Hierarchical-Constraint Model Predictive Control for Multiobjective Optimization of WPT System

Existing control methods for wireless power transfer (WPT) systems struggle to achieve zero voltage switching (ZVS), output stability, and efficiency optimization at the same time. To address this problem, this letter proposes a hierarchicalconstraint model predictive control (HCMPC) method by structuring the control into prioritized layers. HCMPC can achieve ZVS, output regulation, and efficiency optimization simultaneously without using complex weighting factors. Experimental results illustrate that HCMPC delivers an output voltage error below 0.5% and efficiency above 90% over a wide load range from 30 to 80 Ω. Under load transients, the settling times are 12 ms and 15 ms, respectively. Meanwhile, the WPT system can ensure ZVS for all switches in the whole load range. The proposed approach provides a robust and scalable solution for WPT systems, broadening their practical deployment in electric vehicles and consumer electronics products.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Electronics
Published
2025-08-26
DOI
https://doi.org/10.1109/tpel.2025.3602951
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical-Constraint Model Predictive Control for Multiobjective Optimization of WPT System

Chi K. Tse, Hongxing Zheng, Zhixin Chen, Xian Zhang et al.
IEEE Transactions on Power Electronics
Advanced Control Systems Optimization
article

Hierarchical-Constraint Model Predictive Control for Multiobjective Optimization of WPT System

Chi K. Tse, Hongxing Zheng, Zhixin Chen, Xian Zhang, Fei Xu, Xiaoning Li LiXN
article en

Abstract

Existing control methods for wireless power transfer (WPT) systems struggle to achieve zero voltage switching (ZVS), output stability, and efficiency optimization at the same time. To address this problem, this letter proposes a hierarchicalconstraint model predictive control (HCMPC) method by structuring the control into prioritized layers. HCMPC can achieve ZVS, output regulation, and efficiency optimization simultaneously without using complex weighting factors. Experimental results illustrate that HCMPC delivers an output voltage error below 0.5% and efficiency above 90% over a wide load range from 30 to 80 Ω. Under load transients, the settling times are 12 ms and 15 ms, respectively. Meanwhile, the WPT system can ensure ZVS for all switches in the whole load range. The proposed approach provides a robust and scalable solution for WPT systems, broadening their practical deployment in electric vehicles and consumer electronics products.

IEEE Transactions on Power ElectronicsVol. 41(2)
City University of Hong Kong (HK), Hebei University of Technology (CN)
Openalex Percentile: Top 73%
Advanced Control Systems Optimization
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.