@inproceedings{2f9b27e2daff434aa6bc106ef863c345,
title = "Fuzzy control of clutch during mode switching of single-axis parallel hybrid electric vehicles",
abstract = "Mode switching between engine and motor has an important impact on power and driving performances of hybrid electric vehicles. In this paper, the clutch fuzzy control strategy is investigated for the process of pure electric mode switching to engine single driving mode of a single-axis parallel hybrid power system equipped with automatic mechanical transmission (AMT) as an example. Based on the dynamics of mode switching process, three fuzzy controllers are designed: a fuzzy controller of driving intentions, a fuzzy controller of clutch target engagement speed, and a fuzzy PID controller of the actuator voltage of clutch. Simulation results show that the proposed control strategy can effectively reflect the driving intentions, and make the clutch engagement fast and smooth to ensure the smoothness and efficiency of the switching process from pure electric mode to engine single driving.",
keywords = "Clutch control, Fuzzy PID algorithm, Hybrid electric vehicle (HEV), Mode switching",
author = "Jingang Ding and Xiaohong Jiao and Wei Wang and Yu Gong and Zhiqiang Wang",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8865328",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6663--6667",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
address = "United States",
}