Data-driven analysis on thermal effects and temperature changes of lithium-ion battery

Title
Data-driven analysis on thermal effects and temperature changes of lithium-ion battery
Authors
Keywords
Lithium ion battery, Thermal effect, Machine learning, Heat generation, Temperature prognostic
Journal
JOURNAL OF POWER SOURCES
Volume 482, Issue -, Pages 228983
Publisher
Elsevier BV
Online
2020-09-30
DOI
10.1016/j.jpowsour.2020.228983

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started