Emulating Electric Vehicle Regenerative and Friction Braking Effect Using a Hardware-in-the-Loop (HIL) Motor/Dynamometer Test Bench

被引:0
作者
Fajri, Poria [1 ]
Prabhala, Venkata Anand K. [1 ]
Lotfi, Nima [1 ]
Ferdowsi, Mehdi [1 ]
Shamsi, Pourya [1 ]
机构
[1] Missouri Univ Sci & Technol, Rolla, MO 65409 USA
来源
IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY | 2014年
关键词
brake controller; electric vehicle (EV); friction braking; motor/dynamometer; regenerative braking;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper provides a new approach for emulating electric vehicle (EV) braking performance on a motor/dynamometer test bench. The brake force distribution between regenerative braking and friction braking of both the front and rear axles are discussed in detail. A brake controller is designed, which represents a very close model of an actual EV braking system and takes into account both regenerative and friction braking limitations. The proposed brake controller is then integrated into the existing controller of an EV Hardware-in-the-Loop (HIL) test bench, and its performance is validated in real-time using the same experimental setup.
引用
收藏
页码:2997 / 3003
页数:7
相关论文
共 13 条
  • [1] [Anonymous], 2000, SAE T 2
  • [2] [Anonymous], 2011, P IEEE VEHICLE POWER
  • [3] Cao BG, 2005, 2005 IEEE International Conference on Vehicular Electronics and Safety Proceedings, P92
  • [4] Fajri P, 2013, 2013 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), P1155
  • [5] Fajri P, 2013, IEEE POWER ENERG CON, P83, DOI 10.1109/PECI.2013.6506039
  • [6] Fajri P, 2012, IEEE IND ELEC, P4115, DOI 10.1109/IECON.2012.6389231
  • [7] Gao Y., 2005, POW ELE APP, DOI 10.1201/9781420037739
  • [8] Regenerative Braking Strategy for Electric Vehicles
    Guo, Jingang
    Wang, Junping
    Cao, Binggang
    [J]. 2009 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1 AND 2, 2009, : 864 - 868
  • [9] Jeschke S., 2012, P 2012 IEEE INT ELEC, P1
  • [10] Braking force distribution research in electric vehicle regenerative braking strategy
    Ling, Zhao
    Lan, Tang
    [J]. 2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 1, 2012, : 98 - 101