Design Optimization of IPMSM for 42 V Integrated Starter Alternator Using Lumped Parameter Model and Genetic Algorithms

作者：Mirahki Hooshang^*; Moallem Mehdi; Rahimi Sayyed Abbas

来源：IEEE Transactions on Magnetics, 2014, 50(3): 8100306.

DOI：10.1109/TMAG.2013.2285358

• Genetic algorithms (GAs)
• integrated starter alternator (ISA)
• interior permanent magnet synchronous machine (IPMSM)
• lumped parameter model (LPM)

In this paper, the design optimization of an interior permanent magnet synchronous machine is presented using lumped parameter model and genetic algorithms for 42 V integrated starter alternator application. The aim of the optimization is to increase starting torque while keeping torque ripple below 10% and increasing power output in generating mode at high speed and reducing the permanent magnet weight. A finite-element method is used to verify and compare the optimized machine characteristics.

• 出版日期2014-3