Fraunhofer Institute for Chemical Technology ICTData-driven, network-based smart energy management for a more sustainable and efficient electric mobility
The DiEMS research project is developing an intelligent energy management system for SOL Motors GmbH’s “Pocket Rocket” electric moped that simultaneously optimizes energy consumption and battery life. To this end, all available influencing factors will be recorded, linked, and analyzed.
The goal of the project is to develop a fully connected battery management system (BMS) for electric vehicles that improves range predictions and extends battery life.
The planned AI-based EMS is designed to determine the state of charge (SOC) and state of health (SOH) of the battery cells and link this information with other data such as vehicle, weather, and navigation information. The data for training and validating the AI will be collected through cell tests as well as virtual and real-world driving tests. The system developed in the project will then be integrated into a 48-V electric moped and tested there under real-world conditions.
The three-year project is funded by the Federal Ministry of Transport (BMV) with a total of 2 million euros as part of the mFUND innovation initiative.
Initially, extensive data for training AI-based battery models will be collected at the KIT test benches in Karlsruhe and at ANSMANN in Assamstadt. The actual BMS is being developed by ANSMANN and will subsequently be linked to the software developed by KIT for estimating the state of charge. A distinctive feature of DiEMS is the close integration of the BMS with an intelligent energy management system (i-EMS).
The Role of Fraunhofer ICT
Fraunhofer ICT’s vehicle models, combined with route planning and additional data such as weather forecasts, enable particularly precise range predictions. EnQS GmbH is responsible for the software architecture and the integration of the various components. At the same time, a user-friendly interface is being developed to address individual user needs.
The components—from battery level to range estimation—are first tested in simulations and on test benches before being integrated into a complete system. Finally, the system is installed in a SOL Motors moped and tested under real-world conditions.
