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Study on Adaptive Cycle Life Extension Method of Li-Ion Battery Based on Differential Thermal Voltammetry Parameter Decoupling

Author

Listed:
  • Zhixuan Wu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Guorong Zhu

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Qian Wang

    (Department of Energy Technology, University Aalborg, 9220 Aalborg, Denmark)

  • Shengjie Yang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Jing V. Wang

    (School of Automation, Wuhan University of Technology, Wuhan 430070, China)

  • Jianqiang Kang

    (Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan 430070, China
    Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan 430070, China)

Abstract

Battery aging leads to reduction in a battery’s cycle life, which restricts the development of energy storage technology. At present, the state of health (SOH) assessment technology, which is used to indicate the battery cycle life, has been widely studied. This paper tries to find a way to adjust the battery management system adaptively in order to prolong the battery cycle life with the change of SOH. In this paper, an improved Galvanostatic Intermittent Titration Technique (GITT) method is proposed to decouple the terminal voltage into overpotential (induced by total internal resistance) and stoichiometric drift (caused by battery aging, indicated by OCV). Based on improved GITT, the open circuit voltage-temperature change ( OCV-dT/dV ) characteristics of SOH are described more accurately. With such an accurate description of SOH change, the adaptive method to change the discharge and charge cut-off voltage is obtained, whose application can prolong battery cycle life. Experiments verify that, in the middle of a battery’s life-cycle, the adaptive method to change the discharge and charge cut-off voltage can effectively improve the cycle life of the battery. This method can be applied during the period of preventive maintenance in battery storage systems.

Suggested Citation

  • Zhixuan Wu & Guorong Zhu & Qian Wang & Shengjie Yang & Jing V. Wang & Jianqiang Kang, 2021. "Study on Adaptive Cycle Life Extension Method of Li-Ion Battery Based on Differential Thermal Voltammetry Parameter Decoupling," Energies, MDPI, vol. 14(19), pages 1-15, September.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:19:p:6239-:d:647605
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