Zhang Hongwei, Zhang Yidu, Zhao Xiaoci, et al. Key techniques in simulation of machining distortion for aeronautical monolithic component[J]. Journal of Beijing University of Aeronautics and Astronautics, 2008, 34(02): 239-243. (in Chinese)
Citation: Liu Lijun, Ji Fenzhu, Yang Shichun, et al. Control strategy for electro-mechanical braking based on curves of ECE regulations and ideal braking force[J]. Journal of Beijing University of Aeronautics and Astronautics, 2013, (1): 138-142. (in Chinese)

Control strategy for electro-mechanical braking based on curves of ECE regulations and ideal braking force

  • Received Date: 20 Sep 2011
  • Publish Date: 31 Jan 2013
  • The braking system of electric vehicle with regenerative braking is different from friction braking system of conventional fuel vehicle. Regenerative braking system makes braking stability of electric vehicles change when it recovers braking energy of vehicles. The improvement of braking energy recovery ration was restricted by the braking stability under the precondition of safe braking distance. Aiming at the electro-mechanical hybrid braking system composed of electric braking and conventional friction braking, the calculation models of electric braking force, electric braking torque and battery charging power were established. In view of the motor torque characteristics and battery charging power limit, three kinds of control strategies for electro-mechanical hybrid braking were designed for recovering the maximal braking energy. The baking energy recovery ration, state of charge and driving range in pure electric mode were calculated and analyzed by embedding simulation module into the ADVISOR. The calculation results show that the curves of I and economic commission of europe (ECE) regulations boundary are not ideal curves of braking force distribution; the curve OABCD is more feasible; the braking energy recovery ratio should be reached 59.56% by OABCD; and the state of charge changes very little; it decreases only by 4.29%.The test data indicates that the driving range can be increased by energy callback.

     

  • [1]
    Walker A M,Lampérthm U,Wilkins S.On friction braking demand with regenerative braking.SAE 2002-01-2581,2002
    [2]
    Ji Fenzhu,Liu Lijun.Study on braking stability of electro-mechanicalhybrid braking system in electric vehicles based on ECE regulation//CDCIEM.United States:IEEE,2011:1358-1362
    [3]
    Cikanek S R,Baileyk E.RegenerativeBrakingSystem fora hybrid electric vehicle//Proceedings of the American Control Conference. :IEEE,2002:3129-3134
    [4]
    郭金刚,王军平,曹秉刚.电动车最大化能量回收制动力分配策略研究[J].西安交通大学学报,2008,42(5):607-611
    Guo Jingang,Wang Junping,Cao Binggang.Brake-force distribution strategy for electric vehicle based on maximum energy recovery[J].Journal of Xi-an Jiaotong University,2008,42(5):607-611(in Chinese)
    [5]
    赵国柱.电动汽车再生制动稳定性研究 .南京:南京航空航天大学能源与动力学院,2006
    Zhao Guozhu.Study onbraking stability of regenerative braking system for electric vehicles.Nanjing:College of Fnergy and Power Engineering,Nanjing University of Aeronautics and Astronautics,2006(in Chinese)
    [6]
    余志生.汽车理论[M].北京:机械工业出版社,1999:21-24
    Yu Zhisheng.Optimal design of braking force distribution in axis for car [M].Beijing:China Machine Press,1999:21-24(in Chinese)
    [7]
    舒红,吴建生.轿车轴间制动力分配优化设计[J].汽车研究与开发,1999,2(2):23-25,31
    Shu Hong,Wu Jiansheng.Optimal design of braking force distribution in axis for car [J].Automobile Research & Development,1999,2(2):23-25,31(in Chinese)
    [8]
    Chul K S,Hi H W.Fast-charging of a lead-acid cell:effect of rest period and depolarization pulse[J].Journal of Power Sources,2000,89(1):93-101
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