摘要：AbstractEnergy management has always been one of the important issues of hybrid electric vehicles. For energy management strategy, rational use of complex working condition information (such as driving conditions, road gradient, etc.) can further enhance the energy-saving potential of the vehicle. This paper takes a parallel hybrid electric vehicle as the research object, the energy management strategy is designed in the framework of model predictive control (MPC), and a driving condition prediction model based on BP neural network is proposed and used to select different weight factors for the proposed MPC controller. Finally, the effectiveness of the controller is verified by comparison with the strategy without considering condition information.
关键词：KeywordsHybrid Electric VehiclesDriving Condition PredictionEnergy Management StrategyModel Predictive Control
