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Barajas et al. US Patent 7,761,389 Granted

Jul 27th, 2010 | By | Category: Featured Articles, Patents
United States Patent 7,761,389
Medasani, Barajas   et al. July 20, 2010

Method for anomaly prediction of battery parasitic load.

Abstract

Anomaly prediction of battery parasitic load includes processing input data related to a state of charge for a battery and a durational factor utilizing a machine learning algorithm and generating a predicted start-up state of charge. Warnings are issued if the predicted start-up state of charge drops below a threshold level within an operational time.

Inventors: Medasani; Swarup (Thousand Oaks, CA), Jiang; Qin (Woodland Hills, CA), Srinivasa; Narayan (Oak Park, CA), Zhang; Yilu (Northville, MI), Barajas; Leandro G. (Troy, MI), Kapsokavathis; Nick S. (Shelby Township, MI)
Assignee: GM Global Technology Operations, Inc. (Detroit, MI)
Appl. No.: 11/843,876
Filed: August 23, 2007



A method for anomaly prediction of parasitic load on a battery comprising:
processing input data related to a state of charge for the battery and a durational factor, wherein said processing comprises a machine learning algorithm and is operative to generate a predicted start-up state of charge; and indicating a warning if said predicted start-up state of charge is below a threshold level within an operational time.

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