Research on methods for evaluating the health condition of power batteries

Xingwang Pi; Qian Liu

doi:10.1117/12.3015340

6 February 2024 Research on methods for evaluating the health condition of power batteries

Xingwang Pi, Qian Liu

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129795J (2024) https://doi.org/10.1117/12.3015340
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

With the increasing demand for electric vehicles and energy storage systems, the health condition evaluation of power batteries has become a critical research area. This paper presents a comprehensive study on methods for assessing the health condition of power batteries. The research focuses on both feature-based and data-driven approaches, aiming to provide accurate and efficient evaluations without requiring in-depth knowledge of battery reaction mechanisms. Various parameters and indicators are analyzed and utilized to quantify the health condition of power batteries. Additionally, advanced techniques such as machine learning and artificial intelligence are employed to develop predictive models for estimating the health condition. The proposed evaluation methods contribute to improving battery recycling rates and ensuring the proper disposal of lithium-ion power batteries. The results of this research provide valuable insights for the development of effective and reliable health condition evaluation methods for power batteries.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xingwang Pi and Qian Liu "Research on methods for evaluating the health condition of power batteries", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129795J (6 February 2024); https://doi.org/10.1117/12.3015340

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