capital-intensive industry highly reliant on physical infrastructure. This means power grids, transformers, power distribution equipment, energy storage systems and power management facilities will no longer be categorized as traditional industrial assets, but will evolve into new-generation strategic technological assets. Multinational corporations and tech giants must classify heavy power equipment for infrastructure construction as top-tier strategic materials and even directly engage in upstream industrial layout to secure a stable supply chain.

  As a core raw material for the new energy industry, lithium is a vital mineral required for electric vehicles and grid energy storage equipment, playing a pivotal role in the global green energy transition. Owing to its high-efficiency energy storage capability, lithium has earned the moniker "white oil", emerging as a strategic resource fiercely contested by various countries and a focal point of market attention. The lithium battery sector has posted a strong performance since the start of this week. On July 6, Weili Lithium Core surged to a daily trading limit right after the market opening, and Times Wanheng rallied to hit the upper limit in the afternoon trading session. On July 7, the lithium ore concept bucked the overall market trend to move higher: Yahua Group locked in a one-word daily limit, while Tianhua New Energy, Rongjie Co., Ltd., Shengxin Lithium Energy and Tianqi Lithium followed suit with price increases. Beneath the market buoyancy lies not only the strong driving force from the continuously rising demand for power batteries and energy storage batteries, but also a piece of news from the other side of the Atlantic that broke out suddenly last weekend and drew widespread attention.       On local time July 2, the Defense Logistics Agency (DLA) of the United States Department of Defense issued a tender notice, planning to procure battery-grade lithium carbonate via a five-year fixed-price contract to replenish the U.S. National Defense Stockpile. This marks the first large-scale procurement by the United States to include lithium in its national defense reserves. According to the announcement, the maximum procurement volume of battery-grade lithium carbonate is 16,167 metric tons, with a maximum contract value of 300 million US dollars. Approximately 3,657 metric tons are expected to be purchased in the first contract year, followed by a year-on-year reduction in volume, down to around 2,839 metric tons in the fifth contract year. The bidding documents specify that the procured product must be powdered battery-grade lithium carbonate with a purity of no less than 99.5%, to be delivered to designated DLA warehouses in New York State, Nevada State, Indiana State or Ohio State. The notice states that this procurement forms part of the U.S. National Defense Stockpile Program, intended to boost the strategic reserves of critical minerals and strengthen the security guarantee of supply chains for national defense and key industries.   According to available information, the Defense Logistics Agency (DLA) of the U.S. Department of Defense oversees the global logistics and supply chain of the U.S. military and administers more than 4 million specific line items. The National Defense Stockpile (NDS), established in 1939, is designed to secure supplies of strategic materials during national emergencies.   The inventory size of the NDS follows a cyclical pattern. Its inventory value peaked at 9.6 billion U.S. dollars in 1989. After the end of the Cold War, the stockpile value fell to 1.2 billion U.S. dollars by 2021. In recent years, the reserve scale has been on the rise again, with the U.S. beginning to procure cobalt and lithium, strategic metals vital to the new energy sector.   Adjustments to the National Defense Stockpile are closely tied to the escalation of the U.S. federal government’s policies on critical minerals. Donald Trump’s first presidential term marked the awakening and launch phase of America’s critical minerals strategy, while his second term has shifted to concrete implementation and advancement of relevant initiatives.   Since Trump returned to the White House in January 2025, his administration has centered its agenda on the America First principle. By leveraging emergency executive authority, allocating policy funding, expediting project approvals, imposing import tariffs and strengthening international cooperation, the U.S. has sought to minimize reliance on foreign critical minerals at the fastest pace and rebuild U.S. dominance in strategic mineral resources.   In March 2025, Trump signed an executive order authorizing emergency measures to boost domestic mineral output in the United States. This executive order permits the disbursement of funding and loan support under the Defense Production Act to drastically ramp up production of critical minerals and rare earth elements and foster the growth of the domestic mining industry across the U.S.   That November, the U.S. Geological Survey (USGS) published the 2025 List of Critical Minerals on its official website. The updated list expanded the total number of designated mineral commodities to 60. Minerals featured on the list qualify for federal financial backing from the U.S. government, and related exploration, mining and refining projects can also receive streamlined regulatory approval.     