An efficient optimization algorithm for electric vehicle routing problem

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Date

2023

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John Wiley and Sons Inc

Abstract

There has been a steady increase in the prevalence of electric vehicles (EVs) (electric cars) in the transportation industry. The limited range of EVs and the lack of charging facilities make it harder to gain widespread adoption of the EV service. Several optimisation algorithms for EV routes have not yet resolved the problems of trip time and travel cost. The study provides a Bat optimisation technique to reduce trip time and costs while taking into account customer service requests and EV charging schedules. Taking into account battery capacity, charging duration, and delivery/pickup needs, the suggested method may determine the optimal path to supercharger stations. To demonstrate its effectiveness, it is compared to other state-of-the-art algorithms across a variety of benchmark cases. © 2023 The Authors. IET Power Electronics published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.

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Keywords

Charging (batteries), Optimization, Routing algorithms, Charging facilities, Efficient optimisation, Electric cars, Electric vehicle charging, Optimization algorithms, Time cost, Transportation industry, Trip time, Vehicle Routing Problems, Vehicle service, Electric vehicles

Citation

IET Power Electronics, 2023, , , pp. -

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