Study of the Starting Acceleration and Regenerative Braking Deceleration of an Electric Vehicle at Different Driving Modes

被引:1
作者
Dimitrov, Vasil [1 ]
Pavlov, Nikolay [2 ]
机构
[1] Todor Kableshkov Univ Transport, Dept Elect Power Supply & Elect Equipment Transpo, Sofia, Bulgaria
[2] Tech Univ Sofia, Dept Combust Engines Automot Engn & Transport, Sofia, Bulgaria
来源
2021 13TH ELECTRICAL ENGINEERING FACULTY CONFERENCE (BULEF) | 2021年
关键词
electric vehicle; regenerative braking; driving mode;
D O I
10.1109/BulEF53491.2021.9690780
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
This paper presents the results of studies of accelerations at start-up and deceleration at regenerative braking of an electric vehicle when choosing different driving modes. Four driving profiles have been studied in drive mode Standard mode, Eco, Eco+ and Emergency mode. There are different limits on the power of the electrical drive at different modes that reflects on the values of acceleration and maximum speed of the electric vehicle. At regenerative braking, five regenerative braking modes have been tested - D, D1, D2, D3 and B. The driving and regenerative braking modes can be selected by the driver depending on his wishes, with the exception of the emergency mode, which automatically switches on when the battery is highly discharged. In this case, the control system significantly reduces the available power to provide a greater mileage to reach the charging station. Tests have been performed in real traffic conditions and the results are presented in graphical form and analyzed.
引用
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页数:4
相关论文
共 14 条
  • [1] [Anonymous], 2013, 529 SSP VW
  • [2] [Anonymous], 2014, E UP SSP VW, P527
  • [3] [Anonymous], 2004, LECT LONGITUDINAL DY
  • [4] Bogdanov P., 1985, AUTOMOTIVE RECUPERAT
  • [5] Brenna M., 2018, IEEE Press Series on Power Engineering
  • [6] Dimitrov S., 2015, COURSE WORK MANUAL T
  • [7] Dimitrova E., 2019, 2019 11 ELECT ENG FA, P1
  • [8] An intelligent braking system composed single-pedal and multi-objective optimization neural network braking control strategies for electric vehicle
    He, Hongwen
    Wang, Chen
    Jia, Hui
    Cui, Xing
    [J]. APPLIED ENERGY, 2020, 259
  • [9] Evaluation of regenerative braking based on single-pedal control for electric vehicles
    Liu, Wei
    Qi, Hongzhong
    Liu, Xintian
    Wang, Yansong
    [J]. FRONTIERS OF MECHANICAL ENGINEERING, 2020, 15 (01) : 166 - 179
  • [10] Pavlov N., 2020, BULTRANS P, pI13