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

电动汽车充放电系统是新能源汽车安全充放电的重要保障。为了解决电动汽车充放电系统的通信协议辨识问题,提出一种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。该方法通过深度学习网络(DLN)提取通信协议数据特征,通过引入l1/2范数提高深度学习网络的泛化能力,实现对电动汽车充放电系统通信协议的高精度辨识。仿真结果表明,混合深度学习网络对电动汽车充放电系统不同协议的辨识总体准确率达到了97.68%。因此,可以得出基于混合深度学习的电动车充放电系统通信协议辨识方法具有一定的有效性。

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.