Research On Energy Management Optimization Method For Based On Running State Of Extended Range Electric Vehicle

Traditional fUel vehicles bring convenience to people,but also lead to the dual pressures of energy shortage and environmental pollution.The programmed electric vehicles,which have the advantages of both fuel engine vehicle mileage and pure electric vehicle driving cleanliness,have attracted much attention.The Extended Range Electric Vehicle(EREV)has two energy sources:power battery and extender,and can be charged by external power grid.It is a transitional vehicle before breaking through the bottleneck of power battery technology.In addition,the development of on-board navigation and intelligent transportation makes the energy management of electric vehicles more flexible and energy-saving potential.In this paper,the energy management strategy of EREV based on speed prediction is studied.The main research contents are as follows:Based on the automotive dynamics theory,the working characteristics and the working principle of the power system of the Extended Range Electric Vehicle,the selection and parameters of the relevant components of the power system are calculated with the constraints of the basic parameters and power performance of the vehicle;the performance simulation model of the vehicle is established on the platform of AVL Cruise software,including setting up the corresponding simulation model.Computing tasks;Simulink/Stateflow control strategy model and Cruise software were established for joint simulation,and European Cycle Conditions(NEDC)and Chinese Passenger Car Driving Conditions(CLTCP)were selected for simulation and analysis of energy consumption,acceleration time,maximum speed and maximum climbing gradient under constant power control strategy.The results show that the matched dynamic parameters can well meet the requirements of vehicle dynamic performance index and enduralce mileage.On the basis of the above research,an energy management method based on travel mileage and running state i5 eonstructed by using real-time traffie information.That is to say,according to the expected distance from the vehicle to the charging station and the charging status of the power battery,the starting and stopping time of tlie extender is deterninedrso that the charging status of the power battery is within the expected range when the vehicle reaches the charging station.The simulation results show that the selected strategy can make the SOC value of the Extended Range Electric Vehicle between 15%and 30%when it enters the charging point,and make full use of electric energy and fuel efficiency higher.