`TVLSI-00029-2003.R1 An Analytical Model for Predicting the Remaining Battery Capacity of Lithium-Ion Batteries

Content Provider	CiteSeerX
Author	Rong, Peng Pedram, Massoud
Abstract	Abstract — Predicting the residual energy of the battery source that powers a portable electronic device is imperative in designing and applying an effective dynamic power management policy for the device. The paper starts up by showing that a 30 % error in predicting the battery capacity of a Lithium-ion battery can result in up to 20 % performance degradation for a dynamic voltage and frequency scaling algorithm. Next, this paper presents a closed-form analytical expression for predicting the remaining capacity of a lithium-ion battery. The proposed highlevel model, which relies on online current and voltage measurements, correctly accounts for the temperature and cycle aging effects. The accuracy of the high-level model is validated by comparing it with DUALFOIL simulation results, demonstrating a maximum of 5 % error between simulated and predicted data. Index Terms—Remaining battery capacity, accelerated rate capacity, temperature, cycle aging and dynamic voltage scaling T
File Format	PDF
Access Restriction	Open
Subject Keyword	Lithium-ion Battery Battery Capacity Analytical Model Index Term Rate Capacity Dynamic Voltage Battery Source Voltage Measurement High-level Model Portable Electronic Device Dynamic Voltage Scaling Highlevel Model Residual Energy Performance Degradation Effective Dynamic Power Management Policy Closed-form Analytical Expression Dualfoil Simulation Result
Content Type	Text
Resource Type	Article