A seismic station energy storage system based on retired vehicle power batteries

Abstract

The present invention relates to the field of energy storage technology, and specifically to a seismic station energy storage system based on retired vehicle-mounted power batteries, including a retired battery module, an energy management module, an energy conversion module, an electric energy storage module, a fault warning module and a user interface module; wherein: the retired battery module: is used to collect multiple retired vehicle-mounted power batteries, and integrate them in a series-parallel combination; the energy management module: is used to monitor the retired battery module in real time; the energy conversion module: is used to convert direct current into alternating current; the electric energy storage module: is used to store excess electric energy; the fault warning module: is used to analyze potential fault risks; the user interface module: is used to display the status information of each module. The present invention, through efficient integration of batteries, real-time monitoring of status and intelligent energy management, not only improves the stability and safety of the power supply, but also effectively extends the service life of the battery, and realizes the maximum utilization of resources.

Description

Technical Field

[0001] The present invention relates to the field of energy storage technology, and in particular to an energy storage system for a seismic station based on retired vehicle-mounted power batteries. Background Art

[0002] With the promotion of renewable energy, the recycling and reuse of retired vehicle power batteries has become an important research field. Although the performance of these batteries may decline after years of use, they still have a certain energy storage capacity. At present, many seismic stations are facing the problem of unstable power supply, especially during peak power demand or system failures. Stable power supply is crucial. Therefore, using retired vehicle power batteries to build an energy storage system can not only help the effective use of resources, but also provide reliable power support for seismic stations.

[0003] However, the existing energy storage system has many technical problems in practical application. First, how to efficiently integrate multiple retired batteries to improve energy storage capacity and voltage stability is a problem that needs to be solved urgently. Second, the existing system is insufficient in real-time monitoring of battery status, energy management and fault warning, and it is difficult to meet the requirements of high safety and high reliability. Therefore, the development of a seismic station energy storage system based on retired vehicle power batteries can not only effectively improve the stability of the power supply, but also solve the technical bottleneck of battery management and fault monitoring, which is of great practical significance. Summary of the invention

[0004] Based on the above objectives, the present invention provides a seismic station energy storage system based on retired vehicle-mounted power batteries.

[0005] A seismic station energy storage system based on retired vehicle-mounted power batteries includes a retired battery module, an energy management module, an energy conversion module, an electric energy storage module, a fault warning module and a user interface module; wherein:

[0006] Retired battery module: used to collect multiple retired vehicle power batteries and integrate them in series-parallel combination;

[0007] Energy management module: used to monitor the retired battery module in real time, obtain the battery voltage, current and temperature status information, and feed the monitoring data back to the energy conversion module;

[0008] Energy conversion module: used to convert the DC power provided by the retired battery module into the AC power required by the seismic station;

[0009] Power storage module: used to store excess power during battery charging for use during peak power demand periods or when the battery status is abnormal, thereby enhancing the power redundancy capability of the seismic station;

[0010] Fault warning module: used to collect status data of each module in real time, including information of retired battery modules and energy management modules, analyze potential fault risks, and generate warning signals to feed back to the user interface module;

[0011] User interface module: used to provide an operation interface and display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning, allowing operators to monitor and adjust configurations.

[0012] Optionally, the retired battery module includes a battery collection unit, a battery identification unit and a series-parallel control unit; wherein:

[0013] Battery collection unit: used to collect multiple retired vehicle power batteries;

[0014] Battery identification unit: used to identify the collected battery models and their health status, and use the measurement data of voltage, current and internal impedance to evaluate the remaining service life and safety of each battery;

[0015] Series-parallel control unit: automatically selects series-parallel combination mode according to the voltage and capacity characteristics of the battery to integrate the collected batteries.

[0016] Optionally, the battery identification unit specifically includes:

[0017] Voltage measurement: Use a high-precision voltage sensor to monitor the terminal voltage of each battery in real time and record the open circuit voltage of the battery And the operating voltage under load conditions ;

[0018] Current measurement: The current sensor measures the battery's charge and discharge current in real time, and records the positive current during charging and the negative current during discharging;

[0019] Internal impedance measurement: Measuring the internal impedance of the battery using AC impedance spectroscopy ;

[0020] Remaining service life assessment: Estimates the remaining service life of the battery based on measured voltage, current and internal impedance data , the specific calculation formula is:

[0021] ,in, is the rated capacity of the battery, is the current available capacity, is the maximum voltage of the battery, is the empirical coefficient;

[0022] Safety assessment: Use voltage, internal impedance and temperature data to determine whether the battery has overcharge, over discharge or short circuit risks. or Then, it is marked as unsafe, where The minimum voltage threshold for safe battery operation. is the safety threshold of internal impedance.

