Energy storage battery performance detection system, detection method, electronic device and storage medium

Abstract

The energy storage battery performance detection system, detection method, electronic equipment and storage medium belong to the technical field of energy storage battery detection, solve the problem of how to quickly and accurately detect the performance of the energy storage battery, the quantum sensor probe array is arranged on the surface of the measured battery pack, the excitation signal conditioning and following circuit is connected with the measured battery pack, the data acquisition unit is connected with the quantum sensor probe array, the lock-in amplifier receives the multi-channel high-frequency detection signal output by the excitation signal conditioning circuit, and extracts the phase and amplitude information, and calculates the impedance characteristic; the MCU unit is connected with the data acquisition unit and the lock-in amplifier, is used for judging the threshold value, and judges the defect based on the real-time magnetic field strength data collected by the data acquisition unit and the impedance characteristic data calculated by the lock-in amplifier; the quantum magnetic sensing technology and high-frequency excitation response analysis are combined, the non-contact magnetic field detection and impedance characteristic synchronous extraction are realized, and the performance of the energy storage battery is quickly, non-destructively and accurately evaluated.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of energy storage battery detection, and relates to an energy storage battery performance detection system, a detection method, electronic equipment and a storage medium. BACKGROUND

[0002] The existing battery performance detection mainly depends on two indexes of internal resistance and self-discharge rate, but the traditional method has significant defects:

[0003] 1) Internal resistance detection

[0004] AC impedance method (AC-IR): a high-frequency small signal (such as 1 kHz) is applied, and only ohmic resistance can be measured (<1 second), and the polarization effect under dynamic working conditions cannot be reflected. DC internal resistance method (DC-IR): the voltage drop is measured by a large current pulse (such as 10C / 2 seconds), which contains polarization resistance, but the pulse current accelerates battery aging, and the single battery impedance cannot be separated.

[0005] 2) Self-discharge rate detection

[0006] The capacity loss needs to be measured after full charging and standing for 28 days (monthly self-discharge rate = capacity loss / standing days x 30). Direct discharge method: discharging to the cut-off voltage at a constant current (such as 0.2C), which takes a long time and accelerates battery aging. Open circuit voltage method: estimating the capacity through the OCV-SOC curve, and the error is as high as ±5%.

[0007] Therefore, whether it is internal resistance detection or self-discharge rate detection, both are contact detection, and need to be charged and discharged; and the internal resistance test cannot accurately locate the single battery defect in the battery pack, and the self-discharge test period is long, which leads to production stop or quality risk.

[0008] Quantum sensor (atomic magnetometer / NV color center) has high sensitivity and non-contact advantage. The NV color center (detection) is a point defect quantum magnetic resonance structure in diamond, which is obtained by replacing two adjacent carbon atoms with a nitrogen atom and a hole. The structure can induce magnetic resonance effect, and the strength of the magnetic field is determined by microwave sweep to realize high-precision and high-spatial-resolution magnetic field measurement. The basic principle of NV color center for measuring magnetic field is that the electron spin state ground state of NV color center has three energy levels: (ms=0), (ms=+1) and (ms=-1), with zero field splitting D=2870MHz. In the absence of an external magnetic field, the energy of the two energy levels ms=±1 is degenerate. When the NV senses the magnetic field, the energy level is split, and the size of the split is related to the axial component of the magnetic field at the NV. The size of the magnetic field component in the NV direction can be obtained by detecting the size of the energy level split through the ODMR spectrum (or CW spectrum) obtained by optical detection of magnetic resonance (ODMR) in the experiment. Among them, the resonance spectrum obtained by applying continuous laser and microwave is called CW-ODMR, which is abbreviated as CW spectrum.

[0009] In the prior art, there is no effective technical solution that uses the high sensitivity and non-contact advantage of quantum sensor to quickly and accurately detect the performance of energy storage battery. Therefore, how to quickly and accurately detect the performance of energy storage battery based on quantum sensor is a problem that needs to be solved at present. SUMMARY

[0010] The technical solution of the present application is used to solve the problem of how to quickly and accurately detect the performance of energy storage battery.

