Lithium battery failure judgment method, model generation method, equipment and storage medium
A failure judgment model, lithium battery technology, applied in character and pattern recognition, design optimization/simulation, instruments, etc., can solve problems such as difficulty in predicting battery failure
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Embodiment 1
[0029] According to an embodiment of the present invention, an embodiment of a method for generating a lithium battery failure judgment model is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
[0030] figure 1 is a flowchart of a method for generating a lithium battery failure judgment model according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:
[0031] Step S102, acquiring historical data of a plurality of lithium battery samples, the historical data including a plurality of node parameter data;
[0032] The above multiple node parameter data include, but are not limited to, numerical standardized ...
Embodiment 2
[0051] figure 2 is a flow chart of a lithium battery failure determination method according to an embodiment of the present invention, such as figure 2 As shown, the method includes the following steps:
[0052] Step S202, obtaining sample parameter data of the lithium battery to be tested;
[0053] Step S204, judge the lithium battery to be tested according to the pre-trained failure judgment model and sample parameter data, and obtain the judgment result of the failure of the lithium battery to be tested, and the failure judgment model is generated according to any one of the above lithium battery failure judgment model generation methods .
[0054] It should be noted that the index type F or S, risk level, and parameter column contribution included in the above-mentioned extended judgment result.
[0055] Through the above steps, the historical data of the lithium battery sample can be used to establish a failure judgment model for the failure prediction of the lithium...
Embodiment 3
[0082] According to another aspect of the embodiments of the present invention, a lithium battery failure judgment model generation device is also provided, Figure 6 is a schematic diagram of a lithium battery failure judgment model generation device according to an embodiment of the present invention, such as Figure 6 As shown, the lithium battery failure judgment model generation device includes: a first acquisition module 62 , a second acquisition module 64 , a standardization processing module 66 and a generation module 68 . The device for generating the lithium battery failure judgment model will be described in detail below.
[0083] The first acquisition module 62 is used to acquire the historical data of a plurality of lithium battery samples, and the historical data includes a plurality of node parameter data; the second acquisition module 64 is connected to the above-mentioned first acquisition module 62 and is used for based on the preset correlation coefficient ...
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