A rapid detection device for recycled single batteries based on electromagnetic waves

Abstract

The present invention discloses a rapid detection device for recycling single-cell batteries based on electromagnetic waves, which specifically relates to the field of battery detection technology, including a constant current source, a detection circuit, an analog-to-digital converter, a micro control unit, and a display screen. The present invention realizes rapid, accurate, and efficient detection of single-cell batteries. The device uses electromagnetic waves to penetrate the battery, converts the received waves into voltage signals, and then converts the signals into digital signals through an analog-to-digital converter for analysis and display. The present invention also predicts battery performance by building a mathematical model, combining spectrum analysis data and monitoring data, improving prediction accuracy, and simplifying the operation process.

Description

Technical Field

[0001] The present invention relates to the technical field of battery detection, and more specifically, to a rapid detection device for recycling single batteries based on electromagnetic waves. Background Art

[0002] With the development of science and technology and the improvement of environmental awareness, the recycling and treatment of waste batteries have attracted increasing attention. As the basic component of batteries, the recycling and reuse of single cells is of great significance to resource conservation and environmental protection. However, in the recycling process of waste single cells, the detection of battery status has become an important link.

[0003] At present, the detection of battery status is mainly completed through the formation and capacity division cabinet, which is a kind of equipment widely used in the battery production process. It is mainly used for battery formation and capacity division. Formation refers to the process of making the chemical substances inside the battery react through the cycle of charging and discharging to achieve the predetermined performance state; while capacity division is to screen and classify the batteries by measuring the capacity and other parameters of the batteries to meet the needs of different products.

[0004] However, there are still some shortcomings in its actual use. For example, in terms of detection efficiency, traditional chemical capacity cabinets usually use physical contact detection when detecting battery performance, and judge the performance by measuring battery voltage, current and other parameters. This detection method not only requires manual operation, but also has a slow detection speed and cannot meet the needs of large-scale battery production. In terms of detection accuracy, traditional chemical capacity cabinets use physical contact detection, and their accuracy is often affected by many factors, such as the stability of the contact point, the accuracy of the measuring equipment, etc. These factors may cause errors in the test results and affect the accurate evaluation of battery performance. Traditional chemical capacity cabinets may have certain safety hazards during the detection process. Since physical contact with the battery is required, improper operation may lead to risks such as battery short circuit and fire. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a rapid detection device for recycling single-cell batteries based on electromagnetic waves, and solves the problems raised in the above-mentioned background technology through the following scheme.

[0006] To achieve the above object, the present invention provides the following technical solution: a rapid detection device for recycling single battery based on electromagnetic wave, comprising:

[0007] Constant current source: used to provide stable voltage;

[0008] Detection circuit: used to penetrate the battery with electromagnetic waves, convert the received waves into voltage signals and transmit them to the analog-to-digital converter;

[0009] Analog-to-digital converter: used to amplify the voltage signal, convert it into a digital signal and transmit it to the micro control unit;

[0010] Micro control unit: used to analyze digital signals and transmit the analysis results to the display screen;

[0011] Display screen: used to display battery test results.

[0012] Preferably, the constant current source includes a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a detection resistor Rsense, an operational amplifier U1A, and an NPN transistor Q1.

[0013] Preferably, one end of the resistor R1 is connected to one end of the resistor R2 and one end of the detection resistor Rsense, one end of the resistor R2 is connected to the negative input end of the operational amplifier U1A and one end of the resistor R4, the other end of the resistor R4 is connected to the ground GND, the other end of the detection resistor Rsense is connected to one end of the resistor R3 and the ground GND, the other end of the resistor R3 is connected to the positive input end of the operational amplifier U1A, the output end of the operational amplifier U1A is connected to the collector of the NPN transistor Q1, the collector of the NPN transistor Q1 is connected to one end of the resistor R5, and one end of the resistor R5 is connected to the other end of the resistor R3 and the positive input end of the operational amplifier U1A.

