SOURCE-LINKED INTELLIGENCE
Integrated Battery and Energy Management System for Second-Life Battery energy storage
ment system. It makes the raw battery cell measurements available for optimisation of the battery system’s charging strategy. The data are sent to Octave’s battery cloud, where it is used in advanced machine learning methods and digital twins of the cells are created to extract useful insights. This innovative technology opens up a range of improvements in the operation of the system such as optimal control, extended lifetime, improved monitoring and enables predictive maintenance. It is particularly useful for second-life battery storage. The goal of this project is to bring Octave’s product to the market by lifting the technological readiness from TRL 5 to 8 and prepare the go to market via the blended finance modality. Circular economy,Second-life battery cells,Battery cell degradation,Machine Learning,Big Data
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1012375
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.