Artificial Intelligence Based Optimal Design of Bi-directional Capacitor-Inductor-Inductor-Capacitor Converter for Electric Vehicle Applications

Artificial intelligence (AI) based converter design is a model that greatly reduces the complexity of manual calculations, accelerates the design process with reduced loss, and achieves high efficiency. The optimized design significantly decreases

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Publication Details

Journal
International Journal of Technology
Published
2025-05-28
DOI
https://doi.org/10.14716/ijtech.v16i3.7486
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence Based Optimal Design of Bi-directional Capacitor-Inductor-Inductor-Capacitor Converter for Electric Vehicle Applications

W. Razia Sultana, M. Rajalakshmi
International Journal of Technology
Electric Motor Design and Analysis
article

Artificial Intelligence Based Optimal Design of Bi-directional Capacitor-Inductor-Inductor-Capacitor Converter for Electric Vehicle Applications

W. Razia Sultana, M. Rajalakshmi
article en

Abstract

Artificial intelligence (AI) based converter design is a model that greatly reduces the complexity of manual calculations, accelerates the design process with reduced loss, and achieves high efficiency. The optimized design significantly decreases

International Journal of TechnologyVol. 16(3)
Affordable and clean energy
Openalex Percentile: Top 90%
Electric Motor Design and Analysis
DOIOpen Access PDFOpenAlex
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Artificial Intelligence Based Optimal Design of Bi-directional Capacitor-Inductor-Inductor-Capacitor Converter for Electric Vehicle Applications — W. Razia Sultana, M. Rajalakshmi · International Journal of Technology (2025) | TGRS Research Map | TGRS