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Power loss segregation in electrical machines through calorimetry and inverse thermal modelling
- Source :
- IET Electric Power Applications. 14:1127-1133
- Publication Year :
- 2020
- Publisher :
- Institution of Engineering and Technology (IET), 2020.
-
Abstract
- openaire: EC/FP7/339380/EU//ALEM This study combines calorimetric measurement of power loss of an induction motor with inverse thermal mapping of its temperatures to segregate the net power loss into its constituent components. Constrained least square fitting is the tool used to achieve the inverse mapping. The lumped thermal network of the motor serves as the forward thermal model, establishing the physical relationship between the motor's power losses and its resultant temperature rises. The objective of the iterative minimisation is to find the actual loss components that correspond to the temperatures measured, and which sum up to the total loss of the motor that is measured with a calorimeter. Data ranges and constraints are imposed to attain a reasonable, unique solution. Each loss component predicted by the inverse mapping inherently includes the contribution from stray load losses as it is fitted to the measured temperatures of the motor. Given the challenges, this inverse thermal routine achieves the loss segregation in a fairly good fashion.
- Subjects :
- 010302 applied physics
Power loss
Temperature measurement
Materials science
Losses
Calorimetric measurement
Iterative methods
Iterative method
020208 electrical & electronic engineering
Inverse
02 engineering and technology
Calorimetry
Mechanics
01 natural sciences
7. Clean energy
Induction motors
0103 physical sciences
Thermal
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Induction motor
Subjects
Details
- ISSN :
- 17518679 and 17518660
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IET Electric Power Applications
- Accession number :
- edsair.doi.dedup.....8c47a8d9fc05e51fdd15ce90dcc2b8ea