Carnot cell state monitoring method and system based on real-time data

Abstract

The invention relates to the technical field of power management, in particular to a Carnot battery state monitoring method and system based on real-time data, which can improve the energy utilization efficiency and safety and reduce the maintenance cost. The method comprises the following steps: acquiring an external influence factor set of the Carnot cell in response to detecting that at least one running state characteristic value in the running process of the Carnot cell is not in a corresponding preset standard characteristic range; setting a first operation adjustment strategy by considering the external influence factor set and the first-order deviation degree of each operation state characteristic value; adjusting the Carnot battery based on a first operation adjustment strategy, and monitoring the second-order deviation degree of each operation state characteristic value after a first preset adjustment duration; considering the second-order deviation degree of each real-time state characteristic value and a first preset adjustment duration, and setting a second operation adjustment strategy; and adjusting the Carnot battery based on the second operation adjustment strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of power management, and particularly to a method and system for monitoring the state of a Carnot battery based on real-time data. Background Art

[0002] With the continuous progress of renewable energy technologies and the increasing demand for energy storage, the Carnot battery, as an innovative energy storage solution, can convert excess electricity (such as curtailment from photovoltaic or wind power) into heat energy and store it in high-temperature molten salt, and then convert it back into electrical energy when needed. It can not only effectively utilize intermittent renewable energy, but also improve the grid's ability to absorb new energy, and at the same time provide a new way for the transformation and reuse of old thermal power units.

[0003] Existing methods for monitoring the state of Carnot batteries often only focus on some operating state characteristic values. For example, they only focus on the molten salt temperature and ignore the mutual relationships between other important parameters (such as battery voltage, current, and external factors). Such a one-sided monitoring method is difficult to comprehensively grasp the true operating condition of the battery. At the same time, when an abnormal battery operation is detected, only a simple alarm is given without an effective dynamic adjustment strategy. Even if there is an adjustment strategy, it is often fixed and cannot be adjusted and monitored in real time according to the actual situation, resulting in the battery being in an unstable state for a long time or missing the best adjustment opportunity. Summary of the Invention

[0004] To solve the above technical problems, the present invention provides a method and system for monitoring the state of a Carnot battery based on real-time data, which can improve energy utilization efficiency and safety and reduce maintenance costs.

[0005] In a first aspect, the present invention provides a method for monitoring the state of a Carnot battery based on real-time data, the method comprising:

[0006] In response to detecting that at least one operating state characteristic value during the operation of the Carnot battery is not within the corresponding preset standard characteristic range, collecting an external influencing factor set of the Carnot battery;

[0007] Considering the external influencing factor set and the first-order deviation degrees of the respective operating state characteristic values, setting a first operating adjustment strategy;

[0008] Adjusting the Carnot battery based on the first operating adjustment strategy, and monitoring the second-order deviation degrees of the respective operating state characteristic values after a first preset adjustment duration;

[0009] Considering the second-order deviation degrees of the respective real-time state characteristic values and the first preset adjustment duration, setting a second operating adjustment strategy;

[0010] Adjust the Carnot battery based on the second operation adjustment strategy, and monitor whether there is still the operation state eigenvalue not within the corresponding preset standard eigenvalue range after the second preset adjustment duration; if so, generate an alarm message indicating abnormal operation of the Carnot battery, and if not, maintain the operation strategy after the second operation adjustment strategy;

[0011] Wherein, the sum of the first preset adjustment duration and the second preset adjustment duration is equal to the maximum adjustment duration allowed for the Carnot battery.

[0012] Further, the operation state eigenvalues include molten salt temperature, molten salt pressure, molten salt flow rate, battery voltage, and battery current; the external influence factor set includes environmental temperature, environmental humidity, vibration frequency, battery load, and photovoltaic energy input stability.

[0013] Further, considering the first-order deviation degrees of the external influence factor set and each operation state eigenvalue, set the first operation adjustment strategy:

[0014] For each operation state eigenvalue and external influence factor, calculate the deviation between its actual value and the preset standard value respectively;

[0015] Perform normalization and standardization processing on the calculated deviations to obtain the first-order deviation degrees;

[0016] Assign weights to each external influence factor;

[0017] Combine the first-order deviation degrees of each operation state eigenvalue with the weights of the external influence factors, and calculate to obtain the comprehensive deviation degree;

[0018] Set the first operation adjustment strategy according to the comprehensive deviation degree and the first-order deviation degrees.

[0019] Further, the setting method of the first preset adjustment duration includes:

[0020] Assign weights to the first-order deviation degrees of each eigenvalue;

[0021] According to the first-order deviation degrees of each operation state eigenvalue and the corresponding weights, calculate the comprehensive first-order deviation degree;

[0022] Determine the maximum adjustment duration allowed for the Carnot battery according to the design characteristics, operation experience, and safety requirements of the battery;

[0023] Evaluate the adjustment difficulty required to restore the battery state to the ideal state according to the magnitude of the comprehensive first-order deviation degree;

[0024] Within the maximum adjustment duration, set the first preset adjustment duration according to the adjustment difficulty and the first-order deviation degrees of each eigenvalue.

