Improving Drive Cycle Efficiency and <italic>e</italic>-NVH Performance in Traction Motor Drives through High-Fidelity Models

<div class="section abstract"><div class="htmlview paragraph">This paper implements high-fidelity models to analyze the system-level interactions of high-power traction motor drives in modern battery electric vehicles. With the continuous rise in demand for more hybrid and battery electric vehicles on the road, the performance requirements are becoming more demanding and the time to market is significantly shorter. The stringent cost, efficiency, and power density targets and along with the reduced design/development time, necessitate rapid and high-fidelity models for achieving optimized designs that satisfy the demands. Pulse-width modulation (PWM) strategies such as space vector and discontinuous are used widely in traction applications. The resultant harmonics generated from the inverter lead to increased electromagnetic noise, vibration and harshness (<i>e</i>-NVH) factors such as torque ripple and radial force harmonics, as well as harmonic losses in the stator and rotor. These unintended side effects of PWM are significant and need to be included in the design optimization and analysis stage to find the best combination of design variations and input conditions. This paper presents a high-fidelity model using a hybrid analytical and numerical approach to consider the motor-inverter interactions that can be used towards the optimization of the motor design and inverter control parameters. The current ripple from the inverter is calculated using an equivalent motor model based on flux linkages. The resultant losses and <i>e</i>-NVH factors are calculated and validated for select modulation strategies and corroborated on a sample interior permanent magnet synchronous motor (IPMSM).</div></div>