Research On The Fuzzy Control Strategy Of PEV Based On Driving Intention Recognition

In order to solve the problem of the shortage of non renewable resources such as oil and the pollution of traditional fuel vehicles,it is necessary to develop PEV,but at present,the main reason to hinder its commercialization is the bottleneck of battery,motor and electronic control technology,and further research on electronic control technology is so far one of the best way to breakthrough the bottleneck.This paper uses the default pure electric vehicle and its control strategy of ADVISOR2002 as the researching object.In order to solve the problem that pure electric vehicle is difficult to meet the driver's acceleration intention and the SOC of the battery in braking energy recovery process is not considered in the deceleration process of drive cycle,this paper proposed a control strategy which is able to satisfied the requirement of drive cycle and the driver's driving intention and taking vehicle's operation state into account.The control strategy is able to optimize the energy distribution of the pure electric vehicle's control system based on the overall angle of the driver(driving intention)-vehicle(operating condition)-road(drive cycle)loop system.The default motor control strategy of pure electric vehicle in ADVISOR2002 was redeveloped,in the strategy,a fuzzy controller was developed by using fuzzy control algorithm which utilized the required motor speed change rate and the SOC state as the input,and the required torque compensation coefficient as the output,also the driver PID model is established to modify the coefficient by using the avaliable vehicle speed and cycle speed as the input.Then the fuzzy control algorithm is used to optimize the driver model and develop a driver fuzzy PID model,and the Matlab optimization toolbox is used to optimize the SOC fuzzy controller.A comparative simulation of those two control strategy was performed on the ADVISOR default pure electric vehicle model.The results showed that the control strategy of this paper can meet the requirements of drive cycle and the driver's intention and taking vehicle's operation state into account.