基于机器学习的Delta与反Delta耦合器优化及其在电动汽车无线充电中的应用

A wireless resonant inductive power transfer (WRIPT)-based electric vehicle charging system requires an efficient lightweight inductive coupler with high misalignment tolerance. This article proposes a new delta and inverse delta (Δ–∇) coil geometry coupler and a machine learning (ML)-based reinforcement algorithm for Δ–∇ coupler optimization. Δ–∇ is a combination of Δ and ∇ geometry coils, which ...