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

Abstract

The present application 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 energy utilization efficiency and safety, and reduce maintenance cost; the method comprises the following steps: in response to detecting that at least one operating state characteristic value in the Carnot battery operation process is not in the corresponding preset standard characteristic range, collecting the external influence factor set of the Carnot battery; considering the first-order deviation degree of the external influence factor set and each operating state characteristic value, setting the first operation adjustment strategy; adjusting the Carnot battery based on the first operation adjustment strategy, and monitoring the second-order deviation degree of each operating state characteristic value after the first preset adjustment time; considering the second-order deviation degree of each real-time state characteristic value and the first preset adjustment time, setting the second operation adjustment strategy; adjusting the Carnot battery based on the second operation adjustment strategy.

Description

Technical Field

[0001] This invention relates to the technical field of power management, and in particular to a Carnot battery state monitoring method and system based on real-time data. Background Technology

[0002] With the continuous advancement of renewable energy technologies and the increasing demand for energy storage, Carnot batteries, as an innovative energy storage solution, convert excess electricity (such as curtailed electricity from photovoltaic or wind power) into thermal energy stored in high-temperature molten salt, and then convert it back into electrical energy when needed. This not only effectively utilizes intermittent renewable energy sources but also improves the grid's ability to absorb new energy sources, while providing new ways to retrofit and reuse old thermal power units.

[0003] Existing Carnot battery state monitoring methods often only focus on some operating state characteristics, such as focusing only on molten salt temperature while ignoring the interrelationships between other important parameters (such as battery voltage, current, and external factors). This one-sided monitoring method makes it difficult to fully grasp the actual operating status of the battery. At the same time, when abnormal battery operation is detected, it simply alarms without effective dynamic adjustment strategies. Even if there are adjustment strategies, they are 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 address the aforementioned technical problems, this invention provides a Carnot battery status monitoring method and system based on real-time data that can improve energy utilization efficiency and safety while reducing maintenance costs.

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

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

[0007] Considering the set of external influencing factors and the first-order deviation of each of the operational state characteristic values, a first operational adjustment strategy is set.

[0008] The Carnot battery is adjusted based on the first operation adjustment strategy, and the second-order deviation of each of the operation state characteristic values ​​is monitored after a first preset adjustment period.

[0009] Considering the second-order deviation of each of the real-time state feature values ​​and the first preset adjustment duration, a second operation adjustment strategy is set.

[0010] The Carnot battery is adjusted based on the second operation adjustment strategy, and after the second preset adjustment time, it is monitored whether there are still any operation status feature values ​​that are not within the corresponding preset standard feature range; if so, an alarm message for abnormal operation of the Carnot battery is generated; if not, the operation strategy after the second operation adjustment strategy is maintained.

[0011] 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 Cano battery.

[0012] Furthermore, the operating status 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 ambient temperature, ambient humidity, vibration frequency, battery load, and photovoltaic energy input stability.

[0013] Furthermore, considering the set of external influencing factors and the first-order deviation of each of the aforementioned operating state characteristic values, a first operating adjustment strategy is set:

[0014] For each operational state characteristic value and external influencing factor, calculate the deviation between its actual value and the preset standard value;

[0015] The calculated deviation is normalized and standardized to obtain the first-order deviation.

[0016] Assign weights to each external influencing factor;

[0017] The comprehensive deviation is calculated by combining the first-order deviation of each operational status characteristic value with the weight of external influencing factors.

[0018] Based on the overall deviation and the first-order deviation, the first operating adjustment strategy is set.

[0019] Furthermore, the method for setting the first preset adjustment duration includes:

[0020] Assign weights to the first-order deviation of each feature value;

[0021] Calculate the comprehensive first-order deviation based on the first-order deviation of each operational status characteristic value and its corresponding weight;

[0022] The maximum allowable adjustment time for a Carnot battery is determined based on its design characteristics, operational experience, and safety requirements.

[0023] Based on the magnitude of the comprehensive first-order deviation, assess the adjustment difficulty required to restore the battery state to the ideal state.

[0024] Within the maximum adjustment time, a first preset adjustment time is set based on the adjustment difficulty and the first-order deviation of each characteristic value.

