A method for predicting temperature-sensitive electricity consumption based on multi-source data fusion

Abstract

The present invention relates to the technical field of power data processing, and in particular to a temperature-sensitive power prediction method based on multi-source data fusion. The present invention calculates the temperature-sensitive characterization parameters of the energy storage body in different temperature ranges, divides the temperature-sensitive categories, monitors the real-time temperatures of the energy supply terminal and the output terminal of the energy storage body to determine the temperature range it is in, combines the temperature-sensitive categories to perform predictive analysis on the energy storage body, determines whether it enters the sensitive impact stage, adjusts the discharge power and / or the storage power of the energy storage body, and predicts whether the efficiency loss meets the standard based on the change amount of the internal resistance of the energy storage body, or predicts whether the efficiency loss meets the standard based on the duration of the temperature difference, and controls the temperature control device to perform temperature compensation on the energy storage body. The present invention takes into account the influence of the heat sensitivity of different electrolytes and the temperature difference caused by the asynchrony of the energy supply terminal and the output terminal on the charge and discharge efficiency of the energy storage body, adaptively performs temperature compensation, reduces the efficiency loss of the energy storage body, and improves the battery stability.

Description

Technical Field

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

[0002] Electric energy is an essential resource in today's society. When storing excess electric energy in the power grid, energy storage technology is involved. Energy storage technology refers to the technology of storing energy in the form of electric energy through different media and releasing it when needed. As a new type of energy storage technology, energy storage bodies have broad application prospects and promote the clean and efficient use of global energy.

[0003] Chinese Patent Publication No.: CN116014295A discloses a sodium-ion battery energy storage module. The control module is used to determine the total amount of electricity for the current charging behavior of the energy storage cabinet, generate the charging time for the current charging behavior according to the charging strategy, and divide the charging time according to the charging strategy to obtain the first charging time for each charging stage of the charging strategy and the amount of electricity charged; calculate the second charging time for 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 for each charging stage based on the real-time electricity of each sodium-ion battery and the input amount of electricity at the first charging time, and simulate the temperature data of each sodium-ion battery based on the energy loss of each charging stage and the size information of the sodium-ion battery; control the output power of the cooling system according to the temperature data to perform heat dissipation management on multiple sodium-ion batteries.

[0004] However, the following problems still exist in the prior art.

[0005] In actual situations, there may be a certain degree of asynchrony in the working states of the power supply terminals or output terminals of large energy storage bodies, and different powers corresponding to the working of the power supply terminals or output terminals result in different heat generations. The large terminals generate higher heat. Due to heat spread, it is easy to cause different temperatures in different regions of the energy storage body. Moreover, due to the different sensitivities of the electrolytes of different energy storage bodies to temperature and different property changes, under the above factors, it is easy to cause differences in the properties of different regions of the electrolyte of the energy storage body, affecting the charge and discharge efficiency of the energy storage body. Summary of the Invention

[0006] Therefore, the present invention provides a temperature-sensitive power prediction method based on multi-source data fusion to solve the problems in the prior art that do not consider the sensitivity of the electrolyte of the energy storage body to temperature and that the properties of the electrolyte of the energy storage body are affected by the temperature difference of the power supply terminals or output terminals during the working process of the energy storage body, thereby affecting the charge and discharge efficiency of the energy storage body.

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

[0008] Obtain the electrolyte sample corresponding to the energy storage body for thermosensitivity testing to obtain thermosensitive characteristics, including heating the electrolyte sample to different temperature ranges respectively, and obtaining the change rate of the conductivity of the electrolyte sample and the change rate of the number of solvation clusters within different temperature ranges;

[0009] Calculate the thermosensitive characterization parameters of the energy storage body within different temperature ranges based on the thermosensitive characteristics to classify the thermosensitive categories of the energy storage body within different temperature ranges;

[0010] Monitor the real-time temperatures of the energy supply terminal and the output terminal of the energy storage body, and perform predictive analysis on the energy storage body based on the temperature range where the real-time temperature is located and the thermosensitive category of the energy storage body within the corresponding temperature range, including,

[0011] Determine whether the energy storage body enters the sensitive influence 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 thermosensitive characterization parameters, and predict whether the efficiency loss of the energy storage body meets the standard based on the change amount of 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, predict 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.

[0013] Further, the process of calculating the thermosensitive characterization parameters of the energy storage body includes,

[0014] Determine that the ratio of the change rate of the conductivity of the electrolyte sample to the reference change rate of the conductivity is the conductivity change rate influence factor;

[0015] Determine that the ratio of the change rate of the number of solvation clusters to the reference change rate of the number is the number change rate influence factor;

[0016] Weighted sum the conductivity change rate influence factor and the number change rate influence factor to obtain the thermosensitive characterization parameter.

