Battery state of health estimation under fast charging via deep transfer learning
Jingyuan Zhao, Di Li, Yuqi Li, Dapai Shi, Jinrui Nan, Andrew Burke
Abstract
) of 0.97. By integrating local and global analysis, this approach significantly enhances battery aging detection under fast-charging conditions, demonstrating strong potential for battery health management systems.
Topics & Concepts
Battery (electricity)Transfer of learningState (computer science)State of healthComputer scienceArtificial intelligencePhysicsThermodynamicsAlgorithmPower (physics)Advanced Battery Technologies ResearchAdvancements in Battery MaterialsFault Detection and Control Systems