Modeling of lead-acid battery capacity loss in a photovoltaic application

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The authors have developed a model for the probabilistic behavior of a rechargeable battery acting as the energy storage component in a photovoltaic power supply system. Stochastic and deterministic models are created to simulate the behavior of the system components. The components are the solar resource, the photovoltaic power supply system, the rechargeable battery, and a load. One focus of this research is to model battery state of charge and battery capacity as a function of time. The capacity damage effect that occurs during deep discharge is introduced via a non-positive function of duration and depth of deep discharge events. ... continued below

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4 p.

Creation Information

JUNGST,RUDOLPH G.; URBINA,ANGEL & PAEZ,THOMAS L. April 12, 2000.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM, and Livermore, CA (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

The authors have developed a model for the probabilistic behavior of a rechargeable battery acting as the energy storage component in a photovoltaic power supply system. Stochastic and deterministic models are created to simulate the behavior of the system components. The components are the solar resource, the photovoltaic power supply system, the rechargeable battery, and a load. One focus of this research is to model battery state of charge and battery capacity as a function of time. The capacity damage effect that occurs during deep discharge is introduced via a non-positive function of duration and depth of deep discharge events. Because the form of this function is unknown and varies with battery type, the authors model it with an artificial neural network (ANN) whose parameters are to be trained with experimental data. The battery capacity loss model will be described and a numerical example will be presented showing the predicted battery life under different PV system use scenarios.

Physical Description

4 p.

Notes

OSTI as DE00755634

Medium: P; Size: 4 pages

Source

  • 39th Power Sources Conference, Cherry Hill, NJ (US), 06/12/2000--06/15/2000

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  • Report No.: SAND2000-0900C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 755634
  • Archival Resource Key: ark:/67531/metadc707405

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  • April 12, 2000

Added to The UNT Digital Library

  • Sept. 12, 2015, 6:31 a.m.

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  • April 10, 2017, 8:15 p.m.

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JUNGST,RUDOLPH G.; URBINA,ANGEL & PAEZ,THOMAS L. Modeling of lead-acid battery capacity loss in a photovoltaic application, article, April 12, 2000; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc707405/: accessed May 26, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.