Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles

 

Maximilian Clauer
E-Drive System Concepts,
Dr. Ing. h.c. F. Porsche AG

Abstract

The requirements for an electric vehicle and its powertrain fundamentally represent a multi-criteria conflict of objectives, such as maximum vehicle acceleration, maximum top speed, maximum range, and minimum mass. Therefore, a novel data-driven methodology for the analysis and optimization of electric machines considering the entire powertrain system is presented. The powertrain is considered holistically, including mechanical, electromagnetic, and thermal interactions. By utilizing analytical, numerical, and AI-based methods, the approach enables fast calculation and optimization of electric machines with the corresponding powertrain components such as gearboxes, inverters, and battery pack.

Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles

Data-Driven Optimization of E-Machines Considering the Powertrain of Electric Vehicles

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