Study of the thermal effects of a five-phase permanent magnet assisted synchronous reluctance motor under fault tolerant control

Arafat, Akm; Herbert, Joseph; Tarek, Tawhid Bin; Choi, Seungdeog

doi:10.1109/iemdc.2017.8002401

Cited by 3 publications

(3 citation statements)

References 13 publications

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“…Thermal sensors are widely used in monitoring and also for validating simulation results [160]. Among the various thermal sensors, thermocouples, thermistors and resistance thermometers are more common.…”

Section: Thermal Monitoringmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

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Permanent magnet (PM) machines have gained increasing attention from the industry because of their potential merits over conventional electrical machines. High‐temperature level in electrical machines is a major factor that can adversely impact the performance and health conditions of these machines. These effects need to be minimized to make them competitive with currently operational machines in the industry. It can be done by performing a thorough thermal analysis of the prototype during the design process and proper online thermal monitoring of the machine during the operation stage. Thermal modelling is a powerful tool for achieving such goals in both cases. This paper aims to review the state‐of‐the‐art of thermal modelling techniques and provide a detailed comparison of them in PM machines. The fundamental concepts of heat transfer and sources of heat in PM machines are first discussed. Then, different thermal modelling techniques, including thermal subdomain models (TSMs), lumped parameter thermal networks (LPTNs), finite element models (FEMs), computational fluid dynamics (CFD), reduced order models (ROMs), and hybrid thermal models (HTMs) are introduced and compared. Finally, the utilization of these models in the thermal design, control, and monitoring of PM machines is studied.

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Section: Thermal Monitoringmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

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“…It is observed from the literature review that thermal analysis is based on finite element analysis (FEA) which is highly computational and complex. Therefore, this paper provides the thermal analysis of SRG using 3D time-dependent FEA, EFD, and IFD to fill the gap in the available literature [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Numerical thermal analysis of synchronous reluctance generator for wind energy application

Tolesa,

Tripathy,

Adda

2023

Energy Conversion and Econom

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This paper focuses on the thermal analysis of the synchronous reluctance generator with a rating of 2.1 kW. It mainly uses explicit, and implicit finite difference methods for thermal analysis to reduce the complexity of thermal calculation for the machine's components. It compares the results with the results obtained using a finite element analysis (FEA) and includes the experimental verification of the obtained results. The explicit, and implicit finite difference thermal analysis is relatively simple and computationally fast. Once the design parameters are known, the electric losses and iron losses of the synchronous reluctance generator are evaluated. These machine parameters are utilized in developing the explicit finite difference (EFD), an implicit finite difference (IFD), and a 3D FEA model for thermal analysis. It is observed that the obtained results from the EFD, IFD, FEA, and experiments are very close to each other, and the temperature rise for the designed machine is within the desired and acceptable range.

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“…Alternatively, 3D FE model is often employed for thermal analysis under fault conditions. For example, a 3D thermal model is adopted in [9] to predict temperatures under terminal SC faults, and a similar approach is employed in [13] to evaluate uneven temperature distribution under different open-circuit faults. It should be noted, however, that the 3D FE approach is very time-consuming, and it cannot be practically employed at design optimization stage of fault-tolerant machines for which thermal behaviors under various fault A condition need to be carefully assessed.…”

Section: Introductionmentioning

confidence: 99%

Transient 3-D Lumped Parameter and 3-D FE Thermal Models of a PMASynRM Under Fault Conditions With Asymmetric Temperature Distribution

Shi

Wang

2021

IEEE Trans. Ind. Electron.

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This paper proposes a novel transient 3D lumped-parameter (LP) thermal model and a 3D finite-element (FE) thermal model of a triple redundant 9-phase permanent magnet-assisted synchronous reluctance machine to predict the asymmetric temperature distribution under various fault conditions. Firstly, the predicted transient and steady-state temperatures are compared between the 3D LP and the 3D FE thermal models under fault conditions with uneven loss distribution. Also, the temperatures predicted by the LP and FE thermal models which account a number of practical issues are comprehensively compared with the test results under healthy and short-circuit fault conditions. The relative merits of the two thermal models are discussed. It is shown that both models have reasonable accuracy in predicting the machine thermal behavior under fault conditions and can be chosen according to the requirements.

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Study of the thermal effects of a five-phase permanent magnet assisted synchronous reluctance motor under fault tolerant control

Cited by 3 publications

References 13 publications

An overview of thermal modelling techniques for permanent magnet machines

An overview of thermal modelling techniques for permanent magnet machines

Numerical thermal analysis of synchronous reluctance generator for wind energy application

Transient 3-D Lumped Parameter and 3-D FE Thermal Models of a PMASynRM Under Fault Conditions With Asymmetric Temperature Distribution

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