基于车联网大数据的纯电动汽车行程识别算法

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【摘  要】当前，车联网大数据驱使着智能汽车的发展，基于车联网大数据分析用户驾驶行为已成为必然趋势，但直接分析底层数据是非常困难的，需结合用户驾驶过程来分析。基于此目的，本课题提出一种基于车联网大数据的纯电动汽车行程识别算法，来实现对整车数据的聚合。

【关键词】车联网；汽车；大数据；行程识别

中图分类号：U469.72    文献标志码：A    文章编号：1003-8639（ 2023 ）08-0005-03

Trip Recognition Algorithm of Pure Electric Vehicle Based on Big Data of Internet of Vehicles

ZHUO Li，ZHANG Liang，CHENG Deng，LI Fei，XIE Yan-fang

（SAIC GM Wuling Automobile Co.，Ltd.，Guangxi Laboratory of New Energy Automobile，

Guangxi Key Laboratory of Automobile Four New Features，Liuzhou 545007，China）

【Abstract】At present，the big data of the Internet of vehicles drives the development of intelligent vehicles. It has become an inevitable trend to analyze users' driving behavior based on the big data of the Internet of vehicles. However，it is very difficult to directly analyze the underlying data，which needs to be analyzed in combination with the user's driving process. For this purpose，this topic proposes a pure electric vehicle travel recognition algorithm based on the big data of the Internet of vehicles to realize the aggregation of vehicle data.

【Key words】vehicle networking；automobile；big data；travel identification

1  绪论

汽车行业已经从机械1.0时代和电子2.0时代，步入智能3.0时代，在未来智能车载系统及自动驾驶技术必将引发一场革命，以汽车制造技术为代表的工业技术和以互联网技术为代表的信息技术势必将紧密融合，从而推动汽车行业技术创新。（剩余3721字）