Paper
10 August 2023 Robust optimization of double-sided LCC compensation topology based on NSGAⅡ algorithm
Xiaolei Cui, Shaohua Du, Wanying Zhao, Xinyang Wang, Junjun Deng, Baohua Xu
Author Affiliations +
Proceedings Volume 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023); 127483S (2023) https://doi.org/10.1117/12.2689723
Event: 5th International Conference on Information Science, Electrical and Automation Engineering (ISEAE 2023), 2023, Wuhan, China
Abstract
In this paper, a compensation network parameter design method based on multi-objective optimization algorithm has been proposed to meet the robust requirements of the output characteristics of wireless power transfer (WPT) system under non-resonant conditions. The equivalent circuit mathematical model of WPT system under non-resonant condition is established, and the sensitivity of system output characteristics to different component parameters is analyzed. A compensatory topology parameter optimization method of double-sided LCC based on NSGAII algorithm is proposed, which effectively reduces the system output power fluctuation when multiple parameters fluctuate together, improves the output characteristics of the double-sided LCC WPT system, and enhances the robustness of the system output. Finally, the proposed method is validated by comparing the power variation before and after the system parameter optimization under the condition of multi-parameter combined fluctuation and the condition of sensitive parameter random fluctuation. It has lower power variation when component parameter fluctuates randomly and it improves the controllability of the system to a certain extent.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaolei Cui, Shaohua Du, Wanying Zhao, Xinyang Wang, Junjun Deng, and Baohua Xu "Robust optimization of double-sided LCC compensation topology based on NSGAⅡ algorithm", Proc. SPIE 12748, 5th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2023), 127483S (10 August 2023); https://doi.org/10.1117/12.2689723
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KEYWORDS
Design and modelling

Mathematical optimization

Monte Carlo methods

Californium

Capacitors

Computer simulations

Genetic algorithms

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