Novel method to Estimate SoH of Lithium-Ion Batteries

被引:3
|
作者
Jain, Palash [1 ]
Saha, Sudipto [1 ]
Sankaranarayanan, V [1 ]
机构
[1] Natl Inst Technol, Elect & Elect Engn, Tiruchirappalli, Tamil Nadu, India
关键词
SoC; SoH; Electric Vehicle; Battery; State Observer; Regression model; CHARGE ESTIMATION; STATE;
D O I
10.1109/IEMRE52042.2021.9386881
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
State of Health (SoH) estimation is one of the most important functions of the Battery Management System as it ensures safe and reliable operation of Lithium-Ion battery. SoH estimation is done by developing a regression model between SoH and Health parameter, by studying the charging dataset of the battery throughout it's working life (upto 60 % SoH). The health parameter is calculated as the charging time between two selected voltage ranges instead of taking the entire voltage range. The selection of the voltage range for SoH prediction is done based on the goodness of fit of the regression model. The training dataset consists of health parameter evaluated at regular intervals of SoH. The regression line is tested with a wide range of test data and the accuracy is found to be over 99%.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] A novel data-driven IBA-ELM model for SOH / SOC estimation of lithium-ion batteries
    Ge, Dongdong
    Jin, Guiyang
    Wang, Jianqiang
    Zhang, Zhendong
    ENERGY, 2024, 305
  • [32] A novel active equalization method for lithium-ion batteries in electric vehicles
    Wang, Yujie
    Zhang, Chenbin
    Chen, Zonghai
    Xie, Jing
    Zhang, Xu
    APPLIED ENERGY, 2015, 145 : 36 - 42
  • [33] Experimental investigation of a novel hybrid cooling method for lithium-ion batteries
    Wei, Yuyang
    Agelin-Chaab, Martin
    APPLIED THERMAL ENGINEERING, 2018, 136 : 375 - 387
  • [34] State of Health (SOH) Estimation of Lithium-Ion Batteries Based on ABC-BiGRU
    Li, Hao
    Chen, Chao
    Wei, Jie
    Chen, Zhuo
    Lei, Guangzhou
    Wu, Lingling
    ELECTRONICS, 2024, 13 (09)
  • [35] Estimate state of charge in lithium-ion batteries with unknown data
    Hu, Jingwei
    Li, Xiaodong
    Fang, Zheng
    Cheng, Jun
    Yi, Longqiang
    Zhang, Zhihong
    APPLIED ENERGY, 2025, 389
  • [36] SOH Estimation Method for Lithium-ion Battery Based on Discharge Characteristics
    Yu, Zhilong
    Zhang, Yekai
    Qi, Lihua
    Li, Ran
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2022, 17 (07):
  • [37] A unified GPR model based on transfer learning for SOH prediction of lithium-ion batteries
    Cai, Li
    JOURNAL OF PROCESS CONTROL, 2024, 144
  • [38] SOH Estimation of Lithium-ion Batteries Based on Fast Time Domain Impedance Spectroscopy
    Lyu, Chao
    Zhang, Tao
    Luo, Weilin
    Wei, Gang
    Ma, Baozhao
    Wang, Lixin
    PROCEEDINGS OF THE 2019 14TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2019), 2019, : 2142 - 2147
  • [39] A novel electrolyte solvent for rechargeable lithium and lithium-ion batteries
    Zhang, SS
    Angell, CA
    JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1996, 143 (12) : 4047 - 4053
  • [40] Systematic mixed adaptive observer and EKF approach to estimate SOC and SOH of lithium-ion battery
    Gholizadeh, Mehdi
    Yazdizadeh, Alireza
    IET ELECTRICAL SYSTEMS IN TRANSPORTATION, 2020, 10 (02) : 135 - 143