[0025] Furthermore, considering the second-order deviation of each of the aforementioned real-time state feature values ​​and the first preset adjustment duration, a second operation adjustment strategy is set:

[0026] Based on the second-order deviation analysis and the consideration of the first preset adjustment time, the adjustment direction of the second operation adjustment strategy is determined;

[0027] Based on the adjustment direction, a second operational adjustment strategy is set;

[0028] Considering the nonlinear characteristics of the battery and changes in external influencing factors, the second operation adjustment strategy is optimized;

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

[0030] Furthermore, the Carnot battery is adjusted based on the second operation adjustment strategy, and after a second preset adjustment period, it is monitored whether the operation state characteristic value is still outside the corresponding preset standard characteristic range:

[0031] The battery's operating status is automatically adjusted according to the second operating adjustment strategy;

[0032] After the second preset adjustment period, the operating status characteristics of the Carnot battery are monitored again to evaluate the effect of the second operating adjustment strategy.

[0033] Determine whether the operating status characteristic values ​​have returned to the preset standard characteristic range;

[0034] If, after adjustment by the second operation regulation strategy, there are still operating status characteristic values ​​that are not within the preset standard characteristic range, an alarm message indicating abnormal operation of the Carnot battery will be generated.

[0035] If it does not exist, then maintain the operating strategy after the second operating adjustment strategy.

[0036] Furthermore, the method for setting the second preset adjustment duration includes:

[0037] Determine the maximum allowable regulation time for the Carnot battery;

[0038] Subtract the first preset adjustment time from the maximum adjustment time allowed by the Cano battery to obtain the time window for the second adjustment;

[0039] The adjustment method is determined based on the second-order deviation, and the adjustment method includes the parameters to be adjusted and the adjustment intensity.

[0040] Assess the impact of external influencing factors on the effectiveness of the regulation;

[0041] Based on the time window, adjustment method, and influence of external factors on the adjustment effect of the second adjustment, a second preset adjustment duration is set.

[0042] On the other hand, this application also provides a Carnot battery state monitoring system based on real-time data, the system comprising:

[0043] The 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 a set of external influencing factors for 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 ambient temperature, ambient humidity, vibration frequency, battery load, and photovoltaic energy input stability;

[0044] The first-order deviation analysis module considers the set of external influencing factors and the first-order deviation of each of the operating state characteristic values, and sets a first operating adjustment strategy.

[0045] 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 feature values ​​after a first preset adjustment period.

[0046] The secondary adjustment strategy formulation module considers the second-order deviation of each of the real-time state feature values ​​and the first preset adjustment duration to set a second operation adjustment strategy.

[0047] The status re-check and alarm generation module adjusts the Carnot battery based on the second operation adjustment strategy, and monitors whether the operation status feature value is still not within the corresponding preset standard feature range after the second preset adjustment time. If it exists, an alarm message for abnormal operation of the Carnot battery is generated. If it does not exist, 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 for the Carnot battery.

[0048] Thirdly, this application provides an electronic device including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any of the methods described above.

[0049] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the methods described above.

[0050] Compared with existing technologies, the beneficial effects of this invention are as follows: This method not only focuses on the single characteristic value of molten salt temperature, but also comprehensively considers multiple operating state characteristic values ​​and introduces multiple external influencing factors, which can more accurately reflect the actual operating state of the Carnot battery and improve the accuracy and reliability of monitoring; the method introduces a dynamic adjustment strategy based on first-order and second-order deviations; when the operating state characteristic value is detected to deviate from the preset standard, it can quickly respond and collect external influencing factors, and set the adjustment strategy according to the deviation; through real-time monitoring and dynamic adjustment, it ensures that the Carnot battery operates in the optimal state, avoiding prolonged unstable states or missing the optimal adjustment opportunity; after two adjustments, if the characteristic value still has not returned to normal, the system will generate an alarm message; this helps to promptly discover and handle potential problems, prevent further deterioration of problems, and reduce the possibility of failure; the adjustment strategy in the method is dynamically set according to real-time data and can be adjusted according to the actual situation; this allows 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 optimal condition, thereby improving energy storage and conversion efficiency; at the same time, timely detection and handling of potential problems also helps to improve system security and reduce the impact of faults on the power grid.

