Production caused variation in capacity aging trend and correlation to initial cell performance
By Thorsten Baumhöfer, M. Brühl, S. Rothgang, Dirk Uwe Sauer. 2014
395 citations recorded by the source corpus.
Subfields: Automotive Engineering, Control and Systems Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/772b8701ba5b7d1dbca2af4e31bdaa0b1668a9a4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- David A. Howey
- Weihan Li
- Philipp Dechent
- N. Sengupta
- Anuradha M. Annaswamy
- Dirk Uwe Sauer
- Richard D. Braatz
- Aditya Grover
In Control and Systems Engineering
In Electrical and Electronic Engineering
- David A. Howey
- Weihan Li
- Philipp Dechent
- N. Sengupta
- Anuradha M. Annaswamy
- Dirk Uwe Sauer
- Richard D. Braatz
- Aditya Grover
Citations in the corpus
- A Review on Battery Market Trends, Second-Life Reuse, and Recycling (2021, background): “The cell to cell heterogeneity was reported, as expected, to increase as the cell ages [130].”
- Failure statistics for commercial lithium ion batteries: A study of 24 pouch cells (2017, background): “In one of a relatively few14-15, 27, 43-45 published studies looking at a large number of individually tested cells, Baumhofer et al14 analyzed the capacity fade of 48 commercially available carbon-NMC Sanyo/Panasonic UR18650E cylindrical cells.”
- Closed-loop optimization of fast-charging protocols for batteries with machine learning (2020, background): “Furthermore, both large parameter spaces and high sampling variability 3,6,7 necessitate a large number of experiments.”
- Review—"Knees" in Lithium-Ion Battery Aging Trajectories (2022, neutral): “Baumhöfer et al. 151 and Harris et al. 152 studied this type of variation in 48 cells and 24 cells, respectively, fi nding widely varying knee locations across their datasets (Fig.”
- Online capacity estimation of lithium-ion batteries with deep long short-term memory networks (2021, methodology): “The dataset used in this work was gathered from in-house experiments at ISEA, RWTH Aachen University, on 48 Sanyo/Panasonic UR18650E cells manufactured in the same batch and labeled the same grade by the manufacturer, as per [41].”