Predictive Battery Analyt...
Financiado
TWAICE predictive analytics and digital twin ecosystem to optimise and automate...
TWAICE predictive analytics and digital twin ecosystem to optimise and automate batteries second life and re-use
Our solution solves the major cost and safety problems posed by batteries. TWAICE’s predictive battery analytics platform can be implemented at all stages of the battery value chain, optimizing processes such as development, opera...
Our solution solves the major cost and safety problems posed by batteries. TWAICE’s 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.
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Duración del proyecto: 24 meses
Fecha Inicio: 2022-09-13
Fecha Fin: 2024-09-30
Fecha Fin: 2024-09-30
Línea de financiación: concedida
El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-09-30
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
Presupuesto
El presupuesto total del proyecto asciende a
3M€
Líder del proyecto
TWAICE TECHNOLOGIES GMBH
No se ha especificado una descripción o un objeto social para esta compañía.
