Energy storage cabinet system based on self-adaptive ultrasonic detection technology

Abstract

The invention discloses an energy storage cabinet system based on a self-adaptive ultrasonic detection technology, and belongs to the field of energy storage, and the system comprises an ultrasonic module which is used for carrying out the ultrasonic detection of energy storage equipment, and obtaining acoustic features; the BMS module is used for acquiring the voltage of the battery monitored in real time and the acoustic characteristics transmitted by the ultrasonic module, constructing SOH and SOC characteristic curves, and formulating a charging and discharging strategy based on the SOH and SOC characteristic curves; the energy management module is used for performing optimization management on energy based on the charging and discharging strategy; and the cloud platform is used for providing the health state, the charging and discharging strategy and the alarm information of the battery for a user. By monitoring the changes in real time, the ultrasonic frequency is automatically adjusted, and parameters such as the SOH of the battery can be more accurately detected.

Description

Technical Field

[0001] The present invention belongs to the field of energy storage, and in particular relates to an energy storage cabinet system based on adaptive ultrasonic detection technology. Background Art

[0002] With the adjustment of energy structure and the transformation of new energy industry, energy storage devices are an important part of the development of new energy, and their detection technology is particularly important. Traditional energy storage device detection methods have problems such as low efficiency and large errors. Ultrasonic detection, as a non-destructive detection method, has the advantages of high sensitivity, low cost, easy use, and fast speed. By designing different ultrasonic detection equipment in multiple scenarios, the preparation process, use process control, and failure analysis of energy storage devices can be completed. Ultrasonic imaging models are constructed through energy storage devices in different charging and discharging states and fed back to the battery management system.

[0003] However, in different environments, factors such as temperature will affect the ultrasonic frequency, and the inability to achieve self-adaptation will lead to low measurement efficiency. This technology requires a certain amount of time to collect and process data, which becomes a limiting factor for situations such as energy storage cabinets that require real-time monitoring. The energy storage system cloud platform has a strong role in the real-time transmission and processing of ultrasonic detection data, but this technology does not combine it well. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an energy storage cabinet system based on adaptive ultrasonic detection technology, comprising:

[0005] Ultrasonic module, used to perform ultrasonic detection on energy storage devices to obtain acoustic characteristics;

[0006] The BMS module is used to obtain the real-time monitoring battery voltage and the acoustic characteristics transmitted by the ultrasonic module, construct the SOH and SOC characteristic curves, and formulate the charging and discharging strategy based on the SOH and SOC characteristic curves;

[0007] An energy management module, used for optimizing the management of energy based on the charging and discharging strategy;

[0008] Cloud platform for providing users with battery health status, charging and discharging strategies, and alarm information.

[0009] Preferably, the ultrasonic module comprises:

[0010] A control device for generating and controlling the emission of ultrasonic waves to ensure the stability and consistency of ultrasonic signals;

[0011] a generator for generating an ultrasonic signal of a specific frequency and amplitude based on a command of the control device;

[0012] Probe, used to transmit ultrasonic waves and receive reflected signals;

[0013] An amplifier, used to enhance the weak ultrasonic signal received by the probe;

[0014] an evaluation module for analyzing the amplified signal;

[0015] Output modules are used to convert analog signals into digital signals.

[0016] Preferably, the acoustic characteristics include: maximum amplitude, number of wave peaks, first wave, first wave amplitude, tail wave, tail wave amplitude and total energy of sound waves.

[0017] Preferably, the ultrasonic module communicates with the BMS module via an RS485 communication protocol.

[0018] Preferably, the BMS module is also used to monitor whether the battery has leakage.

[0019] Preferably, the BMS module is further used to: obtain a current ambient temperature parameter, and adjust the frequency of the ultrasonic wave emitted by the ultrasonic module based on the ambient temperature parameter.

