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This paper introduces an intelligent wireless EV charging controller that utilizes Random Forest and XGBoost regression with NSGA-II optimization, achieving a peak efficiency of 93% and a significant reduction in output power degradation due to lateral misalignment. Future work includes hardware validation, enhanced explainability through SHAP visualizations, and extensions to dynamic wireless charging and adaptive online learning. The proposed framework aims to improve the robustness and efficiency of wire
- Author
- manthanbait07
- Language
- EN