Key parameter robust identification method in lead acid battery model empirical formula

A technology based on empirical formulas and key parameters, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., to achieve the effect of fast calculation speed

Active Publication Date: 2013-12-25
JIANGSU OLITER ENERGY TECH
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  • Description
  • Claims
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However, there is currently no effective way to achieve this goal in this technical field.

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  • Key parameter robust identification method in lead acid battery model empirical formula
  • Key parameter robust identification method in lead acid battery model empirical formula
  • Key parameter robust identification method in lead acid battery model empirical formula

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[0019] Below in conjunction with accompanying drawing and specific embodiment, further illustrate the present invention, should be understood that these embodiments are only for illustrating the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various aspects of the present invention Modifications in equivalent forms all fall within the scope defined by the appended claims of this application.

[0020] First, the lead-acid battery is subjected to m-group charging experiments, and the terminal voltage of the battery is measured during the charging process. recharging current and SOC value The SOC is measured by the ampere-hour method, where C r is the remaining battery capacity, C a Is the rated capacity of the battery, I is the discharge current, and then by C r / C a available And the terminal voltage and charging current can be read from the met...

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Abstract

The invention discloses a key parameter robust identification method in a lead acid battery model empirical formula. The method comprises: first of all, carrying out a plurality of charging experiments on a lead acid battery, and measuring the end voltage, the charging current and the SOC value of the battery during a charging process; establishing a nonlinear optimization problem of robust parameter identification by taking the data obtained from recording in the experiments; solving the problem by using Newton's method of nucleus width adjusting, and obtaining a local optimal solution (usually a global optimal solution ) of the optimization problem, after the optimal solution is obtained, obtaining the key parameters in a model, and accordingly obtaining the empirical formula of the lead acid battery model. The key parameters in the lead acid model empirical formula are obtained by solving the optimization problem which is based on minimum information entropy loss, and poor measurements can be automatically eliminated in the solving process, so that a result with higher robustness can be obtained, the efficiency and precision are also quite high, and the availability of the method is high.

Description

technical field [0001] The invention belongs to the technical field of lead-acid batteries, in particular to an identification method of key parameters in an empirical formula method in a battery model. Background technique [0002] In the battery management system, in order to clarify the quantitative relationship between the external electrical characteristics of the battery and the internal state, a mathematical model needs to be established to calculate the internal states such as SOC, SOH, internal resistance, and electromotive force based on external variables such as battery voltage, current, and temperature. Such as linear model method, Thevenin model method, fourth-order dynamic model method and empirical formula method. In the empirical formula method, the Shepherd model, the Unnewehr universal model, the Nernst model, etc. are common, and its expression is usually y k =E 0 -Ri k +f(K i , K 2 , K 3 ,z k ) (where y k Indicates the measured value of the termi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 李正烁袁朝勇严学庆赵荣兴
Owner JIANGSU OLITER ENERGY TECH
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