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Method based on segmented expansion Kalman filtering for estimating state of charge of lithium battery

An extended Kalman and state-of-charge technology, which is applied in the direction of measuring electricity, measuring electrical variables, and measuring devices, can solve the problems of enhancing the filtering accuracy of system interference noise and achieve the effects of improving estimation accuracy, reducing complexity, and reducing costs

Inactive Publication Date: 2018-02-27
WENZHOU UNIVERSITY
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Problems solved by technology

This method reduces the impact of inaccurate battery models on SOC estimation accuracy, enhances the filtering ability of system interference noise, overcomes the reduction in filtering accuracy and possible filtering divergence caused by Taylor series expansion linearization, and effectively improves SOC. estimated robustness

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  • Method based on segmented expansion Kalman filtering for estimating state of charge of lithium battery
  • Method based on segmented expansion Kalman filtering for estimating state of charge of lithium battery
  • Method based on segmented expansion Kalman filtering for estimating state of charge of lithium battery

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[0082] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0083] The terms of direction and position mentioned in the present invention, such as "up", "down", "front", "back", "left", "right", "inside", "outside", "top", "bottom" ", "side", etc., are only referring to the direction or position of the drawings. Therefore, the terms used in direction and position are used to explain and understand the present invention, but not to limit the protection scope of the present invention.

[0084] like Figure 1 to Figure 7 As shown, in the embodiment of the present invention, on the basis of the second-order RC equivalent circuit model, the present invention divides the SOC estimation of the lithium battery into 0-20 % and 80%-100% of this highly nonlinear stage, using the finite difference extended Kalman filter algorithm, i...

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Abstract

The invention discloses a method based on segmented expansion Kalman filtering for estimating the state of charge of a lithium battery. The method mainly comprises the steps of firstly, establishing asecond-order RC equivalent circuit model according to a working mechanism of the lithium battery; secondly, according to experimental data of pulse discharge responses of the lithium battery, utilizing a recursive least square method (RLS) to identify model parameters; thirdly, establishing a state space model of lithium battery discretization, adopting a segmented EKF algorithm to estimate the SOC of the lithium battery. According to the method, the suitable expansion Kalman filtering algorithm is utilized while an intensity nonlinearization process is distinguished from the working processof the lithium battery, and the robustness in the process of adopting a traditional EKF algorithm to estimate SOC is effectively improved; the problem is solved that decrease of filtering precision and possible filtering divergence are caused by Taylor series expansion linearization.

Description

technical field [0001] The invention relates to the field of estimating the state of charge of a lithium battery, in particular to a method for estimating the state of charge of a lithium battery based on a segmented extended Kalman filter. Background technique [0002] At present, due to the pressure of non-renewable energy consumption and environmental pollution, lithium batteries have become the most potential energy storage devices due to their high energy density, long service life, high working voltage, and environmental protection. In order to ensure the driving safety and operational reliability of lithium battery electric vehicles during the entire use process, it is necessary to know the operating status of the battery in a timely and accurate manner, and manage and control the battery reasonably and effectively. [0003] The accurate estimation of the battery state of charge (State of Charge, hereinafter referred to as SOC) is the core technology in the battery en...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/367
Inventor 玄东吉侍壮飞赵小波钱潇
Owner WENZHOU UNIVERSITY
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