Robust State of Charge Estimation of Lithium-Ion Batteries via an Iterative Learning Observer General Motors Company

Format:

Conference/Event

Author/Creator:

Li, Li, author.

Contributor:

Chen, Wen

Gorski, David

Wu, Hai

Conference Name:

SAE 2012 World Congress & Exhibition (2012-04-24 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2012

Summary:

This work is to propose a new Iterative Learning Observer (ILO)-based strategy for State Of Charge (SOC) estimation. The ILO is able to estimate the SOC in real time while identifying modeling errors and/or disturbances at the same time. An Electrical-Circuit Model (ECM) is adopted to characterize the Lithium-ion battery behavior. The ILO is designed based on this ECM and the stability is proved. Several experiments are conducted and the collected data is used to extract ECM parameters. The effectiveness of the estimated SOCs via ILO is verified by the experimental results. This implies that the ILO-based SOC determination scheme is effective to identify the SOC in real time

Notes:

Vendor supplied data

Publisher Number:

2012-01-0659

Access Restriction:

Restricted for use by site license