Twin-Loop has been funded by the European Commission under the Horizon Europe Program, with a total budget of 5M €, the project involves a Consortium of 13 partners led by Mosaic Factor SL.
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Mission
In its 36 month duration, Twin-Loop will develop an Open Framework for TwinOps tailored for Electric Vehicles (EVs), along with a suite of digital tools that leverage High-Performance Computing (HPC) and real-time operational data to continuously optimize energy consumption, hardware costs, driver experience, and vehicle resiliency across all stages of the EV lifecycle.
Twin-Loop will leverage High-Performance Computing (HPC) and AI-driven analytics to enable real-time energy optimization and predictive maintenance.
Objectives
Develop an open framework for TwinOps in EVs
A flexible framework that manages Digital Twins full lifecycle. By connecting in-vehicle and cloud data, it enables real-time updates, boosts energy efficiency, and enhances performance.
Key features include battery monitoring, thermal management, and power forecasting—making EVs smarter, safer, and more sustainable.
Key features include battery monitoring, thermal management, and power forecasting—making EVs smarter, safer, and more sustainable.
Enhancing vehicle adaptability & driver experience
By adapting to each driver’s habits, preferences, and real-time conditions, the system personalizes the EV experience. Continuous learning and data-driven insights help fine-tune vehicle behavior, improving comfort, responsiveness, and usability—resulting in a smarter, more intuitive ride for every user.
Optimizing energy consumption
Using advanced digital twin technology, the project monitors and analyzes real driving conditions, vehicle usage, and system behavior. This enables smart energy management that reduces consumption while maintaining—or even enhancing—vehicle performance, comfort, and safety. The aim is to boost efficiency without sacrificing the driving experience.
Ensure market adoption & results transferability
With a strong focus on industry impact, the initiative aligns with EU priorities and actively involves key stakeholders. Its open, modular design ensures that tools, methods, and outcomes are ready for real-world application and easily transferable across different EV platforms—driving innovation and accelerating market uptake.
Challenges
Leveraging high-performance computing
TWIN-LOOP uses High-Performance Computing to process real-time vehicle and environmental data, instantly updating the Digital Twin for ongoing energy optimization, performance tuning, and predictive maintenance—right as the vehicle is on the road.
Enhancing digital twin accuracy & adaptability
A key challenge is keeping each Digital Twin aligned with its physical EV counterpart. By integrating live data and learning from vehicle behavior, the system adapts to driving patterns, wear, and environmental conditions—ensuring precision, responsiveness and personalization.
Ensuring cybersecurity & data integrity
With continuous data exchange between vehicles and the cloud, the project ensures security through Zero Trust architecture, strong encryption, real-time threat detection, and privacy-by-design principles to safeguard both system integrity and user trust.
Fostering strategic partnerships for market adoption
Active collaboration with industry leaders, research institutions, and EU initiatives ensures innovations alignment with market needs.
By building strong partnerships with strategic platforms the project maximizes the visibility, relevance, and transferability of results—paving the way for real-world impact and long-term adoption.
By building strong partnerships with strategic platforms the project maximizes the visibility, relevance, and transferability of results—paving the way for real-world impact and long-term adoption.