A stochastic approach to online vehicle state and parameter estimation, with application to inertia estimation for rollover prevention and battery charge/health estimation.

Fathy, Hosam K.; Sandu, Corina; Unnikrishnan, Avinash; Thomas D. Larson Pennsylvania Transportation Institute; Virginia Polytechnic Institute and State University; West Virginia University

Advanced Search

Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.

Search our Collections & Repository

Advanced Search
Custom Query

All these words:

For very narrow results

This exact word or phrase:

When looking for a specific result

Any of these words:

Best used for discovery & interchangable words

None of these words:

Recommended to be used in conjunction with other fields

Language:

Dates

Publication Date Range:

to

Document Data

Title:

Document Type:

Library

Collection:

Series:

People

Author:

Clear All

Query Builder

Query box

Clear All

For additional assistance using the Custom Query please check out our Help Page

i

A stochastic approach to online vehicle state and parameter estimation, with application to inertia estimation for rollover prevention and battery charge/health estimation.

2013-08-01
By Fathy, Hosam K. ; Sandu, Corina ; Unnikrishnan, Avinash

[PDF-1.88 MB]

English

Details You May Also Like

Details:

Creators:

Fathy, Hosam K. ; Sandu, Corina ; Unnikrishnan, Avinash

Fathy, Hosam K. ; Sandu, Corina ; Unnikrishnan, Avinash Less -
Corporate Creators:

Thomas D. Larson Pennsylvania Transportation Institute ; Virginia Polytechnic Institute and State University ; West Virginia University

Thomas D. Larson Pennsylvania Transportation Institute ; Virginia Polytechnic Institute and State University ; West Virginia University Less -
Corporate Contributors:

University Transportation Centers Program (U.S.)
Subject/TRT Terms:

[+]

Algorithms Diagnostic Tests Inertia (Mechanics) Lithium Batteries Polynomials Real Time Information Rollover Accidents Stochastic Processes Vehicle Safety
Publication/ Report Number:

MAUTC-2010-02
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Mid-Atlantic Universities Transportation Center
Abstract:

This report summarizes research conducted at Penn State, Virginia Tech, and West Virginia University on the development of algorithms based on the generalized polynomial chaos (gpc) expansion for the online estimation of automotive and transportation system parameters from experimental data. The authors used gpc estimation for determining the state of charge and state of health of a lithium-ion battery in real time, and also for the determination of road-vehicle inertial parameters in real time. The overarching goals in these two applications are to improve vehicle safety through better battery diagnostics and better inertia estimate-based rollover prevention. The authors performed experimental validation studies for both of these applications. Finally, the authors began exploring the application of gpc-based estimation for stochastic traffic flow models.
Format:

PDF
Funding:

DTRT07-G-0003
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:362d6ee8f5d84fe1fef4abd6305256caf1c3d6a600a6407d76fb98b9c73cae23
Download URL:

https://rosap.ntl.bts.gov/view/dot/26552/dot_26552_DS1.pdf
File Type:

No Additional Files

More +

A stochastic approach to online vehicle state and parameter estimation, with application to inertia estimation for rollover prevention and battery charge/health estimation.

Details:

Supporting Files

You May Also Like