[0011] The present application solves the above technical problems by the following technical solutions:

[0012] The present application provides a kind of energy storage battery performance detection system, including: quantum sensor probe array, excitation signal conditioning and following circuit, data acquisition unit phase-locked amplifier and MCU unit;

[0013] The quantum sensor probe array is arranged on the surface of the measured battery pack, for detecting the change of magnetic field strength;

[0014] The excitation signal conditioning and following circuit is connected with the measured battery pack, for inputting high-frequency alternating excitation signal to the measured battery pack;

[0015] The data acquisition unit is connected with the quantum sensor probe array, for collecting the magnetic field strength data of the measured battery pack;

[0016] The phase-locked amplifier receives the multiple high-frequency detection signals output by the excitation signal conditioning circuit, extracts the phase and amplitude information, and calculates the impedance characteristics of the measured battery pack.

[0017] The MCU unit is connected with the data acquisition unit and the phase-locked amplifier, and is used for storing the magnetic field intensity and impedance characteristic data of the non-defective battery pack as a judgment threshold, and judging defects based on the real-time magnetic field intensity data collected by the data acquisition unit and the impedance characteristic data calculated by the phase-locked amplifier.

[0018] Preferably, the quantum sensor probe array adopts a full-field atomic magnetometer.

[0019] Further, the excitation signal conditioning and following circuit enhances the signal driving capability through a high-speed operational amplifier following circuit, and prevents direct current bias from causing battery aging through a direct-current blocking capacitor.

[0020] Further, the excitation signal conditioning and following circuit and the phase-locked amplifier realize working frequency synchronization through sharing a local oscillator signal.

[0021] Preferably, the quantum sensor probe array is connected with the data acquisition unit through a wire harness.

[0022] Preferably, the data acquisition unit inputs the collected magnetic field intensity data into the MCU unit through a USB physical interface.

[0023] The application also provides a detection method based on the above energy storage battery performance detection system, comprising:

[0024] Step 1: generating a high-frequency alternating excitation signal of a specific frequency and a specific phase by a signal generator, inputting the signal into an excitation signal conditioning and following circuit, and injecting the high-frequency alternating excitation signal of the specific frequency and the specific phase into the battery to be measured by the excitation signal conditioning and following circuit;

[0025] Step 2: collecting the magnetic field intensity data of the battery surface by a quantum sensor probe array, and transmitting the real-time collected quantum sensor magnetic field intensity data to the MCU unit by a data acquisition unit;

[0026] Step 3: processing the response signal of the excitation signal by the excitation signal conditioning and following circuit, and outputting the multi-channel high-frequency detection signal to the phase-locked amplifier;

[0027] Step 4: extracting the phase and amplitude of the multi-channel high-frequency detection signal by the phase-locked amplifier, and calculating the battery impedance characteristic;

[0028] Step 5: comparing the magnetic field intensity data collected by the data acquisition unit and the battery impedance characteristic calculated by the phase-locked amplifier with the judgment threshold pre-stored in the MCU unit, and judging the single defect if the deviation is out of limit.

[0029] Further, the method for obtaining the determination threshold is: using a quantum sensor probe array to detect the magnetic field intensity of a standard battery without defects, and collecting the magnetic field intensity data thereof by a data acquisition unit, and storing the magnetic field intensity data and impedance characteristic data in the state without defects in the MCU unit as the determination threshold.

[0030] The application further provides an electronic device comprising a memory and a processor, the memory being configured to store a program supporting the processor to execute the detection method, and the processor being configured to execute the program stored in the memory.

[0031] The application further provides a storage medium, wherein the storage medium stores a computer program, and the computer program is configured to execute the steps of the detection method when executed by a processor.

[0032] The application has the following advantages:

[0033] The application combines quantum magnetic sensing technology and high-frequency excitation response analysis, and solves the bottleneck of traditional methods in efficiency, precision, aging risk and defect positioning by means of non-contact magnetic field detection + synchronous extraction of impedance characteristics, so that the performance of energy storage batteries can be rapidly, losslessly and accurately evaluated. The quantum sensor probe array detects the magnetic field change without physical contact with the battery, so that the accelerated aging caused by charging and discharging operation is avoided; the direct current bias is filtered by the blocking capacitor of the excitation signal, so that the battery aging risk is further reduced. The quantum sensor has high spatial resolution (1cm2 of the identified area), and the abnormal magnetic field signal of the single battery in the battery pack can be accurately identified and the defect position can be located by combining the probe array design. The quantum sensor has high sensitivity (based on the ODMR magnetic resonance principle), and the phase / amplitude can be accurately measured by combining the lock-in amplifier, so that the error is significantly reduced; the local oscillator signal is synchronized between the excitation circuit and the lock-in amplifier, so that the data acquisition reliability is ensured. The magnetic field data and the excitation response signal are collected in real time, the traditional 28-day static test is replaced, and the minute-level rapid detection is realized. The direct current / alternating current impedance characteristics are synchronously extracted by the high-frequency alternating excitation signal + lock-in amplifier, so that the ohmic resistance and the polarization resistance are covered, and the dynamic working condition is closer. The probe array structure can be customized according to the shape of the battery pack (such as 12 groups of full-field atomic magnetometers), and is suitable for different application scenarios. The threshold comparison mechanism (the MCU stores the magnetic field data of the battery without defects) improves the accuracy of defect determination. BRIEF DESCRIPTION OF DRAWINGS

