Lithium-ion battery modeling and parameter identification based on fractional theory

作     者：Hu, Minghui Li, Yunxiao Li, Shuxian Fu, Chunyun Qin, Datong Li, Zonghua 

作者机构：Chongqing Univ Sch Automot Engn State Key Lab Mech Transmiss Chongqing 400044 Peoples R China Changan New Energy Automobile Res Inst Chongqing 401120 Peoples R China 

出 版 物：《ENERGY》 (能源杂志)

年 卷 期：2018年第165卷第PartB期

页      面：153-163页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：National Natural Science Foundation of the People's Republic of China National Key Research and Development Project [2018YFB0106102] Fundamental Research Funds for the Central Universities [106112016CDJX2338825] Major Program of Chongqing Municipality [cstc2015zdcy-ztzx60006] 

主　　题：Lithium-ion battery Fractional-order model Parameter identification Particle swarm algorithm Electric vehicle 

摘      要：To effectively use and manage lithium-ion batteries and accurately estimate battery states such as state of charge and state of health, battery models with good robustness, accuracy and low-complexity need to be established. So the models can be embedded in microprocessors and provide accurate results in real-time. Firstly, this paper analyzes the electrochemical impedance spectrogram of lithium-ion battery, and adopts impedance elements with fractional order characteristics such as constant phase element and Warburg element to improve the second-order RC integer equivalent circuit model based on the fractional calculus theory. Secondly, a fractional-order equivalent circuit model of lithium-ion battery is established, which can accurately describe the electrochemical processes such as charge transfer reaction, double-layer effect, mass transfer and diffusion of lithium-ion battery. Thirdly, based on the mixed swarm-based cooperative particle swarm optimization, parameter identification of the fractional-order equivalent circuit model is conducted using the federal city driving schedule experimental data in the time domain. The simulation results show that the model has higher accuracy and better robustness against different driving conditions, different SOC ranges and different temperatures than the second order RC equivalent circuit model. The SOC estimation accuracy based on the fractional-order equivalent circuit model of lithium-ion battery is validated. (C) 2018 Elsevier Ltd. All rights reserved.