Extrapolation of road fuel consumption data for hybrid heavy trucks based on the Monte Carlo method

Dejun Huang; Hang Peng

doi:10.1117/12.3014945

4 March 2024 Extrapolation of road fuel consumption data for hybrid heavy trucks based on the Monte Carlo method

Dejun Huang, Hang Peng

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 1298130 (2024) https://doi.org/10.1117/12.3014945
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

A method for extrapolating the real road fuel consumption data for hybrid heavy trucks based on the Monte Carlo method is proposed in this study. Firstly, the typical user usage condition characteristics of hybrid heavy trucks are defined. And then the hybrid heavy truck fuel consumption data is collected based on the predefined condition. Finally, the fuel consumption and corresponding statistical distribution of heavy trucks are obtained through the proposed Monte Carlo method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dejun Huang and Hang Peng "Extrapolation of road fuel consumption data for hybrid heavy trucks based on the Monte Carlo method", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 1298130 (4 March 2024); https://doi.org/10.1117/12.3014945

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