[0034] Figure 1 is a structural diagram of the energy storage battery performance detection system of the embodiment one of the application;

[0035] Figure 2 is a principle diagram of the excitation signal conditioning and following circuit of the energy storage battery performance detection system of the embodiment one of the application;

[0036] Figure 3This is a flowchart of the energy storage battery performance testing method according to Embodiment 2 of the present invention. Detailed Implementation

[0037] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0038] The technical solution of the present invention will be further described below with reference to the accompanying drawings and specific embodiments:

[0039] Example 1

[0040] like Figure 1 As shown, the energy storage battery performance testing system of this invention includes: a battery pack under test 1, a quantum sensor probe array 2, an excitation signal conditioning and following circuit 3, a data acquisition unit 4, a lock-in amplifier 5, and an MCU unit 6.

[0041] Different solder joints in the battery pack under test 1 are led out through pins and connected to the excitation signal conditioning and following circuit 3 for inputting excitation signals.

[0042] The quantum sensor probe array 2 is arranged on the surface of the battery pack 1 under test and is used to detect changes in magnetic field strength. Preferably, the quantum sensor probe array 2 in this embodiment uses 12 sets of full-field atomic magnetometers with a volume of 10mm×10mm×30mm and a recognition area of ​​1cm². The structure of the probe array can be designed according to different shapes of the battery packs under test.

[0043] The quantum sensor probe array 2 is connected to the data acquisition unit 4 via a wiring harness. The data acquisition unit 4 is used to acquire the magnetic field strength data detected by the quantum sensor probe array 2. The data acquisition unit 4 inputs the acquired magnetic field strength data to the MCU unit 6 through a USB physical interface for data processing and analysis.

[0044] The excitation signal conditioning and following circuit 3 uses high-frequency alternating excitation signal to detect the internal DC and AC impedance of the measured battery pack 1. The high-frequency alternating excitation signal input to the excitation signal conditioning and following circuit 3 is a high-frequency signal of specific frequency and specific phase generated by the signal generator. The driving ability and isolation of the signal are ensured by the high-speed operational amplifier following circuit unit. The direct current bias is isolated by adding a direct-current isolation capacitor between the high-speed operational amplifier following circuit unit and the measured battery pack 1, so as to prevent the direct current bias from causing additional aging of the battery and reduce the risk of aging of the measured battery pack 1. The high-frequency alternating excitation signal is input to the measured battery pack 1, and the signal output by the measured battery pack 1 is output as a plurality of high-frequency detection signals AD1, AD2,..., AD n .

[0045] As shown in Figure 2 , the excitation signal conditioning and following circuit 3 comprises: a plurality of high-speed operational amplifier following circuit units A0, A1, A2,..., A n , a plurality of direct-current isolation capacitors C0, C1, C2,..., C n , and a plurality of resistors R0, R1, R2,..., R n , wherein the input end of the high-speed operational amplifier following circuit unit A0 is connected with the signal generator, and the high-frequency signal of specific frequency and specific phase generated by the signal generator is injected into the measured battery pack 1 through the direct-current isolation capacitor C0. The input ends of the remaining n high-speed operational amplifier following circuit units A1, A2,..., A n are connected with the measured battery pack 1 through the direct-current isolation capacitors C1, C2,..., C n , respectively, for receiving the plurality of high-frequency detection signals AD1, AD2,..., AD n output by the measured battery pack 1; the plurality of direct-current isolation capacitors C0, C1, C2,..., C n and the plurality of resistors R0, R1, R2,..., R n correspondingly constitute a plurality of high-pass filters for filtering out low-frequency signals.

[0046] The phase-locked amplifier 5 collects the plurality of high-frequency detection signals to obtain the phase and amplitude of different frequencies of the high-frequency detection signals, so as to calculate the internal impedance characteristics of the battery. The excitation signal conditioning and following circuit 3 and the phase-locked amplifier 5 are synchronized in working frequency through the local oscillator signal, so as to ensure the reliability and efficiency of data transmission.