[0023] Optionally, the series-parallel control unit specifically includes:

[0024] Battery characteristic data collection: collects the voltage, rated capacity and current available capacity data of each battery;

[0025] Battery pack demand analysis: Set the target output voltage based on the power requirements of the seismic station and target capacity ;

[0026] Select combination: When the target output voltage Greater than the open circuit voltage of a single battery When the target capacity is the sum of When the capacity is greater than the rated capacity of a single battery, select a parallel combination.

[0027] Optionally, the energy management module includes a voltage monitoring unit, a current monitoring unit, a temperature monitoring unit and a data fusion unit; wherein:

[0028] Voltage monitoring unit: measures the open circuit voltage and operating voltage of the retired battery module in real time through the voltage sensor;

[0029] Current monitoring unit: measures the battery charging and discharging current through a current sensor;

[0030] Temperature monitoring unit: uses temperature sensors to monitor the temperature of retired battery modules in real time;

[0031] Data fusion unit: used to integrate data from the voltage monitoring unit, current monitoring unit and temperature monitoring unit, and generate comprehensive battery status information through data fusion.

[0032] Optionally, the energy conversion module includes a rectifying unit, an inverting unit, a filtering unit and a voltage regulating unit; wherein:

[0033] Rectification unit: used to convert the DC power provided by the retired battery module into a preliminary AC power signal, specifically by rectifying the DC power supply through a rectifier to eliminate the negative half-cycle current;

[0034] Inverter unit: used to convert the preliminary AC signal output by the rectifier unit into stable AC with the required frequency and voltage;

[0035] Filter unit: used to smooth the AC signal output by the inverter unit, remove high-frequency noise and harmonic components through the LC filter, and provide a more stable AC signal;

[0036] Voltage regulation unit: used to monitor the output AC voltage in real time and automatically adjust the working state of the inverter unit to ensure that the output voltage is always maintained within the set range.

[0037] Optionally, the electric energy storage module includes a charging management unit, an electric energy storage unit, an energy release unit and a state monitoring unit; wherein:

[0038] Charging management unit: used to monitor the charging status of the battery and adjust the charging current according to the charging requirements of the battery;

[0039] Power storage unit: including energy storage equipment for storing excess power. Under the control of the charging management unit, when the charging current of the battery module exceeds the set threshold, the power storage unit will automatically receive and store the excess power for subsequent use;

[0040] Energy release unit: When the power demand exceeds the set value or the battery status is detected to be abnormal, the energy release unit will automatically start and convert the stored electric energy into AC power through the inverter to supply power to the required equipment;

[0041] Status monitoring unit: used to monitor the working status of the energy storage unit in real time, including the energy storage capacity, charging status and release status of the energy storage unit, and feed back the working status data to the charging management unit to adjust the charging and release strategies in time.

[0042] Optionally, the fault warning module includes a data acquisition unit, a fault analysis unit and a warning generation unit; wherein:

[0043] Data acquisition unit: used to collect the status data of each module in real time, including the voltage, current, and temperature information of the retired battery module, as well as the charging status and current monitoring data of the energy management module;

[0044] Fault analysis unit: Using the set thresholds and fault discrimination algorithms, combined with historical data and real-time monitoring data, multi-dimensional data analysis is performed to identify potential fault risks, including the voltage of the battery module exceeding the set upper limit, falling below the lower limit, or the temperature exceeding the safe range;

[0045] Warning generation unit: Receives analysis results to generate corresponding warning signals, forms specific warning information according to different fault types, and then sends the warning signals to the user interface module through the set communication interface.

