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Author:

Wang, T. (Wang, T..) | Zhang, J. (Zhang, J..) | He, J. (He, J..)

Indexed by:

EI Scopus SCIE

Abstract:

Wireless charging lanes enable electric vehicles to be charged while driving, promoting the electrification and sustainability of transport systems. However, they cannot be fully covered on the highway due to construction costs. Conversion of several lanes of highways to wireless charging lanes is a more feasible option. In this paper, we propose a dynamic reversal strategy for wireless charging lanes in the presence of connected and automated vehicles on a highway. The proposed strategy aims to improve highway traffic efficiency while meeting electric vehicles’ uneven charging demand in different directions. A centralized controller is set to change wireless charging lane directions and guide traffic flow dynamically. Electric vehicles can access real-time lane reversal information for lane-changing and speed adjustment behaviors with connected and automated vehicle technology. We propose a modified multi-lane cell transmission model to model the traffic flow with different speed preferences on wireless charging and regular lanes. A mixed-integer linear program is developed for the proposed lane reversal strategy. Numerical experiments are conducted to demonstrate the effectiveness of the proposed method. The results show that the proposed strategy can effectively reduce road congestion, meet the dynamic charging demand, and reduce the energy consumption of electric vehicles in different directions. © 2023 Elsevier Ltd

Keyword:

Wireless charging Dynamic lane reversal Automated electric vehicles Traffic control

Author Community:

  • [ 1 ] [Wang T.]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Wang T.]School of Vehicle and Mobility, Tsinghua University, Beijing, 100084, China
  • [ 3 ] [Zhang J.]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [He J.]Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Sustainable Energy Technologies and Assessments

ISSN: 2213-1388

Year: 2023

Volume: 57

8 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 6

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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