Battery analysis system based on magnetic field transmission detection technology of quantum magnetic sensor

Abstract

The invention provides a battery analysis system based on a magnetic field transmission detection technology of a quantum magnetic sensor, and the system comprises a magnetic field generation part which is used for transmitting a magnetic field which penetrates through a detected battery and detects the detected battery; the quantum magnetic induction component is used for collecting the magnetic induction intensity of the magnetic field transmitted through the tested battery, and the tested battery is arranged between the magnetic field generation component and the quantum magnetic induction component; the processing module is used for controlling the size direction or frequency of the magnetic field generated by the magnetic field generation component; the magnitude or frequency of bias current / voltage of the quantum magnetic induction component is controlled; receiving the magnetic induction intensity acquired by the quantum magnetic induction component, and performing signal processing on the magnetic induction intensity; and the analysis module is used for analyzing internal defects and an aging mechanism of the tested battery based on the magnetic induction intensity processed by the processing module. According to the invention, the detected battery does not need to be in a charge-discharge state, interference of an environmental magnetic field does not need to be shielded, and internal defects and an aging mechanism of the battery can be nondestructively detected and analyzed.

Description

Technical Field

[0001] The present invention relates to the technical field of battery detection, and particularly to a battery analysis system based on a magnetic field transmission detection technology using a quantum magnetic sensor. Background Art

[0002] For the detection of internal defects of batteries, especially lithium batteries, existing technical means include using X-rays, ultrasonic waves, thermal imaging, magnetic resonance, etc. for detection, as well as detecting by analyzing the electrochemical impedance spectrum of the battery, and weak magnetic detection, magnetic field gradient detection, and so on. However, these detection means all have some problems to varying degrees, as follows:

[0003] 1. X-rays: The cost of detection equipment is high, and there is a radiation hazard.

[0004] 2. Ultrasonic waves: The detection results for batteries with complex shapes and uneven surfaces may be affected, and good coupling with the battery surface is required, and the detection operation is relatively complex.

[0005] 3. Thermal imaging: It can only detect surface temperature changes, has limited ability to detect defects in deeper positions inside the battery, and is greatly affected by the ambient temperature and heat dissipation conditions.

[0006] 4. Electrochemical impedance spectrum: The test results are greatly affected by factors such as the charge and discharge state and temperature of the battery, and professional equipment and data analysis capabilities are required.

[0007] 5. Magnetic resonance: The equipment is expensive, and the operation and maintenance costs are also relatively high.

[0008] 6. Weak magnetic detection: The battery needs to be in a charge and discharge state, and it needs to be carried out in a strict electromagnetic shielding environment.

[0009] 7. Magnetic field gradient detection: Similar to weak magnetic detection, the battery needs to be in a charge and discharge state, and it needs to be carried out in a strict electromagnetic shielding environment.

[0010] In summary, the current non-destructive testing technologies are either expensive in equipment, limited in detection ability, or require contact. And the magnetic field-based detection technologies require the battery to be in a charge and discharge state and strict electromagnetic shielding to measure its weak magnetic field. Summary of the Invention

[0011] In order to overcome the defects existing in the above-mentioned prior art, the purpose of the present invention is to provide a battery analysis system based on a magnetic field transmission detection technology using a quantum magnetic sensor.

[0012] In order to achieve the above object of the present invention, the present invention provides a battery analysis system based on a magnetic field transmission detection technology using a quantum magnetic sensor, including:

[0013] A magnetic field generating component for emitting a magnetic field that penetrates the battery under test and detects the battery under test;

[0014] A quantum magnetic induction component is arranged opposite to the magnetic field generating component in position. The battery under test is arranged between the magnetic field generating component and the quantum magnetic induction component. The quantum magnetic induction component is used to collect the magnetic induction intensity after the magnetic field penetrates the battery under test;

[0015] A processing module, its first output end is controllably connected to the input end of the magnetic field generating component, and is used to control the magnetic field generating component to generate the magnetic field characteristics required for detection; the second output end of the processing module is connected to the control end of the quantum magnetic induction component to control the working conditions of the quantum magnetic induction component; the input end of the processing module is electrically connected to the output end of the quantum magnetic induction component, receives the magnetic induction intensity collected by the quantum magnetic induction component, and performs signal processing on it;

[0016] An analysis module, its input end is electrically connected to the output end of the processing module, and analyzes the internal defects and aging mechanism of the battery under test based on the magnetic induction intensity processed by the processing module.

