Modeling of the charging behavior of li-ion batteries based on manufacturer's data

The market of portable devices, wireless sensors, electric vehicles and storage systems has grown enormously in recent years. As a consequence, batteries and related technologies have become one of the major topics for researchers. Due to the large variety of applications in which batteries are involved, battery modeling is becoming an extremely important research topic. This relevance is witnessed by the number of papers addressing battery modeling. This paper proposes a methodology to build a battery model for the charge phase of secondary Lithium-Ion batteries resorting on data available in battery datasheets. The distinguishing feature of the proposed modeling methodology is that, even if the amount of information regarding the battery charge provided by manufacturers is, in most of the cases, very limited, it is able to extract anyway a model of the charging phase with a good amount of accuracy. Simulation results show, in fact, that the proposed model is able to accurately track the charge behavior with an average error of 1.35.

[1]  Donghwa Shin,et al.  An automated framework for generating variable-accuracy battery models from datasheet information , 2013, International Symposium on Low Power Electronics and Design (ISLPED).

[2]  Luca Benini,et al.  Battery-driven dynamic power management of portable systems , 2000, ISSS '00.

[3]  Matthieu Dubarry,et al.  Development of a universal modeling tool for rechargeable lithium batteries , 2007 .

[4]  Luca Benini,et al.  Discrete-time battery models for system-level low-power design , 2001, IEEE Trans. Very Large Scale Integr. Syst..

[5]  J.H.G. Op het Veld,et al.  Boostcharging Li-ion batteries: A challenging new charging concept , 2005 .

[6]  Rolf Findeisen,et al.  Optimal charging strategies in lithium-ion battery , 2011, Proceedings of the 2011 American Control Conference.

[7]  Daler N. Rakhmatov.  Battery voltage modeling for portable systems , 2009, TODE.

[8]  J. Vetter,et al.  OCV Hysteresis in Li-Ion Batteries including Two-Phase Transition Materials , 2011 .

[9]  N.K. Medora,et al.  Dynamic Battery Modeling of Lead-Acid Batteries using Manufacturers' Data , 2005, INTELEC 05 - Twenty-Seventh International Telecommunications Conference.

[10]  Luca Benini,et al.  Discharge current steering for battery lifetime optimization , 2002, ISLPED '02.

[11]  Hosam K. Fathy,et al.  Optimal Control of Film Growth in Lithium-Ion Battery Packs via Relay Switches , 2011, IEEE Transactions on Industrial Electronics.

[12]  M. Doyle,et al.  Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell , 1993 .

[13]  Min Chen,et al.  Accurate electrical battery model capable of predicting runtime and I-V performance , 2006, IEEE Transactions on Energy Conversion.

[14]  H. L. Chan,et al.  A new battery model for use with battery energy storage systems and electric vehicles power systems , 2000, 2000 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.00CH37077).

[15]  Jorge Varela Barreras,et al.  Datasheet-based modeling of Li-Ion batteries , 2012, 2012 IEEE Vehicle Power and Propulsion Conference.

[16]  Shengbo Zhang.  The effect of the charging protocol on the cycle life of a Li-ion battery , 2006 .

[17]  P. Kohl,et al.  The effects of pulse charging on cycling characteristics of commercial lithium-ion batteries , 2001 .

[18]  Xiangming He,et al.  Electro-thermal modeling and experimental validation for lithium ion battery , 2012 .

[19]  M. Jongerden,et al.  Battery Modeling , 2008 .

[20]  Danny Sutanto,et al.  A New Battery Model for use with Battery Energy Storage Systems and Electric Vehicles Power Systems , 2000 .