An intelligent control system for energy storage batteries based on optical fiber

Abstract

The present invention belongs to the technical field of temperature control of energy storage batteries, and discloses an intelligent control system for energy storage batteries based on optical fiber, including a monitoring point layout module, a temperature influencing factor correction analysis module, an operating temperature anomaly analysis module, a ceramic tube outer wall data analysis module, an energy storage battery abnormality identification module, and a temperature control module. The present invention uses an optical fiber temperature sensor to collect the temperature of each monitoring point when performing temperature anomaly analysis of sodium salt energy storage batteries. The optical fiber temperature sensor has high sensitivity and high precision, can keenly capture small temperature changes, and provide accurate data for judging battery temperature anomalies. The present invention performs temperature control risk judgment before performing temperature control of the target sodium salt energy storage battery, which enhances the pertinence and effectiveness of temperature control. The safety and reliability of the system are improved. By discovering problems in advance and handling them in a timely manner, the damage to the battery caused by temperature anomalies can be reduced, and the cost of repairing and replacing batteries can be reduced.

Description

Technical Field

[0001] The invention belongs to the technical field of energy storage battery temperature control and relates to an energy storage battery intelligent control system based on optical fiber. Background Art

[0002] Sodium salt energy storage battery is a battery that uses sodium salt (such as sodium sulfur, sodium nickel, sodium zinc) as positive and negative energy storage materials. It belongs to the category of flow batteries and can store and release energy. The performance and life of sodium salt energy storage batteries are greatly affected by temperature. Too high or too low temperature may cause battery performance to decline or even damage the battery. Electromagnetic interference and chemical corrosion of sodium salt energy storage batteries may affect the accuracy and adaptability of the temperature control process. Therefore, the research on fiber-based intelligent control of energy storage batteries is of great significance.

[0003] In the prior art, there are also related solutions for temperature control of sodium salt energy storage batteries. For example, a Chinese invention patent application for a temperature field control system of a sodium-sulfur battery module insulation box with publication number CN103840231B comprises: a sodium-sulfur battery module insulation box surrounded by a bottom plate, two side walls, two end walls and a box cover is divided into four insulation chambers arranged in a two-row and two-column matrix by long insulation plates and short insulation plates, and each insulation chamber uses a bottom heating plate and a single side heating plate. The technical effect is that it can ensure that the temperature difference between any two points in the sodium-sulfur battery module insulation box is controlled within 30°C, and is particularly suitable for a 25kW sodium-sulfur battery module insulation box.

[0004] In addition, a Chinese invention patent application for a sodium-sulfur battery cooling method with publication number CN103490118B is specifically as follows: a heating device is provided on the top of the sodium-sulfur battery, which is the top temperature control zone. A heating device is provided on the bottom of the sodium-sulfur battery, which is the bottom temperature control zone. The sodium-sulfur battery is divided into 1-4 layers from top to bottom, which are the surrounding temperature control zones, each of which is provided with an independent heating device, and then cooled in sequence. This method divides the sodium-sulfur battery module into multiple temperature control zones, controls the order and speed of cooling of each temperature control zone by temperature segment, reduces the impact of the cooling process on the single cell, avoids the problem of forced charging and discharging between batteries caused by large temperature gradients in the critical temperature segment, and avoids the problem of stress on ceramics and welds caused by local expansion inside the single cell, thereby improving the safety and efficiency of battery cooling.

[0005] Although the above scheme proposes some solutions for the temperature control of sodium salt energy storage batteries, it still has certain limitations: on the one hand, the existing sodium salt energy storage battery temperature control ignores the specific analysis of the causes of temperature abnormalities when determining temperature abnormalities, and does not judge whether there are temperature control risks for different abnormal causes. This analysis method cannot determine whether there are temperature control risks, which may lead to serious faults such as internal short circuits, leakage, and even explosions in the battery, posing huge safety risks to equipment and personnel.

[0006] On the other hand, the existing sodium salt energy storage battery temperature control usually uses temperature sensors when monitoring battery temperature, without considering that general temperature sensors may be affected by factors such as specific electromagnetic induction and chemical corrosion of energy storage batteries, causing temperature acquisition anomalies. This analysis method may cause the temperature value displayed by the temperature sensor to deviate from the actual battery temperature, which will affect the accurate judgment of the battery temperature status, and may lead to erroneous temperature control decisions. Summary of the invention

[0007] In view of this, in order to solve the problems raised in the above background technology, an optical fiber-based energy storage battery intelligent control system is proposed.

