GM (1, N) grey forecasting model-based balancing control method

A gray prediction model and balanced control technology, applied in the direction of adaptive control, general control system, control/regulation system, etc. It can meet the needs of large-capacity power battery balance of electric vehicles and other issues

Active Publication Date: 2014-08-06
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] 1) The open circuit voltage of lithium-ion batteries is relatively flat when the SOC is between 30% and 70%. Even if the SOC differs greatly, the corresponding voltage difference is very small. The current is very small, which may even cause the power electronic devices to fail to conduct normally;
[0009] 2) Due to the conduction voltage drop of power electronic devices, it is difficult to achieve zero voltage difference balance between battery cells
But, the main problem that this invention exists is: because belong to Cell to Cell type balance circuit, even if using Boost step-up conversion, the balance current that improves is limited, can't meet the balance demand of electric vehicle large-capacity power battery far away; Boost con

Method used

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  • GM (1, N) grey forecasting model-based balancing control method
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  • GM (1, N) grey forecasting model-based balancing control method

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Embodiment Construction

[0091] The present invention is described in detail below in conjunction with accompanying drawing:

[0092] like image 3 Shown, a kind of balance control method based on GM (1, N) gray prediction model, comprises the following steps:

[0093] S1. Obtaining the cell voltage: the microcontroller uses the analog-to-digital conversion module to obtain the voltage of each cell in the static state of the battery, so as to determine the lowest cell voltage and the corresponding battery cell number and calculate the current average voltage u of the battery pack a And the voltage difference Δu between the average voltage and the lowest cell voltage i,k-1 , where i is the label of the battery cell with the lowest current voltage, which is a positive integer, and k-1 is the number of equalization times for the i-th battery cell, which is a positive integer;

[0094] S2. Judgment voltage: The microcontroller judges whether it is greater than the battery equalization threshold accordin...

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Abstract

The invention discloses a GM (1, N) grey forecasting model-based balancing control method. A microcontroller acquires battery monomer voltage in a standing state by utilizing an analog-digital conversion module; the microcontroller judges whether the voltage difference between the average voltage of the acquired monomer voltage and the lowest monomer voltage is greater than the balancing threshold value of the battery, if yes, starting a balancing circuit, otherwise, stopping the balancing circuit; then judging whether the balancing times k of a battery monomer i is greater than the balancing data of the newest set time of the battery monomer I, wherein the balancing data of the newest set time concretely comprises the battery monomer voltage U<i,k-5>- U<i,k-1>, and balancing time te<i,k-5>- te<i,k-1>, wherein k is more than 5; processing the data obtained in the step IV to obtain kst balancing time, starting balancing for balancing time, and standing for ts<i,k> after the balancing is over, thus the balancing control of the time is over, and turning to step 1 for the balancing control next time. According to the GM (1, N) grey forecasting model-based balancing control method, the inconsistency among battery monomers can be effectively improved, and the balancing efficiency can be increased.

Description

technical field [0001] The invention relates to an equilibrium control method based on a GM (1, N) gray prediction model. Background technique [0002] Energy crisis and environmental pollution are two major problems facing the world today. Electric vehicles are widely welcomed by people for their energy saving and environmental protection, and have become the inevitable trend of future automobile development. Lithium-ion batteries are widely used as power sources in electric vehicles and hybrid electric vehicles because of their high energy density, low discharge rate and no memory effect. However, due to the technical constraints of battery manufacturing technology and power management system, a large number of monomers and multi-stage series-parallel connections are required to provide sufficient power supply voltage and driving power during the use of power batteries. However, when this type of battery is used in series, it is easy to cause overcharge and overdischarge...

Claims

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Application Information

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IPC IPC(8): G05B13/04G06F19/00H02J7/00
Inventor 张承慧商云龙崔纳新
Owner SHANDONG UNIV
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