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Interpreting and Extending an Analytical Battery Model Using an Iterative Computation Method

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4 Author(s)
Nenggan Zheng ; Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou ; Wu, Zhaohui ; Man Lin ; Qijia Wang

In this paper, the authors present an iterative computing method to illustrate the discharge, recovery and charge process of general lithium/lithium-ion batteries. The discharge and recovery processes correspond well to an existing accurate analytical battery model: the R-V-W's analytical model, and thus interpret this model algorithmically. Our method also extends R-V-W's model to accommodate the charge process. The work will help the system designers to grasp the characteristics of R-V-W's battery model. Experiments are performed on a variety of load profiles to show the accuracy of the extended model by comparing the predicted charge time with that derived from the DUALFOIL simulations

Published in:
VLSI Design, 2007. Held jointly with 6th International Conference on Embedded Systems., 20th International Conference on

Date of Conference: 6-10 Jan. 2007

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