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CLC number: TP39

On-line Access: 2007-12-20

Received: 2007-04-24

Revision Accepted: 2007-07-19

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.2 P.279-288


An iterative computation method for interpreting and extending an analytical battery model

Author(s):  Neng-gan ZHENG, Zhao-hui WU, Man LIN, Qi-jia WANG

Affiliation(s):  School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   zng@cs.zju.edu.cn, wzh@cs.zju.edu.cn, mlin@stfx.ca

Key Words:  Analytical battery model, Iterative computation method, Capacity response, Charge, Discharge

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

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A1 - Qi-jia WANG
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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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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