[0008] The purpose of the present invention can be achieved through the following technical solutions: an optical fiber-based energy storage battery intelligent control system, comprising: a monitoring point layout module, which is used to carve a surrounding groove on the outer wall of the ceramic tube of the target sodium salt energy storage battery, lay optical fibers in the groove, and then lay out a number of monitoring points based on equal intervals.

[0009] The temperature influencing factor correction analysis module is used to collect temperature influencing factor data of the target sodium salt energy storage battery, obtain the temperature influencing factor data of the target sodium salt energy storage battery, and analyze the temperature influencing factor correction status of the target sodium salt energy storage battery.

[0010] The operating temperature anomaly analysis module is used to deploy temperature sensors at each monitoring point of the target sodium salt energy storage battery, obtain the temperature of each monitoring point, analyze the temperature anomaly of each monitoring point of the target sodium salt energy storage battery, and determine whether the target sodium salt energy storage battery has an abnormal temperature state.

[0011] The ceramic tube outer wall data analysis module is used to deploy a combined sensor at each monitoring point of the target sodium salt energy storage battery. The combined sensor is composed of a fiber optic interference sensor and a hydrogen sulfide gas sensor to analyze the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery.

[0012] The energy storage battery abnormality identification module is used to determine whether the target sodium salt energy storage battery has a battery temperature control risk based on the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery. If so, the specific abnormal direction is further identified and an early warning is issued. The abnormal direction includes sealing abnormality and negative pressure abnormality. If not, the temperature control module is executed.

[0013] The temperature control module is used to perform temperature control when it is determined that the target sodium salt energy storage battery does not have a battery temperature control risk, and identify specific temperature control directions, which include heating and cooling.

[0014] Compared with the prior art, the present invention has the following beneficial effects: (1) The present invention uses an optical fiber temperature sensor to collect the temperature of each monitoring point when analyzing the temperature anomaly of a sodium salt energy storage battery. The optical fiber temperature sensor operates stably in the strong electromagnetic field environment generated by battery charging and discharging due to its anti-electromagnetic interference characteristics, and accurately measures the temperature without interference. The corrosion-resistant material enables it to work reliably for a long time in the corrosive electrolyte environment inside the battery. It has high sensitivity and high precision, can keenly capture tiny temperature changes, and provide accurate data for judging battery temperature anomalies.

[0015] (2) The present invention conducts a temperature control risk assessment before controlling the target sodium salt energy storage battery temperature. This analysis method enhances the pertinence and effectiveness of temperature control. By assessing the temperature control risk in advance, we can gain an in-depth understanding of the impact of different factors on the battery temperature, thereby developing a more accurate temperature control strategy. This improves the safety and reliability of the system. The temperature control risk assessment can promptly detect potential safety hazards, such as abnormal temperature risks caused by factors such as excessively high external ambient temperature and internal battery failure. By detecting problems in advance and handling them in a timely manner, we can reduce the damage to the battery caused by abnormal temperature and reduce the cost of repairing and replacing the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0017] Figure 1 It is a schematic diagram of the connection of each module of the system of the present invention.

[0018] Figure 2 This is a schematic diagram of the optical fiber layout of the present invention.

[0019] Figure numerals: 1--ceramic tube, 2--groove. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides an optical fiber-based energy storage battery intelligent control system, including a monitoring point layout module, a temperature influencing factor correction analysis module, an operating temperature abnormality analysis module, a ceramic tube outer wall data analysis module, an energy storage battery abnormality recognition module and a temperature control module, wherein the monitoring point layout module is respectively connected to the temperature influencing factor correction analysis module, the operating temperature abnormality analysis module and the ceramic tube outer wall data analysis module, the temperature influencing factor correction analysis module is connected to the operating temperature abnormality analysis module, the ceramic tube outer wall data analysis module is connected to the energy storage battery abnormality recognition module, and the energy storage battery abnormality recognition module is connected to the temperature control module.

[0022] See also Figure 2 As shown, the monitoring point layout module is used to carve a surrounding groove on the outer wall of the ceramic tube of the target sodium salt energy storage battery, lay optical fibers in the groove, and then lay out a number of monitoring points based on equidistant distances.

