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Title: Advanced Models and Controls for Prediction and Extension of Battery Lifetime (Presentation)

Predictive models of capacity and power fade must consider a multiplicity of degradation modes experienced by Li-ion batteries in the automotive environment. Lacking accurate models and tests, lifetime uncertainty must presently be absorbed by overdesign and excess warranty costs. To reduce these costs and extend life, degradation models are under development that predict lifetime more accurately and with less test data. The lifetime models provide engineering feedback for cell, pack and system designs and are being incorporated into real-time control strategies.
Authors:
; ; ; ;
Publication Date:
OSTI Identifier:
1114881
Report Number(s):
NREL/PR-5400-61037
DOE Contract Number:
AC36-08GO28308
Resource Type:
Conference
Resource Relation:
Conference: Presented at the 2014 Large Lithium Ion Battery Technology & Application Symposia Advanced Automotive Battery Conference, 4 - 6 February 2014, Atlanta, Georgia; Related Information: NREL (National Renewable Energy Laboratory)
Research Org:
National Renewable Energy Laboratory (NREL), Golden, CO.
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy Vehicle Technologies Office
Country of Publication:
United States
Language:
English
Subject:
25 ENERGY STORAGE LITHIUM ION BATTERY; ELECTRIC VEHICLE; LIFETIME; MODELING; CONTROL