An improved coulomb counting method based on non-destructive charge and discharge differentiation for the SOC estimation of NCM lithium-ion battery

被引:21
作者
Zhu, Yucheng [1 ]
Xiong, Yonglian [1 ,2 ]
Xiao, Jie [1 ]
Yi, Ting [1 ,2 ]
Li, Chunsheng [3 ,4 ]
Sun, Yan [3 ,4 ]
机构
[1] Yancheng Inst Technol, Coll Automot Engn, Yancheng 224051, Jiangsu, Peoples R China
[2] New Energy Sci & Energy Storage Engn Technol Res C, Yancheng 224051, Jiangsu, Peoples R China
[3] Suzhou Univ Sci & Technol, Sch Chem & Life Sci, Suzhou 215009, Jiangsu, Peoples R China
[4] Suzhou Univ Sci & Technol, Key Lab Adv Electrode Mat Novel Solar Cells Petr &, Suzhou 215009, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Coulomb counting method; State of charge; Non-destructive charge and discharge; differentiation; NCM battery; OBSERVER; MODEL; STATE;
D O I
10.1016/j.est.2023.108917
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
Accurate state of charge (SOC) estimation plays a crucial role in the safe and efficient operation of batteries. The coulomb counting (CC) approach has been used extensively in industrial production as a relatively easy-to-use and reliable algorithm for estimating battery SOC. However, the accuracy of standard CC method is constrained and it cannot satisfy some complex operating environment requirements. In this paper, a CC approach based on non-destructive charge and discharge differentiation is proposed on NCM battery. This method corrects the battery's initial SOC value using the open-circuit voltage method. It also corrects the actual capacity of the battery based on temperature, discharge rate and aging. Finally, it corrects the CC method's cumulative error using non-destructive capacity differentiation (dQ/dV) and voltage differentiation (dV/dQ). Experimental results show the maximum estimation error of the proposed approach is 3.33 % in the temperature range of -10 degrees C to 45 degrees C which is 15.57 % lower than the traditional OCV - CC method at -10 degrees C.
引用
收藏
页数:11
相关论文
共 31 条
[1]   Modeling, state of charge estimation, and charging of lithium-ion battery in electric vehicle: A review [J].
Adaikkappan, Maheshwari ;
Sathiyamoorthy, Nageswari .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2022, 46 (03) :2141-2165
[2]   State of charge estimation of a Li-ion battery based on extended Kalman filtering and sensor bias [J].
Al-Gabalawy, Mostafa ;
Hosny, Nesreen S. ;
Dawson, James A. ;
Omar, Ahmed, I .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2021, 45 (05) :6708-6726
[3]   Accuracy improvement of SOC estimation in lithium-ion batteries [J].
Awadallah, Mohamed A. ;
Venkatesh, Bala .
JOURNAL OF ENERGY STORAGE, 2016, 6 :95-104
[4]   Battery Management Systems-Challenges and Some Solutions [J].
Balasingam, Balakumar ;
Ahmed, Mostafa ;
Pattipati, Krishna .
ENERGIES, 2020, 13 (11)
[5]   Review of the Li-Ion Battery, Thermal Management, and AI-Based Battery Management System for EV Application [J].
Ghalkhani, Maryam ;
Habibi, Saeid .
ENERGIES, 2023, 16 (01)
[6]   Recursive State of Charge and State of Health Estimation Method for Lithium-Ion Batteries Based on Coulomb Counting and Open Circuit Voltage [J].
Gismero, Alejandro ;
Schaltz, Erik ;
Stroe, Daniel-Ioan .
ENERGIES, 2020, 13 (07)
[7]   Parameter and State of Charge Estimation Simultaneously for Lithium-Ion Battery Based on Improved Open Circuit Voltage Estimation Method [J].
Gong, Dongliang ;
Gao, Ying ;
Kou, Yalin .
ENERGY TECHNOLOGY, 2021, 9 (09)
[8]   A normal-gamma-based adaptive dual unscented Kalman filter for battery parameters and state-of-charge estimation with heavy-tailed measurement noise [J].
Hou, Jing ;
Yang, Yan ;
Gao, Tian .
INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (05) :3510-3525
[9]   Differential Capacity as a Tool for SOC and SOH Estimation of Lithium Ion Batteries Using Charge/Discharge Curves, Cyclic Voltammetry, Impedance Spectroscopy, and Heat Events: A Tutorial [J].
Kurzweil, Peter ;
Scheuerpflug, Wolfgang ;
Frenzel, Bernhard ;
Schell, Christian ;
Schottenbauer, Josef .
ENERGIES, 2022, 15 (13)
[10]   Research of Adaptive Extended Kalman Filter-Based SOC Estimator for Frequency Regulation ESS [J].
Kwon, Soon-Jong ;
Kim, Gunwoo ;
Park, Jinhyeong ;
Lim, Ji-Hun ;
Choi, Jinhyeok ;
Kim, Jonghoon .
APPLIED SCIENCES-BASEL, 2019, 9 (20)