Environmental Impact and Sensor Technology Department

Abteilung Umweltwirkungen und Sensorik
Icon Environmental Effects and Sensor Technology Department

The Environmental Impact and Sensor Technology department deals with environmental impact and sustainability, the acoustics of electrified drives and sensor technology and advanced data analysis.

Research areas

Acoustics of Electrified Propulsion Systems

The research of the group Acoustics of Electrified Propulsion Systems is focused on the noise generated by the components of the electric or hybrid-electric powertrain, its interaction and potential noise reduction strategies. This includes both the air borne sound, which is radiated directly into the far-field, but also the structure borne sound that is transmitted into the cabin. To this end, analytical and numerical tools are developed in order to estimate and evaluate the generation and radiation of noise from key components such as electric machines, gear boxes and power electronics, and to allow for the development of low-noise technology. In short, the group will have access to an Acoustic Motor Test Stand, which enables detailed acoustic measurements for the validation of the models and the experimental assesment of noise from the electric power train and its psychoacoustic effects.

Sensor Technology and advanced Data Analysis

The work of the group Sensor Technology and advanced Data Analysis aims at the selection, operation and development of sensor technologies and corresponding advanced signal algorithms for detailled measurements on components of an electric or hybrid-electric power train, taking into account boundary conditions like vibrations, electro magnetic interference as well as pressure and temperature fluctuations. This enables future condition monitoring and maintenance of the electric power train using novel models for the prediction of efficiency, failure probability and life cycle, which will also make use of machine learning methods and artificial intelligence. The aim is the advancement and development of robust sensors and data analysis algorithms adapted to electric and hybrid-electric aircraft engines.