A PCGL-based data loading algorithm for electrical vehicle time-triggered CAN
by Yingji Liu; Shuju Wang; Chen Ding; Yu Yao; Hongwen Xia; Jie Xia
International Journal of Mobile Network Design and Innovation (IJMNDI), Vol. 8, No. 1, 2018

Abstract: In this paper, a period correlative group loading (PCGL)-based algorithm is proposed specifically for the real-time communication of random messages in electrical vehicle TTCAN networks. By compressing the bandwidth radio of the synchronous phase, the real-time response of event-triggered messages is accelerated. The PCGL-based scheduling approach will be detailed and described. The proposed method is tested on the scheduling for SAE electrical vehicle message standard and the results show that, on the premise of guaranteeing the real-time efficiency of time-triggered messages, the real-time efficiency of event-triggered messages is significantly improved.

Online publication date: Fri, 02-Mar-2018

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