高效率节能车点火时刻的最优设计

Optimal Ignition Planning of High Energy-Efficient Car

针对高效率节能车点火时刻的最优设计问题,本文作者提出了节能车点火设计问题的目标函数和约束条件,并将所涉及的约束条件分为强约束条件和弱约束条件,易于选择惩罚项加权系数,并阐述了基于粒子群算法的最优点火时刻优化算法.仿真实验结果表明:在400m标准跑道总路程为2 000m的情况下,最优的点火次数为13次,同时也给出了具体的点火时刻、点火位置和危险的驾驶区域,从而起到了智能辅助驾驶的作用.

This paper addresses the problem on fire time of high energy-efficient car. the difficulty of designing objective function of ignition, the mathematical model of car was proposed and the ignition objective function with strong constraint condition conditions was analyzed. With the aid planning could be realized, which ar moment and the exact fire position in the valuable information to the driver of particle swarm optimization （PSO）, the e composed of the number of ignition, the whole driving process. Results of this who drives the high energy-efficient car. To reduce kinematics and weak optimal ignition the specific fire research provide