@inproceedings{38f03dd665f24491b64a82e306e03b79,
title = "Study on fuzzy shift control strategy of multi-axles independent driving HEVs based on curve recognition",
abstract = "In this paper, taking a multi-axles independent driving HEV (Hybrid Electric Vehicle) for the study, a model for multi-axles independent driving system was built, a shifting strategy based on throttle and vehicle speed was formulated, and the fuzzy shifting control based on curve recognition was studied. Through fuzzy control methods, a fuzzy shift control system was established to amend shift strategy under curve driving condition. The results indicated that fuzzy shift control strategies based on curve recognition could not only retain the advantages of two-parameter shifting strategy, but also recognize curve conditions and avoid occurrence of unexpected shifting effectively. Vehicle comfort could be greatly improved.",
keywords = "Fuzzy control, Multi-axles Drive, Shifting strategy, Torque distribution",
author = "Mingrui Xu and Zengxiong Peng and Chao Wei",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE International Conference on Mechatronics and Automation, ICMA 2015 ; Conference date: 02-08-2015 Through 05-08-2015",
year = "2015",
month = sep,
day = "2",
doi = "10.1109/ICMA.2015.7237514",
language = "English",
series = "2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "375--380",
booktitle = "2015 IEEE International Conference on Mechatronics and Automation, ICMA 2015",
address = "United States",
}