DocumentCode :
2809591
Title :
Lumped parameter modeling as a predictive tool for a battery status monitor
Author :
Christophersen, Jon P. ; Motloch, Chester G. ; Ho, Chinh D. ; Battaglia, Vincent S. ; Morrison, John L. ; Fenton, Ronald C. ; Duong, Tien Q.
Author_Institution :
Dept. of Transp. Technol. & Infrastructure, Idaho Nat. Eng. & Environ. Lab., Idaho Falls, ID, USA
Volume :
5
fYear :
2003
fDate :
6-9 Oct. 2003
Firstpage :
3257
Abstract :
The Advanced Technology Development Program is currently evaluating the performance of the second generation of lithium-ion cells (i.e., Gen 2 cells). Both the Gen 2 Baseline and Variant C cells are tested in accordance with the cell-specific test plan, and are removed at roughly equal power fade increments and sent for destructive diagnostic analysis. The diagnostic laboratories did not need all test cells for analysis, and returned five spare cells to the Idaho National Engineering and Environmental Laboratory (INEEL). INEEL used these cells for special pulse testing at various duty cycles, amplitudes, and durations to investigate the usefulness of the lumped parameter model as a predictive tool in a battery status monitor. The lumped parameter model is a simplified linear model that accurately predicts the voltage response during certain pulse conditions. A database of parameter trends should enable dynamic predictions of state-of-charge and state-of-health conditions during in-vehicle pulsing. This information could be used by the battery status monitor to provide accurate information to the vehicle control system.
Keywords :
battery management systems; hybrid electric vehicles; lithium; secondary cells; Advanced Technology Development Program; Gen 2 Baseline cell; Idaho National Engineering and Environmental Laboratory; Li; Variant C cell; battery status monitor predictive tool; cell-specific test plan; destructive diagnostic analysis; hybrid electrical vehicle; in-vehicle pulsing; linear model; lithium-ion cell; lumped parameter modeling; pulse testing; vehicle control system; voltage response prediction; Aging; Battery powered vehicles; Chemistry; Condition monitoring; Contacts; Electrodes; Power engineering and energy; Predictive models; Testing; US Department of Energy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th
ISSN :
1090-3038
Print_ISBN :
0-7803-7954-3
Type :
conf
DOI :
10.1109/VETECF.2003.1286255
Filename :
1286255
Link To Document :
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