State of health prediction model based on internal resistance

被引:37
作者
Ji, Hao [1 ,2 ]
Zhang, Wei [1 ,2 ]
Pan, Xu-Hai [1 ,2 ]
Hua, Min [1 ,2 ]
Chung, Yi-Hong [3 ]
Shu, Chi-Min [4 ]
Zhang, Li-Jing [1 ,2 ]
机构
[1] Nanjing Tech Univ, Coll Safety Sci & Engn, Nanjing 210009, Jiangsu, Peoples R China
[2] Nanjing Tech Univ, Jiangsu Key Lab Hazardous Chem Safety & Control, Nanjing, Peoples R China
[3] Grad Sch Engn Sci & Technol Yuntech, Touliu, Taiwan
[4] Ctr Proc Safety & Disaster Prevent, Dept Safety Hlth & Environm Engn, Touliu, Taiwan
关键词
battery cycle; internal resistance; lithium-ion battery; model-derived data; state of health; LITHIUM-ION BATTERIES; HIGH-RATE DISCHARGE; CHARGE;
D O I
10.1002/er.5383
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 state of health (SOH) is a crucial indicator of lithium-ion batteries. A battery cycle and calendar life are critical for electric vehicle batteries. Complex interactions occur between the SOH and internal resistance of a battery. In this study, several ternary lithium-ion battery charge discharge experiments were performed to investigate the effects of the ambient temperature, discharge rate, and depth of discharge on a battery's internal resistance. An SOH prediction model was then constructed and used to evaluate the remaining capacity of the electric vehicle battery. The model was verified through various experiments, and a comparison of experimental and model-derived data revealed a favorable agreement. Thus, the model accurately predicted the SOH of a ternary lithium-ion battery.
引用
收藏
页码:6502 / 6510
页数:9
相关论文
共 30 条
  • [1] Experimental investigation on lithium-ion battery thermal management based on flow boiling in mini-channel
    An, Zhoujian
    Jia, Li
    Li, Xuejiao
    Ding, Yong
    [J]. APPLIED THERMAL ENGINEERING, 2017, 117 : 534 - 543
  • [2] [Anonymous], 2011, THESIS
  • [3] Simultaneous acquisition of differential electrochemical mass spectrometry and infrared spectroscopy data for in situ characterization of gas evolution reactions in lithium-ion batteries
    Berkes, Balazs B.
    Jozwiuk, Anna
    Sommer, Heino
    Brezesinski, Torsten
    Janek, Juergen
    [J]. ELECTROCHEMISTRY COMMUNICATIONS, 2015, 60 : 64 - 69
  • [4] A graphical model for evaluating the status of series-connected lithium-ion battery pack
    Feng, Xuning
    Xu, Chengshan
    He, Xiangming
    Wang, Li
    Gao, Shang
    Ouyang, Minggao
    [J]. INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2019, 43 (02) : 749 - 766
  • [5] MULTIGRID MONTE-CARLO METHOD - CONCEPTUAL FOUNDATIONS
    GOODMAN, J
    SOKAL, AD
    [J]. PHYSICAL REVIEW D, 1989, 40 (06) : 2035 - 2071
  • [6] Thermal explosion hazards on 18650 lithium ion batteries with a VSP2 adiabatic calorimeter
    Jhu, Can-Yong
    Wang, Yih-Wen
    Shu, Chi-Min
    Chang, Jian-Chuang
    Wu, Hung-Chun
    [J]. JOURNAL OF HAZARDOUS MATERIALS, 2011, 192 (01) : 99 - 107
  • [7] Thermal analyses of LiFePO4/graphite battery discharge processes
    Jiang, Fangming
    Peng, Peng
    Sun, Yiqiong
    [J]. JOURNAL OF POWER SOURCES, 2013, 243 : 181 - 194
  • [8] Insight into heat generation of lithium ion batteries based on the electrochemical-thermal model at high discharge rates
    Lai, Yanqing
    Du, Shuanglong
    Ai, Liang
    Ai, Lihua
    Cheng, Yun
    Tang, Yiwei
    Jia, Ming
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2015, 40 (38) : 13039 - 13049
  • [9] A study on effect of lithium ion battery design variables upon features of thermal-runaway using mathematical model and simulation
    Lee, Chan Ho
    Bae, Sang June
    Jang, Minyoung
    [J]. JOURNAL OF POWER SOURCES, 2015, 293 : 498 - 510
  • [10] Liu CZ, 2017, IEEE T IND ELECTRON, V64, P1