基于内部进化算法的FSAE赛车速比的优化评价

Evaluation of FSAE racing car transmission ratio optimization based on evolutionary algorithm

针对FSAE比赛,提出了一种赛车的仿真优化方法以缩短赛车设计周期,并得到赛车最佳传动速比。利用ADVISOR代码的开放性,针对FSAE赛事的比赛项目对ADVISOR自带的整车模型进行了二次再开发,使其仿真结果直接反映比赛项目成绩,提高了赛车整车设计的目标性。同时结合GATBX遗传工具箱程序的开放性,采用内部罚函数法对FSAE赛车的性能进行了优化,并得到优化参数。结果表明,优化后的动力系统可以明显提高赛车的比赛成绩。

This paper puts forward a kind of racing simulation optimization method for FSAE competition game to shorten the design cycle of the car, and get the best car transmission ratio. The vehicle model is to be redeveloped using the open source code feature of ADVISOR, which make its simulation results directly re..spond to racing score and improve the objectives of the vehicle design of the racing car. The racing car per- formance is optimized and acquires the optimized parameters through the established ADVISOR model combined with genetic algorithm toolbox by Interior Penalty Rule. By comparing the results of the optimized and non-optimized racing car, it reaches a conclusion that the optimized parameters of power system can significantly increase the power performance of the car.