SNIC SUPR
Data-driven lead-acid battery lifetime prognostics
Dnr:

SNIC 2019/7-37

Type:

SNIC Small Compute

Principal Investigator:

Sergii Voronov

Affiliation:

Linköpings universitet

Start Date:

2019-05-29

End Date:

2020-06-01

Primary Classification:

10299: Other Computer and Information Science

Webpage:

Allocation

Abstract

The purpose of the given project to predict lifetime of lead-acid batteries which are used in the heavy-duty vehicles, based on vehicles' usage profiles. Machine learning techniques are used to model batteries' lifetime.