[0017] Further, classify the thermosensitive categories of the energy storage body within different temperature ranges based on the thermosensitive characterization parameters, where,

[0018] If the thermosensitive characterization parameter is greater than the reference thermosensitive characterization parameter, classify the thermosensitive category of the energy storage body as a strong sensitive category;

[0019] If the thermosensitive characterization parameter is less than or equal to the reference thermosensitive characterization parameter, classify the thermosensitive category of the energy storage body as a weak sensitive category.

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

[0021] acquiring the real-time temperatures of the power 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 thermosensitive category of the energy storage body in the temperature range is a strong sensitive category, determine whether it enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the thermosensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change amount of 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 thermosensitive category of the energy storage body in the temperature range is a weak sensitive category, predict 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.

[0024] Further, determine whether the energy storage body enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, where

[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 influence stage.

[0026] Further, adjust the discharge power and / or storage power of the energy storage body according to the thermosensitive characterization parameter, where

[0027] Reduce the discharge power and / or storage power, and the reduction amount is positively correlated with the thermosensitive characterization parameter. Further, the process of determining the change amount of the internal resistance of the energy storage body includes

[0028] determining the first internal resistance value when the energy storage body enters the sensitive influence stage;

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

[0030] Determine the change amount of the internal resistance according to the first internal resistance value and the second internal resistance value.

[0031] Further, predict whether the efficiency loss of the energy storage body meets the standard based on the change amount of the internal resistance of the energy storage body, where

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

[0033] If the change amount of the internal resistance 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, predict whether the efficiency loss of the energy storage body meets the standard, where

[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 control the temperature control device to perform temperature compensation on the energy storage body;

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

[0037] Further, performing temperature compensation includes heating or cooling the corresponding parts of the energy storage body to make the temperature difference between each part less than the predetermined threshold.

[0038] Compared with the prior art, the present invention obtains the temperature-sensitive characteristics, calculates the temperature-sensitive characterization parameters of the energy storage body in different temperature ranges based on the temperature-sensitive characteristics, classifies the temperature-sensitive categories, monitors the real-time temperatures of the power supply terminal and the output terminal of the energy storage body to determine the temperature range, combines the temperature-sensitive categories to perform predictive analysis on the energy storage body, determines whether it enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, 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 amount of 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 considers the influence of the heat sensitivity of different electrolytes and the temperature difference caused by the asynchronous operation of the power supply terminal and the output terminal on the charge and discharge efficiency of the energy storage body, adaptively performs temperature compensation, reduces the efficiency loss of the energy storage body, and improves the battery stability.

[0039] In particular, the present invention considers performing temperature-sensitive tests on different electrolytes to obtain temperature-sensitive characteristics, and then calculates the temperature-sensitive characterization parameters. In actual situations, the electrolytes in different energy storage bodies are different, and the sensitivities to property changes caused by temperature are also different. Temperature will affect the conductivity of the electrolyte and the generation of solvation clusters. The change rate of conductivity and the change rate of the number of solvation clusters can characterize the sensitivity of the electrolyte to temperature. Moreover, in different temperature ranges, the influence of temperature on different electrolytes is different. Therefore, considering determining the temperature-sensitive characteristics of the energy storage body in different temperature ranges provides data support for determining the temperature-sensitive categories of the energy storage body in different temperature ranges, facilitating subsequent adaptive predictive analysis of the energy storage body, adaptively performing temperature compensation, reducing the efficiency loss of the energy storage body, and improving the battery stability.

[0040] In particular, the present invention monitors the real-time temperatures of the power supply terminals and output terminals of the energy storage body, and performs predictive 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 within the corresponding temperature range. In actual situations, the electrolyte in some energy storage bodies is highly sensitive to temperature. In particular, there may be a certain asynchrony in the working states of the power supply terminals or output terminals of large energy storage bodies, and they are often arranged on both sides of the energy storage body. Due to actual requirements, the powers corresponding to the power supply terminals or output terminals during operation may be different, resulting in different amounts of heat generated. Due to heat spread, it is easy to cause temperature differences in different regions of the energy storage body, which in turn affects the properties of the electrolyte inside the energy storage body, resulting in differences in the properties of the electrolyte, imbalance in the electricity storage capacity of each region, differences in the electro-chemical reaction rate, and affects the electricity storage efficiency and charging efficiency. Therefore, the present invention monitors the real-time temperatures of the power supply terminals and output terminals of the energy storage body. For the situation where it is in the strongly sensitive category within the temperature range, due to high sensitivity and rapid property changes, the present invention timely determines whether the energy storage body enters the sensitive influence stage, adaptively restricts the discharge power or / and the electricity storage power, reduces heat loss and internal polarization, alleviates the influence brought by the change in the properties of the electrolyte, and timely 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 the battery stability.

