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Efficient online-algorithm for the temperature cycle recording of an IGBT power module in a hybrid car during inverter operation

Titelangaben

Denk, Marco ; Bakran, Mark-M.:
Efficient online-algorithm for the temperature cycle recording of an IGBT power module in a hybrid car during inverter operation.
In: CIPS 2014 : 8th International Conference on Integrated Power Electronics Systems, proceedings. - Berlin : VDE-Verl. , 2014 . - S. 1-6
ISBN 978-3-8007-3578-5

Volltext

Link zum Volltext (externe URL): Volltext

Abstract

To improve the lifetime calculation accuracy of IGBT power modules in hybrid cars it is necessary to qualify and adjust the simulation-based load profiles through field studies with test vehicles. For this purpose an online-algorithm is presented, which enables the calculation and storage of all temperature cycles a power modul in a test vehicle is exposed to during inverter operation. Unique feature of the online-algorithm is a reduced computing power of 85 per cent and a lowered storage capacity of 99 per cent compared to a conventional algorithm used in desktop computers. Despite these major reductions the calculated lifetime of the power module deviates less than 1 per cent. The properties of the online-algorithm favor its implementation on the microcontroller of the control board and enable the simple determination of load profiles by field studies. Within this paper the function and the validation of the algorithm is outlined.

Weitere Angaben

Publikationsform: Aufsatz in einem Buch
Begutachteter Beitrag: Ja
Institutionen der Universität: Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik
Fakultäten > Fakultät für Ingenieurwissenschaften > Lehrstuhl Mechatronik > Lehrstuhl Mechatronik - Univ.-Prof. Dr.-Ing. Mark-M. Bakran
Fakultäten
Fakultäten > Fakultät für Ingenieurwissenschaften
Profilfelder > Emerging Fields > Energieforschung und Energietechnologie
Profilfelder
Profilfelder > Emerging Fields
Titel an der UBT entstanden: Ja
Themengebiete aus DDC: 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Eingestellt am: 18 Nov 2014 08:19
Letzte Änderung: 20 Jan 2023 08:44
URI: https://eref.uni-bayreuth.de/id/eprint/3334