[0023] The temperature influencing factor correction analysis module is used to collect temperature influencing factor data of the target sodium salt energy storage battery, obtain the temperature influencing factor data of the target sodium salt energy storage battery, and analyze the temperature influencing factor correction status of the target sodium salt energy storage battery.

[0024] It should be noted that the temperature influencing factor data specifically include ambient temperature, ambient wind speed and cooling fan speed, which are obtained through pre-set optical fiber temperature sensors, wind speed sensors and speed sensors respectively.

[0025] It should be explained that the reasons for selecting ambient temperature, ambient wind speed and cooling fan speed as temperature influencing factor data are: 1. Ambient temperature is an important external factor affecting the temperature of sodium salt energy storage batteries. When the ambient temperature rises, the temperature difference between the battery and the environment decreases, the heat dissipation difficulty increases, and the battery temperature is easy to rise. 2. Ambient wind speed plays a key role in the natural heat dissipation of sodium salt energy storage batteries. When wind blows over the surface of the battery, it will speed up the flow of air and enhance the heat exchange between the battery and the surrounding air, thereby improving the heat dissipation effect. 3. The speed of the cooling fan is a factor that can be adjusted artificially, which directly determines the heat dissipation intensity of the forced air cooling system. Increasing the speed of the cooling fan can increase the air flow, speed up the dissipation of heat, and reduce the battery temperature.

[0026] It should be noted that the analysis of the correction of the temperature influencing factors of the target sodium salt energy storage battery requires the construction of the temperature influencing factor correction coefficient of the target sodium salt energy storage battery, and the specific method is as follows: extract the ambient temperature, ambient wind speed and cooling fan speed of the target sodium salt energy storage battery, and record them as , , .

[0027] Using the formula Analyze and obtain the temperature influencing factor correction coefficient of the target sodium salt energy storage battery ,in Indicates the preset suitable ambient temperature. Indicates the preset reference ambient wind speed. Indicates the preset rated cooling fan speed. Indicates the allowable difference between the preset ambient temperature and the suitable ambient temperature. Indicates the permissible difference between the preset ambient wind speed and the reference ambient wind speed. Indicates the permissible difference between the preset cooling fan speed and the rated cooling fan speed. They respectively represent the influence weights corresponding to the preset ambient temperature, ambient wind speed and cooling fan speed.

[0028] It should be noted that the setting basis of the suitable ambient temperature, reference ambient wind speed and rated cooling fan speed is as follows: 1. Suitable ambient temperature: Sodium salt energy storage batteries usually perform best within a certain temperature range. By testing the battery's charge and discharge performance, capacity retention rate, cycle life and other indicators, the battery's performance at different temperatures can be determined. 2. Reference ambient wind speed: By analyzing the battery's thermal power, heat dissipation area, heat dissipation coefficient and other parameters, the heat dissipation effect under different ambient wind speeds can be calculated. 3. Rated cooling fan speed: It can be obtained from the cooling fan manual.

[0029] For example, .

[0030] The operating temperature anomaly analysis module is used to deploy optical fiber temperature sensors at each monitoring point of the target sodium salt energy storage battery, obtain the temperature of each monitoring point, analyze the temperature anomaly of each monitoring point of the target sodium salt energy storage battery, and determine whether the target sodium salt energy storage battery is in a temperature anomaly state.

[0031] It should be noted that the analysis of the temperature anomaly of each monitoring point of the target sodium salt energy storage battery requires the construction of a temperature anomaly index for each monitoring point of the target sodium salt energy storage battery. The specific analysis method is as follows: extract the temperature of each monitoring point of the target sodium salt energy storage battery obtained by using an optical fiber temperature sensor, and perform difference calculation between the temperature of each monitoring point of the target sodium salt energy storage battery and the preset suitable operating temperature to obtain the temperature deviation of each monitoring point of the target sodium salt energy storage battery, and then perform ratio calculation with the preset suitable operating temperature to obtain the temperature deviation degree of each monitoring point of the target sodium salt energy storage battery.

[0032] The temperatures of each monitoring point of the target energy storage battery are arranged in order from large to small, and then the median is selected as the reference operating temperature of the target sodium salt energy storage battery. The temperature of each monitoring point of the target energy storage battery is compared with the reference operating temperature, and the temperature fluctuation of each monitoring point of the target energy storage battery is obtained by analysis.

