Data-driven State-of-Health prediction for reused batteries in new applications

The focus of the project is to create a methodology for State-of-Health (SOH) prediction for implementation in Conbat AB's future products. The project will generate cycling data for used batteries, which will be stored in an open database. Within the project, data-driven analysis methods (e.g.

AI) will be applied to the contents of the database, to estimate, and eventually predict, SOH for an ensemble of used batteries.

During the project, there is an opportunity to influence how modules are cycled and which aging scenarios are interesting for future applications. An initial sorting process with associated chemistry identification will also be developed and implemented.