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电动汽车作为清洁绿色的新能源汽车,将在未来交通体系中发挥越来越重要的作用。电动汽车的研发需要在大量实际行驶数据的基础上进行统计分析,以定位存在的问题,从而对技术进行改进。目前针对车辆的感知分析系统主要针对传统动力汽车,并采用IPv4作为通讯协议,无法满足大规模部署对地址空间的需求。针对这些不足,该文设计实现了基于IPv6的电动汽车状态感知系统。系统接入车载网络后,全面感知电动汽车行驶的各项状态参数,并利用3G网络上的IPv6隧道上传至远程数据中心。一年多的实际部署应用表明:该系统能够有效地对大量电动汽车进行集中式的统计分析,使电动汽车研发机构可以更加深入全面地对电动汽车进行评估分析。
As a clean green new energy vehicle, electric vehicles will play an increasingly important role in the future transportation system. Research and development of electric vehicles need to conduct statistical analysis based on a large number of actual driving data to locate the existing problems and improve the technology. At present, the vehicle-oriented perceptual analysis system is mainly aimed at traditional power vehicles and adopts IPv4 as a communication protocol, which can not meet the requirement of large-scale deployment for address space. In response to these shortcomings, this paper designs and implements the IPv6-based EV state-sensing system. After the system is connected to the vehicle network, the system fully senses the status parameters of the electric vehicle and uploads it to the remote data center by using the IPv6 tunnel on the 3G network. More than a year of practical deployment shows that the system can efficiently conduct centralized statistical analysis of a large number of electric vehicles so that the electric vehicle research and development institute can conduct a more thorough and thorough evaluation and analysis of electric vehicles.