Air temperature sensitive electric quantity prediction method based on multi-source data fusion

Abstract

The invention relates to the technical field of electric power data processing, in particular to a temperature sensitive electric quantity prediction method based on multi-source data fusion, and the method comprises the steps: calculating temperature sensitive characterization parameters of an energy storage body in different temperature intervals, dividing temperature sensitive types, monitoring the real-time temperature of an energy supply terminal and an output terminal of the energy storage body, and determining the temperature interval. Predictive analysis is performed on the energy storage body in combination with a temperature-sensitive category, whether the energy storage body enters a sensitive influence stage is judged, the discharge power or / and the electricity storage power of the energy storage body is adjusted, and whether the efficiency loss meets the standard or not is predicted according to the internal resistance variation of the energy storage body, or whether the efficiency loss meets the standard or not is predicted based on the temperature difference duration. According to the invention, the temperature compensation is carried out adaptively by considering the influence of the temperature difference caused by the heat sensitivity of different electrolytes and the working asynchronism of the energy supply terminal and the output terminal on the charging and discharging efficiency of the energy storage body, the efficiency loss of the energy storage body is reduced, and the stability of the battery is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power data processing, and in particular to a temperature-sensitive electric power prediction method based on multi-source data fusion. Background Art

[0002] Electric energy is an indispensable resource in today's society. When storing excess electricity in the power grid, energy storage technology is involved. Energy storage technology refers to the technology of storing energy in the form of electricity through different media and releasing it when needed. As a new type of energy storage technology, energy storage has broad application prospects and has promoted the cleanliness and efficiency of global energy.

[0003] Chinese patent publication number: CN116014295A, discloses a sodium ion battery energy storage module, a control module, which is used to determine the total power of the energy storage cabinet for this charging behavior, generate the charging time of this charging behavior according to the charging strategy, and divide the charging time according to the charging strategy to obtain the first charging time of each charging stage of the charging strategy and the amount of electric energy charged; calculate the second charging time of each charging stage of the charging strategy according to the charging coefficient of the sodium ion battery and the current charging information, if the time difference between the first charging time and the second charging time meets the preset time threshold, determine the energy loss of each charging stage according to the real-time power of each sodium ion battery and the input electric energy at the first charging time, simulate the temperature data of each sodium ion battery according to the energy loss of each charging stage and the size information of the sodium ion battery; regulate the output power of the refrigeration system according to the temperature data to perform heat dissipation management on multiple sodium ion batteries.

[0004] However, there are still the following problems in the prior art:

[0005] In actual situations, the working states of the energy supply terminals or output terminals of large energy storage bodies may be somewhat asynchronous, and the corresponding powers of the energy supply terminals or output terminals are different when they are working, resulting in different heat generation. The heat generated by large terminals is relatively high. Due to heat propagation, it is easy to cause different temperatures in different areas of the energy storage body. In addition, due to the different sensitivity of electrolytes in different energy storage bodies to temperature, the properties change differently. Under the above factors, it is easy to cause differences in the properties of electrolytes in different areas of the energy storage body, affecting the charging and discharging efficiency of the energy storage body. Summary of the invention

[0006] To this end, the present invention provides a temperature-sensitive electricity prediction method based on multi-source data fusion, which is used to solve the problem that the prior art does not consider the sensitivity of the energy storage body electrolyte to temperature and the temperature difference of the energy supply terminal or the output terminal during the operation of the energy storage body affects the properties of the energy storage body electrolyte, thereby affecting the charging and discharging efficiency of the energy storage body.

[0007] To achieve the above object, the present invention provides a temperature-sensitive electricity prediction method based on multi-source data fusion, which comprises:

[0008] Obtaining the temperature sensitivity test of the electrolyte sample corresponding to the energy storage body to obtain the temperature-sensitive characteristics, including heating the electrolyte sample to different temperature ranges, obtaining the conductivity change rate of the electrolyte sample in different temperature ranges and the change rate of the number of solvated clusters;

[0009] Calculating temperature-sensitive characterization parameters of the energy storage body in different temperature intervals based on the temperature-sensitive characteristics to classify the temperature-sensitive categories of the energy storage body in different temperature intervals;

[0010] Monitor the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and perform prediction analysis on the energy storage body based on the temperature range in which the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature range, including:

[0011] Based on the temperature difference between the current energy supply terminal and the output terminal, determine whether the energy storage body has entered the sensitive impact stage, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard according to the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body;

[0012] Or, based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, so as to control the temperature control device to perform temperature compensation on the energy storage body.