[0025] Further, considering the second - order deviation degree of the real - time state eigenvalue and the first preset adjustment duration, set the second operation adjustment strategy:

[0026] Based on the consideration of the second - order deviation degree analysis and the first preset adjustment duration, determine the adjustment direction of the second operation adjustment strategy;

[0027] According to the adjustment direction, set the second operation adjustment strategy;

[0028] Considering the non - linear characteristics of the battery and the changes in external influencing factors, optimize the second operation adjustment strategy;

[0029] Set up a monitoring mechanism to track the execution situation and effect of the strategy in real - time.

[0030] Further, based on the second operation adjustment strategy, adjust the Carnot battery, and after the second preset adjustment duration, monitor whether there are still the operation state eigenvalues not within the corresponding preset standard eigenvalue range:

[0031] Automatically adjust the operation state of the battery according to the second operation adjustment strategy;

[0032] After the second preset adjustment duration, monitor the operation state eigenvalues of the Carnot battery again to evaluate the effect of the second operation adjustment strategy;

[0033] Judge whether the operation state eigenvalues have returned to the preset standard eigenvalue range;

[0034] If after the adjustment of the second operation adjustment strategy, there are still operation state eigenvalues not within the preset standard eigenvalue range, generate an alarm message for abnormal operation of the Carnot battery;

[0035] If not, maintain the operation strategy after the second operation adjustment strategy.

[0036] Further, the setting method of the second preset adjustment duration includes:

[0037] Determine the maximum allowable adjustment duration of the Carnot battery;

[0038] Subtract the first preset adjustment duration from the maximum allowable adjustment duration of the Carnot battery to obtain the time window for the second adjustment;

[0039] According to the second - order deviation degree, determine the adjustment method, and the adjustment method includes the parameters to be focused on adjusting and the adjustment intensity;

[0040] Evaluate the influence of external influencing factors on the adjustment effect;

[0041] Set a second preset adjustment duration based on the time window of the second adjustment, the adjustment method, and the influence of external influencing factors on the adjustment effect.

[0042] On the other hand, the present application also provides a Carnot battery status monitoring system based on real-time data. The system includes:

[0043] An external factor acquisition module, which, in response to detecting that at least one operating state characteristic value during the operation of the Carnot battery is not within the corresponding preset standard characteristic range, acquires the set of external influencing factors of the Carnot battery; the operating state characteristic values include molten salt temperature, molten salt pressure, molten salt flow rate, battery voltage, and battery current; the set of external influencing factors includes environmental temperature, environmental humidity, vibration frequency, battery load, and photovoltaic energy input stability;

[0044] A first-order deviation analysis module, which sets a first operation adjustment strategy considering the set of external influencing factors and the first-order deviations of the operating state characteristic values.

[0045] A second-order deviation monitoring module, which adjusts the Carnot battery based on the first operation adjustment strategy and monitors the second-order deviations of the operating state characteristic values after a first preset adjustment duration.

[0046] A second adjustment strategy formulation module, which sets a second operation adjustment strategy considering the second-order deviations of the real-time state characteristic values and the first preset adjustment duration.

[0047] A status recheck and alarm generation module, which adjusts the Carnot battery based on the second operation adjustment strategy and monitors whether there are still operating state characteristic values not within the corresponding preset standard characteristic range after a second preset adjustment duration; if so, it generates an alarm message for abnormal operation of the Carnot battery, and if not, it maintains the operation strategy after the second operation adjustment strategy; wherein the sum of the first preset adjustment duration and the second preset adjustment duration is equal to the maximum adjustment duration allowed for the Carnot battery.

[0048] In a third aspect, the present application provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are connected through the bus, and when the computer program is executed by the processor, it implements the steps in any one of the above methods.

[0049] In a fourth aspect, the present application also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps in any one of the above methods.

[0050] The beneficial effects of the present invention compared with the prior art are as follows: This method not only focuses on a single characteristic value of the molten salt temperature, but also comprehensively considers multiple operating state characteristic values, and at the same time introduces multiple external influencing factors, which can more accurately reflect the actual operating state of the Carnot battery, improving the accuracy and reliability of monitoring; A dynamic adjustment strategy based on the first-order and second-order deviation degrees is introduced in the method; When it is detected that the operating state characteristic value deviates from the preset standard, it can quickly respond and collect external influencing factors, and set the adjustment strategy according to the deviation degree; Through real-time monitoring and dynamic adjustment, it is ensured that the Carnot battery operates in the best state, avoiding being in an unstable state for a long time or missing the best adjustment opportunity; After two adjustments, if there are still characteristic values that have not returned to normal, the system will generate an alarm message; It helps to discover and handle potential problems in a timely manner, prevent the problems from deteriorating further, and reduce the possibility of failures; The adjustment strategy in the method is dynamically set according to real-time data and can be adjusted according to the actual situation; This enables the method to adapt to different working environments and operating states, improving the adaptability and stability of the system;

[0051] Through real-time monitoring and dynamic adjustment, the method can ensure that the Carnot battery operates in the best state, thereby improving the energy storage and conversion efficiency; At the same time, discovering and handling potential problems in a timely manner also helps to improve the safety of the system and reduce the impact of failures on the power grid;

[0052] Timely early warning and adjustment strategies help to reduce the downtime and maintenance costs caused by battery failures; By optimizing the operating strategy, the service life of the battery can be extended, further reducing the maintenance costs;

