Volume 13 Issue 2
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2013  >  13(2): 60-65
Next Previous
LIU Xi-bin, MA Jian, HAO Ru-ru, SONG Qing-song. Design of regenerative braking energy feedback system for ultracapacitor heavy-duty tractor[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 60-65. doi: 10.19818/j.cnki.1671-1637.2013.02.009
Citation: LIU Xi-bin, MA Jian, HAO Ru-ru, SONG Qing-song. Design of regenerative braking energy feedback system for ultracapacitor heavy-duty tractor[J]. Journal of Traffic and Transportation Engineering, 2013, 13(2): 60-65. doi: 10.19818/j.cnki.1671-1637.2013.02.009
shu

Design of regenerative braking energy feedback system for ultracapacitor heavy-duty tractor

doi: 10.19818/j.cnki.1671-1637.2013.02.009
  • 1.

    School of Automobile, Chang'an University, Xi'an 710064, Shaanxi, China

  • 2.

    Shaanxi Automobile Group Co., Ltd., Xi'an 710043, Shaanxi, China

  • 3.

    School of Information Engineering, Chang'an University, Xi'an 710064, Shaanxi, China

More Information
  • Author Bio:

    LIU Xi-bin(1963-), male, senior engineer, doctoral student, +86-29-83388856, liuxibin@sxqc.com

    MA Jian(1957-), male, professor, PhD, +86-29-82334725, majian@chd.edu.cn

  • Received Date: 2012-12-12
  • Publish Date: 2013-04-25
    Abstract
  • In view of regenerative braking energy feedback problem for electric vehicle(EV), based on the SX4186EV prototype of ultracapacitor pure-electric heavy-duty tractor of Shaanxi Automobile Group Co., Ltd., a hybrid braking system was proposed. the system was made up of two independent subsystems, including energy recovery braking subsystem and double-loop air braking subsystem. Based on braking intensity and real load, a rule-based braking force allocation strategy for the subsystems was put forward. A road experiment under the actual running condition at Shanghai Dock was carried out to test the braking energy recovery efficiency of the system. Experimental result shows that the braking energy recovery efficiencies under full-loaded running condition and unloaded running condition are 14.534% and 55.617% respectively, and the average is 35.076%. The efficiencies of electric vehicles powered with lead-acid and lithium batteries are usually about 10%, so the ultracapacitor heavy-duty tractor has higher braking energy recovery efficiency.

     

    • FullText(HTML)
  • loading
    • References(18)
  • [1]
    CHAN C C. The state of the art of electric, hybrid, and fuel cell vehicles[J]. Proceedings of the IEEE, 2007, 95(4): 704-718. doi: 10.1109/JPROC.2007.892489
    [2]
    KELLY K, EUDY L. Field operations program—overview of advanced technology transportation[R]. Golden: National Renewable Energy Laboratory, 2000.
    [3]
    ZHANG Xin, LIU Li, YU Hai-sheng. Simulation for regenerative characteristics of hybrid electric vehicle braking system[J]. China Journal of Highway and Transport, 2006, 19(3): 111-116. (in Chinese). doi: 10.3321/j.issn:1001-7372.2006.03.021
    [4]
    WU Zhi-wei, ZHANG Jian-long, WU Hong-jie, et al. Efficiency analysis of hybrid energy storage system in light electric vehicles[J]. Journal of Shanghai Jiaotong University, 2012, 46(8): 1304-1309. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SHJT201208021.htm
    [5]
    DENG Yuan-wang, GONG Jin-ke, WANG Yao-nan. Energy optimization and simulation of HEV using mild hybrid control strategy[J]. China Journal of Highway and Transport, 2008, 21(6): 114-120. (in Chinese). doi: 10.3321/j.issn:1001-7372.2008.06.019
    [6]
    LAM L T, LOUEY R. Development of ultra-battery for hybrid-electric vehicle applications[J]. Journal of Power Sources, 2006, 158(2): 1140-1148. doi: 10.1016/j.jpowsour.2006.03.022
    [7]
    YOO H J, SUL S K, PARK Y, et al. System integration and power-flow management for a series hybrid electric vehicle using supercapacitors and batteries[J]. IEEE Transactions on Industry Applications, 2008, 44(1): 108-114. doi: 10.1109/TIA.2007.912749
    [8]
    JIAN Xiao-ping, ZHANG Wei-gang. Centralized/distributetd detecting method of battery parameters in electric vehicle[J]. Journal of Chang'an University: Natural Science Edition, 2007, 27(5): 103-106. (in Chinese). doi: 10.3321/j.issn:1671-8879.2007.05.023
    [9]
    ZHANG Jie-xin, CHENG Bo, ZHOU Yan-lu, et al. New battery modeling analysis for electric vehicle[J]. Journal of Chang'an University: Natural Science Edition, 2009, 29(5): 112-115. (in Chinese). doi: 10.3969/j.issn.1671-8879.2009.05.023
    [10]
    PHATIPHAT T, SETPHANE R, BERNARD D. Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications[J]. Journal of Power Sources, 2009, 193(1): 376-385. doi: 10.1016/j.jpowsour.2008.12.120
    [11]
    YE Min, AN Qiang, CHENG Bo, et al. Simulation on energy recovery for main and auxiliary battery of electric vehicles[J]. Journal of System Simulation, 2007, 29(23): 5434-5437. (in Chinese). doi: 10.3969/j.issn.1004-731X.2007.23.020
    [12]
    WANG Jun, XIONG Ran, YANG Zhen-qian. A study on the control strategy for brake energy regeneration system in pure electric buses[J]. Automotive Engineering, 2009, 31(10): 932-937. (in Chinese). doi: 10.3321/j.issn:1000-680X.2009.10.008
    [13]
    LI Yu-fang, LIN Yi, HE Hong-wen, et al. A study on control algorithm of regenerative braking for EV/HEV[J]. Automotive Engineering, 2007, 29(11): 1059-1062, 1073. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-QCGC200712008.htm
    [14]
    ZHANG Yi, YANG Lin, ZHU Jian-xin, et al. The control strategy of energy regeneration for electric vehicle[J]. Automotive Engineering, 2005, 27(1): 24-27. (in Chinese). doi: 10.3321/j.issn:1000-680X.2005.01.006
    [15]
    XU Liang-fei, HUA Jian-feng, BAO Lei, et al. Optimizaed strategy on equivalent hydrongen consumption for fuel cell hybrid electric bus[J]. China Journal of Highway and Transport, 2009, 22(1): 104-108. (in Chinese). doi: 10.3321/j.issn:1001-7372.2009.01.017
    [16]
    MORENO J, ORTUZAR M E, DIXON J W. Energy-management system for a hybrid electric vehicle using ultracapacitors and neural networks[J]. IEEE Transactions on Industrial Electronics, 2006, 53(2): 614-623. doi: 10.1109/TIE.2006.870880
    [17]
    AHN J K, JUNG K H, KIM D H, et al. Analysis of a regenerative braking system for hybrid electric vehicles using an electro-mechanical brake[J]. International Journal of Automotive Technology, 2009, 10(2): 229-234. doi: 10.1007/s12239-009-0027-z
    [18]
    LE MOIGNE P, ROMBAUT C, MUNERET X, et al. Energy gauge for lead-acid batteries in electric vehicles[J]. IEEE Transactions on Energy Conversion, 2000, 15(3): 354-360. doi: 10.1109/60.875503
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (860) PDF downloads(2183) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return