[0047] The MCU unit 6 is used for data processing and analysis. The MCU unit 6 judges whether the measured battery pack 1 has defects according to the stored judgment threshold and the real-time collected magnetic field strength data.

[0048] The method for obtaining the judgment threshold is as follows:

[0049] The quantum sensor probe array 2 is used to detect the magnetic field intensity of a standard battery without defects, and the data acquisition unit 4 collects the magnetic field intensity data thereof. The magnetic field intensity data in the defect-free state and the impedance characteristic data of the defect-free battery are stored in the MCU unit 6 as a determination threshold.

[0050] Embodiment Two

[0051] As shown in the figure, the embodiment provides a detection method based on the energy storage battery performance detection system of Embodiment One, including the following steps: Figure 3

[0052] Step 1, system connection and initialization

[0053] Different welding points of the battery to be measured 1 are led out through the contact pin and connected to the input end of the excitation signal conditioning and following circuit 3;

[0054] The quantum sensor probe array 2 is arranged on the surface of the battery to be measured 1;

[0055] The quantum sensor probe array 2 is connected to the data acquisition unit 4 through the wire harness;

[0056] The data acquisition unit 4 is connected to the MCU unit 6 through the USB interface;

[0057] The output end (multi-channel high-frequency detection signal AD1, AD2,..., AD n ) of the excitation signal conditioning and following circuit 3 is connected to the input end of the lock-in amplifier 5; and the connection of the local oscillator signal between the excitation signal conditioning and following circuit 3 and the lock-in amplifier 5 is ensured to be normal, so as to realize the synchronization of the working frequency.

[0058] Step 2, injection of excitation signal

[0059] A high-frequency alternating excitation signal with a specific frequency and a specific phase is generated by a signal generator; and the signal is input to the excitation signal conditioning and following circuit 3;

[0060] The excitation signal conditioning and following circuit 3 conditions the signal (such as enhancing the driving ability and isolation through a high-speed operational amplifier following circuit), and filters out the direct current bias component through the direct current isolation capacitor;

[0061] The processed high-frequency alternating excitation signal is injected into the battery to be measured 1.

[0062] Step 3, synchronous acquisition of excitation response and magnetic field signal

[0063] Excitation response acquisition: the response signal of the battery to be measured 1 to the excitation signal is processed by the excitation signal conditioning and following circuit 3, and outputs multi-channel high-frequency detection signals (AD1, AD2,..., AD n ​) to the lock-in amplifier 5; the excitation signal conditioning and following circuit 3 and the lock-in amplifier 5 keep strict working frequency synchronization through the shared local oscillator signal, ensuring the accuracy and efficiency of subsequent signal processing.

[0064] Magnetic field signal acquisition: the quantum sensor probe array 2 detects the change of the magnetic field intensity on the surface of the measured battery pack 1 caused by the internal current (including the excitation response) in real time; the magnetic field intensity data detected by the quantum sensor is transmitted to the data acquisition unit 4.

[0065] Step 4, signal processing and feature extraction

[0066] Impedance feature extraction: the lock-in amplifier 5 receives multiple high-frequency detection signals (AD1, AD2,..., AD n ) and accurately measures the phase and amplitude information of each detection signal at a specific excitation frequency using its lock-in detection principle; based on these phase and amplitude data, the internal (DC and AC) impedance characteristics of the measured battery pack 1 are calculated.

[0067] Magnetic field data transmission: the data acquisition unit 4 transmits the real-time quantum sensor magnetic field intensity data collected to the MCU unit 6 through the USB interface.

[0068] Step 5, data processing and analysis

[0069] The MCU unit 6 receives and stores the battery impedance characteristic data from the lock-in amplifier 5; the MCU unit 6 receives and stores the real-time magnetic field intensity data from the data acquisition unit 4.

[0070] Step 6, defect judgment

[0071] The MCU unit 6 calls the stored judgment threshold value; and compares and analyzes the real-time magnetic field intensity data received in step 5 with the stored no-defect judgment threshold value.

[0072] The judgment threshold value is obtained and stored in advance by the following method:

[0073] Use the quantum sensor probe array 2 to detect a standard no-defect battery pack;

[0074] Collect the magnetic field intensity data of the no-defect battery pack by the data acquisition unit 4;

[0075] Store the magnetic field intensity data in the no-defect state and the impedance characteristic data of the no-defect battery pack in the MCU unit 6 as the judgment threshold value.

