Reliability Oriented Modeling and Analysis of PLC for EVs to Charging Piles Communication System Based on IPA-SAMP Impulse Noise Cancelation
Reliability Oriented Modeling and Analysis of PLC for EVs to Charging Piles Communication System Based on IPA-SAMP Impulse Noise Cancelation
复制标题
基于IPA-SAMP脉冲噪声消除的电动汽车PLC到充电桩通信系统面向可靠性的建模与分析
DOI:
10.1109/access.2019.2961241
复制
发表时间:
2020
期刊:
影响因子:
3.9
通讯作者:
LING LYU
中科院分区:
文献类型:
--
作者:
LIANG Zhang;Shengbin Chi;Quangui Hu;KANG CHEN;LING LYU
With the development of new energy technology, the number of electric vehicles (EVs) will continue to increase, which will seriously threaten the safe operation of the power grid. The V2G information interaction system can help the power grid to achieve safe and reliable operation. Therefore, under the framework of the V2G information interaction system, this paper establishes the communication system between EVs and charging piles based on power line communication (PLC), which can reduce the cost and avoid the problem that the incompatible communication interface caused by different specifications of charging piles. Due to the severe impulse noise (IN) communication environments between EVs and charging piles, the transmission performance would be seriously degraded. Hence, an improved-priori-aided sparsity adaptive matching pursuit (IPA-SAMP) is proposed to reconstruct IN. In the process of IN cancelation, the measurement vector is obtained from the null sub-carriers. In order to efficiently reconstruct IN, as the input of the IPA-SAMP algorithm, partial support are improved by the optimized threshold, which significantly improve the accuracy and robustness of the recovered IN. The proposed IPA-SAMP algorithm can effectively recover IN in the channel between EVs and charging piles, improves the reliability of the information exchange system, which is validated by computer simulations.
登录
查看更多内容
DOI:
10.1109/cecnet.2011.5768505
发表时间:
2011-04
期刊:
2011 International Conference on Consumer Electronics, Communications and Networks (CECNet)
影响因子:
--
作者:
Jian Deng;Chao Deng;C. Xie;S. Quan
通讯作者:
Jian Deng;Chao Deng;C. Xie;S. Quan
影响因子:
8.3
作者:
S. Zhidkov
通讯作者:
S. Zhidkov
影响因子:
3.9
作者:
张良;刘晓胜;Huanhuan Ma;Donghan Shi;Peng Wang;Guowei Cai
通讯作者:
Guowei Cai
影响因子:
12.3
作者:
Bikash Sah;Praveen Kumar;R. Rayudu;S. Bose;Krishna Pavan Inala
通讯作者:
Bikash Sah;Praveen Kumar;R. Rayudu;S. Bose;Krishna Pavan Inala
DOI:
10.1109/icce.2019.8662043
发表时间:
2019
期刊:
2019 IEEE International Conference on Consumer Electronics (ICCE)
影响因子:
--
作者:
R. Pratt;T. E. Carroll
通讯作者:
R. Pratt;T. E. Carroll