[0013] Furthermore, the process of calculating the temperature-sensitive characterization parameter of the energy storage body includes:

[0014] Determine the ratio of the conductivity change rate of the electrolyte sample to the reference conductivity change rate as a conductivity change rate influencing factor;

[0015] Determine the ratio of the number change rate of the solvated clusters to the reference number change rate as the number change rate influencing factor;

[0016] The temperature-sensitive characterization parameter is obtained by weighted summing the conductivity change rate influencing factor and the quantity change rate influencing factor.

[0017] Furthermore, the energy storage body is divided into temperature-sensitive categories in different temperature ranges based on the temperature-sensitive characterization parameter, wherein:

[0018] If the temperature-sensitive characterization parameter is greater than the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a highly sensitive category;

[0019] If the temperature-sensitive characterization parameter is less than or equal to the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a weakly sensitive category.

[0020] Furthermore, the process of predicting and analyzing the energy storage body includes:

[0021] Obtaining the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and determining the temperature range where the current maximum temperature value is located;

[0022] If the temperature-sensitive category of the energy storage body within the temperature range is a strongly sensitive category, determine whether it has entered the sensitive impact stage based on the temperature difference between the current energy supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body;

[0023] If the temperature-sensitive category of the energy storage body within the temperature range is a weakly sensitive category, whether the efficiency loss of the energy storage body meets the standard is predicted based on the duration of the temperature difference, so as to control the temperature control device to perform temperature compensation on the energy storage body.

[0024] Further, whether the energy storage body enters the sensitive impact stage is determined based on the current temperature difference between the energy supply terminal and the output terminal, wherein:

[0025] If the temperature difference is greater than or equal to the reference temperature difference, it is determined that the energy storage body enters the sensitive impact stage.

[0026] Furthermore, the discharge power and / or storage power of the energy storage body is adjusted according to the temperature-sensitive characterization parameter, wherein:

[0027] The discharge power and / or storage power are reduced, and the reduction amount is positively correlated with the temperature-sensitive characterization parameter. Further, the process of determining the change in the internal resistance of the energy storage body includes:

[0028] Determine the first internal resistance value of the energy storage body when it enters the sensitive impact stage;

[0029] Determine a second internal resistance value of the energy storage body after a predetermined reference time has passed;

[0030] The internal resistance change is determined according to the first internal resistance value and the second internal resistance value.

[0031] Furthermore, whether the efficiency loss of the energy storage body meets the standard is predicted based on the change in the internal resistance of the energy storage body, wherein:

[0032] If the internal resistance change is within the reference change threshold, the efficiency loss meets the standard;

[0033] If the internal resistance change is not within the reference change threshold, the efficiency loss does not meet the standard, and temperature compensation is performed on the energy storage body.

[0034] Further, based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, wherein:

[0035] If the duration of the temperature difference is greater than or equal to the reference temperature difference duration threshold, the efficiency loss does not meet the standard, and the temperature control device is controlled to perform temperature compensation on the energy storage body;

[0036] Wherein, the temperature difference needs to be greater than the reference temperature difference.

[0037] Furthermore, performing temperature compensation includes heating or cooling corresponding parts of the energy storage body so that the temperature difference between each part is less than a predetermined threshold.

