TY - JOUR

T1 - Thermal Analysis and Cooling Strategies of High-Efficiency Three-Phase Squirrel-Cage Induction Motors—A Review

AU - Konda, Yashwanth Reddy

AU - Ponnaganti, Vamsi Krishna

AU - Reddy, Peram Venkata Sivarami

AU - Singh, R. Raja

AU - Mercorelli, Paolo

AU - Gundabattini, Edison

AU - Solomon, Darius Gnanaraj

N1 - Publisher Copyright: © 2024 by the authors.

PY - 2024/1/4

Y1 - 2024/1/4

N2 - In recent times, there has been an increased demand for electric vehicles. In this context, the energy management of the electric motor, which are an important constituent of electric vehicles, plays a pivotal role. A lot of research has been conducted on the optimization of heat flow through electric motors, thus reducing the wastage of energy via heat. Futuristic power sources may increasingly rely on cutting-edge innovations like energy harvesting and self-powered induction motors. In this context, effective thermal management techniques are discussed in this paper. Importance was given to the potential energy losses, hotspots, the influence of overheating on the motor efficiency, different cooling strategies, certain experimental approaches, and power control techniques. Two types of thermal analysis computation methods, namely the lumped-parameter circuit method (LPCM) and the finite element method (FEM), are discussed. Also, this paper reviews different cooling strategies. The experimental research showed that the efficiency was greater by 11% with the copper rotor compared to the aluminum rotor. Each rotor type was reviewed based on the temperature rise and efficiency at higher temperatures. The water-cooling method reduced the working temperatures by 39.49% at the end windings, 41.67% at the side windings, and by a huge margin of 56.95% at the yoke of the induction motor compared to the air-cooling method; hence, the water-cooling method is better. Lastly, modern cooling strategies are proposed to provide an effective thermal management solution for squirrel-cage induction motors.

AB - In recent times, there has been an increased demand for electric vehicles. In this context, the energy management of the electric motor, which are an important constituent of electric vehicles, plays a pivotal role. A lot of research has been conducted on the optimization of heat flow through electric motors, thus reducing the wastage of energy via heat. Futuristic power sources may increasingly rely on cutting-edge innovations like energy harvesting and self-powered induction motors. In this context, effective thermal management techniques are discussed in this paper. Importance was given to the potential energy losses, hotspots, the influence of overheating on the motor efficiency, different cooling strategies, certain experimental approaches, and power control techniques. Two types of thermal analysis computation methods, namely the lumped-parameter circuit method (LPCM) and the finite element method (FEM), are discussed. Also, this paper reviews different cooling strategies. The experimental research showed that the efficiency was greater by 11% with the copper rotor compared to the aluminum rotor. Each rotor type was reviewed based on the temperature rise and efficiency at higher temperatures. The water-cooling method reduced the working temperatures by 39.49% at the end windings, 41.67% at the side windings, and by a huge margin of 56.95% at the yoke of the induction motor compared to the air-cooling method; hence, the water-cooling method is better. Lastly, modern cooling strategies are proposed to provide an effective thermal management solution for squirrel-cage induction motors.

KW - cooling strategy

KW - heat transfer coefficient

KW - hotspots

KW - induction motor

KW - power control

KW - thermal analysis

KW - thermal management

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85183142041&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/d604937c-5573-3fa7-99df-94f8daa2e263/

U2 - 10.3390/computation12010006

DO - 10.3390/computation12010006

M3 - Scientific review articles

AN - SCOPUS:85183142041

VL - 12

JO - Computation

JF - Computation

SN - 2079-3197

IS - 1

M1 - 6

ER -