KIT | KIT-Bibliothek | Impressum | Datenschutz

Optimization potentials of the transverse flux machine over the product life cycle

Schmid, Martin; Schurr, Julian; Brandl, Lukas; Sauerwald, Ralf; Knecht, Simon ORCID iD icon; Nöller, Marcel ORCID iD icon 1; Yu, Yongxin; Parspour, Nejila; Gauterin, Frank ORCID iD icon 2; Goll, Dagmar; Reuss, Hans-Christian; Albers, Albert 1; Bause, Katharina 1
1 Institut für Produktentwicklung (IPEK), Karlsruher Institut für Technologie (KIT)
2 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

This study focuses on improving the performance and reliability of a transverse flux machine (TFM) for automotive applications over the whole product life cycle. TFMs offer high torque density but present challenges in electromagnetic design, cooling, and vibration control. To address these issues, different measures like additive manufacturing, sensor integration, and optimization techniques are explored and evaluated. By incorporating sensors for real-time data collection during operation and integrating structural improvements during development, TFMs can achieve higher efficiency and reliability. This study gives an overview over several topics which have been researched in 2 projects, each of which consists of 3 participating institutions. It explores the integration of vibration sensors/actuators and temperature sensors. Additionally, additive manufacturing techniques are utilized for manufacturing of soft magnetic components to reduce eddy current losses and optimize the cooling. The findings demonstrate the potential of these approaches to enhance TFMs for automotive use, and further research is recommended to assess their durability and applicability under real-world conditions.


Volltext §
DOI: 10.5445/IR/1000164338
Veröffentlicht am 14.11.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Institut für Produktentwicklung (IPEK)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2023
Sprache Englisch
Identifikator ISSN: 2194-1629
KITopen-ID: 1000164338
Verlag Karlsruher Institut für Technologie (KIT)
Umfang 10 S.
Serie KIT Scientific Working Papers ; 236
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page