[0014] Preferably, the detection circuit includes an oscillator Y1, a capacitor C1, a capacitor C2, a resistor R6, an electromagnetic wave detector P1, a TX coil, and a RX coil.

[0015] Preferably, the first port of the oscillator Y1 is connected to one end of the resistor R6, the second port of the oscillator Y1 is connected to one end of the capacitor C1, the other end of the capacitor C1 is connected to one end of the TX coil, the other end of the TX coil is connected to the other end of the resistor R6, one end of the RX coil is connected to one end of the capacitor C2, the other end of the capacitor C2 is connected to the third port of the electromagnetic wave detector P1, the other end of the RX coil is connected to the fifth port of the electromagnetic wave detector P1, the first port of the electromagnetic wave detector P1 is connected to the power supply VCC, and the sixth port of the electromagnetic wave detector P1 is connected to the ground GND.

[0016] Preferably, a rapid detection system for recycling single battery cells based on electromagnetic waves comprises:

[0017] Data collection area division module: used to determine the data collected by the detection equipment as the target data area, divide the target data area into various sub-data areas according to the number of detections, and mark them as 1, 2...n in sequence;

[0018] Detection data acquisition module: used to collect electromagnetic wave characteristic data, battery characteristic data and spectrum analysis data of each sub-data area, and transmit the collected data to the detection data analysis module;

[0019] Detection data analysis module: including electromagnetic wave characteristic data analysis unit, battery characteristic data analysis unit and spectrum analysis data analysis unit, used for analyzing the data transmitted by the detection data acquisition module and transmitting the analyzed data to the inversion calculation module;

[0020] Inversion calculation module: used to establish an inversion calculation model, import the data transmitted by the monitoring data analysis module into the inversion calculation model, calculate the predicted value of the electromagnetic penetrating battery capacity of each sub-data area, and transmit it to the human-computer interaction module;

[0021] Human-computer interaction module: used to display the predicted value of electromagnetic penetrating battery capacity through the display screen.

[0022] Preferably, the electromagnetic wave characteristic data include penetration depth, waveform kurtosis, spectral power density and penetration angle, which are marked as Ed, Ew, Es, and Ep respectively, the battery characteristic data include self-discharge rate, standard capacity, battery state entropy, and electrochemical impedance, which are marked as Pe, Pc, Ps, and Pm respectively, and the spectrum analysis data include peak frequency shift, phase delay, quality factor, and group delay dispersion, which are marked as Sf, Sp, Sm, and Sd respectively.

[0023] Preferably, the electromagnetic wave characteristic data analysis unit is used to establish an electromagnetic wave characteristic data analysis model, import the electromagnetic wave characteristic data transmitted by the detection data acquisition module into the electromagnetic wave characteristic data analysis model, and calculate the electromagnetic wave characteristic value of each sub-data area. The specific mathematical model is: , R.E. i represents the electromagnetic wave characteristic value of the i-th sub-data area, Ed i represents the penetration depth of the ith sub-data region, Ew i Indicates the waveform kurtosis of the i-th sub-data region, Es i represents the spectral power density of the ith sub-data region, Ep i represents the penetration angle of the ith sub-data area, Ed max Indicates the maximum penetration depth of the target data area, Ed min Indicates the minimum penetration depth of the target data area, Ew nor The kurtosis of the waveform when it represents the normal distribution, µ 1 Represents other influencing factors of the electromagnetic wave characteristic value.

[0024] Preferably, the battery characteristic data analysis unit is used to establish a battery characteristic data analysis model, import the battery characteristic data transmitted by the detection data acquisition module into the battery characteristic data analysis model, and calculate the battery characteristic value of each sub-data area. The specific mathematical model is: , RP i represents the battery characteristic value of the ith sub-data area, Pe i represents the self-discharge rate of the ith sub-data region, Pc i Indicates the standard capacity of the ith sub-data area, Ps i represents the battery state entropy of the ith sub-data region, Pm i represents the electrochemical impedance of the ith sub-data region, Ps sta represents the standard state entropy, k represents the shaping parameter, Pm max Indicates the maximum electrochemical impedance of the target data area, µ 2 Indicates other influencing factors of battery characteristic values.

