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Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method

Author

Listed:
  • Hongtao Liao

    (School of Automation, Central South University, Changsha 410083, China)

  • Fu Jiang

    (School of Computer Science and Engineering, Central South University, Changsha 410083, China)

  • Cheng Jin

    (School of Automation, Central South University, Changsha 410083, China)

  • Yue Wu

    (School of Automation, Central South University, Changsha 410083, China)

  • Heng Li

    (School of Computer Science and Engineering, Central South University, Changsha 410083, China)

  • Yongjie Liu

    (School of Automation, Central South University, Changsha 410083, China)

  • Zhiwu Huang

    (School of Automation, Central South University, Changsha 410083, China)

  • Jun Peng

    (School of Computer Science and Engineering, Central South University, Changsha 410083, China)

Abstract

Battery balance methods are the key technology to ensure the safe and efficient operation of the energy storage systems. Nevertheless, convenient balance methods experience slow convergence and difficult to adapt to quick charging applications. To solve the problem, in this paper, an artificial potential field-based lithium-ion battery balance method is proposed. Firstly, a cyber-physical model of the battery equalization system is proposed, in which the physical layer models the circuit components and the cyber layer represents the communication topology between the batteries. Then the virtual force function is established by artificial potential field to attract the voltage and state-of-charge of each cell to nominal values. With a feedback control law, the charging current of the battery is reasonably distributed to realize the rapid balance among batteries. The experimental results verify the effectiveness and superiority of the proposed method.

Suggested Citation

  • Hongtao Liao & Fu Jiang & Cheng Jin & Yue Wu & Heng Li & Yongjie Liu & Zhiwu Huang & Jun Peng, 2020. "Lithium-Ion Battery SoC Equilibrium: An Artificial Potential Field-Based Method," Energies, MDPI, vol. 13(21), pages 1-15, October.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:21:p:5691-:d:437877
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    References listed on IDEAS

    as
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