Simulation Research Of Pure Electric Racing Vehicle’s Regenerative Braking Ssystem

Electric vehicle is an effective way to solve the two world’s problems about energycrisis and environmental pollution, with characteristics of multiple disciplines and therapid development. Using the computer simulation technology in its initial development,we can not only effectively shorten development cycles and reduce development costs,but also improve the electric vehicle system optimization level. Advisor as the world’slargest user of electric vehicle simulation software to quickly analyze performancepower, economy and other vehicles, it has high-precision arithmetic and accuratesimulation results. However, it still has certain limitations in the application. Therefore,this paper is based on secondary development of Advisor commence the study.The topic of this paper comes from the Hefei University of Technology of "pureelectric Formula racing vehicle" and practical experience to participate in the4thFormula SAE. The paper analyzes the structure of a typical regenerative braking system,the principles and influencing factors at first. Then the paper build electric vehiclesbraking force distribution on the basis of fuel vehicle braking force distribution model,combined ECE braking regulations, in order to maximize recovery system dynamicenergy targets, the paper propose a kind of regenerative braking control strategy of reardriving electric racing vehicle. Then the paper introduce simulation software Advisorand analyze Advisor default simulation module of front driving vehicle, especially forthe vehicle module, wheel axle module and their sub-modules in detail. On the basis ofthese modules to the paper make changes and adjustments set up front and rear brakingcontrol module. Then the paper analyzes Advisor default regenerative braking controlstrategies and models to build a new regeneration braking control strategy module. Thenthese new modules are embedded in the Advisor top-level model to complete thesecondary development of rear driving electric racing vehicles. After selecting ECE,UDDS and NYCC driving cycle, the simulation analysis in the paper compare theregenerative braking control strategy which proposed in this paper with Advisor defaultregenerative braking control strategy with power battery SOC value and brake energyrecovery rate. Finally, the paper takes a real vehicle bench experiment about drivingdistance. So far from the simulation and the real vehicle experiment proved bothregenerative braking control strategy proposed in the paper is correct and effective. Thesimulation method adopted is reasonable.