Tommaso Brienza
Battery Cell Model fitting based on Enhanced Self-Correcting Cell Model.
Rel. Luciano Rolando. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Meccanica, 2023
Abstract
Current trends of full or partial electrification of commercially available vehicles have highlighted the need for advanced onboard energy storage systems, capable of providing both long driving ranges and limited performances degradation derived from use. Great strides in this regard have been made through the adoption of battery packs composed of lithium-ion cells. It is precisely the latter that have been analyzed in this project, with the aim of building a numerical simulation model known as Enhanced Self Correcting cell Model, based on an equivalent circuit structure similar to that predicted by the more widely used Thevenin model, but with the additional capability of predicting and modeling the hysteresis phenomenon peculiar to lithium-ion cells, which modifies their actual relaxation voltage with respect to the theoretically predicted Open Circuit Voltage value.
Thus, starting from the SoC-independent model proposed by Prof
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