Projects per year
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.
Original language | English |
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Article number | 109861 |
Journal | Data in Brief |
Volume | 52 |
Number of pages | 8 |
ISSN | 2352-3409 |
DOIs | |
Publication status | Published - Feb 2024 |
Bibliographical note
© 2023 The Author(s).Keywords
- Battery
- Lithium-ion
- Degradation
- Cycle ageing
- Forklift operation
Fingerprint
Dive into the research topics of 'Dataset of Lithium-ion battery degradation based on a forklift mission profile for state-of-health estimation and lifetime prediction'. Together they form a unique fingerprint.Projects
- 1 Finished
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Cloud BMS: Cloud BMS - The new generation of intelligent battery management systems
Stroe, D., Kær, S. K. & Vilsen, S. B.
01/01/2018 → 31/12/2021
Project: Research
Datasets
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Lithium-ion battery degradation dataset based on a realistic forklift operation profile
Vilsen, S. B. (Creator) & Stroe, D. (Creator), Mendeley Data, 29 Aug 2023
Dataset