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Battery state prediction method and system

A battery state and prediction method technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve problems such as large estimation errors

Active Publication Date: 2016-11-09
ZHEJIANG NARADA POWER SOURCE CO LTD
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Problems solved by technology

However, the accuracy of the model depends on the establishment of the equivalent circuit model, and small model errors may lead to large estimation errors

Method used

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  • Battery state prediction method and system

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Embodiment Construction

[0058] The above and other technical features and advantages of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them.

[0059] Please refer to 1. The battery state prediction method provided by Embodiment 1 of the present invention includes the following steps:

[0060] S100. Establish a random data assimilation function model I×t=f(U,I,T) representing the functional relationship between the dischargeable time t of the battery and the voltage U, current I, and temperature T;

[0061] S200. Using the random data assimilation function model I×t=f(U,I,T), according to the real-time measured voltage U of the battery to be tested k , current I k and temperature T k , calculate the complete discharge curve I of the battery to be tested under the current working condition k ×t=f(U,I k , T k ) and discharge...

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Abstract

The invention provides a battery state prediction method and system. The method comprises steps of: establishing a random data assimilation function model I*t = f(U, I, T) representing a function relationship between the dischargeable time t of a battery and voltage U, current I, and temperature T; computing the complete discharge curve Ik*t = f(U, Ik, Tk) and the dischargeable time tk:tk= f(Uk, Ik, Tk) / Ik of the battery to be tested on a current operating condition by using the random data assimilation function model I*t = f(U, I, T) and according to the voltage Uk, the current Ik, and the temperature Tk, measured in real time, of the battery to be tested; and predicting the SoC value and the SoH value of the battery to be tested according to the complete discharge curve and the dischargeable time of the battery to be tested on the current operating condition. The battery state prediction method and system may perform assimilation treatment on battery parameters on different operating conditions, adapt to operating conditions with continuously changed discharge current and ambient temperature, may accurately predict the state of health and the state of charge of the battery, and is good in instantaneity, high in accuracy, and easy to implement.

Description

technical field [0001] The present invention relates to the technical field of battery state prediction, in particular to a battery state prediction method and system. Background technique [0002] As the last line of defense for reliable power supply, valve-regulated lead-acid batteries play an important role in backup power systems. The application of lead-carbon batteries and lithium-ion batteries in the field of distributed micro-grid energy storage and electric vehicles is also becoming more and more extensive. In the above application fields, due to the large-scale use of batteries in groups, a management system is required to detect and maintain the state of the batteries. [0003] Among the many parts of the battery management system, the prediction of the battery state of health (SoH, state of health) and the state of charge (SoC state of charge) during discharge is very critical, and the accuracy of the prediction will affect the control of the battery management ...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/392
Inventor 相佳媛陈建陈丽颖陈成
Owner ZHEJIANG NARADA POWER SOURCE CO LTD
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