Available capacity estimation of electric vehicle batteries based on Peukert equation at various temperatures

被引:6
|
作者
Liu Xingtao [1 ]
Wu Ji [1 ]
Zhang Chenbin [1 ]
Chen Zonghai [1 ]
机构
[1] Univ Sci & Technol China, Dept Automat, Hefei 230027, Peoples R China
来源
Energy Engineering and Environment Engineering | 2014年 / 535卷
关键词
Electric vehicles; Li-ion battery; Available capacity; Peukert equation; Temperature; STATE;
D O I
10.4028/www.scientific.net/AMM.535.167
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
Electric vehicles (EVs) are becoming widely used for its low energy consumption and low pollution. An accurate estimation of available capacity for Li-ion batteries has an important utility significance to optimize its performance in the applications of EVs. The Peukert equation is applied to estimate the available capacity of batteries. However, the fact that the available capacity of Li-ion batteries is dependent on battery temperatures can result in errors while using the Peukert equation. To address this problem, this paper proposes an extended Peukert equation to include temperature effect. This method considers battery temperature as an input variable into the Peukert equation. Experiments based on Li-ion batteries are carried out under various current and temperatures. The comparison of the estimated and the actual available capacity indicates that the proposed algorithm can provide a reliable and accurate estimation of the available capacity for Li-ion batteries.
引用
收藏
页码:167 / 171
页数:5
相关论文
共 50 条
  • [21] Peukert-Equation-Based State-of-Charge Estimation for LiFePO4 Batteries Considering the Battery Thermal Evolution Effect
    Xie, Jiale
    Ma, Jiachen
    Chen, Jun
    ENERGIES, 2018, 11 (05)
  • [22] Available Capacity Estimation of Lithium-ion Batteries Based on Optimized Gaussian Process Regression
    Shen J.-W.
    Ma W.-S.
    Xiao R.-X.
    Liu Y.-G.
    Chen Z.
    Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2022, 35 (08): : 31 - 43
  • [23] Deep reinforcement learning based state of charge estimation and management of electric vehicle batteries
    Saba, Irum
    Tariq, Muhammad
    Ullah, Mukhtar
    Poor, H. Vincent
    IET SMART GRID, 2023, 6 (04) : 422 - 431
  • [24] SOH Estimation of LMO/NMC-based Electric Vehicle Lithium-Ion Batteries Using the Incremental Capacity Analysis Technique
    Stroe, Daniel-Ioan
    Schaltz, Erik
    2018 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2018, : 2720 - 2725
  • [25] Reaserch on state of charge estimation of batteries used in electric vehicle
    Wang NianChun
    Qin Yan
    2011 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2011,
  • [26] An Improved Recursive Total Least Squares Estimation of Capacity for Electric Vehicle Lithium-Iron Phosphate Batteries
    Wang, Shaohua
    Yang, Yue
    Guo, Konghui
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2020, 2020 (2020)
  • [27] A Novel Data-Driven Fast Capacity Estimation of Spent Electric Vehicle Lithium-ion Batteries
    Zhang, Caiping
    Jiang, Jiuchun
    Zhang, Weige
    Wang, Yukun
    Sharkh, Suleiman M.
    Xiong, Rui
    ENERGIES, 2014, 7 (12): : 8076 - 8094
  • [28] A critical review of using the Peukert equation for determining the remaining capacity of lead-acid and lithium-ion batteries
    Doerffel, D
    Abu Sharkh, S
    JOURNAL OF POWER SOURCES, 2006, 155 (02) : 395 - 400
  • [29] State of charge estimation in electric vehicles at various ambient temperatures
    Guo, Feng
    Hu, Guangdi
    Zhou, Pengkai
    Hu, Jianyao
    Sai, Yinghui
    INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2020, 44 (09) : 7357 - 7370
  • [30] Impact of Available Electric Vehicle Battery Power Capacity on Power System Reliability
    Zhang, Bei
    Kezunovic, Mladen
    2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES), 2013,