(49h) Electrochemical and Thermal Modeling of Capacity Fade in Lithium Ion Batteries for Prognosis – a Reaction Kinetic Approach | AIChE

(49h) Electrochemical and Thermal Modeling of Capacity Fade in Lithium Ion Batteries for Prognosis – a Reaction Kinetic Approach

Authors 

Devalkumar, P. S. - Presenter, Indian Institute of Technology, Madras
Swaminathan, S. - Presenter, Indian Institute of Technology Madras
Suresh, R., Columbia University
Rengaswamy, R., Indian Institute of Technology Madras
Electrochemical and thermal modeling of capacity fade in Lithium ion batteries for prognosis – A reaction kinetic approach

Parth Shah1, Sathish Swaminathan1, Resmi Suresh1, Raghunathan Rengaswamy1

1Department of Chemical Engineering, IIT Madras,

Chennai, India.

Email address: raghur@iitm.ac.in

Lithium ion batteries have found widespread use in automotive industry owing to their high energy densities, longer life and reducing costs. However they are subject to unwarranted capacity loss, which is a major cause of concern for the automotive industry. Conventional battery lifetime analysis involves testing the batteries for thousands of hours using expensive and sophisticated instrumentation[1]. These tests are performed under ideal laboratory setup and do not capture variations in operating condition. However lithium ion batteries are highly sensitive to changes in operating conditions, which further affects battery life. This work extends on [2] in developing a comprehensive model to capture the capacity fade in lithium ion batteries across varying operating conditions. The model incorporates both, the electrochemical and thermal aspects. A reaction kinetics based approach has been adopted which allows for inclusion of side reactions in the capacity fade mechanism. Additional capacity fade mechanisms and failure modes could also be incorporated in the given framework allowing for quick and efficient prognosis.

References:

[1] Burns JC, Kassam A, Sinha NN, Downie LE, Solnickova L, Way BM, et al. Predicting and Extending the Lifetime of Li-Ion Batteries. J Electrochem Soc 2013;160:A1451–6. doi:10.1149/2.060309jes.

[2] Suresh, R., Rengaswamy R. Modeling Failure Modes in Li-Ion Battery. 2015 AIChE Annu. Meet., Salt Lake City, UT, USA: 2015, p. 287h.

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