[0025] Preferably, the spectrum analysis data analysis unit is used to establish a spectrum analysis data analysis model, import the spectrum analysis data transmitted by the detection data acquisition module into the spectrum analysis data analysis model, and calculate the spectrum characteristic value of each sub-data area. The specific mathematical model is: , R.S. i represents the frequency spectrum characteristic value of the i-th sub-data area, Sf i represents the peak frequency shift of the ith sub-data region, Sp i represents the phase delay of the ith sub-data region, Sm i represents the quality factor of the ith sub-data region, Sd i represents the group delay dispersion of the ith sub-data region, St i Indicates the spectrum analysis time of the ith sub-data region, Sm max Indicates the maximum quality factor of the target data area, Sm min Represents the minimum quality factor of the target data area, µ 3 Indicates other factors affecting the spectral eigenvalues.

[0026] Preferably, the inversion calculation model is specifically expressed as: , η i represents the predicted value of the electromagnetic penetrating battery capacity in the ith sub-data area, RE i Represents the electromagnetic wave characteristic value of the i-th sub-data area, RP i Represents the battery characteristic value of the ith sub-data area, RS i represents the frequency spectrum characteristic value of the i-th sub-data area, σ represents the coupling coefficient, τ represents the reflection coefficient, κ represents the attenuation coefficient, and λ represents other influencing factors of the electromagnetic penetrating battery capacity prediction value.

[0027] Technical effects and advantages of the present invention:

[0028] The invention provides a stable voltage through a constant current source, thereby ensuring the current stability during the detection process and improving the accuracy of the detection result. The design of the constant current source enables the invention to adapt to the testing requirements of different single cells, thereby improving the versatility and practicality of the device. The design of the detection circuit adopts electromagnetic wave penetration technology, which can realize rapid and non-destructive detection of the internal structure of the single cell. The detection circuit can accurately judge the health status of the battery by receiving and analyzing the electromagnetic wave signal, including whether the battery is damaged, whether the capacity is decayed, etc., thereby avoiding the destructive detection problem that may exist in the traditional detection method. The coordinated use of the analog-to-digital converter and the micro control unit realizes the rapid processing and analysis of the detection signal. The analog-to-digital converter converts the voltage signal into a digital signal, which is convenient for the micro control unit to process. The micro control unit can quickly analyze the digital signal and transmit the analysis result to the display screen in real time, so that the user can intuitively understand the test result of the battery. The device of the invention also has the characteristics of simple operation and safe use. The invention adopts a modular design, and the connection between the various components is simple, easy to install and maintain. The device does not need to contact the battery surface during the detection process, thereby avoiding possible safety risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0030] Figure 2 It is a schematic diagram of the constant current source structure of the present invention.

[0031] Figure 3 It is a schematic diagram of the detection circuit structure of the present invention.

[0032] Figure 4 It is a schematic diagram of the structure of a complete embodiment of the present invention.

[0033] Figure 5 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] refer to Figure 1The device shown is a rapid detection device for recycling single-cell batteries based on electromagnetic waves, including a constant current source, a detection circuit, an analog-to-digital converter, a micro control unit, and a display screen.

[0036] The constant current source is used to provide a stable voltage;

[0037] The detection circuit is used to penetrate the battery with electromagnetic waves, convert the received waves into voltage signals and transmit them to the analog-to-digital converter;

[0038] The analog-to-digital converter is used to amplify the voltage signal, convert it into a digital signal and transmit it to the micro control unit;

[0039] The micro control unit is used to analyze the digital signal and transmit the analysis result to the display screen;

[0040] The display screen is used to display the battery test result.

