Research on demand distribution for electric taxi power switching using wireless charging lane configuration

To address the limitations of previous research in considering the effects of wireless charging lanes, this paper develops a model for setting wireless charging lanes, investigates the best setting scheme, and solves the model using a combined algorithm that combines the Frank-Wolfe algorithm and the enhanced particle swarm algorithm. The distribution of electric taxi power exchange demand based on the ideal configuration of wireless charging lanes is examined using the Monte Carlo simulation approach, using Haikou city center as an example. According to the findings, the number of electric taxi power exchange demands generally declines and undergoes a considerable change in spatial distribution following the installation of wireless charging lanes. In order to make the construction of electric cab exchange stations more reasonable, enhance user satisfaction and the convenience of electric cabs, and advance the development of clean energy transportation, this paper offers a scientific basis and decision support for the planning of electric cab exchange stations while taking into account the impact of wireless charging lanes on the distribution of exchange demand.