Optimal Charging Strategies for Electric Vehicle Fleets

Master thesis (2022)

Authors

A. Narasimhan Mechanical Engineering

Contributors

S. Grammatico Team Bart De Schutter - Mechanical, Maritime and Materials Engineering (supervisor 1)
P. Mohajerin Esfahani Team Peyman Mohajerin Esfahani - Mechanical, Maritime and Materials Engineering (supervisor 2)
W. Ananduta Team Sergio Grammatico - Mechanical, Maritime and Materials Engineering (coach)
Faculty
Mechanical Engineering
Copyright: © 2022 Adithya Narasimhan
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Published Date

29-11-2022

Language

English

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Faculty

Mechanical Engineering

Abstract

Electric vehicles are a fast-growing market in the automotive sector. In addition, the widespread use of renewable energy to power electric vehicles makes them sustainable, with considerably low greenhouse gas emissions. As a result, service providers are switching to fleets of electric vehicles to promote environmental sustainability. However, unlike conventional vehicles, EVs require unique infrastructure to charge them. This leads to some technical and economic challenges. Therefore, intelligent charging strategies are needed to charge EV fleets optimally.

The thesis primarily focuses on minimizing the energy and battery degradation costs for a fleet operator using different charging strategies. To accomplish this objective, a joint optimization technique is used to solve the problem. The method used is an optimal exchange problem that works by clearing market constraints. Specifically, an ADMM-based distributed charging problem is used for charging the EV fleet. The algorithm is implemented for different charger power levels for the different strategies to analyze the difference in energy and battery degradation costs. Furthermore, a variable charger allocation method is proposed to charge the EV fleet.