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

Xiang Meng; Wan Ke Cao; Cheng Lin; Feng Jun Zhou

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

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	662-665
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	31
Issue number	6
Publication status	Published - Jun 2011

Keywords

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

Cite this

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title = "Research on performance and scheduling strategy of TTCAN system for independent driving electric vehicle",

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.",

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author = "Xiang Meng and Cao, {Wan Ke} and Cheng Lin and Zhou, {Feng Jun}",

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AU - Cao, Wan Ke

AU - Lin, Cheng

AU - Zhou, Feng Jun

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AB - 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.

KW - Electric vehicle(EV)

KW - Independent driving system

KW - Performance analysis

KW - Scheduling strategy

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

Abstract

Keywords

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