Drive Path Optimization for Electric Vehicles Using Particle Swarm Optimization

George Onoja Idoko
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Abstract

This paper presents a viable solution to range anxiety experienced by drivers of electric cars. It describes and shows the application of metaheuristics in pathfinding optimization. Particle swarm optimization, which is a metaheuristic optimization method, is used to optimize a travel path for electric vehicles between Bucharest and Cluj-Napoca. The travel path links the driver to the electric vehicle charging stations on their path.
基于粒子群算法的电动汽车驱动路径优化
本文提出了一种可行的解决电动汽车驾驶者里程焦虑的方法。描述并展示了元启发式算法在寻路优化中的应用。将粒子群算法作为一种元启发式优化方法,对布加勒斯特至克卢日纳波卡之间的电动汽车行驶路径进行了优化。行驶路径将司机与沿途的电动汽车充电站连接起来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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