&nbsp;Performance Analysis of Communication Networks in Large-Scale Charging and Swapping Stations of Electric Vehicles

GUO Yunpeng; YE Xiaming; ZHAO Junhua; WEN Fushuan; LI Bo; LI Liang; MAO Jianwei

doi:10.3969/j.issn.1000-7229.2017.01.004

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Electric Power Construction ›› 2017, Vol. 38 ›› Issue (1) : 23. DOI: 10.3969/j.issn.1000-7229.2017.01.004

Performance Analysis of Communication Networks in Large-Scale Charging and Swapping Stations of Electric Vehicles

GUO Yunpeng1, YE Xiaming2, ZHAO Junhua3, WEN Fushuan4,5, LI Bo6, LI Liang6, MAO Jianwei6

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Abstract

The automation degree of charging and swapping station of electric vehicles is bounded up with the performance of its communication network. A well-performed communication network is the precondition of transmitting data in time and implementing the functions of automatic control and management. Therefore, the data transmission characteristics in the communication network of large-scale charging and swapping station and the communication performance are worthly studied. Firstly, this paper analyzes and models various data in communication network of charging and swapping station in detail. Then, aiming at the condition whether the data in the network sets priority, this paper carries out numerical simulations with using software OPNET and obtains a series of conclusion. The simulation results show that setting priority tags for different kinds of data is helpful for guaranteeing the reliable transmission of important data. Moreover, if the code rate of video monitoring data is high, a communication network with a broader bandwidth or even a proprietary network for these data only may be demanded.

Key words

electric vehicle / charging and swapping station / communication network / performance analysis / network simulation

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GUO Yunpeng, YE Xiaming, ZHAO Junhua, WEN Fushuan, LI Bo, LI Liang, MAO Jianwei. Performance Analysis of Communication Networks in Large-Scale Charging and Swapping Stations of Electric Vehicles[J]. Electric Power Construction. 2017, 38(1): 23 https://doi.org/10.3969/j.issn.1000-7229.2017.01.004

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Funding

Project supported by National Basic Research Program of China (973 Program) (2013CB228202)；National Natural Science Foundation of China (51177145)； Specialized Research Fund for the Doctoral Program of Higher Education (20120101110112)