[0053] In summary, the method for monitoring the state of the Carnot battery based on real-time data has multiple advantages such as comprehensiveness and integrity, dynamic adjustment and real-time monitoring, early warning and emergency response mechanisms, flexibility and adaptability, improving energy utilization efficiency and safety, and reducing maintenance costs. Brief Description of the Drawings

[0054] Figure 1 is the flow chart of the present invention;

[0055] Figure 2 is the flow chart of the setting method of the first preset adjustment duration;

[0056] Figure 3 is the structural diagram of the system for monitoring the state of the Carnot battery based on real-time data. Detailed Embodiments

[0057] In the description of the present application, those skilled in the art should know that the present application can be implemented as a method, a device, an electronic device, and a computer-readable storage medium. Therefore, the present application can be specifically implemented in the following forms: completely in hardware, completely in software (including firmware, resident software, microcode, etc.), or in a combination of hardware and software. In addition, in some embodiments, the present application can also be implemented in the form of a computer program product in one or more computer-readable storage media, which contain computer program code.

[0058] The above-mentioned computer-readable storage media can adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, compact disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, the computer-readable storage media can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, device, or component.

[0059] In the technical solution of the present application, the acquisition, storage, use, processing, etc. of data all comply with the relevant provisions of national laws.

[0060] The present application describes the provided method, device, and electronic device through flowcharts and / or block diagrams.

[0061] It should be understood that each block of the flowchart and / or block diagram, as well as the combination of blocks in the flowchart and / or block diagram, can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing devices, thereby producing a machine. These computer-readable program instructions are executed by a computer or other programmable data processing devices, resulting in a device that implements the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0062] These computer-readable program instructions can also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product that includes the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0063] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices, causing a series of operational steps to be performed on the computer, other programmable data processing apparatus, or other devices to generate a computer-implemented process, so that the instructions executed on the computer or other programmable data processing apparatus can provide a process for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

[0064] The present application will be described below with reference to the accompanying drawings in the present application.

[0065] Embodiment 1: As Figures 1 to 2 shown, the method for monitoring the state of a Carnot battery based on real-time data of the present invention specifically includes the following steps:

[0066] S1. In response to detecting that at least one operating state characteristic value during the operation of the Carnot battery is not within the corresponding preset standard characteristic range, collect the set of external influencing factors of the Carnot battery;

[0067] The operating state characteristic values include:

[0068] Molten salt temperature: The molten salt temperature is a core parameter during the energy storage and release processes of the Carnot battery; too high a temperature will cause the molten salt to decompose or equipment damage, and too low a temperature will affect the energy storage efficiency; therefore, real-time monitoring of the molten salt temperature is the basis for ensuring the stable operation of the battery;

[0069] Molten salt pressure: The molten salt pressure reflects the flow state of the molten salt in pipelines and storage tanks; abnormal pressure will cause molten salt leakage or equipment failure, so real-time monitoring is required;

[0070] Molten salt flow rate: The molten salt flow rate directly affects the heat transfer efficiency; too low a flow rate will result in insufficient heat transfer, and too high a flow rate will increase the system load; real-time monitoring of the flow rate helps to optimize the system operation;

[0071] Battery voltage: The battery voltage is a direct indicator of the electrical energy output; abnormal voltage will cause unstable electrical energy output or equipment damage, so real-time monitoring is required;

[0072] Battery current: The battery current reflects the charge and discharge state of the battery; too large a current will cause the battery to overheat or be damaged, and too small a current will affect the energy storage efficiency; real-time monitoring of the current helps to ensure the safe operation of the battery;

[0073] During the operation of the Carnot battery, its various operating state characteristic values are important indicators reflecting its working state; when any one or more of these characteristic values deviate from the preset standard characteristic range, it indicates that the Carnot battery is in an abnormal operating state;

[0074] The set of external influencing factors includes:

[0075] Ambient temperature: Changes in the ambient temperature can affect the heat energy storage and conversion efficiency of the Carnot battery;

[0076] Ambient humidity: Excessive humidity may cause the electrical components inside the battery to be affected by moisture, thereby affecting its performance;

[0077] Vibration frequency: During operation, the Carnot battery may be affected by vibrations from the external environment. Excessive vibration frequency may cause the mechanical structure inside the battery to become loose or damaged;

[0078] Battery load: The magnitude of the battery load directly affects the discharge performance and lifespan of the Carnot battery; Excessive load may cause the battery to overheat or be over-discharged, thus damaging the battery;

[0079] Stability of photovoltaic energy input: Since Carnot batteries are often used to store the abandoned electricity from photovoltaic or wind power, the stability of photovoltaic energy input is also an important factor affecting the operating state of the Carnot battery; Unstable input will lead to a decrease in the heat energy storage efficiency during the battery charging process or battery damage.

