A neural network based SRM drive control strategy for regenerative braking in EV and HEV Conference Paper uri icon

abstract

  • The characteristics of the regenerative braking in EV and HEV are analyzed in this paper. A neural network based SRM drive control strategy is developed for satisfying the requirements of regenerative braking in EV and HEV when SRM is chosen as the power source of EV and HEV. The energy recovery efficiency of the proposed control strategy is also evaluated. 2001 IEEE.

name of conference

  • IEMDC 2001. IEEE International Electric Machines and Drives Conference (Cat. No.01EX485)

published proceedings

  • IEMDC 2001: IEEE INTERNATIONAL ELECTRIC MACHINES AND DRIVES CONFERENCE

author list (cited authors)

  • Gao, H. W., Gao, Y. M., & Ehsani, M.

citation count

  • 35

complete list of authors

  • Gao, HW||Gao, YM||Ehsani, M

publication date

  • January 2001