Battery SOC estimation method and system

A battery and algorithm technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problem of low accuracy of battery power estimation algorithms, and achieve high satisfaction, improved accuracy, and good user experience.

Inactive Publication Date: 2021-03-23
GREE ELECTRIC APPLIANCES INC
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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a battery SOC estimation method and system to solve the problem of low accuracy of the battery power estimation algorithm in the prior art

Method used

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  • Battery SOC estimation method and system
  • Battery SOC estimation method and system
  • Battery SOC estimation method and system

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Embodiment Construction

[0065] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of apparatuses and methods consistent with aspects of the invention as recited in the appended claims.

[0066] figure 1 It is a flowchart of a method for estimating battery SOC according to an exemplary embodiment, as shown in figure 1 As shown, the method includes:

[0067] Step S11, determining the battery model of the battery, and, the control model;

[0068] Step S12, substituting the calculation result of the battery model into the control model to obtain the control parameters of the Kalm...

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Abstract

The invention relates to a battery SOC estimation method and system. The method comprises the steps of determining a battery model and a control model of a battery, substituting the calculation resultof the battery model into a control model to obtain control parameters of Kalman filtering, estimating the SOC of the battery by adopting a Kalman filtering algorithm according to the control parameters, wherein the control parameters of the Kalman filtering comprise a noise covariance, and the noise covariance is estimated according to a fuzzy control algorithm. According to the technical schemeprovided by the invention, the noise covariance of the battery model is estimated through the fuzzy control algorithm, and then the control parameters of Kalman filtering are updated, so that the accuracy of estimating the SOC of the battery through the Kalman filtering algorithm is improved, the robustness and the error-tolerant rate of the algorithm are improved, the user experience is good, and the satisfaction degree is high.

Description

technical field [0001] The present invention relates to the technical field of battery power estimation, in particular to a battery SOC estimation method and system. Background technique [0002] The core functions of the battery management system generally include: battery state estimation algorithms, fault diagnosis and protection. State estimation includes SOC (State Of Charge), SOP (State Of Power), SOH (State of Health), and balance and thermal management. [0003] SOC (State Of Charge), simply put, is how much power is left in the battery. SOC is the most important parameter in BMS, because everything else is based on SOC, so its accuracy and robustness are extremely important. If there is no accurate SOC, adding more protection functions will not make the BMS work normally, because the battery will often be in a protected state, and the life of the battery cannot be extended. The estimation accuracy of SOC is also very important. The higher the accuracy, the highe...

Claims

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Application Information

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IPC IPC(8): G01R31/3842G01R31/388G01R31/367
CPCG01R31/367G01R31/3842G01R31/388
Inventor 张俊雄宋爱
Owner GREE ELECTRIC APPLIANCES INC
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