Fault Diagnosis for Electric Drive Systems of Electrified Vehicles Based on Structural Analysis

Zhang, Jiyu; Yao, Hailin; Rizzoni, Giorgio

doi:10.1109/tvt.2016.2556691

Cited by 76 publications

(31 citation statements)

References 29 publications

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“…To reduce the cost of the machine, the flux switching of the PMSM has been presented in [217]. In order to avoid the fault in any component, an onboard diagnostic approach for PMSM drive system has been presented in [218]. Point of common coupling is used to obtain fast torque monitoring and highperformance operation of a PMSM in [219].…”

Section: Permanent Magnet Synchronous Motormentioning

confidence: 99%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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The rapid consumption of fossil fuel and increased environmental damage caused by it have given a strong impetus to the growth and development of fuelefficient vehicles. Hybrid electric vehicles (HEVs) have evolved from their inchoate state and are proving to be a promising solution to the serious existential problem posed to the planet earth. Not only do HEVs provide better fuel economy and lower emissions satisfying environmental legislations, but also they dampen the effect of rising fuel prices on consumers. HEVs combine the drive powers of an internal combustion engine and an electrical machine. The main components of HEVs are energy storage system, motor, bidirectional converter and maximum power point trackers (MPPT, in case of solar-powered HEVs). The performance of HEVs greatly depends on these components and its architecture. This paper presents an extensive review on essential components used in HEVs such as their architectures with advantages and disadvantages, choice of bidirectional converter to obtain high efficiency, combining ultracapacitor with battery to extend the battery life, traction motors' role and their suitability for a particular application. Inclusion of photovoltaic cell in HEVs is a fairly new concept and has been discussed in detail. Various MPPT techniques used for solar-driven HEVs are also discussed in this paper with their suitability. Keywords Hybrid electric vehicle Á Hybrid energy storage system Á Architecture Á Traction motors Á Bidirectional converter Abbreviations and symbols ABS Antilock braking system AC Alternating current ADTR Antidirectional-twin-rotary ADVISOR Advanced vehicle simulator ANN Artificial neural network ASCI Auto-sequential commutated mode singlephase inverter BEV Battery electric vehicle BLDC Brushless DC motor CD Charge depletion CDFIM Cascaded DFIM CF-qZSI Current-fed quasi-ZSI CMPPT Centralized MPPT CS Charge sustaining CSI Current source inverter CS-PMSM Compound-structure PMSM CVT Continuous variable transmission DC Direct current DFIM Doubly fed induction motor DMPPT Distributed MPPT DRM Double-rotor machines DTC Direct torque control e-CVT Electronic continuous variable transmission EM Electric motor EMS Energy management system EREV Extended range electric vehicle ESS Energy storage system EV Electric vehicle FC Fuel cell

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Section: Permanent Magnet Synchronous Motormentioning

confidence: 99%

A comprehensive review on hybrid electric vehicles: architectures and components

2019

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“…Because the collected vibration signal of the bearing inevitably contains noise, the frequencies of the noise and fault signal will overlap in the frequency spectrum. A traditional morphological filter uses a single-scale operation, so its noise-filtering effects are general; in addition, it may filter out useful fault signals, which may prevent a true reflection of the bearing fault signals [15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter

Zhang

et al. 2020

International Journal of Rotating Machinery

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Bearing fault signal analysis is an important means of bearing fault diagnosis. To effectively eliminate noise in a fault signal, an adaptive multiscale combined morphological filter is proposed based on the theory of mathematical morphology. Both simulation and experimental results show that the adaptive multiscale combined morphological filter can remove noise more thoroughly and retain details of the fault signal better than the dual-tree complex wavelet filter, traditional morphological filter, adaptive singular value decomposition method (ASVD), and improved switching Kalman filter (ISKF). The adaptive multiscale combined morphological filter considers both positive and negative impulses in the signal; therefore, it has strong adaptability to complex noise in the environment, making it an effective new method for bearing fault diagnosis.

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“…For the different development process phases, this standard defines the functional safety requirements and life-cycle management. According to [2], an effective way to guarantee the hybrid or electrical vehicles functional safety is to develop onboard diagnostics (OBD) that are in compliance with the functional safety standards. Early detection is important to avoid sudden failure and to improve machines availability [2].…”

Section: Introductionmentioning

confidence: 99%

“…According to [2], an effective way to guarantee the hybrid or electrical vehicles functional safety is to develop onboard diagnostics (OBD) that are in compliance with the functional safety standards. Early detection is important to avoid sudden failure and to improve machines availability [2]. In addition, failure presence influences negatively on the machine performance.…”

Section: Introductionmentioning

confidence: 99%

Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform

Obeid¹,

Battiston²,

Boileau³

et al. 2017

IEEE Trans. Transp. Electrific.

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In order to improve hybrid and electrical vehicles functional safety and to avoid sudden failures, it is important to develop reliable and robust onboard diagnostics (OBD). This paper discusses the stator incipient fault diagnosis and monitoring of a permanent magnet synchronous motor for hybrid and electrical vehicles. Incipient stator fault appears as intermittent inter-turn faults. Studying this phenomenon had shown that it generates specific distortions in the statoric currents as well as in the reference voltages. The fault monitoring method is based on the identification of these specific distortions and on the localization of the phase containing the defected turns. The theoretical and the experimental results show the effectiveness of the method.

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Fault Diagnosis for Electric Drive Systems of Electrified Vehicles Based on Structural Analysis

Cited by 76 publications

References 29 publications

A comprehensive review on hybrid electric vehicles: architectures and components

A comprehensive review on hybrid electric vehicles: architectures and components

Bearing Fault Signal Analysis Based on an Adaptive Multiscale Combined Morphological Filter

Early Intermittent Interturn Fault Detection and Localization for a Permanent Magnet Synchronous Motor of Electrical Vehicles Using Wavelet Transform

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