Study On Control Strategy Of Regenerative Braking For Electric Vehicles Based On ADVISOR

At present, the pure electric vehicle regenerative braking control strategy has a lot of kindsand about the braking force distribution method also have good or bad. For example, theregenerative braking control strategy of the electric vehicle simulation software ADVISOR2002uses the look-up table method to distribute regenerative braking force. This kind of allocationstrategy has direct relationship with speed, the faster the speed of the car, the greater theproportion regenerative braking; on the contrary, the slower the speed of the car, and the smallerproportion of regenerative braking. In the process of braking, due to the car’s speed is changing;therefore, this kind of allocation strategy has some limitations: Can not make full use of theregenerative braking of motor and the recovery of braking energy is limited and recoveryefficiency is also very low.This paper supported by Natural Science Basic Research Plan in Shaanxi Province ofChina Study of Anti-lock Braking System for Electric Vehicles (Program No.2014JM7280)and Xi’an Science Technology Bureau Development of Electromechanical Braking System forElectric Vehicles （Program No.CX12177-3）projects, in order to make the braking forcedistribution become more reasonable and to improve the braking energy recycling efficiency, thispaper puts forward the regenerative braking control strategy based on the fuzzy logic control.This strategy is designed on the basis of the braking control strategy of the electric vehiclesimulation software ADVISOR2002and builds the corresponding control strategy model. Thispaper uses the fuzzy logic control theory to design a fuzzy controller in order to replace theoriginal control strategy of the look-up table method for regenerative braking force distribution.Here, we introduce the ADVISOR2002electric vehicle simulation software in order toverify the effectiveness of regenerative braking control strategy designed in this paper. In thispaper, we embed the designed of the regenerative braking control strategy model in thesimulation software, and select three kinds of typical driving cycles, which is Japan road1015,the United States highway UDDS and European road EUDC to study on simulation. Bycomparing the simulation results with the original regenerative braking control strategy inADVISOR2002, we validate the regenerative braking control strategy is effective.