INDU2 - OTrace

Politicians and society agree: CO2 consumption in the mobility sector must be greatly reduced in order to achieve the climate protection goals that have been set. In public transport, the transition from diesel-powered vehicles to alternative drive systems is in full swing.

One challenge here is the range of the vehicles. On the software side, (driving) functions that use not only individual data but data from the entire fleet as well as external data sources offer great range potential. These can be outsourced to the cloud, thus reducing the computing power required in the vehicle.

Aim and approach

The aim is to increase the range of electric vehicles - in the project, city buses as an example - by sharing data from vehicles or vehicle fleets.

To this end, information from the vehicles is sent to the cloud and analyzed there in order to exploit energy-saving potential in the vehicle by means of new data-driven functions. Reduced energy consumption can increase the range of electric vehicles. In addition, learning processes and associated software functionalities are outsourced to the cloud. This outsourcing of calculations allows the saving of control units (or parts thereof) in the vehicle, which in turn reduces the cost per vehicle.

Vehicle fleet information in the cloud or an IoT platform can be analyzed to build learning and data-driven functionalities. Aggregation methods are to be used for information exchange to make the best use of communication bandwidth and provide the most comprehensive information possible in the cloud.