By Topic

Energy Management Framework Designed for Autonomous Electric Vehicle with Sensor Networks Navigation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Hui Suo ; Coll. of Inf. Eng., Guangdong Jidian Polytech., Guangzhou, China ; Jiafu Wan ; Di Li ; Caifeng Zou

Cyber-physical systems (CPS) have emerged as a cutting edge technology for next-generation industrial applications, and are undergoing rapid development and inspiring numerous application domains. This article presents an innovative CPS application for energy management framework (EMF) towards autonomous electric vehicle (AEV) in smart grid. First, we give a brief overview of CPS research. The enabling technologies and the open research issues of CPS are also discussed. Then we address the wireless sensor networks (WSNs) navigation principle and simulation model of AEV in smart grid, design the communication architecture for EMF to collect status and power consumption demand from AEV and charging stations, and introduce EMF to overcome some issues such as real-time traffic information. Subsequently, the energy-efficient design steps for EMF are proposed and formulated by means of path planning and event-based control technique. Finally, the open research issues for EMF are outlined in brief.

Published in:

Computer and Information Technology (CIT), 2012 IEEE 12th International Conference on

Date of Conference:

27-29 Oct. 2012