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Development of thermal model for estimation of core temperature of batteries

  • Sumukh Surya ORCID logo EMAIL logo , Amit Bhesaniya , Aditya Gogate , Raghav Ankur and Vineeth Patil
Published/Copyright: August 31, 2020

Abstract

Core temperature (Tc) estimation plays an important in role in establishing an effective thermal management system of a battery. In the present work, Tc of a lead acid (Pb) battery was estimated using a Kalman filter, based on a thermal model of the battery using convection resistances and capacitances. The governing equations based on measured surface temperature (Ts) and ambient temperature (Tamb) were derived. Since Tc cannot be measured directly, estimation technique was used to predict the same using measured Ts and Tamb. Five test cases for which the profiles of Tc versus time were available were analyzed. It was found that the errors in the predictions varied from 0.25 °C to 3.5 °C., depending on the nature of Tc profiles, with minimum errors when Tc has slow variations with time.


Corresponding author: Sumukh Surya, Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal, India, E-mail:

Acknowledgment

The authors would like to express sincere thanks to Mr. Debango Chakraborthy, Designer, KPIT, Bangalore for guidance and assistance.

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-04-08
Accepted: 2020-07-30
Published Online: 2020-08-31

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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