Parameterization of Lumped Thermal Dynamics in Cylindrical Lithium Ion Batteries for Core Temperature Estimation and Health Monitoring

Lithium ion batteries should always be prevented from overheating and hence thermal monitoring is indispensable. Since only the surface temperature of the battery can be measured, a thermal model is needed to estimate the core temperature of the battery, which can be higher and more critical. In this paper, an online parameter identification scheme is designed for a cylindrical lithium ion battery. An adaptive observer of the core temperature is then designed based on the online parameterization methodology and the surface temperature measurement. A battery thermal model with constant internal resistance is explored first. The identification algorithm and the adaptive observer is validated with experiments on a 2.3Ah 26650 lithium iron phosphate/graphite battery. The methodology is later extended to address temperature dependent internal resistance with non-uniform forgetting factors. The capability of the methodology to track the long term variation of the internal resistance is beneficial for battery health monitoring.

[1]  A. Zukauskas.  Heat Transfer from Tubes in Crossflow , 1972 .

[2]  Arun Kumar Jaura,et al.  Dynamic Thermal Model of Li-Ion Battery for Predictive Behavior in Hybrid and Fuel Cell Vehicles , 2003 .

[3]  Robert L. Williams,et al.  Linear State-Space Control Systems , 2007 .

[4]  Alice Schoen,et al.  Resistance Growth in Lithium Ion Satellite Cells. I. Non Destructive Data Analyses , 2006 .

[5]  L. Silverberg,et al.  Convergence rate analysis of a multivariable recursive least squares parameter estimator , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[6]  Ahmad Pesaran,et al.  Thermal/electrical modeling for abuse‐tolerant design of lithium ion modules , 2010 .

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

[8]  John Newman,et al.  A General Energy Balance for Battery Systems , 1984 .

[9]  Hiroyuki Katsukawa,et al.  Degradation Mechanism and Life Prediction of Lithium-Ion Batteries , 2006 .

[10]  Youngki Kim,et al.  Hybrid electric vehicle supervisory control design reflecting estimated lithium-ion battery electrochemical dynamics , 2011, Proceedings of the 2011 American Control Conference.

[11]  J. Selman,et al.  Thermal modeling and design considerations of lithium-ion batteries , 1999 .

[12]  Yonghua Li,et al.  Quadruple adaptive observer of the core temperature in cylindrical Li-ion batteries and their health monitoring , 2012, 2012 American Control Conference (ACC).

[13]  Chao-Yang Wang,et al.  Computational battery dynamics (CBD)—electrochemical/thermal coupled modeling and multi-scale modeling , 2002 .

[14]  Stephen Yurkovich,et al.  Electro-thermal battery model identification for automotive applications , 2011 .

[15]  Jason B. Siegel,et al.  Parameterization and Observability Analysis of Scalable Battery Clusters for Onboard Thermal Management , 2013 .

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

[17]  Zhe Li,et al.  Modeling the capacity degradation of LiFePO 4/graphite batteries based on stress coupling analysis , 2011 .

[18]  M. Verbrugge,et al.  Adaptive state of charge algorithm for nickel metal hydride batteries including hysteresis phenomena , 2004 .

[19]  Petros A. Ioannou,et al.  Robust Adaptive Control , 2012 .

[20]  Matthew P. Castanier,et al.  Parameterization and Validation of an Integrated Electro-Thermal Cylindrical LFP Battery Model , 2012 .

[21]  Bhaskar Saha,et al.  Prognostics Methods for Battery Health Monitoring Using a Bayesian Framework , 2009, IEEE Transactions on Instrumentation and Measurement.

[22]  Chaoyang Wang,et al.  Thermal‐Electrochemical Modeling of Battery Systems , 2000 .

[23]  Hossein Maleki,et al.  Thermal analysis and modeling of a notebook computer battery , 2003 .

[24]  L. Guzzella,et al.  Experiment-driven electrochemical modeling and systematic parameterization for a lithium-ion battery cell , 2010 .