[0038] Compared with the prior art, the present invention obtains temperature-sensitive characteristics, calculates temperature-sensitive characterization parameters of the energy storage body in different temperature ranges based on the temperature-sensitive characteristics, divides the temperature-sensitive categories, monitors the real-time temperatures of the energy supply terminals and the output terminals of the energy storage body to determine the temperature range in which they are located, and predicts and analyzes the energy storage body in combination with the temperature-sensitive categories, determines whether it has entered the sensitive impact stage based on the current temperature difference between the energy supply terminals and the output terminals, adjusts the discharge power and / or storage power of the energy storage body, and predicts whether the efficiency loss of the energy storage body meets the standard based on the change in the internal resistance of the energy storage body, or predicts whether the efficiency loss of the energy storage body meets the standard based on the duration of the temperature difference, so as to control the temperature control device to perform temperature compensation on the energy storage body. The present invention takes into account the heat sensitivity of different electrolytes and the influence of the temperature difference caused by the asynchronous operation of the energy supply terminals and the output terminals on the charging and discharging efficiency of the energy storage body, adaptively performs temperature compensation, reduces the efficiency loss of the energy storage body, and improves battery stability.

[0039] In particular, the present invention considers conducting temperature sensitivity tests on different electrolytes to obtain temperature-sensitive characteristics, and then calculating temperature-sensitive characterization parameters. In actual situations, the electrolytes in different energy storage bodies are different, and their sensitivities to changes in properties caused by temperature are also different. Temperature will affect the conductivity of the electrolyte and the generation of solvated clusters. The rate of change of conductivity and the rate of change of the number of solvated clusters can characterize the sensitivity of the electrolyte to temperature. Moreover, in different temperature ranges, the effects of temperature on different electrolytes are different. Therefore, it is considered to determine the temperature-sensitive characteristics of the energy storage body in different temperature ranges, provide data support for determining the temperature-sensitive category of the energy storage body in different temperature ranges, facilitate subsequent adaptive prediction and analysis of the energy storage body, adaptive temperature compensation, reduce the efficiency loss of the energy storage body, and improve battery stability.

[0040] In particular, the present invention monitors the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and predicts and analyzes the energy storage body based on the temperature range in which the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature range. In actual situations, the electrolyte in some energy storage bodies is highly sensitive to temperature. In particular, the working states of the energy supply terminals or output terminals of large energy storage bodies may be somewhat asynchronous, and are often arranged on both sides of the energy storage body. Due to actual needs, the corresponding powers of the energy supply terminals or output terminals may be different when they are working, resulting in different heat generation. Due to heat propagation, it is easy to cause differences in temperature in different areas of the energy storage body, thereby affecting the performance of the electrolyte inside the energy storage body. The difference in electrolyte properties leads to an imbalance in the storage capacity of each area and a difference in the electrochemical reaction rate, which affects the storage efficiency and charging efficiency. Therefore, the present invention monitors the real-time temperature of the energy supply terminal and the output terminal of the energy storage body. For the case of being in a highly sensitive category within the temperature range, due to the high sensitivity, the property changes rapidly. Therefore, the present invention promptly determines whether the energy storage body has entered the sensitive impact stage, adaptively limits the discharge power and / or storage power, reduces heat loss and internal polarization, alleviates the impact of changes in electrolyte properties, and promptly determines to use a temperature control device to perform temperature compensation on the energy storage body, reduces the efficiency loss of the energy storage body, and improves battery stability.

[0041] In particular, for energy storage bodies that are weakly sensitive within the temperature range, the rate of change of the properties of the electrolyte is slow. Considering long-term monitoring, for long-term temperature differences, the temperature control device is controlled to perform temperature compensation on the energy storage body, thereby saving energy, reducing energy storage body efficiency losses, and improving battery stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 A schematic diagram of the method steps of a temperature-sensitive electricity prediction method based on multi-source data fusion according to an embodiment of the invention;

[0043] Figure 2 A logic block diagram for classifying the temperature-sensitive categories of energy storage bodies in different temperature ranges according to an embodiment of the invention;

[0044] Figure 3 A logic block diagram for determining whether the energy storage body of the embodiment of the invention has entered the sensitive impact stage;

[0045] Figure 4 A logic block diagram for judging whether the efficiency loss of a highly sensitive energy storage body of an embodiment of the invention meets the standard;

[0046] Figure 5 A logic block diagram for judging whether the efficiency loss of a weakly sensitive energy storage body according to an embodiment of the present invention meets the standard. DETAILED DESCRIPTION

