National Supercomputer Centre at Linköping University

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  3. SNIC 2019/7-37
Data-driven lead-acid battery lifetime prognostics
Title: Data-driven lead-acid battery lifetime prognostics
DNr: SNIC 2019/7-37
Project Type: SNIC Small Compute
Principal Investigator: Sergii Voronov <sergii.voronov@liu.se>
Affiliation: Linköpings universitet
Duration: 2019-05-29 – 2020-06-01
Classification: 10299
Keywords:

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.