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CN-121983690-A - Battery defect intervention regulation and control method and device

CN121983690ACN 121983690 ACN121983690 ACN 121983690ACN-121983690-A

Abstract

The application discloses a battery defect intervention regulation and control method and device, the method comprises the steps of obtaining operation data and test data corresponding to a battery, determining a defect estimation result of the battery at least based on the operation data and the test data, determining ultrasonic intervention parameters for an ultrasonic transducer based on the defect estimation result, controlling the ultrasonic transducer to carry out ultrasonic cavitation treatment on the battery based on the ultrasonic intervention parameters, so that the defect estimation result of the battery can be estimated and obtained by utilizing the operation data and the test data corresponding to the battery, and accordingly, the ultrasonic intervention parameters for the ultrasonic transducer can be obtained to carry out ultrasonic cavitation treatment control adapted to the defect estimation result on the ultrasonic transducer, so that related defect structures of the battery are directionally broken and weakened under the action of cavitation bubbles generated by the battery, and the defect structures of the battery can be accurately and directly regulated and intervened after the battery is put into use, thereby being convenient for delaying battery capacity attenuation and prolonging cycle life.

Inventors

  • DONG HAOBO
  • Xiong Pifu
  • LI KAI
  • LI DA

Assignees

  • 华南理工大学

Dates

Publication Date
20260505
Application Date
20260119

Claims (10)

  1. 1. A battery defect intervention regulation method, comprising: acquiring operation data and test data corresponding to the battery; Determining a defect estimation result of the battery based at least on the operation data and the test data; determining ultrasonic intervention parameters for an ultrasonic transducer based on the defect estimation result; And controlling the ultrasonic transducer to carry out ultrasonic cavitation treatment on the battery based on the ultrasonic intervention parameters.
  2. 2. The method of claim 1, wherein the determining a defect estimation of the battery based at least on the operational data and the test data comprises: Based on the electrochemical impedance spectrum EIS test data contained in the test data, fitting through an equivalent circuit model to obtain EIS fitting parameters; Constructing defect severity index information based on the EIS fitting parameters and the operation data; Inputting the defect severity index information into a large model to obtain a defect degree estimation result output by the large model; And determining the defect estimation result at least based on the defect degree estimation result.
  3. 3. The method of claim 2, wherein the step of determining the position of the substrate comprises, The defect severity index information is used for indicating the large model to generate the defect degree estimation result according to a comparison result between the battery history reference data and the defect severity index information, wherein the battery history reference data comprises the defect severity history reference index information.
  4. 4. The method according to claim 2, wherein the method further comprises: acquiring ultrasonic scanning data corresponding to the battery; generating a defect distribution map based on the ultrasonic scan data; wherein the determining the defect estimation result based at least on the defect level estimation result includes: And determining the defect estimation result based on the defect degree estimation result and the defect distribution diagram.
  5. 5. The method of any one of claims 1-4, wherein after said controlling said ultrasonic transducer to subject said battery to ultrasonic cavitation, said method further comprises: acquiring temperature monitoring data of the battery within a preset time period after the ultrasonic cavitation treatment is completed; adjusting the ultrasonic intervention parameters based on the temperature monitoring data; and controlling the ultrasonic transducer to carry out next round of ultrasonic cavitation treatment on the battery based on the adjusted ultrasonic intervention parameters.
  6. 6. The method according to any one of claims 1-4, further comprising: acquiring pre-intervention performance index data of the battery before the ultrasonic cavitation treatment is completed and post-intervention performance index data of the battery after the ultrasonic cavitation treatment is completed; And determining a processing effect evaluation result of the ultrasonic cavitation processing based on a comparison result between the performance index data before intervention and the performance index data after intervention.
  7. 7. A battery defect intervention regulation device, comprising: An ultrasonic transducer; The battery state monitoring module is configured to acquire operation data and test data corresponding to the battery; a control module configured to perform the method of any of claims 1-6.
  8. 8. The apparatus of claim 7, wherein the ultrasonic transducer comprises: the ultrasonic transducer array is arranged on the surface of the battery and/or the coating structure of the battery.
  9. 9. The apparatus according to any one of claims 7-8, further comprising: And the coupling medium layer is arranged between the ultrasonic transducer and the battery.
  10. 10. The apparatus according to any one of claims 7-8, further comprising: a clamping mechanism for clamping the battery, and/or, And the driving circuit is electrically connected with the ultrasonic transducer, and the control module is configured to control the ultrasonic transducer through the driving circuit.

