Retired battery capacity sorting method, device and equipment and storage medium
A technology of battery capacity and discharge capacity, applied in measuring devices, measuring electrical variables, measuring electricity, etc., can solve the problems of low sorting efficiency and inaccurate sorting of retired batteries, so as to improve the accuracy and improve the sorting efficiency. Effect
Pending Publication Date: 2022-01-14
GEM CO LTD
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[0005] In view of this, it is necessary to provide a capacity sorting method, device, equipment and storage medium for decommissioned batteries to solve the problems of inaccurate sorting and low sorting efficiency of decommissioned batteries in the prior art
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[0049] Preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, wherein the accompanying drawings constitute a part of the application and together with the embodiments of the present invention are used to explain the principle of the present invention and are not intended to limit the scope of the present invention.
[0050] In the description of the present application, "plurality" means two or more, unless otherwise specifically defined.
[0051] Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly...
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The invention relates to a retired battery capacity sorting method, device and equipment and a storage medium. The method comprises the following steps: establishing an initial retired battery capacity sorting neural network model; acquiring characteristic parameter data of the retired battery; training, verifying and testing the initial retired battery capacity sorting neural network model according to the characteristic parameter data of the retired battery to obtain a target retired battery capacity sorting neural network model; and inputting characteristic parameter data of a to-be-predicted battery into a target battery capacity sorting neural network model, predicting the discharge capacity of the to-be-predicted battery, and sorting the to-be-predicted battery according to a discharge capacity prediction result. According to the retired battery capacity sorting method, device and equipment and the storage medium provided by the invention, the characteristic parameters of the retired batteries are selected, the neural network is trained according to the characteristic parameters, and the capacity of the retired batteries is predicted through the neural network, so that screening of the retired batteries is realized.
Description
technical field [0001] The present invention relates to the technical field of battery sorting, in particular to a capacity sorting method, device, equipment and storage medium for decommissioned batteries. Background technique [0002] As the core component of electric vehicles, the power battery must be replaced when its capacity drops to a certain extent to ensure the cruising range and driving safety of the electric vehicle. Power batteries belong to the category of decommissioned batteries. [0003] Although these replaced power batteries become decommissioned batteries, although they cannot meet the driving needs of electric vehicles, they still have about 80% of the remaining energy. To realize the reuse of decommissioned batteries, the decommissioned batteries need to be sorted first. [0004] The sorting of decommissioned batteries in the prior art has the problems of inaccurate sorting and low sorting efficiency. Contents of the invention [0005] In view of t...
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IPC IPC(8): G01R31/382
CPCG01R31/382
Inventor 许开华张宇平刘虹灵别传玉宋华伟张阳琳阳婕李晨威
Owner GEM CO LTD