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Health prognostics for lithium-ion batteries:mechanisms, methods, and prospects

Authors :
Yunhong Che
Xiaosong Hu
Xianke Lin
Jia Guo
Remus Teodorescu
Source :
Che, Y, Hu, X, Lin, X, Guo, J & Teodorescu, R 2023, ' Health prognostics for lithium-ion batteries : mechanisms, methods, and prospects ', Energy and Environmental Science, vol. 16, no. 2, pp. 338-371 . https://doi.org/10.1039/d2ee03019e
Publication Year :
2023

Abstract

Lithium-ion battery aging mechanism analysis and health prognostics are of great significance for a smart battery management system to ensure safe and optimal use of the battery system. This paper provides a comprehensive review of aging mechanisms and the state-of-the-art health prognostic methods and summarizes the main challenges and research prospects for battery health prognostics. First, the complex relationships among aging mechanisms, aging modes, influencing factors, and aging types are reviewed and summarized. Then, the battery health prognostic methods are divided according to different time scales and objectives, which include the short-term state of health estimation, long-term end-of-life prediction, and degradation trajectory prediction, followed by a detailed review of each prognostic task and method. For consistency, we first provide a clear and concise description of each method, showing the similarities and peculiarities of these methods, and then review several representative works. After that, comparative evaluations are conducted. The main advantages and disadvantages of each prognostic task and prognostic method are analyzed in detail. Next, key challenges are presented by considering the specific characteristics of each prognostic task. Moreover, for each challenge, potential solutions are presented and discussed. These proposed potential solutions to the main challenges are beneficial and can be considered by researchers in their further studies. Finally, the future trends of battery health prognostics are discussed, and several new ideas for battery health prognostics are proposed.

Details

Language :
English
Database :
OpenAIRE
Journal :
Che, Y, Hu, X, Lin, X, Guo, J & Teodorescu, R 2023, ' Health prognostics for lithium-ion batteries : mechanisms, methods, and prospects ', Energy and Environmental Science, vol. 16, no. 2, pp. 338-371 . https://doi.org/10.1039/d2ee03019e
Accession number :
edsair.doi.dedup.....883d54762cb9a5ef1444a1cb994fa0df
Full Text :
https://doi.org/10.1039/d2ee03019e