  Magnetic gears offer advantages over mechanical gears, including contactless
power transfer, but require robust analysis tools for optimization and
commercialization. This study proposes a rapid and accurate 2D nonlinear
magnetic equivalent circuit (MEC) model for radial flux magnetic gears (RFMG).
The model, featuring a parameterized gear geometry and adjustable flux tube
distribution, accommodates nonlinear effects like magnetic saturation while
maintaining quick simulation times. Comparison with a nonlinear finite element
analysis (FEA) model demonstrates the MEC's accuracy in torque and flux density
predictions across diverse designs. Additionally, a parametric optimization
study of 140,000 designs confirms the MEC's high accuracy, achieving close
agreement with FEA torque predictions, with simulations running up to 100 times
faster. Finally, the MEC shows good agreement with 2D FEA for a prototype RFMG.