[0046] Optionally, the fault analysis unit specifically includes:

[0047] Data collection: collect voltage, current and temperature data of retired battery modules in real time, and store the collected data in a data storage device to form a historical data set and a real-time monitoring data set;

[0048] Setting thresholds: Setting safety thresholds for voltage and temperature based on the characteristics and manufacturing standards of the battery, wherein the thresholds include an upper limit and a lower limit for voltage, and an upper limit for temperature;

[0049] Fault identification algorithm: Through the fault identification algorithm, the real-time monitoring data is evaluated to determine whether the battery voltage exceeds the upper limit or is lower than the lower limit, or whether the temperature exceeds the safety upper limit. Based on the judgment, the corresponding status mark is given to indicate the current safety status of the battery;

[0050] Multi-dimensional data analysis: Combine historical data with real-time monitoring data to implement multi-dimensional data analysis. By comparing the historical change trends of battery voltage and temperature, the abnormality of current data is evaluated to identify potential failure risks.

[0051] Abnormal identification: Based on the above analysis results, an abnormal identification indicator is set. If the indicator shows that the battery has a potential failure risk, the corresponding warning is triggered.

[0052] Optionally, the user interface module includes a status display unit, a monitoring unit and a configuration adjustment unit; wherein:

[0053] Status display unit: used to display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning. The battery power is displayed in percentage, the energy conversion status is displayed by indicator lights or icons to show the current energy conversion situation, the storage capacity is displayed as a ratio of available capacity to total capacity, and the fault warning is presented with warning symbols to ensure that operators can quickly identify potential risks;

[0054] Monitoring unit: including a visual interface that allows operators to view real-time data of each module, and the interface supports the display of charts and data curves;

[0055] Configuration adjustment unit: provides operators with configuration adjustment functions, including setting battery charging and discharging strategies, adjusting energy conversion parameters, and setting fault warning thresholds. Operators can enter specific values ​​or select preset options through the interface.

[0056] Beneficial effects of the present invention:

[0057] The present invention significantly improves the energy storage capacity and voltage stability through a series-parallel combination. This innovative design not only makes full use of the residual value of retired batteries, but also ensures the reliability and stability of the seismic station during peak periods of power demand, thereby improving the overall performance of the system.

[0058] The present invention can timely identify potential risks and perform automatic adjustments by real-time monitoring of battery status, implementing intelligent energy management and fault warning, thereby ensuring the safety of power supply. This efficient management mode greatly reduces the risk of human operational errors and improves the operational safety and reliability of seismic stations. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0060] Figure 1 A schematic diagram of an energy storage system for a seismic station according to an embodiment of the present invention;

[0061] Figure 2 Schematic diagram of a fault warning module according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. At the same time, it is explained here that in order to make the embodiments more detailed, the following embodiments are the best and preferred embodiments, and those skilled in the art may also adopt other alternatives to implement some known technologies; and the accompanying drawings are only for more specific description of the embodiments, and are not intended to specifically limit the present invention.

[0063] It should be noted that the references to "one embodiment", "embodiment", "exemplary embodiments", "some embodiments" and the like in the specification indicate that the embodiments described may include specific features, structures or characteristics, but not every embodiment may include the specific features, structures or characteristics. In addition, when a specific feature, structure or characteristic is described in conjunction with an embodiment, it should be within the knowledge of a person skilled in the art to implement such feature, structure or characteristic in conjunction with other embodiments (whether or not explicitly described).

[0064] In general, a term can be understood, at least in part, from its use in context. For example, depending, at least in part, on the context, the term "one or more" as used herein can be used to describe any feature, structure, or characteristic in the singular sense, or can be used to describe a combination of features, structures, or characteristics in the plural sense. Additionally, the term "based on" can be understood as not necessarily intended to convey an exclusive set of factors, but can instead, depending, at least in part, on the context, allow for the presence of other factors that are not necessarily explicitly described.

[0065] like Figure 1-Figure 2 As shown, a seismic station energy storage system based on retired vehicle-mounted power batteries includes a retired battery module, an energy management module, an energy conversion module, an electric energy storage module, a fault warning module and a user interface module; wherein:

[0066] Retired battery module: used to collect multiple retired vehicle power batteries and integrate them in series-parallel combination to improve energy storage capacity and voltage stability to meet the power supply needs of seismic stations;

[0067] Energy management module: used to monitor the retired battery module in real time, obtain the battery voltage, current, and temperature status information, and feed the monitoring data back to the energy conversion module to achieve dynamic adjustment and optimize the battery life;

[0068] Energy conversion module: used to convert the DC power provided by the retired battery module into the AC power required by the seismic station to ensure the stability of the output voltage and frequency;

[0069] Power storage module: used to store excess power during battery charging for use during peak power demand periods or when the battery status is abnormal, thereby enhancing the power redundancy capability of the seismic station;

[0070] Fault warning module: used to collect status data of each module in real time, including information of retired battery modules and energy management modules, analyze potential fault risks, and generate warning signals to feed back to the user interface module to ensure system safety;

[0071] User interface module: used to provide an operation interface and display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning, allowing operators to monitor and adjust configurations.

