Energy management strategy research on a hybrid power system by hardware-in-loop experiments

Hongwen He*, Rui Xiong, Kai Zhao, Zhentong Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)

Abstract

A fuzzy logic-based energy management strategy for a hybrid power system used in electric vehicles was developed and verified in this paper. First, the topology structure of a hybrid power system was put forward that the ultracapacitors connected with the battery pack in parallel after a bidirectional DC/DC converter. To improve the systematic efficiency, a fuzzy logic-based energy management strategy was designed and the control model was built. We proposed an active electricity management module for the ultracapacitors on the basis of the real-time vehicle velocity. Then, the vehicle model, the interface model of the electrical load and the xPC Target were built with the Simulink/State flow soft. Finally, the hybrid power/energy system-in-loop simulation experiment was carried out to verify the energy management strategy under the Urban Dynamometer Driving Schedule (UDDS) dynamic driving cycle. The results show the proposed fuzzy logic-based energy management strategy can ensure the battery pack working in high efficiency range and show better performance than the traditional logic threshold-based control strategy. The hybrid power system's electricity economy was improved by 4.1% and the bad influences of the high-current discharging and charging on battery pack were avoided successfully.

Original languageEnglish
Pages (from-to)1311-1317
Number of pages7
JournalApplied Energy
Volume112
DOIs
Publication statusPublished - Dec 2013

Keywords

  • Battery pack
  • Electric vehicles
  • Hardware-in-loop experiment
  • Hybrid power/energy system
  • XPC Target

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