The purpose of this software is estimate the useable life of rechargeable batteries (e.g., lithium-ion). The software employs a generalized statistical approach to model cell data in the context of accelerated aging experiments. The cell performance is modeled in two parts. The first part consists of a deterministic degradation model which models the average cell behavior. The second part relates to the statistical variation in performance of the cells (error model). Experimental data from an accelerated aging experiment will be input from an Excel worksheet. The software will then query the user for a specific model form (within the generalized model framework). Model parameters will be estimated by the software using various statistical methodologies. Average cell life will be predicted using the estimated model parameters. The uncertainty in the estimated cell life will also be computed using bootstrap simulations. This software can be used in several modes: 1) fit only, 2) fit and simulation, and 3) simulation only
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Thomas, Edward, Bloom, Ira, Battaglia, Vincent, and & Christopherson, Jon. Battery Life Estimator (BLE) Data Analysis Software v. 1.2.
Computer software. Version 00. February 24, 2010.
@misc{osti_1231319,
title = {Battery Life Estimator (BLE) Data Analysis Software v. 1.2, Version 00},
author = {Thomas, Edward and Bloom, Ira and Battaglia, Vincent and & Christopherson, Jon},
abstractNote = {The purpose of this software is estimate the useable life of rechargeable batteries (e.g., lithium-ion). The software employs a generalized statistical approach to model cell data in the context of accelerated aging experiments. The cell performance is modeled in two parts. The first part consists of a deterministic degradation model which models the average cell behavior. The second part relates to the statistical variation in performance of the cells (error model). Experimental data from an accelerated aging experiment will be input from an Excel worksheet. The software will then query the user for a specific model form (within the generalized model framework). Model parameters will be estimated by the software using various statistical methodologies. Average cell life will be predicted using the estimated model parameters. The uncertainty in the estimated cell life will also be computed using bootstrap simulations. This software can be used in several modes: 1) fit only, 2) fit and simulation, and 3) simulation only},
doi = {},
url = {https://www.osti.gov/biblio/1231319},
year = {Wed Feb 24 00:00:00 EST 2010},
month = {Wed Feb 24 00:00:00 EST 2010},
note =
}