[0080] In this step, by real-time monitoring of the key operating state characteristic values during the operation of the Carnot battery, once it is found that these characteristic values deviate from the preset standard characteristic range, the system can immediately respond and issue a warning in a timely manner; This helps to avoid the performance degradation or equipment damage caused by the battery operating in an abnormal state for a long time, thereby extending the service life of the battery; By collecting the set of external influencing factors of the Carnot battery, the system can more accurately locate the specific reasons for the abnormal battery operation; This helps the operation and maintenance personnel to quickly formulate targeted solutions, improving the efficiency and accuracy of problem handling; Real-time monitoring and data analysis help the operation and maintenance personnel understand the performance of the Carnot battery under different operating conditions, so as to adjust the operation strategy according to the actual situation and optimize the system performance; Adjust the operating parameters of the battery according to the changes in ambient temperature and humidity to improve the heat energy storage and conversion efficiency; Adjust the battery charging strategy according to the changes in the stability of photovoltaic energy input to avoid battery damage caused by unstable input; By real-time monitoring the operating state of the battery and external influencing factors, the system can timely detect potential safety hazards, and thus take measures in a timely manner to avoid the occurrence of safety accidents; This helps to ensure the safety and stability of battery operation and reduce the operation and maintenance risks; This step realizes the accurate monitoring and warning of the battery operating state by real-time monitoring the operating state characteristic values and external influencing factors of the Carnot battery, which helps to optimize the system operation, improve safety and extend the service life of the battery.

[0081] S2. Consider the set of external influencing factors and the first-order deviation degrees of the operating state characteristic values, and set the first operating adjustment strategy;

[0082] The first-order deviation degree refers to the degree of deviation between the characteristic value of the actual operating state and its preset standard characteristic value; it reflects the gap between the current state of the system and the ideal state; for each characteristic value of the operating state and external influencing factors, the deviation between its actual value and the preset standard value is calculated respectively;

[0083] The calculated deviations are normalized and standardized to obtain the first-order deviation degree, which is convenient for comparison and comprehensive analysis between different characteristic values;

[0084] Weights are assigned to each external influencing factor to reflect its influence degree on the characteristic value of the operating state;

[0085] The first-order deviation degree of each characteristic value of the operating state is combined with the weights of the external influencing factors to calculate the comprehensive deviation degree;

[0086] According to the comprehensive deviation degree and the first-order deviation degree, the first operating adjustment strategy is set; according to the magnitude of the comprehensive deviation degree, the priority of the adjustment strategy is determined; the larger the comprehensive deviation degree, the higher the priority of the adjustment strategy.

[0087] In this step, by calculating the first-order deviation degree of each characteristic value of the operating state and external influencing factors, and conducting comprehensive analysis in combination with weights, this step can comprehensively consider various key factors in the operation of the Carnot battery, improving the accuracy of monitoring and adjustment; normalizing and standardizing the deviations enables effective comparison and comprehensive analysis between different characteristic values, avoiding errors and inconveniences caused by different dimensions of characteristic values; this step sets the first operating adjustment strategy based on the first-order deviation degree and the comprehensive deviation degree, ensuring that the formulation of the adjustment strategy is based on scientific analysis of real-time data; determining the priority of the adjustment strategy by the magnitude of the comprehensive deviation degree enables the most critical problems to be solved first in case of limited resources or emergencies, improving the rationality and effectiveness of the adjustment strategy; by real-time monitoring the characteristic values of the operating state and external influencing factors, and setting the adjustment strategy in a timely manner when the first-order deviation degree exceeds the preset range, this step can promptly detect and respond to abnormal situations in the operation of the Carnot battery, enhancing the stability of the system; by comprehensively considering various factors and setting adjustment strategies with clear priorities, this step can also prevent potential operation risks, improving the security of the system; this step can improve the comprehensiveness and accuracy of monitoring and adjustment in the method for monitoring and adjusting the state of the Carnot battery, ensure the scientificity and rationality of the adjustment strategy, enhance the stability and security of the system, and improve the adaptability and flexibility.

[0088] S3. Adjust the Carnot battery based on the first operating adjustment strategy, and monitor the second-order deviation degree of each of the characteristic values of the operating state after the first preset adjustment duration;

[0089] The second-order deviation refers to the quadratic deviation degree of the operating state characteristic value of the Carnot battery relative to the preset standard characteristic value after implementing the first operating adjustment strategy; it reflects the actual response of the system after the implementation of the adjustment strategy;

[0090] After the end of the first preset adjustment duration, immediately collect the operating state characteristic values of the Carnot battery;

[0091] Using a method similar to that for calculating the first-order deviation, calculate the deviation between the actual value and the preset standard value of these characteristic values, and perform normalization and standardization processing to obtain the second-order deviation;

[0092] The setting method of the first preset adjustment duration includes:

[0093] Since different operating state characteristic values have different degrees of influence on the overall operating condition of the Carnot battery, it is necessary to assign a weight to the first-order deviation of each characteristic value;

[0094] According to the first-order deviation of each operating state characteristic value and the corresponding weight, calculate the comprehensive first-order deviation; the comprehensive first-order deviation reflects the overall gap between the current operating state of the Carnot battery and the ideal state;

[0095] Determine the maximum allowable adjustment duration of the Carnot battery according to the design characteristics, operating experience, and safety requirements of the battery;

[0096] According to the magnitude of the comprehensive first-order deviation, evaluate the adjustment difficulty required to restore the battery state to the ideal state; the greater the deviation, the greater the adjustment difficulty and the longer the required time;

[0097] Within the maximum adjustment duration, reasonably allocate the adjustment time according to the adjustment difficulty and the first-order deviation of each characteristic value, and set the first preset adjustment duration; this duration should be neither too long nor too short, ensuring sufficient time for necessary adjustments while avoiding wasting time and resources.

