Optimal Study On Parameter Matching And Energy For Extended-range Electric Vehicle

Extended-range electric vehicle as a kind of new energy vehicle,it can overcome the short driving range of a pure electric vehicle.Therefore,it is considered the best model for the transition from the traditional internal combustion engine vehicles to the electric vehicles.Researching the key technologies of extended-range vehicles is good for promoting the market process of new energy vehicle.In this paper,an extender-range electric bus is taken as the research object.Parameters matching are for power system,building vehicle model and child component model for the vehicle,focusing on energy management control strategy and its optimization based on rules,setting up the hardware in the loop simulation test platform to verify the designing strategy.Specific contents as follows:According to the structure of power system and connection of different components for extended-range electric bus,on the basis of prototype's vehicle parameters and performance,considering limited driving distance,selection and parameters matching of power system's main components is achieved for E-REV.Based on MATLAB/Simulink software,setting up models of main components for E-REV,then setting up the controller model,integrating child component models that have built with forward simulation,getting the vehicle integration model,providing simulation platform for the design and optimization of energy management control strategy.Doing research for the design and optimization of energy management control strategy.Dividing the vehicle operating mode according to different limited driving distance and APU work or not.Three kinds of energy management control strategy based on rules of extended-range electric bus are proposed,implementing the control strategy by Stateflow,after building vehicle control model including energy management control strategy and braking energy recovery control strategy,doing simulation test,verifying the energy management control strategy.Using NSGA-II algorithm with elite strategy to optimize the APU start-stop shortest duration,making the optimization objectives andvariables,with multi-objective optimization,the final results: APU start-stop shortest duration has effect on energy management control strategy,but should choose appropriate APU start-stop shortest duration,under the condition of avoiding frequent start and stop of engine,ensuring good fuel economy.Using hardware in the loop technology to build simulation platform,combined with dSPACE real-time simulation system,doing real-time closed simulation test of energy management control strategy for extended-range electric bus.As can be seen from test results: the proposed control strategy can control the vehicle running efficiently,energy management strategy also gets good verification.