[0020] Preferably, the BMS module is further used to: compare the SOH and SOC characteristic curves corresponding to different acoustic features to obtain the health status of the battery;

[0021] If the SOH curve shows an overall downward trend and the decline rate is fast, it is considered that the battery health status has deteriorated significantly;

[0022] If the SOC curve shows abnormal fluctuations, it is believed that there is a local short circuit or electrode material falling off inside the battery.

[0023] Compared with the prior art, the present invention has the following advantages and technical effects:

[0024] 1) Ultrasonic testing is a non-destructive testing technology, which means that no physical damage is caused to the battery during the testing process. This is particularly important for applications where the integrity of the battery needs to be maintained, such as lithium-ion batteries in electric vehicles and energy storage systems.

[0025] 2) Compared with traditional contact sensors, ultrasonic detection technology is non-contact and does not require the use of coupling agents, reducing the errors and complexity of human operations.

[0026] 3) Ultrasonic waves have seven main acoustic features: maximum amplitude, number of wave peaks, first wave ToF, first wave amplitude, tail wave ToF, tail wave amplitude and total sound wave energy. Using a multi-feature approach can improve the accuracy of identifying the degree of battery leakage.

[0027] 4) A system that dynamically adjusts the ultrasonic frequency based on factors such as battery status and environmental conditions by cooperating with the BMS. Different battery aging, internal structure changes, and operating temperatures may affect the optimal ultrasonic detection frequency. By monitoring these changes in real time and automatically adjusting the ultrasonic frequency, battery SOH and other parameters can be detected more accurately.

[0028] 5) Ultrasonic time-of-flight (TOF) measurement is sensitive to temperature changes and is of great significance for temperature-dependent fields such as electric vehicles and renewable energy storage, which can better manage the operating conditions of batteries. Ultrasonic detection technology can monitor the battery status in real time, so it is particularly suitable for application scenarios that require fast response such as energy storage cabinets. BMS uses mechanical model algorithms based on ultrasonic TOF, voltage and other parameters to establish a SOH-SOC model to estimate the battery life and health status, and feedback to EMS to make corresponding energy optimization strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0030] Figure 1 It is a system device assembly diagram of an embodiment of the present invention;

[0031] Figure 2 This is a schematic diagram of the operation of an ultrasonic module according to an embodiment of the present invention;

[0032] Figure 3 This is a schematic diagram of the working of a BMS module according to an embodiment of the present invention;

[0033] Figure 4 Another schematic diagram of the BMS module working according to an embodiment of the present invention;

[0034] Figure 5 A schematic diagram of setting the operating frequency of a BMS module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0035] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0036] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0037] Embodiment 1

[0038] This embodiment provides an energy storage cabinet system based on adaptive ultrasonic detection technology, including:

[0039] Ultrasonic module, used to perform ultrasonic detection on energy storage devices to obtain acoustic characteristics;

[0040] The BMS module is used to obtain the real-time monitoring battery voltage and the acoustic characteristics transmitted by the ultrasonic module, construct the SOH and SOC characteristic curves, and formulate the charging and discharging strategy based on the SOH and SOC characteristic curves;

[0041] An energy management module, used for optimizing the management of energy based on the charging and discharging strategy;

[0042] Cloud platform for providing users with battery health status, charging and discharging strategies, and alarm information.

[0043] Further optimizing the solution, the ultrasonic module includes:

[0044] A control device for generating and controlling the emission of ultrasonic waves to ensure the stability and consistency of ultrasonic signals;

[0045] a generator for generating an ultrasonic signal of a specific frequency and amplitude based on a command of the control device;

[0046] Probe, used to transmit ultrasonic waves and receive reflected signals;

[0047] An amplifier, used to enhance the weak ultrasonic signal received by the probe;

[0048] an evaluation module for analyzing the amplified signal;

[0049] Output modules are used to convert analog signals into digital signals.

[0050] According to a further optimization scheme, the acoustic characteristics include: maximum amplitude, number of wave peaks, first wave, first wave amplitude, tail wave, tail wave amplitude and total energy of sound waves.