[0098] In this step, by monitoring the second-order deviation of various operating state characteristic values of the Carnot battery after the first preset adjustment duration, this step realizes the real-time monitoring of the battery operating state; enables the system to promptly detect and respond to abnormal situations during battery operation, thereby adopting a dynamic adjustment strategy to ensure the stable operation of the battery; the calculation of the second-order deviation not only considers the deviation between the actual value and the preset standard value, but also performs normalization and standardization processing, thus more accurately evaluating the implementation effect of the first operating adjustment strategy; helps the system accurately judge whether the adjustment measures are effective and whether further adjustment is needed; the setting method of the first preset adjustment duration fully considers the influence degree of different operating state characteristic values on the overall operating condition of the battery and the adjustment difficulty required to restore the battery state to the ideal state, ensuring both the sufficiency of the adjustment and avoiding the waste of time and resources; through real-time monitoring and dynamic adjustment, it helps to reduce the risk of the Carnot battery being in an unstable state for a long time, thereby improving the stability and safety of the system; at the same time, reasonable adjustment time allocation also avoids potential damage to the battery caused by improper adjustment; by accurately evaluating the adjustment effect and promptly adjusting the adjustment strategy, it helps to optimize the energy utilization efficiency of the Carnot battery; not only can it improve the consumption capacity of renewable energy, but also provide a new way for the transformation and reuse of old thermal power units, thus promoting the sustainable development of the energy industry.

[0099] S4. Consider the second-order deviation of each of the real-time state characteristic values and the first preset adjustment duration, and set a second operating adjustment strategy;

[0100] Based on the consideration of the second-order deviation analysis and the first preset adjustment duration, determine the adjustment direction of the second operating adjustment strategy; for the characteristic values with still large second-order deviations, more aggressive adjustment measures need to be taken; for the characteristic values that are already close to the preset standard range, appropriately reduce the adjustment intensity;

[0101] According to the adjustment direction, set the measures of the second operating adjustment strategy, including adjustment parameters, adjustment step sizes, adjustment frequencies, etc.;

[0102] Consider the non-linear characteristics of the battery and the changes in external influencing factors, and optimize the second operating adjustment strategy to ensure its effectiveness and stability in actual operation; formulate a detailed implementation plan, clarify adjustment steps, time nodes, responsible persons, etc.;

[0103] Set up a monitoring mechanism to track the implementation situation and effect of the strategy in real time for timely adjustment and optimization.

[0104] In this step, by deeply analyzing the second-order deviation, step S4 can accurately identify the characteristic values in the operating state of the Carnot battery that still deviate from the preset standard, and thus take targeted adjustment measures; not only improving the response speed, but also effectively avoiding unnecessary resource waste; considering the first preset adjustment duration, step S4 can dynamically adjust the second operating adjustment strategy to ensure that the adjustment measures are neither too aggressive nor too conservative; taking more active adjustments for the characteristic values with larger deviations, while appropriately reducing the adjustment intensity for the characteristic values that are already close to the standard, which helps the battery to quickly and smoothly return to the optimal operating state; this step not only sets specific adjustment measures, but also considers the non-linear characteristics of the battery and the changes in external influencing factors, optimizing the strategy; ensuring the effectiveness and stability of the adjustment strategy in actual operation, reducing the risk of battery failure caused by misadjustment or over-adjustment; formulating a detailed implementation plan, clarifying the adjustment steps, time nodes and responsible persons, which helps to ensure the efficient execution of the adjustment strategy; at the same time, clear responsibilities also help to quickly locate and solve problems when they occur, improving the overall management efficiency and emergency response ability; setting up a monitoring mechanism to track the implementation situation and effect of the strategy in real time, providing data support for timely adjustment and optimization; ensuring that the Carnot battery can continuously maintain the optimal operating state, improving its reliability and service life; through multi-faceted efforts such as precise adjustment, dynamic adaptation, strategy optimization, implementation plan formulation and monitoring mechanism setting, step S4 significantly improves the efficiency and effect of the state monitoring and adjustment of the Carnot battery.

[0105] S5. Adjust the Carnot battery based on the second operating adjustment strategy, and monitor whether there are still the operating state characteristic values not within the corresponding preset standard characteristic range after the second preset adjustment duration; if so, generate an alarm message for abnormal operation of the Carnot battery, and if not, maintain the operating strategy after the second operating adjustment strategy.

[0106] Through the automatic control system, input the specific parameters of the second operating adjustment strategy into the management system of the Carnot battery, and the system automatically adjusts the operating state of the battery according to these parameters.

[0107] After the second preset adjustment duration, monitor the operating state characteristic values such as the molten salt temperature, molten salt pressure, molten salt flow rate, battery voltage and battery current of the Carnot battery again to evaluate the effect of the second operating adjustment strategy.

[0108] Judge whether these characteristic values have returned to the preset standard characteristic range.

