Numerically Based Reduced-Order Thermal Modeling of Traction Motors

Boscaglia, Luca; Boglietti, Aldo; Nategh, Shafigh; Bonsanto, Fabio; Scema, Claudio

doi:10.1109/tia.2021.3077553

Cited by 18 publications

(7 citation statements)

References 37 publications

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“…Moving towards the thermal model, the authors of [34] use the thermal ROM to obtain an accurate and detailed thermal model of an electric traction motor. The model considers the detailed geometry and material characteristics of the windings and the contact resistances between the different parts of the motor.…”

Section: Methodological Approachmentioning

confidence: 99%

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Mendes

Ferreira

2021

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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The digital twin is a trending technology that has been applied to different fields. In this work, the use of the digital twin of electric machines in a life cycle perspective is investigated. It presents a literature review of the main concepts and applications of the digital twin in the field. In addition, it discusses the methodological approach to obtain the digital twin of a static electric machine by using its multiphysics model in a reduced order model, to improve the maintenance scheme and estimate the lifetime of its insulation system based on the machine's temperature profile.

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Section: Methodological Approachmentioning

confidence: 99%

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Mendes

Ferreira

2021

2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applicat

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“…For the slot cooling channel, formulas (22) to (24), are used to calculate the heat transfer coefficient [40], where , and are the oil The heat transfer coefficients in the air-gap and in the end-winding region are mainly dependent on the rotor speed, and less sensitive to the oil flow rate. The convection heat transfer in the slot cooling channel, however, is changing with the oil flow rate, with the variation plotted in Fig.…”

Section: = (13)mentioning

confidence: 99%

“…Meanwhile, the modelling technique for the aforementioned slot channel cooling thermal analysis presented in the existing literature is CFD, which is a very time demanding simulation approach [15,21] and therefore not straightforward to be used within a multidomain optimization environment. Computationally effective thermal model with CFD and Conjugate Heat Transfer (CHT) model implementation are investigated in [2,[22][23][24][25] for timeeffective thermal performance of the machine, where the copper loss increase with temperature is considered. Compared to CFD, lumped parameter thermal network (LPTN) is flexible and provides thermal results very quickly.…”

mentioning

confidence: 99%

Improved Thermal Modeling and Experimental Validation of Oil-Flooded High-Performance Machines With Slot-Channel Cooling

Zhang

Gerada

et al. 2022

IEEE Trans. Transp. Electrific.

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Thermal management is often considered a bottleneck in the pursuit of the next generation electrical machines for electrified transportation with a step change in power density. Slot-channel cooling is considered to be an effective cooling technique, either as an independent method or as a secondary heat transfer path which compliments traditional cooling systems. The slotchannel specific geometry and position effects on the thermal benefits are not thoroughly investigated in literature, while previous work focuses on passing fluid through the un-used space left in between coils forming concentrated windings. In this paper, slot-channel cooling is implemented within an oil-flooded cooling system for a high power density motor used as a pump. A flexible and detailed lumped parameter thermal network (LPTN) is proposed for the cooling system, with the LPTN used to optimize the slot-channel dimensions and location for obtaining maximum thermal benefits. Finally, a surfacemount permanent magnet (SPM) machine with the optimized slot channel geometry is built and tested to validate the thermal model, experimentally achieving an armature continuous current density in excess of 30A/mm 2 . Index Terms-slot cooling, fully flooded oil cooling, thermal network, high speed, high power density, thermal management. I.INTRODUCTION

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“…High-fidelity virtual models are usually achieved with Multiphysics numerical simulations, such as the one performed in [16], in which a structural coupling technique was used to model a power transformer under stressful operating conditions. With a digital twin it is possible, for example, to estimate the remaining device lifetime and to evaluate its behavior under certain operating conditions [17].…”

Section: Introductionmentioning

confidence: 99%

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

Santos¹,

Tshoombe²,

Santos³

et al. 2023

IEEE Access

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Electric induction motors are the type of motor most commonly operated in industry, and for this reason technologies that predict faults and reduce the corrective maintenance are of great interest. In this context, this paper presents a predictive maintenance tool of electric motors using the concepts of Digital Twin (DT) and Industrial Internet of Things (IIoT). The proposed system is innovative, as it monitors the motor current and temperature by means of sensors and a low-cost acquisition module, and these measurements are sent via Wi-Fi to a database. The concept of DT was leveraged by providing the measurements as inputs to a high-fidelity strongly-coupled model of the monitored monitor, using the Finite Element Method (FEM). The results obtained are satisfactory, because the sensors used presented acceptable errors that do not interfere with the reliability of the results. The computer simulation showed relative errors below 4% in the conductivity analysis and 10% in the temperature analysis. In addition, the simulation allows verifying the internal temperature of the motor, its resistive losses, and the intensity of the magnetic flux at each pole. It is worth pointing out that the internal analysis performed is only possible due to the combination of IIoT and computer simulations. Therefore, they allow a better diagnosis of the motor's operational status and also a time estimate for the next maintenance service, thus being ideal for the industrial sector.INDEX TERMS Condition monitoring, digital twin, finite element analysis, induction motors, Internet of Things.

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Numerically Based Reduced-Order Thermal Modeling of Traction Motors

Cited by 18 publications

References 37 publications

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Extending the Multiphysics Modelling of Electric Machines in a Digital Twin Concept

Improved Thermal Modeling and Experimental Validation of Oil-Flooded High-Performance Machines With Slot-Channel Cooling

Digital Twin-Based Monitoring System of Induction Motors Using IoT Sensors and Thermo-Magnetic Finite Element Analysis

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