NDLI: A federated filter design of electronic stability control for electric-wheel vehicle

Content Provider	IEEE Xplore Digital Library
Author	Wang, Cheng Song, Chuanxue Li, Jianhua
Copyright Year	2015
Description	Author affiliation: College of Automotive Engineering, College of Plant Science Jilin University, Changchun, China (Wang, Cheng) \|\| College of Automotive Engineering, Jilin University, Changchun, China (Song, Chuanxue; Li, Jianhua)
Abstract	The aim of this study is to improve the convergence speed and accuracy of the filter in the ESC (Electronic Stability Control) of electric-wheel vehicle. A federated filter is designed based on an improved UKF (Unscented Kalman Filter). The federated filter is composed of a vehicle speed filter and a road adhesion coefficient filter. The two filters are connection and correction each other. In the improved UKF, a scaled minimal skew sampling strategy is used to reduce the number of sampling points and avoid the local effects. A tracking adjustment factor and a resisted demission error factor are added to the improved UKF algorithm. These factors are used to enhance the tracking performance and eliminate the outliers of the system measured value. An electric-wheel vehicle dynamics model is established for the federated filter. Simulation experiments of the vehicle speed estimation and the road adhesion coefficient estimation were done. The road adhesion coefficient was 0.8 and 0.2. The initial vehicle speed was 100 and 90 kilometers per hour. The results shown the federated filter could shorten the delay time and reduce the overshoot. The federated filter is fit for the ESC of electric-wheel vehicle.
Starting Page	1105
Ending Page	1110
File Size	274787
Page Count	6
File Format	PDF
e-ISBN	9781467390989
DOI	10.1109/CISP.2015.7408045
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	improved Unscented Kalman Filter Roads Wheels federated filter electric-wheel vehicle Filtering algorithms vehicle model Filtering theory Mathematical model Vehicle dynamics Electronic Stability Control Vehicles
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Path planning for a four wheel driven electric vehicle

An Unscented Kalman Filter based wave filtering algorithm for dynamic ship positioning

Data fusion for autonomous vehicle navigation based on federated filtering

Wheel slip controller for the regenerative braking of electric vehicle: Experimental results with a three wheels recreational hybrid vehicle

Torque-vectoring stability control of a four wheel drive electric vehicle

Optimal vehicle stability control design based on preview game theory concept

Motor torque based vehicle stability control for four-wheel-drive electric vehicle

Dynamics control of an In-Wheel Electric Vehicle with Steer-by-Wire

Fuzzy-Logic-Based Controller Design for Four-wheel-drive Electric Vehicle Yaw Stability Enhancement

A federated filter design of electronic stability control for electric-wheel vehicle

Similar Documents

Path planning for a four wheel driven electric vehicle

An Unscented Kalman Filter based wave filtering algorithm for dynamic ship positioning

Data fusion for autonomous vehicle navigation based on federated filtering

Wheel slip controller for the regenerative braking of electric vehicle: Experimental results with a three wheels recreational hybrid vehicle

Torque-vectoring stability control of a four wheel drive electric vehicle

Optimal vehicle stability control design based on preview game theory concept

Motor torque based vehicle stability control for four-wheel-drive electric vehicle

Dynamics control of an In-Wheel Electric Vehicle with Steer-by-Wire

Fuzzy-Logic-Based Controller Design for Four-wheel-drive Electric Vehicle Yaw Stability Enhancement

A federated filter design of electronic stability control for electric-wheel vehicle