[0033] The temperature deviation and temperature fluctuation of each monitoring point of the target sodium salt energy storage battery are summed up according to the weights to obtain the initial temperature anomaly index of each monitoring point of the target sodium salt energy storage battery, and the correction coefficient of the temperature influencing factor of the target sodium salt energy storage battery is multiplied by the initial temperature anomaly index of each monitoring point to obtain the initial temperature anomaly index correction amount of each monitoring point, which is then summed up with the initial temperature anomaly index of each corresponding monitoring point to obtain the temperature anomaly index of each monitoring point of the target sodium salt energy storage battery.

[0034] For example, the corresponding weights of temperature deviation and temperature fluctuation are: .

[0035] It should be noted that the specific method for determining whether the target sodium salt energy storage battery is in a temperature abnormality state is as follows: the temperature abnormality index of each monitoring point of the target sodium salt energy storage battery is compared with a preset temperature abnormality index threshold value. If the temperature abnormality index of a certain monitoring point is greater than the temperature abnormality index threshold value, it is determined that the monitoring point is in a temperature abnormality state; otherwise, it is determined that the monitoring point is not in a temperature abnormality state.

[0036] It should be noted that the threshold of the temperature anomaly index is set based on the fact that sodium salt energy storage batteries have different performances at different temperatures. Too high or too low a temperature may lead to problems such as reduced battery capacity, reduced charge and discharge efficiency, and shortened cycle life. By performing a large number of performance tests on the battery, the changes in battery performance within different temperature ranges can be determined.

[0037] For example, the temperature anomaly index threshold is .

[0038] If it is determined that any monitoring point has an abnormal temperature state, it is determined that the target sodium salt energy storage battery has an abnormal temperature state.

[0039] It should be noted that the present invention uses optical fiber temperature sensors to collect the temperature of each monitoring point when analyzing the temperature anomaly of the sodium salt energy storage battery. The optical fiber temperature sensor operates stably in the strong electromagnetic field environment generated by battery charging and discharging by virtue of its anti-electromagnetic interference characteristics, and accurately measures the temperature without interference. The corrosion-resistant material enables it to work reliably for a long time in the corrosive electrolyte environment inside the battery. It has high sensitivity and high precision, can keenly capture tiny temperature changes, and provide accurate data for judging battery temperature anomalies.

[0040] The ceramic tube outer wall data analysis module is used to deploy a combined sensor at each monitoring point of the target sodium salt energy storage battery. The combined sensor is composed of a fiber optic interference sensor and a hydrogen sulfide gas sensor to analyze the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery.

[0041] It should be noted that the reasons for analyzing the abnormal strain and abnormal hydrogen sulfide concentration of the target sodium salt energy storage battery are as follows: 1. When there is a problem with the sealing of the target energy storage battery, the internal pressure may change, causing strain in the battery shell. If an abnormal strain is detected, it may indicate a poor seal. For example, if external gas or moisture enters the battery due to poor sealing, the change in pressure will cause the shell to deform, and the strain sensor can capture this tiny change. By monitoring and analyzing the strain data, potential sealing problems can be discovered in a timely manner, providing clues for further inspection and repair. 2. Hydrogen sulfide is a common gas product. When there is a problem with the sealing of the target sodium salt energy storage battery, the internal chemical reaction products or external polluted gases may leak into the surrounding environment, which may include hydrogen sulfide. By detecting the abnormality of the hydrogen sulfide concentration, it is possible to quickly determine whether the battery is well sealed. For example, if a high concentration of hydrogen sulfide is detected around the battery, it is likely that the substance inside the battery has leaked out, indicating that there is a defect in the sealing structure.

[0042] It should be noted that the strain anomaly situation requires the construction of a strain anomaly index for the target sodium salt energy storage battery, and the specific analysis method is as follows: the strain of each monitoring point of the target sodium salt energy storage battery is obtained using a fiber optic interferometer sensor, and the strain of each monitoring point is divided according to the sign to obtain each expansion strain and each contraction strain.

[0043] It should be added that the specific step of dividing the strain of each monitoring point according to the sign is: dividing the strain of each monitoring point according to the sign, if a certain strain is positive, the strain is judged to be an expansion strain, if a certain strain is negative, the strain is judged to be a contraction strain.

