摘要
用户实际用车数据是汽车产品设计的重要基础,同时也是制定汽车系统、零部件设计标准,产品验证规范开发和评价指标的基础。汽车在联网环境中的大量信息,对于挖掘和分析汽车用户驾驶的特征,具有不可替换的意义和价值。通过对车辆加减速、油耗等行驶数据的挖掘,有助于分析用户的驾驶风格、行为和车辆工作情况,为整车厂设计和研发提供了客观用户的数据支持,助力研发部门进行精准的设计和验证。
Customer's actual vehicle data is an important basis for automobile product design,and also the basis for formulating automobile system and part design standards,product validation specifications,development and evaluation indicators.A large amount of information of automobile in the connected environment has irreplaceable significance and value for mining and analyzing the driving characteristics of automobile users.Through the mining of vehicle acceleration and deceleration,fuel consumption and other driving data,it is helpful to analyze customer's driving style,behavior and vehicle working conditions,provide objective customer data support for vehicle design and R&D,thus help R&D department carry out accurate design and verification.
作者
杨文奇
李浪
林容宾
Yang Wenqi;Li Lang;Lin Rongbin(Automotive Engineering Research Institute of Guangzhou Automobile Group Co.,Ltd,Guangzhou 511434)
出处
《汽车文摘》
2021年第2期21-24,共4页
Automotive Digest
关键词
车联网
用户使用测量
用户关联
驾驶行为
Internet of vehicle
Customer survey
Customer correlation
Driving behavior