[0017] In this battery analysis system, the processing module controls the magnetic field generating component to generate a magnetic field with a certain magnitude, direction and frequency; when the magnetic field penetrates the object under test, due to the change in magnetic permeability formed by internal defects or aging in the battery under test, it will cause a weak change in the magnetic induction intensity at the defects or aging; the processing module controls the working conditions of the quantum magnetic induction component, and the quantum magnetic induction component senses the magnetic induction intensity of the magnetic field generated by the magnetic field generating component transmitted through the battery under test, and outputs a voltage signal linearly proportional to the magnetic induction intensity; the processing module receives the voltage signal and performs signal processing; the analysis module can analyze the internal defects and aging conditions of the battery under test through these processed signals.

[0018] In an alternative solution of this battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensors, the processing module includes:

[0019] An acquisition circuit, its input end is electrically connected to the output end of the quantum magnetic induction component, and is used to receive the magnetic induction intensity collected by the quantum magnetic induction component;

[0020] A processor, its input end is electrically connected to the output end of the acquisition circuit, and performs signal processing on the magnetic induction intensity received from the acquisition circuit; its output end is connected to the input end of the drive circuit, generates an electrical signal for controlling the working conditions of the quantum magnetic induction component and an electrical signal for controlling the magnetic field generating component to generate the magnetic field characteristics required for detection, and sends them to the drive circuit;

[0021] A drive circuit, whose input end is electrically connected to the output end of a processor, and whose first output end is electrically connected to the input end of a magnetic field generating component, provides a drive current for the magnetic field generating component according to an electrical signal for controlling the magnetic field characteristics required for detection generated by the magnetic field generating component; its second output end is connected to the control end of a quantum magnetic induction component, and provides a bias current for the quantum magnetic induction component according to an electrical signal for controlling the operating conditions of the quantum magnetic induction component.

[0022] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, the processing module further includes an analog front-end circuit;

[0023] The input end of the analog front-end circuit is electrically connected to the output end of the quantum magnetic induction component, and is used to capture and process the voltage signal output by the quantum magnetic induction component, and extract an effective signal reflecting the change in the magnetic induction intensity of the magnetic field as the magnetic induction intensity signal; the output end of the analog front-end circuit is electrically connected to the input end of the acquisition circuit, and the acquisition circuit receives the magnetic induction intensity signal and converts it from an analog signal to a digital signal.

[0024] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, it further includes a detection table, on which a slide rail is provided, and the quantum magnetic induction component and the magnetic field generating component slide synchronously in the same direction through the slide rail, and the magnetic induction intensity after the magnetic field transmits through the entire battery under test is obtained point by point in a point-scanning manner.

[0025] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, the quantum magnetic induction component and the magnetic field generating component are fixedly connected to each other through a side connection member, and the quantum magnetic induction component and the magnetic field generating component are integrally slidably arranged on the slide rail.

[0026] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, the slide rail includes a first slide rail and a second slide rail, the quantum magnetic induction component is slidably arranged on the first slide rail, the magnetic field generating component is slidably arranged on the second slide rail, and the quantum magnetic induction component and the magnetic field generating component slide synchronously.

[0027] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, the magnetic field generated by the magnetic field generating component covers the battery under test, and the quantum magnetic induction component includes a sensor array composed of a plurality of quantum magnetic sensors.

[0028] In an alternative solution of the battery analysis system based on the magnetic field transmission detection technology using a quantum magnetic sensor, the analysis module performs one or any combination of the following analyses:

[0029] The magnetic induction intensity corresponding to each scanning point or the magnetic induction intensity collected by each quantum magnetic sensor is combined to generate a magnetic field image, showing the magnetic induction intensity of the entire battery area after the magnetic field passes through the battery under test;

[0030] Deep learning technology is used to automatically identify, label, and measure internal defects and aging in the battery;

[0031] The generated magnetic field image is used by professional personnel to identify, label, and measure internal defects and aging mechanisms in the battery.

[0032] In an alternative embodiment of the battery analysis system based on the magnetic field transmission detection technology using quantum magnetic sensors, a database is stored in the analysis module. The database includes various internal defects of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field transmitted from the battery under test collected by the battery analysis system; and various aging mechanisms of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field transmitted from the battery under test collected by the battery analysis system.

[0033] The beneficial effects of the present invention are:

[0034] The present invention uses a quantum magnetic sensor to detect a weak magnetic field with a magnetic induction intensity as low as the nanotesla level (10 -9 T), with low cost.

