LAPSE:2023.22837
Published Article
LAPSE:2023.22837
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, Chunmei Yu
March 24, 2023
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, parameter identification, resistance capacitance time constant, Thevenin model
Suggested Citation
Zhang L, Wang S, Stroe DI, Zou C, Fernandez C, Yu C. An Accurate Time Constant Parameter Determination Method for the Varying Condition Equivalent Circuit Model of Lithium Batteries. (2023). LAPSE:2023.22837
Author Affiliations
Zhang L: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China; School of Mechanical and Electrical Engineering, Mianyang Teachers’College, Mianyang 621000, China [ORCID]
Wang S: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China; Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, Denmark
Stroe DI: Department of Energy Technology, Aalborg University, Pontoppidanstraede 111, 9220 Aalborg East, Denmark [ORCID]
Zou C: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Fernandez C: School of Pharmacy and Life Sciences, Robert Gordon University, Aberdeen AB10-7GJ, UK
Yu C: School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China
Journal Name
Energies
Volume
13
Issue
8
Article Number
E2057
Year
2020
Publication Date
2020-04-20
Published Version
ISSN
1996-1073
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PII: en13082057, Publication Type: Journal Article
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doi:10.3390/en13082057
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Mar 24, 2023
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