Research On Energy Optimization Management Strategy Of Extended-range Electric Vehicles

The environmental pollution and energy shortages have been becoming increasingly serious,which is forced the industry to find new sources of energy for solving the current crisis.Electric vehicle can alleviate the energy crisis as well as environmental pollutions.Because of the lower energy density of battery,pure electric vehicle are limited used,but the Extended-Range Electric Vehicle makes up for the short mileage of pure electric vehicles which has better fuel economy and emission and is the best model for the transition from the traditional vehicle to the pure electric vehicle.Matching the parameters of the power system,the design of the test bench and test of calibration,the modeling of the vehicle and the verification of the model are finished,it focus on the steps as follows :Firstly,based on the average daily mileage,vehicle dynamic performance index and the structure and working principle of the power system,the key parts of the power system are selected and matched.Secondly,using selection of matching and modeling,the simulation model is established by combining experimental modeling and theoretical modeling approach.Thirdly,analyzing of the functional requirements of the test bench,combining with the design requirements and power system matching,the Extended-Range module is established such as control module,power output module and some other modules.The various modules of the test bench,the vehicle controller and the whole test bench system are calibrated and tested.The whole test bench system is tested using the bench to simulate extended range electric vehicles under the condition of FTP-75.Power follower strategy is programmed into the MCU.In order to verify the control strategy,checking operating parameters of the engine and generator is finished under the same conditions.Finally,the controller of the simulation model is built,and the correctness of the model is verified by the experimental data of NEDC and FTP-75.In the MATLAB/SIMULINK environment,energy management strategy models is established based on thermostat,power following and fuzzy control.Based on the three different control strategies,the comprehensive fuel consumption and the change of battery SOC are analyzed through the simulation of the vehicle model.The test bench can test the motor and its controller,power train of electric vehicles,and the control strategy.This provides the basis for the design of the electric vehicle,and the model can be used to guide the design of the electric vehicle.