Study On Parameters Design And Control Strategy For Powertrain System Of Extented-Range Electric Vehicle

As the rapid development of automobile industry and growth of vehicle population,resources and environment are facing tough challenges in our country. Electric vehicles (EVs)seem to be an important way to protect our energy security and transform economy to aLow-Carbon Economy. However, the challenges that remain for modern EVs are limitationsin driving distance, system costs, short battery lifespan and limited customer benefits. As anElectric Vehicle which can extend range, Extended-Range Electric Vehicles are the ElectricVehicle product which is most likely to be industrialization and enter the common family inthis phase. So Extended-Range Electric Vehicles have been the focus research anddevelopment products at the present time.The purpose of this paper is to develop the Extended-Range Electric Vehicle on thebasis of a collaborative project-‘Development of Extended-Range Electric Vehiclecontroller’. According to performance requirement of the vehicle, principle researches havebeen offered on the parameters matching of the power-train and main components. Controlstrategies are mainly discussed. And the results of parameter match and control strategies aresimulated on ADVISOR with simulation platform of Extended-Range Electric Vehicle.Besides, control strategies are optimized with the objective functions of minimizing energyloss. The main contents are as follows:1. Build the simulation model and simulation platform of Extended-Range ElectricVehicle. The structure of Extended-Range Electric Vehicle is analyzed. Based on structureand control rules of the vehicle, the simulation model is built. And the model is embedded inthe simulation platform.2. Parameter matching of Extended-Range Electric Vehicle. The method of parametermatch is introduced. According to performance targets and structure characteristics of thevehicle, some important parameters are decided, such as motor power, engine power, battery capacity and so on.3. The research of vehicle control strategies. According to the structure of vehiclecontrol system and results of parameter match, the fuction of vehicle control system isdefined. Based on that, control modes of power-train system, multi points control strategy ofrange extender and motor control strategy are built. Finally, in order to verify the correctnessof parameter match and control strategy, the vehicle is simulated and analyzed on the basisof ADVISOR.4. Optimization of vehicle control strategies. Non-dominated Sorting Genetic Algorithm(NSGA-II) is used in the optimization design, with the objective functions of minimizingenergy loss. During the optimization process, simulation software-ADVISOR is used toanalyze the vehicle performance. The simulation results show that vehicle efficiency isimproved effectively and the energy loss decreases 6.63% without the decrease ofacceleration performance. Besides, the paper builds the test bench for Extended-RangeElectric Vehicle, where the vehicle performance and feasibility of control strategies areverified.Principle researches have been offered on the parameters match and control strategiesof Extended-Range Electric Vehicle. Based on that, Genetic Algorithm is used in theoptimization design of control strategies, with the objective functions of minimizing energyloss. In a word, this paper gives reference to design and development of Extended-RangeElectric Vehicle.