Beta
358547

Diagnosis of the Electric Vehicles Synchronous Motors Faults Using Signal Analysis Techniques

Article

Last updated: 24 Dec 2024

Subjects

-

Tags

-

Abstract

There is no doubt that electric vehicles (EV), are gaining huge popularity, this is due to the significant advantages of electric vehicles when compared to an ICE vehicle.  These advantages include the quietness, the friendly usage, low pollution emission and low maintenance cost.  On the other hand, and as electric vehicles are still machine, the EVs have several components that can be faulty and affect the vehicle performance and maybe in some stages lead to severe failures or life threatening. These components are mainly the battery, electric motor and controllers. So, many studies focused on studying the electric vehicles components fault detection in the early stages. This paper will focus on one of the most common motor types, the permanent magnet synchronous motors. One of the common PMSM faults related to the rotor is the demagnetization. This fault will be extensively studied using two of the signal analysis method techniques: the output torque and the stator current signal analysis. Using the MATLAB Simulink, a complete model of the PMSM will be built and the uniform demagnetization fault will be introduced. Then, a comparison between both torque and current signatures will be presented to put our hands on the ability of these techniques to identify the uniform demagnetization fault.

DOI

10.21608/erj.2024.358547

Keywords

Electric vehicles, PMSM, MCSA, Demagnetization, Fault Detection

Authors

First Name

Mohamed

Last Name

A. E. Badawy

MiddleName

-

Affiliation

Researcher, Automotive Eng. Department, Faculty of Engineering, Helwan University, Egypt

Email

-

City

-

Orcid

-

First Name

Mostafa

Last Name

M. A. Mohamed

MiddleName

-

Affiliation

lecturer of Automotive Eng. Department, Faculty of Engineering, Helwan University, Egypt.

Email

-

City

-

Orcid

-

First Name

Ahmed

Last Name

A. A. Saad

MiddleName

-

Affiliation

Professor of Automotive Eng. Department, Faculty of Engineering, Helwan University, Egypt.

Email

-

City

-

Orcid

-

Volume

182

Article Issue

2

Related Issue

48211

Issue Date

2024-06-01

Receive Date

2024-06-05

Publish Date

2024-06-01

Page Start

195

Page End

208

Print ISSN

1110-5615

Link

https://erj.journals.ekb.eg/article_358547.html

Detail API

https://erj.journals.ekb.eg/service?article_code=358547

Order

358,547

Type

Original Article

Type Code

998

Publication Type

Journal

Publication Title

Engineering Research Journal

Publication Link

https://erj.journals.ekb.eg/

MainTitle

Diagnosis of the Electric Vehicles Synchronous Motors Faults Using Signal Analysis Techniques

Details

Type

Article

Created At

24 Dec 2024