High-Performance PMSM Optimization Techniques

At Drivetek AG, we have a history of designing high power density drivetrain components for motorsport applications. The design process for these efficiency and power-density driven optimizations is very evolved and highly application specific. For electric machine optimization, JMAG Designer, and especially the scripting capability, plays a crucial role in our design process. Whilst single objective parametric studies are relatively easy to set up, the complexity increases exponentially when performing multi-objective coupled optimizations with dozens of parameters. Using JMAG Designer along with our complementary toolchain allows us to consider not only static design parameters such as torque, weight or inertia, but to analyse the impact of a parameter for a given set of load points and its interaction with our design target. This includes crucial analysis like field weakening parameters, PWM current ripple analysis or skin and proximity loss analysis. To adapt to design changes and to stay agile for our clients, another crucial metric of the optimization process is the time required to optimize a given design and the number of manual inputs which is necessary for the optimization. In this presentation, we’ll show our step-by-step optimization process and give you an insight of the power of the combination using analytical models in conjunction with a highly capable FEA software such as JMAG Designer.