Imagine a battery system that combines a sprinter for quick bursts of power and a marathon runner for long-term energy. This project builds a smart controller that decides which one to use to keep the power grid steady and charge electric cars faster. It also includes a digital twin, which is like a virtual mirror that predicts when the system needs a tune-up before it actually breaks.
Electrical grids and EV charging stations struggle with power instability and battery degradation. Current storage systems often fail to balance the need for immediate high power and long-term energy capacity efficiently.
A hybrid energy storage system (HESS) with high-energy and high-power modules, a Digital Twin for predictive maintenance, and cognitive power converters.
If you are a grid operator dealing with unstable power flows from renewables — this project developed a hybrid storage system that provides multiple ancillary services to support the electrical grid. It optimizes the balance between high-power and high-energy assets to reduce aging stress.
If you are a charging network provider dealing with peak demand spikes that overload local transformers — this project developed a modular storage solution that supports EV charging infrastructure. This helps manage power shares and reduces the cost of infrastructure upgrades.
If you are an ESS integrator dealing with high maintenance costs and unpredictable battery degradation — this project developed a Digital Twin and a Modular Design Platform. This allows you to predict performance and manage second-life battery modules more efficiently.
Based on available project data, specific pricing is not provided, but the project aims to optimize CAPEX and OPEX through a modular and scalable design.
The project aims to demonstrate the system up to TRL 7 in 3 physical and 2 virtual use-cases, indicating it is moving toward industrial scale validation.
Based on available project data, the consortium includes 7 industrial partners and 4 SMEs, but specific licensing terms are not detailed in the summary.
The system uses optimized power conversion devices with cognitive functionalities and advanced control systems to provide multi-service provisioning to the electrical grid.
The project period runs from 2024-01-01 to 2027-12-31, with a focus on maximizing market uptake after this duration.
The consortium is heavily weighted toward commercial application, with 7 industrial partners (including 4 SMEs), representing a 47% industry ratio. This balance between 5 research entities and 7 companies suggests a strong focus on market viability and industrial deployment rather than pure academic research. The geographical spread across 12 countries, including non-EU partners like India and Morocco, indicates a strategy for global market penetration.
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