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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2008, Vol. 9 Issue (2): 279-288    DOI: 10.1631/jzus.A071223
Electrical & Electronic Engineering     
An iterative computation method for interpreting and extending an analytical battery model
Neng-gan ZHENG, Zhao-hui WU, Man LIN, Qi-jia WANG
School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; Department of Computer Science, St. Francis Xavier University, Antigonish, NS B2G 2W5, Canada
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Abstract  Battery models are of great importance to develop portable computing systems, for whether the design of low power hardware architecture or the design of battery-aware scheduling policies. In this paper, we present a physically justified iterative computing method to illustrate the discharge, recovery and charge process of Li/Li-ion batteries. The discharge and recovery processes correspond well to an existing accurate analytical battery model: R-V-W’s analytical model, and thus interpret this model algorithmically. Our method can also extend R-V-W’s model easily to accommodate the charge process. The work will help the system designers to grasp the characteristics of R-V-W’s battery model and also, enable to predict the battery behavior in the charge process in a uniform way as the discharge process and the recovery process. Experiments are performed to show the accuracy of the extended model by comparing the predicted charge times with those derived from the DUALFOIL simulations. Various profiles with different combinations of battery modes were tested. The experimental results show that the extended battery model preserves high accuracy in predicting the charge behavior.

Key wordsAnalytical battery model      Iterative computation method      Capacity response      Charge      Discharge     
Received: 24 April 2007      Published: 20 December 2007
CLC:  TP39  
Cite this article:

Neng-gan ZHENG, Zhao-hui WU, Man LIN, Qi-jia WANG. An iterative computation method for interpreting and extending an analytical battery model. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(2): 279-288.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A071223     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2008/V9/I2/279

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