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A Case Study on Improving Capacity Delivery of Battery Packs via Reconfiguration

Published:20 February 2017Publication History
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Abstract

Cell imbalance in large battery packs degrades their capacity delivery, especially for cells connected in series where the weakest cell dominates their overall capacity. In this article, we present a case study of exploiting system reconfigurations to mitigate the cell imbalance in battery packs. Specifically, instead of using all the cells in a battery pack to support the load, selectively skipping cells to be discharged may actually enhance the pack’s capacity delivery. Based on this observation, we propose CSR, a Cell Skipping-assisted Reconfiguration algorithm that identifies the system configuration with (near)-optimal capacity delivery. We evaluate CSR using large-scale emulation based on empirically collected discharge traces of 40 lithium-ion cells. CSR achieves close-to-optimal capacity delivery when the cell imbalance in the battery pack is low and improves the capacity delivery by about 20% and up to 1x in the case of a high imbalance.

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    • Published in

      cover image ACM Transactions on Cyber-Physical Systems
      ACM Transactions on Cyber-Physical Systems  Volume 1, Issue 2
      April 2017
      214 pages
      ISSN:2378-962X
      EISSN:2378-9638
      DOI:10.1145/3015781
      • Editor:
      • Tei-Wei Kuo
      Issue’s Table of Contents

      Copyright © 2017 ACM

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      New York, NY, United States

      Publication History

      • Published: 20 February 2017
      • Accepted: 1 December 2016
      • Revised: 1 November 2016
      • Received: 1 June 2016
      Published in tcps Volume 1, Issue 2

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