Analysis of stator winding inter-turn short circuit fault of PMSM for electric vehicle based on finite element simulation

Zhang, Chengning; Wang, Fang; Wang, Zhifu; Yang, Jingzhe

doi:10.1109/itec-ap.2014.6940913

Cited by 7 publications

(1 citation statement)

References 11 publications

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“…Studies have shown that the occurrence of ITSF faults induces the 9th current harmonics in the fault phase, and these harmonics remain unchanged regardless of the fault level [63]. Additionally, ITSF faults excite second-order harmonics in the q-axis current, which can be utilized for detection [64,65].…”

Section: Diagnostic Methods Based On Stator Current Signalmentioning

confidence: 99%

An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles

Jiang,

Ji,

Zhang

et al. 2024

WEVJ

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This article provides a comprehensive overview of state-of-the-art techniques for detecting and diagnosing stator winding inter-turn short faults (ITSFs) in permanent-magnet synchronous motors (PMSMs) for electric vehicles (EVs). The review focuses on the following three main categories of diagnostic approaches: motor model-based, signal processing-based, and artificial intelligence (AI)-based fault detection and diagnosis methods. Motor model-based methods utilize motor state estimation and motor parameter estimation as the primary strategies for ITSF diagnosis. Signal processing-based techniques extract fault signatures from motor measured data across time, frequency, or time-frequency domains. In contrast, AI-based methods automatically extract higher-order fault signatures from large volumes of preprocessed data, thereby enhancing the effectiveness of fault diagnosis. The strengths and limitations of each approach are thoroughly examined, providing valuable insights into the advancements in ITSF detection and diagnosis techniques for PMSMs in EV applications. The emphasis is placed on the application of signal processing methods and deep learning techniques in the diagnosis of ITSF in PMSMs in EV applications.

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Section: Diagnostic Methods Based On Stator Current Signalmentioning

confidence: 99%

An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles

Jiang,

Ji,

Zhang

et al. 2024

WEVJ

View full text Add to dashboard Cite

show abstract

Phase-phase Short Fault Analysis of Permanent Magnet Synchronous Motor in Electric Vehicles

et al. 2016

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Modeling and fault diagnosis of inter-turn short circuit for five-phase PMSM based on Particle Swarm Optimization

Yang

Dou

Dai

et al. 2016

2016 IEEE Applied Power Electronics Conference and Exposition (APEC)

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Multiphase PMSMs are widely used in faulttolerant control applications. And one of the important faulttolerant control problems is fault diagnosis. In most existing references, the fault diagnosis always focuses on three-phase PMSM. In this paper, a novel model and a fault diagnosis method of inter-turn short circuit (ITSC) fault for five-phase PMSM based on particle swarm optimization (PSO) are presented. There are two contributions in this paper: 1) By analyzing the physical parameters of the PMSM, such as resistance, inductance and flux, the mathematic model of ITSC fault for five-phase PMSM is established. 2) A parameter estimation method based on PSO algorithm, which introduces a fitness function related to the ITSC ratio and reformulates the fault parameters identification problem as the extreme seeking problem, is proposed to track the actual ITSC ratio and detect the fault level for five-phase PMSM. Simulation results provide preliminary verification of the proposed model and fault diagnosis method.

show abstract

Analysis of stator winding inter-turn short circuit fault of PMSM for electric vehicle based on finite element simulation

Cited by 7 publications

References 11 publications

An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles

An Overview of Diagnosis Methods of Stator Winding Inter-Turn Short Faults in Permanent-Magnet Synchronous Motors for Electric Vehicles

Phase-phase Short Fault Analysis of Permanent Magnet Synchronous Motor in Electric Vehicles

Modeling and fault diagnosis of inter-turn short circuit for five-phase PMSM based on Particle Swarm Optimization

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