An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batteries

Authors:
Peng Rong;Massoud Pedram
Affiliations:
University of Southern California;University of Southern California
Venue:
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
Year:
2003

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Abstract

Predicting the residual energy of the battery source that powers a portable electronic device is quite important in designing and employing an effective dynamic power management policy in the device. This paper presents a closed-form analytical model for predicting the remaining capacity of a lithium-ion battery. The proposed high-level model relies on online current and voltage measurements and, at the same time, correctly accounts for the temperature and cycle aging effects. The accuracy of the high-level model is validated by comparing our analytical model with the Dualfoil simulation results (under some simplifying assumptions), demonstrating 5% error between simulated and predicted data.