[0047] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0048] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0049] It should be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected" and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0050] See also Figures 1 to 5 As shown, Figure 1 This is a schematic diagram of the method steps of the temperature-sensitive electricity prediction method based on multi-source data fusion according to an embodiment of the invention. Figure 2 A logic block diagram for classifying the temperature-sensitive categories of energy storage bodies in different temperature ranges according to an embodiment of the invention. Figure 3 A logic block diagram for determining whether the energy storage body of the embodiment of the invention has entered the sensitive impact stage. Figure 4 A logical block diagram for judging whether the efficiency loss of the highly sensitive energy storage body of the embodiment of the invention meets the standard. Figure 5 In order to determine whether the efficiency loss of the weakly sensitive energy storage body of the embodiment of the invention meets the standard logic block diagram, the temperature sensitivity power prediction method based on multi-source data fusion of the present invention includes:

[0051] Step S1, obtaining a temperature sensitivity test of an electrolyte sample corresponding to the energy storage body to obtain a temperature-sensitive characteristic, including heating the electrolyte sample to different temperature intervals, respectively, and obtaining the conductivity change rate of the electrolyte sample in different temperature intervals and the number change rate of the solvated clusters;

[0052] Step S2, calculating the temperature-sensitive characterization parameters of the energy storage body in different temperature intervals based on the temperature-sensitive characteristics, so as to classify the temperature-sensitive categories of the energy storage body in different temperature intervals;

[0053] Step S3, monitoring the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and performing a prediction analysis on the energy storage body based on the temperature interval in which the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature interval, including:

[0054] Based on the temperature difference between the current energy supply terminal and the output terminal, determine whether the energy storage body has entered the sensitive impact stage, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard according to the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body;

[0055] Or, based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, so as to control the temperature control device to perform temperature compensation on the energy storage body.

[0056] It is understandable that the temperature sensitivity test is carried out in a laboratory environment. To ensure the accuracy of the experimental results, at least three experiments need to be conducted and the experimental data need to be cleaned to determine the valid data results.

[0057] Specifically, there is no limitation on the test method of conductivity. It can be tested with a conductivity meter, or other forms. The rate of change of conductivity is the ratio of the change in conductivity within the reference time to the reference time. To ensure the observability of the conductivity change, the reference time is usually set within 1 minute to 5 minutes.

[0058] Specifically, there is no specific limitation on the method for detecting the number of solvated clusters, and spectral technology can be used for detection, and other methods can also be used. The rate of change of the number of solvated clusters is the ratio of the change in the number within the reference time to the reference time.

[0059] It is understandable that the sensitivity of the electrolyte to temperature is different at different temperatures, so the electrolyte samples in different temperature ranges may have different conductivity change rates and the rate of change of the number of solvated clusters. The temperature range is divided according to the maximum temperature that can be emitted by the output terminal of the energy storage body, which is usually 5% to 10% of the maximum temperature.

[0060] Specifically, there is no limitation on the method of monitoring the real-time temperature of the energy storage body. For example, temperature sensors may be provided at the energy supply terminal and the output terminal of the energy storage body. It is sufficient to monitor the real-time temperature of the energy storage body, and no further details are given.

[0061] In the embodiment, the energy storage body takes a large energy storage power station as an example. The energy storage body generally includes an output terminal and a power supply terminal to receive and output stored electrical energy correspondingly. In practical applications, there is asynchrony between input electrical energy and output electrical energy. Due to energy conversion reasons, the output terminal and the power supply terminal will generate a relatively high temperature when working.

[0062] Specifically, the process of calculating the temperature-sensitive characterization parameter of the energy storage body includes:

[0063] Determine the ratio of the conductivity change rate of the electrolyte sample to the reference conductivity change rate as a conductivity change rate influencing factor;

[0064] Determine the ratio of the number change rate of the solvated clusters to the reference number change rate as the number change rate influencing factor;

[0065] The temperature-sensitive characterization parameter is obtained by weighted summing the conductivity change rate influencing factor and the quantity change rate influencing factor.

[0066] Specifically, the benchmark conductivity change rate and the benchmark number change rate are pre-set, wherein the temperature-sensitive characteristics of temperature-sensitive detection of several electrolyte samples, namely, the conductivity change rate and the number change rate of solvated clusters, are obtained, the mean conductivity change rate and the mean number change rate are solved, the benchmark conductivity change rate is set to 0.95 times the mean conductivity change rate, and the benchmark number change rate is set to 0.85 times the mean number change rate.

