A Stepwise Optimal Design Applied to an Interior Permanent Magnet Synchronous Motor for Electric Vehicle Traction Applications

Jae-Gil Lee,Dong-Kuk Lim

doi:10.1109/access.2021.3105119

Abstract

This paper presents a stepwise optimal design (SOD) for an interior permanent magnet synchronous motor (IPMSM) applied to electric vehicle traction, which sequentially utilizes a magnetic equivalent circuit (MEC), finite element analysis (FEA), and a newly proposed optimization algorithm. The design of an IPMSM for the traction motor of a fuel cell electric vehicle (FCEV) is challenging due to its tough requirements, such as high torque density, high efficiency, and low torque ripple; as a result, an iterative trial and error process is required. However, FEA, which is the most generally used analysis technique for electric machine design, has a drawback in terms of the analysis time required when being applied to the entire design process. In this regard, the proposed SOD is presented, which consists of initial, detailed, and optimal design stages, to design an IPMSM with a reasonable design time.

Highlights

An important part of the movement toward a more ecofriendly automobile industry, fuel cell electric vehicles (FCEVs) powered by hydrogen are emerging as the generation of automobiles in the near future [1]-[3]
Since the design of the interior permanent magnet synchronous motor (IPMSM) requires a considerable amount of analysis, it is time-consuming for the designer to utilize finite element analysis (FEA) for the whole design procedure [10]-[12]
Design requirements This paper describes an stepwise optimal design (SOD) based on an IPMSM design for FCEV traction applications

Summary

INTRODUCTION

An important part of the movement toward a more ecofriendly automobile industry, fuel cell electric vehicles (FCEVs) powered by hydrogen are emerging as the generation of automobiles in the near future [1]-[3]. The MEC technique has the advantage of a short computation time, it has difficulties directly utilizing the whole design procedure due to its somewhat lower accuracy compared to the FEA. To address this problem, this study presents a stepwise optimal design (SOD), which performs the design process step by step. In this stage, the thermal characteristics are analyzed by utilizing lumped parameter thermal network (LPTN) analysis. The number of poles was determined as eight, which is the highest possible number that guarantees the frequency capacity

DC link voltage

TABLE II OPTIMIZATION RESULTS OF CANDIDATES

Findings

Conclusion