现代电子技术2024，Vol.47Issue(17)：41-46,6.DOI:10.16652/j.issn.1004-373x.2024.17.007
基于混合深度学习的电动汽车充放电系统通信协议辨识方法研究
Communication protocol identification method based on hybrid deep learning for electric vehicle charging and discharging system
摘要
Abstract
The electric vehicle(EV)charging and discharging system is an important guarantee for the safe charging and discharging of the new energy vehicles(NEVs),so a communication protocol identification method based on hybrid deep learning for the EV charging and discharging system is proposed to cope with the communication protocol identification of the system.In this method,the communication protocol data features are extracted by the deep learning network(DLN),and the generalization ability of this network is improved by introducing norm l1/2,so as to achieve high-precision identification of the communication protocols of the EV charging and discharging system.The simulation results show that the overall accuracy(OA)of the hybrid deep learning network for the identification of different protocols of the EV charging and discharging system reaches 97.68%,which indicates the effectiveness of the communication protocol identification method for the EV charging and discharging system based on hybrid deep learning.关键词
电动汽车充放电/协议辨识/深度学习网络/l1/2范数/评估指标/泛化能力Key words
EV charging and discharging system/protocol identification/DLN/norm l1/2/evaluation indicator/generalization ability分类
电子信息工程引用本文复制引用
吕晓荣,惠琪,许子旻..基于混合深度学习的电动汽车充放电系统通信协议辨识方法研究[J].现代电子技术,2024,47(17):41-46,6.基金项目
国电南瑞南京控制系统有限公司科技项目:满足国际化要求的新一代充电技术研究及关键设备研制(524609230048) （524609230048）
