Study On PowerSystem Matching And Parameter Optimization Of ISG Hybrid Electric Vehicle

With emission regulations increasingly stringent and the energy pressuregradually increase, for the current, energy saving and environmental protection isthe theme of the development of automobile industry, So it is imperious to seek fora new technology of saving energy, reducing the exhaust emission of automobileand the replaceable material. Hybrid Electric Vehicle integrates the advantages ofthe traditional cars and electric vehicles, which can be very good to meet therequirements of high efficiency and environmental protection, becomes an idealchoice to solve these existing problems at present. Therefore, the research anddevelopment on HEV become new hotspot in the field of current automobile.This paper chooses ISG type hybrid power system as it’s more mature andcosts less in the existing types of new energy vehicles, according to China’s HEVdevelopment status and manufacture cost. Based On the theoretical analysis aboutthe structure，the options of HEV power train Schedule,power train components andthe parameters designing method are discussed. On the basis of this configuration，this paper analyzes fundamental operating mode transitions of overall vehiclesystem and power distribution，and establishes reasonable control strategy on theflat roof of Simulink.Then, choose CRUISE as simulating platform and use it to establish vehicledynamic model and simulate associated with control strategy integrated by MatLabmodule.The simulation results show that the established power system model istheoretically correct, the economy and dynamic performance indexes of the vehiclecan meet all requirements and parameter matching is reasonable.Finally, putting forward a question about power train system multi-object andmulti-variable parameters optimization according to work points of hybrid electricvehicle. Taking accelerate time and fuel consumption for one hundred kilometers astarget and establish the corresponding constraints. This paper manages to use theoptimization software iSIGHT integrated CRUISE, power train parameters wereoptimized based on genetic algorithm. the simulation results show that theoptimization results enhance ISG hybrid electric vehicle’s fuel economy and power performance significantly, and optimization strategy discoursed in this paper iseffective.