Electric Vehicle Route Selection and Charging Navigation Strategy Based on Crowd Sensing

This paper has proposed an electric vehicle (EV) route selection and charging navigation optimization model, aiming to reduce EV users' travel costs and improve the load level of the distribution system concerned. Moreover, with the aid of crowd sensing, a road velocity matrix acquisition and r...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics 2017-10, Vol.13 (5), p.2214-2226
Main Authors: Yang, Hongming, Deng, Youjun, Qiu, Jing, Li, Ming, Lai, Mingyong, Dong, Zhao Yang
Format: Article
Language:English
Subjects:
Batteries
Case studies
Charging
Charging navigation
Charging stations
Computer simulation
crowd sensing
Data processing
electric vehicle (EV)
Electric vehicles
Feasibility studies
Load distribution (forces)
Navigation
Queues
Queuing theory
Real-time systems
Restoration
Roads
Route selection
Sensors
Stations
Target acquisition
Time of use
Traffic information
Travel time
Vehicles
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Summary:This paper has proposed an electric vehicle (EV) route selection and charging navigation optimization model, aiming to reduce EV users' travel costs and improve the load level of the distribution system concerned. Moreover, with the aid of crowd sensing, a road velocity matrix acquisition and restoration algorithm is proposed. In addition, the waiting time at charging stations is addressed based on the queue theory. The formulated objective of the presented model is to minimize the EV users' travel time, charging cost or the overall cost based on the time of use price mechanism, subject to a variety of technical constraints such as path selections, travel time, battery capacities, and charging or discharging constraints, etc. Case studies are carried out within a real-scale zone in a city where there are four charging stations and the IEEE 33-bus distribution system. The effects of real-time traffic information acquisition and different decision targets on EV users' travel route and effects of charging or discharging of EVs on the load level of the distribution system are also analyzed. The simulation results have demonstrated the feasibility and effectiveness of the proposed approach.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2017.2682960