Research on performance and scheduling strategy of TTCAN system for independent driving electric vehicle

Xiang Meng, Wan Ke Cao*, Cheng Lin, Feng Jun Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

The event-triggered CAN is not real-time and deterministic enough as the underlying network for powertrain system of independent driving electric vehicle (EV). The time-triggered CAN (TTCAN) protocol was adopted for powertrain system of a self-developed 2-wheel independent driving EV. Then the scheduling strategy was promoted based on AL algorithm. The performance of real-time capability, transmission delay, periodic jitter and bandwidth utilization were theoretically analyzed and experimentally tested. The results show that the protocol can effectively improve the real-time capability and determinacy of system communication.

Original languageEnglish
Pages (from-to)662-665
Number of pages4
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume31
Issue number6
Publication statusPublished - Jun 2011

Keywords

  • Electric vehicle(EV)
  • Independent driving system
  • Performance analysis
  • Scheduling strategy

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