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Rapid Estimation Method for State of Charge of Lithium-Ion Battery Based on Fractional Continual Variable Order Model

Author

Listed:
  • Xin Lu

    (Department of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Hui Li

    (Microvast Power Systems Co., Ltd., Huzhou 313000, China)

  • Jun Xu

    (Department of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Siyuan Chen

    (Department of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China)

  • Ning Chen

    (Department of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China)

Abstract

In recent years, the fractional order model has been employed to state of charge (SOC) estimation. The non integer differentiation order being expressed as a function of recursive factors defining the fractality of charge distribution on porous electrodes. The battery SOC affects the fractal dimension of charge distribution, therefore the order of the fractional order model varies with the SOC at the same condition. This paper proposes a new method to estimate the SOC. A fractional continuous variable order model is used to characterize the fractal morphology of charge distribution. The order identification results showed that there is a stable monotonic relationship between the fractional order and the SOC after the battery inner electrochemical reaction reaches balanced. This feature makes the proposed model particularly suitable for SOC estimation when the battery is in the resting state. Moreover, a fast iterative method based on the proposed model is introduced for SOC estimation. The experimental results showed that the proposed iterative method can quickly estimate the SOC by several iterations while maintaining high estimation accuracy.

Suggested Citation

  • Xin Lu & Hui Li & Jun Xu & Siyuan Chen & Ning Chen, 2018. "Rapid Estimation Method for State of Charge of Lithium-Ion Battery Based on Fractional Continual Variable Order Model," Energies, MDPI, vol. 11(4), pages 1-18, March.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:4:p:714-:d:137474
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    References listed on IDEAS

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    Cited by:

    1. Chengcheng Chang & Yanping Zheng & Yang Yu, 2020. "Estimation for Battery State of Charge Based on Temperature Effect and Fractional Extended Kalman Filter," Energies, MDPI, vol. 13(22), pages 1-24, November.

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