Maximizing Efficiency of Hybrid Compensated Inductive Power Transfer (IPT) Systems Under Load and Coupling Variations

Hybrid compensated inductive power transfer (IPT) systems offer high tolerance to pad misalignments, but achieving maximum efficiency with conventional control strategies still remains challenging, especially under significant variations in mutual inductance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula>) and output power (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula>). This article, therefore, proposes an optimal control strategy, based on all four variables, to maximize the efficiency of hybrid IPT systems regardless of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula> variations. Maximum efficiency is realized by meeting optimal conditions, and it involves maximizing the ac–ac efficiency through impedance matching and minimizing converter switching losses through zero-voltage switching. As hybrid IPT systems are complex in nature, these optimal conditions cannot be determined using conventional analytical methods. Hence, this article presents a novel two-step strategy that first numerically derives the optimal conditions and then determines the optimal variables using a numerical algorithm. The proposed numerical strategy is highly versatile, as it avoids cumbersome analytical derivations, overcomes the challenges of high nonlinearity and, more importantly, is applicable to IPT systems with any compensation topologies. The proposed strategy is experimentally validated using a 3-kW hybrid compensated prototype IPT system, benchmarking against traditional control strategies, and results are presented to demonstrate how higher efficiency can be achieved compared to traditional strategies under variations in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula>, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula>, and output–input dc voltage ratios.

Authors

Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Published
2024-11-19
DOI
https://doi.org/10.1109/jestie.2024.3502194
Citations
1
Primary Topic
Wireless Power Transfer Systems
Type
article
Field-Weighted Citation Impact
0.21
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maximizing Efficiency of Hybrid Compensated Inductive Power Transfer (IPT) Systems Under Load and Coupling Variations

Udaya K. Madawala, Weihao Dong
1 citations
IEEE Journal of Emerging and Selected Topics in Industrial Electronics
Wireless Power Transfer Systems
0.21
article

Maximizing Efficiency of Hybrid Compensated Inductive Power Transfer (IPT) Systems Under Load and Coupling Variations

Udaya K. Madawala, Weihao Dong
article en
1 citations

Abstract

Hybrid compensated inductive power transfer (IPT) systems offer high tolerance to pad misalignments, but achieving maximum efficiency with conventional control strategies still remains challenging, especially under significant variations in mutual inductance (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula>) and output power (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula>). This article, therefore, proposes an optimal control strategy, based on all four variables, to maximize the efficiency of hybrid IPT systems regardless of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula> and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula> variations. Maximum efficiency is realized by meeting optimal conditions, and it involves maximizing the ac–ac efficiency through impedance matching and minimizing converter switching losses through zero-voltage switching. As hybrid IPT systems are complex in nature, these optimal conditions cannot be determined using conventional analytical methods. Hence, this article presents a novel two-step strategy that first numerically derives the optimal conditions and then determines the optimal variables using a numerical algorithm. The proposed numerical strategy is highly versatile, as it avoids cumbersome analytical derivations, overcomes the challenges of high nonlinearity and, more importantly, is applicable to IPT systems with any compensation topologies. The proposed strategy is experimentally validated using a 3-kW hybrid compensated prototype IPT system, benchmarking against traditional control strategies, and results are presented to demonstrate how higher efficiency can be achieved compared to traditional strategies under variations in <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula>, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">${{P}_{\text{out}}}$</tex-math></inline-formula>, and output–input dc voltage ratios.

IEEE Journal of Emerging and Selected Topics in Industrial ElectronicsVol. 6(1)
Affordable and clean energy
Openalex Percentile: Top 46%
Wireless Power Transfer Systems
0.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.