Battery durability and longevity based power management for plug-in hybrid electric vehicle with hybrid energy storage system

Shuo Zhang, Rui Xiong*, Jiayi Cao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

138 Citations (Scopus)

Abstract

Efficiency and durability are becoming two key issues for the energy storage system in electric vehicles together with their associated power management strategies. In this paper, we present a procedure for the design of a near-optimal power management strategy for the hybrid battery and ultracapacitor energy storage system (HESS) in a plug-in hybrid electric vehicle. The design procedure starts by defining a cost function to minimize the electricity consumption of the HESS and to optimize the operating behavior of the battery. To determine the optimal control actions and power distribution between two power sources, a dynamic programming (DP)-based novel analysis method is proposed, and the optimization framework is presented accordingly. Through analysis of the DP control actions under different battery state-of-health (SoH) conditions, near-optimal rules are extracted. A rule based power management is proposed based on the abstracted rules and simulation results indicate that the new control strategy can improve system efficiency under different SoH and different SoC conditions. Ultimately, the performance of proposed strategy is further verified under different types of driving cycles including the MANHATTAN cycle, 1015 6PRIUS cycle and UDDSHDV cycle.

Original languageEnglish
Pages (from-to)316-328
Number of pages13
JournalApplied Energy
Volume179
DOIs
Publication statusPublished - 1 Oct 2016

Keywords

  • Battery
  • Dynamic programming
  • Hybrid energy storage system
  • Plug-in hybrid electric vehicle
  • Power management
  • Ultracapacitor

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