[0052] Timely warning and adjustment strategies can help reduce downtime and maintenance costs caused by battery failures; by optimizing operating strategies, battery life can also be extended, further reducing maintenance costs.

[0053] In summary, this Carnot battery state monitoring method based on real-time data has multiple advantages, including comprehensiveness and integration, dynamic adjustment and real-time monitoring, early warning and emergency response mechanisms, flexibility and adaptability, improved energy utilization efficiency and safety, and reduced maintenance costs. Attached Figure Description

[0054] Figure 1 This is a flowchart of the present invention;

[0055] Figure 2 This is a flowchart of the method for setting the first preset adjustment duration;

[0056] Figure 3 This is a structural diagram of a Carnot battery state monitoring system based on real-time data. Detailed Implementation

[0057] As will be apparent to those skilled in the art from the description of this application, this application can be implemented as a method, apparatus, electronic device, and computer-readable storage medium. Therefore, this application can be specifically implemented in the following forms: entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software. Furthermore, in some embodiments, this application can also be implemented as a computer program product contained in one or more computer-readable storage media, which includes computer program code.

[0058] The aforementioned computer-readable storage medium may be any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, flash memory, optical fiber, optical disc read-only memory, optical storage devices, magnetic storage devices, or any combination thereof. In this application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0059] The acquisition, storage, use, and processing of data in this application all comply with relevant national laws and regulations.

[0060] This application describes the provided methods, apparatus, and electronic devices using flowcharts and / or block diagrams.

[0061] It should be understood that each block of a flowchart and / or block diagram, as well as combinations of blocks in a flowchart and / or block diagram, can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine that, when executed by a computer or other programmable data processing apparatus, creates means for implementing the functions / operations specified in the blocks of the flowchart and / or block diagram.

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

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

[0064] This application will now be described with reference to the accompanying drawings.

[0065] Example 1: As Figures 1 to 2 As shown, the Carnot battery state monitoring method 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 of the Carnot battery is not within the corresponding preset standard characteristic range during operation, collect the set of external influencing factors of the Carnot battery;

[0067] The operating status characteristic values ​​include:

[0068] Molten salt temperature: Molten salt temperature is a core parameter in the energy storage and release process of Carnot batteries; excessively high temperatures can lead to molten salt decomposition or equipment damage, while excessively low temperatures will affect energy storage efficiency; therefore, real-time monitoring of molten salt temperature is fundamental to ensuring stable battery operation.

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

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

[0071] Battery voltage: Battery voltage is a direct indicator of power output; abnormal voltage can lead to unstable power output or equipment damage, so real-time monitoring is necessary.

[0072] Battery current: Battery current reflects the charge and discharge state of the battery; excessive current can cause the battery to overheat or be damaged, while insufficient current will affect energy storage efficiency; real-time monitoring of current helps ensure the safe operation of the battery.

[0073] During operation, the various operating status characteristics of a Carnot battery are important indicators reflecting its working status; when any one or more of these characteristics 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 ambient temperature affect the thermal energy storage and conversion efficiency of Carnot batteries;

[0076] Ambient humidity: Excessive humidity may cause the electrical components inside the battery to become damp, thereby affecting its performance;

[0077] Vibration frequency: During operation, Carnot batteries may be affected by vibrations from the external environment. Excessive vibration frequency may cause the internal mechanical structure of the battery to loosen or be damaged.

[0078] Battery load: The size of the battery load directly affects the discharge performance and lifespan of the Carnot battery; excessive load may cause the battery to overheat or over-discharge, thereby damaging the battery.

[0079] Photovoltaic energy input stability: Since Carnot cells are often used to store abandoned electricity from photovoltaic or wind power, the input stability of photovoltaic energy is also an important factor affecting the operating status of Carnot cells; unstable input can lead to reduced thermal energy storage efficiency or battery damage during the charging process.

