Communication Networking Schemes for Wide Area Electric Vehicle Energy Service Network

Dequan Gao, Jinping Cao, Yiying Zhang, Xiuli Wang

1Beijing University of Posts and Telecommunications, Beijing 100876, China 2State Grid Information & Telecommunication Company Ltd., Beijing 100761, China.
China Electric Power Research Institute, Beijing 100192, China.
Information Communication Branch of Beijing Electric Power Company, Beijing 100031, China.

DOI: 10.4236/epe.2013.54B268                

Abstract

Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area electric vehicles energy service network, we analyze the network infrastructure and communications demands of various terminals, devices and monitoring systems distributed in wide area electric vehicle energy service network. According to interactive user services scenarios and energy operations intelligent monitoring, we propose multimode communication integration architecture for wide area electric vehicle energy service network by means of the fusion of the Internet of Things (IoT) technology. Then, we design different networking schemes in access networks and backbone transmission networks meeting multi-scene and multi-operation interaction requirements. The networking schemes will provide efficient technical support to implement intelligent, cross-regional, interactive energy services for electric vehicle users.

Keywords

Electric Vehicle; Wide-area Energy Service Network; Communication Networking; Internet of Things

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	C. Quinn, D. Zimmerle and T. H. Bradley, “The Effect of Communication Architecture on the Availability, Reliability, and Economics of Plug-in Hybrid Electric Vehicle-to-grid Ancillary Services,” Journal of Power Sources, Vol. 195, No. 5, 2010, pp. 1500-1509. doi:10.1016/j.jpowsour.2009.08.075
[2]	J. Moreno, M. E. Ortúzar and J. W. Dixon, “Energy-management System for a Hybrid Electric vehicle, Using Ultracapacitors and Neural Networks,” IEEE Transactions on Industrial Electronics, Vol. 53, No. 2, 2006, pp. 614-629. doi:10.1109/TIE.2006.870880
[3]	N. Masuch, M. Lutzenberger, S. Ahrndt，A. He?ler and S. Albayrak. “A Context-aware Mobile Accessible Electric Vehicle Management System,” Proceedings of the Federated Conference on Computer Science and Information Systems, Szczecin, 18-21 September 2011, pp. 305-312.
[4]	M. Lukasiewycz, S. Chakraborty and P. Milbredt, “FlexRay Switch Scheduling-A Networking Concept for Electric Vehicles,” Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, 14-18 March 2011, pp. 1-6.
[5]	T. Markel, M. Kuss and P. Denholm, “Communication and Control of Electric Drive Vehicles Supporting Renewables,” IEEE Vehicle Power and Propulsion Systems Conference, Dearborn, 7-10 September 2009, pp. 27-34.
[6]	M. Gigli and S. Koo, “Internet of Things: Services and Applications Categorization,” Advances in Internet of Things, Vol. 1, No. 2, 2011, pp. 27-31. doi:10.4236/ait.2011.12004
[7]	M. Kovatsch, “A User-Centered Application Layer for the Internet of Things”, ACM SenSys’11, Seattle, 1-4 November, 2011.
[8]	E. Meissner and G. Richter, “Battery Monitoring and Electrical Energy Management Precondition for future vehicle electric power systems”, Journal of Power Sources, Vol. 116, No. 1, 2003, pp. 79-98. doi:10.1016/S0378-7753(02)00713-9
[9]	Q. Q. Zhang, Y. Wang and T. M. Yin, “Design of the Control System about Central Signals in Electric Vehicle,” Journal of Electromagnetic Analysis & Applications, Vol. 2, No. 3, 2010, pp. 189-194. doi:10.4236/jemaa.2010.23027