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

Lukic, Milos; Giangrande, Paolo; Klumpner, Christian; Galea, Michael

Abstract

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 2 nd order model using commercial battery cell and model results are presented and compared against experimental finding revealing a good agreement.

• Conference Name: 2020 IEEE Vehicle Power and Propulsion Conference (VPPC)
• Conference Location: Gijon, Spain
• Start Date: Nov 18, 2020
• End Date: Dec 16, 2020
• Acceptance Date: Jul 18, 2020
• Online Publication Date: Feb 18, 2021
• Publication Date: 2020-11
• Deposit Date: Apr 23, 2021
• Publicly Available Date: Apr 23, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• Series Title: IEEE Conference on Vehicle Power and Propulsion (VPPC)
• Series ISSN: 1938-8756
• Book Title: 2020 IEEE Vehicle Power and Propulsion Conference (VPPC)
• ISBN: 9781728189604
• DOI: https://doi.org/10.1109/vppc49601.2020.9330955
• Keywords: Batteries, modelling, parameter identification, energy storage device
• Public URL: https://nottingham-repository.worktribe.com/output/5490283
• Publisher URL: https://ieeexplore.ieee.org/document/9330955
• Additional Information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.