Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance
Abstract The high‐performance characteristics of brushless direct current (BLDC) motor has made them indispensable for electric vehicle (EV) applications. The physical replacement of rotor windings with the permanent magnets on the rotor, makes the BLDC motor more compact, generating high torque‐pow...
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Format: | Article |
Language: | English |
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Wiley
2021-06-01
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Series: | IET Electrical Systems in Transportation |
Online Access: | https://doi.org/10.1049/els2.12006 |
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author | Adil Usman Bharat Singh Rajpurohit |
author_facet | Adil Usman Bharat Singh Rajpurohit |
author_sort | Adil Usman |
collection | DOAJ |
description | Abstract The high‐performance characteristics of brushless direct current (BLDC) motor has made them indispensable for electric vehicle (EV) applications. The physical replacement of rotor windings with the permanent magnets on the rotor, makes the BLDC motor more compact, generating high torque‐power density. However, the continuous operation of BLDC motors in EVs make them vulnerable to faults. Develops the surface mounted permanent magnet‐type BLDC motor under healthy and fault conditions using remodelling of stator winding inductances and rotor magnetic fields of a machine. The stator winding inductance (LS) is modelled using winding function theory depending on the physical distribution of a winding, while the rotor magnetic field (Bg) is modelled through magnetic equivalent circuit based approach, respectively. Both the machine quantities under healthy operating conditions are estimated based on the motor geometry and validated numerically using finite element based methods. The experimental investigation validates the results obtained through given modelling techniques. The experimental and numerically obtained data of LS and Bg are then remodelled in a BLDC motor, to investigate the hybrid performance of a machine, useful in diagnosis of faults. The results obtained are further used to classify the faults and estimate its severity. |
format | Article |
id | doaj-art-453cebe7995e48f0ae12a322e3376282 |
institution | Kabale University |
issn | 2042-9738 2042-9746 |
language | English |
publishDate | 2021-06-01 |
publisher | Wiley |
record_format | Article |
series | IET Electrical Systems in Transportation |
spelling | doaj-art-453cebe7995e48f0ae12a322e33762822025-02-03T01:29:38ZengWileyIET Electrical Systems in Transportation2042-97382042-97462021-06-01112819810.1049/els2.12006Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductanceAdil Usman0Bharat Singh Rajpurohit1School of Computing and Electrical Engineering Indian Institute of Technology Mandi Mandi Himachal Pradesh IndiaSchool of Computing and Electrical Engineering Indian Institute of Technology Mandi Mandi Himachal Pradesh IndiaAbstract The high‐performance characteristics of brushless direct current (BLDC) motor has made them indispensable for electric vehicle (EV) applications. The physical replacement of rotor windings with the permanent magnets on the rotor, makes the BLDC motor more compact, generating high torque‐power density. However, the continuous operation of BLDC motors in EVs make them vulnerable to faults. Develops the surface mounted permanent magnet‐type BLDC motor under healthy and fault conditions using remodelling of stator winding inductances and rotor magnetic fields of a machine. The stator winding inductance (LS) is modelled using winding function theory depending on the physical distribution of a winding, while the rotor magnetic field (Bg) is modelled through magnetic equivalent circuit based approach, respectively. Both the machine quantities under healthy operating conditions are estimated based on the motor geometry and validated numerically using finite element based methods. The experimental investigation validates the results obtained through given modelling techniques. The experimental and numerically obtained data of LS and Bg are then remodelled in a BLDC motor, to investigate the hybrid performance of a machine, useful in diagnosis of faults. The results obtained are further used to classify the faults and estimate its severity.https://doi.org/10.1049/els2.12006 |
spellingShingle | Adil Usman Bharat Singh Rajpurohit Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance IET Electrical Systems in Transportation |
title | Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
title_full | Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
title_fullStr | Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
title_full_unstemmed | Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
title_short | Condition monitoring of a surface mounted permanent magnet‐type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
title_sort | condition monitoring of a surface mounted permanent magnet type brushless direct current motor using remodelling of rotor magnetic field and stator winding inductance |
url | https://doi.org/10.1049/els2.12006 |
work_keys_str_mv | AT adilusman conditionmonitoringofasurfacemountedpermanentmagnettypebrushlessdirectcurrentmotorusingremodellingofrotormagneticfieldandstatorwindinginductance AT bharatsinghrajpurohit conditionmonitoringofasurfacemountedpermanentmagnettypebrushlessdirectcurrentmotorusingremodellingofrotormagneticfieldandstatorwindinginductance |