Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Electrical and Computer Engineering

First Advisor's Name

Arif Sarwat

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Osama Mohammed

Second Advisor's Committee Title

committee member

Third Advisor's Name

Jean Andrian

Third Advisor's Committee Title

committee member

Fourth Advisor's Name

Nezih Pala

Fourth Advisor's Committee Title

committee member

Fifth Advisor's Name

Priyanka Alluri

Fifth Advisor's Committee Title

committee member

Keywords

Challenges of Inductive Electric Vehicle Charging Systems in both Stationary and Dynamic Modes

Date of Defense

11-9-2021

Abstract

Inductive power transfer as an emerging technology has become applicable in wide power ranges including Electric Vehicle, Electric Aircraft, wheelchair, cellphone, scooter and so on. Among them, inductive Electric Vehicle (EV) charging has gained great interest in the last decade due to many merits namely contactless technology, more convenience, full automotive charging process. However, inductive EV charging systems could bring about so many issues and concerns which are addressed in this dissertation. One of the critical challenges addressed in this dissertation is a virtual inertia based IPT controller to prevent the undesirable dynamics imposed by the EVs increasing number in the grid. Another adverse issue solved in this dissertation is detecting any metal object intrusions into the charging zone to the Inductive Power Transfer (IPT) systems before leading to heat generation on the metal or risk of fire.

Moreover, in this dissertation, a new self-controlled multi-power level IPT controller is developed that enables EV charging level regulation in a wide range of power; suitable for different applications from golf-cart charging system (light duty EV) to truck (heavy duty EV). The proposed controller has many merits including easy to be implemented, cons-effective, and the least complexities compared to conventional PWM methods. Additionally, in this dissertation, the online estimation of IPT parameters using primary measurement including coupling factor, battery current and battery voltage is introduced; the developed method can find immediate applications for the development of adaptive controllers for static and dynamic inductive charging systems. Finally, the last objective of this research is physics-based design optimization techniques for the magnetic structures of inductive EV charging systems for dynamic application (getting charged while in motion). New configuration of IPT transmitting couplers with objective of high-power density, low power loss, low cost and less electromagnetic emission are designed and developed in the lab.

Identifier

FIDC010420

ORCID

https://orcid.org/0000-0003-3062-6306

Previously Published In

https://ieeexplore.ieee.org/abstract/document/9234450

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