[0035] The magnetic field detected by the present invention is an externally built magnetic field of the magnetic field generating component, and the magnetic field intensity, direction, and frequency are controlled. The battery under test does not need to be in a charging or discharging state, and it is not sensitive to the ambient magnetic field and noise, and does not require shielding from the interference of the ambient magnetic field.

[0036] The present invention adopts a transmission detection technology, that is, the battery under test is located between the magnetic field generating component and the magnetic field sensing component, and all defects in each dielectric layer of the battery can be quickly located.

[0037] The magnetic field characteristics generated by the magnetic field generating component of the present invention can be changed according to the battery under test to achieve the best detection effect.

[0038] The present invention can be applied to the battery industry for non-destructive detection and analysis of internal defects and aging mechanisms of batteries.

[0039] The present invention presents the magnitude of the magnetic induction after the magnetic field passes through the battery under test in the form of an image, intuitively showing the defects; it can also automatically identify, label, and measure internal defects and aging mechanisms in the battery by means of artificial intelligence such as deep learning; it also supports the identification, labeling, and measurement of internal defects and aging mechanisms in the battery by industry experts.

[0040] Additional aspects and advantages of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. Brief Description of the Drawings

[0041] The above and / or additional aspects and advantages of the present invention will become apparent and be readily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0042] Figure 1 is a schematic structural diagram of the first embodiment;

[0043] Figure 2 is a schematic structural diagram of the second embodiment. Detailed Description of the Embodiments

[0044] Embodiments of the present invention will be described in detail below. Examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0045] In the description of the present invention, unless otherwise specified and defined, it should be noted that the terms "mounted", "connected", and "connected" should be understood in a broad sense. For example, it may be a mechanical connection or an electrical connection, or may be the communication inside two elements. It may be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific situations.

[0046] The First Embodiment

[0047] As Figure 1 shown, the present invention provides a battery analysis system based on a magnetic field transmission detection technology of a quantum magnetic sensor, including: a magnetic field generating component, a quantum magnetic induction component, a processing module, and an analysis module.

[0048] Among them, the magnetic field generating component is used to emit a magnetic field that penetrates the battery under test and detects the battery under test; the quantum magnetic induction component is arranged opposite to the magnetic field generating component, and the battery under test is arranged between the magnetic field generating component and the quantum magnetic induction component. The quantum magnetic induction component is used to collect the magnetic induction intensity after the magnetic field for detecting the battery under test passes through the battery under test; the first output end of the processing module is controllably connected to the input end of the magnetic field generating component, and is used to control the magnetic field generating component to generate the magnetic field characteristics required for detection; the second output end of the processing module is connected to the control end of the quantum magnetic induction component to control the working conditions of the quantum magnetic induction component; the input end of the processing module is electrically connected to the output end of the quantum magnetic induction component, receives the magnetic induction intensity collected by the quantum magnetic induction component, and performs signal processing on it; the input end of the analysis module is electrically connected to the output end of the processing module, and analyzes the internal defects and aging mechanism of the battery under test based on the magnetic induction intensity processed by the processing module.

[0049] In this embodiment, the working conditions of the quantum magnetic induction component, such as the magnitude and frequency of the bias current / voltage, can be changed according to the model, parameters, etc. of the battery under test to achieve the optimal detection effect. The magnetic field characteristics generated by the magnetic field generating component can be changed according to the battery under test to achieve the optimal detection effect. The magnetic field characteristics include: the magnetic induction intensity or frequency of the magnetic field, and the magnetic field characteristics are determined by the magnitude and frequency of the current on the coil. The magnetic field generating component and the quantum magnetic induction component are arranged on the detection table. Specifically, a slide rail is arranged on the detection table, and the quantum magnetic induction component and the magnetic field generating component slide in the same direction and synchronously through the slide rail to obtain the magnetic induction intensity after the magnetic field for detecting the battery under test passes through the entire battery under test point by point in a point-scanning manner.

[0050] The quantum magnetic induction component and the magnetic field generating component can be set separately or fixedly connected as a whole.

