As electric vehicles (EVs) become central to sustainable transportation, effective thermal management of electric motors is crucial for performance and efficiency. This paper presents a co-simulation framework combining Ansys Motor-CAD and Ansys Twin Builder to model the electro-thermal behavior of an interior permanent magnet (IPM) motor. Several cooling strategies - constant flow, step control, hysteresis, and PID control - are evaluated in terms of energy consumption and thermal stability. Results show that dynamic control, particularly PID, can reduce pump energy use by up to 80% while maintaining safe operating temperatures. The approach also demonstrates potential in minimizing temperature fluctuations, extending motor life, and enhancing overall system efficiency.
Comparison of Control Strategies for Optimized Cooling of Electrical Machines in Automotive Applications / Paolucci, D.; Ronnberg, K.; Puccio, G.; Barater, D.. - (2025), pp. 1-6. ( 51st Annual Conference of the IEEE Industrial Electronics Society, IECON 2025 esp 2025) [10.1109/IECON58223.2025.11221175].
Comparison of Control Strategies for Optimized Cooling of Electrical Machines in Automotive Applications
Paolucci D.;Puccio G.;Barater D.
2025
Abstract
As electric vehicles (EVs) become central to sustainable transportation, effective thermal management of electric motors is crucial for performance and efficiency. This paper presents a co-simulation framework combining Ansys Motor-CAD and Ansys Twin Builder to model the electro-thermal behavior of an interior permanent magnet (IPM) motor. Several cooling strategies - constant flow, step control, hysteresis, and PID control - are evaluated in terms of energy consumption and thermal stability. Results show that dynamic control, particularly PID, can reduce pump energy use by up to 80% while maintaining safe operating temperatures. The approach also demonstrates potential in minimizing temperature fluctuations, extending motor life, and enhancing overall system efficiency.
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