Detection and Evaluation of the Interturn Short Circuit Fault in a BLDC-Based Hub Motor
A brushless dc (BLDC) motor with an outer rotor has great potential for emerging electric vehicle (EV) applications as an in-wheel hub motor. Interturn short circuit faults (ISCFs) are common electrical faults in these applications, and their fault diagnosis is of critical importance. This article p...
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Published in | IEEE transactions on industrial electronics (1982) Vol. 70; no. 3; pp. 3055 - 3068 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.03.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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Abstract | A brushless dc (BLDC) motor with an outer rotor has great potential for emerging electric vehicle (EV) applications as an in-wheel hub motor. Interturn short circuit faults (ISCFs) are common electrical faults in these applications, and their fault diagnosis is of critical importance. This article proposes a signal analysis-based method to detect and quantitatively analyze the ISCF in a BLDC motor under a six-step commutation control strategy. The zero-sequence voltage component (ZSVC) and three-phase currents are simultaneously determined while the fundamental frequency amplitude of the ZSVC is developed as a fault indicator for diagnostic purposes. Thereafter, the faulty phase is identified, and the fault severity is estimated by jointly analyzing the ZSVC and faulted phase current. The proposed technique entails creating an analytical model, a simulation model, and experimental tests. Experimental results demonstrate that the proposed technique has excellent accuracy, quick response, and real-time fault diagnosis for BLDC motors. This technique will accelerate the use of BLDC-based hub motors in EVs and the widespread application of EVs to reduce the carbon emissions. |
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AbstractList | A brushless dc (BLDC) motor with an outer rotor has great potential for emerging electric vehicle (EV) applications as an in-wheel hub motor. Interturn short circuit faults (ISCFs) are common electrical faults in these applications, and their fault diagnosis is of critical importance. This article proposes a signal analysis-based method to detect and quantitatively analyze the ISCF in a BLDC motor under a six-step commutation control strategy. The zero-sequence voltage component (ZSVC) and three-phase currents are simultaneously determined while the fundamental frequency amplitude of the ZSVC is developed as a fault indicator for diagnostic purposes. Thereafter, the faulty phase is identified, and the fault severity is estimated by jointly analyzing the ZSVC and faulted phase current. The proposed technique entails creating an analytical model, a simulation model, and experimental tests. Experimental results demonstrate that the proposed technique has excellent accuracy, quick response, and real-time fault diagnosis for BLDC motors. This technique will accelerate the use of BLDC-based hub motors in EVs and the widespread application of EVs to reduce the carbon emissions. |
Author | Lu, Siliang Wang, Jiliang Hu, Cungang Wang, Hui Cao, Wenping Wang, Xiaoxian |
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Snippet | A brushless dc (BLDC) motor with an outer rotor has great potential for emerging electric vehicle (EV) applications as an in-wheel hub motor. Interturn short... |
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SubjectTerms | Brushless dc motor (BLDC) Brushless DC motors Brushless motors Circuit faults Commutation D C motors Electric vehicles electric vehicles (EVS) Electrical faults fault detection Fault diagnosis in-wheel hub motor interturn short circuit faults (ISCF) Phase current Resonant frequencies Rotors Short circuits Signal analysis Simulation models Stator windings Synchronous motors Windings zero-sequence voltage component (ZSVC) |
Title | Detection and Evaluation of the Interturn Short Circuit Fault in a BLDC-Based Hub Motor |
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