Lithium battery capacity rapid estimation method

A lithium battery and battery technology, applied in the direction of measuring electrical variables, measuring electricity, measuring devices, etc., can solve the problems of long battery capacity and inability to quickly estimate battery capacity, so as to reduce power and equipment loss and improve economy , The effect of fast battery capacity

Active Publication Date: 2013-05-08
BEIJING BEIJIAO NEW ENERGY TECH CO LTD
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Problems solved by technology

[0010] The object of the present invention is to propose a method for quickly estimating the capacity of a lithium battery in view of the fact that the ...

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Embodiment Construction

[0030] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0031] The invention provides a method for quickly estimating battery capacity. The battery can be lithium manganese oxide power battery and lithium iron phosphate battery used in electric vehicles. Take the eliminated lithium manganese oxide power battery used in the bus of the 2008 Olympic Games as an example to explain.

[0032] The battery state-of-charge-open-circuit voltage (SOC-OCV) curves of three different decay situations are randomly selected as follows: figure 1 As shown, by testing the SOC-OCV curves of a large number of batteries under different decay conditions, the results show that: the battery SOC-OCV curve is only discrete at both ends (close to full charge or close to empty charge), and when the battery SOC is in the range of 10%-90%, The SOC-OCV curve is not discrete. The terminal voltage of the battery after standing for one hour is a...

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Abstract

The invention relates to the technical field of lithium battery parameter determination methods, in particular to a lithium battery capacity rapid estimation method. The lithium battery capacity rapid estimation method comprises the following steps: (1) taking the-number-set training sample batteries to have an internal resistance test by using a composite pulse current method in order to obtain internal resistance values of the training sample batteries, (2) testing capacity values of the training sample batteries by using a constant current constant voltage test method, (3) taking time-set various current internal resistance of different sampling time of the training sample batteries as input and taking the capacity values as output to establish an internal resistance-capacity neural network model, (4) and testing internal resistance of predicting sample batteries and evaluating the capacity values by using the internal resistance-capacity neural network model established by the training sample batteries. By using the non-linear relationship between the internal resistance and the capacity to establish the internal resistance-capacity neural network model, the lithium battery capacity rapid estimation method can rapidly estimate the capacity of the batteries, eliminate the batteries which have no use value, reduce power loss and equipment loss required in a traditional capacity test, and greatly improve economy.

Description

technical field [0001] The invention relates to the technical field of lithium battery parameter determination methods, in particular to a lithium battery capacity rapid estimation method. Background technique [0002] The large-scale application of electric vehicles was realized at the 2008 Beijing Olympic Games, and 50 pure electric buses were invested to achieve zero emission in the core area of ​​the Olympic Park. According to the national electric vehicle battery use standard, the effective capacity of the power battery for electric vehicles shall not be less than 80% of the rated capacity. According to the current technical level of lithium-ion batteries, when the effective capacity of the battery is lower than 80%, it can be charged and discharged for about 1000 cycles for energy storage. In order to reduce the vehicle cost of electric vehicles, some of the batteries that are still valuable in the eliminated batteries of electric vehicles can be used in energy storag...

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Application Information

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IPC IPC(8): G01R31/36
Inventor 姜久春张维戈张彩萍王玉坤孙丙香王占国牛利勇李景新
Owner BEIJING BEIJIAO NEW ENERGY TECH CO LTD
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