@inproceedings{3a68188996e24138b9b25fd81de87d98,
title = "Development of driver assistant system for heavy duty vehicles and economic calibration",
abstract = "To optimize the cycle-based fuel economy of the heavy duty vehicle, a driver assistant system with coordinated power system and dynamometer control is developed, and the automatic driving cycle calibration is carried out. The developed system can control the cyclic speed error within the range of ±3km/h. Economic calibration tests were carried out for a certain non-road power system under different debugging rules. The results show that the optimized shift law can reduce fuel consumption by 21.7\% compared with the original shift law in typical sand-gravel pavement. The driver assistant system developed has good following effect and high practical value.",
keywords = "driver assistant system, economic calibration, heavy duty vehicle, road cycle",
author = "Li Zhipeng and Liu Fanshuo and Zhang Fujun",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Information Science and Control Engineering, ICISCE 2020 ; Conference date: 18-12-2020 Through 20-12-2020",
year = "2020",
month = dec,
doi = "10.1109/ICISCE50968.2020.00362",
language = "English",
series = "Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1840--1844",
editor = "Shaozi Li and Ying Dai and Jianwei Ma and Yun Cheng",
booktitle = "Proceedings - 2020 7th International Conference on Information Science and Control Engineering, ICISCE 2020",
address = "United States",
}