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A novel composite fractional order battery model with online parameter identification and truncation approximation calculation

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  • Qin, Pengliang
  • Zhao, Linhui

Abstract

Fractional order model (FOM) has proven effective in battery state estimation, but their broader application is hindered by three critical limitations: accuracy constraints, limited operational adaptability, and computational complexity impeding embedded deployment. This work designs a composite FOM based on the main reactions inside battery to further improve the model accuracy of conventional FOM. An online parameter identification method is developed to improve the model's adaptability, and a truncation approximation calculation strategy for fractional-order calculation is proposed to significantly reduce computational complexity. Experimental results demonstrate that the designed composite FOM achieves high accuracy, and the truncation approximation strategy reduces computation time by approximately 60 % with only a 1.43 % loss in accuracy.

Suggested Citation

  • Qin, Pengliang & Zhao, Linhui, 2025. "A novel composite fractional order battery model with online parameter identification and truncation approximation calculation," Energy, Elsevier, vol. 322(C).
    • Handle: RePEc:eee:energy:v:322:y:2025:i:c:s0360544225012034
    DOI: 10.1016/j.energy.2025.135561
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    Cited by:

    1. Ning Chen & Yihang Xie & Yuanhao Cheng & Huaiqing Wang & Yu Zhou & Xu Zhao & Jiayao Chen & Chunhua Yang, 2025. "A Review of Cross-Scale State Estimation Techniques for Power Batteries in Electric Vehicles: Evolution from Single-State to Multi-State Cooperative Estimation," Energies, MDPI, vol. 18(19), pages 1-27, October.
    2. Zihan Dong & Haodong Liu & Hua Liu & Yongfu Chen & Xinru Fu & Yang Zhang & Jiajia Xia & Zhiwei Zhang & Qiao Chen, 2025. "Analysis of Habitat Quality Changes in Mountainous Areas Using the PLUS Model and Construction of a Dynamic Restoration Framework for Ecological Security Patterns: A Case Study of Golog Tibetan Autonomous Prefecture, Qinghai Province, China," Land, MDPI, vol. 14(8), pages 1-23, July.

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