Dataset of lithium-ion battery degradation based on a forklift mission profile for state-of-health estimation and lifetime prediction

Søren B Vilsen; Daniel-Ioan Stroe

doi:10.1016/j.dib.2023.109861

Dataset of lithium-ion battery degradation based on a forklift mission profile for state-of-health estimation and lifetime prediction

Data Brief. 2023 Nov 27:52:109861. doi: 10.1016/j.dib.2023.109861. eCollection 2024 Feb.

Authors

Søren B Vilsen¹, Daniel-Ioan Stroe²

Affiliations

¹ Department of Mathematical Sciences, Aalborg University, Aalborg East, 9220, Denmark.
² Daniel-Ioan Stroe: Department of Energy, Aalborg University, Aalborg East, 9220, Denmark.

Abstract

Lithium-ion (Li-ion) batteries are becoming an increasingly integral part of modern society, through consumer electronics, stabilisation of the electric grid, and electric vehicles. However, Lithium-ion batteries degrade in effectiveness over time; a degradation which is extremely dependent on the usage of the battery. Therefore, to study how a battery cell degrades under dynamic conditions, a realistic load profile was constructed based on the operation of forklifts. This profile was used to age three Lithium-ion battery cells at 45, 40, and 35°C and the response of the cells was measured on a second-by-second basis. Periodically the ageing was halted to perform a reference test of the cells allowing for the tracking of their degradation.

Keywords: Battery; Cycle ageing; Degradation; Forklift operation; Lithium-ion.