Predictive Models of Li-ion Battery Lifetime
Conference
·
OSTI ID:1225318
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.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1225318
- Report Number(s):
- NREL/PR-5400-64622
- Resource Relation:
- Conference: Advanced Automotive Battery Conference;Detroit, MI; -
- Country of Publication:
- United States
- Language:
- English
Similar Records
Predictive Models of Li-ion Battery Lifetime (Presentation)
Degradation Mechanisms and Lifetime Prediction for Lithium-Ion Batteries -- A Control Perspective: Preprint
Experimental Aging and Lifetime Prediction in Grid Applications for Large-Format Commercial Li-Ion Batteries
Conference
·
Mon Sep 01 00:00:00 EDT 2014
·
OSTI ID:1225318
+3 more
Degradation Mechanisms and Lifetime Prediction for Lithium-Ion Batteries -- A Control Perspective: Preprint
Conference
·
Wed Jul 29 00:00:00 EDT 2015
·
OSTI ID:1225318
Experimental Aging and Lifetime Prediction in Grid Applications for Large-Format Commercial Li-Ion Batteries
Conference
·
Tue Jun 06 00:00:00 EDT 2023
·
OSTI ID:1225318
+2 more