Machine Learning-Assisted Forecasting of Thermal Events in Rechargeable Batteries
Abstract
Li-ion batteries (LIBs) have become ubiquitous in both civilian and Department of Defense (DoD) applications, spanning from portable electronic devices and electric vehicles to advanced military equipment. Given their pervasive utilization, rigorous safety measures are imperative to safeguard both general and specialized users from potential electrochemical instabilities and subsequent hazards.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2025
- Source ID
- FA95502410164
Entities
People
- Vitaliy Yurkiv
Organizations
- Air Force Office of Scientific Research
- Office of the Secretary of Defense
- University of Arizona