The invention discloses an adaptive cruise system optimization method based on big data analysis. The method comprises the following steps: 1) obtaining driving data of a vehicle in various driving scenes; 2) transmitting the driving data to a cloud for analysis and processing to obtain a habit data curve corresponding to the driving habit of the user; 3) extracting system parameters in the habit data curve; 4) integrating the system parameters into software corresponding to the adaptive cruise system and generating a software upgrade package; and 5) pushing the software upgrade package to the vehicle terminal to complete the upgrade of the adaptive cruise system. According to the method, the driving data is collected regularly, the data curve closest to the driving habit of the user is extracted through the cloud, the system parameters in the data curve are extracted to integrate the software upgrading package, and finally the software upgrading package is pushed to the self-adaptive endurance system to complete upgrading, so that the self-adaptive endurance system better conforms to the driving habit of the user, and the user experience is improved. Self-adaptive cruise exclusive to the user is realized, and the use experience of the user can be effectively improved.
本发明公开了一种基于大数据分析的自适应巡航系统优化方法,包括如下步骤:1)获取车辆在多种驾驶场景下的驾驶数据;2)将驾驶数据传输至云端进行分析处理,得到与用户驾驶习惯对应的习惯数据曲线;3)提取习惯数据曲线中的系统参数;4)将系统参数集成至自适应巡航系统对应的软件中并生成软件升级包;5)将软件升级包推送至车机端完成对自适应巡航系统的升级。本发明定期采集驾驶数据,通过云端提取出与用户驾驶习惯最为接近的数据曲线,提取其中的系统参数集成软件升级包,最后将软件升级包推送至自适应续航系统完成升级,使自适应续航系统更加符合用户的驾驶习惯,实现专属于用户的自适应巡航,可有效提高用户的使用体验。
Adaptive cruise system optimization method based on big data analysis
一种基于大数据分析的自适应巡航系统优化方法
2022-08-16
Patent
Elektronische Ressource
Chinesisch
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