[0067] Specifically, the corresponding weight coefficients when the conductivity change rate influencing factor and the quantity change rate influencing factor are weighted summed are 0.65 and 0.35, respectively.

[0068] Specifically, the present invention considers conducting temperature sensitivity tests on different electrolytes to obtain temperature-sensitive characteristics, and then calculating temperature-sensitive characterization parameters. In actual situations, different energy storage bodies have different electrolytes, and their sensitivities to changes in properties caused by temperature are also different. Temperature will affect the conductivity of the electrolyte and the generation of solvated clusters. The rate of change of conductivity and the rate of change of the number of solvated clusters can characterize the sensitivity of the electrolyte to temperature. Moreover, in different temperature ranges, the effects of temperature on different electrolytes are different. Therefore, it is considered to determine the temperature-sensitive characteristics of the energy storage body in different temperature ranges, provide data support for determining the temperature-sensitive category of the energy storage body in different temperature ranges, facilitate subsequent adaptive prediction and analysis of the energy storage body, adaptive temperature compensation, reduce the efficiency loss of the energy storage body, and improve battery stability.

[0069] Specifically, the energy storage body is divided into temperature-sensitive categories in different temperature ranges based on the temperature-sensitive characterization parameters, wherein:

[0070] If the temperature-sensitive characterization parameter is greater than the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a highly sensitive category;

[0071] If the temperature-sensitive characterization parameter is less than or equal to the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a weakly sensitive category.

[0072] Specifically, the benchmark temperature-sensitive characterization parameter is selected within the interval [1.15, 1.25].

[0073] Specifically, the process of predicting and analyzing the energy storage body includes:

[0074] The real-time temperatures of the energy supply terminal and the output terminal of the energy storage body are obtained, and the temperature range in which the current maximum temperature value is located is determined. The current maximum temperature value is the larger value of the real-time temperature of the energy supply terminal and the real-time temperature of the output terminal.

[0075] If the temperature-sensitive category of the energy storage body within the temperature range is a strongly sensitive category, determine whether it has entered the sensitive impact stage based on the temperature difference between the current energy supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body;

[0076] If the temperature-sensitive category of the energy storage body within the temperature range is a weakly sensitive category, whether the efficiency loss of the energy storage body meets the standard is predicted based on the duration of the temperature difference, so as to control the temperature control device to perform temperature compensation on the energy storage body.

[0077] Specifically, the present invention monitors the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and predicts and analyzes the energy storage body based on the temperature range in which the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature range. In actual situations, the electrolyte in some energy storage bodies is highly sensitive to temperature. In particular, the working states of the energy supply terminals or output terminals of large energy storage bodies may be somewhat asynchronous, and are often arranged on both sides of the energy storage body. Due to actual needs, the corresponding powers of the energy supply terminals or output terminals may be different when they are working, resulting in different heat generation. Due to heat propagation, it is easy to cause differences in temperature in different areas of the energy storage body, thereby affecting the electrolyte inside the energy storage body. The properties lead to differences in electrolyte properties, imbalance in storage capacity in different regions, and differences in electrochemical reaction rates, which affect storage efficiency and charging efficiency. Therefore, the present invention monitors the real-time temperature of the energy supply terminal and the output terminal of the energy storage body. For the situation in the highly sensitive category within the temperature range, due to the high sensitivity, the properties change rapidly. Therefore, the present invention promptly determines whether the energy storage body has entered the sensitive impact stage, adaptively limits the discharge power and / or storage power, reduces heat loss and internal polarization, alleviates the impact of changes in electrolyte properties, and promptly determines to use a temperature control device to perform temperature compensation on the energy storage body, reduces the efficiency loss of the energy storage body, and improves battery stability.

[0078] Specifically, whether the energy storage body enters the sensitive impact stage is determined based on the temperature difference between the current energy supply terminal and the output terminal, wherein:

[0079] If the temperature difference is greater than or equal to the reference temperature difference, it is determined that the energy storage body enters the sensitive impact stage.

