Modeling battery management system using the lithium-ion battery

Battery-powered electronics devices have become well-verse in the current society. The rapid growth of the use of portable devices such as portable computers, personal data assistants, cellular phones and Hybrid Electrical Vehicles (HEVs) creates a strong claim for fast deployment of the battery technologies at an extraordinary rate. The design of a battery-power-driven device requires many battery-management features, including charge control, battery-capacity monitoring, remaining run-time information and charge-cycle counting. Compare to other batteries, lithium battery has the highest power density, energy density and the longest cycle life. The main objective is to develop a battery management system model to ensure that optimum use is made of the energy inside the battery powering the portable device and that the risk of damage to the battery is prevented. Modeling a battery management system by studying the charging and discharging characteristic curve of the lithium-ion battery is being proposed in this research project.

[1]  Kai Ding,et al.  Battery-Management System (BMS) and SOC Development for Electrical Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[2]  R. Spotnitz.  Simulation of capacity fade in lithium-ion batteries , 2003 .

[3]  Eckhard Karden,et al.  Energy storage devices for future hybrid electric vehicles , 2007 .

[4]  Gregory L. Plett,et al.  Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 2. Modeling and identification , 2004 .

[5]  E. Karden,et al.  Dynamic modelling of lead/acid batteries using impedance spectroscopy for parameter identification , 1997 .

[6]  B. Vural,et al.  A dynamic lithium-ion battery model considering the effects of temperature and capacity fading , 2009, 2009 International Conference on Clean Electrical Power.

[7]  L.-A. Dessaint,et al.  A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles , 2007, 2007 IEEE Vehicle Power and Propulsion Conference.

[8]  Siguang Li,et al.  Study on Battery Management System and Lithium-ion Battery , 2009, 2009 International Conference on Computer and Automation Engineering.

[9]  Yamei Li,et al.  Battery Management System , 2010, 2010 International Conference on Measuring Technology and Mechatronics Automation.

[10]  Ralph E. White,et al.  Mathematical modeling of the capacity fade of Li-ion cells , 2003 .

[11]  C. M. Shepherd.  Design of Primary and Secondary Cells II . An Equation Describing Battery Discharge , 1965 .

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

[13]  Jianqiu Li,et al.  Power management strategy for vehicular-applied hybrid fuel cell/battery power system , 2009 .

[14]  Jian Yang,et al.  Research on Li-ion Battery Management System , 2010, 2010 International Conference on Electrical and Control Engineering.

[15]  Gregory L. Plett,et al.  Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs: Part 3. State and parameter estimation , 2004 .

[16]  Guy Friedrich,et al.  Modelling Ni-mH battery using Cauer and Foster structures , 2006 .

[17]  Andrew Cruden,et al.  Dynamic model of a lead acid battery for use in a domestic fuel cell system , 2006 .