@inproceedings{2849f56426a449c89426b21e9565698b,
title = "The research of traction control for the distributed driven electric vehicle",
abstract = "The distributed driven electric vehicles(DDEV) employ multiple motors driven systems which effectively achieves the electronic chassis and the active safety of vehicle. In this paper, a two-stage strategies of traction control system (TCS) for the DDEV were proposed. In the first stage, a method based on the Single-layer feed-forward neural networks system (SFNN) trained by Extreme Learning Machine (ELM) is proposed for the road condition classification. In the second stage, the Active Disturbance Rejection Control (ADRC)was proposed to design the TCS. The simulation testing results show that the two-stage strategies is designed feasibly and response quickly.",
keywords = "distributed driving, electric vehicle, road identification, traction control system",
author = "Gang Wang and Liu, \{Xin Lei\} and Cheng Lin and Zhang, \{Ke Song\}",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 ; Conference date: 31-08-2014 Through 03-09-2014",
year = "2014",
month = oct,
day = "30",
doi = "10.1109/ITEC-AP.2014.6941092",
language = "English",
series = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "IEEE Transportation Electrification Conference and Expo, ITEC Asia-Pacific 2014 - Conference Proceedings",
address = "United States",
}