A novel intelligent SOC prediction method of lithium-ion battery packs based on the improved unscented transformation

被引：2
作者：
Xie, Fei [1 ]
Wang, Shunli [1 ]
James, Coffie-ken [1 ]
Xie, Yanxin [1 ]
Liang, Xueqing [1 ]
机构：
[1] Southwest Univ Sci & Technol, Sch Informat Engn, Mianyang, Sichuan, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON ENERGY ENGINEERING AND ENVIRONMENTAL PROTECTION | 2019年 / 227卷
关键词：
CHARGE ESTIMATION; STATE;
D O I：
10.1088/1755-1315/227/3/032034
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：
The development of power lithium-ion battery packs is limited by the research and development level of Battery Management System (BMS). In this paper, an improved unscented transformation method is proposed, which is based on the six-section aero-lithium battery pack as the object of detection. The effective iterative calculation of State of Charge (SOC) value is realized by simplifying the process of three-particle and double Sigma processing. The accuracy of the method is verified by comparing the simulation results with the actual measurement results. Experimental results show that the error of this method is less than 3.00%, which effectively improves the SOC estimation accuracy and is of great significance to energy management and safety assurance of power lithium-ion battery packs.
引用
收藏
页数：7
相关论文
共 50 条
  • [21] SOH prediction for lithium-ion battery based on improved support vector regression
    Wu, Tiezhou
    Huang, Yiheng
    Xu, Yuhong
    Jiang, Jiuchun
    Liu, Sizhe
    Li, Zihao
    INTERNATIONAL JOURNAL OF GREEN ENERGY, 2023, 20 (03) : 227 - 236
  • [22] RUL Prediction of Lithium-Ion Battery Based on Improved DGWO-ELM Method in a Random Discharge Rates Environment
    Zhu, Jun
    Tan, Tianxiong
    Wu, Lifeng
    Yuan, Huimei
    IEEE ACCESS, 2019, 7 : 125176 - 125187
  • [23] Voltage-SOC balancing control scheme for series-connected lithium-ion battery packs
    Wu, Tiezhou
    Ji, Feng
    Liao, Li
    Chang, Chun
    JOURNAL OF ENERGY STORAGE, 2019, 25
  • [24] A Remaining Discharge Energy Prediction Method for Lithium-Ion Battery Pack Considering SOC and Parameter Inconsistency
    Fang, Qiaohua
    Wei, Xuezhe
    Dai, Haifeng
    ENERGIES, 2019, 12 (06):
  • [25] SOC and SOH Estimation for a Lithium-Ion Battery Using a Novel Adaptive Observer Based Approach
    Gholizadeh, Mehdi
    Yazdizadeh, Alireza
    2020 28TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2020, : 215 - 220
  • [26] Estimation of Lithium-Ion Battery SOC Model Based on AGA-FOUKF Algorithm
    Fang, Chao
    Jin, Zhiyang
    Wu, Jingjin
    Liu, Chenguang
    FRONTIERS IN ENERGY RESEARCH, 2021, 9
  • [27] SOC estimation of Lithium-ion battery based on an Extended H-infinity filter
    Cai, Tiantian
    Liu, Yuanyuan
    He, Zhiwei
    Gao, Mingyu
    Liu, Jingbiao
    2019 IEEE 17TH INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS (INDIN), 2019, : 1700 - 1705
  • [28] Lithium-Ion Battery SOC Estimation and Hardware-in-the-Loop Simulation Based on EKF
    Guo, Lin
    Li, Junqiu
    Fu, Zijian
    INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 : 2599 - 2604
  • [29] A Nonlinear Observer Approach of SOC Estimation Based on Hysteresis Model for Lithium-ion Battery
    Ma, Yan
    Li, Bingsi
    Li, Guangyuan
    Zhang, Jixing
    Chen, Hong
    IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2017, 4 (02) : 195 - 204
  • [30] SOC Estimation of Lithium-Ion Battery for Electric Vehicle Based on Deep Multilayer Perceptron
    Li, Xueguang
    Jiang, Haizhou
    Guo, Sufen
    Xu, Jingxiu
    Li, Meiyan
    Liu, Xiaoyan
    Zhang, Xusong
    COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2022, 2022
12345