[0080] The reference temperature difference is determined based on the maximum temperature that can be generated by the output terminal. In order to reflect the influence of the temperature difference on the properties of the electrolyte, the reference temperature difference is set to between 0.15 and 0.25 times the maximum temperature.

[0081] Specifically, the discharge power and / or storage power of the energy storage body is adjusted according to the temperature-sensitive characterization parameter, wherein:

[0082] The discharge power and / or storage power is reduced, and the reduction amount is positively correlated with the temperature-sensitive characterization parameter.

[0083] When the temperature-sensitive characterization parameter is greater than or equal to 1.45 times the reference temperature-sensitive characterization parameter, the reduction in discharge power and / or storage power is 0.35 times the original discharge power and / or storage power;

[0084] When the temperature-sensitive characterization parameter is greater than 1.25 times the reference temperature-sensitive characterization parameter and less than 1.45 times the reference temperature-sensitive characterization parameter, the reduction in discharge power and / or storage power is 0.25 times the original discharge power and / or storage power;

[0085] When the temperature-sensitive characterization parameter is less than or equal to 1.25 times the reference temperature-sensitive characterization parameter, the reduction in discharge power and / or storage power is 0.15 times the original discharge power and / or storage power.

[0086] Specifically, the process of determining the change in internal resistance of the energy storage body includes:

[0087] Determine the first internal resistance value of the energy storage body when it enters the sensitive impact stage;

[0088] Determine a second internal resistance value of the energy storage body after a predetermined reference time has passed;

[0089] The internal resistance variation is determined according to the first internal resistance value and the second internal resistance value, where the internal resistance variation is the difference between the second internal resistance value and the first internal resistance value.

[0090] Specifically, the predetermined reference time is determined based on the reference time and is set to 1.5 to 2 times the reference time.

[0091] Specifically, there is no limitation on the method for determining the internal resistance value of the energy storage body, and those skilled in the art may make a choice based on actual conditions. This is prior art and will not be described in detail.

[0092] Specifically, whether the efficiency loss of the energy storage body meets the standard is predicted based on the change in the internal resistance of the energy storage body, wherein:

[0093] If the internal resistance change is within the reference change threshold, the efficiency loss meets the standard;

[0094] If the internal resistance change is not within the reference change threshold, the efficiency loss does not meet the standard, and temperature compensation is performed on the energy storage body.

[0095] It is understandable that in a non-laboratory environment, the change in internal resistance can characterize the change in electrolyte properties due to temperature or temperature difference.

[0096] Specifically, the benchmark change threshold is preset, wherein the change in internal resistance of several highly sensitive energy storage bodies after entering the sensitive influence stage within a predetermined reference time is measured in advance, the mean of the change is solved, and the benchmark change threshold is set between 0.65 times and 0.75 times the mean of the change.

[0097] Specifically, based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, wherein:

[0098] If the duration of the temperature difference is greater than or equal to the reference temperature difference duration threshold, the efficiency loss does not meet the standard, and the temperature control device is controlled to perform temperature compensation on the energy storage body;

[0099] Wherein, the temperature difference needs to be greater than the reference temperature difference.

[0100] Specifically, the reference temperature difference duration threshold is obtained in advance by pre-measuring the internal resistance of several weakly sensitive energy storage bodies, determining the time it takes for the internal resistance change to reach the reference change threshold, solving the mean of the duration, and setting the reference temperature difference duration threshold to 0.85 times the mean of the duration.

[0101] Specifically, temperature compensation includes heating or cooling corresponding parts of the energy storage body so that the temperature difference of each part is less than a predetermined threshold value. The predetermined threshold value is determined based on the reference temperature difference and is set between 0.3 and 0.5 times of the reference temperature difference.

[0102] Specifically, there is no limitation on the specific structure of the temperature control device. It can be a temperature control unit arranged on the surface of the energy storage body. The temperature control unit can be a controllable fan for cooling or heating the surface of the energy storage body to improve the stability of the energy storage body. Of course, it can also be other forms as long as it can change the temperature of the surface of the energy storage body. This will not be repeated.

