Lithium-ion batteries
PulseAugur coverage of Lithium-ion batteries — every cluster mentioning Lithium-ion batteries across labs, papers, and developer communities, ranked by signal.
6 day(s) with sentiment data
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Chery Automobile to test next-gen solid-state EV batteries next year
Chinese automaker Chery Automobile plans to begin testing solid-state batteries next year, aiming to be a leader in their commercialization. The company will invest approximately $1.49 billion over the next two years an…
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AI framework accelerates discovery of battery electrolyte additives
Researchers have developed a novel framework called ProtoMI to accelerate the discovery of electrolyte additives for lithium-ion batteries. This literature-driven approach leverages sparse data by identifying key molecu…
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AI drives new fire protection challenges in data centers
The increasing power density and new cooling technologies driven by AI are creating new fire protection challenges in data centers. Higher concentrations of computing power in smaller footprints, along with the adoption…
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Anaphite's dry-coating tech promises cheaper, greener EV batteries
Anaphite, a British battery technology company, is developing a dry-coating method for manufacturing electric vehicle battery electrodes. This innovative process aims to eliminate the need for solvent-heavy slurries and…
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AI models improve lithium-ion battery health estimation with limited data
Researchers have developed new methods for estimating the State of Health (SOH) of lithium-ion batteries, particularly when labeled data is scarce. One approach utilizes degradation-aligned self-supervised learning with…
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Physics-Informed ML boosts PHM performance, review finds · 1 source tracked
A systematic literature review of 212 studies reveals that Physics-Informed Machine Learning (PIML) is increasingly applied to Prognostics and Health Management (PHM) tasks. While PIML models demonstrate improved predic…
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New C2L-Net model offers faster, more efficient lithium-ion battery SOC estimation
Researchers have developed C2L-Net, a novel data-driven framework designed for efficient and accurate state-of-charge (SOC) estimation in lithium-ion batteries. This new model addresses limitations of existing methods b…
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Airline industry warns on lithium-ion batteries; rubidium frequency standards explained
The airline industry is advising passengers to exercise caution when traveling with lithium-ion batteries. Separately, an explainer details the function and application of rubidium frequency standards, which are crucial…
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CATL unveils new Shenxing EV batteries for faster, safer charging
Contemporary Amperex Technology Co. Limited (CATL), the world's largest EV battery producer, has unveiled its new Shenxing product series. These batteries are designed to be safer and faster charging, addressing concern…
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Why smartphones drain battery even when turned off
Even when powered off, smartphones continue to consume a small amount of battery power. This drain is primarily due to a clock-and-wake circuit that allows the device to respond to the power button and maintain accurate…
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Hawaii enacts AI deepfake law; Ohio data center vote delayed; AI data center battery risks studied
Hawaii has enacted new legislation to combat the abusive use of generative AI, allowing victims of reputational damage from unauthorized deepfakes to pursue civil action and seek compensation. Meanwhile, in Ohio, a prop…
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AI model predicts lithium-ion battery discharge behavior with high accuracy
Researchers have developed a new deep learning pipeline using the Swin3D Transformer to predict the discharge behavior of lithium-ion batteries, significantly reducing computational costs compared to traditional physics…
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New RoSIP-Batt framework enhances lithium-ion battery health and life prediction
Researchers have developed a new framework called RoSIP-Batt to improve the joint prediction of State of Health (SOH) and Remaining Useful Life (RUL) for lithium-ion batteries. This approach addresses the challenge of b…
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New AI framework predicts lithium-ion battery thermal runaway using mechanical signals
Researchers have developed a new physics-guided framework to predict thermal runaway in lithium-ion batteries, integrating mechanical signals with temperature and voltage data. This approach uses a convolutional classif…
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New AI frameworks enhance battery health diagnostics and design
Researchers have developed two novel approaches to improve battery health diagnostics and design. The first, RoSIP-Batt, uses a physics-guided Transformer network to jointly predict State of Health (SOH) and Remaining U…
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China ends tax breaks for EV batteries, solar cells amid industry growth
China is set to impose a consumption tax on lithium-ion batteries and solar cells, ending a decade-long exemption. Starting September 1, lithium-ion batteries will face a 2% tax, rising to 4% a year later, while solar c…
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China Adjusts Battery Consumption Tax Policy Starting 2026
China's Ministry of Finance, General Administration of Customs, and State Taxation Administration have announced adjustments to consumption tax policies for various battery types. Starting September 1, 2026, primary bat…
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New transfer learning method enhances AI for lithium-ion battery state estimation
Researchers have developed a transfer learning framework for physics-informed neural networks (PINNs) to improve state estimation in lithium-ion batteries. This approach addresses the challenge of training PINNs from sc…
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CATL chairman doubts solid-state battery commercial viability before 2030
Robin Zeng Yuqun, the chairman of Contemporary Amperex Technology Co. Limited (CATL), has expressed skepticism regarding the near-term commercial viability of solid-state batteries. He indicated that the technology is s…
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China's green exports to US surge amid AI boom and electrification demand
China's exports of green energy products to the US have seen a significant increase, driven by the global demand for electrification and decarbonization. Key products like photovoltaic cells, lithium-ion batteries, and …