Research on following control of electric vehicle based on energy-saving optimization
Taking electric vehicles(EV)as the research object,the energy consumption of the vehicles in the process of following other cars on the premise of completing the following task.By analyzing the force of electric vehicle on the road,an energy consumption model of EV is established,and a hierarchical control strategy based on genetic algorithm(GA)and maximum torque per ampere(MTPA)is proposed.In the upper layer,GA is adopted to solve the speed curve that minimizes the energy consumption of EV in different scenarios based on the energy consumption model.In the lower layer,model predictive control is used to track the speed curve,and the MTPA is used to optimize the motor consumption.A variety of different following scenarios are designed to simulate and compare the proposed strategy with traditional control strategies.The simulation results show that compared to traditional control strategies,the hierarchical control strategy can effectively reduce the energy consumption and driving costs of EV in various scenarios.
electric vehiclesenergy-saving controlhierarchical controlgenetic algorithmmaximum torque per ampere
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