[0080] In this step, by real-time monitoring of key operational status characteristics of the Carnot battery, the system can respond immediately and issue timely warnings once these characteristics deviate from the preset standard range. This helps prevent performance degradation or equipment damage caused by prolonged abnormal operation, thereby extending battery life. By collecting a set of external influencing factors for the Carnot battery, the system can more accurately pinpoint the specific causes of abnormal battery operation. This helps maintenance personnel quickly develop targeted solutions, improving the efficiency and accuracy of problem handling. Real-time monitoring and data analysis help maintenance personnel understand the performance of the Carnot battery under different operating conditions, allowing them to adjust operations accordingly. This strategy optimizes system performance; it adjusts battery operating parameters based on changes in ambient temperature and humidity to improve thermal energy storage and conversion efficiency; it adjusts battery charging strategies based on changes in photovoltaic energy input stability to avoid battery damage caused by unstable input; by monitoring battery operating status and external influencing factors in real time, the system can promptly detect potential safety hazards and take timely measures to prevent safety accidents; it helps ensure the safety and stability of battery operation and reduces operation and maintenance risks; this step achieves accurate monitoring and early warning of battery operating status by monitoring the operating status characteristics of the Carnot battery and external influencing factors in real time, which helps optimize system operation, improve safety, and extend battery life.

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

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

[0083] The calculated deviation is normalized and standardized to obtain the first-order deviation, which facilitates comparison and comprehensive analysis between different eigenvalues.

[0084] Weights are assigned to each external influencing factor to reflect their degree of influence on the characteristic values ​​of the operating status;

[0085] The comprehensive deviation is calculated by combining the first-order deviation of each operational status characteristic value with the weight of external influencing factors.

[0086] Based on the overall deviation and the first-order deviation, a first operating adjustment strategy is set; based on the magnitude of the overall deviation, the priority of the adjustment strategy is determined; the greater the overall deviation, the higher the priority of the adjustment strategy.

[0087] In this step, by calculating the first-order deviation of each operating state characteristic value and external influencing factors, and combining it with weights for comprehensive analysis, this step can comprehensively consider multiple key factors in the operation of the Carnot battery, improving the accuracy of monitoring and adjustment. Normalization and standardization of deviations enable 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 and the comprehensive deviation, ensuring that the adjustment strategy is formulated based on scientific analysis of real-time data. The priority of the adjustment strategy is determined by the magnitude of the comprehensive deviation, enabling it to be implemented effectively in situations of limited resources or emergencies. Prioritizing the resolution of the most critical issues improves the rationality and effectiveness of the adjustment strategy. By monitoring operational status characteristics and external influencing factors in real time, and promptly setting adjustment strategies when the first-order deviation exceeds the preset range, this step can promptly detect and respond to abnormal situations in Carnot battery operation, enhancing system stability. By comprehensively considering multiple factors and setting clearly prioritized adjustment strategies, this step can also prevent potential operational risks, improving system safety. This step enhances the comprehensiveness and accuracy of monitoring and adjustment in Carnot battery state monitoring and adjustment methods, ensuring the scientific and rational nature of the adjustment strategy, enhancing system stability and safety, and improving adaptability and flexibility.

[0088] S3. Adjust the Carnot battery based on the first operation adjustment strategy, and monitor the second-order deviation of each of the operation state characteristic values ​​after a first preset adjustment time.

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

[0090] Immediately after the first preset adjustment period ends, collect the characteristic values ​​of each operating state of the Carnot battery;

[0091] Using a method similar to that used to calculate the first-order deviation, the deviation between the actual values ​​of these eigenvalues ​​and the preset standard values ​​is calculated, and then normalized and standardized to obtain the second-order deviation.

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

[0093] Since different operating state characteristic values ​​have different degrees of influence on the overall operating status of the Carnot battery, a weight needs to be assigned to the first-order deviation of each characteristic value;

[0094] The comprehensive first-order deviation is calculated based on the first-order deviation of each operating state characteristic value and its corresponding weight; the comprehensive first-order deviation reflects the overall gap between the current operating state and the ideal state of the Carnot battery.

[0095] The maximum allowable adjustment time for a Carnot battery is determined based on its design characteristics, operational experience, and safety requirements.

[0096] The adjustment difficulty required to restore the battery state to the ideal state is assessed based on the magnitude of the first-order deviation. The greater the deviation, the greater the adjustment difficulty and the longer the time required.