[0051] When the quantum magnetic induction component and the magnetic field generating component are separately arranged, the slide rail includes a first slide rail and a second slide rail. The quantum magnetic induction component is slidably arranged on the first slide rail, and the magnetic field generating component is slidably arranged on the second slide rail. The quantum magnetic induction component and the magnetic field generating component slide synchronously. At this time, the detection table further includes a driving structure, and the driving structure includes a motor, a second transmission mechanism, and a third transmission mechanism. The control end of the motor is controllably connected to the control output end of the processing module, and the processing module controls the rotation of the motor. The output shaft of the motor is synchronously and transmissionally connected to the second transmission mechanism and the third transmission mechanism respectively. The quantum magnetic induction component is arranged on the second transmission mechanism, and the magnetic field generating component is arranged on the third transmission mechanism. The processing module controls the motor to work, synchronously driving the second transmission mechanism and the third transmission mechanism to transmit, so that the quantum magnetic induction component and the magnetic field generating component move synchronously. The magnetic field generating component detects the entire battery under test point by point in a point scanning manner, and the quantum magnetic induction component obtains the magnetic induction intensity of the magnetic field transmitted through the entire battery under test for detecting the battery under test point by point.

[0052] When the quantum magnetic induction component and the magnetic field generating component are fixedly connected as a whole, the quantum magnetic induction component and the magnetic field generating component are fixedly connected as a whole through a side connecting member, and the quantum magnetic induction component and the magnetic field generating component are integrally and slidably arranged on the slide rail. At this time, the detection table further includes a driving mechanism, and the driving mechanism includes a motor and a first transmission mechanism. The control end of the motor is controllably connected to the control output end of the processing module, and the processing module controls the rotation of the motor. The first transmission mechanism is transmissionally connected to the output shaft of the motor, and the quantum magnetic induction component or the magnetic field generating component is arranged on the first transmission mechanism. The processing module controls the motor to work, synchronously driving the first transmission mechanism to transmit, so that the quantum magnetic induction component and the magnetic field generating component move synchronously. The magnetic field generating component detects the entire battery under test point by point in a point scanning manner, and the quantum magnetic induction component obtains the magnetic induction intensity of the magnetic field transmitted through the entire battery under test for detecting the battery under test point by point.

[0053] This embodiment is applicable to the situation where the magnetic field generating component and the quantum magnetic induction component cannot complete the detection of the battery under test at one time. For example: the quantum magnetic induction component includes a small number of quantum magnetic sensors, such as one or two. Here, the small number means that the quantum magnetic induction component cannot cover the entire battery under test; the magnetic field generating component is composed of a coil with a fixed number of turns, and the diameter of the coil is smaller than the length of the side of the battery under test facing the coil, which means that the magnetic field generated by the magnetic field generating component cannot cover the entire battery under test. Applying current to the coil can generate a magnetic field, and the magnetic induction intensity of the magnetic field is proportional to the coil current.

[0054] To detect various inner battery defects and failure mechanisms, the processing module applies an alternating current with a frequency ranging from 0 Hz to 10 MHz to the coil, generating an alternating magnetic field with a frequency ranging from 0 Hz to 10 MHz, which can be specifically determined according to the model, parameters, etc. of the battery under test. The distance between the magnetic field generating component and the battery under test is no more than 1 centimeter. To achieve a magnetic field response of nanotesla (10 -9 T), the processing module controls the bias current / voltage frequency of the quantum magnetic sensor to be from 0 Hz to 100 kHz to improve the signal-to-noise ratio of the effective signal output by the quantum magnetic sensor. The distance between the quantum magnetic induction component and the battery under test is no more than 1 centimeter. This is achieved through the processor and drive circuit in the processing module. Specifically, the processor can be a single-chip microcomputer, microprocessor, FPGA, or DSP, etc. Its output end is connected to the input end of the drive circuit, generating an electrical signal for controlling the working conditions (such as bias voltage frequency) of the quantum magnetic induction component and an electrical signal for controlling the magnetic field generating component to generate the magnetic field characteristics required for detection (such as coil current frequency), and sending them to the drive circuit; the drive circuit is composed of operational amplifiers, and a conventional application circuit can be used here. Its input end is electrically connected to the output end of the processor. Its first output end is electrically connected to the input end of the magnetic field generating component, providing a drive current for the magnetic field generating component according to the electrical signal for controlling the magnetic field generating component to generate the magnetic field characteristics required for detection (such as coil current frequency); its second output end is connected to the control end of the quantum magnetic induction component, providing a bias current for the quantum magnetic induction component according to the electrical signal for controlling the working conditions (such as bias voltage frequency) of the quantum magnetic induction component.

[0055] The processor also drives the transmission mechanism to drive by controlling the rotation of the motor, enabling the quantum magnetic induction component and the magnetic field generating component to move synchronously in a point-scanning manner, so that the magnetic field generating component detects the entire battery under test point by point in a point-scanning manner, and the quantum magnetic induction component obtains the magnetic induction intensity after the magnetic field transmitted through the entire battery under test for detection point by point. The number of scanned points here determines the detection accuracy.

