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State of charge estimation by square root cubature particle filter approach with fractional order model of lithium-ion battery

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Abstract

In this paper, a square root cubature particle filter approach was designed to estimate the state of charge of lithium-ion battery, which not only enhanced the numerical stability and guaranteed positive definiteness of the state covariance, but also increased accuracy and decreased computation quantity. Due to the fractional characteristics of the battery capacitance, a fractional order model was used to formulate the lithium-ion battery. Considering the high accuracy and easy convergence, a particle swarm optimization algorithm was utilized to identify the model parameters. The above-mentioned approach was modelled and translated into C code, which was downloaded into battery control unit of battery management system for experimental validation. Two kinds of dynamic cycles were utilized to validate the proposed approach at different temperatures, where both unscent Kalman filter and cubature Kalman filter were compared with the proposed approach. Experimental results indicate that the proposed approach has better accuracy and robustness, and fractional order model is more accurate than integer order model. Therefore, the square root cubature particle filter with fractional order model of lithium-ion battery is a good candidate to estimate the state of charge.

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Authors and Affiliations

  1. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009, China

    YiWen Liu, Qin Shi, YuJiang Wei & ZeJia He

  2. The State Key Laboratory of Mechanical Transmissions, Chongqing University, Chongqing, 400044, China

    XiaoSong Hu

  3. Laboratory of Automotive Intelligence and Electrification, Hefei University of Technology, Hefei, 230009, China

    Lin He

Authors
  1. YiWen Liu
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  2. Qin Shi
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  3. YuJiang Wei
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  4. ZeJia He
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  5. XiaoSong Hu
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  6. Lin He
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Corresponding author

Correspondence to Lin He.

Additional information

This work was supported by the National Key Research and Development Program of China (Grant No. 2017YFB0103104), the Key Research and Development Program of Jiangsu Province (Grant No. BE2021006-2), the Innovation Project of New Energy Vehicle and Intelligent Connected Vehicle of Anhui Province, and the Foundation of State Key Laboratory of Automotive Simulation and Control (Grant No. 20201107).

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Liu, Y., Shi, Q., Wei, Y. et al. State of charge estimation by square root cubature particle filter approach with fractional order model of lithium-ion battery. Sci. China Technol. Sci. 65, 1760–1771 (2022). https://doi.org/10.1007/s11431-021-2029-y

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  • DOI: https://doi.org/10.1007/s11431-021-2029-y

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