针对重型商用车油耗限值的大数据分析研究  

Big Data Analysis Research on Fuel Consumption Limits for Heavy-Duty Commercial Vehicles

作　　者：钱昱昭 吕良福 刘景阳 QIAN Yuzhao;LV Liangfu;LIU Jingyang(School of Computer Science,Anhui Agricultural University,Hefei,Anhui,230036,China;Academy of Medical Engineering and Translational Medicine,Tianjin University;Tianjin Trumpjet Power Technology CO.,LTD.)

机构地区：[1]安徽农业大学信息与计算机学院,安徽合肥230036 [2]天津大学医工院 [3]天津特瑞捷动力科技有限公司

出　　处：《小型内燃机与车辆技术》2023年第6期20-26,共7页Small Internal Combustion Engine and Vehicle Technique

摘　　要：在重型商用车油耗限值逐步加严的背景下,以重型商用车远程排放监控法规和技术为基础,通过大数据算法,获得重型商用车常用工况和发动机热效率数据,为商用车混动系统开发提供重要的数据支撑。构建了具备计算与数据存储分离、数据库读写分离和WEB前后端分离等特点的大数据平台,为重型商用车混动系统方案研究提供了进一步技术支持。Against the backdrop of increasingly stringent fuel consumption limits for heavy-duty commercial vehicles,this paper focuses on the regulations and technologies for remote emission monitoring of heavy-duty commercial vehicles.Firstly,big data algorithms are utilized to obtain commonly used operating conditions and engine thermal efficiency data for heavy-duty commercial vehicles,which provide important data support for the development of hybrid systems for commercial vehicles.Additionally,a big data platform is constructed with features such as computation and data storage separation,database read-write separation,and front-end and back-end separation,thereby providing further technological support for hybrid system solutions in heavy-duty commercial vehicles.

关 键 词：大数据分析 发动机热效率 高效内燃机 

分 类 号：U463.6[机械工程—车辆工程]