Development of a one-dimensional thermal-electrochemical model of lithium ion battery

Thermal management of lithium ion battery is a crucial aspect in holistic battery management system (BMS), and the real-time estimation of internal thermal distribution in each battery cell is the key to successful thermal management. In this paper, a physics-based thermal-electrochemical model integrated with actions of electrode reaction, joule heating, heat conduction and heat convection is developed to predict the internal temperature of a battery cell in real time by relying on only the non-intrusive measurements of cell surface temperature and electrical quantities. The modeling approach started from the microscopic electrochemical reaction in the battery interior and ended up with the macro distribution of temperature throughout the cell, with the potential of application in BMS. The temperature distribution of a battery cell under a constant discharge rate has been simulated using the proposed model. The simulated results have been validated by comparison with experimental data.

[1]  R. Spotnitz,et al.  Abuse behavior of high-power, lithium-ion cells , 2003 .

[2]  Chaoyang Wang,et al.  Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells I. Model Development , 1998 .

[3]  M. Verbrugge,et al.  Temperature and Current Distribution in Thin‐Film Batteries , 1999 .

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

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

[6]  Chaoyang Wang,et al.  Analysis of Electrochemical and Thermal Behavior of Li-Ion Cells , 2003 .

[7]  Ka Lok Man,et al.  Towards a hybrid approach to SoC estimation for a smart Battery Management System (BMS) and battery supported Cyber-Physical Systems (CPS) , 2012, 2012 2nd Baltic Congress on Future Internet Communications.

[8]  Farschad Torabi,et al.  Study of Thermal-Runaway in Batteries I. Theoretical Study and Formulation , 2011 .

[9]  Y. Nishi Lithium ion secondary batteries; past 10 years and the future , 2001 .

[10]  Rudi Kaiser,et al.  Optimized battery-management system to improve storage lifetime in renewable energy systems , 2007 .

[11]  Bor Yann Liaw,et al.  Micro‐Macroscopic Coupled Modeling of Batteries and Fuel Cells II. Application to Nickel‐Cadmium and Nickel‐Metal Hydride Cells , 1998 .

[12]  Chien-Ming Wang,et al.  Battery management system with dual-balancing mechanism for LiFePO4 battery module , 2011, TENCON 2011 - 2011 IEEE Region 10 Conference.

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

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

[15]  A. Jossen,et al.  Reliable battery operation — a challenge for the battery management system , 1999 .

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

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

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

[19]  G. Venugopal Characterization of thermal cut-off mechanisms in prismatic lithium-ion batteries , 2001 .

[20]  J. Tarascon,et al.  Comparison of Modeling Predictions with Experimental Data from Plastic Lithium Ion Cells , 1996 .

[21]  Weifeng Fang,et al.  Electrochemical–thermal modeling of automotive Li‐ion batteries and experimental validation using a three‐electrode cell , 2010 .

[22]  K. L. Man,et al.  Towards a Hybrid Approach to SoC Estimation for a Smart Battery Management System ( BMS ) and Battery Supported Cyber-Physical Systems ( CPS ) , 2012 .