AI-Driven Adaptive Propulsion System for Sustainable and Intelligent Urban E-Mobility

This cooperation opportunity invites partners to collaborate on an advanced AI-driven adaptive propulsion control system for urban electric vehicles (EVs). The project aims to significantly reduce EV energy consumption by intelligently managing the propulsion drive—the largest consumer of battery energy. Instead of focusing solely on battery technology, the approach introduces deep-learning-based adaptive control, multi-sensor fusion, V2X connectivity, and cybersecure control strategies to optimize powertrain behavior in real time.

Through reinforcement learning, LiDAR/GPS/traffic data fusion, and predictive estimation of environmental and driving conditions, the system aims to achieve 10–20% energy savings, extended battery life, smoother operation, and reduced CO₂ emissions. The research is leveraging unique infrastructure, including real-world sensorised test vehicles, advanced propulsion test benches, and hardware-in-the-loop environments.

The project aligns strongly with multiple Horizon-CL5 topics, especially those focused on:

• Digital and AI-enhanced propulsion optimisation

• Urban mobility efficiency and sustainability

• Next-generation EV drivetrains and power electronics

• Integration of sensing, V2X, and cybersecure control frameworks

We seek collaboration with:

• Automotive OEMs and Tier-1 suppliers

• AI, data analytics, and sensor-fusion specialists

• Cybersecurity experts in mobility

• Smart city ecosystem partners

• Universities and R&D labs working on EVs, CPS, or intelligent mobility

This cooperation aims to accelerate innovation in energy-efficient, intelligent, and connected electric mobility, supporting Horizon Europe goals for climate neutrality, digitalisation, and sustainable transport.