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State of Charge Estimation of Composite Energy Storage Systems with Supercapacitors and Lithium Batteries

Author

Listed:
  • Kai Wang
  • Chunli Liu
  • Jianrui Sun
  • Kun Zhao
  • Licheng Wang
  • Jinyan Song
  • Chongxiong Duan
  • Liwei Li
  • Dan Selistean

Abstract

This paper studies the state of charge (SOC) estimation of supercapacitors and lithium batteries in the hybrid energy storage system of electric vehicles. According to the energy storage principle of the electric vehicle composite energy storage system, the circuit models of supercapacitors and lithium batteries were established, respectively, and the model parameters were identified online using the recursive least square (RLS) method and Kalman filtering (KF) algorithm. Then, the online estimation of SOC was completed based on the Kalman filtering algorithm and unscented Kalman filtering algorithm. Finally, the experimental platform for SOC estimation was built and Matlab was used for calculation and analysis. The experimental results showed that the SOC estimation results reached a high accuracy, and the variation range of estimation error was [−0.94%, 0.34%]. For lithium batteries, the recursive least square method is combined with the 2RC model to obtain the optimal result, and the estimation error is within the range of [−1.16%, 0.85%] in the case of comprehensive weighing accuracy and calculation amount. Moreover, the system has excellent robustness and high reliability.

Suggested Citation

  • Kai Wang & Chunli Liu & Jianrui Sun & Kun Zhao & Licheng Wang & Jinyan Song & Chongxiong Duan & Liwei Li & Dan Selistean, 2021. "State of Charge Estimation of Composite Energy Storage Systems with Supercapacitors and Lithium Batteries," Complexity, Hindawi, vol. 2021, pages 1-15, February.
    • Handle: RePEc:hin:complx:8816250
    DOI: 10.1155/2021/8816250
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    Cited by:

    1. Liu, Chunli & Li, Qiang & Wang, Kai, 2021. "State-of-charge estimation and remaining useful life prediction of supercapacitors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Benitto Albert Rayan & Umashankar Subramaniam & S. Balamurugan, 2023. "Wireless Power Transfer in Electric Vehicles: A Review on Compensation Topologies, Coil Structures, and Safety Aspects," Energies, MDPI, vol. 16(7), pages 1-46, March.
    3. Li, Dezhi & Li, Shuo & Zhang, Shubo & Sun, Jianrui & Wang, Licheng & Wang, Kai, 2022. "Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine," Energy, Elsevier, vol. 250(C).

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