Single lithium ion battery SOC estimation method based on sliding window filtering

A lithium-ion battery, sliding window technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc.

Inactive Publication Date: 2014-07-02
扬州道爵新能源发展有限公司
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Problems solved by technology

The neural network method and the fuzzy algorithm have nonlinear basic characteristics. Sing et al. use the fuzzy logic model to estimate the SOC and available capacity of the Ni-MH battery, but this method requires the impedance spectrum of the known electrochemical internal resistance

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  • Single lithium ion battery SOC estimation method based on sliding window filtering
  • Single lithium ion battery SOC estimation method based on sliding window filtering
  • Single lithium ion battery SOC estimation method based on sliding window filtering

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Embodiment Construction

[0056] The present invention will be further described below in conjunction with the accompanying drawings and embodiments. While the invention will be described in conjunction with the preferred embodiments, it will be understood that it is not intended to limit the invention to the described embodiments. On the contrary, the invention is to cover alternatives, modifications and equivalents, which may be included within the scope of the invention as defined by the appended claims.

[0057] 5.1 Definition and analysis of lithium-ion battery combination model

[0058] Step 1, establish the electrochemical-circuit equivalent combination model of lithium-ion battery, the model composition is as follows figure 1 shown.

[0059] In the figure, the current controlled voltage source V OC (SOC) represents the nonlinear relationship between the open circuit voltage and SOC, the series resistance R 0 It reflects the variation of the battery terminal voltage, and the terminal voltage...

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Abstract

The invention discloses a single lithium ion battery SOC estimation method based on sliding window filtering. In a novel algorithm, a battery model is composed of two RC parallel circuits, one series resistor and one nonlinear voltage source, the dynamic working state in a battery is simulated through battery terminal voltage, the RC parallel circuits and a battery SOC. The single lithium ion battery SOC estimation method is based on an electrochemistry-circuit equivalent lithium ion battery combination model, the model well describes the nonlinear function relation between battery OCV and the battery SOC, and the SMO algorithm is used for solving the nonlinear problem of the model. Meanwhile, in the single lithium ion battery SOC estimation method, the SMOS algorithm and the Kalman filtering algorithm are innovatively combined to solve the problem of uncertainty of a lithium ion battery model, and the accuracy of the battery model and the reliability of a battery control system are guaranteed. At last, the battery model parameter on-line identification method provides necessary parameter values for on-line accurate estimation of the battery SOC.

Description

technical field [0001] The invention relates to a method for estimating the SOC of a single lithium ion battery, more specifically, it relates to a method for estimating the SOC of a single lithium ion battery based on sliding window filtering. Background technique [0002] At present, domestic and foreign are committed to researching lithium-ion batteries as an auxiliary power source, striving to achieve greater breakthroughs in large-scale application environments such as aerospace, military industry, and renewable energy system energy storage. In order to keep the battery working in the best condition and prolong the service life of the battery, it is necessary to calculate the remaining capacity or the state of charge (State of Charge, SOC) of the lithium-ion battery more accurately. In recent years, many researchers have devoted themselves to improving the accuracy of battery SOC estimation. The ampere hour (AH) method is the most commonly used SOC estimation method. T...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 汪秋婷陆赟豪董辉万鹏飞戚伟
Owner 扬州道爵新能源发展有限公司
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