Source: SOL Motors, EnQS

The LEVA-EU member is providing its innovative e-mopeds for the DiEMS project, working with ANSMANN AG, the Karlsruhe Institute of Technology (KIT), the Fraunhofer ICT and EnQS GmbH to develop a fully connected battery management system (BMS) for optimising electric vehicle energy management.

The DiEMS project is being supported by the German Federal Ministry of Transport (BMV) with funding of 2 million euros, as part of the mFUND innovation initiative, which facilitates data-driven R&D projects for improving digital and connected mobility of the future.

It will last until January 2029, as it aims to innovate a fully connected battery management system for optimising range predictions and maximising battery life.

SOL Motors stated that components, from charge level to range estimated, are in simulation and test bench testing scenarios before being combined to create an overall system. Then the system will be integrated into its mopeds for testing under real life-conditions.

Smart battery and energy management systems with AI

At the beginning, comprehensive data for educating AI-based battery models will be compiled at KIT and ANSMANN test benches, at their respective locations in Karlsruhe and Assamstadt in Germany.

Battery producer ANSMANN will develop the battery management system, which will be integrated with KIT’s estimation software.

The intelligent BMS energy management system application

The DiEMS project will use vehicle models from Fraunhofer ICT, alongside route planning, with other data, including weather forecasts, to help formulate precise range predictions. EnQS has responsibility for the software’s architecture, an ergonomic user-friendly interface, and integration with various components.

EnQS has stated that the DiEMS project will help to optimise its battery control expertise for software development beyond the project for home energy management systems, such as extending the lifespan of energy storage systems with the ability to adjust charging and discharging power by state of charge (SOC) and state of health (SOH).