Regarding the market impact of the U.S. Department of Defense's lithium carbonate reserve procurement plan, SMM (Shanghai Metals Market) pointed out that in terms of volume, the maximum procurement volume over five years stands at approximately 16,200 metric tons of lithium carbonate, equivalent to an annual average of 3,200 metric tons LCE. When broken down on a monthly basis, the procurement quantity only amounts to roughly 200 to 300 metric tons. This volume is insignificant within global lithium salt consumption, and its market influence is far weaker than that caused by demand fluctuations from new energy vehicles and energy storage sectors.   SMM holds the view that this procurement initiative should not be interpreted as incremental demand that can directly reverse the supply-demand balance; the announcement carries greater policy implications rather than material market effects. More precisely, it constitutes a "low-frequency, long-term, strategic procurement" that exerts limited marginal boost to the spot market fundamentals.   "This development does not signify a sudden surge in lithium demand; instead, it serves as a signal that the U.S. strategic stockpiling of critical minerals is transitioning from verbal pledges to concrete procurement implementation," SMM noted. The analysis also stressed that the key follow-up focus lies not on the announced funding ceiling, but on whether formal awards will be issued, which bidders win the contracts, the final transaction prices, and whether deliveries will be completed on an annual basis.   Calculated based on the disclosed upper spending limit of 300 million U.S. dollars, the implied maximum procurement price is about 18,600 U.S. dollars per metric ton, or approximately 134,000 Chinese yuan per metric ton. While this figure does not represent the actual transaction price, it reflects the U.S. government’s heightened emphasis on supply security, supplier qualification verification and long-term delivery reliability.   Beyond the strategic stockpiling of critical minerals, the U.S. Department of Defense has shifted its stance from collaborative development to a more proactive strategic approach. Last September, the U.S. government approved acquiring an equity stake in Lithium Americas to back the Canadian firm’s development of the Thacker Pass lithium project in Nevada, which is expected to become a major domestic source of lithium supply for the United States.   As one of America’s largest lithium mines, the Thacker Pass Lithium Mine in Nevada has long been regarded as a core component of the U.S. domestic lithium supply chain development. Recent major news that the nation’s top lithium mine is poised to commence production marks a pivotal bet for the United States to rebuild its domestic metal supply chains.   According to a June 22 report by The Information, Phase 1 production at Thacker Pass, the lithium mine with the largest known reserves in the U.S., is scheduled to launch by the end of next year, with an annual output capacity ten times the country’s current lithium production volume upon launch.   The U.S. government holds a 5% equity stake in Lithium Americas and an independent 5% interest in the Thacker Pass mine, and has provided financial backing for the project via a $2.2 billion low-interest loan issued by the Department of Energy. Jon Evans, Chief Executive Officer of Lithium Americas, stated that the policy landscape has fundamentally reshaped the market dynamic: "The entire landscape has transformed completely from last summer to this summer, and we have been integrated into national energy security policies."   General Motors (GM) has pre-secured the entire 20-year output from Phase 1 of the mine, which can meet the battery demand for around 850,000 electric vehicles, or an equivalent volume of batteries for AI data centers, drones, robots and military equipment. Phase 2 of Thacker Pass plans to extract and process an additional 40,000 metric tons of lithium within the next decade. GM has secured a priority right to purchase 38% of Phase 2 output, alongside an option to acquire the remaining production volume.     Nevertheless, even if lithium ore mining output can be increased, the United States is still confronted with the tough challenge in the lithium refining stage, and it cannot break free from reliance on overseas refining in the short term. As a researcher from the Global Energy Center of the Atlantic Council put it: "Lithium ore itself is useless and has to be refined to produce lithium for batteries."   Lithium raw materials have to be processed and refined to manufacture chemicals applicable to battery cathode materials and electrolyte solutions. In fact, achieving self-sufficiency in the lithium battery industrial chain is far more complicated than anticipated.   Industry statistics indicate that the United States accounts for merely 1% of the global lithium salt processing capacity, with over 75% of its refining processes relying on China, leading to a severe mismatch between resources and processing capacity within its domestic supply chain. According to reports from S&P Global, lithium refining capacity in the region is extremely limited. Only two lithium refineries in North Carolina produce lithium hydroxide, with respective capacities of 15,000 tons and 5,000 tons.   Thacker Pass, the largest lithium mine in the United States, faces the same core concern triggering market anxiety: the lithium resources of this mine are embedded in clay layers, and this extraction technology has never been verified on a commercial scale. Even the CEO of Lithium Americas acknowledged that such uncertainties will keep weighing down the company's valuation until actual production is delivered.  

