Analysis and co-simulation of permanent magnet sychronous motor with short-circuit fault by finite element method

Fitouri, Manel; Bensalem, Yemna; Abdelkrim, Mohamed Naceur

doi:10.1109/ssd.2016.7473721

Cited by 20 publications

(4 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…FEM has been commonly used for almost all PMSM faults [43][44][45], including the inter-turn short circuit, eccentricity and demagnetization. This is because by finite element field calculation, both physical and geometric details can be taken into account and various types of mechanical failure can be modeled [46].…”

Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

View full text Add to dashboard Cite

Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields. In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the electrical, mechanical and magnetic faults of the permanent magnet synchronous motor are introduced. Next, common fault diagnosis methods, such as model-based fault diagnosis, different signal processing methods, and data-driven diagnostic algorithms are enumerated. The research summarized in this paper mainly includes fault performance, harmonic characteristics, different time-frequency analysis techniques, intelligent diagnosis algorithms proposed recently and so on.

show abstract

Section: Model-based Fault Diagnosis Methodsmentioning

confidence: 99%

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

et al. 2019

View full text Add to dashboard Cite

show abstract

“…It obtains precise results by dividing a large electromagnetic device into smaller elements and using complex mathematical equations, and it has been used for detecting PMSM faults, especially eccentricity, demagnetization and ITSF [77,78]. Figures 2 and 3 in [79] show the finite element model of the PMSM.…”

Section: Fault Detection and Diagnosis Of Electric Motor Drivesmentioning

confidence: 99%

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

2023

View full text Add to dashboard Cite

Fault detection and diagnosis (FDD) is of utmost importance in ensuring the safety and reliability of electric vehicles (EVs). The EV’s power train and energy storage, namely the electric motor drive and battery system, are critical components that are susceptible to different types of faults. Failure to detect and address these faults in a timely manner can lead to EV malfunctions and potentially catastrophic accidents. In the realm of EV applications, Permanent Magnet Synchronous Motors (PMSMs) and lithium-ion battery packs have garnered significant attention. Consequently, fault detection methods for PMSMs and their drives, as well as for lithium-ion battery packs, have become a prominent area of research. An effective FDD approach must possess qualities such as accuracy, speed, sensitivity, and cost-effectiveness. Traditional FDD techniques include model-based and signal-based methods. However, data-driven approaches, including machine learning-based methods, have recently gained traction due to their promising capabilities in fault detection. This paper aims to provide a comprehensive overview of potential faults in EV motor drives and battery systems, while also reviewing the latest state-of-the-art research in EV fault detection. The information presented herein can serve as a valuable reference for future endeavors in this field.

show abstract

“…Finite Element Method (FEM) is a fairly mature method for solving engineering designs, which can speed up product design and iterative optimization, and many researchers and scholars use FEM to study the structural properties of materials [15]- [16], temperature analysis of equipment [17], optimization of the electric field distribution structure of EBCOMS to improve the charge collection efficiency [18], prediction of mechanical and structural performance in special environments [19]- [21], failure analysis of equipment [22]. In this paper, finite element analysis will be used to solve and analyze the structural factors affecting the temperature uniformity of flat plate dPCR thermal conductive plates.…”

Section: Introductionmentioning

confidence: 99%

Multi-factor coupled thermal simulation of flat-panel digital PCR structure

Li,

Qin,

Wang

2024

J. meas. eng.

View full text Add to dashboard Cite

To achieve uniform reaction temperature in flat-plate digital polymerase chain reaction (dPCR), we propose a multi-factor coupled thermal simulation method for the structure of flat-plate digital PCR using finite element analysis. This will help us obtain the optimal method for the structure of flat-plate dPCR. Thermal simulations were conducted to analyze the effects of forced air cooling, thermoelectric cooler (TEC) arrangement spacing, and heat-conducting plate thickness on the temperature uniformity of the flat-plate dPCR. The resulting isothermal surfaces and velocity magnitude vectors were used to summarize the impact of each factor. The study found that maintaining a mechanical fan speed of 3000 revolutions per minute (RPM) ±10 % during the heating period resulted in a 29.3 % reduction in the standard deviation of the temperature on the surface of the heat-conducting plate. Additionally, when the TEC spacing was between 2 mm and 3.5 mm, the standard deviation of the temperature on the plate's surface decreased by 87.1 % to 93.4 %. When the thickness of the thermal plate ranges from 3.5 mm to 4.5 mm, the standard deviation of the temperature on the surface of the thermal plate varies by approximately 0.006. The experimental results, obtained by sampling and analyzing the temperature on the surface of the thermal plate, are consistent with the simulation results. This proves that the method is informative in determining the structural parameters of the dPCR to enhance temperature uniformity.

show abstract

Analysis and co-simulation of permanent magnet sychronous motor with short-circuit fault by finite element method

Cited by 20 publications

References 18 publications

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Faults and Diagnosis Methods of Permanent Magnet Synchronous Motors: A Review

Fault Detection and Diagnosis of the Electric Motor Drive and Battery System of Electric Vehicles

Multi-factor coupled thermal simulation of flat-panel digital PCR structure

Contact Info

Product

Resources

About