SOC estimation method for power lithium ion battery group

A lithium-ion battery pack, lithium-ion battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., to achieve the effects of simple calculation, strong environmental applicability, and improved linearization processing mechanism

Inactive Publication Date: 2017-02-22
SOUTHWEAT UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the existing methods, provide a method for estimating the SOC of a power lithium-ion battery pack, and solve the problem of accurate estimation of the SOC of a lithium-ion battery power group application

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  • SOC estimation method for power lithium ion battery group
  • SOC estimation method for power lithium ion battery group
  • SOC estimation method for power lithium ion battery group

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Embodiment Construction

[0013] The method for estimating the SOC of a power lithium-ion battery pack combined with the S-ECM model and the RP-UKF algorithm of the present invention will be further described in detail below in conjunction with the accompanying drawings. The invention aims at the problem of SOC estimation when lithium-ion batteries are used in groups, uses S-ECM to simulate the battery working process and constructs state space equations, realizes SOC estimation of power lithium-ion batteries through RP-UKF, and uses equilibrium state SOB feedback to correct the estimation process , to construct the SOC estimation model system scheme. In order to better embody the present invention, in this embodiment, only the aviation lithium-ion battery pack is used as an example for illustration, but those skilled in the art should be familiar with that the SOC of various power lithium-ion battery packs can be realized according to the technical idea of ​​the present invention. estimate. The imple...

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Abstract

The invention relates to an SOC estimation method for a power lithium ion battery group, which belongs to the field of new energy measurement and control. The method comprises the steps that for the power work characteristic of a lithium ion battery, a Special Equivalent Circuit Model (S-ECM) is constructed to accurately characterize the battery work process; parallel resistors are added on both ends of an ideal voltage source to realize the accurate description of a self-discharge effect; a resistor parallel circuit which is connected in series with a backward diode is introduced to solve the problem of charge and discharge resistance difference; and a parallel capacitor is added to improve the description of a surface effect. According to the method, a Reduced Particle-Unscented Kalman Filter (RP-UK) algorithm is provided and an S-ECM state space equation is integrated to improve the computation efficiency; reduced particle filter transform is integrated into the front-end; the problem of estimation offset is solved by optimizing a nonlinear processing process; the estimation accuracy is further improved; and based on end-voltage feedback correction, the influence of the State of Balance (SOB) is introduced into the rear end to realize the online estimation of the whole SOC value.

Description

technical field [0001] The invention relates to a method for estimating the SOC of a power lithium-ion battery pack. The method is improved on the basis of the existing battery equivalent model and a S-ECM (Special-Equivalent Circuit Model) model is proposed, and the self-discharge is represented by increasing the parallel internal resistance Effect, through the parallel resistance of the reverse diode in series to characterize the difference in charge and discharge internal resistance, through the parallel capacitance to characterize the surface effect, to achieve an accurate description of the working process of the power lithium-ion battery. This method proposes the RP-UKF (Reduced Particle-Unscented Kalman Filter) estimation model by improving the Kalman estimation process, incorporates the improved battery equivalent model state space equation to improve calculation efficiency, and optimizes the linearization process by streamlining the particle filter to eliminate estimat...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/3648G01R31/392
Inventor 尚丽平王顺利李占锋邓琥李小霞屈薇薇熊亮
Owner SOUTHWEAT UNIV OF SCI & TECH
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