Today, CTP (Cell-to-Pack) integrated processing has emerged as the leading structural optimization trend for high-capacity traction and energy storage systems, successfully boosting volumetric efficiency to 60% - 70%. However, for customized and adaptable battery pack applications, this modularless architecture introduces a critical engineering vulnerability:   With the structural module walls removed, if a single cell undergoes irreversible thermal runaway, how can we reliably prevent thermal propagation and avert a domino-effect catastrophic failure of the entire pack?   1. Expert Solution: A "Rigid-Flex" Mechanical Topology for the Full Lifecycle Beyond the monolithic, rigid automated architectures utilized by standardized mass-market factories, a more optimized, robust system-level solution deploys a specialized Mechanical Buffer Network within the cell array:   The Rigid-Flex Synergy: This framework intertwines ultra-high shear strength (≥15 MPa) structural adhesives with microcellular polyurethane foams.   Managing Swelling Pressures: Lithium-ion cells exert massive, irreversible swelling forces toward the end of their calendar life. This topology acts as an automotive-grade rigid fix during the initial phases, while the microcellular foam compresses later in the lifecycle to absorb volumetric expansion—preventing outer housing warping and busbar fatigue fractures.   2. The Firewall Framework: 3D Directional Venting and Thermal Isolation Engineering To achieve unconditional compliance with rigorous international abuse standards like UL 9540A or ECE R100, the internal thermal fluid dynamics of the pack must incorporate advanced thermal barriers and venting modeling:   Serpentine Aerogel Barriers: Inserting 1 mm silica aerogel sheets with an ultra-low thermal conductivity of just 0.016 W/m⋅K between adjacent cells effectively isolates the thermal shock.   Directional Top-Venting Channels: Cell venting valves are aligned to interface with an isolated top-venting manifold. In an abuse event,1000°C high-pressure effluent is purged directionally within 0.5 seconds. Combined with high-flux thermal convection from the bottom liquid-cooling plate, this guarantees zero thermal propagation across the system.

Core Constraints of Energy Storage Containers: An In-Depth Analysis of Highway Transportation Gauge 1. Core Definition in One Sentence The highway transportation gauge refers to the statutory rigid upper limit on the total height, width and length of vehicle-cargo combinations for road traffic. Serving as an invisible traffic boundary, it imposes rigid restrictions on the external dimensions, internal structural layout and battery loading capacity of energy storage containers, and constitutes a fundamental prerequisite for the engineering design of energy storage containers. 2. Core Logic: Nature and Constraint Rules of Transportation Gauge 2.1 What is the Highway Transportation Gauge Energy storage containers are not fixed equipment. They need to be transported from factories to project sites by trailers, passing through various traffic facilities such as expressways, tunnels, bridge openings and toll stations. The highway transportation gauge is a unified dimensional "traffic threshold" that all road-going equipment must comply with; any equipment exceeding the standard is prohibited from normal road passage. In accordance with the , the statutory red lines for vehicle traffic dimensions are clearly defined: the total height of vehicle and cargo (measured from the ground) shall not exceed 4 meters, the total width shall not exceed 2.55 meters, and the total length shall not exceed 18.1 meters. Any vehicle exceeding any of the above indicators will be recognized as an out-of-gauge transport vehicle and prohibited from traveling on ordinary highways. A straightforward life analogy can illustrate this rule: the height limit of a residential underground parking garage entrance is fixed, and no vehicle can enter if it exceeds the limit, regardless of its quality or value. The same principle applies to energy storage container transportation. No matter how advanced the internal battery system is, an energy storage container with external dimensions exceeding the highway gauge red line cannot be delivered via conventional logistics. Furthermore, the dimensional constraints for energy storage container transportation are millimeter-level precise superposition constraints. In mainstream industrial transportation configurations, the no-load height of the traction saddle of a semi-trailer tractor is up to 1110mm. The overall total height, consisting of the container’s own height, tire ground clearance and chassis height, must be strictly controlled within 4 meters with no margin for error. 