2002 · 48 citations · 9 references
EngineeringAutomotive EngineeringElectrical EngineeringElectric Vehicle EngineeringElectric Vehicle TechnologyPowertrain EngineeringElectric Brake SystemsElectric Motor Drive SystemsElectric Traction MotorsElectric Vehicle ElectronicsPower Electronics For Electric VehiclesRegenerative Braking SystemsDrive Control SystemsElectric Vehicle BrakingEnergy RecoveryEnergy Recovery EfficiencyNeural Network ControlNeural Network ModelingRecovery EfficiencyRegenerative Braking Control
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.
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