Study On Parameter Matching And Optimization Of Driving System And Control Strategy For Range-extended Electric Vehicles

Under the background of global energy shortage, environmental deterioration andabnormal climate, on one hand, tendency of people to drive is no less, more and morevehicles appear on the road; on the other hand, human beings must explore and researchnew driving systems, which are more economic, better in environmental protection andmore valuable to realize sustainable development compared with the traditional powersystem; moreover, with the increasingly stringent emission regulations, energyconservation and environmental protection has been the subject of current automotiveindustry development; research of new energy vehicles has been widely focused due tothe incomparable development value in the above aspects; the most ideal type of newenergy vehicles is pure electric vehicles, which have the limitation of battery technology,charging supporting facilities, of cost performance, etc. As instead, range-extendedelectric vehicles(reevs) have become research hotspot in a short period.By analyzing the research status of reevs at home and abroad, this paper proposes adriving system design scheme; then finish jobs of selection and parameter matching forthe major parts, such as engine, generator, drive motor, energy storage device andtransmission system according to the selected power system. On this basis, the basicworking mode, energy flow and control strategy are analyzed, and the forwardsimulation platform is built based on Matlab/simulink environment, the maincomponents contain range-extender, drive motor, power battery, final drive and so on;Then CRUISE software is chosen as the simulation validation platform, and buildmodels of the main parts similarly, which is integrated with control strategy for jointsimulation. Compared simulation results, the established forward simulation platform ofreevs has a certain accuracy, the driving system design scheme is correct in theory;indexes of the vehicle performance and fuel economy meet design requirements, whichproves the rationality of parameter matching design.In order to fully realize energy saving and consumption reducing, the paper finallyfocus on multi-objective optimization processing of main parameters of the vehicledriving control system. By choosing the appropriate objective function，building thecorrect constraint condition and determine the suitable optimization algorithm, theintegrated optimization system is established which is based on Matlab and Isight.Optimization results show that the economic performance of the vehicle is improvedunder the premise of meeting dynamic performance index, which illustrates the adopted optimization design method is effective and the design scheme of integratedoptimization system is reasonable.