2.2 Core Product Design Parameters Restricted by the Gauge The most critical constraint imposed by the highway transportation gauge is the fixed internal net height of energy storage containers, which serves as the core indicator determining the single-container energy storage capacity and system energy density. Currently, the energy storage industry universally adopts 20-foot High Cube (20HQ) standard containers with external dimensions of 6058×2438×2896mm. The 2896mm container height is the maximum compliant usable height derived inversely from the 4-meter highway height limit. After deducting the saddle height (approximately 1100mm), tire diameter and chassis height, the remaining vertical space available for the container is around 2896mm. What does the internal net height determine? It dictates the number of vertical layers of battery modules that can be stacked inside the container, as well as the vertical space occupied by liquid cooling pipelines, wiring trays, and fire protection systems. Every marginal increase in internal net height allows an additional layer of batteries, directly boosting the system energy density. Nevertheless, the 2896mm upper limit is non-negotiable. Designers can only optimize within this fixed boundary by adopting thinner container panels and compact wiring layouts to maximize the utilization of every millimeter of internal space. Quantitative comparison of container types: The height of a standard High Cube (HC/HQ) container is 2896mm, while that of a General Purpose (GP) container is only 2591mm. The 305mm height difference enables HQ containers to accommodate approximately 12% more battery volume with identical length and width dimensions. This is the core reason why almost all energy storage containers adopt High Cube solutions. Energy storage products using GP containers unnecessarily sacrifice 305mm of vertical space, resulting in inherently lower capacity under the same floor area. 2.3 Embodiment of Gauge Constraints in Standard Containers The external dimension parameter "6058×2438×2896mm" specified in the technical datasheets of energy storage containers is not arbitrarily defined, but represents the dimensional ceiling derived strictly from highway transportation gauge constraints. There are 13 types of international standard containers in service, featuring a unified width of 2438mm, four optional lengths (12192mm, 9125mm, 6058mm, 2991mm), and three optional heights (2896mm, 2591mm, 2438mm). Energy storage containers adopt these standard dimensions not for aesthetic purposes, but because they are internationally verified highway traffic safety dimensions that enable barrier-free transportation via roads, ports and railways across most regions worldwide. Width constraints are equally stringent. A total vehicle-cargo width exceeding 2.55 meters constitutes out-of-gauge transportation. The 2438mm width of standard containers, together with auxiliary fixing and protective structures on both sides, is precisely controlled below the legal limit. Even a marginal excess of several millimeters requires special approval for oversize cargo transportation, which brings cumbersome approval procedures, restricted transportation routes, and impassable tunnels and bridges. Such constraints directly affect product quotation strategies. Some system integrators attempt to develop customized oversized containers to increase single-unit capacity, only to face exponentially higher delivery costs. Custom oversized containers require out-of-gauge transportation permits, escort vehicles, restricted nighttime travel hours, and temporary adjustment of height limit poles via road administration coordination. These implicit costs often offset all capacity benefits brought by enlarged dimensions. Therefore, the parameter "20HQ, External Dimensions: 6058×2438×2896mm" on energy storage product datasheets represents an invisible millimeter-accurate traffic tunnel extending from factories to project sites. Every dimensional parameter of energy storage containers is meticulously optimized by engineers to achieve the ultimate performance within rigid highway transportation boundaries. 3. Practical Application Scenarios Scenario 1: Structural Design Review During the design review of a new high-capacity energy storage container, a client proposed raising the container height from 2896mm to 3200mm to add more battery layers. Without a clear understanding of rigid highway gauge constraints, the design team might proceed with the customized height, only to discover out-of-gauge issues after production. Finished containers would fail conventional road transportation and require special oversize approval, causing weeks of project delays. With full awareness of transportation constraints, the design team can clearly define 2896mm as the physical height limit for highway transportation at the early review stage. The optimization focus shifts to thinning internal structural components and compacting wiring layouts, maximizing internal net height within compliant standard dimensions rather than blindly increasing external size. Scenario 