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CLC number: TP39

On-line Access: 2007-12-20

Received: 2007-04-24

Revision Accepted: 2007-07-19

Crosschecked: 0000-00-00

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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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%A Zhao-hui WU
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%DOI 10.1631/jzus.A071223

T1 - An iterative computation method for interpreting and extending an analytical battery model
A1 - Neng-gan ZHENG
A1 - Zhao-hui WU
A1 - Man LIN
A1 - Qi-jia WANG
J0 - Journal of Zhejiang University Science A
VL - 9
IS - 2
SP - 279
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A071223

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


[1] Bard, A.J., Faulkner, L.R., 2000. Electrochemical Methods: Fundamentals and Applications (2nd Ed.). Wiley, New York.

[2] Benini, L., Castelli, G., Macci, A., Macii, E., Poncino, M., Scarsi, R., 2001. Discrete-time battery models for system-level low-power design. IEEE Trans. on VLSI Systems, 9(5):630-640.

[3] Cai, Y., Schmitz, M.Y., Al-Hashimi, B.M., Reddy, S.M., 2005. Workload-Ahead-Driven Online Energy Minimization Techniques for Battery-Powered Embedded Systems with Time-Constraints. Proc. IFIP Int. Conf. on Very Large Scale Integration, p.1-6.

[4] Chiasserini, C.F., Rao, R.R., 2001. Energy efficient battery management. IEEE J. Selected Areas Commun., 19(7):1235-1245.

[5] Doyle, M., Fuller, T.F., Newman, J., 1994. Modeling of galvanostatic charge and discharge of the lithium polymer insertion cell. J. Electrochem. Soc., 141(1):1-9.

[6] Gold, S., 1997. A PSPICE Macromodel for Lithium-Ion Batteries. Proc. 12th Ann. Battery Conf. Applications and Advances, p.215-222.

[7] Gu, W.B., Wang, C.Y., 2000. Thermal-electrochemical modeling of battery systems. J. Electrochem. Soc., 147(8):2910-2922.

[8] Newman, J., Thomas, K.E., 2004. Electrochemical Systems (3rd Ed.). Wiley-Interscience Press, New York.

[9] Polyanin, A.D., 2002. Handbook of Linear Partial Differential Equations for Engineers and Scientists. CRC Press, Boca Raton.

[10] Rakhmatov, D., Vrudhula, S., Wallach, D.A., 2003. A model for battery lifetime analysis for organizing applications on a pocket computer. IEEE Trans. on VLSI Systems, 11(6):1019-1030.

[11] Rao, R., Vrudhula, S., Rakhmatov, D., 2003. Battery modeling for energy-aware system design. IEEE Computer, 36(12):77-87.

[12] Rao, R., Vrudhula, S., Chang, N., 2005. Battery Optimization vs Energy Optimization: Which to Choose and When? Proc. Int. Conf. on Computer Aided Design, p.438-444.

[13] Rong, P., Pedram, M., 2006. An analytical model for predicting the remaining battery capacity of lithium-ion batteries. IEEE Trans. on VLSI Systems, 14(5):441-451.

[14] Song, L., Evans, J.W., 2000. Electrochemical-thermal model of lithium polymer batteries. J. Electrochem. Soc., 147(6):2086-2095.

[15] Zhuo, J., Chakrabarti, C., 2005. An Efficient Task Scheduling Algorithm for Battery Powered DVS Systems. Proc. IEEE Asia and South Pacific Design Automation Conf., p.846-849.

[16] Zhuo, J., Chakrabarti, C., Lee, K., Chang, N., 2007. Dynamic Power Management with Hybrid Power Sources. Proc. 44th ACM/IEEE Design Automation Conf., p.871-876.

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