Development of thermal model for estimation of core temperature of batteries
2020
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.
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