[0041] In particular, for the energy storage body in the weakly sensitive category within the temperature range, the rate of change of the properties of the electrolyte is slow. Considering long-term monitoring, for the long-term temperature difference, the temperature control device is controlled to perform temperature compensation on the energy storage body. Furthermore, energy is saved, the efficiency loss of the energy storage body is reduced, and the battery stability is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 Schematic diagram of the method steps of the temperature-sensitivity power prediction method based on multi-source data fusion according to the embodiment of the invention;

[0043] Figure 2 Logic block diagram for dividing the temperature-sensitive categories of the energy storage body in different temperature ranges according to the embodiment of the invention;

[0044] Figure 3 Logic block diagram for determining whether the energy storage body according to the embodiment of the invention enters the sensitive influence stage;

[0045] Figure 4 Logic block diagram for determining whether the efficiency loss of the strongly sensitive category energy storage body according to the embodiment of the invention meets the standard;

[0046] Figure 5 Logic block diagram for determining whether the efficiency loss of the weakly sensitive category energy storage body according to the embodiment of the invention meets the standard. DETAILED DESCRIPTION OF THE INVENTION

[0047] To make the objectives and advantages of the present invention more clearly understood, the present invention will be 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 will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0049] It should be noted that in the description of the present invention, unless otherwise clearly defined and limited, the terms "installation", "connection", and "connection" 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 directly connected or indirectly connected through an intermediate medium, and it can be the communication inside 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] Please refer to Figures 1 to 5 as shown in Figure 1 a schematic diagram of the method steps of the temperature-sensitive power prediction method based on multi-source data fusion for the invention embodiment, Figure 2 a logic block diagram for dividing the temperature-sensitive categories of the energy storage body in different temperature ranges in the invention embodiment, Figure 3 a logic block diagram for determining whether the energy storage body in the invention embodiment enters the sensitive influence stage, Figure 4 a logic block diagram for determining whether the efficiency loss of the strongly sensitive category energy storage body in the invention embodiment meets the standard, Figure 5 a logic block diagram for determining whether the efficiency loss of the weakly sensitive category energy storage body in the invention embodiment meets the standard. The temperature-sensitive power prediction method based on multi-source data fusion of the present invention includes:

[0051] Step S1, obtaining the electrolyte sample corresponding to the energy storage body for temperature sensitivity test to obtain temperature-sensitive characteristics, including heating the electrolyte sample to different temperature ranges respectively, and obtaining the conductivity change rate of the electrolyte sample and the number change rate of the solvation clusters in different temperature ranges;

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

[0053] Step S3, monitoring the real-time temperatures of the energy supply terminal and the output terminal of the energy storage body, and performing predictive analysis on the energy storage body based on the temperature range where the real-time temperature is located and the temperature-sensitive category of the energy storage body in the corresponding temperature range, including,

[0054] Determine whether the energy storage body enters the sensitive influence stage based on the temperature difference between the current power 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 amount of 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, predict 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.

[0056] It can be understood that the temperature-sensitive test is carried out in a laboratory environment. To ensure the accuracy of the experimental results, at least three experiments need to be carried out, and the experimental data needs to be cleaned to determine the effective data results.

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

[0058] Specifically, there is no specific limitation on the detection method of the number of solvation clusters. It can be detected by spectroscopic techniques. Of course, other methods can also be used. The change rate of the number of solvation clusters is the ratio of the change amount of the number within the reference time to the reference time.

[0059] It can be understood that the sensitivity of the electrolyte to temperature is different at different temperatures. Therefore, the electrolyte samples in different temperature ranges may have different conductivity change rates and different change rates of the number of solvation clusters. The division dimension of the temperature range is divided by the highest temperature that the output terminal of the energy storage body can emit, usually 5% to 10% of the highest 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 can be set at the power supply terminal and the output terminal of the energy storage body, as long as the real-time temperature of the energy storage body can be monitored, which will not be elaborated here.

[0061] In the embodiment, taking a large-scale energy storage power station as an example of the energy storage body, the energy storage body usually includes an output terminal and a power supply terminal to correspondingly receive and store electric energy and output the stored electric energy. In actual applications, there is asynchrony between the input electric energy and the output electric energy. Due to energy conversion reasons, a large temperature will be generated when the output terminal and the power supply terminal work.

