Computationally Efficient Surrogate-Based Magneto-Fluid-Thermal Numerical Coupling Approach for a Water-Cooled IPM Traction Motor

This paper proposes a computationally-efficient electromagnetic (EM)-computational fluid dynamics (CFD) coupling approach for water-cooled Interior Permanent Magnet (IPM) motor. The numerical simulation of multiple fluids and their interaction with solid parts can be challenging. proposed relies on the heat transfer coefficient (HTC) decomposition different fluids/coolants inside machine to generate an HTC look-up table (LUT) as function coolant inlet flow rate. HTC-LUT is then utilized surrogate model stationary decouple fluid-to-fluid and, hence, expedite iterative approach. reduces computational time by almost two-thirds compared while preserving fidelity model. Additionally, formulates correlation between rotor speed, rate, convective coefficients, temperature rise, particularly hot-spot locations in end-windings. uses two-dimensional EM coupled three-dimensional fractional CFD Thus, it cost retains simplicity. viability also validated through lumped parameter thermal network (LPTN) analytical results from both approaches under cooling conditions, rates, current densities are good agreement.