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Prediction method of power battery SOC

A technology of power battery and prediction method, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of inability to use real-time use effects, errors, and unsatisfactory

Inactive Publication Date: 2016-02-24
BRILLIANCE AUTO
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AI Technical Summary

Problems solved by technology

[0004] Traditional SOC estimation methods mainly use open circuit voltage method, ampere-hour measurement method, Kalman filter method, artificial neural network method, etc., but these methods all have errors or problems of one kind or another and cannot be used in real time or the effect of use is not ideal

Method used

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  • Prediction method of power battery SOC
  • Prediction method of power battery SOC
  • Prediction method of power battery SOC

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Embodiment Construction

[0024] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0025] The method for predicting the power battery SOC adopted in the embodiment of the present invention includes the following steps:

[0026] Step 101: Obtain the static open-circuit voltage of the battery and the corresponding SOC values ​​of the battery under different open-circuit voltages. The method of obtaining the static open circuit voltage is:

[0027] Let the static battery discharge. After the battery is empty, charge the battery for 1 hour, and then continue to discharge the battery for half an hour. Calculate the charging energy of the battery during this period, calculate the energy discharged by the battery during this period by collecting the discharge current and discharge time of the battery, and calculate th...

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Abstract

The present invention provides a prediction method of a power battery SOC, and relates to the field of the storage battery test. The prediction method comprises the following steps: acquiring a battery static state open-circuit voltage and a SOC value with respect to different open-circuit voltages of the battery; establishing a relation curve of the static state open-circuit voltage and the SOC; determining the initial SOC of the power battery through adoption of the polynomial regression analysis method; and acquiring a battery remaining capacity in the process of driving of a vehicle through the time measurement method. Through adoption of polynomial regression analysis, an SOC is corrected according to an open-circuit voltage to make the estimation of the SOC at a high accuracy in the whole time phasing and have real time after a power battery BMS is started.

Description

technical field [0001] The invention relates to the field of battery testing, in particular to a method for predicting the SOC of a power battery. Background technique [0002] With the rapid development of the world's automobile industry, the global energy and environmental situation has become increasingly severe. In order to enable the sustainable development of the automobile industry, countries around the world are accelerating the strategic transformation of transportation energy. New energy vehicles have become an important direction for the development of future vehicles. Currently, batteries, which are the main power source or auxiliary power source of new energy vehicles, are one of the key technologies restricting the development of new energy vehicles. As the controller of the power battery, the power battery management system has attracted more and more attention. [0003] SOC estimation is the core function of the power battery management system, and its accur...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/388
Inventor 卜凡涛刘木林王旭单冲娄峰
Owner BRILLIANCE AUTO
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