Fleet data used for self-learning functions in commercial vehicles

The commercial and public transport vehicle sector is speeding up developments in the fields of electrification and automation. This paper focuses on electrified city buses and the connection of these with the cloud in order to create and deploy self-learning functions which help save energy in the vehicle. The two major energy consumers in the vehicle are the drivetrain and the heating, ventilation and air conditioning (HVAC). We propose the use of cloud resources and the use of fleet data to create cloud-based vehicle functions (CBVFs) that help improve efficiency of the HVAC and the drivetrain as an example.