2020
DOI: 10.1149/1945-7111/abae37
|View full text |Cite
|
Sign up to set email alerts
|

Degradation of Commercial Lithium-Ion Cells as a Function of Chemistry and Cycling Conditions

Abstract: Energy storage systems with Li-ion batteries are increasingly deployed to maintain a robust and resilient grid and facilitate the integration of renewable energy resources. However, appropriate selection of cells for different applications is difficult due to limited public data comparing the most commonly used off-the-shelf Li-ion chemistries under the same operating conditions. This article details a multi-year cycling study of commercial LiFePO4 (LFP), LiNixCoyAl1−x−yO2 (NCA), and LiNixMnyCo1−x−yO2 (NMC) ce… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
132
0

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1
1

Relationship

2
7

Authors

Journals

citations
Cited by 320 publications
(171 citation statements)
references
References 47 publications
4
132
0
Order By: Relevance
“…Additionally, the metrics for lifetime are not standardized, and conclusions about lifetime performance are generally dependent on the choice of metrics used (e.g., relative vs. absolute capacity or energy; see Figures 1b-1c). Furthermore, battery degradation is often nonlinear [8][9][10] ; therefore, using a single parameter from a linear fit (e.g., the slope) to represent nonlinear aging trends must be handled with care. Despite these challenges, standardized reporting and visualization of these parameters is still useful for both fundamental understanding and practical concerns such as cell selection.…”
Section: B) C)mentioning
confidence: 99%
“…Additionally, the metrics for lifetime are not standardized, and conclusions about lifetime performance are generally dependent on the choice of metrics used (e.g., relative vs. absolute capacity or energy; see Figures 1b-1c). Furthermore, battery degradation is often nonlinear [8][9][10] ; therefore, using a single parameter from a linear fit (e.g., the slope) to represent nonlinear aging trends must be handled with care. Despite these challenges, standardized reporting and visualization of these parameters is still useful for both fundamental understanding and practical concerns such as cell selection.…”
Section: B) C)mentioning
confidence: 99%
“…Many studies have already dealt with the degradation principle of battery cells during operation. We based the lifespan estimation at the battery cells aging principles in storage on the knowledge from studies [42,44,45]. A look at the aging of the battery cell, which most authors agreed on, is the possibility of dividing the aging of the battery into two independent principles according to the following equation:…”
Section: Second Life Lifespan Estimationmentioning
confidence: 99%
“…Concerning the function above, we decided to use the EFC discharge capacity retention methodology for NMC battery cells described by Yuliya Preger et al [44] to determine the cyclic degradation's final contribution to the overall capacity fade.…”
Section: Second Life Lifespan Estimationmentioning
confidence: 99%
“…The Battery Archive site was released in September 2020 and currently includes battery cycling data from the Center for Advanced Life Cycle Engineering (CALCE) 15,16 , the Hawaii Natural Energy Institute (HNEI) 17 , Oxford University (OX) 18,19 , and Sandia National Laboratories (SNL). 20 We are in the process of uploading data from Purdue University 21 , University College London (UCL) 22 , UC Berkeley (CAL) 23 , and NASA. 24 Various other datasets are in the pipeline.…”
Section: Example Implementation: Batterymentioning
confidence: 99%