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  • https://doi.org/10.1109/icsc58660.2023.10449745Copy DOI Icon

Identification of Equivalent Circuit Model Parameters for a Li-ion Battery Cell

  • Dec 18, 2023
  • Filip Rukavina +5 more
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Abstract

Batteries raise issues in electric vehicles because of their limited range and lifespan. They can however be extended by implementing smart, accurate and computationally inexpensive control algorithms. Herein, a lithium-ion battery cell is modelled with an equivalent circuit model which is complex enough to track the output voltage of the cell while remaining simple enough to be used in a control algorithm. This work presents the identification procedure of equivalent circuit model parameters for a lithium-ion battery cell by applying high currents to the cell. Consequently, high accuracy was achieved for the whole range of possible currents. The parameters were identified on a dataset with high currents, while the model was evaluated on a different dataset acquired from a real electric vehicle usage data. Metrics from both the identification and the validation datasets are similar meaning that the model generalises well.

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