Control strategy for hybrid tracked vehicles using fuzzy logic

Ze Yu Chen*, Guang Yao Zhao, Cheng Ning Zhang, Li Zhai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

To solve the problem of power distribution for hybrid tracked vehicles (HTV), a supervisory control strategy is proposed. Firstly, power system integration is analyzed and modeled. Then the control algorithm is given. Two fuzzy logics are used to realize the coordination control over each power unit. One controls power distribution based on the load power and battery state of charge (SOC). The other manage the power during regenerating braking. To validate the presented control strategy, a "driver and controller" in the loop simulation platform is built based on dSPACE system and real-time simulation is made. The simulation results show that the strategy presented can solve the power distribution problem of hybrid tracked vehicles correctly and effectively.

Original languageEnglish
Pages (from-to)202-206
Number of pages5
JournalJournal of Beijing Institute of Technology (English Edition)
Volume22
Issue number2
Publication statusPublished - Jun 2013

Keywords

  • Control strategy
  • Fuzzy logic
  • Hybrid tracked vehicle (HTV)
  • Power distribution

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