[0041] refer to Figure 2 The constant current source includes a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a detection resistor Rsense, an operational amplifier U1A, and an NPN transistor Q1.

[0042] One end of the resistor R1 is connected to one end of the resistor R2 and one end of the detection resistor Rsense, one end of the resistor R2 is connected to the negative input end of the operational amplifier U1A and one end of the resistor R4, the other end of the resistor R4 is connected to the ground GND, the other end of the detection resistor Rsense is connected to one end of the resistor R3 and the ground GND, the other end of the resistor R3 is connected to the positive input end of the operational amplifier U1A, the output end of the operational amplifier U1A is connected to the collector of the NPN transistor Q1, the collector of the NPN transistor Q1 is connected to one end of the resistor R5, and one end of the resistor R5 is connected to the other end of the resistor R3 and the positive input end of the operational amplifier U1A.

[0043] The constant current source uses a Zener diode as a reference voltage source, which can provide a stable voltage. The operational amplifier amplifies the difference between the reference voltage source and the voltage drop across the detection resistor Rsense. The output NPN transistor Q1 controls the output current, which is limited by the resistor R5. The constant current source can adjust the current limit by changing the resistance value of R5.

[0044] refer to Figure 3 The detection circuit includes an oscillator Y1, a capacitor C1, a capacitor C2, a resistor R6, an electromagnetic wave detector P1, a TX coil, and a RX coil.

[0045] The first port of the oscillator Y1 is connected to one end of the resistor R6, the second port of the oscillator Y1 is connected to one end of the capacitor C1, the other end of the capacitor C1 is connected to one end of the TX coil, the other end of the TX coil is connected to the other end of the resistor R6, one end of the RX coil is connected to one end of the capacitor C2, the other end of the capacitor C2 is connected to the third port of the electromagnetic wave detector P1, the other end of the RX coil is connected to the fifth port of the electromagnetic wave detector P1, the first port of the electromagnetic wave detector P1 is connected to the power supply VCC, and the sixth port of the electromagnetic wave detector P1 is connected to the ground GND.

[0046] The detection circuit uses an oscillator to generate high-frequency electromagnetic waves, which are transmitted through the Tx coil, penetrate the battery and are received by the Rx coil, and the electromagnetic wave detector converts the received waves into voltage signals and transmits them to the analog-to-digital converter.

[0047] refer to Figure 5 The rapid detection system for recycling single-cell batteries based on electromagnetic waves shown in the figure also includes a data acquisition area division module, a detection data acquisition module, a detection data analysis module, an inversion calculation module, and a human-computer interaction module.

[0048] The data acquisition area division module is used to determine the data collected by the detection device as the target data area, divide the target data area into various sub-data areas according to the number of detections, and mark them as 1, 2...n in sequence.

[0049] The detection data acquisition module is used to collect electromagnetic wave characteristic data, battery characteristic data and spectrum analysis data of each sub-data area, and transmit the collected data to the detection data analysis module.

[0050] The electromagnetic wave characteristic data include penetration depth, waveform kurtosis, spectral power density and penetration angle, which are marked as Ed, Ew, Es, and Ep respectively; the battery characteristic data include self-discharge rate, standard capacity, battery state entropy, and electrochemical impedance, which are marked as Pe, Pc, Ps, and Pm respectively; the spectrum analysis data include peak frequency shift, phase delay, quality factor, and group delay dispersion, which are marked as Sf, Sp, Sm, and Sd respectively.

[0051] The detection data analysis module includes an electromagnetic wave characteristic data analysis unit, a battery characteristic data analysis unit and a spectrum analysis data analysis unit, which are used to analyze the data transmitted by the detection data acquisition module and transmit the analyzed data to the inversion calculation module.

