Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network

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New-Type Power Grid | 更新时间：2025-10-11

- Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network
- “In the field of energy storage system safety, experts have established a prediction model for the available capacity of lithium-ion batteries, verified its accuracy, and provided a solution for the safe operation of energy storage systems.”
- Electric Power Vol. 58, Issue 2, Pages: 186-192, 215(2025)
- 作者机构：
  
  1.国网湖南省电力有限公司，湖南长沙　410004
  2.南京南瑞继保工程技术有限公司，江苏南京　211100
  3.长沙理工大学电气与信息工程学院，湖南长沙　410114
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202310039
  CLC：
- Received：15 November 2023，
  
  Revised：2024-07-11，
  
  Accepted：18 July 2024，
  
  Published：28 February 2025
- 稿件说明：
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Xiaozhong WU, Lihua XIAO, Chao TONG, et al. Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network[J]. Electric power, 2025, 58(2): 186-192, 215.
DOI：

Xiaozhong WU, Lihua XIAO, Chao TONG, et al. Capacity Prediction Model of Lithium-Ion Batteries Based on Transfer Entropy and JS-BP Neural Network[J]. Electric power, 2025, 58(2): 186-192, 215. DOI： 10.11930/j.issn.1004-9649.202310039.

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