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Multi-battery cell equalization method

A technology of battery cells and equalization methods, applied in battery circuit devices, current collectors, electric vehicles, etc., can solve problems such as single judgment conditions, instability, and changes

Active Publication Date: 2015-09-02
罗斯德尔智能汽车(重庆)有限公司
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  • Claims
  • Application Information

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Problems solved by technology

This patent determines whether to balance the battery by the voltage difference between the batteries in the battery pack. The judgment conditions of this type of scheme are too single. During the balance judgment process, due to the

Method used

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Embodiment Construction

[0017] figure 1 It is an overall design block diagram of a multi-battery cell balancing method, which collects the characteristic parameters (voltage, SOC, etc.) of each battery in the power battery system. The unbalanced battery cell identification module analyzes the information characteristics of multiple batteries to identify the Battery cells, equalization control balances the battery cells that need to be balanced through resistance discharge.

[0018] figure 2 Flowchart for dividing battery packs into normal and abnormal classes: First, collect the characteristic data of all batteries in the battery pack; second, use the z-score standardization method to preprocess the attribute values ​​of the battery cells in the battery pack; third, Calculate the abnormal degree of the battery cell, and the abnormal degree of each cell is the sum of the Euclidean distances between the cell and all other cells in the battery pack; then, according to the abnormal degree of each cell ...

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Abstract

The invention discloses a multi-battery cell equalization method. The method comprises the following steps of adopting characteristic parameters (voltages, SOC, etc.) of battery cells as a basis for judging whether equalization is required for the cells; preprocessing the attribute value of battery cells in a battery pack through a z-score standardization method; and calculating the abnormal degree of the battery cells. The abnormal degree of each single cell is the sum of the Euclidean distances between the single cell and other cells remained in the battery pack. The method further comprises the steps of ordering all cells according to the abnormal degree of each battery cell, calculating the abnormal degree difference value between adjacent cells and making the two cells with the greatest difference value as an initial cluster center; performing dynamic clustering on all battery cells in the battery pack according to the sum of squared error criterion, counting the number of battery cells in each type after all battery cells are classified, and classifying those types with fewest battery cells as abnormal and those types with most battery cells as normal; judging the abnormal type and the normal type again, outputting battery cells requiring equalization and further discharging the battery cells requiring equalization through resistors.

Description

technical field [0001] This patent belongs to the field of battery management systems for new energy vehicles, especially related to the balance control of battery management systems. Background technique [0002] Electric vehicles are an important development direction of the future automobile industry. Lithium batteries have the advantages of large specific energy and specific volume, high working voltage level, no memory effect, low self-discharge rate, and no pollution. Lithium batteries have gradually become the preferred power source for electric vehicles. In order to increase the mileage of electric vehicles, maintain good performance of lithium batteries for electric vehicles, and optimize the electrical performance of lithium batteries, it is necessary to effectively and comprehensively monitor and manage the battery system. The BMS (Battery Management System) used in electric vehicles It mainly has the following functions: battery balancing, battery parameter dete...

Claims

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Application Information

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IPC IPC(8): H02J7/00
Inventor 朴昌浩曹菊张艳苏岭
Owner 罗斯德尔智能汽车(重庆)有限公司
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