Dynamically Parameterized Structure for Lithium-ion Battery Method

doi:10.3901/JME.2024.14.298

Abstract

Abstract: The rapid development of the electric vehicle and energy storage station for power grid has put forward higher level requirements for the battery management system(BMS), accurate Lithium-ion(Li-ion) battery modeling and parameter identification are necessary for monitoring the states of the Li-ion battery and efficient energy management. Due to the model structure, the traditional equivalent circuit model(ECM) can only exhibit the impedance characteristics in one time scale. The complex dynamic physical and chemical status inside the Li-ion battery can not be effectively reflected in this condition. Thus, according to the multiple-time constant characteristic of the battery, It is proposed a dynamically parameterized structure for the first-order ECM and the corresponding parameter identification method. By introducing the time factor to the procedure of parameter extraction, the RC element in the model can be extended from two-dimensional curve to three- dimensional surface. In this way, the parameters of the model changed with the charging and discharging conditions during the relaxation period, and then the internal electrochemical state of the Li-ion battery can be exactly reflected. Based on the above foundation, this work establishes the dynamically parameterized structure for ECM, and the experimental validation has proved the effectiveness of the proposed method.

Key words: state of charge, dynamically parameterized structure, lithium-ion battery, equivalent circuit model

CLC Number:

TG156

PENG Jichang, LIU Kailong, MENG Jinhao, LIU Haitao. Dynamically Parameterized Structure for Lithium-ion Battery Method[J]. Journal of Mechanical Engineering, 2024, 60(14): 298-305.

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