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Battery model parameter identification method based on multi-innovation recursive Bayesian algorithm

A Bayesian algorithm and parameter identification technology, applied in the field of lithium-ion batteries, which can solve problems such as large amount of calculation and premature convergence.

Active Publication Date: 2021-03-19
NANTONG UNIVERSITY
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  • Application Information

AI Technical Summary

Problems solved by technology

Swarm intelligence algorithms, such as particle swarm optimization and its improved algorithms, can be better applied to different working conditions, but there are also problems of large amount of calculation and premature convergence

Method used

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  • Battery model parameter identification method based on multi-innovation recursive Bayesian algorithm
  • Battery model parameter identification method based on multi-innovation recursive Bayesian algorithm
  • Battery model parameter identification method based on multi-innovation recursive Bayesian algorithm

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Embodiment 1

[0096]SeeFigure 1 to 9 The present embodiment is based on the pendant lithium ion battery NCR-18650B, and the calibration voltage is 3.7V, and the battery capacity is 3400 mAh. The battery is charged with a constant current charging method (0.5c) to the cutoff voltage, and after standing for 1 h, the battery is full of power. The battery operates in a relatively constant current discharge mode: discharge 5 min, stands for 30 min, and the discharge current is 3400mA, the discharge rate is 1c. This process is repeated until the voltage drops to the discharge cutoff voltage. Test voltage curve and current curve such asFigure 4 Indicated. Through this experiment, the multi-new sync-entered Bayesian algorithm can recognize each model parameters, the algorithm maintains relatively stable when the input current is unstable oscillation, and the selection and actual value of the initial value of the parameters are maintained. Infusion, the initial fluctuation of identification is more obviou...

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Abstract

The invention provides a battery model parameter identification method based on a multi-innovation recursive Bayesian algorithm. The method comprises the following steps of: 1), measuring the terminalvoltage and load current data of a lithium ion battery in a certain period of time through an intermittent constant-current discharge method, and determining the function relation of an OCV-SOC of the lithium ion battery through a polynomial fitting method; 2) determining a dual-polarization equivalent circuit model of the lithium ion battery, and establishing a system equation representing a relation between a battery parameter identification vector and system output; and 3) constructing an identification process of the multi-innovation recursive Bayesian algorithm. According to the method of the invention, an ARX model for lithium ion battery parameter identification is established; the result of the previous moment is corrected by utilizing an innovation correction technology; an innovation length parameter is introduced based on the multi-innovation identification method, so that the influence of bad data on parameter estimation is overcome, and the parameter estimation precisionis improved; and the parameter identification result shows that the method is high in identification precision and has engineering value.

Description

Technical field[0001]The present invention relates to the field of lithium ion batteries, and in particular, to a battery model parameter identification method based on multi-new symbol-based Bayesian algorithm.Background technique[0002]With the development of the transportation industry, the shortage of resources, environmental pollution and safety problems are growing, and the new energy industry has risen, and new energy vehicles have received more and more attention. Accordingly, the energy storage system has become a revolutionary technology that promotes renewable energy consumption due to its ability to flexibly configure, response speed and easy operation maintenance, and battery energy storage has a wide range of application prospects in new energy access. Lithium-ion batteries have long life, low self-discharge effect, and energy density, and have become the main battery energy storage element. Lithium-ion batteries are electrochemical systems that are nonlinear, affected ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G06N7/00
CPCG01R31/367G06N7/01
Inventor 李俊红李磊顾菊平华亮刘慧霞杨奕李政蒋泽宇
Owner NANTONG UNIVERSITY
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