Braking force distribution strategy based on electromagnetic-mechanical coupled regenerative braking system

被引：0
|
作者：
Zhang Z. [1 ]
Wang G. [1 ]
Zhang L. [1 ,2 ]
Zhao J. [1 ]
He C. [1 ]
机构：
[1] College of Engineering, China Agricultural University, Beijing
[2] Transportation Institute, Inner Mongolia University, Hohhot
来源：
Zhongnan Daxue Xuebao (Ziran Kexue Ban) | / 6卷 / 1530-1537期
基金：
中国国家自然科学基金;
关键词：
Braking energy recovery; Braking force distribution; Coupled braking; Electric vehicles; Electromagnetic braking;
D O I：
10.11817/j.issn.1672-7207.2017.06.016
中图分类号：
学科分类号：
摘要：
For the deficiency of current electric vehicle regenerative braking, a new design of electromagnetic- mechanical coupled regenerative braking (EMCB) system was proposed, and the coupled mechanism was analyzed. A braking force distribution strategy was proposed based on EMCB system and curve of ideal braking force distribution, and the dynamic model of EMCB and control strategy were established by Matlab/Simulink. The braking energy recovery, braking stability and braking comfort were studied, contrasted and simulated with the co-simulation platform of CarSim&Simulink during normal braking and emergency braking with or without slip control. The results show that the strategy not only can realize practical braking force distribution curve which agrees with I-curve well under low and middle braking strength, but also meet brake efficiency under high braking strength. The braking force distribution strategy ensures braking stability and braking comfort, which can maintain a high recovery efficiency and increase the driving range of electric vehicles effectively. Further, the strategy lays a foundation for obtaining good control performance of antilock brake system (ABS), electronic brakeforce distribution (EBD) and electronic stability program (ESP), etc. © 2017, Central South University Press. All right reserved.
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页码：1530 / 1537
页数：7
相关论文
共 20 条
  • [1] Clarke P., Muneer T., Cullinane K., Cutting vehicle emissions with regenerative braking, Transportation Research Part D: Transport and Environment, 15, 3, pp. 160-167, (2010)
  • [2] Zhu H., Xie Y., He J., Et al., Hybrid electric bus regenerative braking parallel control strategy optimization and simulation, Journal of Central South University (Science and Technology), 44, 1, pp. 122-128, (2013)
  • [3] Zhang R., Yao E.J., Eco-driving at signalised intersections for electric vehicles, IET Intelligent Transport Systems, 9, 5, pp. 488-497, (2015)
  • [4] Gonzalez-Gil A., Palacin R., Batty P., Et al., A systems approach to reduce urban rail energy consumption, Energy Conversion and Management, 80, pp. 509-524, (2014)
  • [5] Zhang J., Lu C., Li Y., Et al., Status quo and prospect of regenerative braking technology in electric cars, Automotive Engineering, 36, 8, pp. 911-918, (2014)
  • [6] Sun D., Lan F., Chen J., Et al., A study on the braking energy recovery strategy for a 4WD battery electric vehicle based on ideal braking force distribution(Curve I), Automotive Engineering, 35, 12, pp. 1057-1061, (2013)
  • [7] Lu D., Ouyang M., Gu J., Et al., Optimal regenerative braking control for permanent magnet synchronous motors in electric vehicles, Proceedings of the Chinese Society for Electrical Engineering, 33, 3, pp. 83-91, (2013)
  • [8] Li Z., Chowdhury M., Bhavsar P., Et al., Optimizing the performance of vehicle-to-grid (V2G) enabled battery electric vehicles through a smart charge scheduling model, International Journal of Automotive Technology, 16, 5, pp. 827-837, (2015)
  • [9] Dincmen E., Guvenc B.A., A control strategy for parallel hybrid electric vehicles based on extremum seeking, Vehicle System Dynamics, 50, 2, pp. 199-227, (2012)
  • [10] Zou Z., Cao J., Cao B., Et al., Evaluation strategy of regenerative braking energy for supercapacitor vehicle, ISA Transactions, 55, pp. 234-240, (2015)
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