A 10.4-kW High-Power-Transfer-Density Multi-MHz Capacitive Wireless Power Transfer System for EV Charging Utilizing Stacked-Inverter Stacked-Rectifier Architecture

This paper introduces a high-frequency capacitive wireless power transfer (WPT) system suitable for high-power electric vehicle (EV) charging. The system uses a stacked inverter and stacked rectifier architecture, where multiple high-frequency inverters and rectifiers can be paralleled using transformers with a parallel-in series-out and series-in parallel-out configuration, respectively, thereby increasing the power transfer capability of a capacitive WPT system. Furthermore, to increase the power handling capacity of each inverter and minimize the number of parallel inverters required, a novel symmetric layout to directly parallel two gallium nitride (GaN) transistors in a full-bridge inverter at multi-MHz frequencies using six-layer printed circuit board is proposed. Experimental validation shows the proposed inverter design handles nearly twice the output current of a single GaN transistor-based inverter, supporting up to 4 kW per inverter. Finally, a 6.78-MHz 12-cm air-gap 10-kW scale capacitive WPT system prototype utilizing the proposed power scaling approaches is designed, built and tested. This system achieves record-breaking performance for a capacitive EV charging system, transferring 10.4 kW at a peak efficiency of 85.3%, corresponding to a power transfer density of 136.8 kW/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>.

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Publication Details

Published
2025-03-16
DOI
https://doi.org/10.1109/apec48143.2025.10977093
Citations
3
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
2.19

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article

A 10.4-kW High-Power-Transfer-Density Multi-MHz Capacitive Wireless Power Transfer System for EV Charging Utilizing Stacked-Inverter Stacked-Rectifier Architecture

Dheeraj Etta, M.A. Domínguez, Khurram K. Afridi, Sounak Maji et al.
3 citations
Wireless Power Transfer Systems
2.19
article

A 10.4-kW High-Power-Transfer-Density Multi-MHz Capacitive Wireless Power Transfer System for EV Charging Utilizing Stacked-Inverter Stacked-Rectifier Architecture

Dheeraj Etta, M.A. Domínguez, Khurram K. Afridi, Sounak Maji, Syed Saeed Rashid
article en
3 citations

Abstract

This paper introduces a high-frequency capacitive wireless power transfer (WPT) system suitable for high-power electric vehicle (EV) charging. The system uses a stacked inverter and stacked rectifier architecture, where multiple high-frequency inverters and rectifiers can be paralleled using transformers with a parallel-in series-out and series-in parallel-out configuration, respectively, thereby increasing the power transfer capability of a capacitive WPT system. Furthermore, to increase the power handling capacity of each inverter and minimize the number of parallel inverters required, a novel symmetric layout to directly parallel two gallium nitride (GaN) transistors in a full-bridge inverter at multi-MHz frequencies using six-layer printed circuit board is proposed. Experimental validation shows the proposed inverter design handles nearly twice the output current of a single GaN transistor-based inverter, supporting up to 4 kW per inverter. Finally, a 6.78-MHz 12-cm air-gap 10-kW scale capacitive WPT system prototype utilizing the proposed power scaling approaches is designed, built and tested. This system achieves record-breaking performance for a capacitive EV charging system, transferring 10.4 kW at a peak efficiency of 85.3%, corresponding to a power transfer density of 136.8 kW/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>.

Cornell University (US)
U.S. Department of Energy
Affordable and clean energy
Openalex Percentile: Top 12%
Wireless Power Transfer Systems
2.19
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A 10.4-kW High-Power-Transfer-Density Multi-MHz Capacitive Wireless Power Transfer System for EV Charging Utilizing Stacked-Inverter Stacked-Rectifier Architecture — Dheeraj Etta, M.A. Domínguez, et al. · (2025) | TGRS Research Map | TGRS