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Statistical Battery Models and Variation-Aware Battery Management

Published: 01 June 2014 Publication History

Abstract

Cell-to-cell variability of batteries is a well-known problem especially when it comes to assembling large battery packs. Different battery cells exhibit substantial variability among them due to manufacturing tolerances, which should be carefully assessed and managed. Although battery packs usually incorporate some cell balancing circuitry, it is supposed to balance cell voltages dynamically at the expense of bypassed (not stored) charge.
In this paper, we address the issue of how to consider variability when building battery packs based on a recently introduced combined cell-to-cell variation model of the capacity and of the internal resistance of a Li-Ion battery that accounts for variability effects in the cell manufacturing process. We attempt to figure out what kind of pack-level variability should be managed to reduce the cost of the cell balancing. We qualitatively evaluate inter- and intra-column variance minimizing cell placement approaches from the perspective of the passive cell balancing cost while considering the correlation between capacity and internal resistance. The intra-column minimization approach reduce the charging time and bypassed current by differentiating the column currents.

References

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  • (2018)Design and Analysis of Battery-Aware Automotive Climate Control for Electric VehiclesACM Transactions on Embedded Computing Systems10.1145/320340817:4(1-22)Online publication date: 5-Jul-2018
  • (2018)Aging Management Using a Reconfigurable Switch Network for Arrays of Nonideal Power CellsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280070026:5(855-866)Online publication date: May-2018
  • (2018)Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones2018 Ninth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2018.8752157(1-6)Online publication date: Oct-2018
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cover image ACM Other conferences
DAC '14: Proceedings of the 51st Annual Design Automation Conference
June 2014
1249 pages
ISBN:9781450327305
DOI:10.1145/2593069
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 June 2014

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Author Tags

  1. Battery Modeling
  2. Constant Current - Constant Voltage (CC-CV)
  3. Datasheet
  4. Peukert's law

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DAC '14

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Overall Acceptance Rate 1,770 of 5,499 submissions, 32%

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Cited By

View all
  • (2018)Design and Analysis of Battery-Aware Automotive Climate Control for Electric VehiclesACM Transactions on Embedded Computing Systems10.1145/320340817:4(1-22)Online publication date: 5-Jul-2018
  • (2018)Aging Management Using a Reconfigurable Switch Network for Arrays of Nonideal Power CellsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2018.280070026:5(855-866)Online publication date: May-2018
  • (2018)Graceful Performance Adaption through Hardware-Software Interaction for Autonomous Battery Management of Multicore Smartphones2018 Ninth International Green and Sustainable Computing Conference (IGSC)10.1109/IGCC.2018.8752157(1-6)Online publication date: Oct-2018
  • (2017)Electric Vehicle Optimized Charge and Drive ManagementACM Transactions on Design Automation of Electronic Systems10.1145/308468623:1(1-25)Online publication date: 1-Aug-2017
  • (2015)A Statistical Model-Based Cell-to-Cell Variability Management of Li-ion Battery PackIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems10.1109/TCAD.2014.238450634:2(252-265)Online publication date: Feb-2015

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