2: Localized Delivery of Overseas Projects The road infrastructure standards of some Southeast Asian countries differ from China’s, with local road height limits as low as 3.5 meters. Blindly adopting domestic standard 20HQ containers for overseas projects will lead to impassable key transportation sections, requiring split transportation or route adjustment and triggering dual risks of schedule delay and cost overrun. Professional technical teams will collect local highway gauge parameters during the bidding phase, proactively evaluating the feasibility of replacing HQ containers with 2591mm-high GP containers or planning dedicated transportation routes. This converts transportation constraints into standardized design inputs and eliminates unexpected delivery risks. Scenario 3: Product Selection and Capacity Calculation During the feasibility study of energy storage power stations, developers often face two bidding schemes: a standard 5MWh 20HQ container solution and a low-priced 6MWh customized wide-body container solution. Without gauge expertise, developers tend to select the seemingly cost-effective customized wide-body scheme based on higher capacity and lower unit price. In practice, professional developers will verify whether the customized container width exceeds the 2.55-meter legal limit, and evaluate additional costs and schedule risks arising from special oversize transportation approval. After incorporating these implicit costs, the so-called low-cost customized solution usually proves more expensive than standard container solutions. 4. Real Engineering Case Personnel: Chief Structural Engineer Wei, responsible for structural design and engineering implementation of new-generation high-capacity energy storage containers at a professional energy storage system integrator. Background: The company planned to launch a flagship 6.9MWh single-container product for a large state-owned enterprise grid-side energy storage project bidding. The product team estimated that raising the container height from the standard 2896mm to 3100mm would add one layer of battery modules, increasing capacity by approximately 15% to meet the 6.9MWh target. The Chief Structural Engineer was instructed to advance the 3100mm height design within three weeks. Process: Instead of starting drawing design immediately, Engineer Wei first verified the highway transportation feasibility of the 3100mm container with the logistics team. The verification results were definitive: the saddle height of a standard low-bed trailer is approximately 1100mm, with an additional 900mm occupied by tire ground clearance and chassis height, totaling 2000mm. A 3100mm container would result in an overall transport height of 5100mm, far exceeding the 4-meter highway height limit. Forced implementation would require mandatory out-of-gauge approval for each shipment, with a 5–15 working days approval cycle, restricted routes excluding certain bridges and tunnels, and dedicated escort fleets. This would increase single-container transportation costs by approximately RMB 35,000 and extend the transportation cycle from 1 day to 4–7 days. Engineer Wei submitted a comprehensive cost and risk analysis report and proposed an optimized alternative solution: retaining the standard 2896mm container height, adjusting internal liquid cooling pipelines from top routing to bottom routing, and adopting ultra-thin liquid cooling plates with a thickness of 80mm. This optimization increased the internal net height from 2550mm to 2650mm, creating sufficient vertical space for additional cell arrangements and ultimately achieving the 6.9MWh capacity target without modifying external dimensions. Result: The optimized solution was approved, and the structural design review was completed on schedule. The 6.9MWh flagship product successfully participated in the bidding and won the RMB 230 million project contract, with standard compliant dimensions and zero transportation restriction risks as core competitive advantages. Adopting the 3100mm out-of-gauge design would have incurred over RMB 1.8 million in additional transportation fees (50 containers × RMB 35,000 per unit), and prolonged transportation cycles would have caused schedule violations and severe contract default risks. Key Insight: The competitiveness of energy storage containers lies not in oversized external dimensions, but in maximizing internal space utilization within standardized highway transportation boundaries. The transportation gauge forms an unbreakable rigid ceiling, and core design competence lies in precise optimization within this ceiling. 5. Conclusion In 2025, the capacity competition of energy storage containers has fully shifted towards internal integration density optimization. The standard 2896mm High Cube container framework will remain unchanged in the short to medium term, serving as the fundamental engineering benchmark for the industry.