[0044] It should be explained that the sign of the strain determines the nature of the strain. If the strain is positive, it indicates that the strain is an expansion strain, and if the strain is negative, it indicates that the strain is a contraction strain.

[0045] Each expansion strain is compared with a preset expansion strain threshold to obtain a strain anomaly index of each expansion strain.

[0046] It should be noted that the expansion strain threshold is set based on the following: 1. The outer shell and internal components of sodium salt energy storage batteries are usually made of specific materials that have certain elastic limits. When setting the expansion strain threshold, the elastic limit of the material needs to be considered to ensure that the strain of the battery does not exceed the material's bearing capacity during normal use. 2. Sodium salt energy storage batteries generate heat during operation, causing the temperature to rise. The thermal expansion coefficient of a material determines its degree of expansion when the temperature changes. When setting the expansion strain threshold, the thermal expansion coefficient of the material needs to be considered to ensure that the strain of the battery does not exceed the safe range within the normal operating temperature range.

[0047] It should be added that the analysis method for obtaining the strain anomaly index of each expansion strain is as follows: each expansion strain is subjected to difference calculation with a preset expansion strain threshold to obtain the strain anomaly corresponding to each expansion strain, and then the strain anomaly corresponding to each expansion strain is subjected to ratio calculation with the expansion strain threshold to obtain the strain anomaly index corresponding to each expansion strain.

[0048] Each contraction strain is compared with a preset contraction strain threshold to obtain a strain anomaly index of each contraction strain.

[0049] It should be noted that the analysis method for obtaining the strain anomaly index of each contraction strain refers to the analysis method for obtaining the strain anomaly index of each expansion strain.

[0050] The strain anomaly index of each expansion strain is compared with the strain anomaly index of each contraction strain, and the largest strain anomaly index is selected as the strain anomaly index of the target sodium salt energy storage battery.

[0051] It should be noted that the abnormal hydrogen sulfide concentration requires the construction of an abnormal hydrogen sulfide concentration index of the target sodium salt energy storage battery. The specific method is as follows: the hydrogen sulfide concentration of each monitoring point of the target sodium salt energy storage battery is obtained by using a hydrogen sulfide gas sensor, the hydrogen sulfide concentration of each monitoring point of the target sodium salt energy storage battery is compared, and the maximum hydrogen sulfide concentration is selected as the monitored hydrogen sulfide concentration, which is recorded as .

[0052] Using the formula Analyze and obtain the abnormal index of hydrogen sulfide concentration of the target sodium salt energy storage battery ,in Indicates the preset hydrogen sulfide concentration threshold.

[0053] The energy storage battery abnormality identification module is used to determine whether the target sodium salt energy storage battery has a battery temperature control risk based on the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery. If so, the specific abnormal direction is further identified and an early warning is issued. The abnormal direction includes sealing abnormality and negative pressure abnormality. If not, the temperature control module is executed.

[0054] It should be noted that the specific method for determining whether the target sodium salt energy storage battery has a battery temperature control risk is as follows: extracting the strain anomaly index and hydrogen sulfide concentration anomaly index of the target sodium salt energy storage battery, and then summing them up according to the weights to obtain the battery temperature control risk index of the target sodium salt energy storage battery.

[0055] It should be noted that the weights of the strain anomaly index and hydrogen sulfide concentration anomaly index of the target sodium salt energy storage battery are set based on the following: 1. Strain anomaly may reflect the deformation of the battery structure, which will directly affect the mechanical integrity and electrical performance of the battery. If the strain is too large, it may cause the battery casing to rupture and the internal components to be damaged, thereby affecting the battery capacity, charge and discharge efficiency and cycle life. By analyzing the different degrees of strain anomaly, the degree of its impact on battery performance and safety can be evaluated, thereby determining the proportion of the strain anomaly index in the weight setting. 2. Hydrogen sulfide is a toxic and harmful gas, and its abnormal concentration may indicate that the battery is leaking or the internal chemical reaction is abnormal. High concentrations of hydrogen sulfide not only pose a threat to human health, but may also corrode the internal components of the battery, affecting the performance and safety of the battery. By evaluating the degree of harm of abnormal hydrogen sulfide concentration to battery performance and safety, its importance in weight setting can be determined.

[0056] For example, the weights corresponding to the strain anomaly index and the hydrogen sulfide concentration anomaly index of the target sodium salt energy storage battery are: .

