Energy management strategy and real-time simulation of hybrid electric tracked vehicle

Jun Qiu Li*, Feng Chun Sun, Cheng Ning Zhang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

The dynamics and fuel efficiency of hybrid electric tracked vehicle are largely restricted with energy management strategy. A new energy management strategy for engine power following and battery pack power compensating is proposed according to the output characteristics of power source and the driving demand of vehicle, and a power balance method is presented for engine, battery pack and motor, etc. A real-time simulation platform for the energy management of hybrid electric tracked vehicle with "driver and vehicle controller" is established in dSPACE. The real-time simulation research on the operation input of driver is conducted. The simulation results show that the engine works according to the optimal fuel consumption curve and the in-time power compensation of battery packs, and the energy management strategy meets the power changes of some vehicle driving, such as maximum speed and B/2 steering situation, to implement the better dynamics and fuel efficiency of hybrid electric tracked vehicle.

Original languageEnglish
Pages (from-to)1345-1351
Number of pages7
JournalBinggong Xuebao/Acta Armamentarii
Volume34
Issue number11
DOIs
Publication statusPublished - Nov 2013

Keywords

  • Energy management
  • Hybrid power source
  • Ordnance science and technology
  • Real-time simulation
  • Tracked vehicle

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