[0109] If, after the adjustment of the second operation adjustment strategy, there are still operation status eigenvalues not within the preset standard eigenvalue range, this indicates that there are relatively serious operation problems or faults in the Carnot battery; at this time, the system will generate an alarm message for abnormal operation, notifying the operation and maintenance personnel or the automation system to take further diagnostic and processing measures;

[0110] If all eigenvalues have returned to the preset range, it indicates that the second operation adjustment strategy is effective, and the system will maintain the current operation strategy and continue to monitor the operation status of the battery to ensure its continuous and stable operation;

[0111] The setting method of the second preset adjustment duration includes:

[0112] Confirm the maximum adjustment duration allowed for the Carnot battery; the maximum adjustment duration is a safety limit determined during system design to ensure that all adjustment activities are completed within a controllable time range;

[0113] Subtract the first preset adjustment duration from the maximum adjustment duration allowed for the Carnot battery to obtain the time window available for the second adjustment;

[0114] According to the second-order deviation degrees of the operation status eigenvalues, determine which parameters still exceed the preset standard range or are key parameters that, although improved, still do not reach the ideal state; for eigenvalues with a large second-order deviation degree, more aggressive adjustment is required; while for eigenvalues that are already close to the preset standard range, the adjustment intensity is appropriately reduced;

[0115] Considering the changes in external influencing factors and their impact on the adjustment effect, ensure that the second preset adjustment duration can adapt to different external conditions;

[0116] By real-time monitoring the system performance, dynamically adjust the second preset adjustment duration according to the actual situation to ensure its adaptation to specific operating conditions;

[0117] Based on the above analysis results, reasonably allocate the remaining time as the second preset adjustment duration; this duration should neither be too long nor too short, ensuring sufficient time for necessary adjustments while avoiding wasting time and resources.

[0118] In this step, through the second operation adjustment strategy based on real-time data, this step realizes the dynamic adjustment of the operating state of the Carnot battery; it not only considers the operating state characteristic values inside the battery, but also comprehensively considers external influencing factors, so as to be able to more accurately judge the operating state of the battery and take corresponding adjustment measures; at the same time, the real-time monitoring mechanism ensures the continuous tracking of the battery state, providing reliable data support for subsequent decision-making; the setting method of the second preset adjustment duration fully considers the characteristics of the Carnot battery, external influencing factors, as well as historical data and experience, ensuring the rationality and effectiveness of the adjustment duration; by reasonably allocating the remaining time as the second preset adjustment duration, it not only ensures that there is enough time for necessary adjustments, but also avoids wasting time and resources; this refined time management improves the efficiency and accuracy of the adjustment, helping the battery to quickly return to a stable state; through real-time monitoring and dynamic adjustment in this step, it is ensured that the Carnot battery can detect and handle abnormal situations in a timely manner during operation; when the battery state characteristic value exceeds the preset standard range, the system will generate an alarm message for abnormal operation, notifying the operation and maintenance personnel or the automation system to take further diagnostic and processing measures; it helps to detect and solve potential safety hazards in advance, thus enhancing the stability and security of the system; through the implementation of this step, the operation and maintenance personnel can more accurately understand the operating state of the Carnot battery and formulate more reasonable operation and maintenance strategies according to the actual situation; it helps to reduce unnecessary maintenance times and costs and improve the operation and maintenance efficiency; at the same time, through the real-time monitoring and early warning mechanism, battery failures can be detected and handled in a timely manner, avoiding greater losses caused by the expansion of the failures; by optimizing the operating state monitoring and adjustment method of the Carnot battery in this step, it helps to improve its operating efficiency and stability, thus further promoting the utilization and development of renewable energy.

[0119] S6. Among them, the sum of the first preset adjustment duration and the second preset adjustment duration is equal to the maximum adjustment duration allowed for the Carnot battery;

[0120] The maximum adjustment duration refers to the longest time allowed for adjustment when the Carnot battery is in an abnormal operating state; exceeding this duration, the battery will experience performance degradation or safety hazards due to being in an unstable state for a long time;

[0121] The first preset adjustment duration is the time length for implementing the first operation adjustment strategy;

[0122] The second preset adjustment duration is the time length for implementing the second operation adjustment strategy;

[0123] If it is observed that the battery state has improved significantly and approaches the preset standard characteristic range within the first preset adjustment duration, the second preset adjustment duration is appropriately shortened; conversely, if the improvement is not obvious or the state continues to deteriorate, the second preset adjustment duration needs to be extended or the adjustment strategy needs to be adjusted;

[0124] Through the dynamic adjustment mechanism, it can be ensured that the adjustment process is neither too long nor too hasty, so as to achieve the best adjustment effect on the premise of ensuring battery safety;

[0125] The setting of the maximum adjustment duration is not only a time limit for the battery state adjustment process, but also a guarantee for battery safety; it ensures that the operation and maintenance personnel have enough time to respond and handle when dealing with battery failures, and at the same time avoids battery damage or safety accidents caused by long-term abnormal states;

[0126] The maximum adjustment duration serves as an important reference basis for the operation and maintenance personnel to formulate adjustment plans and evaluate adjustment effects; by reasonably planning and allocating the adjustment duration, precise control and optimized management of the battery state can be achieved.

[0127] In this step, by setting the maximum adjustment duration, the time allowed for adjustment of the Carnot battery in an abnormal state is limited, thus avoiding performance degradation or safety hazards caused by the battery being in an unstable state for a long time; it not only provides a time limit for the operation and maintenance personnel to handle battery failures, but also ensures the safety of the battery during the entire adjustment process; the maximum adjustment duration serves as an important reference basis for the operation and maintenance personnel to formulate adjustment plans and evaluate adjustment effects, which helps the operation and maintenance personnel reasonably plan and allocate the adjustment duration, achieve precise control and optimized management of the battery state; it not only improves the efficiency of the operation and maintenance work, but also enhances the performance and service life of the battery; the setting that the sum of the first preset adjustment duration and the second preset adjustment duration in step S6 is equal to the maximum adjustment duration allowed for the Carnot battery is the key to ensuring the safe, effective and efficient completion of the battery state adjustment process; by reasonably planning and dynamically adjusting the adjustment duration, precise control and optimized management of the battery state can be achieved, thereby further improving the operation efficiency and safety of the Carnot battery.

