Research On Parameter Matching And Regenerative Braking Control Strategy Of Pure Electric Vehicle Based On ADVISOR

Regenerative braking system,the development trend of the new generation braking technology of electric vehicles,can recover the energy in the process of deceleration and braking,and then apply it to the process of automobile starting and acceleration,which is conducive to reducing energy consumption and increasing the mileage of electric vehicles.And the braking force distribution strategy has a significant influence on the recovery of energy during the braking process of electric vehicle.Therefore,further study on this subject is an important way to improve the braking energy recovery.In this paper,the fuzzy logic controller is used to optimize the braking force distribution strategy,and the simulation is carried out in ADVISOR.The main contents of the research include the following aspects:(1)Read the references,in-depth understanding of domestic and foreign research hot spots and research status of electric vehicles is gained.Several key technologies for the development of modern electric vehicles are analyzed.(2)The main factors affecting the recovery of braking energy of electric vehicles are analyzed,and the layout of electric vehicles and the components parameters of the power system are designed.The vehicle simulation software ADVISOR is introduced and an electric vehicle model is established by using this software.The parameters of the component designed in this paper are verified and optimized.(3)Three typical braking force distribution strategies are analyzed in this paper.On the basis of ensuring the braking performance and braking safety,a braking force distribution strategy is formulated to maximize the energy recovery.The proportion of regenerative braking force to the total braking force of the front wheels is optimized by fuzzy logic controller.(4)In this paper,the brake control module in vehicle simulation software ADVISOR is redeveloped,and the brake control strategy developed in this paper is embedded.The control strategy of this paper and ADVISOR’s own control strategy are simulated and compared under different road cycling conditions.(5)Based on the simulation results,the control algorithm is continuously improved.Finally,the simulation results verify the effectiveness of the braking force distribution strategy in improving vehicle braking energy recovery.