Network Communication and Electronic Control Strategy of New Energy Vehicles Based on Cloud Platform in the IoT Environment

Aiming at the low accuracy of network intrusion detection (In-De) in traditional communication strategy new energy vehicles (NEVs), this paper proposes an electronic control (E-C) for NEVs based on cloud platform internet things (IoT) environment. First, and deep learning (D-L) algorithm, E-C system model including sensor, actuator, gateway, is constructed, basis, edge computing introduced to efficiently handle information interaction tasks. Then, by using Bi-LSTM neural train historical data center layer system, a D-L method combining nodes proposed. Finally, introducing AlexNet into model, problem gradient vanishing when solved training speed accelerated.