University of Illinois at Urbana-Champaign
Modeling and design of an LLC resonant converter for a wide voltage conversion ratio applications
Abstract
dc:descriptionLLC Resonant converters provide soft-switching capabilities enabling high switching frequencies and high efficiency. A low-quality factor design operating below resonant frequency is preferred for wide voltage-gain applications to reduce the required range of operating frequencies. Phase-shift modulation can be used in conjunction with frequency modulation to further narrow the operating frequency range. A first harmonic analysis-based approach has high inaccuracies in estimating capacitor voltage, inductor current, and voltage gain, which are critical parameters to design the converter and estimate the losses when phase-shift modulation is employed. This thesis presents a state-plane-based modeling framework to accurately analyze the converter when both frequency and phase-shift modulation are used. The proposed model is then used to highlight the power density versus efficiency trade-off obtained by utilizing phase shift as an additional control variable for an electric vehicle battery charging application. The accuracy of the model is verified by experiments on a 10kW SiC-based prototype. Two converters are designed using the trade-off curve, one employing only frequency modulation and the other using both frequency and phase-shift modulation. These two converters achieve the same efficiency over the constant current battery charging mode but, the addition of phase-shift modulation reduces the transformer’s size by 22% and its weight by 28%.
Degree
thesis:*- Name thesis:degree_name
- M.S.
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Electrical & Computer Engr
- Grantor
- University of Illinois at Urbana-Champaign
- Year dc:date
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Maheshwari, Anuj
- Contributors dc:contributor
-
- Banerjee, Arijit
Subjects
dc:subject × 5Rights
dc:rights- Statement dc:rights
-
- Copyright 2022 Anuj Maheshwari
- Language dc:language
- en, eng
Identifiers
dc:identifier.*- Handle dc:identifier
- https://hdl.handle.net/2142/117842