Dynamic model of lithium polymer battery - Load resistor method for electric parameters identification

被引：39
作者：
Gandolfo, Daniel [1 ]
Brandao, Alexandre [2 ]
Patino, Daniel [1 ]
Molina, Marcelo [3 ]
机构：
[1] Univ Nacl San Juan, Inst Automat, RA-5400 San Juan, Argentina
[2] Univ Fed Vicosa, Dept Elect Engn, Vicosa, MG, Brazil
[3] Univ Nacl San Juan, Inst Energia Elect, RA-5400 San Juan, Argentina
来源：
JOURNAL OF THE ENERGY INSTITUTE | 2015年 / 88卷 / 04期
关键词：
Lithium polymer battery; State of charge (SOC); Open circuit voltage; Battery model; Electrical parameters; CHARGE ESTIMATOR; STATE; CAPACITY;
D O I：
10.1016/j.joei.2014.10.004
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Maximum battery runtime and its transients behaviors are crucial in many applications. With accurate battery models in hand, circuit designers can evaluate the performance of its developments considering the influence of a finite source of energy which has a particular dynamics; as well as the energy storage systems can be optimized. First, this work describes a complete dynamic model of a lithium polymer battery. In the sequel a simple and novel procedure is used to obtain the electric parameters of adopted model with the advantage of using only one resistor to represent the battery load and a pc-connected multimeter. The methodology used to identify the parameters of the battery model is simple, clearly explained and can be applied to various types of batteries. Simulation and experimental results are presented and discussed, demonstrating the good performance of the proposed identification methodology. (C) 2014 Energy Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：470 / 479
页数：10
相关论文
共 50 条
[31]   Parameter identification method for the variable order fractional-order equivalent model of lithium-ion battery [J].
Mao, Shunyong ;
Yu, Zhihao ;
Zhang, Zhenfu ;
Lv, Baocai ;
Sun, Zhezhe ;
Huai, Ruituo ;
Chang, Long ;
Li, Hongyu .
JOURNAL OF ENERGY STORAGE, 2023, 57
[32]   The parameter identification method study of the splice equivalent circuit model for the aerial lithium-ion battery pack [J].
Wang, Shunli ;
Fernandez, Carlos ;
Liu, Xiaohan ;
Su, Jie ;
Xie, Yanxin .
MEASUREMENT & CONTROL, 2018, 51 (5-6) :125-137
[33]   Optimal parameter identification strategy applied to lithium-ion battery model for electric vehicles using drive cycle data [J].
Ghadbane, Houssam Eddine ;
Rezk, Hegazy ;
Ferahtia, Seydali ;
Barkat, Said ;
Al-Dhaifallah, Mujahed .
ENERGY REPORTS, 2024, 11 :2049-2058
[34]   Model based identification of aging parameters in lithium ion batteries [J].
Prasad, Githin K. ;
Rahn, Christopher D. .
JOURNAL OF POWER SOURCES, 2013, 232 :79-85
[35]   Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions [J].
Tekin, Merve ;
Karamangil, M. Ihsan .
HELIYON, 2024, 10 (07)
[36]   Development of lithium ion and lithium polymer batteries for electric vehicle and home-use load leveling system application [J].
Iwahori, T ;
Mitsuishi, I ;
Shiraga, S ;
Nakajima, T ;
Momose, H ;
Ozaki, Y ;
Taniguchi, S ;
Awata, H ;
Ono, T ;
Takeuchi, K .
ELECTROCHIMICA ACTA, 2000, 45 (8-9) :1509-1512
[37]   Open Circuit Voltage Equation parameter identification of Lithium Ion Battery Model using Genetic Algorithm [J].
Narayanan, S. Siva Suriya ;
Thangavel, S. .
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT-2020), 2020, :1122-1127
[38]   Online Identification of Power Battery Parameters for Electric Vehicles Using a Decoupling Multiple Forgetting Factors Recursive Least Squares Method [J].
Liu, Xiulan ;
Jin, Yuan ;
Zeng, Shuang ;
Chen, Xi ;
Feng, Yi ;
Liu, Shiqi ;
Liu, Haolu .
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2020, 6 (03) :735-742
[39]   Implementation of reduced-order physics-based model and multi parameters identification strategy for lithium-ion battery [J].
Deng, Zhongwei ;
Deng, Hao ;
Yang, Lin ;
Cai, Yishan ;
Zhao, Xiaowei .
ENERGY, 2017, 138 :509-519
[40]   A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles [J].
Li, Xiaoyu ;
Wang, Zhenpo .
MEASUREMENT, 2018, 116 :402-411
12345