Skip to main content
Exit comparison
Removed
Added

Datasets Comparison

Version 1

Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis

Published:23 September 2022|Version 1|DOI:10.17632/jzjxcdn6k4.1
Contributors:Pengfei Fan,

Description

The research team collected 0.95 billion records of second-by-second vehicle operating data (e.g., speed, acceleration, and location) and fuel consumption from 395 light-duty vehicles in Beijing in 2019. The original dataset covered approximately 263,639 drive hours and 7.72 million kilometers. Such large-scale operating data were retrieved through OBD and transmitted and saved to a cloud server through the 4G network at a 1 Hz frequency. --【Vehicle information.xlsx】 All the 395 vehicles were privately owned. These vehicles were clustered into and then named as 15 vehicle types according to their manufacturer, model, engine code, model year, and displacement (e.g., Volkswagen-Passat-0X2072S-2015-1.8T). The in-laboratory fuel consumption of each vehicle type was derived from the Ministry of Industry and Information Technology of China, an official platform that publishes the in-laboratory fuel consumption of all registered vehicles in China. Additionally, vehicle attributes and engine configurations were supplemented through the China Automotive Technology and Research Center Co. Ltd. All the vehicle information are stored in 【Vehicle information.xlsx】. --【Vehicle fuel consumption.csv】 A vehicle trip refers to the duration between a vehicle's each engine start and stop. 385,158 valid trips were extracted from the 0.95 billion seconds of instantaneous operating data of the 395 vehicles. Each trip's vehicle information, start time, end time, travel distance, and fuel consumption (including in-laboratory and real-world fuel consumption and model calculations) are stored in 【Vehicle fuel consumption.csv】. The detailed model calculations are described in our research paper.

Institutions

Institutions

Beijing Jiaotong University

Categories

Fuel, Vehicle

Licence

Creative Commons Attribution 4.0 International

Version 2

Which factor contributes more to the fuel consumption gap between in-laboratory vs. real-world driving conditions? An independent component analysis

Published:26 September 2022|Version 2|DOI:10.17632/jzjxcdn6k4.2
Contributors:Pengfei Fan,

Description

All the vehicle information are stored in 【Vehicle information.xlsx】. Each trip's vehicle information, start time, end time, travel distance, and fuel consumption (including in-laboratory and real-world fuel consumption and model calculations) are stored in 【Vehicle fuel consumption.csv】. The detailed model calculations are described in our research paper.

Institutions

Institutions

Beijing Jiaotong University

Categories

Fuel, Vehicle

Licence

Creative Commons Attribution 4.0 International