Optimal Control of Active Cell Balancing: Extending the Range and Useful Lifetime of a Battery Pack

Feye S.J. Hoekstra (Corresponding author), Henk Jan Bergveld, M.C.F. Donkers

Research output: Contribution to journalArticleAcademicpeer-review

29 Citations (Scopus)
295 Downloads (Pure)

Abstract

The range of electric vehicles (EV), especially those powered by aged battery packs, is partly limited by cell-to-cell imbalance, i.e., the weakest cell determines the performance of the entire battery pack. Active cell balancing can mitigate these differences, but balancing ad hoc discrepancies in voltage or state-of-charge (SoC) does not necessarily result in the best performance in terms of range. This brief employs a distributed feasibility approach to retrieve the maximum range and corresponding balancing currents for a specific scenario. Moreover, using aging data from literature and a real-time applicable model-predictive-controller, a lifetime projection is made on the benefits of active cell balancing, which shows that a significant extension of End-of-Life (EoL) is achieved, i.e., 10% for the considered example. Finally, we show when and why the applied balancing controller, which can effectively balance a battery pack using balancing currents with a maximum C-rate of only 1/50C, performs better than others in terms of maximizing the range.

Original languageEnglish
Pages (from-to)2759-2766
Number of pages8
JournalIEEE Transactions on Control Systems Technology
Volume30
Issue number6
DOIs
Publication statusPublished - 1 Nov 2022

Keywords

  • Active cell balancing
  • Aging
  • Batteries
  • Load modeling
  • Optimal control
  • Optimization
  • Predictive models
  • Voltage
  • electric vehicles (EV)
  • lithium-ion batteries
  • model-predictive control
  • optimal control.
  • optimal control

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