Super-capacitor multi-fractional-order model parameter identification method based on time domain discretization

Abstract

The invention discloses a super-capacitor multi-fractional-order model parameter identification method based on time domain discretization. The method comprises the following steps: 1) determining an appropriate super-capacitor multi-fractional-order model and to-be-identified parameters; 2) establishing a multi-fractional-order transfer function; 3) performing inverse Laplace transformation on a fractional calculus operator in the transfer function; 4) performing discretization approximate processing on the continuous multi-fractional calculus equation; 5) in order to obtain parameters to be identified in the equation, performing DST dynamic stress test on the super capacitor, and collecting actually measured voltage and current; 6) performing population optimization identification on the to-be-identified parameters; 7) substituting the optimal identification parameter into the multi-fractional-order model, and calculating the terminal voltage of the model; and 8) comparing the calculated voltage with the actually measured voltage, if the error meets the requirement, determining that the identification is successful, otherwise, reconstructing the super-capacitor multi-fractional-order model until the error meets the requirement. According to the method, the modeling precision of the super capacitor can be improved, and support is provided for precise charging and discharging control of the super capacitor.

Description

technical field [0001] The present invention relates to the technical field of supercapacitors, in particular to a time-domain discretization-based multi-fractional model parameter identification method for supercapacitors. Background technique [0002] With the rapid development of the global economy, the rapid consumption of fossil energy and the deteriorating environmental pollution. Human beings' demand for sustainable and renewable energy is increasing, and research on clean and efficient energy storage components has been carried out in depth. As a new type of energy storage element, supercapacitors have characteristics between conventional capacitors and chemical batteries. They have the advantages of short charge and discharge time, high power density, long cycle life, and wide operating temperature range. They are widely used in auxiliary peak power, backup Various application backgrounds such as power supply, storage and regenerative energy, and alternative power ...

AI Technical Summary

Problems solved by technology

However, there are relatively few studies on the modeling of multi-fractional components proposed for supercapacitors. This is due to the fact that multiple free-order fractional components contain a large number of complex fractional calculus operations, and there is a certain degree of difficulty in identification.

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