[0056] After the quantum magnetic induction component collects the magnetic induction intensity transmitted through the battery under test, it is obtained and processed by the analog front-end circuit in the processing module. Specifically, the analog front-end circuit is composed of an instrumentation amplifier, an operational amplifier, a phase-sensitive detector, and a low-pass filter. The input end of the analog front-end circuit is electrically connected to the output end of the quantum magnetic induction component, and successively captures and processes the voltage signal output by the quantum magnetic induction component through the instrumentation amplifier, operational amplifier, phase-sensitive detector, and low-pass filter, filtering out the noise interference therein, and extracting the effective signal reflecting the change in the magnetic induction intensity of the magnetic field as the magnetic induction intensity signal. Conventional application circuits can be used for the instrumentation amplifier, operational amplifier, phase-sensitive detector, and low-pass filter.

[0057] The output end of the analog front-end circuit is electrically connected to the input end of the acquisition circuit in the processing module. The acquisition circuit is composed of an analog-to-digital converter. The acquisition circuit receives the magnetic induction intensity signal and converts it from an analog signal to a digital signal. The input end of the processor is electrically connected to the output end of the acquisition circuit, and performs signal processing on the magnetic induction intensity signal received from the acquisition circuit. In this example, fast Fourier transform, digital filtering, digital detection, etc. are used to further improve the signal-to-noise ratio of the effective signal.

[0058] The analysis module includes a host computer. The host computer obtains the magnetic induction intensity output by the front-end processing module, combines the magnetic induction intensities of each scanning point to generate a magnetic field image, and uses a display component to display the magnetic induction intensity of the entire battery area after the magnetic field passes through the battery under test.

[0059] The analysis module stores a database, which includes various internal defects of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field detected by the battery analysis system for the battery under test transmitted through the battery under test; and various aging mechanisms of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field detected by the battery analysis system for the battery under test transmitted through the battery under test.

[0060] The host computer can also be built-in with various common battery defect models deep-learned using the above database, and can automatically identify, label, and measure the internal defects and aging mechanisms of the battery.

[0061] The host computer can also send the generated magnetic field image to a third party for professional personnel to identify, label, and measure the internal defects and aging mechanisms of the battery.

[0062] Embodiment 2

[0063] The present application also provides another battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensors. This embodiment is substantially the same as Embodiment 1, and the differences are as follows:

[0064] The magnetic field generating component is composed of a coil with a fixed number of turns whose diameter covers the battery under test. Applying a current to the coil can generate a magnetic field covering the battery under test, and the magnetic induction intensity of the magnetic field is proportional to the coil current. In order to detect various inner-layer battery defects and failure mechanisms, the processing module applies an alternating current with a frequency from 0 Hz to 10 MHz to the coil to form an alternating magnetic field from 0 Hz to 10 MHz. The distance between the magnetic field generating component and the battery under test is not greater than 1 centimeter.

[0065] The quantum magnetic induction component is a sensor array composed of multiple quantum magnetic sensors, and the array size covers the entire battery under test. In order to achieve -9For the magnetic field response of the battery under test (T), the processing module controls the bias current frequency of the sensor array to be from 0 Hz to 100 kHz. The distance between the quantum magnetic induction component and the battery under test is not greater than 1 cm.

[0066] In this embodiment, it is not necessary to arrange the magnetic field generating component and the quantum magnetic induction component on the slide rail, and the settings of other components and the corresponding controls are the same as those in the first embodiment.

[0067] When the analysis module performs analysis, the host computer acquires the magnetic induction intensity output by each quantum magnetic sensor, combines the magnetic induction intensities of each quantum magnetic sensor to generate a magnetic field image, and uses the display component to display the magnetic induction intensity of the entire battery area after the magnetic field passes through the battery under test;

[0068] The host computer can also be built-in with various common battery defect models after deep learning, and can automatically identify, label, and measure the internal defects and aging mechanisms of the battery.

[0069] The host computer can also send the generated magnetic field image to a third party for professional personnel to identify, label, and measure the internal defects and aging mechanisms of the battery.

