TWAICE predictive analytics and digital twin ecosystem to optimise and automate batteries second life and re-usebroad
Predictive Battery Analytics · Horizon Europe grant · 2022-10-01–2024-09-30
EC contribution
Total cost
Beneficiaries
About the data
Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2022-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2022-ACCELERATORCHALLENGES-02. CORDIS record →
Objective
Our solution solves the major cost and safety problems posed by batteries. TWAICEs predictive battery analytics platform can be implemented at all stages of the battery value chain, optimizing processes such as development, operation and re-use (second life). There is a substantial lack of transparency in Li-ion batteries, a problem which can lead to overly high development and operation costs and pose safety risks. Our software addresses this problem by empowering customers to better understand their batteries. They can obtain precise diagnoses and prognoses on battery health and remaining lifetimes, using this information to inform their strategic operational decisions. Underpinned by digital twin technology, we combine battery knowledge with artificial intelligence and machine learning to solve the specific customer needs mainly in the energy and mobility sector. Wherever it is applied, our solution will make significant contributions to reducing CO2 and ensuring a greener future.
Beneficiaries (1)
| Organisation | Country | Role | EC contribution | SME |
|---|---|---|---|---|
| TWAICE TECHNOLOGIES GMBH | DE | coordinator | €2,163,875 | Yes |
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