Optimal Installation of the Power Transmitters in the Dynamic Wireless Charging for Electric Vehicles in a Multipath Network with the Round-Trip Case

Elbaz, Hassane; Alaoui, Ahmed Elhilali

doi:10.1007/s13177-021-00270-5

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…In 2022, Elbaz et al [20] put forth a model to find the best spots to install wireless charging stations for EVs and determine the number of charging points at each location for the Round-Trip scenario. Meanwhile, Bourzik et al [21] investigated the issue of optimal locations for wireless charging infrastructure for heterogeneous battery EVs on highways with a single path.…”

Section: Introductionmentioning

confidence: 99%

Round-Trip Wireless Charging Infrastructure for Heterogeneous Electric Vehicles on Highways: Modelling and Optimization

Bourzik¹,

Elbaz²,

Yousra³

et al. 2023

WEVJ

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In this paper, we propose a new approach to dynamic wireless charging that allows electric vehicles to charge wirelessly while in motion in both lanes on highways. The challenge is to locate the charging infrastructure on a highway between origin O and destination S (round trip) with heterogeneous battery vehicles, where each type of vehicle requires its allocation of charging segments on the road. We aim to ensure that each type of vehicle can complete a round trip without running out of battery charge while minimizing the number of charging segments and inverters on the road by studying both lanes simultaneously. We model the problem mathematically and validate it using a CPLEX optimizer for limited instances. Finally, we solve the problem using a hybrid approach that combines genetic algorithms and local search techniques to balance diversification and intensification. We have significantly improved the results found in the literature by reducing the number of inverters, which are expensive components in the charging infrastructure. Our approach takes advantage of utilizing a single inverter for both lanes of the highway, leading to cost savings and improved efficiency.

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Section: Introductionmentioning

confidence: 99%