Integrated modeling for the cyclic behavior of high power Li-ion batteries under extended operating conditions

The dynamic thermal and electrical behavior of high power LiFePO4 cathode-type Li-ion batteries is studied with extended considerations such as demanded current ranging from 12 to 30A, battery temperatures ranging from 283 to 313K and a redefinition of the concept of state of charge during cycling conditions. The equivalent electrical model, consisting of a series resistance, a parallel resistance–capacitor, a voltage source and state of charge calculators, can be improved with the addition of current and temperature gains for each element. In addition, a non-intrusively-obtained alternative thermal model extraction is proposed to uncouple from the experimental battery temperature based on electrochemical research found in the literature. This improved model extraction for high power cylindrical batteries can achieve a temperature and voltage relative runtime error in the range of 1% and 5% in average, respectively. The effects of lithium concentration in the anode and cathode are accurately predicted with state of charge accelerators, which vary linearly with temperature. Aiming for a power systems environment, the integrated battery model is built and validated experimentally to demonstrate its accurate prediction. This improved integrated battery model can be employed for battery stack simulations, improved state of charge algorithm testing and optimization of hybrid systems - with a light computational demand. Finally, a performance index radar plot is proposed to conveniently compare electrical and thermal properties of different types of batteries.

[1]  Mohsen Kalantar,et al.  Power management of PV/battery hybrid power source via passivity-based control , 2011 .

[2]  Dragan Simic Thermal modelling, simulation and evaluation of a high power battery cell for automotive applications , 2010, 2010 IEEE Vehicle Power and Propulsion Conference.

[3]  Santanu Bandyopadhyay,et al.  Optimum sizing of wind-battery systems incorporating resource uncertainty , 2010 .

[4]  Zonghai Chen,et al.  A new model for State-of-Charge (SOC) estimation for high-power Li-ion batteries , 2013 .

[5]  Jamie Gomez,et al.  Equivalent circuit model parameters of a high-power Li-ion battery: Thermal and state of charge effects , 2011 .

[6]  Ralph B. Dinwiddie,et al.  Thermal properties of lithium-ion battery and components , 1999 .

[7]  C. Moo,et al.  Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries , 2009 .

[8]  V. Subramanian,et al.  Towards real-time (milliseconds) parameter estimation of lithium-ion batteries using reformulated physics-based models , 2008 .

[9]  M. Safari,et al.  Aging of a Commercial Graphite/LiFePO4 Cell , 2011 .

[10]  Dinh Vinh Do,et al.  Thermal modeling of a cylindrical LiFePO4/graphite lithium-ion battery , 2010 .

[11]  Linda Barelli,et al.  Optimization of a PEMFC/battery pack power system for a bus application , 2012 .

[12]  K. Tsang,et al.  Identification and modelling of Lithium ion battery , 2010 .

[13]  D. Jeon,et al.  Thermal modeling of cylindrical lithium ion battery during discharge cycle , 2011 .

[14]  Chaoyang Wang,et al.  Power and thermal characterization of a lithium-ion battery pack for hybrid-electric vehicles , 2006 .

[15]  S. Ben-Yaakov,et al.  Modeling and Analysis of Thermoelectric Modules , 2005, IEEE Transactions on Industry Applications.

[16]  A. Pesaran,et al.  Thermal characteristics of selected EV and HEV batteries , 2001, Sixteenth Annual Battery Conference on Applications and Advances. Proceedings of the Conference (Cat. No.01TH8533).

[17]  Marcelle C. McManus,et al.  Environmental consequences of the use of batteries in low carbon systems: The impact of battery production , 2012 .

[18]  Dirk Uwe Sauer,et al.  Experimental investigation of the lithium-ion battery impedance characteristic at various conditions and aging states and its influence on the application , 2013 .

[19]  Weijun Gu,et al.  Online cell SOC estimation of Li-ion battery packs using a dual time-scale Kalman filtering for EV applications , 2012 .

[20]  Jae Sik Chung,et al.  A Multiscale Framework with Extended Kalman Filter for Lithium-Ion Battery SOC and Capacity Estimation , 2010 .

[21]  John O. Thomas,et al.  Thermal stability of LiFePO4-based cathodes , 1999 .

[22]  D. Sauer,et al.  Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries , 2011 .

[23]  Yi-Hsuan Hung,et al.  On-line supercapacitor dynamic models for energy conversion and management , 2012 .

[24]  Majid Bahrami,et al.  Temperature Rise in Prismatic Polymer Lithium-Ion Batteries: An Analytic Approach , 2012 .

[25]  David R. Ely,et al.  Heterogeneous Nucleation and Growth of Lithium Electrodeposits on Negative Electrodes , 2013 .

[26]  Ralph E. White,et al.  Mathematical modeling of a lithium ion battery with thermal effects in COMSOL Inc. Multiphysics (MP) , 2011 .

[27]  H. Razik,et al.  Estimation of the SOC and the SOH of li-ion batteries, by combining impedance measurements with the fuzzy logic inference , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[28]  Charles W. Monroe,et al.  Direct in situ measurements of Li transport in Li-ion battery negative electrodes , 2009 .

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

[30]  Georg Brasseur,et al.  Modeling of high power automotive batteries by the use of an automated test system , 2003, IEEE Trans. Instrum. Meas..

[31]  Clemente Capasso,et al.  Dynamic behaviour of Li batteries in hydrogen fuel cell power trains , 2011 .