Thermal Analysis and Heat Management Strategies for an Induction Motor, a Review

Sameer Madhavan, Raunak Devdatta P B, Edison Gundabattini () and Arkadiusz Mystkowski ()
Additional contact information
Sameer Madhavan: School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore 632 014, India
Raunak Devdatta P B: School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore 632 014, India
Edison Gundabattini: Department of Thermal and Energy Engineering, School of Mechanical Engineering, Vellore Institute of Technology (VIT), Vellore 632 014, India
Arkadiusz Mystkowski: Faculty of Electrical Engineering, Department of Automatic Control and Robotics, Bialystok University of Technology, Wiejska 45D, 15-351 Bialystok, Poland

Energies, 2022, vol. 15, issue 21, 1-20

Abstract: Induction motors have gained a renewed interest due to this new shift from conventional power sources to electric power. These motors are known for their high commencing torque, adequate speed control and reasonable overload capacity. However, induction motors have an innate thermal issue wherein their lifespan and performance are strongly temperature dependent. Hence, it is highly essential to focus on the thermal management aspect of these motors to ensure reliability and enhance performance. Thus, the major purpose of the paper is to comprehensively review various approaches and methods for thermal analysis, including finite element analysis, lumped parameter thermal network and computational fluid dynamics tools. Moreover, it also presents various cooling strategies commonly adopted in induction motors. Furthermore, this study also suggests an integrated approach with two or more cooling strategies to be the need of the hour. These will combine the benefits of the individual system while helping to counter their drawbacks. This study will help to serve members of the scientific community, manufacturers or motors users who are interested in the thermal management of induction motors.

Keywords: lumped parameter thermal networks; computational fluid dynamics; finite element analysis; thermal analysis; heat transfer; thermal management (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/21/8127/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/21/8127/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:21:p:8127-:d:959479

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().