Typical driving cycles have an important impact on vehicle fuel consumption, emissions, and safety, and is severely affected by driving styles. In this paper, a driving cycles construction method for heavy-duty trucks is proposed, considering driving style effects. First, based on the driving operation data and vehicle status information, a k-means based clustering method is used to identify the driving styles for the same route. Then a database for different vehicle speed segments consisting with highway and suburban, is established for different drive styles, based on experimental data. Then for each segment, a Markov chain algorithm is deployed to construct the typical drive cycle for different driving styles. Simulation results show that using the constructed driving cycle the simulation time is reduced by 88.95% compared with the complete driving cycle, and the relative error of the characteristic parameters is less than 5% and the fuel consumption estimation error is less than 4%.
A Construction Method of Truck Driving Cycles Considering Driving Style
2021-10-29
3131260 byte
Conference paper
Electronic Resource
English
A Personalized Driving Risk Evaluation Method Considering Driving Style
SAE Technical Papers | 2019
|Research on the Construction and Testing of Typical Driving Cycles for Refuse Truck
Trans Tech Publications | 2013
|DRIVING DEVICE, HYBRID TRUCK DRIVING METHOD, AND HYBRID TRUCK
European Patent Office | 2022
|Context-aware open-pit mine truck driver driving style identification method
European Patent Office | 2023
|