E3S Web Conf.
Volume 338, 20227th International Conference on Environmental Science and Material Application (ESMA 2021)
|Number of page(s)||5|
|Published online||20 January 2022|
Capacity estimation based on incremental capacity and Gaussian process regression for retired lithium-ion batteries
School of Environment and Energy, Peking University Shenzhen Graduate School, Shenzhen, China
* Corresponding author: email@example.com
Fast capacity estimation for retired batteries is necessary when batteries are recycled for echelon utilization. Here, a fast capacity estimation method is proposed for retired LiFePO4 battery. First, a full survey of battery pack and cells degradation after a long period of service is studied. Then the filtered ICA is used to study degradation variation phenomenon of retired batteries, the relationship between IC curve feature and remaining capacity was studied. Finally, a fast capacity estimation using incremental capacity and Gaussian process regression is proposed. Our results show high efficiency and accuracy of the proposed method.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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