[0097] Within the maximum adjustment time, the adjustment time is reasonably allocated according to the adjustment difficulty and the first-order deviation of each characteristic value, and a first preset adjustment time is set. This time should be neither too long nor too short, ensuring that there is enough 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 period, real-time monitoring of the battery's operating state is achieved. This enables the system to promptly detect and respond to abnormal situations during battery operation, thereby adopting dynamic adjustment strategies to ensure stable battery operation. 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. This helps the system accurately determine whether the adjustment measures are effective and whether further adjustments are needed. The method for setting the first preset adjustment period fully considers the impact of different operating state characteristic values ​​on the overall battery. The impact of operational conditions and the difficulty of adjusting to restore the battery to its ideal state ensure both sufficient adjustment and avoidance of wasted time and resources. Real-time monitoring and dynamic adjustment help reduce the risk of Carnot batteries being in an unstable state for extended periods, thereby improving system stability and safety. Simultaneously, reasonable adjustment time allocation avoids potential damage to the battery caused by improper adjustment. Accurate evaluation of adjustment effects and timely adjustment of adjustment strategies help optimize the energy utilization efficiency of Carnot batteries. This not only improves the absorption capacity of renewable energy but also provides new avenues for the retrofitting and reuse of aging thermal power units, thus promoting the sustainable development of the energy industry.

[0099] S4. Considering the second-order deviation of each of the real-time state feature values ​​and the first preset adjustment duration, set a second operation adjustment strategy;

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

[0101] Based on the adjustment direction, measures for setting the second operation adjustment strategy are implemented, including adjustment parameters, adjustment step size, adjustment frequency, etc.

[0102] Considering the nonlinear characteristics of the battery and changes in external influencing factors, the second operation adjustment strategy is optimized to ensure its effectiveness and stability in actual operation; a detailed implementation plan is formulated, clarifying the adjustment steps, time nodes, responsible persons, etc.

[0103] Establish a monitoring mechanism to track the execution and effectiveness of the strategy in real time, so as to make timely adjustments and optimizations.

[0104] In this step, by deeply analyzing the second-order deviation, step S4 can accurately identify characteristic values ​​in the Carnot battery's operating state that still deviate from the preset standard, thereby taking targeted adjustment measures. This not only improves the response speed but also effectively avoids unnecessary resource waste. Considering the first preset adjustment time, step S4 can dynamically adjust the second operating adjustment strategy, ensuring that the adjustment measures are neither too aggressive nor too conservative. More aggressive adjustments are made for characteristic values ​​with large deviations, while the adjustment intensity is appropriately reduced for characteristic values ​​that are close to the standard, helping the battery to quickly and smoothly recover to its optimal operating state. This step not only sets specific adjustment measures but also considers the battery's nonlinear characteristics and changes in external influencing factors, optimizing the strategy and ensuring the effectiveness of the adjustment strategy. The effectiveness and stability of the system in actual operation reduce the risk of battery failure due to misadjustment or overadjustment; the detailed implementation plan clarifies the adjustment steps, time nodes, and responsible persons, which helps ensure the efficient execution of the adjustment strategy; at the same time, clear responsibilities also help to quickly locate and resolve problems when they occur, improving overall management efficiency and emergency response capabilities; the establishment of a monitoring mechanism tracks the implementation status and effects of the strategy in real time, providing data support for timely adjustments and optimizations; it ensures that the Carnot battery can continuously maintain optimal operating conditions, improving its reliability and service life; the S4 steps, through efforts in precise adjustment, dynamic adaptation, strategy optimization, implementation plan formulation, and monitoring mechanism establishment, significantly improve the efficiency and effectiveness of Carnot battery condition monitoring and adjustment.

[0105] S5. Adjust the Carnot battery based on the second operation adjustment strategy, and monitor whether the operation state characteristic value is still not within the corresponding preset standard characteristic range after the second preset adjustment time; if it exists, generate alarm information for abnormal operation of the Carnot battery; if it does not exist, maintain the operation strategy after the second operation adjustment strategy.

[0106] Through the automated control system, the specific parameters of the second operation adjustment strategy are input into the management system of the Carnot battery, and the system automatically adjusts the battery's operating status based on these parameters.