[0057] The battery temperature control risk index of the target sodium salt energy storage battery is compared with the pre-set battery temperature control risk index threshold. If the battery temperature control risk index of the target sodium salt energy storage battery is greater than the battery temperature control risk index threshold, it is judged that the target sodium salt energy storage battery has a battery temperature control risk. Otherwise, it is judged that the target sodium salt energy storage battery does not have a battery temperature control risk.

[0058] It should be noted that the battery temperature control risk index threshold is set based on: the temperature data and temperature control risk of similar types of sodium salt energy storage batteries during actual operation can be referred to. By analyzing these data, the temperature change law and temperature control risk level of the battery under different working conditions can be understood, thereby providing a reference for the current battery temperature control risk index threshold setting.

[0059] Exemplary battery temperature control risk index threshold .

[0060] It should be noted that the present invention performs temperature control risk judgment before controlling the temperature of the target sodium salt energy storage battery. This analysis method enhances the pertinence and effectiveness of temperature control. By judging the temperature control risk in advance, we can have an in-depth understanding of the impact of different factors on the battery temperature, so as to formulate a more accurate temperature control strategy. Improve the safety and reliability of the system. Temperature control risk judgment can promptly detect potential safety hazards, such as abnormal temperature risks caused by factors such as excessively high external ambient temperature and internal battery failure. By discovering problems in advance and dealing with them in a timely manner, the damage to the battery caused by abnormal temperature can be reduced, and the cost of repairing and replacing the battery can be reduced.

[0061] It should be noted that the specific method of identifying the specific abnormal direction is as follows: extracting the strain abnormality index and hydrogen sulfide concentration abnormality index of the target sodium salt energy storage battery, and then comparing them with the pre-set strain abnormality index threshold and hydrogen sulfide concentration abnormality index threshold respectively.

[0062] For example, the strain anomaly index threshold and the hydrogen sulfide concentration anomaly index threshold are .

[0063] If the strain anomaly index of the target sodium salt energy storage battery is greater than the strain anomaly index threshold and the hydrogen sulfide concentration anomaly index is greater than the hydrogen sulfide concentration anomaly index threshold, it is judged that the specific anomaly points to a sealing anomaly.

[0064] If the strain anomaly index of the target sodium salt energy storage battery is greater than the strain anomaly index threshold and the hydrogen sulfide concentration anomaly index is less than the hydrogen sulfide concentration anomaly index threshold, it is judged that the specific anomaly points to a negative pressure anomaly.

[0065] It should be noted that the negative pressure anomaly described in the present invention refers to a situation where a negative pressure problem occurs in the target sodium salt energy storage battery and no leakage occurs. When a leakage occurs in the target sodium salt energy storage battery, it becomes a sealing anomaly.

[0066] The temperature control module is used to perform temperature control when it is determined that the target sodium salt energy storage battery does not have a battery temperature control risk, and identify a specific temperature control direction, which includes heating and cooling.

[0067] It should be noted that the specific method of identifying the specific temperature control direction is as follows: extract the temperature of each monitoring point of the target sodium salt energy storage battery obtained by using the optical fiber temperature sensor, and then perform difference calculation with the preset suitable operating temperature to obtain the temperature deviation value of each monitoring point of the target sodium salt energy storage battery, and classify the temperature deviation value of each monitoring point according to the symbol to obtain the corresponding high temperature monitoring points and low temperature monitoring points.

[0068] The number of high-temperature monitoring points and the number of low-temperature monitoring points are statistically obtained, and then the proportions are calculated with the number of monitoring points to obtain the proportion of high-temperature monitoring points and the proportion of low-temperature monitoring points. The proportion of high-temperature monitoring points and the proportion of low-temperature monitoring points are compared to obtain the specific temperature control direction.

