Research On Regenerative Braking Control Strategy Of Tandem Electric Vehicles

At a time when environmental problems are becoming more acute,car companies in various countries have increased their investment in electric vehicle research and set a timetable to stop the sale of conventional fuel vehicles in order to reduce harmful emissions.From the perspective of China's national strategy,vigorously developing electric vehicles can enable China's automobile industry to achieve the goal of "overtaking on the curve" and accelerate China's march towards a scientific and technological power.However,at present,electric cars are restricted by battery technology,and their driving range cannot be greatly improved.Therefore,regenerative braking technology,as an effective technology to improve the driving range,has become a research hotspot.Based on the serial regenerative braking system research project of Chengdu science and technology bureau(project no.2016-hm01-00325-sf),this paper focuses on the regenerative braking control strategy of electric vehicles.Firstly,the research status of regenerative braking technology at home and abroad is introduced,and the motor types commonly used in electric vehicles are compared.Then it analyzes the force condition of electric vehicle in detail.Combined with ECE regulations,f line group and ideal braking curve I,the region of braking force distribution for front and rear wheels is determined.Then this paper proposes a regenerative braking control strategy based on fuzzy control,which takes the motor speed,battery SOC and braking strength as input,and the proportion of regenerative braking power as output.In order to verify the rationality and feasibility of the control strategy designed in this paper,the Advisor software is selected as the simulation software of electric vehicle.Based on the existing vehicle model of Advisor,secondary development was carried out,and the motor,battery and control strategy models needed in this paper were built by MATLAB/SIMULINK and compared with the electric vehicle control strategy in the Advisor.At present,most electric cars are driven in suburbs,so this paper selects three kinds of working conditions for simulation,which are congestion road condition,CYC_NYCC;unblocked road condition,CYC_UDDS;and suburban road condition,CYC_WVUINTER.The simulation results show that the energy recovery efficiency of the regenerative braking control strategy designed in this paper is obviously better than the control strategy of the Advisor.