In the course of the project a comprehensive data capture and processing infrastructure was created as a central element. As such, a platform is now available for numerous evaluations and analyses using modern methods of artificial intelligence. It was also possible to implement basic tools for the pre-processing, preparation and interpretation of data.
Various software packages, so-called logic modules, were linked to the database for working on and evaluating the data. As a first step, an application was developed for decoding the vehicle-specific CAN bus data into individual measurements suitable for further processing. In other modules, the GPS coordinates together with the recorded geo-information are used to depict the route travelled on existing maps. Another logic module separates the vehicles’ continually logged data into distances travelled, times spent parked up and charging and changes in the state of charge. The aim is to produce forecasts for usage and charging cycles.
Further specific applications and visualisations can also be found downstream of the database. The function of these tools is to present the data generated in the logic modules. Data can be accessed for this via a web back-end’s interface and then displayed on the web front-end. This also makes it possible to use these tools on mobile devices.