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

Shi, Yanwen; Wang, Jiabin; Wang, Bo

doi:10.1109/tie.2020.2988224

Cited by 28 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is suggested to avoid complex cooling method in these applications, so usually air cooled PMSMs are preferred [142]. Generally, it is important to present a computationally efficient thermal model with capability of considering practical issues for fault tolerant PM machines in faulty conditions [143]. As a result, LPTN method is used in many works for thermal modelling with some considerations like fine tuning critical parameters (e.g.…”

Section: Applications Of Thermal Modelling In Electrical Machinesmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

View full text Add to dashboard Cite

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.

show abstract

Section: Applications Of Thermal Modelling In Electrical Machinesmentioning

confidence: 99%

An overview of thermal modelling techniques for permanent magnet machines

Khalesidoost

Faiz

Mazaheri‐Tehrani

2022

IET Science Measure & Tech

View full text Add to dashboard Cite

show abstract

“…However, for particularly complex and high-order LPTNs, as well as for those cases where the assumptions for the thermal parameters computations are not rigorous, the identification of a thermal parameters set that allows accurate replication of the temperature variations measured on the real machine may not be straightforward. In these cases, optimization techniques are often used in conjunction with measurements to properly calibrate the thermal network parameters [26][27][28][29][30]. Nevertheless, complex LPTNs are often simplified considering only the main heat paths, both for more straightforward parameters identification as well as to make the LPTN suitable for online temperature predictions during machine operation [31].…”

Section: Lumped-parameters Thermal Models For Pm Synchronous Machinesmentioning

confidence: 99%

“…In particular, recent research works propose multidimensional analytical thermal models to consider additional heat paths with respect to the one-dimensional (1-D) heat flow modeled through a thermal resistance. For instance, in [5,23], two-dimensional analytical thermal models are proposed for PM machines, while in [18,26], three-dimensional analytical thermal approaches are proposed for predicting the temperature in synchronous machines affected by faults in the stator winding. Regardless of the model complexity, optimization techniques are usually adopted in literature to identify a suitable set of values for the network parameters [27,31].…”

Section: Lumped-parameters Thermal Models For Pm Synchronous Machinesmentioning

confidence: 99%

Lumped-Parameters Thermal Network of PM Synchronous Machines for Automotive Brake-by-Wire Systems

Graffeo

Vaschetto

Miotto³

et al. 2021

Energies

View full text Add to dashboard Cite

Thermal analysis represents a key factor in electrical machine design due to the impact of temperature increase on insulation lifetime. In this context, there has been a wide investigation on thermal modeling, particularly for machines used in harsh working conditions. In this perspective, brake-by-wire (BBW) systems represent one of the most challenging applications for electrical machines used for automotive smart actuators. Indeed, electro-actuated braking systems are required to repeatedly operate the electric machine in high overload conditions in order to limit the actuator response time, as well as to enhance gravimetric and volumetric specific performance indexes. Moreover, BBW systems often impose unconventional supply conditions to the electric machine, consisting of dc currents in three-phase windings to keep the rotor fixed during the braking intervals. However, a dc supply leads to uneven temperature distributions in the machine, and simplified thermal models may not accurately represent the temperature variations for the different machine parts. Considering such unconventional supply conditions, this paper initially investigates the applicability of a conventional lumped-parameters thermal network (LPTN) based on symmetry assumptions for the heat paths and suitable for surface-mounted PM synchronous machines used in BBW systems. An extensive test campaign consisting of pulses and load cycle tests representative of the real machine operations was conducted on a prototype equipped with several temperature sensors. The comparison between measurements and predicted average temperatures, together with insights on the unbalanced heat distribution under the dc supply obtained by means of finite element analyses (FEA), paved the way for the proposal of a phase-split LPTN with optimized parameters. The paper also includes a critical analysis of the optimized parameters, proposing a simplified, phase-split lumped-parameters thermal model suitable to predict the temperature variations in the different machine parts for PM synchronous electric machines used in BBW systems.

show abstract

“…At the same time, the maximum allowable working time of the motor under the condition of water cooling and short‐time overload current of 4.5A without water cooling was calculated, but the change of material performance with temperature was not considered. Many scholars have improved the temperature analysis model of the motor and proposed models such as finite element‐thermal network bi‐directional coupling and equivalent magnetic circuit‐finite element bi‐directional coupling [11–13]. In [14], the operation performance of induction motor is analyzed by the method of EM‐thermal bi‐directional coupling; The author uses the equivalent circuit to calculate the performance and loss of the motor and the finite element method to calculate the temperature of the motor to reduce the calculation time; The data of lumped parameter model and finite element thermal model can alternate with each other, finally, the calculation is completed by temperature iteration convergence.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic‐Thermal Bi‐directional Coupling Analysis of IEF‐DDPMM Under Different Operation Conditions and Cooling System Optimization Design

Zhang

Guo

2021

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

Compared with the traditional single stator permanent magnet (PM) direct‐drive motor, the direct‐drive PM motor with inner enhance force (IEF‐DDPMM) has the advantages of high‐torque density, strong heavy‐load starting ability and flexible operation mode, so it is especially suitable for the occasions such as mine winches with a wide load range, frequent heavy‐load starting, light‐load operation, and limited use environment space. It is very important to check the temperature rise of IEF‐DDPMM according to its different operating conditions, including transient temperature rise during heavy‐load starting and steady‐state temperature rise during rated operation, so as to optimize the electromagnetic and thermal performance at the same time. Based on the bi‐directional coupling method (BDCM) of the electromagnetic field and temperature field, the thermal analysis of IEF‐DDPMM and the transient temperature field analysis of the inner motor as a torque motor for short‐term operation are carried out, and then the rated power of inner motor in S1 working system and the maximum operation time of output peak power are determined. The fluid–solid coupling analysis method is used to optimize the design of the cooling system, and the influence of the number of water channels and inlet water velocity on the heat dissipation effect of the motor is analyzed. A cooling system with strong heat dissipation ability is obtained, which can achieve higher power or torque output within the temperature range of winding insulation or demagnetization limitation of PM. Finally, a prototype is developed and equipped with a temperature rise experimental platform, and the experimental results provided a good verification of the simulation results. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

show abstract

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

Cited by 28 publications

References 25 publications

An overview of thermal modelling techniques for permanent magnet machines

An overview of thermal modelling techniques for permanent magnet machines

Lumped-Parameters Thermal Network of PM Synchronous Machines for Automotive Brake-by-Wire Systems

Electromagnetic‐Thermal Bi‐directional Coupling Analysis of IEF‐DDPMM Under Different Operation Conditions and Cooling System Optimization Design

Contact Info

Product

Resources

About