Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Reference :

    1. J. Ruan, P. Walker, N. Zhang, and G. Xu, “The Safety and Dynamic Performance of Blended Brake System on a Two-Speed DCT Based Battery Electric Vehicle,” SAE Int. J. Passeng. Cars - Mech. Syst., 2016, doi: 10.4271/2016-01-0468.
    2. X. Nian, F. Peng, and H. Zhang, “Regenerative braking system of electric vehicle driven by brushless DC motor,” IEEE Trans. Ind. Electron., 2014, doi: 10.1109/TIE.2014.2300059.
    3. M. Silva, A. P. Gonçalves, J. Marques, J. Sousa, and U. Nunes, “Modelling an electric vehicle powertrain on bench,” 2014, doi: 10.1109/VPPC.2014.7007104.
    4. G. Xu, W. Li, K. Xu, and Z. Song, “An intelligent regenerative braking strategy for electric vehicles,” Energies, 2011, doi: 10.3390/en4091461.
    5. J. Ko et al., “Development of regenerative braking co-operative control system for automatic transmission-based hybrid electric vehicle using electronic wedge brake,” 2014, doi: 10.1109/EVS.2013.6914740.
    6. C. Fiori, K. Ahn, and H. A. Rakha, “Powerbased electric vehicle energy consumption model: Model development and validation,” Appl. Energy, 2016, doi: 10.1016/j.apenergy.2016.01.097.
    7. X. Li, L. Xu, J. Hua, J. Li, and M. Ouyang, “Regenerative braking control strategy for fuel cell hybrid vehicles using fuzzy logic,” 2008.
    8. J. Zhang, X. Lu, J. Xue, and B. Li, “Regenerative braking system for series hybrid electric city bus,” 2007, doi: 10.3390/wevj2040363.

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