Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm

Tian XIA; Daifei LIU; Jiahui YUE; Laien CHEN; Yiliang Li

doi:10.11930/j.issn.1004-9649.202401111

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Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm

New Energy and Energy Storage | 更新时间：2025-12-10

- Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm
- “The latest research report shows that scientists have used the beetle algorithm to optimize the Kalman filter, significantly improving the accuracy of lithium-ion battery parameter identification and providing a reliable basis for battery state prediction.”
- Electric Power Vol. 58, Issue 1, Pages: 196-204(2025)
- 作者机构：
  
  1.长沙理工大学电气与信息工程学院，湖南长沙　410114
  2.长沙理工大学能源与动力工程学院，湖南长沙　410114
  3.长高电新科技股份公司，湖南长沙　410219
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202401111
  CLC：
- Received：25 January 2024，
  
  Revised：2024-12-11，
  
  Published：28 January 2025
- 稿件说明：
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Tian XIA, Daifei LIU, Jiahui YUE, et al. Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm[J]. Electric Power, 2025, 58(1): 196-204.
DOI：

Tian XIA, Daifei LIU, Jiahui YUE, et al. Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm[J]. Electric Power, 2025, 58(1): 196-204. DOI： 10.11930/j.issn.1004-9649.202401111.

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Estimation of Model Parameters of Lithium Batteries Based on Kalman Filtering Optimized by Dung Beetle Algorithm

DOI：10.11930/j.issn.1004-9649.202401111