关键词: 大数据；车联网；车辆可靠性试验

Abstract: Vehicle reliability testing is an important part of the automotive development process, and the rationality of testing specifications has a significant impact on testing cost and durability performance of vehicles. With the large-scale promotion of the Internet of vehicles, it is possible to obtain accurate data on actual users with large samples. The excellent performance of big data technology in data mining capabilities provides broad space for its application in the development of vehicle reliability test specifications. This article introduces five applications of Internet of vehicles big data in vehicle reliability test specification development field: user travelling habit analysis, vehicle component operation frequency statistics, user road type proportion prediction, user driving style recognition, and user working condition formulation. It covers vehicle road and bench reliability testing, providing new ideas and reference value for the rational development of its test specifications.

Key words: Big data; Internet of vehicles; Vehicle reliability test