@misc{a39f5edbbb0c43449857b1cec3e97bf4,
title = "Predictive Battery Lifetime Modeling at the National Renewable Energy Laboratory",
abstract = "Overview of the development of algebraic battery lifetime modeling efforts within NREL's Electrochemical Energy Storage group within the Energy Conversion and Storage Systems Center. Traditional approaches to developing battery lifetime models are compared with a new methodology incorporating machine learning to autonomously identify parsimonious model equations.",
keywords = "aging, battery, lifetime, machine-learning, prediction",
author = "Paul Gasper and Kandler Smith",
year = "2021",
language = "American English",
series = "Presented at the Battery Modeling Webinar Series, 1 June 2021",
type = "Other",
}
