Optimal Charging Strategies for Electric Vehicle Fleets

Optimal Charging Strategies for Electric Vehicle Fleets

Narasimhan, Adithya (TU Delft Mechanical, Maritime and Materials Engineering)

Grammatico, S. (mentor)
Mohajerin Esfahani, P. (graduation committee)
Ananduta, W. (graduation committee)

Delft University of Technology

Mechanical Engineering | Systems and Control

2022-11-29

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.

Fleet Charging
Battery degradation
ADMM
Distributed Control
Fleet operators

http://resolver.tudelft.nl/uuid:bc365be9-3b79-4018-a096-b6323de95006

Student theses

master thesis

© 2022 Adithya Narasimhan