论文信息 - A Novel Model-Based Algorithm for Battery Prognosis

A Novel Model-Based Algorithm for Battery Prognosis

Abstract The paper presents an analytical formulation of a damage accumulation law for automotive batteries, derived using curve fitting of experimental data from literature. The analytical formulation shows the equivalence of the proposed model to the Palmgren-Miner fatigue model used for mechanical components. The proposed model can be used to determine the residual life of automotive batteries and is potentially implementable on-line.

[1] L. Serrao,et al. An aging model of Ni-MH batteries for hybrid electric vehicles , 2005, 2005 IEEE Vehicle Power and Propulsion Conference.

[2] G. Rizzoni,et al. Aging Characterization of Nickel: Metal Hydride Batteries Using Electrochemical Impedance Spectroscopy , 2006 .

[3] Kurt M. Marshek,et al. Fundamentals of Machine Component Design , 1991 .

[4] Christopher Suozzo,et al. Lead-Acid Battery Aging and State of Health Diagnosis , 2008 .

[5] Heinz Wenzl,et al. Life prediction of batteries for selecting the technically most suitable and cost effective battery , 2005 .

[6] Michael T. Todinov. Necessary and sufficient condition for additivity in the sense of the Palmgren–Miner rule , 2001 .

[7] Vojtech Svoboda,et al. Capacity and power fading mechanism identification from a commercial cell evaluation , 2007 .

[8] S. Drouilhet,et al. A Battery Life Prediction Method for Hybrid Power Applications Preprint , 1997 .