Description

Battery defect intervention regulation and control method and device Technical Field The application relates to the technical field of batteries, in particular to a battery defect intervention regulation method and device. Background With the wide application of secondary batteries such as lithium ion batteries and sodium ion batteries, the batteries gradually face a series of performance degradation problems such as capacity decay, internal resistance rise, safety risk increase and the like in the long-term charge-discharge cycle process. Research shows that the core causes of the degradation phenomena are often closely related to the defect structure evolution at the electrode/electrolyte interface, and particularly lithium dendrites and/or crystal deposition are easily formed on the surface of the negative electrode due to factors such as uneven current density distribution, repeated cracking regeneration of SEI (Solid Electrolyte Interface, solid electrolyte) films, side reaction accumulation and the like. The dendrite grows and evolves with increasing cycle times, and the sharp structure may cause the separator to be pierced, thereby causing internal short circuit and thermal runaway, and in addition, the crystalline deposition consumes active lithium, hinders ion transport, and rapidly attenuates capacity. It can be seen that the generation and evolution of the defective structure of the battery is a key factor affecting the life and safety of the battery. In the related art, there are mainly the following two technical paths when dealing with a defective structure of a battery. Firstly, starting from the aspects of material system optimization, structural design improvement, charge-discharge strategy control and the like, the method is used for delaying the generation and development of dendrite by improving an electrolyte formula, adopting a functional diaphragm, carrying out electrode surface coating treatment, introducing a multi-stage charge strategy and the like. However, these techniques are mostly focused on "suppressing the formation", "delaying the evolution", while there is a lack of effective in situ repair or intervention means for the already formed dendrite and crystalline structure. Secondly, mechanical vibration is introduced to improve the mass transfer environment, but the purpose of the method is mainly to promote the wettability of electrolyte or promote the dispersion of electrode materials, and the effect of the method is concentrated in the production and preparation links of the battery. As can be seen, it is generally difficult to achieve direct regulatory intervention on the defective structure of the battery after the battery is put into service. Disclosure of Invention In order to solve the technical problems, the embodiment of the application provides a battery defect intervention regulation and control method and device, which can accurately and directly regulate and control a battery defect structure after a battery is put into use so as to delay the capacity attenuation of the battery and improve the cycle life. In a first aspect, an embodiment of the present application provides a method for controlling and controlling battery defect intervention, including: acquiring operation data and test data corresponding to the battery; Determining a defect estimation result of the battery based at least on the operation data and the test data; determining ultrasonic intervention parameters for an ultrasonic transducer based on the defect estimation result; And controlling the ultrasonic transducer to carry out ultrasonic cavitation treatment on the battery based on the ultrasonic intervention parameters. Optionally, the determining a defect estimation result of the battery based at least on the operation data and the test data includes: Based on the electrochemical impedance spectrum EIS test data contained in the test data, fitting through an equivalent circuit model to obtain EIS fitting parameters; Constructing defect severity index information based on the EIS fitting parameters and the operation data; Inputting the defect severity index information into a large model to obtain a defect degree estimation result output by the large model; And determining the defect estimation result at least based on the defect degree estimation result. Optionally, the defect severity index information is used for indicating that the large model generates the defect degree estimation result according to a comparison result between battery historical reference data and the defect severity index information, wherein the battery historical reference data comprises defect severity historical reference index information. Optionally, the method further comprises: acquiring ultrasonic scanning data corresponding to the battery; generating a defect distribution map based on the ultrasonic scan data; wherein the determining the defect estimation result based at least on the defect level estimation re