[0072] The retired battery module includes a battery collection unit, a battery identification unit and a series-parallel control unit; wherein:

[0073] Battery collection unit: used to collect multiple retired vehicle power batteries, using standardized interfaces to facilitate the rapid connection and replacement of batteries of different models, ensuring the adaptability and maintainability of the batteries;

[0074] Battery identification unit: used to identify the collected battery models and their health status, and use the measurement data of voltage, current and internal impedance to evaluate the remaining service life and safety of each battery to ensure that the appropriate battery is selected for integration;

[0075] Series-parallel control unit: According to the voltage and capacity characteristics of the battery, the series-parallel combination method is automatically selected to integrate the collected batteries. This unit uses control logic to realize parallel combination of batteries to increase the total capacity, and series combination to increase voltage output, ensuring that the integrated battery pack can meet the power requirements of the seismic station; through the above-mentioned unit design, efficient collection, intelligent identification and optimized combination of retired batteries are achieved, ensuring that the batteries operate in a safe and efficient state, thereby improving the stability and sustainability of the power supply of the seismic station.

[0076] The battery identification unit specifically includes:

[0077] Voltage measurement: Use a high-precision voltage sensor to monitor the terminal voltage of each battery in real time and record the open circuit voltage of the battery And the operating voltage under load conditions ;

[0078] Current measurement: Real-time measurement of battery charge and discharge current through current sensor , and record the positive current during charging and the negative current during discharging for subsequent analysis;

[0079] Internal impedance measurement: Measuring the internal impedance of the battery using AC impedance spectroscopy , by applying a small amplitude AC signal, recording the response voltage and current, and then calculating: ,in and are the voltage and current under AC signal respectively;

[0080] Remaining service life assessment: Estimates the remaining service life of the battery based on measured voltage, current and internal impedance data , the specific calculation formula is:

[0081] ,in, is the rated capacity of the battery, is the current available capacity, is the maximum voltage of the battery, is the empirical coefficient;

[0082] Safety assessment: Use voltage, internal impedance and temperature data to determine whether the battery has overcharge, over discharge or short circuit risks. or Then, it is marked as unsafe, where The minimum voltage threshold for safe battery operation. is the safety threshold of the internal impedance; the battery identification unit can not only accurately evaluate the remaining service life of the battery, but also identify potential safety risks in a timely manner, thereby ensuring the safety and stability of the seismic station energy storage system, by comprehensively using the real-time measurement of voltage, current and internal impedance.

[0083] The series-parallel control unit specifically includes:

[0084] Battery characteristic data collection: collect the voltage, rated capacity and current available capacity data of each battery, which will be used for subsequent combination decisions;

[0085] Battery pack demand analysis: Set the target output voltage based on the power requirements of the seismic station and target capacity ,For example, if a higher power demand needs to be met, the target capacity is set to a larger value;

[0086] Select combination: When the target output voltage Greater than the open circuit voltage of a single battery When the target capacity is the sum of When it is greater than the rated capacity of a single battery, a parallel combination is selected; the above-mentioned series-parallel control unit can automatically adjust the series-parallel mode of the batteries in real time through intelligent battery characteristic analysis and combination decision-making, and integrate retired batteries in the best way, thereby ensuring that the power supply system of the seismic station is both stable and efficient and meets the actual power supply needs.

[0087] The energy management module includes a voltage monitoring unit, a current monitoring unit, a temperature monitoring unit and a data fusion unit; wherein:

[0088] Voltage monitoring unit: measures the open circuit voltage and operating voltage of the retired battery module in real time through the voltage sensor;

[0089] Current monitoring unit: measures the battery charging and discharging current through a current sensor;

[0090] Temperature monitoring unit: uses temperature sensors to monitor the temperature of retired battery modules in real time;

[0091] Data fusion unit: used to integrate data from the voltage monitoring unit, current monitoring unit and temperature monitoring unit, and generate comprehensive status information of the battery through data fusion; through a comprehensive real-time monitoring system, ensure that the voltage, current and temperature information of retired batteries are accurate, thereby improving the safety and reliability of the battery, extending the battery life, and ensuring the stable operation of the power supply system of the seismic station in various environments.

