153 / 2021-04-19 10:39:57
SOC Estimation of Extended Kalman Filter Based on Hardware-in-the-Loop Simulation Platform
Lithium battery, battery equivalent circuit, state of charge, extended Kalman filter
Draft Rejected
君瑞 王 / 北方民族大学
腾 郭 / 北方民族大学
静超 周 / 北方民族大学
This paper studies the Extended Kalman Filter SOC estimation based on the hardware-in-the-loop simulation platform. The extended Kalman filter is used as the method of SOC estimation. The modeling strategy is based on the lithium battery equivalent circuit. Since the normal operation of the battery has strong nonlinearity, it is selected The general nonlinear equivalent circuit model fully considers the charge and discharge rate and the ambient temperature, and uses the Fourier function to effectively fit the model parameters; the extended Kalman filter algorithm is used to estimate the state of charge of the battery, and through MATLAB simulation, The Kalman filtering algorithm based on the empirical formula is compared to improve the estimation accuracy and verify the feasibility and reliability of the algorithm.
Important Date
  • Conference Date

    Jul 10

    2021

    to

    Jul 12

    2021

  • May 10 2021

    Draft paper submission deadline

  • Jul 06 2021

    Registration deadline

Sponsored By
Changsha University of Science & Technology
Supported By
IEEE Electron Devices Society
IEEE
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