Research On Coordinated Control Strategy Of Pure Electric Vehicle Composite Braking System Based On Driving Intention Recognition

Pure electric vehicle(EV)has become one of the main trends of automobile industry based on its advantages of energy saving,environmental protection and diversified utilization of energy.However,the development of EV is restricted by factors such as short driving range,short life of power battery and high cost.Regenerative braking technology of electric vehicle can recover braking energy and improve energy utilization efficiency.It is one of the main methods to increase the driving range of EV.Developing efficient regenerative braking system is the research focus of electric vehicle.The braking control strategy of EV has great influence on the braking energy recovery effect.This paper is based on the formulation of a coordinated control strategy of EV composite braking system based on driving Intention recognition.The goal of this strategy is to recover as much braking energy as possible,on the basis of ensuring braking safety and braking efficiency.Quantity.The main contents of this paper are as follows:(1)The structure of regenerative braking system for electric vehicle is introduced,and the working principle of regenerative braking system and the main factors affecting regenerative braking are analyzed.(2)The driver’s braking intention is classified,and the braking pedal opening and the change rate of the braking pedal opening are selected as the braking intention identification parameters,and the driver’s braking intention is identified by using the established fuzzy controller.(3)The working principle and characteristics of lithium iron phosphate power battery are analyzed,and a battery SOC estimation method based on the combination of ampere-time method and open-circuit voltage method is proposed.(4)The braking force distribution theory is studied,the common braking control strategies are analyzed,and the coordinated control strategy of EV composite braking system based on driving Intention recognition is formulated.Based on ADVISOR environment,the control strategy model proposed in this paper is built,and the simulation analysis is carried out under CYC_NEDC and CYC_UDDS cycle conditions.