Schwingungsanalyse zur Früherkennung von Maschinenfehlern in elektrischen Fahrzeugantrieben

Dräger, Florian

kassel university press, ISBN: 978-3-86219-539-8, 2014, 139 Pages

Zugl.: Kassel, Univ., Diss. 2014

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Content: In the future, the percentage of e-mobility related to individual transportation will increase. This estimation can be attributed to growing environmental, economic and social challenges. In addition to the scarcity of fossil fuels and climate change (which requires the reduction of the carbon dioxide emission), urbanization accelerates the development of local emission-free mobility concepts. In this context, the efficiency of conventional powertrains is enhanced by downsizing concepts. This includes intelligent motor control units, the application and optimization of turbo chargers and the reduction of the internal friction.

Moreover, the driving resistance is reduced continuously by lightweight construction and reduction of the specific air resistance. However, the described measures for emissions reduction exhibit limitations. For the local emission-free transport, the use of alternative drive concepts is essential. The new powertrain concepts include the use of new vehicle components such as the HV-battery, the inverter as well as the electric machine. The automotive use of electric machines leads to the necessity of the development of new approaches to monitoring. A well established approach for the detection of faults (such as asymmetries and bearing faults) is the acoustic monitoring.

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