Failure statistics for commercial lithium ion batteries: A study of 24 pouch cells

By S. Harris, David J. Harris, Chen Li. 2017

173 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/e332f07b5ea53bf3ebfa2172c75a317895f72f15

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

1. Richard D. Braatz
2. Aditya Grover
3. Stefano Ermon
4. William C. Chueh
5. Peter M. Attia

In Electrical and Electronic Engineering

1. Richard D. Braatz
2. Aditya Grover
3. Stefano Ermon
4. William C. Chueh
5. Peter M. Attia

In Safety, Risk, Reliability and Quality

1. Stefano Ermon

Citations in the corpus

• Closed-loop optimization of fast-charging protocols for batteries with machine learning (2020, background): “See Severson et al.(7) and Methods for additional details.”
• Review—"Knees" in Lithium-Ion Battery Aging Trajectories (2022, unknown): “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.”