D. Q. GAO ET AL.
Copyright © 2013 SciRes. EPE
1420
traverse firewalls for ensuring network security if they
will access to the internal information network. Under
some special conditions, public wireless networks may
be used in charging-swap stations if there are no wired
power network links. In the above case, the com-
munication front-end processor must be equipped with a
radio signal transceiver and a SIM card. Meanwhile, The
SIM card should have a static IP address. Thus, the
equipment in a station will access the internal infor-
mation network via public wireless communication
network according to the APN (Access Point Name)
special line of a station system
5. Conclusions
The reliable information collection, transmission, control
and management of electric vehicles and charging-swap
facilities are some important links to effectively super-
vise energy service proc edure. In order to adap t mobility,
diversity and universality requirements of electric vehicle
energy services, we make deep demand analysis on the
networking infrastructure and communications demands
of diverse terminals, devices and monitoring systems
distributed in wide area electric vehicle energy service
network. According to energy service scenarios for
electric vehicle and systematic requirements of intelli-
gent operation monitoring, we propose multimode com-
munication architecture for supporting wide area electric
vehicle energy service network with the fusion of IoT
technology. The architecture involves hybrid networking
mode widely covering expressways, national highways,
provincial highways, charging-swap facilities to imple-
ment seamless coverage and dynamic access of energy
service information. We integrate Multimode communi-
cation technologies to design interactive networking
schemes for EVs multi-business energy services. The
networking schemes will partly solve some basic
problems of perception data aggregation and information
communication support for cross-regional energy ser-
vices, and provide some technical means for friendly
information interaction.
Electric vehicle energy service infrastructures will
have rapid development in next decades in China. In fu-
ture, it is urgently necessary to innovatively use IoT
technology to build a demonstration platform of data
acquisition and information management for electric ve-
hicles energy service network. Moreover, the research on
information interaction methods between electric vehicle
and charging-swap networks should be further done.
Wireless smart sensors, perception tags, GPS and other
IntelliSense technologies need be integrated to fully
collect data in physical world for reliably solving the
problem of the electric vehicle performance assessment,
fault diagnosis, safety pre-warning and error risks
analysis.
6. Acknowledgements
This work is supported by National High-tech R&D
Program of China (863 Program) (No. 2011AA05A116,
2012AA050804) and National Program on Key Basic
Research Project of China (973 Program) (No.
2011CB302900).
REFERENCES
[1] C. Quinn, D. Zimmerle and T. H. Bradley , “The Effe ct of
Communication Architecture on the Availability, Reli-
ability, and Economics of Plug-in Hybrid Electric Vehi-
cle-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, “En-
ergy-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. Heßler and
S. Albayrak. “A Context-aware Mobile Accessible Elec-
tric Vehicle Management System,” Proceedings of the
Federated Conference on Computer Science and Infor-
mation Systems, Szczecin, 18-21 September 2011, pp.
305-312.
[4] M. Lukasiewycz, S. Chakraborty and P. Milbredt,
“FlexRay Switch Scheduling-A Networking Concept for
Electr ic 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 Re-
newables,” 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 No-
vember, 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 Vehi-
cle,” Journal of Electromagnetic Analysis & Applications,
Vol. 2, No. 3, 2010, pp. 189-194.
doi:10.4236/jemaa.2010.23027