[0107] After the second preset adjustment period, the operating status characteristics of the Carnot battery, such as molten salt temperature, molten salt pressure, molten salt flow rate, battery voltage, and battery current, are monitored again to evaluate the effect of the second operating adjustment strategy.

[0108] Determine whether these feature values ​​have regressed to the preset standard feature range;

[0109] If, after adjustments to the second operational regulation strategy, the operational status characteristic values ​​are still outside the preset standard characteristic range, this indicates that the Carnot battery has a relatively serious operational problem or fault. At this time, the system will generate an alarm message for operational anomalies, notifying maintenance personnel or the automation system to take further diagnostic and handling measures.

[0110] If all characteristic values ​​have returned to the preset range, it indicates that the second operation adjustment strategy is effective. The system will maintain the current operation strategy and continue to monitor the battery's operating status to ensure its continuous and stable operation.

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

[0112] Confirm the maximum allowable adjustment time for the Carnot battery; the maximum adjustment time 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 time from the maximum adjustment time allowed by the Carnot battery to obtain the time window that can be used for the second adjustment;

[0114] Based on the second-order deviation of various operational status characteristic values, determine which parameters still exceed the preset standard range, or which, although improved, have not yet reached the ideal state. For characteristic values ​​with large second-order deviations, more aggressive adjustments are needed; while for characteristic values ​​that are close to the preset standard range, the adjustment intensity should be appropriately reduced.

[0115] Taking into account 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 monitoring system performance in real time, the second preset adjustment time is dynamically adjusted according to the actual situation to ensure that it adapts to specific operating conditions.

[0117] Based on the above analysis results, the remaining time should be reasonably allocated as the second 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.

[0118] In this step, a second operational adjustment strategy based on real-time data is used to dynamically adjust the operating state of the Carnot battery. This strategy considers not only the battery's internal operating state characteristics but also external influencing factors, enabling a more accurate assessment of the battery's operating state and the implementation of corresponding adjustment measures. Simultaneously, a real-time monitoring mechanism ensures continuous tracking of the battery's state, providing reliable data support for subsequent decision-making. The method for setting the second preset adjustment duration fully considers the characteristics of the Carnot battery, external influencing factors, and historical data and experience, ensuring the rationality and effectiveness of the adjustment duration. By rationally allocating the remaining time as the second preset adjustment duration, sufficient time for necessary adjustments is ensured while avoiding wasted time and resources. This refined time management improves the efficiency and accuracy of the adjustment, helping the battery quickly recover to a stable state. This step, through real-time monitoring and... Dynamic adjustment ensures that the Carnot battery can promptly detect and handle abnormal situations during operation. When battery status characteristics exceed preset standard ranges, the system generates alarm information for operational anomalies, notifying maintenance personnel or automated systems to take further diagnostic and handling measures. This helps to identify and resolve potential safety hazards in advance, thereby enhancing system stability and security. Through the implementation of this step, maintenance personnel can more accurately understand the operating status of the Carnot battery and formulate more reasonable maintenance strategies based on actual conditions. This helps to reduce unnecessary maintenance frequency and costs, and improve maintenance efficiency. At the same time, through real-time monitoring and early warning mechanisms, battery faults can be detected and handled in a timely manner, avoiding greater losses caused by the escalation of faults. This step, by optimizing the Carnot battery's operating status monitoring and adjustment methods, helps to improve its operating efficiency and stability, thereby further promoting the utilization and development of renewable energy.

[0119] S6, 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 Cano battery;

[0120] The maximum adjustment time refers to the maximum time that a Carnot battery is allowed to adjust under abnormal operating conditions; exceeding this time will cause the battery to be in an unstable state for a long time, resulting in performance degradation or safety hazards.

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

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

[0123] If the battery condition is significantly improved and approaches the preset standard characteristic range within the first preset adjustment time, the second preset adjustment time should be appropriately shortened; otherwise, if the improvement is not significant or the condition continues to deteriorate, the second preset adjustment time should be extended or the adjustment strategy should be adjusted.

[0124] The dynamic adjustment mechanism ensures that the adjustment process is neither too long nor too short, thereby achieving the best adjustment effect while ensuring battery safety.

