SHS Web of Conferences (Jan 2023)

Decay model of energy storage battery life under multiple influencing factors of grid dispatching

  • Huang Xiaorong,
  • Huang Jieming,
  • Wei Jionghui,
  • Zhang Qingbo,
  • Li Yuanjia,
  • Dai Xiliang

DOI
https://doi.org/10.1051/shsconf/202316601076
Journal volume & issue
Vol. 166
p. 01076

Abstract

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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.