[0069] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. An optical fiber-based energy storage battery intelligent control system, characterized in that: include: A monitoring point layout module is used to carve a surrounding groove on the outer wall of the ceramic tube of the target sodium salt energy storage battery, lay optical fibers in the groove, and then lay out a number of monitoring points based on equal intervals; The temperature influencing factor correction analysis module is used to collect temperature influencing factor data of the target sodium salt energy storage battery, obtain the temperature influencing factor data of the target sodium salt energy storage battery, and analyze the temperature influencing factor correction of the target sodium salt energy storage battery; The operating temperature anomaly analysis module is used to deploy optical fiber temperature sensors at each monitoring point of the target sodium salt energy storage battery, obtain the temperature of each monitoring point, analyze the temperature anomaly of each monitoring point of the target sodium salt energy storage battery, and determine whether the target sodium salt energy storage battery has a temperature anomaly; The ceramic tube outer wall data analysis module is used to deploy a combined sensor at each monitoring point of the target sodium salt energy storage battery. The combined sensor is composed of a fiber optic interference sensor and a hydrogen sulfide gas sensor to analyze the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery; The energy storage battery abnormality recognition module is used to determine whether the target sodium salt energy storage battery has a battery temperature control risk based on the abnormal strain and hydrogen sulfide concentration on the surface of the target sodium salt energy storage battery. If so, further identify the specific abnormal direction and issue an early warning. The abnormal direction includes sealing abnormality and negative pressure abnormality. If not, execute the temperature control module; A temperature control module, used to perform temperature control when it is determined that the target sodium salt energy storage battery does not have a battery temperature control risk, and identify a specific temperature control direction, wherein the temperature control direction includes heating and cooling; The temperature influencing factor data specifically include ambient temperature, ambient wind speed and cooling fan speed, which are obtained by pre-set optical fiber temperature sensors, wind speed sensors and speed sensors respectively; The analysis of the correction of the temperature influencing factors of the target sodium salt energy storage battery requires the construction of the correction coefficient of the temperature influencing factors of the target sodium salt energy storage battery, and the specific method is as follows: Extract the ambient temperature, ambient wind speed and cooling fan speed of the target sodium salt energy storage battery and record them as , , ; Using the formula Analyze and obtain the temperature influencing factor correction coefficient of the target sodium salt energy storage battery ,in Indicates the preset suitable ambient temperature. Indicates the preset reference ambient wind speed. Indicates the preset rated cooling fan speed. Indicates the allowable difference between the preset ambient temperature and the suitable ambient temperature. Indicates the permissible difference between the preset ambient wind speed and the reference ambient wind speed. Indicates the permissible difference between the preset cooling fan speed and the rated cooling fan speed. They respectively represent the influence weights corresponding to the preset ambient temperature, ambient wind speed and cooling fan speed.

2. The optical fiber-based energy storage battery intelligent control system according to claim 1, characterized in that: The analysis of the temperature anomaly of each monitoring point of the target sodium salt energy storage battery requires the construction of the temperature anomaly index of each monitoring point of the target sodium salt energy storage battery, and the specific analysis method is as follows: Extract the temperature of each monitoring point of the target sodium salt energy storage battery obtained by the optical fiber temperature sensor, calculate the difference between the temperature of each monitoring point of the target sodium salt energy storage battery and the preset suitable operating temperature to obtain the temperature deviation of each monitoring point of the target sodium salt energy storage battery, and then calculate the ratio with the preset suitable operating temperature to obtain the temperature deviation degree of each monitoring point of the target sodium salt energy storage battery; Arrange the temperatures of each monitoring point of the target energy storage battery in descending order, and then select the median as the reference operating temperature of the target sodium salt energy storage battery. Compare the temperature of each monitoring point of the target energy storage battery with the reference operating temperature, and analyze and obtain the temperature fluctuation of each monitoring point of the target energy storage battery. The temperature deviation and temperature fluctuation of each monitoring point of the target sodium salt energy storage battery are summed up according to the weights to obtain the initial temperature anomaly index of each monitoring point of the target sodium salt energy storage battery, and the correction coefficient of the temperature influencing factor of the target sodium salt energy storage battery is multiplied by the initial temperature anomaly index of each monitoring point to obtain the initial temperature anomaly index correction amount of each monitoring point, which is then summed up with the initial temperature anomaly index of each corresponding monitoring point to obtain the temperature anomaly index of each monitoring point of the target sodium salt energy storage battery.

3. The optical fiber-based energy storage battery intelligent control system according to claim 2, characterized in that: The specific method of determining whether the target sodium salt energy storage battery has an abnormal temperature state is as follows: The temperature anomaly index of each monitoring point of the target sodium salt energy storage battery is compared with the preset temperature anomaly index threshold. If the temperature anomaly index of a certain monitoring point is greater than the temperature anomaly index threshold, it is judged that the monitoring point has a temperature anomaly state. Otherwise, it is judged that the monitoring point does not have a temperature anomaly state. If it is determined that any monitoring point has an abnormal temperature state, it is determined whether the target sodium salt energy storage battery has an abnormal temperature state.

