Project Grant 2203990

Award Date 8/15/22
Completion Date 7/31/25
Dollars Obligated $396K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Storrs, CT 06269, USA
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The University will develop a physics-informed active safety platform that enables prediction and proactive prevention of lithium plating during battery charging. Researchers will validate multiphysics plating models, predict lithium plating probability, optimize charging protocols, and validate the platform using two real-world applications. The platform integrates multiphysics modeling, degradation diagnostics, and plating prognostics within a charging optimization process. This combines physics-based modeling with machine learning to achieve control-enabled active safety and reduce lithium plating risk. The work will provide scientific insights into harnessing physics and data to enable novel fast charging strategies and promote wider battery adoption. No subawards were issued.

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