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A Modeling Method of Battery Model Based on Correlation and Regression Analysis

A regression analysis and model modeling technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve the problem of not reducing the computational burden of the model, and achieve the effect of simple equation of state, less update parameters, and reduced computational burden

Active Publication Date: 2019-10-22
XIAMEN UNIV
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Problems solved by technology

The above studies have improved the modeling accuracy from different aspects, but have not reduced the computational burden of the model

Method used

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  • A Modeling Method of Battery Model Based on Correlation and Regression Analysis
  • A Modeling Method of Battery Model Based on Correlation and Regression Analysis
  • A Modeling Method of Battery Model Based on Correlation and Regression Analysis

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Embodiment Construction

[0029] The present invention will be further described below through specific embodiments.

[0030] A battery model modeling method based on correlation and regression analysis, using a second-order RC equivalent circuit model as the battery model, performing correlation and regression analysis on the slow dynamic characteristics of the battery, and judging whether to simplify the battery model based on the analysis results.

[0031] figure 1 is the circuit diagram of the 2-stage RC battery equivalent circuit model used in the example, where V ocv Represents the battery balance electromotive force; r o Represents the ohmic internal resistance, which describes the sudden change in voltage when the battery is charged and discharged; r p1 is the first polarization resistance, c p1 is the first polarized capacitance, the two form the first RC link, which represents the electrochemical polarization characteristics of the battery, and describes the rapid dynamic process of the vo...

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Abstract

The invention discloses a storage battery modeling method based on correlation and regression analysis. A two-order RC equivalent circuit model is adopted as a battery model, correlation and regression analysis is performed on the slow dynamic characteristic of a battery, and whether the battery model is simplified or not is judged according to the analysis result. With the adoption of the two-order RC model established with the method, calculation burden caused by a high-order RC link can be reduced while the high accuracy is kept.

Description

technical field [0001] The invention relates to the field of storage battery modeling, in particular to a storage battery model modeling method based on correlation and regression analysis. Background technique [0002] The remaining battery capacity (SOC) is one of the important judgment bases for BMS to make decisions. SOC cannot be measured directly by sensors, which makes algorithms that can accurately estimate battery SOC urgently needed. Furthermore, a large number of SOC estimation methods based on battery models have been proposed, and model accuracy is an important factor affecting the accuracy of such methods. [0003] Among the common battery models, the equivalent circuit models (ECMs) are easy to implement and have high precision, and have attracted widespread attention. Among them, the Thevenin model and its high-order RC link extension model are the most widely used. Numerous modeling methods based on the Thevenin model and its extended models have also been...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367
Inventor 何良宗郭栋郑智鹏张建寰曾涛张景瑞
Owner XIAMEN UNIV
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