[0051] According to a further optimization scheme, the ultrasonic module communicates with the BMS module via an RS485 communication protocol.

[0052] According to a further optimization scheme, the BMS module is also used to monitor whether the battery has leakage.

[0053] According to a further optimization scheme, the BMS module is further used to obtain current ambient temperature parameters, and adjust the frequency of the ultrasonic wave emitted by the ultrasonic module based on the ambient temperature parameters.

[0054] To further optimize the solution, the BMS module is also used to: compare the SOH and SOC characteristic curves corresponding to different acoustic features to obtain the health status of the battery;

[0055] If the SOH curve shows an overall downward trend and the decline rate is fast, it is considered that the battery health status has deteriorated significantly;

[0056] If the SOC curve shows abnormal fluctuations, it is believed that there is a local short circuit or electrode material falling off inside the battery.

[0057] Embodiment 2

[0058] like Figure 1 As shown, this embodiment provides an energy storage cabinet system based on adaptive ultrasonic detection technology, including:

[0059] Ultrasonic module, used to perform ultrasonic detection on energy storage devices to obtain acoustic characteristics;

[0060] The BMS module is used to obtain the real-time monitoring battery voltage and the acoustic characteristics transmitted by the ultrasonic module, construct the SOH and SOC characteristic curves, and formulate the charging and discharging strategy based on the SOH and SOC characteristic curves;

[0061] An energy management module, used for optimizing the management of energy based on the charging and discharging strategy;

[0062] Cloud platform for providing users with battery health status, charging and discharging strategies, and alarm information.

[0063] The PCS module is used to process the operating status, load demand, power output, and energy management of power equipment, and work in conjunction with other power control devices (such as inverters, battery management systems, sensors, etc.). The PCS module is a power control system module, which is a module used to implement power control, regulation, and management in the power system. It is mainly used to process the operating status, load demand, power output, and energy management of power equipment. The PCS module usually works in conjunction with other power control devices (such as inverters, battery management systems, sensors, etc.) to achieve efficient energy utilization, optimize system stability, and reduce energy waste. If so, it needs to be supplemented in the embodiment.

[0064] 1. BMS module acquisition parameters: The BMS module of this embodiment builds SOH (State of Health) and SOC (State of Charge) characteristic curves by real-time monitoring the battery voltage and the seven main acoustic characteristics transmitted by the ultrasonic module, namely, the maximum amplitude, number of wave peaks, first wave ToF, first wave amplitude, tail wave ToF, tail wave amplitude and total energy of sound waves. Using these curves, the BMS module evaluates the health status of the battery, including key indicators such as battery capacity attenuation and internal resistance change. In addition, the BMS module also monitors whether the battery has leakage to ensure safe operation of the battery;

[0065] If the SOH curve shows an overall downward trend and the rate of decline is fast, it means that the battery health status has deteriorated significantly, and there may be internal faults or aging problems. Under normal circumstances, the SOC curve should show a relatively stable change trend during the charging and discharging process. If the SOC curve shows abnormal fluctuations, such as a sudden rise or fall, it may mean that there are problems such as local short circuits and electrode material shedding inside the battery, which affect the battery's charging and discharging performance and the stability of the state of charge. By comparing the SOH and SOC characteristic curves corresponding to different acoustic features, a more comprehensive understanding of the battery's health status can be obtained. For example, the SOH curve corresponding to the highest amplitude drops rapidly, while the SOH curve corresponding to the number of peaks is relatively stable, which may indicate that some local structures or materials of the battery have been damaged in a specific way, affecting the amplitude propagation of the sound signal, but having little effect on the number of peaks. Set a reasonable threshold range on the SOH and SOC characteristic curves. When the SOH or SOC value exceeds the normal range, a warning signal is issued in time to indicate that the battery may have health risks.

