Litcius/Paper detail

Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles

Xue Zhou, Xiaoyong Zhu, Wenye Wu, Zixuan Xiang, Liu Yong-feng, Li Quan

2020IEEE Transactions on Industrial Electronics121 citationsDOI

Abstract

In this article, a variable-saliency-ratio permanent magnet motor is designed and optimized considering driving cycles. To satisfy the demands of multi-operation conditions of EVs, a variable resistance is adopted and a new variable-saliency-ratio design concept is proposed to enhance output torque, widen speed range and lower irreversible demagnetization risk effectively. A multiobjective optimization considering driving cycles is proposed, where the design objective of saliency ratio is firstly selected and optimized with multiobjective genetic algorithm method. Then, the operation performances of the motor in different operation conditions are investigated in detail. Finally, a prototype motor is built and tested. Both the simulation and experimental results verify the validity of the proposed method.

Topics & Concepts

Variable (mathematics)TorqueRange (aeronautics)Multi-objective optimizationGenetic algorithmComputer scienceControl theory (sociology)Gear ratioEngineeringAutomotive engineeringMathematicsControl (management)Artificial intelligenceMachine learningThermodynamicsMathematical analysisAerospace engineeringPhysicsElectric Motor Design and AnalysisMagnetic Bearings and Levitation DynamicsSensorless Control of Electric Motors
Multi-objective Optimization Design of Variable-Saliency-Ratio PM Motor Considering Driving Cycles | Litcius