[0128] Embodiment 2: As Figure 3 shown, the Carnot battery state monitoring system based on real-time data of the present invention specifically includes the following modules;

[0129] An external factor acquisition module, in response to detecting that at least one operating state characteristic value during the operation of the Carnot battery is not within the corresponding preset standard characteristic range, acquires the external influence factor set of the Carnot battery; the operating state characteristic values include molten salt temperature, molten salt pressure, molten salt flow rate, battery voltage, and battery current; the external influence factor set includes environmental temperature, environmental humidity, vibration frequency, battery load, and photovoltaic energy input stability;

[0130] A first-order deviation analysis module, considering the first-order deviation of the external influence factor set and each of the operating state characteristic values, sets the first operation adjustment strategy;

[0131] The second-order deviation monitoring module adjusts the Carnot battery based on the first operation adjustment strategy, and monitors the second-order deviation of each of the operation state characteristic values after a first preset adjustment duration;

[0132] The secondary adjustment strategy formulation module sets a second operation adjustment strategy considering the second-order deviation of each of the real-time state characteristic values and the first preset adjustment duration;

[0133] The state re-inspection and alarm generation module adjusts the Carnot battery based on the second operation adjustment strategy, and monitors whether there are still any of the operation state characteristic values not within the corresponding preset standard characteristic range after a second preset adjustment duration; if so, it generates an alarm message for abnormal operation of the Carnot battery, and if not, it maintains the operation strategy after the second operation adjustment strategy; wherein, the sum of the first preset adjustment duration and the second preset adjustment duration is equal to the maximum adjustment duration allowed for the Carnot battery.

[0134] This system not only focuses on key parameters such as the molten salt temperature, but also takes into account external environmental factors and internal operation state characteristic values at the same time; it can more accurately reflect the true operation condition of the Carnot battery; through the first-order deviation analysis module and the secondary adjustment strategy formulation module, the system can dynamically adjust the operation strategy according to real-time data; thus, it can more flexibly cope with different operation conditions, optimize the battery performance, and extend its service life;

[0135] The system adopts a phased adjustment and evaluation mechanism, including the second-order deviation monitoring after the initial adjustment and the final state re-inspection after the secondary adjustment; it ensures that each adjustment is based on the latest operation data, making the adjustment more accurate and effective;

[0136] When an abnormality is detected, the system can react quickly instead of simply issuing an alarm; it allows the operator to take timely measures to prevent small problems from evolving into major failures, thereby reducing the unplanned downtime and maintenance costs;

[0137] Through refined management and optimized adjustment strategies, it helps to improve the energy conversion efficiency of the Carnot battery, and thus enhance the power grid's ability to absorb renewable energy and promote the effective utilization of clean energy; the state re-inspection and alarm generation module ensures the stable operation of the system even under extreme conditions, and can immediately notify relevant personnel when problems occur, improving the safety and reliability of the entire power management system;

[0138] In summary, this monitoring system not only solves the problems of one-sidedness and lack of dynamic adjustment in the existing Carnot battery state monitoring methods, but also provides a solid foundation for improving the overall performance of the energy storage system.

[0139] The various variations and specific embodiments of the method for monitoring the state of a Carnot battery based on real-time data in the foregoing Embodiment 1 are equally applicable to the system for monitoring the state of a Carnot battery based on real-time data in this embodiment. Through the foregoing detailed description of the method for monitoring the state of a Carnot battery based on real-time data, those skilled in the art can clearly know the implementation method of the system for monitoring the state of a Carnot battery based on real-time data in this embodiment. Therefore, for the sake of brevity of the specification, it will not be elaborated herein.

[0140] In addition, the present application further provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored on the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected through the bus. When the computer program is executed by the processor, it implements each process of the method embodiment for controlling the output data, and can achieve the same technical effect. To avoid repetition, it will not be elaborated herein.

[0141] The foregoing is only the preferred embodiment of the present invention. It should be noted that for those of ordinary skill in the art, without departing from the technical principle of the present invention, several improvements and modifications can be made, and these improvements and modifications should also be regarded as the protection scope of the present invention.

Claims

1. A Carnot battery status monitoring method based on real-time data, characterized in that: The method comprises: In response to detecting that at least one operating state characteristic value during the operation of the Carnot battery is not within a corresponding preset standard characteristic range, collecting a set of external influencing factors of the Carnot battery; Considering the external influencing factor set and the first-order deviation of each of the operating state characteristic values, setting a first operating adjustment strategy; Adjusting the Carnot battery based on the first operation adjustment strategy, and monitoring the second-order deviation of each of the operating state characteristic values ​​after a first preset adjustment time; Considering the second-order deviation of each of the real-time state characteristic values ​​and the first preset adjustment time, setting a second operation adjustment strategy; The Kanot battery is adjusted based on the second operation adjustment strategy, and after the second preset adjustment time, it is monitored whether the operating state characteristic value is still not within the corresponding preset standard characteristic range; if so, an alarm message of abnormal operation of the Kanot battery is generated; if not, the operation strategy after the second operation adjustment strategy is maintained; The sum of the first preset adjustment time and the second preset adjustment time is equal to the maximum adjustment time allowed by the Kanot battery.

