Multi‐objective optimisation design and performance comparison of permanent magnet synchronous motor for EVs based on FEA
Authors:
Open Access
- 23 May 2019
- journal article
- research article
- Published by Institution of Engineering and Technology (IET) in IET Electric Power Applications
- Vol. 13 (8) , 1157-1166
Abstract
The requirements of high efficiency, power density, and low price for the motor of electric vehicles (EVs) make the design of the driving motor become a process of multi‐objective optimisation. For purpose of the permanent magnet synchronous motor (PMSM) used for EVs has the higher efficiency, wider range of speed regulation with flux‐weakening and better cost superiority, a multi‐objective optimisation design approach based on finite element analysis (FEA) and modified particle swarm optimisation (MPSO) algorithm which takes efficiency, flux‐weakening rate, and price as optimisation objectives is proposed in this study. Five PMSMs with different rotor topologies (V‐shape, U‐shape, double V‐shape, delta‐shape, and double tangential‐shape) are optimised by the proposed optimisation method and their performance characteristics, including flux‐weakening ability, efficiency, price, and anti‐demagnetisation ability, are compared. The results suggest that double V‐shape rotor topology has the wider constant power range and double‐layer PMs topology has stronger anti‐demagnetisation ability and wider high efficiency interval, whereas single‐layer topology has lower cost price. Furthermore, a PMSM prototype with V‐shape PMs is manufactured, so that the feasibility of multi‐objective optimisation design approach and accuracy of FEA are verified by prototype experiments.Keywords
Funding Information
- Fundamental Research Funds for the Central Universities (2018YJS161)
This publication has 30 references indexed in Scilit:
- Lagrange Interpolation Learning Particle Swarm OptimizationPLOS ONE, 2016
- Comparison of Two Different IPM Traction Machines With Concentrated WindingIEEE Transactions on Industrial Electronics, 2016
- Research on the Performances and Parameters of Interior PMSM Used for Electric VehiclesIEEE Transactions on Industrial Electronics, 2016
- Modified Particle Swarm Optimization technique based Maximum Power Point Tracking for uniform and under partial shading conditionApplied Soft Computing, 2015
- Modeling, Analysis, and Testing of a Novel Spoke-Type Interior Permanent Magnet Motor With Improved Flux Weakening CapabilityIEEE Transactions on Magnetics, 2015
- Thermal Model of Totally Enclosed Water-Cooled Permanent-Magnet Synchronous Machines for Electric Vehicle ApplicationIEEE Transactions on Industry Applications, 2015
- Electric Vehicle Design Optimization: Integration of a High-Fidelity Interior-Permanent-Magnet Motor ModelIEEE Transactions on Vehicular Technology, 2014
- Optimisation of non‐uniform time‐modulated conformal arrays using an improved non‐dominated sorting genetic‐II algorithmIET Microwaves, Antennas & Propagation, 2014
- A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertaintyInformation Sciences, 2012
- A modified Artificial Bee Colony algorithm for real-parameter optimizationInformation Sciences, 2012