2015
DOI: 10.1016/j.enconman.2015.01.065
|View full text |Cite
|
Sign up to set email alerts
|

Conjugate heat transfer analysis of an energy conversion device with an updated numerical model obtained through inverse identification

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 10 publications
(2 citation statements)
references
References 16 publications
0
2
0
Order By: Relevance
“…A three-phase PMSM, based on axial flux technology, that can be used in conjunction with custom-built or standard industrial inverters is shown in Figure 1a. Designed AFPMSMs combine high performance with reduced weight and size that are ideal for electric and hybrid electric vehicles [27][28][29]. These machines are characterized by the following key features: high torque and power density, low cogging torque, compact design with flat front and back faces for easy mounting, a through shaft, an integrated resolver for rotor position feedback; liquid cooling for enhanced performance.…”
Section: Experimental Measurementmentioning
confidence: 99%
“…A three-phase PMSM, based on axial flux technology, that can be used in conjunction with custom-built or standard industrial inverters is shown in Figure 1a. Designed AFPMSMs combine high performance with reduced weight and size that are ideal for electric and hybrid electric vehicles [27][28][29]. These machines are characterized by the following key features: high torque and power density, low cogging torque, compact design with flat front and back faces for easy mounting, a through shaft, an integrated resolver for rotor position feedback; liquid cooling for enhanced performance.…”
Section: Experimental Measurementmentioning
confidence: 99%
“…This is especially useful for the calculation of losses in the rotor and the stator, as well as for quantifying important phenomena such as saturation, proximity and skin effects [14] etc. Heat transfer and computational fluid dynamic (CFD) models are also constructed to predict the temperature of machine components [15,16].…”
Section: D Fe Modellingmentioning
confidence: 99%