[0103] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

Claims

1. A temperature-sensitive electricity forecasting method based on multi-source data fusion, characterized in that: include: Obtaining the temperature sensitivity test of the electrolyte sample corresponding to the energy storage body to obtain the temperature-sensitive characteristics, including heating the electrolyte sample to different temperature ranges, obtaining the conductivity change rate of the electrolyte sample in different temperature ranges and the change rate of the number of solvated clusters; Calculating temperature-sensitive characterization parameters of the energy storage body in different temperature intervals based on the temperature-sensitive characteristics to classify the temperature-sensitive categories of the energy storage body in different temperature intervals; Monitor the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and perform prediction analysis on the energy storage body based on the temperature range in which the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature range, including: Based on the temperature difference between the current energy supply terminal and the output terminal, determine whether the energy storage body has entered the sensitive impact stage, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard according to the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body; Or, based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, so as to control the temperature control device to perform temperature compensation on the energy storage body.

2. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: The process of calculating the temperature-sensitive characterization parameter of the energy storage body includes: Determine the ratio of the conductivity change rate of the electrolyte sample to the reference conductivity change rate as a conductivity change rate influencing factor; Determine the ratio of the number change rate of the solvated clusters to the reference number change rate as the number change rate influencing factor; The temperature-sensitive characterization parameter is obtained by weighted summing the conductivity change rate influencing factor and the quantity change rate influencing factor.

3. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: The energy storage body is divided into temperature-sensitive categories in different temperature ranges based on the temperature-sensitive characterization parameters, wherein: If the temperature-sensitive characterization parameter is greater than the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a highly sensitive category; If the temperature-sensitive characterization parameter is less than or equal to the reference temperature-sensitive characterization parameter, the temperature-sensitive category of the energy storage body is classified as a weakly sensitive category.

4. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: The process of predicting and analyzing the energy storage body includes: Obtaining the real-time temperature of the energy supply terminal and the output terminal of the energy storage body, and determining the temperature range where the current maximum temperature value is located; If the temperature-sensitive category of the energy storage body within the temperature range is a strongly sensitive category, determine whether it has entered the sensitive impact stage based on the temperature difference between the current energy supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the temperature-sensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change in the internal resistance of the energy storage body, so as to control the temperature control device to perform temperature compensation on the energy storage body; If the temperature-sensitive category of the energy storage body within the temperature range is a weakly sensitive category, whether the efficiency loss of the energy storage body meets the standard is predicted based on the duration of the temperature difference, so as to control the temperature control device to perform temperature compensation on the energy storage body.

5. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: Based on the temperature difference between the current energy supply terminal and the output terminal, it is determined whether the energy storage body has entered the sensitive impact stage, wherein: If the temperature difference is greater than or equal to the reference temperature difference, it is determined that the energy storage body enters the sensitive impact stage.

6. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: The discharge power and / or storage power of the energy storage body is adjusted according to the temperature-sensitive characterization parameter, wherein: The discharge power and / or storage power is reduced, and the reduction amount is positively correlated with the temperature-sensitive characterization parameter.

7. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: The process of determining the change in internal resistance of the energy storage body includes: Determine the first internal resistance value of the energy storage body when it enters the sensitive impact stage; Determine a second internal resistance value of the energy storage body after a predetermined reference time has passed; The internal resistance change is determined according to the first internal resistance value and the second internal resistance value.

8. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: Predicting whether the efficiency loss of the energy storage body meets the standard according to the change in the internal resistance of the energy storage body, wherein: If the internal resistance change is within the reference change threshold, the efficiency loss meets the standard; If the internal resistance change is not within the reference change threshold, the efficiency loss does not meet the standard, and temperature compensation is performed on the energy storage body.

9. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: Based on the duration of the temperature difference, it is predicted whether the efficiency loss of the energy storage body meets the standard, wherein: If the duration of the temperature difference is greater than or equal to the reference temperature difference duration threshold, the efficiency loss does not meet the standard, and the temperature control device is controlled to perform temperature compensation on the energy storage body; Wherein, the temperature difference needs to be greater than the reference temperature difference.

10. The temperature-sensitive electricity forecasting method based on multi-source data fusion according to claim 1 is characterized in that: Temperature compensation includes heating or cooling corresponding parts of the energy storage body so that the temperature difference between each part is less than a predetermined threshold.

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