@misc{feb8036595f1427ab8c7587daf437ef5,
title = "Predictive Models of Li-ion Battery Lifetime: NREL (National Renewable Energy Laboratory)",
abstract = "It remains an open question how best to predict real-world battery lifetime based on accelerated calendar and cycle aging data from the laboratory. Multiple degradation mechanisms due to (electro)chemical, thermal, and mechanical coupled phenomena influence Li-ion battery lifetime, each with different dependence on time, cycling and thermal environment. The standardization of life predictive models would benefit the industry by reducing test time and streamlining development of system controls.",
keywords = "battery, battery life, CRADAS, life predictive model",
author = "Kandler Smith and Eric Wood and Shriram Santhanagopalan and Gi-Heon Kim and Ying Shi and Ahmad Pesaran and Gi-Heon Kim",
year = "2015",
language = "American English",
series = "Presented at the Advanced Automotive \& Industrial/Stationary Battery Conference, 15-19 June 2015, Detroit, Michigan",
type = "Other",
}