Novel Parameter Identification Method for Lithium-Ion Batteries Based on Curve Fitting

被引:8
|
作者
Lukic, Milos [1 ]
Giangrande, Paolo [1 ]
Klumpner, Christian [1 ]
Galea, Michael [2 ]
机构
[1] Univ Nottingham, PEMC, Nottingham, England
[2] Univ Nottingham, Key Lab More Elect Aircraft Technol Zhejiang Prov, Ningbo, Peoples R China
来源
2020 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC) | 2020年
关键词
Batteries; modelling; parameter identification; energy storage device; ENERGY-STORAGE SYSTEM; MODEL;
D O I
10.1109/VPPC49601.2020.9330955
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper describes a new curve-fitting lithium-ion battery parameter identification method for equivalent circuit models. The current pulse/relaxation test is carried out and the corresponding terminal voltage is used for extracting the battery model parameters. Analysis and fitting of the waveform is performed for both pulse and relaxation periods without assuming the initial conditions of the associated RC branches. This approach is demonstrated for 2nd order model using commercial battery cell and model results are presented and compared against experimental finding revealing a good agreement.
引用
收藏
页数:5
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