2. The Carnot battery status monitoring method based on real-time data according to claim 1, characterized in that: The operating state characteristic values ​​include molten salt temperature, molten salt pressure, molten salt flow, battery voltage and battery current; the set of external influencing factors includes ambient temperature, ambient humidity, vibration frequency, battery load and photovoltaic energy input stability.

3. The Carnot battery status monitoring method based on real-time data according to claim 1, characterized in that: Considering the external influencing factor set and the first-order deviation of each of the operating state characteristic values, a first operating adjustment strategy is set: For each operating state characteristic value and external influencing factor, the deviation between its actual value and the preset standard value is calculated respectively; The calculated deviation is normalized and standardized to obtain the first-order deviation; Assign weights to each external influencing factor; The first-order deviation of each operating state characteristic value is combined with the weight of the external influencing factors to calculate the comprehensive deviation; According to the comprehensive deviation and the first-order deviation, a first operation adjustment strategy is set.

4. The Carnot battery status monitoring method based on real-time data as claimed in claim 1, characterized in that: The method for setting the first preset adjustment time length includes: Assign a weight to the first-order deviation of each eigenvalue; According to the first-order deviation of each operating state characteristic value and the corresponding weight, the comprehensive first-order deviation is calculated; The maximum adjustment time allowed for the Carnot battery is determined based on the battery's design characteristics, operating experience, and safety requirements; According to the magnitude of the comprehensive first-order deviation, the difficulty of adjustment required to restore the battery state to the ideal state is evaluated; Within the maximum adjustment time, a first preset adjustment time is set according to the adjustment difficulty and the first-order deviation of each characteristic value.

5. The Carnot battery status monitoring method based on real-time data as claimed in claim 1, characterized in that: Considering the second-order deviation of each of the real-time state characteristic values ​​and the first preset adjustment time, a second operation adjustment strategy is set: Determining the adjustment direction of the second operation adjustment strategy based on the second-order deviation analysis and the first preset adjustment time; According to the adjustment direction, a second operation adjustment strategy is set; Taking into account the nonlinear characteristics of the battery and changes in external influencing factors, the second operation regulation strategy is optimized; Set up monitoring mechanisms to track the implementation and effectiveness of strategies in real time.

6. The Carnot battery status monitoring method based on real-time data according to claim 1, characterized in that: The Carnot battery is adjusted based on the second operation adjustment strategy, and after the second preset adjustment time, it is monitored whether the operating state characteristic value is still not within the corresponding preset standard characteristic range: automatically adjusting the operating state of the battery according to a second operating adjustment strategy; After the second preset adjustment time, the operating state characteristic value of the Carnot battery is monitored again to evaluate the effect of the second operation adjustment strategy; Determine whether the operating status characteristic value has returned to the preset standard characteristic range; If after adjustment by the second operation regulation strategy, there are still operation status characteristic values ​​that are not within the preset standard characteristic range, an alarm message indicating abnormal operation of the Carnot battery is generated; If not, the operation strategy after the second operation adjustment strategy is maintained.

7. The Carnot battery status monitoring method based on real-time data as claimed in claim 6, characterized in that: The method for setting the second preset adjustment time length includes: Determine the maximum conditioning time allowed for the Carnot battery; Subtracting the first preset adjustment time from the maximum adjustment time allowed by the Carnot battery to obtain a time window for the second adjustment; Determine an adjustment method according to the second-order deviation, wherein the adjustment method includes a key adjustment parameter and an adjustment intensity; Assess the impact of external factors on the mediation effect; Based on the time window of the second adjustment, the adjustment method and the influence of external influencing factors on the adjustment effect, a second preset adjustment duration is set.

8. A Carnot battery status monitoring system based on real-time data, characterized in that: The system comprises: An external factor acquisition module, in response to detecting that at least one operating state characteristic value of the Carnot battery is not within the corresponding preset standard characteristic range during operation, acquires a set of external influencing factors of the Carnot battery; the operating state characteristic values ​​include molten salt temperature, molten salt pressure, molten salt flow, battery voltage and battery current; the external influencing factor set includes ambient temperature, ambient humidity, vibration frequency, battery load and photovoltaic energy input stability; A first-order deviation analysis module, which considers the first-order deviation of the external influencing factor set and each of the operating state characteristic values ​​to set a first operating adjustment strategy; A second-order deviation monitoring module, which adjusts the Carnot battery based on the first operation adjustment strategy and monitors the second-order deviation of each of the operating state characteristic values ​​after a first preset adjustment time; A secondary adjustment strategy formulation module, which considers the second-order deviation of each of the real-time state characteristic values ​​and the first preset adjustment time to set a second operation adjustment strategy; The status review and alarm generation module adjusts the Kanot battery based on the second operation adjustment strategy, and monitors whether the operating status characteristic value is still not within the corresponding preset standard characteristic range after the second preset adjustment time; if so, an alarm message of abnormal operation of the Kanot battery is generated; if not, the operation strategy after the second operation adjustment strategy is maintained; wherein the sum of the first preset adjustment time and the second preset adjustment time is equal to the maximum adjustment time allowed by the Kanot battery.

9. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, wherein: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

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