[0066] 2. The Energy Management System (EMS) adjusts the battery charging and discharging strategy in real time based on the data provided by the BMS module. By optimizing the charging and discharging process, the EMS improves the battery efficiency and extends the battery life.

[0067] 3. This embodiment delivers real-time information and data analysis of the battery to users through the cloud platform. Users can remotely access the battery's health status, charge and discharge strategy, and any alarm information to achieve remote monitoring and management.

[0068] 4. The BMS module is also responsible for obtaining the temperature parameters of the current environment in order to determine whether the frequency of ultrasonic detection needs to be adjusted.

[0069] 5. Based on the acquired ambient temperature parameters, the BMS module determines whether the current ultrasonic frequency is the optimal detection frequency. If the frequency is not optimal, the system will readjust the ultrasonic frequency through RS485 communication to ensure the accuracy of the detection;

[0070] 6. Through the RS485 communication interface, the BMS module can remotely adjust the working frequency of the ultrasonic module. This process ensures that ultrasonic detection can achieve optimal performance under different temperature conditions, improves the accuracy and reliability of detection, simulates different humidity and air pressure environments, and conducts a large number of tests on different energy storage system materials to obtain multiple sets of data. By changing the transmission frequency, measuring the intensity, waveform, propagation time and other parameters of the received signal, the propagation effect and energy loss of ultrasound at different frequencies are analyzed. Find the frequency point that makes the ultrasonic propagation efficiency the highest and the energy loss the lowest under various combinations of conditions, which is the optimal frequency. The BMS pre-stores a relationship model between humidity, air pressure, material and the optimal frequency of ultrasound based on theoretical analysis and experimental testing. BMS substitutes the environmental parameters and material characteristics monitored in real time into the relationship model to calculate the optimal frequency of ultrasound under current conditions.

[0071] like Figure 2 As shown, the ultrasonic module includes:

[0072] 1. The control device is responsible for generating and controlling the emission of ultrasonic waves. It ensures the stability and consistency of ultrasonic signals through precise timing control.

[0073] 2. The generator is a key component for generating ultrasonic signals. It generates ultrasonic signals of specific frequency and amplitude according to the instructions of the control device.

[0074] 3. The probe is responsible for emitting ultrasonic waves and receiving the reflected signals. It is in direct contact with the object to be detected to ensure the effective transmission of ultrasonic waves.

[0075] 4. The amplifier is used to enhance the weak ultrasonic signal received by the probe for subsequent signal processing.

[0076] 5. The evaluation module is responsible for analyzing the amplified signal and extracting key parameters, such as the number of peaks, waveform characteristics, etc.

[0077] 6. The output module converts the analog signal into a digital signal for BMS processing;

[0078] like Figure 3-5 As shown, the BMS module and ultrasonic module communicate via RS485;

[0079] 1. The ultrasonic analysis module is responsible for capturing and analyzing ultrasonic signals and extracting key parameters such as the number of peaks and the peak value of the first wave. These parameters are accurately and reliably transmitted to the BMS through the RS485 communication protocol. RS485 has strong anti-interference ability and long transmission distance, and is suitable for battery management systems in industrial environments.

[0080] 2. After receiving the parameters from the ultrasonic analysis module, the BMS uses these data to establish the SOH (State of Health) and SOC (State of Charge) characteristic curves. Based on the SOH-SOC characteristic curve, the BMS evaluates the health of the battery and formulates the charging and discharging strategy accordingly.

[0081] 3. The energy management system (EMS) achieves optimal energy management based on the charging and discharging strategies provided by the BMS.

[0082] Ultrasonic frequency adaptation;

[0083] 1.BMS uses the spectrum of the ultrasonic signal to first determine the main frequency components in the signal and determine the optimal operating frequency.

[0084] 2. The BMS monitors the ambient temperature around the battery in real time through a built-in temperature sensor to adjust the ultrasonic operating frequency accordingly.

[0085] 3. When the ambient temperature changes are detected, the BMS adjusts the oscillation frequency of the ultrasonic generator in real time through RS485 communication to compensate for the impact of temperature changes.