4. The optical fiber-based energy storage battery intelligent control system according to claim 1, characterized in that: The strain anomaly situation requires the construction of a strain anomaly index for the target sodium salt energy storage battery, and the specific analysis method is as follows: The strain of each monitoring point of the target sodium salt energy storage battery is obtained by using a fiber optic interferometer sensor, and the strain of each monitoring point is divided according to the sign to obtain each expansion strain and each contraction strain; Comparing each expansion strain with a preset expansion strain threshold value to obtain a strain anomaly index of each expansion strain; Comparing each contraction strain with a preset contraction strain threshold value to obtain a strain anomaly index of each contraction strain; The strain anomaly index of each expansion strain is compared with the strain anomaly index of each contraction strain, and the largest strain anomaly index is selected as the strain anomaly index of the target sodium salt energy storage battery.

5. The optical fiber-based energy storage battery intelligent control system according to claim 4, characterized in that: The abnormal hydrogen sulfide concentration situation requires the construction of the abnormal hydrogen sulfide concentration index of the target sodium salt energy storage battery, and the specific method is as follows: The hydrogen sulfide gas sensor is used to obtain the hydrogen sulfide concentration of each monitoring point of the target sodium salt energy storage battery. The hydrogen sulfide concentration of each monitoring point of the target sodium salt energy storage battery is compared, and the maximum hydrogen sulfide concentration is selected as the monitored hydrogen sulfide concentration, which is recorded as ; Using the formula Analyze and obtain the abnormal index of hydrogen sulfide concentration of the target sodium salt energy storage battery ,in Indicates the preset hydrogen sulfide concentration threshold.

6. The optical fiber-based energy storage battery intelligent control system according to claim 5, characterized in that: The specific method for determining whether the target sodium salt energy storage battery has a battery temperature control risk is as follows: Extract the strain anomaly index and hydrogen sulfide concentration anomaly index of the target sodium salt energy storage battery, and then sum them up according to the weights to obtain the battery temperature control risk index of the target sodium salt energy storage battery; The battery temperature control risk index of the target sodium salt energy storage battery is compared with the pre-set battery temperature control risk index threshold. If the battery temperature control risk index of the target sodium salt energy storage battery is greater than the battery temperature control risk index threshold, it is judged that the target sodium salt energy storage battery has a battery temperature control risk. Otherwise, it is judged that the target sodium salt energy storage battery does not have a battery temperature control risk.

7. The optical fiber-based energy storage battery intelligent control system according to claim 6, characterized in that: The specific method of identifying the specific abnormal direction is as follows: Extract the strain anomaly index and hydrogen sulfide concentration anomaly index of the target sodium salt energy storage battery, and then compare them with the preset strain anomaly index threshold and hydrogen sulfide concentration anomaly index threshold respectively; If the strain anomaly index of the target sodium salt energy storage battery is greater than the strain anomaly index threshold and the hydrogen sulfide concentration anomaly index is greater than the hydrogen sulfide concentration anomaly index threshold, it is determined that the specific anomaly points to a sealing anomaly; If the strain anomaly index of the target sodium salt energy storage battery is greater than the strain anomaly index threshold and the hydrogen sulfide concentration anomaly index is less than the hydrogen sulfide concentration anomaly index threshold, it is judged that the specific anomaly points to a negative pressure anomaly.

8. The optical fiber-based energy storage battery intelligent control system according to claim 1, characterized in that: The specific method of identifying the specific temperature control direction is as follows: The temperature of each monitoring point of the target sodium salt energy storage battery obtained by the optical fiber temperature sensor is extracted, and then the temperature deviation value of each monitoring point of the target sodium salt energy storage battery is obtained by difference calculation with the preset suitable operating temperature, and the temperature deviation value of each monitoring point is classified according to the symbol to obtain the corresponding high temperature monitoring point and low temperature monitoring point; The number of high-temperature monitoring points and the number of low-temperature monitoring points are statistically obtained, and then the proportions are calculated with the number of monitoring points to obtain the proportion of high-temperature monitoring points and the proportion of low-temperature monitoring points. The proportion of high-temperature monitoring points and the proportion of low-temperature monitoring points are compared to obtain the specific temperature control direction.

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