[0125] Setting the maximum adjustment time is not only a time limit for the battery status adjustment process, but also a guarantee for battery safety. It ensures that maintenance personnel have enough time to respond and handle battery faults, and also avoids battery damage or safety accidents caused by prolonged abnormal states.

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

[0127] In this step, by setting a maximum adjustment time, the allowable adjustment time for the Carnot battery under abnormal conditions is limited, thereby avoiding performance degradation or safety hazards caused by prolonged instability. This not only provides maintenance personnel with a time limit for handling battery faults but also ensures battery safety throughout the adjustment process. The maximum adjustment time serves as an important reference for maintenance personnel to formulate adjustment plans and evaluate adjustment effects, helping them to rationally plan and allocate adjustment time, achieving precise control and optimized management of battery status. This not only improves the efficiency of maintenance work but also enhances battery performance and lifespan. The setting in step S6 that the sum of the first and second preset adjustment times equals the maximum allowable adjustment time for the Carnot battery is crucial for ensuring the safe, effective, and efficient completion of the battery status adjustment process. By rationally planning and dynamically adjusting the adjustment time, precise control and optimized management of battery status can be achieved, further improving the operating efficiency and safety of the Carnot battery.

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

[0129] The 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 a set of external influencing factors for 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 ambient temperature, ambient humidity, vibration frequency, battery load, and photovoltaic energy input stability;

[0130] The first-order deviation analysis module considers the set of external influencing factors and the first-order deviation of each of the operating state characteristic values, and sets a first operating 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 feature values ​​after a first preset adjustment period.

[0132] The secondary adjustment strategy formulation module considers the second-order deviation of each of the real-time state feature values ​​and the first preset adjustment duration to set a second operation adjustment strategy.

[0133] The status re-check and alarm generation module adjusts the Carnot battery based on the second operation adjustment strategy, and monitors whether the operation status feature value is still not within the corresponding preset standard feature range after the second preset adjustment time. If it exists, an alarm message for abnormal operation of the Carnot battery is generated. If it does not exist, 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 for the Carnot battery.

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

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

[0136] When an anomaly is detected, the system can react quickly rather than simply issuing an alarm; it allows operators to take timely measures to prevent small problems from escalating into major failures, thereby reducing unplanned downtime and maintenance costs.

[0137] Through refined management and optimized regulation strategies, the energy conversion efficiency of the Carnot battery can be improved, thereby enhancing the grid's ability to absorb renewable energy and promoting the effective use of clean energy. The status review and alarm generation module ensures that the system can maintain stable operation even under extreme conditions, and can immediately notify relevant personnel when problems occur, thus 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 existing Carnot battery state monitoring methods, but also provides a solid foundation for improving the overall performance of energy storage systems.

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

[0140] In addition, this application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via the bus. When the computer program is executed by the processor, it implements the various processes of the above-described method embodiment for controlling output data and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0141] The above description is only a preferred embodiment of the present invention. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the technical principles of the present invention, and these improvements and modifications should also be considered within the scope of protection of the present invention.

Claims

1. A method for monitoring the state of a Carnot battery based on real-time data, characterized in that, The method includes: In response to the detection that at least one operating state characteristic value of the Carnot battery is not within the corresponding preset standard characteristic range during operation, a set of external influencing factors of the Carnot battery is collected; 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 ambient temperature, ambient humidity, vibration frequency, battery load, and photovoltaic energy input stability; Considering the set of external influencing factors and the first-order deviation of each of the operational state characteristic values, a first operational adjustment strategy is set, including: for each operational state characteristic value and external influencing factor, calculating the deviation between its actual value and a preset standard value; normalizing and standardizing the calculated deviation to obtain the first-order deviation; assigning weights to each external influencing factor; combining the first-order deviation of each operational state characteristic value with the weights of the external influencing factors to calculate the comprehensive deviation; and setting the first operational adjustment strategy based on the comprehensive deviation and the first-order deviation. The Carnot battery is adjusted based on the first operation adjustment strategy, and the second-order deviation of each of the operation state characteristic values ​​is monitored after a first preset adjustment period. Considering the second-order deviation of each of the aforementioned operating state characteristic values ​​and the first preset adjustment duration, a second operating adjustment strategy is set. The Carnot battery is adjusted based on the second operation adjustment strategy, and after the second preset adjustment time, it is monitored whether there are still any operation status feature values ​​that are not within the corresponding preset standard feature range; if so, an alarm message for abnormal operation of the Carnot 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 Cano battery.

