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Author:

Wang, Zhuwei (Wang, Zhuwei.) | Guo, Yuehui (Guo, Yuehui.) | Fang, Chao (Fang, Chao.) | Li, Meng (Li, Meng.) | Sun, Yang (Sun, Yang.) | Zhang, Yanhua (Zhang, Yanhua.) (Scholars:张延华)

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EI

Abstract:

In this paper, an optimal control algorithm for connected vehicle systems is proposed in order to ensure the vehicular platoon stable as well as reduce the transmission power consumptions in the presence of the network-induced delays. First, the vehicle dynamic modeling and power consumption analysis are addressed based on a typical 3-vehicle platoon. With the objective of minimizing the deviations of vehicle's headway and velocity as well as reducing power consumption, an optimization problem is formulated using a quadratic cost function. Then, the design of the optimal control strategy with minimum power consumption for connected vehicle systems can be divided into two steps: first the minimal hop routings for human- driven vehicles are obtained based on the network topology, and then the optimal control strategy is derived based on the determined transmission routing. © 2019 IEEE.

Keyword:

Vehicle transmissions Optimal control systems Delay control systems Energy utilization Electric power supplies to apparatus Cost functions Time delay Electric power utilization Power control

Author Community:

  • [ 1 ] [Wang, Zhuwei]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Guo, Yuehui]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Fang, Chao]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Li, Meng]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Sun, Yang]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 6 ] [Zhang, Yanhua]Faculty of Information Technology, Beijing University of Technology, Beijing; 100124, China

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Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 9

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