[0092] The energy conversion module includes a rectifier unit, an inverter unit, a filter unit and a voltage regulator unit; wherein:

[0093] Rectifier unit: used to convert the DC power provided by the retired battery module into a preliminary AC power signal. Specifically, the DC power supply is rectified by a rectifier (such as a diode bridge) to eliminate the negative half-cycle current and ensure the unidirectionality of the output current;

[0094] Inverter unit: used to convert the preliminary AC signal output by the rectifier unit into stable AC with the required frequency and voltage. It uses a high-efficiency inverter that can adjust the output voltage and frequency according to the power demand of the seismic station to ensure that the operation requirements of the equipment are met;

[0095] Filter unit: used to smooth the AC signal output by the inverter unit, remove high-frequency noise and harmonic components through the LC filter (inductor-capacitor filter), provide a more stable AC signal, and reduce the impact on subsequent equipment;

[0096] Voltage regulation unit: used to monitor the output AC voltage in real time and automatically adjust the working state of the inverter unit to ensure that the output voltage is always maintained within the set range.

[0097] The steps for automatic adjustment are as follows:

[0098] Real-time monitoring of output voltage: Real-time monitoring of the AC voltage output by the inverter unit through a high-precision voltage sensor ;

[0099] Set reference voltage: Set a target reference voltage according to the operating requirements of the seismic station equipment. , the reference voltage is the reference value for adjusting the output voltage of the inverter unit;

[0100] Error calculation: Calculate the error by comparing the real-time output voltage with the set reference voltage , the formula is: ,in, is the voltage error, is the reference voltage to be set, To monitor the output voltage in real time;

[0101] Control signal generation: Based on the calculated voltage error, the voltage regulation unit generates a control signal To adjust the working state of the inverter unit, the generation of the control signal can be achieved through proportional control, integral control or proportional-integral-differential control (PID control) and other methods. The specific formula is: ,in, is the control signal; , , are the proportional, integral and differential coefficients respectively; is the integral term of the error; is the rate of change of error;

[0102] Adjust the working state of the inverter unit: According to the generated control signal, the voltage regulation unit adjusts the working mode of the inverter unit, such as changing the switching frequency or duty cycle, to optimize the output voltage in real time and ensure that it remains within the set range.

[0103] The electric energy storage module includes a charging management unit, an electric energy storage unit, an energy release unit and a status monitoring unit; wherein:

[0104] Charge management unit: used to monitor the battery charging status and adjust the charging current according to the battery charging requirements. During battery charging, the charge management unit will evaluate the battery charging capacity and charging speed in real time to ensure that excess power can be effectively stored;

[0105] Energy storage unit: including energy storage devices, such as supercapacitors or energy storage batteries, for storing excess energy. Under the control of the charging management unit, when the charging current of the battery module exceeds the set threshold, the energy storage unit will automatically receive and store the excess energy for subsequent use;

[0106] Energy release unit: When the power demand exceeds the set value or the battery status is detected to be abnormal (such as low voltage or high temperature), the energy release unit will automatically start and convert the stored electric energy into AC power through the inverter to supply power to the required equipment;

[0107] Status monitoring unit: used to monitor the working status of the energy storage unit in real time, including the energy storage capacity, charging status and release status of the energy storage unit, and feed back the working status data to the charging management unit to adjust the charging and release strategies in time to ensure the safety and effectiveness of energy storage; the above-mentioned energy storage module can store excess electric energy in time when the power is sufficient through efficient charging management and energy release mechanism, and release it quickly under peak demand or abnormal conditions, thereby enhancing the power redundancy capability of the seismic station, ensuring that it always maintains a stable power supply under different working conditions, and improving the reliability and flexibility of the system.