[0070] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0071] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and purposes of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

Claims

1. A battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor, characterized in that: include: A magnetic field generating component, used for emitting a magnetic field that penetrates the battery under test and detects the battery under test; A quantum magnetic induction component is arranged opposite to the magnetic field generating component, the battery under test is arranged between the magnetic field generating component and the quantum magnetic induction component, and the quantum magnetic induction component is used to collect the magnetic induction intensity after the magnetic field passes through the battery under test; A processing module, wherein a first output end thereof is control-connected to an input end of a magnetic field generating component, and is used to control the magnetic field characteristics required for detection generated by the magnetic field generating component; a second output end of the processing module is connected to a control end of a quantum magnetic induction component, and controls the working conditions of the quantum magnetic induction component; an input end of the processing module is electrically connected to an output end of the quantum magnetic induction component, and receives the magnetic induction intensity collected by the quantum magnetic induction component, and performs signal processing on the magnetic induction intensity; The analysis module has an input end electrically connected to the output end of the processing module, and analyzes the internal defects and aging mechanism of the tested battery based on the magnetic induction intensity processed by the processing module.

2. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 1 is characterized in that: The magnetic field generating component and the quantum magnetic induction component are both kept at a fixed distance from the battery being tested.

3. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 1 is characterized in that: The processing module comprises: A collection circuit, whose input end is electrically connected to the output end of the quantum magnetic induction component, and is used to receive the magnetic induction intensity collected by the quantum magnetic induction component; A processor, whose input end is electrically connected to the output end of the acquisition circuit, performs signal processing on the magnetic induction intensity received from the acquisition circuit; whose output end is connected to the input end of the drive circuit, generates an electrical signal for controlling the working conditions of the quantum magnetic induction component and an electrical signal for controlling the magnetic field generating component to generate the magnetic field characteristics required for detection, and sends them to the drive circuit; A driving circuit, wherein the input end thereof is electrically connected to the output end of the processor, the first output end thereof is electrically connected to the input end of the magnetic field generating component, and the driving current is provided to the magnetic field generating component according to the electrical signal for controlling the magnetic field generating component to generate the magnetic field characteristics required for detection; the second output end thereof is connected to the control end of the quantum magnetic induction component, and the bias current is provided to the quantum magnetic induction component according to the electrical signal for controlling the working conditions of the quantum magnetic induction component.

4. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 3 is characterized in that: The processing module also includes an analog front-end circuit; The input end of the analog front-end circuit is electrically connected to the output end of the quantum magnetic induction component, and is used to capture and process the voltage signal output by the quantum magnetic induction component, and extract the effective signal reflecting the change of the magnetic induction intensity of the magnetic field as the magnetic induction intensity signal; the output end of the analog front-end circuit is electrically connected to the input end of the acquisition circuit, and the acquisition circuit receives the magnetic induction intensity signal and converts it from an analog signal to a digital signal.

5. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 1 is characterized in that: It also includes a test bench, on which a slide rail is provided. The quantum magnetic induction component and the magnetic field generating component slide synchronously in the same direction through the slide rail, and the magnetic induction intensity of the magnetic field after it passes through the entire tested battery is obtained point by point in a point scanning manner.

6. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 5 is characterized in that: The quantum magnetic induction component and the magnetic field generating component are fixedly connected together through a side connecting piece, and the quantum magnetic induction component and the magnetic field generating component are integrally slidably arranged on the slide rail.

7. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 5 is characterized in that: The slide rail comprises a first slide rail and a second slide rail, the quantum magnetic induction component is slidably arranged on the first slide rail, the magnetic field generating component is slidably arranged on the second slide rail, and the quantum magnetic induction component and the magnetic field generating component slide synchronously.

8. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 1 is characterized in that: The magnetic field generated by the magnetic field generating component covers the battery under test, and the quantum magnetic induction component includes a sensor array composed of a plurality of quantum magnetic sensors.

9. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 5 or 8, characterized in that: The analysis module performs one or any combination of the following analyses: The magnetic induction intensity corresponding to each scanning point or the magnetic induction intensity collected by each quantum magnetic sensor is combined to generate a magnetic field image, which shows the magnetic induction intensity of the entire battery area after the magnetic field passes through the tested battery; Use deep learning technology to automatically identify, mark and measure internal defects and aging of batteries; The generated magnetic field images are used by professionals to identify, mark and measure the internal defects and aging mechanisms of the battery.

10. The battery analysis system based on the magnetic field transmission detection technology of quantum magnetic sensor according to claim 9 is characterized in that: The analysis module stores a database, which includes various internal defects of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field after being transmitted from the battery under test and collected by the battery analysis system; and various aging mechanisms of various batteries and the corresponding magnetic induction intensity distribution data of the magnetic field after being transmitted from the battery under test and collected by the battery analysis system.

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