| Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
|---|---|---|
| Article Number | 01076 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/shsconf/202316601076 | |
| Published online | 05 May 2023 | |
Decay model of energy storage battery life under multiple influencing factors of grid dispatching
Dongguan Power Supply Bureau of Guangdong Power Grid Corporation, Dongguan, Guangdong, China
* Corresponding author: 706360854@qq.com
Energy storage batteries work under constantly changing operating conditions such as temperature, depth of discharge, and discharge rate, which will lead to serious energy loss and low utilization rate of the battery, resulting in a sharp attenuation of life, and the battery often fails before the end of its service life. Battery replacement leads to increasing energy storage costs, and in order to ensure the efficient, safe and reliable operation of batteries under complex working conditions of the power grid, effective management of batteries is required. The battery model is the theoretical basis of the management algorithm, and life prediction is the key technology to ensure battery safety. In view of the above practical application requirements, this paper studies the dynamic modeling of energy storage battery life based on multi-parameter information, and the results show that the proposed life model accurately reflects the battery life under multi-parameter information.
© The Authors, published by EDP Sciences, 2023
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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