[0052] The electromagnetic wave characteristic data analysis unit is used to establish an electromagnetic wave characteristic data analysis model, import the electromagnetic wave characteristic data transmitted by the detection data acquisition module into the electromagnetic wave characteristic data analysis model, and calculate the electromagnetic wave characteristic value of each sub-data area. The specific mathematical model is: , R.E. i represents the electromagnetic wave characteristic value of the i-th sub-data area, Ed i represents the penetration depth of the ith sub-data region, Ew i Indicates the waveform kurtosis of the i-th sub-data region, Es i represents the spectral power density of the ith sub-data region, Ep i represents the penetration angle of the ith sub-data area, Ed max Indicates the maximum penetration depth of the target data area, Ed min Indicates the minimum penetration depth of the target data area, Ew nor The kurtosis of the waveform when it represents the normal distribution, µ 1 Represents other influencing factors of the electromagnetic wave characteristic value.

[0053] The battery characteristic data analysis unit is used to establish a battery characteristic data analysis model, import the battery characteristic data transmitted by the detection data acquisition module into the battery characteristic data analysis model, and calculate the battery characteristic value of each sub-data area. The specific mathematical model is: , RP i represents the battery characteristic value of the ith sub-data area, Pe i represents the self-discharge rate of the ith sub-data region, Pc i Indicates the standard capacity of the ith sub-data area, Ps i represents the battery state entropy of the ith sub-data region, Pm i represents the electrochemical impedance of the ith sub-data region, Ps sta represents the standard state entropy, k represents the shaping parameter, Pm max Indicates the maximum electrochemical impedance of the target data area, µ 2 Indicates other influencing factors of battery characteristic values.

[0054] The spectrum analysis data analysis unit is used to establish a spectrum analysis data analysis model, import the spectrum analysis data transmitted by the detection data acquisition module into the spectrum analysis data analysis model, and calculate the spectrum characteristic value of each sub-data area. The specific mathematical model is: , R.S. i represents the frequency spectrum characteristic value of the i-th sub-data area, Sf i represents the peak frequency shift of the ith sub-data region, Sp i represents the phase delay of the ith sub-data region, Sm i represents the quality factor of the ith sub-data region, Sd i represents the group delay dispersion of the ith sub-data region, St i Indicates the spectrum analysis time of the ith sub-data region, Sm maxIndicates the maximum quality factor of the target data area, Sm min Represents the minimum quality factor of the target data area, µ 3 Indicates other factors affecting the spectral eigenvalues.

[0055] The inversion calculation module is used to establish an inversion calculation model, import the data transmitted by the monitoring data analysis module into the inversion calculation model, calculate the predicted value of the electromagnetic penetrating battery capacity of each sub-data area, and transmit it to the human-computer interaction module.

[0056] The inversion calculation model is specifically expressed as: , η i represents the predicted value of the electromagnetic penetrating battery capacity in the ith sub-data area, RE i Represents the electromagnetic wave characteristic value of the i-th sub-data area, RP i Represents the battery characteristic value of the ith sub-data area, RS i represents the frequency spectrum characteristic value of the i-th sub-data area, σ represents the coupling coefficient, τ represents the reflection coefficient, κ represents the attenuation coefficient, and λ represents other influencing factors of the electromagnetic penetrating battery capacity prediction value.

[0057] The human-computer interaction module is used to display the predicted value of the electromagnetic penetration type battery capacity through a display screen.

