Battery Energy Storage System Modeling: Investigation of Intrinsic Cell to Cell Variations

Abstract

Cell-to-cell variations can drastically affect the performance and the reliability of battery packs. This study provides a model-based systematic analysis of the impact of intrinsic cell-to-cell variations induced by differences in initial state of charge, state of health, capacity ration, resistance and rate capability. The impact of these cell-to-cell variations was evaluated on the performance of battery packs of different topologies, from series to parallel, and chemistries. For each chemistry and topology, simulations were performed with different levels fo reach type of intrinsic variation as well as all variations together in order to investigate the combined effects. The most salient changes were observed for cells connected in series. The calculated incremental capacity response for the pack and the single cells was used to select different features of interest that changed depending on the type of variation. From this methodology, the automatic quantification of the variations was attempted at the pack and single cell level. Cell-to-cell variations make each battery pack unique; their quantitation is essential for accurate monitoring.

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Document Details

Document Type
Technical Report
Publication Date
Mar 08, 2019
Accession Number
AD1104883

Entities

People

  • Carlos Pastor-fernndez
  • George Baure
  • James Marco
  • Matthieu Dubarry
  • Tung F. Yu
  • W. D. Widanage

Organizations

  • University of HawaiĘ»i System

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Assembly
  • Chemistry
  • Electronic Mail
  • Energy
  • Energy Storage
  • Environment
  • High Voltage
  • Intensity
  • Lithium Ion Batteries
  • Manufacturing
  • Materials
  • Research Facilities
  • Simulations
  • Statistical Analysis
  • Storage
  • Temperature Gradients
  • Voltage

Readers

  • Battery Technology and Engineering
  • Computational Modeling and Simulation
  • Systems Analysis and Design