PHEV energy management strategy based on vehicle speed prediction
To balance the fuel efficiency and real-time performance of energy management strategies for plug-in hybrid vehicles,an energy management strategy based on vehicle speed prediction was designed.Firstly,a LSTM neural network vehicle speed prediction model was established to achieve accurate prediction of vehicle speed;secondly,under the model predictive control framework,a dynamic programming algorithm was used to optimize the motor torque distribution,and an energy management strategy based on vehicle speed prediction was established.The simulation results showed that this strategy has good real-time performance and reduces fuel consumption by 14.85%compared with the regular strategy.
energy managementspeed predictiondynamic programmingmodel predictive control
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