2. The Carnot battery state monitoring method based on real-time data as described in claim 1, characterized in that, The method for setting the first preset adjustment duration includes: Assign weights to the first-order deviation of each feature value; Calculate the comprehensive first-order deviation based on the first-order deviation of each operational status characteristic value and its corresponding weight; The maximum allowable adjustment time for a Carnot battery is determined based on its design characteristics, operational experience, and safety requirements. Based on the magnitude of the comprehensive first-order deviation, assess the adjustment difficulty required to restore the battery state to the ideal state. Within the maximum adjustment time, a first preset adjustment time is set based on the adjustment difficulty and the first-order deviation of each characteristic value.

3. The Carnot battery state monitoring method based on real-time data as described in claim 1, characterized in that, Considering the second-order deviation of each of the real-time state feature values ​​and the first preset adjustment duration, a second operation adjustment strategy is set: Based on the second-order deviation analysis and the consideration of the first preset adjustment time, the adjustment direction of the second operation adjustment strategy is determined; Based on the adjustment direction, a second operational adjustment strategy is set; Considering the nonlinear characteristics of the battery and changes in external influencing factors, the second operation adjustment strategy is optimized; Set up a monitoring mechanism to track the execution and effectiveness of the strategy in real time.

4. The Carnot battery state monitoring method based on real-time data as described in claim 1, characterized in that, The Carnot battery is adjusted based on the second operation adjustment strategy, and after a second preset adjustment period, it is monitored whether the operation state characteristic value is still outside the corresponding preset standard characteristic range: The battery's operating status is automatically adjusted according to the second operating adjustment strategy; After the second preset adjustment period, the operating status characteristics of the Carnot battery are monitored again to evaluate the effect of the second operating adjustment strategy. Determine whether the operating status characteristic values ​​have returned to the preset standard characteristic range; If, after adjustment by the second operation regulation strategy, there are still operating status characteristic values ​​that are not within the preset standard characteristic range, an alarm message indicating abnormal operation of the Carnot battery will be generated. If it does not exist, then maintain the operating strategy after the second operating adjustment strategy.

5. The Carnot battery state monitoring method based on real-time data as described in claim 4, characterized in that, The method for setting the second preset adjustment duration includes: Determine the maximum allowable regulation time for the Carnot battery; Subtract the first preset adjustment time from the maximum adjustment time allowed by the Cano battery to obtain the time window for the second adjustment; The adjustment method is determined based on the second-order deviation, and the adjustment method includes the parameters to be adjusted and the adjustment intensity. Assess the impact of external influencing factors on the effectiveness of the regulation; Based on the time window, adjustment method, and influence of external factors on the adjustment effect of the second adjustment, a second preset adjustment duration is set.

6. A Carnot battery state monitoring system based on real-time data, wherein the system is applied to the Carnot battery state monitoring method based on real-time data as described in claim 1, characterized in that, The system includes: The 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 a set of external influencing factors for 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 ambient temperature, ambient humidity, vibration frequency, battery load, and photovoltaic energy input stability; The first-order deviation analysis module considers the set of external influencing factors and the first-order deviation of each of the operating state characteristic values, and sets a first operating adjustment strategy. 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 feature values ​​after a first preset adjustment period. The secondary adjustment strategy formulation module considers the second-order deviation of each of the aforementioned operating state characteristic values ​​and the first preset adjustment duration to set a second operating adjustment strategy. The status re-check and alarm generation module adjusts the Carnot battery based on the second operation adjustment strategy, and monitors whether the operation status feature value is still not within the corresponding preset standard feature range after the second preset adjustment time. If it exists, an alarm message for abnormal operation of the Carnot battery is generated. If it does not exist, 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 for the Carnot battery.

7. 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, characterized in that, When the computer program is executed by the processor, it implements the steps of the method as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1-5.

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