期刊
ETRANSPORTATION
卷 3, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.etran.2020.100051
关键词
Battery aging; Lithium-ion batteries; Energy storage; Differential analysis; Incremental capacity analysis; Differential thermal voltammetry
资金
- Ministry of Science and Technology of China [2016YFE0102200]
- National Natural Science Foundation of China of China [51706117, U1564205]
- China Postdoctoral Science Foundation [2019T120087, 2017M610086]
- China Association for Science and Technology [2018QNRC001]
Over the past decade, major progress in diagnosis of battery degradation has had a substantial effect on the development of electric vehicles. However, despite recent advances, most studies suffer from fatal flaws in how the data are processed caused by discrete sampling levels and associated noise, requiring smoothing algorithms that are not reliable or reproducible. We report the realization of an accurate and reproducible approach, as Level Evaluation ANalysis or LEAN method, to diagnose the battery degradation based on counting the number of points at each sampling level, of which the accuracy and reproducibility is proven by mathematical arguments. Its reliability is verified to be consistent with previously published data from four laboratories around the world. The simple code, exact fitting, consistent outcome, computational availability and reliability make the LEAN method promising for vehicular application in both the big data analysis on the cloud and the online battery monitoring, supporting the intelligent management of power sources for autonomous vehicles. (C) 2020 Published by Elsevier B.V.
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