Lumped Parameter Modeling as a Predictive Tool for a Battery Status Monitor

Conference · Wed Oct 01 04:00:00 EDT 2003

DOI:https://doi.org/10.1109/VETECF.2003.1286255· OSTI ID:910791

Christophersen, Jon P; Motloch, Chester G; Ho, Chinh D; Morrison, John L; Fenton, Ronald C; Battaglia, Vincent S; Duong, Tien Q

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 (LPM) as a predictive tool in a battery status monitor (BSM). The LPM 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 BSM to provide accurate information to the vehicle control system.

• Research Organization: Idaho National Laboratory (INL)
• Sponsoring Organization: DOE - EE
• DOE Contract Number: AC07-99ID13727
• OSTI ID: 910791
• Report Number(s): INEEL/CON-03-00348
• Country of Publication: United States
• Language: English

Related Subjects

25 ENERGY STORAGE
AMPLITUDES
Advanced Technology Development
CONTROL SYSTEMS
INEEL
MONITORS
PERFORMANCE
SIMULATION
TESTING
battery status monitor
lithium-ion batteries
lumped parameter model