Title
A Wirelessly-Powered Embedded System for Temperature Measurements of a High Performance Electric Motor Rotor
Abstract
Thermal analysis is one of the key aspects in the design and implementation of an electric motor, since many important aspects such as performance, safety and durability are associated to it. Consequently, especially in high performance motors, thermal simulation is a crucial step in the motor development process. Simulations are based on models that are related to a considerable amount of parameters that must be set and calibrated on the basis of the design of the motor, such as: non-ideality of materials, variables in the assembly, etc. In order to achieve maximum accuracy and avoid calibration errors in the model, it can be useful to validate the simulation results and parameters with data acquired from experimental evidences. While it is straightforward to acquire experimental data about the stator, performing temperature measurements of the rotating part of the motor is extremely complex, and a great variety of critical aspects has to be taken into account, including data transmission to a central processing unit. This paper introduces a measurement system with a data Acquisition Board which is purposely embedded in the shaft and can integrate at most 6 type-K thermocouples to digital converters for temperature measurements, with a sampling frequency greater than 30 Hz and a typical accuracy of $\pm 2^{\circ}\text{C}$ in the range from $0^{\circ}\text{C}$ up to 250° C.
Year
DOI
Venue
2022
10.1109/MetroAutomotive54295.2022.9855040
2022 IEEE International Workshop on Metrology for Automotive (MetroAutomotive)
Keywords
DocType
ISBN
electric motor rotor,thermal analysis,safety,thermal simulation,motor development process,calibration errors,data transmission,central processing unit,data acquisition board,wirelessly-powered embedded system,temperature measurement system,type-K thermocouples,digital converters,temperature 0 degC to 250 degC
Conference
978-1-6654-6690-5
Citations 
PageRank 
References 
0
0.34
1
Authors
6
Name
Order
Citations
PageRank
Mariano Nerone100.34
Igor Valič200.34
Matteo Zauli300.34
Alberto Leonardi400.34
Nicola Matteazzi510.96
Luca De Marchi600.34