The behaviour analysis of the electric vehicle is helpful to grasp the running condition , improve the running efficiency and ensure the safe operation of the vehicle. With the development of Internet of things (IoT) technology, it has become a reality to monitor and analyze the car behaviour. By analyzing the functional requirements of the electric vehicle behaviour analysis management system, this paper designs behaviour analysis management system of electric vehicle based on the Internet of things technology. Firstly, the basic structure of the electric vehicle behaviour analysis management system based on the Internet of things technology is constructed, and then the deep network data mining model based on Hadoop is established to analyze the vehicle behaviour. The simulation results verify the reliability of the system. In addition, compared with the traditional support vector machine algorithm, this algorithm can effectively deal with massive data and improve the prediction accuracy by 9.76%. Compared with other deep learning algorithms, it can improve the prediction accuracy by 3.64%.

电动汽车的行为分析有助于掌握行驶状态，提高行驶效率，确保车辆安全运行。随着物联网（IoT）技术的发展，监视和分析汽车行为已成为现实。通过分析电动汽车行为分析管理系统的功能需求，设计了基于物联网技术的电动汽车行为分析管理系统。首先构建了基于物联网技术的电动汽车行为分析管理系统的基本结构，然后建立了基于Hadoop的深度网络数据挖掘模型来分析汽车的行为。仿真结果验证了系统的可靠性。此外，与传统的支持向量机算法相比，该算法可以有效处理海量数据，预测精度提高9.76％。与其他深度学习算法相比，它可以将预测准确性提高3.64％。