Fast Battery Parameters Identification Algorithm Based on Equivalent Circuit Model Polarization Network Comprehensive Impedance Quantification

Le résumé fourni par la source

The RC network in the equivalent circuit model (ECM) can accurately describe the transient of lithium batteries. However, it has many combinations of optimal parameter values, which makes it difficult for the identification results of each parameter to converge to a clear quantitative value and to independently reflect engineering value. This paper proposes a method of quantifying the impedance values of multiple RC networks in ECM into a single value impedance, which is suitable for offline rapid identification of battery parameters with strict measurement time limitations. It uses a window-based algorithm to simultaneously observe the parameters and states of the 2RCECM model over a continuous period of time. In the subsequent result quantification stage, it extracts the equivalent impedance of the entire transient network based on the excitation current and voltage observations of the 2RC network. In this way, it bypasses the separate quantification of the four circuit parameters of the 2RC network, thereby achieving stable identification of open circuit voltage, ohmic resistance, and polarization resistance simultaneously. Comparative tests using multiple methods show that it can accurately distinguish between ohmic resistance and polarization resistance, and the parameter identification results are stable, reliable, and have good adaptability to working conditions.

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