[0108] The fault warning module includes a data acquisition unit, a fault analysis unit and a warning generation unit; wherein:

[0109] Data acquisition unit: used to collect status data of each module in real time, including voltage, current, and temperature information of retired battery modules, as well as charging status and current monitoring data of energy management modules;

[0110] Fault analysis unit: Using the set threshold and fault discrimination algorithm, combined with historical data and real-time monitoring data, multi-dimensional data analysis is carried out to identify potential fault risks, including the voltage of the battery module exceeding the set upper limit, falling below the lower limit, or the temperature exceeding the safe range, so as to accurately judge the fault situation;

[0111] Warning generation unit: Receives analysis results to generate corresponding warning signals, and forms specific warning information based on different fault types (such as battery overheating, overcharging, over-discharging, etc.), and then sends the warning signal to the user interface module through the set communication interface to prompt the operator to take necessary measures; the above-mentioned fault warning module uses comprehensive data collection and intelligent fault analysis mechanism to achieve accurate identification and timely warning of potential system failure risks, significantly improving the operational safety and maintenance efficiency of the seismic station, ensuring that the system can respond and handle quickly under abnormal circumstances, and ensuring the stability and reliability of the equipment.

[0112] Identifying potential failure risks in the failure analysis unit specifically includes:

[0113] Data collection: collect voltage, current and temperature data of retired battery modules in real time, and store the collected data in a data storage device to form a historical data set and a real-time monitoring data set;

[0114] Setting thresholds: According to the characteristics and manufacturing standards of the battery, set safety thresholds for voltage and temperature. The thresholds include the upper and lower limits of voltage, and the upper limit of temperature, to ensure that the battery operates within a safe range.

[0115] Fault identification algorithm: Through the fault identification algorithm, the real-time monitoring data is evaluated to determine whether the battery voltage exceeds the upper limit or is lower than the lower limit, or whether the temperature exceeds the safety upper limit. Based on the judgment, the corresponding status mark is given to indicate the current safety status of the battery;

[0116] Multi-dimensional data analysis: Combine historical data with real-time monitoring data to implement multi-dimensional data analysis. By comparing the historical change trends of battery voltage and temperature, the abnormality of current data is evaluated to identify potential failure risks.

[0117] Abnormal identification: Based on the above analysis results, an abnormal identification indicator is set. If the indicator shows that the battery has a potential failure risk, a corresponding warning is triggered to ensure that timely measures are taken to ensure system safety.

[0118] The specific steps to identify potential failure risks are as follows:

[0119] Step 1: Collect the voltage, current and temperature data of the retired battery modules in real time and store them in a data storage to form a historical data set and real-time monitoring datasets ;

[0120] Step 2: Set voltage and temperature safety thresholds, including the upper voltage limit, based on the battery’s characteristics and manufacturing standards , Voltage lower limit and upper temperature limit , for example, the setting value can be: ; ; ;

[0121] Step 3: Use the fault identification algorithm to evaluate the real-time monitoring data and use the following formula to determine whether the current state exceeds the set threshold. The judgment formula is as follows:

[0122] Voltage judgment: ;

[0123] in, It is a voltage status indicator, used to indicate the battery voltage status; The battery voltage is monitored in real time; is the upper voltage limit; is the voltage lower limit; when When it is on, it means the voltage exceeds the upper limit; When it indicates that the voltage is below the lower limit; Indicates that the voltage is within the safe range;

[0124] Temperature judgment: ;

[0125] in, The battery temperature is monitored in real time; is the upper limit of temperature; It is the temperature status indicator, which is used to indicate the battery temperature status; when When it is on, it means the temperature exceeds the upper limit; When it is on, it means the temperature is within the safe range;

[0126] Step 4: Combine historical datasets and real-time monitoring datasets , implement multi-dimensional data analysis, evaluate the abnormality of current data by comparing the historical change trends of voltage and temperature, and set abnormality discrimination indicators , calculated using the following formula: ,in, Represents an abnormality identification index. If , it indicates a potential failure risk.

[0127] The user interface module includes a status display unit, a monitoring unit and a configuration adjustment unit; wherein:

[0128] Status display unit: used to display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning. The battery power is displayed in percentage, the energy conversion status is displayed by indicator lights or icons to show the current energy conversion situation, the storage capacity is displayed as a ratio of available capacity to total capacity, and the fault warning is presented with warning symbols to ensure that operators can quickly identify potential risks;

[0129] Monitoring unit: including a visual interface that allows operators to view real-time data of each module, and the interface supports the display of charts and data curves, making it convenient for operators to evaluate system performance;

[0130] Configuration adjustment unit: provides operators with configuration adjustment functions, including setting battery charging and discharging strategies, adjusting energy conversion parameters, and setting fault warning thresholds. Operators can enter specific values ​​or select preset options through the interface to optimize system performance. Through the above units, the user interface module not only provides an operation interface, but also ensures that operators can monitor the system status in real time and make configuration adjustments, thereby improving the operability and safety of the system.

