期刊
JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE
卷 17, 期 4, 页码 -出版社
ASME
DOI: 10.1115/1.4045008
关键词
advanced materials characterization; batteries; electrochemical engineering; electrochemical storage; novel numerical; and analytical simulations
资金
- state of Hawaii
- Office of Naval Research (ONR) Asia Pacific Research Initiative for Sustainable Energy Systems (APRISES) Awards [N00014-17-1-2206, N00014-18-1-2127]
State-of-health (SOH) is an essential parameter for the proper functioning of large battery packs. A wide array of methodologies has been proposed in the literature to track state of health, but they often lack the proper validation that needed to be universally adaptable to large deployed systems. This is likely induced by the lack of knowledge bridge between scientists, who understand batteries, and engineers, who understand controls. In this work, we will attempt to bridge this gap by providing definitions, concepts, and tools to apply necessary material science knowledge to advanced battery management systems (BMS). We will address SOH determination and prediction, as well as BMS implementation and validation using the mechanistic framework developed around electrochemical voltage spectroscopies. Particular focus will be set on the onset and the prediction of the second stage of accelerating capacity loss that is commonly observed in commercial lithium-ion batteries.
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