Date of Award:
12-2025
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Electrical and Computer Engineering
Committee Chair(s)
Regan A. Zane
Committee
Regan A. Zane
Committee
Dragan Maksimovic
Committee
Hongjie Wang
Committee
Nick Roberts
Committee
Don Cripps
Abstract
The transition to electric vehicles (EVs) is a critical step toward reducing greenhouse gas emissions and creating a cleaner, more sustainable transportation sector. However, many drivers — particularly those operating larger vehicles such as trucks and buses — face significant challenges, including limited driving range and lengthy charging times. High-power, fast-charging stations, which can rapidly replenish EV batteries, are therefore essential for mitigating these barriers and making electric transportation practical across all vehicle classes.
Despite the promise of electric vehicles, deploying high-power fast-charging stations presents significant challenges. They require large amounts of electricity, making them expensive to install, operate, and connect to the power grid. This research focuses on improving the core technology inside these charging stations: the systems that convert electricity from the grid into a form EVs can use.
This work introduces a new power converter design that can connect directly to the medium-voltage power grid. The design is more efficient and flexible, reducing both cost and complexity. The research also addresses key technical challenges to unlock the full potential of this system.
While the technology directly supports EV fast charging, its impact extends further. It can benefit other high-power applications, such as data centers, and the research contributes to the broader field of power electronics by addressing fundamental design and control challenges. These advances support the development of a more resilient, efficient, and intelligent electric infrastructure for a clean energy future.
Recommended Citation
Poddar, Sanat R., "Enhancing Grid Integration of High-Power Loads Through Modular Unfolding-Based Power Conversion With Decentralized Control" (2025). All Graduate Theses and Dissertations, Fall 2023 to Present. 654.
https://digitalcommons.usu.edu/etd2023/654
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