[0131] The present invention covers any substitution, modification, equivalent method and scheme made on the essence and scope of the present invention. In order to make the public have a thorough understanding of the present invention, specific details are described in detail in the following preferred embodiments of the present invention, but those skilled in the art can fully understand the present invention without the description of these details. In addition, in order to avoid unnecessary confusion about the essence of the present invention, well-known methods, processes, procedures, components and circuits are not described in detail.

[0132] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A seismic station energy storage system based on retired vehicle-mounted power batteries, characterized in that: It includes a retired battery module, an energy management module, an energy conversion module, an electric energy storage module, a fault warning module and a user interface module; wherein: Retired battery module: used to collect multiple retired vehicle power batteries and integrate them in series-parallel combination; Energy management module: used to monitor the retired battery module in real time, obtain the battery voltage, current and temperature status information, and feed the monitoring data back to the energy conversion module; Energy conversion module: used to convert the DC power provided by the retired battery module into the AC power required by the seismic station; Power storage module: used to store excess power during battery charging for use during peak power demand periods or when the battery status is abnormal, thereby enhancing the power redundancy capability of the seismic station; Fault warning module: used to collect status data of each module in real time, including information of retired battery modules and energy management modules, analyze potential fault risks, and generate warning signals to feed back to the user interface module; User interface module: used to provide an operation interface, display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning, allowing operators to monitor and adjust configurations; The retired battery module includes a battery collection unit, a battery identification unit and a series-parallel control unit; wherein: Battery collection unit: used to collect multiple retired vehicle power batteries; Battery identification unit: used to identify the collected battery models and their health status, and use the measurement data of voltage, current and internal impedance to evaluate the remaining service life and safety of each battery; Series-parallel control unit: automatically selects series-parallel combination mode according to the voltage and capacity characteristics of the battery, and integrates the collected batteries; The battery identification unit specifically includes: Voltage measurement: Use a high-precision voltage sensor to monitor the terminal voltage of each battery in real time and record the open circuit voltage of the battery And the operating voltage under load conditions ; Current measurement: The current sensor measures the battery's charge and discharge current in real time, and records the positive current during charging and the negative current during discharging; Internal impedance measurement: Measuring the internal impedance of the battery using AC impedance spectroscopy ; Remaining service life assessment: Estimates the remaining service life of the battery based on measured voltage, current and internal impedance data , the specific calculation formula is: ,in, is the rated capacity of the battery, is the current available capacity, is the maximum voltage of the battery, is the empirical coefficient; Safety assessment: Use voltage, internal impedance and temperature data to determine whether the battery has overcharge, over discharge or short circuit risks. or Then, it is marked as unsafe, where The minimum voltage threshold for safe battery operation. is the safety threshold of internal impedance; The series-parallel control unit specifically includes: Battery characteristic data collection: collects the voltage, rated capacity and current available capacity data of each battery; Battery pack demand analysis: Set the target output voltage based on the power requirements of the seismic station and target capacity ; Select combination: When the target output voltage Greater than the open circuit voltage of a single battery When the target capacity is the sum of When the capacity is greater than the rated capacity of a single battery, select a parallel combination.

2. According to claim 1, a seismic station energy storage system based on retired vehicle power batteries is characterized in that: The energy management module includes a voltage monitoring unit, a current monitoring unit, a temperature monitoring unit and a data fusion unit; wherein: Voltage monitoring unit: measures the open circuit voltage and operating voltage of the retired battery module in real time through the voltage sensor; Current monitoring unit: measures the battery charging and discharging current through a current sensor; Temperature monitoring unit: uses temperature sensors to monitor the temperature of retired battery modules in real time; Data fusion unit: used to integrate data from the voltage monitoring unit, current monitoring unit and temperature monitoring unit, and generate comprehensive battery status information through data fusion.

