Thermal models of electric machines with dynamic workloads
Electric powertrains are increasingly used in off-highway machines because of easy controllability and excellent overall efficiency. The main goals are increasing the energy efficiency of the machine and the optimization of the work process. The thermal behaviour of electric machines with dynamic wo...
Main Authors: | , |
---|---|
Format: | Article |
Language: | deu |
Published: |
Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V.
2015-07-01
|
Series: | Landtechnik |
Online Access: | http://www.landtechnik-online.eu/ojs-2.4.5/index.php/landtechnik/article/view/2664 |
id |
doaj-73b7d4bff3cc4cffb7ae6ea80cd19a1e |
---|---|
record_format |
Article |
spelling |
doaj-73b7d4bff3cc4cffb7ae6ea80cd19a1e2021-04-02T12:18:51ZdeuKuratorium für Technik und Bauwesen in der Landwirtschaft e. V.Landtechnik0023-80822015-07-0170410.15150/lt.2015.26642665Thermal models of electric machines with dynamic workloadsChristian PohlandtMarcus GeimerElectric powertrains are increasingly used in off-highway machines because of easy controllability and excellent overall efficiency. The main goals are increasing the energy efficiency of the machine and the optimization of the work process. The thermal behaviour of electric machines with dynamic workloads applied to is a key design factor for electric powertrains in off-highway machines. This article introduces a methodology to model the thermal behaviour of electric machines. Using a noncausal modelling approach, an electric powertrain is analysed for dynamic workloads. Cause-effect relationships and reasons for increasing temperature are considered as well as various cooling techniques. The validation of the overall simulation model of the powertrain with measured field data workloads provides convincing results to evaluate numerous applications of electric machines in off-highway machines.http://www.landtechnik-online.eu/ojs-2.4.5/index.php/landtechnik/article/view/2664 |
collection |
DOAJ |
language |
deu |
format |
Article |
sources |
DOAJ |
author |
Christian Pohlandt Marcus Geimer |
spellingShingle |
Christian Pohlandt Marcus Geimer Thermal models of electric machines with dynamic workloads Landtechnik |
author_facet |
Christian Pohlandt Marcus Geimer |
author_sort |
Christian Pohlandt |
title |
Thermal models of electric machines with dynamic workloads |
title_short |
Thermal models of electric machines with dynamic workloads |
title_full |
Thermal models of electric machines with dynamic workloads |
title_fullStr |
Thermal models of electric machines with dynamic workloads |
title_full_unstemmed |
Thermal models of electric machines with dynamic workloads |
title_sort |
thermal models of electric machines with dynamic workloads |
publisher |
Kuratorium für Technik und Bauwesen in der Landwirtschaft e. V. |
series |
Landtechnik |
issn |
0023-8082 |
publishDate |
2015-07-01 |
description |
Electric powertrains are increasingly used in off-highway machines because of easy controllability and excellent overall efficiency. The main goals are increasing the energy efficiency of the machine and the optimization of the work process. The thermal behaviour of electric machines with dynamic workloads applied to is a key design factor for electric powertrains in off-highway machines. This article introduces a methodology to model the thermal behaviour of electric machines. Using a noncausal modelling approach, an electric powertrain is analysed for dynamic workloads. Cause-effect relationships and reasons for increasing temperature are considered as well as various cooling techniques. The validation of the overall simulation model of the powertrain with measured field data workloads provides convincing results to evaluate numerous applications of electric machines in off-highway machines. |
url |
http://www.landtechnik-online.eu/ojs-2.4.5/index.php/landtechnik/article/view/2664 |
work_keys_str_mv |
AT christianpohlandt thermalmodelsofelectricmachineswithdynamicworkloads AT marcusgeimer thermalmodelsofelectricmachineswithdynamicworkloads |
_version_ |
1721569476030234624 |