Research on Personalized Fuel Saving Strategy of Commercial Vehicles Based on Big Data
With the increasing energy costs and environmental awareness,the optimization of commercial ve-hicle fuel economy has become the focus of the industry.This study aims to use big data analysis technology combined with engine thermal efficiency data to explore and realize personalized fuel saving strategies for com-mercial vehicles.By integrating on-board sensor data,GPS track information and other multi-source data,we have built a flexible and dynamic personalized fuel saving strategy for commercial vehicles.The experimental re-sults deployed in many logistics fleets show that the fuel saving strategy proposed in this study can save 5.29%on aver-age.It is proved that the strategy is feasible and economical in the actual operation of commercial vehicles.
Big dataCommercial vehiclesPersonalized fuel saving strategy
NETL
NSTL
万方数据