In power and energy storage systems driving for ≥ 350Wh/kg, pairing high-nickel cathodes (such as NMC811) with silicon-carbon anodes is the benchmark material vector. However, the bleeding-edge industry pain point lies in the severe volumetric expansion (up to 300%) of silicon anodes and the continuous oxidative decomposition of liquid electrolytes under high operational voltages, which rapidly accelerates capacity fade and heightens thermal runaway risks.   Standard semi-solid iterations rely on rudimentary mixing, which fails under high stress. To achieve genuine industrial-grade stability, engineers must conquer high interfacial impedance and electrode stress failure through advanced material processing.   1. The Breakthrough: Shifting from Blending to "In-situ Thermal Polymerization"   Top-tier tier-1 manufacturers are shifting away from the practice of directly mixing solid-state powders into slurries. The leading edge of industry processing optimizes a precise sequence: Pre-injecting a low-viscosity liquid monomer→ Thoroughly wetting porous electrodes→rightarrow In-situ Thermal Polymerization.   Molecular-Level Seamless Contact: During the injection phase, a low-viscosity precursor completely infuses the nano-pores of both anode and cathode active materials. Controlled thermal activation then triggers polymerization, trapping volatile free liquids below 7% by weight. This lowers interfacial resistance by two orders of magnitude, neutralizing the typical rate-capability penalty of semi-solid chemistry.   2. Expert Architecture: The Self-Healing Micro-Crack Network   To address the critical fracturing of silicon-carbon particles during extended cycling, mechanical containment alone is insufficient. A highly sophisticated approach introduces a self-healing additive enriched with Dynamic Covalent Bonds into the solid polymer matrix.   Mechanism: As the electrode swells and generates micro-cracks during charging, the polymer chains automatically realign and crosslink under localized mechanical stress, autonomously repairing the interfacial degradation and maintaining the integrity of the conductive network.   Result: This process extends the cycle life of customized high-energy cells by over 30% at 45°C, ensuring international projects achieve commercial longevity alongside maximum safety profiles.

In July 2026, China’s sodium-ion battery technology achieved a major overseas breakthrough with a 5GWh large-scale European energy storage strategic order. Focusing on distributed PV energy storage and commercial peak-valley arbitrage scenarios in Western Europe, the Tianheng sodium-ion energy storage system will be deployed on a large scale starting from 2027.     This is the first large-scale landing of Chinese sodium-ion batteries in Europe’s high-end energy storage market, marking the official recognition of sodium-ion technology by global mainstream energy markets and breaking the long-term monopoly of lithium batteries in overseas energy storage fields. With excellent low-temperature performance, long cycle life, controllable cost, abundant raw materials and higher safety, sodium-ion batteries are more suitable for European distributed outdoor energy storage, island energy storage and low-temperature regional energy storage scenarios.

The mass production and widespread rollout of ultra-large energy storage cells above 500Ah, including 587Ah and 628Ah models, are reshaping the commercial and industrial (C&I) energy storage sector in 2026. Industry calculations confirm that full set energy storage systems built with these oversized cells deliver an around 10% total cost reduction compared to traditional small 314Ah cell solutions.         The cost-saving advantage mainly comes from optimized system integration. To reach the same energy capacity, ultra-large cells drastically cut the total number of single cells required. This significantly lowers spending on auxiliary components such as copper bars, wiring harnesses, connectors and fuses, while simplifying PACK cabinets, support frames and BMS monitoring channels. Labor costs for assembly and on-site installation are also greatly reduced. Besides, energy storage containers with large cells feature higher space utilization, helping factories and commercial parks save extra construction expenses without expanding storage rooms.   Leading battery manufacturers have launched standardized C&I energy storage container products equipped with ultra-large cells, which are widely adopted for factory peak-valley arbitrage, backup power supply, solar-storage integration and virtual power plant matching applications. Apart from lower upfront costs, fewer cell parallel connections effectively reduce performance inconsistency and energy loss, improving the overall cycle stability and simplifying daily maintenance.         Market insiders expect the penetration rate of 500Ah+ large cells to keep climbing this year. Lower system costs will shorten the return cycle of C&I energy storage projects and accelerate global adoption of user-side energy storage solutions.