Analysis of the relationship between operating parameters and health state of power batteries

Xingwang Pi; Qian Liu

doi:10.1117/12.3015327

6 February 2024 Analysis of the relationship between operating parameters and health state of power batteries

Xingwang Pi, Qian Liu

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129795L (2024) https://doi.org/10.1117/12.3015327
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

The health state of power batteries is influenced by various operating parameters, including charge-discharge rate, state of charge, and operating temperature. In this study, experiments were conducted to test the variations in the health state of power batteries under different charge-discharge rates, state of charge, and operating temperatures. The impact of these operating parameters on the health state of power batteries was analyzed. This research not only contributes to a more accurate assessment of the health state of power batteries but also provides labeled values for different operating parameters, which can be utilized in machine learning algorithms for determining the health state of power batteries. This, in turn, promotes the development of algorithms for assessing the health state of power batteries.

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

Citation Download Citation

Xingwang Pi and Qian Liu "Analysis of the relationship between operating parameters and health state of power batteries", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129795L (6 February 2024); https://doi.org/10.1117/12.3015327

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