Cell-BMS validation with a hardware-in-the-loop simulation of lithium-ion battery cells for electric vehicles

被引:48
|
作者
Dai, Haifeng [1 ,2 ]
Zhang, Xiaolong [2 ]
Wei, Xuezhe [1 ,2 ]
Sun, Zechang [1 ,2 ]
Wang, Jiayuan [2 ]
Hu, Feng [2 ]
机构
[1] Tongji Univ, Natl Fuel Cell Vehicle & Powertrain Syst Res & En, Shanghai 201804, Peoples R China
[2] Tongji Univ, Sch Automot Studies, Shanghai 201804, Peoples R China
基金
中国国家自然科学基金;
关键词
Cell battery management system; Equivalent circuit model; Hardware-in-the-loop simulation; Electric vehicles; Lithium-ion battery; STATE; MANAGEMENT; BEHAVIOR; IDENTIFICATION; EQUALIZATION; HYSTERESIS; SYSTEMS;
D O I
10.1016/j.ijepes.2013.03.037
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Battery management system (BMS) plays a critical role in the development of hybrid electric vehicles (HEVs), plug-in hybrid vehicles (PHEVs) and battery electric vehicles (BEVs). The cell-BMS is the lower-level part of the BMS, which generally takes care of the individual cells directly, with functions mainly including voltage detection and cell balancing. In this paper, a configurable battery cell emulating system is developed to implement the hardware-in-the-loop (HIL) validation of the cell-BMS. The battery cell dynamics is simulated with a parameter-configurable equivalent circuit model consisting of three resistors, two capacitors and a SOC-controlled voltage source. The HIL system emulates battery cell dynamics to validate the function of voltage monitoring. With the bi-directional and power-amplified outputs, the system can also evaluate the performance of both active and passive cell balancing module. Meanwhile the emulated cells can be connected in series, and can be adapted to simulate some faults, e.g., over-charge and over-discharge as well. Initial testing cases using a cell-BMS prototype for the LiMnO2 based battery cells show a good performance of the system. The system standardizes function validation of the cell-BMS before the design finalization and thereby accelerates the BMS development and reduces the development costs. (C) 2013 Elsevier Ltd. All rights reserved.
引用
收藏
页码:174 / 184
页数:11
相关论文
共 50 条
  • [21] Verification of battery system model for environmentally friendly vehicles using a battery hardware-in-the-loop simulation
    Song, Hyun-Sik
    Kim, Tae-Hoon
    Jeong, Jin-Beom
    Kim, Byoung-Hoon
    Shin, Dong-Hyun
    Lee, Baek-Haeng
    Heo, Hoon
    [J]. IET POWER ELECTRONICS, 2013, 6 (02) : 417 - 424
  • [22] Simulation of Lithium-Ion Battery in Electric Vehicles and Analysis of Performance, Ageing, and Temperature Effects
    Bibi, Hridhya
    Ayaz, Muhammad Ashar
    Amjad, Anas
    Iqbal, Muhammad Naveed
    Khan, Irfan
    [J]. 2024 IEEE TEXAS POWER AND ENERGY CONFERENCE, TPEC, 2024, : 128 - 133
  • [23] Modeling and Simulation Research on Lithium-ion Battery in Electric Vehicles based on Genetic Algorithm
    Lin, Cheng
    Zhang, Xiaohua
    [J]. CURRENT DEVELOPMENT OF MECHANICAL ENGINEERING AND ENERGY, PTS 1 AND 2, 2014, 494-495 : 246 - 249
  • [24] Hardware-in-the-loop Implementation of ANFIS based Adaptive SoC Estimation of Lithium-ion Battery for Hybrid Vehicle Applications
    Singh, Krishna Veer
    Bansal, Hari Om
    Singh, Dheerendra
    [J]. JOURNAL OF ENERGY STORAGE, 2020, 27
  • [25] The Mathematical Model of 18650 Lithium-ion Battery in Electric Vehicles
    Amiribavandpour, Parisa
    Shen, Weixiang
    Kapoor, Ajay
    Shearer, Janine
    [J]. PROCEEDINGS OF THE 2013 IEEE 8TH CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2013, : 1264 - 1269
  • [26] Online model identification of lithium-ion battery for electric vehicles
    Hu Xiao-song
    Sun Feng-chun
    Zou Yuan
    [J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2011, 18 (05): : 1525 - 1531
  • [27] Online model identification of lithium-ion battery for electric vehicles
    Xiao-song Hu
    Feng-chun Sun
    Yuan Zou
    [J]. Journal of Central South University, 2011, 18 : 1525 - 1531
  • [28] Capacity fade modeling of a Lithium-ion battery for electric vehicles
    K. W. Baek
    E. S. Hong
    S. W. Cha
    [J]. International Journal of Automotive Technology, 2015, 16 : 309 - 315
  • [29] Capacity fade modeling of a Lithium-ion battery for electric vehicles
    Baek, K. W.
    Hong, E. S.
    Cha, S. W.
    [J]. INTERNATIONAL JOURNAL OF AUTOMOTIVE TECHNOLOGY, 2015, 16 (02) : 309 - 315
  • [30] Prediction of Ageing Effects on Lithium-Ion Battery for Electric Vehicles
    Micari, S.
    Foti, S.
    Testa, A.
    De Caro, S.
    Sergi, F.
    Andaloro, L.
    Aloisio, D.
    Napoli, G.
    [J]. 13TH INTERNATIONAL CONFERENCE ON ELEKTRO (ELEKTRO 2020), 2020,