Lithium-ion cell-to-cell variation during battery electric vehicle operation

By Simon F. Schuster, M. Brand, Philipp Berg, Markus Gleissenberger, Andreas Jossen. 2015

297 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/1755446d63c3ffb9924fd326018aa4d69a77249f

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

Citations in the corpus

• 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.”