[0076] Example Three

[0077] An electronic device includes a memory for storing a program supporting a processor to execute a detection method in Embodiment Two, and the processor configured to execute the program stored in the memory.

[0078] Embodiment Four

[0079] A storage medium, on which a computer program is stored, the computer program, when executed by a processor, performs the steps of the detection method in Embodiment Two.

[0080] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacements for some technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A performance testing system for energy storage batteries, characterized in that, include: Quantum sensor probe array (2), excitation signal conditioning and following circuit (3), data acquisition unit (4), lock-in amplifier (5) and MCU unit (6); The quantum sensor probe array (2) is arranged on the surface of the battery pack (1) under test to detect changes in magnetic field strength; The excitation signal conditioning and following circuit (3) is connected to the battery pack under test (1) and is used to input a high-frequency alternating excitation signal to the battery pack under test (1); The data acquisition unit (4) is connected to the quantum sensor probe array (2) and is used to acquire the magnetic field strength data of the battery pack (1) under test; The lock-in amplifier (5) receives multiple high-frequency detection signals output by the excitation signal conditioning circuit (3), extracts phase and amplitude information, and calculates the impedance characteristics of the battery pack (1) under test. The MCU unit (6) is connected to the data acquisition unit (4) and the lock-in amplifier (5). It is used to store the magnetic field strength and impedance characteristic data of the defect-free battery pack as a judgment threshold, and to judge defects based on the real-time magnetic field strength data acquired by the data acquisition unit (4) and the impedance characteristic data calculated by the lock-in amplifier (5).

2. The energy storage battery performance testing system according to claim 1, characterized in that, The quantum sensor probe array (2) uses a full-field atomic magnetometer.

3. The energy storage battery performance testing system according to claim 1, characterized in that, The excitation signal conditioning and following circuit (3) enhances the signal driving capability through a high-speed operational amplifier following circuit and prevents battery aging caused by DC bias through a DC blocking capacitor.

4. The energy storage battery performance testing system according to claim 1, characterized in that, The excitation signal conditioning and following circuit (3) and the lock-in amplifier (5) achieve operating frequency synchronization by sharing the local oscillator signal.

5. The energy storage battery performance testing system according to claim 1, characterized in that, The quantum sensor probe array (2) is connected to the data acquisition unit (4) via a wire harness.

6. The energy storage battery performance testing system according to claim 1, characterized in that, The data acquisition unit (4) inputs the acquired magnetic field strength data into the MCU unit (6) through the USB physical interface.

7. A testing method based on the energy storage battery performance testing system according to any one of claims 1 to 6, characterized in that, include: Step 1: A high-frequency alternating excitation signal with a specific frequency and phase is generated by a signal generator and input into the excitation signal conditioning and following circuit (3). The excitation signal conditioning and following circuit (3) injects a high-frequency alternating excitation signal with a specific frequency and phase into the battery pack under test (1). Step 2: Collect the magnetic field strength data of the battery surface through the quantum sensor probe array (2), and transmit the real-time collected quantum sensor magnetic field strength data to the MCU unit (6) through the data acquisition unit (4). Step 3: The response signal of the battery pack under test (1) to the excitation signal is processed by the excitation signal conditioning and following circuit (3) and outputs multiple high-frequency detection signals to the lock-in amplifier (5). Step 4: Extract the phase and amplitude of multiple high-frequency detection signals using a lock-in amplifier (5) and calculate the battery impedance characteristics; Step 5: Compare the magnetic field strength data collected by the data acquisition unit (4) and the battery impedance characteristics calculated by the lock-in amplifier (5) with the judgment thresholds pre-stored in the MCU unit (6). If the deviation exceeds the limit, the single cell is judged to be defective.

8. The detection method according to claim 7, characterized in that, The method for obtaining the determination threshold is as follows: a quantum sensor probe array (2) is used to detect the magnetic field strength of a standard defect-free battery pack, and the data acquisition unit (4) collects its magnetic field strength data. The magnetic field strength data and impedance characteristic data in this defect-free state are stored in the MCU unit (6) as the determination threshold.

9. An electronic device, comprising a memory and a processor, characterized in that, The memory is used to store a program that supports the processor in executing the detection method according to any one of claims 7 to 8, the processor being configured to execute the program stored in the memory.

10. A storage medium storing a computer program, characterized in that, The computer program is executed by the processor to perform the steps of the detection method according to any one of claims 7 to 8.

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