Period: 2025-2027

Funding: Hessian Ministry of Digitalization and Innovation, Program Line 4A “Validation Projects / Spin-offs”

Motivation:

Uncoordinated charging of electric truck and bus fleets overloads the grid, raises energy costs and wastes renewable power. The StoLaNKI project builds an AI-driven, real-time energy management system that optimizes charging and bidirectional power flows, turns fleets into flexible storage assets and cuts electricity bills by up to 40 % while saving large amounts of CO₂.

The project is rooted in academic research from TU Darmstadt, where real-world data simulations already demonstrated how charging behavior can be adjusted to lower prices and grid load. By intelligently shifting energy demand and integrating grid signals, StoLaNKI creates a digital foundation for sustainable fleet operations – enabling economic benefits and decarbonization at the same time. It bridges the mobility and electricity sectors with practical, scalable innovation.

Project goals

• Develop and bring a cloud-based real-time EMS to market readiness – modular, scalable and interoperable
• Fuse depot IT, traffic data, vehicle telemetry and power-market prices into autonomous charging/V2G algorithms
• Demonstrate in pilot fleets with real operating data: ≥ 40 % energy and CO₂ savings
• Enable explainability via reasoning agents (LLM-based) to support operational staff and fleet managers
• Prepare a training concept and a scalable SaaS operating model – applicable for operators, energy suppliers, TSOs/DSOs and software partners
• Build secure interfaces (OCPP 2.1, ISO 15118-20) and meet modern cybersecurity requirements
• Prepare a training concept and a scalable SaaS operating model