Supercapacitor charge state estimating method based on Kalman filtering algorithm
A technology of supercapacitor and Kalman filter, which is applied in the direction of instruments, measuring electricity, and measuring electrical variables, etc. It can solve the problems of no automatic error correction mechanism and the estimation of the state of charge of supercapacitors cannot meet the accuracy requirements, so as to improve energy utilization efficiency And the effect of working life, improving safety and reliability
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[0024] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is carried out on the premise of the technical solution of the present invention, and detailed implementation and specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.
[0025] Supercapacitor state of charge estimation method in the present invention comprises the following steps:
[0026] 1) Collect real-time voltage and current values of supercapacitors in working state.
[0027] 2) Based on the experimental data in step 1), the online parameter identification of the supercapacitor model is carried out by using the least square method.
[0028] As shown in the figure, the equivalent circuit model of the supercapacitor under normal working conditions is established, and the model parameters are identified online. Based on the identification model...
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