[0086] This embodiment has the following advantages and technical effects:

[0087] 1) Ultrasonic testing is a non-destructive testing technology, which means that no physical damage is caused to the battery during the testing process. This is particularly important for applications where the integrity of the battery needs to be maintained, such as lithium-ion batteries in electric vehicles and energy storage systems.

[0088] 2) Compared with traditional contact sensors, ultrasonic detection technology is non-contact and does not require the use of coupling agents, reducing the errors and complexity of human operations.

[0089] 3) Ultrasonic waves have seven main acoustic features: maximum amplitude, number of wave peaks, first wave ToF, first wave amplitude, tail wave ToF, tail wave amplitude and total sound wave energy. Using a multi-feature approach can improve the accuracy of identifying the degree of battery leakage.

[0090] 4) A system that dynamically adjusts the ultrasonic frequency based on factors such as battery status and environmental conditions by cooperating with the BMS. Different battery aging, internal structure changes, and operating temperatures may affect the optimal ultrasonic detection frequency. By monitoring these changes in real time and automatically adjusting the ultrasonic frequency, battery SOH and other parameters can be detected more accurately.

[0091] 5) Ultrasonic time-of-flight (TOF) measurement is sensitive to temperature changes and is of great significance for temperature-dependent fields such as electric vehicles and renewable energy storage, which can better manage the operating conditions of batteries. Ultrasonic detection technology can monitor the battery status in real time, so it is particularly suitable for application scenarios that require fast response such as energy storage cabinets. BMS uses mechanical model algorithms based on ultrasonic TOF, voltage and other parameters to establish a SOH-SOC model to estimate the battery life and health status, and feedback to EMS to make corresponding energy optimization strategies.

[0092] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An energy storage cabinet system based on adaptive ultrasonic detection technology, characterized in that: include: Ultrasonic module, used to perform ultrasonic detection on energy storage devices to obtain acoustic characteristics; The BMS module is used to obtain the real-time monitoring battery voltage and the acoustic characteristics transmitted by the ultrasonic module, construct the SOH and SOC characteristic curves, and formulate the charging and discharging strategy based on the SOH and SOC characteristic curves; An energy management module, used for optimizing the management of energy based on the charging and discharging strategy; Cloud platform for providing users with battery health status, charging and discharging strategies, and alarm information.

2. The system according to claim 1, characterized in that The ultrasonic module comprises: A control device for generating and controlling the emission of ultrasonic waves to ensure the stability and consistency of ultrasonic signals; a generator for generating an ultrasonic signal of a specific frequency and amplitude based on a command of the control device; Probe, used to transmit ultrasonic waves and receive reflected signals; An amplifier, used to enhance the weak ultrasonic signal received by the probe; an evaluation module for analyzing the amplified signal; Output modules are used to convert analog signals into digital signals.

3. The system according to claim 1, characterized in that The acoustic characteristics include: maximum amplitude, number of wave peaks, first wave, first wave amplitude, tail wave, tail wave amplitude and total energy of sound waves.

4. The system according to claim 1, characterized in that The ultrasonic module communicates with the BMS module via the RS485 communication protocol.

5. The system according to claim 1, characterized in that The BMS module is also used to monitor whether the battery is leaking.

6. The system according to claim 1, characterized in that The BMS module is also used to obtain a current ambient temperature parameter, and adjust the frequency of the ultrasonic wave emitted by the ultrasonic module based on the ambient temperature parameter.

7. The system according to claim 1, characterized in that The BMS module is also used to: compare the SOH and SOC characteristic curves corresponding to different acoustic features to obtain the health status of the battery; If the SOH curve shows an overall downward trend and the decline rate is fast, it is considered that the battery health status has deteriorated significantly; If the SOC curve shows abnormal fluctuations, it is believed that there is a local short circuit or electrode material falling off inside the battery.

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