3. According to claim 1, a seismic station energy storage system based on retired vehicle power batteries is characterized in that: The energy conversion module includes a rectifier unit, an inverter unit, a filter unit and a voltage regulator unit; wherein: Rectification unit: used to convert the DC power provided by the retired battery module into a preliminary AC power signal, specifically by rectifying the DC power supply through a rectifier to eliminate the negative half-cycle current; Inverter unit: used to convert the preliminary AC signal output by the rectifier unit into stable AC with the required frequency and voltage; Filter unit: used to smooth the AC signal output by the inverter unit, remove high-frequency noise and harmonic components through the LC filter, and provide a more stable AC signal; Voltage regulation unit: used to monitor the output AC voltage in real time and automatically adjust the working state of the inverter unit to ensure that the output voltage is always maintained within the set range.

4. The seismic station energy storage system based on retired vehicle power batteries according to claim 1 is characterized in that: The electric energy storage module includes a charging management unit, an electric energy storage unit, an energy release unit and a state monitoring unit; wherein: Charging management unit: used to monitor the charging status of the battery and adjust the charging current according to the charging requirements of the battery; Power storage unit: including energy storage equipment for storing excess power. Under the control of the charging management unit, when the charging current of the battery module exceeds the set threshold, the power storage unit will automatically receive and store the excess power for subsequent use; Energy release unit: When the power demand exceeds the set value or the battery status is detected to be abnormal, the energy release unit will automatically start and convert the stored electric energy into AC power through the inverter to supply power to the required equipment; Status monitoring unit: used to monitor the working status of the energy storage unit in real time, including the energy storage capacity, charging status and release status of the energy storage unit, and feed back the working status data to the charging management unit to adjust the charging and release strategies in time.

5. The seismic station energy storage system based on retired vehicle power batteries according to claim 1 is characterized in that: The fault warning module includes a data acquisition unit, a fault analysis unit and a warning generation unit; wherein: Data acquisition unit: used to collect status data of each module in real time, including voltage, current, and temperature information of retired battery modules, as well as charging status and current monitoring data of energy management modules; Fault analysis unit: Using the set thresholds and fault discrimination algorithms, combined with historical data and real-time monitoring data, multi-dimensional data analysis is performed to identify potential fault risks, including the voltage of the battery module exceeding the set upper limit, falling below the lower limit, or the temperature exceeding the safe range; Warning generation unit: Receives analysis results to generate corresponding warning signals, forms specific warning information according to different fault types, and then sends the warning signals to the user interface module through the set communication interface.

6. The seismic station energy storage system based on retired vehicle power batteries according to claim 5 is characterized in that: The fault analysis unit specifically includes: Data collection: collect voltage, current and temperature data of retired battery modules in real time, and store the collected data in a data storage device to form a historical data set and a real-time monitoring data set; Setting thresholds: Setting safety thresholds for voltage and temperature based on the characteristics and manufacturing standards of the battery, wherein the thresholds include an upper limit and a lower limit for voltage, and an upper limit for temperature; Fault identification algorithm: Through the fault identification algorithm, the real-time monitoring data is evaluated to determine whether the battery voltage exceeds the upper limit or is lower than the lower limit, or whether the temperature exceeds the safety upper limit. Based on the judgment, the corresponding status mark is given to indicate the current safety status of the battery; Multi-dimensional data analysis: Combine historical data with real-time monitoring data to implement multi-dimensional data analysis. By comparing the historical change trends of battery voltage and temperature, the abnormality of current data is evaluated to identify potential failure risks. Abnormal identification: Based on the above analysis results, an abnormal identification indicator is set. If the indicator shows that the battery has a potential failure risk, the corresponding warning is triggered.

7. The seismic station energy storage system based on retired vehicle power batteries according to claim 1 is characterized in that: The user interface module includes a status display unit, a monitoring unit and a configuration adjustment unit; wherein: Status display unit: used to display the status information of each module in real time, including battery power, energy conversion status, storage capacity and fault warning. The battery power is displayed in percentage, the energy conversion status is displayed by indicator lights or icons to show the current energy conversion situation, the storage capacity is displayed as a ratio of available capacity to total capacity, and the fault warning is presented with warning symbols to ensure that operators can quickly identify potential risks; Monitoring unit: including a visual interface that allows operators to view real-time data of each module, and the interface supports the display of charts and data curves; Configuration adjustment unit: provides operators with configuration adjustment functions, including setting battery charging and discharging strategies, adjusting energy conversion parameters, and setting fault warning thresholds. Operators can enter specific values ​​or select preset options through the interface.

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