[0058] The invention provides a stable voltage through a constant current source, thereby ensuring the current stability during the detection process and improving the accuracy of the detection result. The design of the constant current source enables the invention to adapt to the testing requirements of different single cells, thereby improving the versatility and practicality of the device. The design of the detection circuit adopts electromagnetic wave penetration technology, which can realize rapid and non-destructive detection of the internal structure of the single cell. The detection circuit can accurately judge the health status of the battery by receiving and analyzing the electromagnetic wave signal, including whether the battery is damaged, whether the capacity is decayed, etc., thereby avoiding the destructive detection problem that may exist in the traditional detection method. The coordinated use of the analog-to-digital converter and the micro control unit realizes the rapid processing and analysis of the detection signal. The analog-to-digital converter converts the voltage signal into a digital signal, which is convenient for the micro control unit to process. The micro control unit can quickly analyze the digital signal and transmit the analysis result to the display screen in real time, so that the user can intuitively understand the test result of the battery. The device of the invention also has the characteristics of simple operation and safe use. The invention adopts a modular design, and the connection between the various components is simple, easy to install and maintain. The device does not need to contact the battery surface during the detection process, thereby avoiding possible safety risks.

[0059] Secondly: In the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other;

[0060] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A rapid detection system for recycled single batteries based on electromagnetic waves, characterized in that: include: Data collection area division module: used to determine the data collected by the detection equipment as the target data area, divide the target data area into various sub-data areas according to the number of detections, and mark them as 1, 2...n in sequence; Detection data acquisition module: used to collect electromagnetic wave characteristic data, battery characteristic data and spectrum analysis data of each sub-data area, and transmit the collected data to the detection data analysis module; The electromagnetic wave characteristic data include penetration depth, waveform kurtosis, spectral power density and penetration angle, which are marked as Ed, Ew, Es, and Ep respectively; the battery characteristic data include self-discharge rate, standard capacity, battery state entropy, and electrochemical impedance, which are marked as Pe, Pc, Ps, and Pm respectively; the spectrum analysis data include peak frequency shift, phase delay, quality factor, and group delay dispersion, which are marked as Sf, Sp, Sm, and Sd respectively; Detection data analysis module: including electromagnetic wave characteristic data analysis unit, battery characteristic data analysis unit and spectrum analysis data analysis unit, used for analyzing the data transmitted by the detection data acquisition module and transmitting the analyzed data to the inversion calculation module; The electromagnetic wave characteristic data analysis unit is used to establish an electromagnetic wave characteristic data analysis model, import the electromagnetic wave characteristic data transmitted by the detection data acquisition module into the electromagnetic wave characteristic data analysis model, and calculate the electromagnetic wave characteristic value of each sub-data area. The specific mathematical model is: , R.E. i represents the electromagnetic wave characteristic value of the i-th sub-data area, Ed i represents the penetration depth of the ith sub-data region, Ew i Indicates the waveform kurtosis of the i-th sub-data region, Es i represents the spectral power density of the ith sub-data region, Ep i represents the penetration angle of the ith sub-data area, Ed max Indicates the maximum penetration depth of the target data area, Ed min Indicates the minimum penetration depth of the target data area, Ew nor represents the kurtosis of the waveform in the normal distribution, and µ1 represents other influencing factors of the electromagnetic wave characteristic value; The battery characteristic data analysis unit is used to establish a battery characteristic data analysis model, import the battery characteristic data transmitted by the detection data acquisition module into the battery characteristic data analysis model, and calculate the battery characteristic value of each sub-data area. The specific mathematical model is: , RP i represents the battery characteristic value of the ith sub-data area, Pe i represents the self-discharge rate of the ith sub-data region, Pc i Indicates the standard capacity of the ith sub-data area, Ps i represents the battery state entropy of the ith sub-data region, Pm i represents the electrochemical impedance of the ith sub-data region, Ps sta represents the standard state entropy, k represents the shaping parameter, Pm max represents the maximum electrochemical impedance of the target data area, and µ2 represents other influencing factors of the battery characteristic value; The spectrum analysis data analysis unit is used to establish a spectrum analysis data analysis model, import the spectrum analysis data transmitted by the detection data acquisition module into the spectrum analysis data analysis model, and calculate the spectrum characteristic value of each sub-data area. The specific mathematical model is: , R.S. i represents the frequency spectrum characteristic value of the i-th sub-data area, Sf i represents the peak frequency shift of the ith sub-data region, Sp i represents the phase delay of the ith sub-data region, Sm i represents the quality factor of the ith sub-data region, Sd i represents the group delay dispersion of the ith sub-data region, St i Indicates the spectrum analysis time of the ith sub-data region, Sm max Indicates the maximum quality factor of the target data area, Sm min represents the minimum quality factor of the target data area, and µ3 represents other influencing factors of the spectrum eigenvalue; Inversion calculation module: used to establish an inversion calculation model, import the data transmitted by the monitoring data analysis module into the inversion calculation model, calculate the predicted value of the electromagnetic penetrating battery capacity of each sub-data area, and transmit it to the human-computer interaction module; Human-computer interaction module: used to display the predicted value of electromagnetic penetrating battery capacity through the display screen.

