Design and Multi-Objective Optimization of a Ferrite-Less Wireless Power Transfer System for Electric Vehicles

Wireless Power Transfer (WPT) is becoming recognized as an effective method for charging Electric Vehicles (EVs), especially for its capacity to provide both fixed and dynamic charging. This paper presents an optimized ferrite-less WPT system design that overcomes technical limitations through an evolutionary algorithm. The absence of ferrites simplifies the design and lowers costs, but it also demands sophisticated optimization to achieve efficient power transfer. Key factors in the optimization process include power requirements, coil dimensions, and the spacing between the coils. A prototype operating at 400 W was tested in the lab, yielding an 83.12% DC-DC, and 92.6% WPT efficiency while the system is built for 3.7 kW. Additionally, a multi-objective optimization was conducted to produce a Pareto optimal front, enabling an analysis of trade-offs among various design parameters to arrive at the best possible compromises. This methodology shows the system's potential while also pointing toward areas for further improvement.

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Publication Details

Published
2024-12-04
DOI
https://doi.org/10.1109/spies63782.2024.10983071
Primary Topic
Wireless Power Transfer Systems
Type
article
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article

Design and Multi-Objective Optimization of a Ferrite-Less Wireless Power Transfer System for Electric Vehicles

Nasser Al-Saif, Jamal Al Sawalhi
Wireless Power Transfer Systems
article

Design and Multi-Objective Optimization of a Ferrite-Less Wireless Power Transfer System for Electric Vehicles

Nasser Al-Saif, Jamal Al Sawalhi
article en

Abstract

Wireless Power Transfer (WPT) is becoming recognized as an effective method for charging Electric Vehicles (EVs), especially for its capacity to provide both fixed and dynamic charging. This paper presents an optimized ferrite-less WPT system design that overcomes technical limitations through an evolutionary algorithm. The absence of ferrites simplifies the design and lowers costs, but it also demands sophisticated optimization to achieve efficient power transfer. Key factors in the optimization process include power requirements, coil dimensions, and the spacing between the coils. A prototype operating at 400 W was tested in the lab, yielding an 83.12% DC-DC, and 92.6% WPT efficiency while the system is built for 3.7 kW. Additionally, a multi-objective optimization was conducted to produce a Pareto optimal front, enabling an analysis of trade-offs among various design parameters to arrive at the best possible compromises. This methodology shows the system's potential while also pointing toward areas for further improvement.

Khalifa University of Science and Technology (AE)
Affordable and clean energy
Openalex Percentile: Top 72%
Wireless Power Transfer Systems
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