Potassium-Ion Battery Startup Group1 Promises Revolutionary Energy Storage Solution
Group1, a startup, has developed a revolutionary potassium-ion battery technology that promises to be faster, cheaper, and more environmentally friendly than current lithium-ion or LFP batteries.
Enovix: 혁신적인 배터리 기술로 소비자 전자 시장을 장악하다
Enovix는 혁신적인 배터리 설계와 대량 생산 능력을 갖추어 소비자 전자 시장을 선도할 수 있는 유일한 기업이다.
CATL Unveils Shenxing Plus Battery, Posing Potential Challenge to Tesla's EV Dominance
CATL's new Shenxing Plus battery offers significant advancements in energy density, charging speed, and cost, potentially disrupting Tesla's position in the electric vehicle market.
Enhancing Lithium-Ion Battery Lifespan Prediction through Attention-Based Models and Systematic Input Reduction
Attention-based models can identify critical timesteps and cycles to systematically reduce the required input data size for accurate lithium-ion battery lifespan prediction without compromising performance.
Chemo-Mechanical Modelling: A Critical Tool for Advancing Battery Technology
Chemo-mechanical modelling is a crucial tool for understanding and improving the performance and lifetime of current and next-generation battery technologies, addressing key challenges such as diffusion-induced stress, volumetric strains, and dendrite growth.
Bias-Compensated Algorithm for Lithium Iron Phosphate Battery Estimation
Accurate estimation of SOC and SOH is crucial for battery safety. A bias-compensated algorithm enhances accuracy under voltage measurement bias.
MambaLithium: Selective State Space Model for Lithium-Ion Battery Estimation
The author introduces MambaLithium, a selective state space model tailored for precise estimation of remaining-useful-life, state-of-health, and state-of-charge of lithium-ion batteries. By leveraging the Mamba algorithms, MambaLithium enhances accuracy in predicting battery health and performance metrics.
A Comprehensive Dataset of Battery Cell CT Scans
The author presents a dataset of over one thousand CT scans of battery cells to address manufacturing variability and defects, crucial for quality control in battery technology.
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