Design And Optimization Of APU Control Strategy For Extended Range Electric Vehicles

With the rapid growth of automotive production and ownership,vehicle plays an increasingly important role in energy crisis and environmental pollution.Electric vehicles have the disadvantage of short mileage and high cost.Range-extender electric vehicle have the advantage of high fuel economy,low emissions and long mileage.Therefore,rangeextender electric vehicle have a better industrial prospects.In this paper,the engine multi-operating point control strategy is designed and the fuel economy and emission performance of the extended-range electric vehicle are improved by optimizing the operation trajectory of APU operating point switching process.Firstly,The parameters of engine,generator and drive motor are determined according to the requirements of power performance of the designed vehicle.Secondly,the common electric vehicle Control strategy are compared and the engine multiple operating point control strategy is designed for the EREV.Then,based on Cruise,a forward simulation model of the extended-range electric car is established.Simulink is used to build the engine multi-operating point control strategy model.For the APU mode switching process,An APU trajectory optimization control strategy is proposed.The trajectory of engine and engine is optimized by genetic algorithm,and then the operation trajectory of an APU system with optimal efficiency and emission is determined.Finally,two motor are used to build a dual-motor-to-drag test platform,which simulates the power generation and electric mode of the generator respectively,and measures the current change on the DC bus side to verify the control strategy.The experimental results show that the control strategy in this paper has some improvement in fuel economy and emission.