Daimler is one of the world's leading automotive corporations. Daimler researchers use state of the art technologies to pursue research challenges in various fields.

One area covered in this Daimler session is the after-sales business of Mercedes-Benz car workshops. To improve customer satisfaction and after-sales intelligence, the retrieval system process is evaluated and optimized. Another focus of Daimler research is the improvement of interoperability between OEM- and supplier development processes by incorporating open lightweight data formats to be used in CAD development environments. Other fields with technological challenges can be found within the powertrain development. In this session the transmission branch is represented by a presentation that focuses on new methods to reduce and optimize calibration efforts during the development of powertrain systems by means of novel adaptive control system design. Continuing on the topic reducing calibration efforts and time, the engine division presents a method to implement 'Design of Experiments'-Tools more effectively. By introducing a Support Vector Machine based technique for design space exploration, an accurate multidimensional space can be established that is available for all calibration activities.

Chairs

• Jan Werrmann