2. According to claim 1, a rapid detection system for recycling single batteries based on electromagnetic waves is characterized by: The inversion calculation model is specifically expressed as: , η i represents the predicted value of the electromagnetic penetrating battery capacity in the ith sub-data area, RE i Represents the electromagnetic wave characteristic value of the i-th sub-data area, RP i Represents the battery characteristic value of the ith sub-data area, RS i represents the frequency spectrum characteristic value of the i-th sub-data area, σ represents the coupling coefficient, τ represents the reflection coefficient, κ represents the attenuation coefficient, and λ represents other influencing factors of the electromagnetic penetrating battery capacity prediction value.

3. A rapid detection device for recycling single battery based on electromagnetic wave, used to implement a rapid detection system for recycling single battery based on electromagnetic wave as described in any one of claims 1-2, characterized in that: include: Constant current source: used to provide stable voltage; Detection circuit: used to penetrate the battery with electromagnetic waves, convert the received waves into voltage signals and transmit them to the analog-to-digital converter; Analog-to-digital converter: used to amplify the voltage signal, convert it into a digital signal and transmit it to the micro control unit; Micro control unit: used to analyze digital signals and transmit the analysis results to the display screen; Display screen: used to display battery test results.

4. The rapid detection device for recycling single battery based on electromagnetic wave method according to claim 3 is characterized by: The constant current source includes a resistor R1, a resistor R2, a resistor R3, a resistor R4, a resistor R5, a detection resistor Rsense, an operational amplifier U1A, and an NPN transistor Q1; One end of the resistor R1 is connected to one end of the resistor R2 and one end of the detection resistor Rsense, one end of the resistor R2 is connected to the negative input end of the operational amplifier U1A and one end of the resistor R4, the other end of the resistor R4 is connected to the ground GND, the other end of the detection resistor Rsense is connected to one end of the resistor R3 and the ground GND, the other end of the resistor R3 is connected to the positive input end of the operational amplifier U1A, the output end of the operational amplifier U1A is connected to the collector of the NPN transistor Q1, the collector of the NPN transistor Q1 is connected to one end of the resistor R5, and one end of the resistor R5 is connected to the other end of the resistor R3 and the positive input end of the operational amplifier U1A.

5. The rapid detection device for recycling single battery based on electromagnetic wave method according to claim 3 is characterized by: The detection circuit includes an oscillator Y1, a capacitor C1, a capacitor C2, a resistor R6, an electromagnetic wave detector P1, a TX coil, and a RX coil; The first port of the oscillator Y1 is connected to one end of the resistor R6, the second port of the oscillator Y1 is connected to one end of the capacitor C1, the other end of the capacitor C1 is connected to one end of the TX coil, the other end of the TX coil is connected to the other end of the resistor R6, one end of the RX coil is connected to one end of the capacitor C2, the other end of the capacitor C2 is connected to the third port of the electromagnetic wave detector P1, the other end of the RX coil is connected to the fifth port of the electromagnetic wave detector P1, the first port of the electromagnetic wave detector P1 is connected to the power supply VCC, and the sixth port of the electromagnetic wave detector P1 is connected to the ground GND.

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