An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries

Liang Zhang, Shunli Wang, Daniel-Ioan Stroe, Chuanyun Zou, Carlos Fernandez and Chunmei Yu
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Liang Zhang: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Shunli Wang: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Daniel-Ioan Stroe: Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, Denmark
Chuanyun Zou: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Carlos Fernandez: School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen AB10-7GJ, UK
Chunmei Yu: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China

Energies, 2020, vol. 13, issue 8, 1-12

Abstract: An accurate estimation of the state of charge for lithium battery depends on an accurate identification of the battery model parameters. In order to identify the polarization resistance and polarization capacitance in a Thevenin equivalent circuit model of lithium battery, the discharge and shelved states of a Thevenin circuit model were analyzed in this paper, together with the basic reasons for the difference in the resistance capacitance time constant and the accurate characterization of the resistance capacitance time constant in detail. The exact mathematical expression of the working characteristics of the circuit in two states were deduced thereafter. Moreover, based on the data of various working conditions, the parameters of the Thevenin circuit model through hybrid pulse power characterization experiment was identified, the simulation model was built, and a performance analysis was carried out. The experiments showed that the accuracy of the Thevenin circuit model can become 99.14% higher under dynamic test conditions and the new identification method that is based on the resistance capacitance time constant. This verifies that this method is highly accurate in the parameter identification of a lithium battery model.

Keywords: lithium battery; Thevenin model; resistance capacitance time constant; parameter identification (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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