[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 the conductivity change rate influence factor;

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

[0065] Weighted sum the conductivity change rate influence factor and the number change rate influence factor to obtain the temperature-sensitive characterization parameter.

[0066] Specifically, the reference conductivity change rate and the reference number change rate are preset. Among them, obtain the temperature-sensitive characteristics of the temperature-sensitive detection for several electrolyte samples, that is, the conductivity change rate and the change rate of the number of solvation clusters, solve the average value of the conductivity change rate and the average value of the number change rate, set the reference conductivity change rate to 0.95 times the average value of the conductivity change rate, and set the reference number change rate to 0.85 times the average value of the number change rate.

[0067] Specifically, the corresponding weight coefficients when weighted-summing the conductivity change rate influence factor and the number change rate influence factor are 0.65 and 0.35 respectively.

[0068] Specifically, the present invention considers performing temperature-sensitive tests on different electrolytes to obtain temperature-sensitive characteristics, and then calculates the temperature-sensitive characterization parameter. In actual situations, the electrolytes in different energy storage bodies are different, and the sensitivities to property changes caused by temperature are also different. Temperature will affect the conductivity of the electrolyte and the generation of solvation clusters. The conductivity change rate and the change rate of the number of solvation clusters can characterize the sensitivity of the electrolyte to temperature. Moreover, within different temperature ranges, the influence of temperature on different electrolytes is different. Therefore, consider determining the temperature-sensitive characteristics of the energy storage body in different temperature ranges to provide data support for determining the temperature-sensitive categories of the energy storage body in different temperature ranges, facilitating subsequent predictive analysis of the energy storage body, adaptively performing temperature compensation, reducing the efficiency loss of the energy storage body, and improving the battery stability.

[0069] Specifically, divide the temperature-sensitive categories of the energy storage body in different temperature ranges based on the temperature-sensitive characterization parameter, where

[0070] If the temperature-sensitive characterization parameter is greater than the reference temperature-sensitive characterization parameter, then divide the temperature-sensitive category of the energy storage body into the strong-sensitive category;

[0071] If the temperature-sensitive characterization parameter is less than or equal to the reference temperature-sensitive characterization parameter, then divide the temperature-sensitive category of the energy storage body into the weak-sensitive category.

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

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

[0074] Obtaining the real-time temperatures of the power supply terminal and the output terminal of the energy storage body, determining the temperature range where the current maximum temperature value is located, and the current maximum temperature value is the larger value between the real-time temperature of the power supply terminal and the real-time temperature of the output terminal.

[0075] If the thermosensitive category of the energy storage body in the temperature range is a strong sensitive category, it is determined whether to enter the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, and the discharge power and / or storage power of the energy storage body are adjusted according to the thermosensitive characterization parameter, and it is predicted whether the efficiency loss of the energy storage body meets the standard based on the change amount of 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 thermosensitive category of the energy storage body in the temperature range is a weak sensitive category, it is predicted 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.

[0077] Specifically, the present invention monitors the real-time temperatures of the power supply terminal and the output terminal of the energy storage body, and performs predictive analysis on the energy storage body based on the temperature range where the real-time temperature is located and the thermosensitive 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, there may be a certain asynchrony in the working states of the power supply terminals or output terminals of large energy storage bodies, and they are often arranged on both sides of the energy storage body. Due to actual requirements, the corresponding powers of the power supply terminals or output terminals during operation may be different, resulting in different amounts of heat generation. Due to heat spread, it is easy to cause temperature differences in different regions of the energy storage body, which in turn affects the properties of the electrolyte inside the energy storage body, resulting in differences in electrolyte properties, imbalance in the storage capacity of each region, differences in the electrochemical reaction rate, and affecting the storage efficiency and charging efficiency. Therefore, the present invention monitors the real-time temperatures of the power supply terminal and the output terminal of the energy storage body. For the case of being in the strong sensitive category within the temperature range, due to high sensitivity and rapid property changes, the present invention timely determines whether the energy storage body enters the sensitive influence stage, adaptively limits the discharge power and / or storage power, reduces heat loss and internal polarization, alleviates the influence brought by the change of electrolyte properties, and timely determines to use the temperature control device to perform temperature compensation on the energy storage body, reduces the efficiency loss of the energy storage body, and improves the battery stability.

[0078] Specifically, it is determined whether the energy storage body enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, where

[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 influence stage.

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

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

[0082] the discharge power and / or the power storage are 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 amount of the discharge power and / or the power storage is 0.35 times the original discharge power and / or the original power storage;

[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 amount of the discharge power and / or the power storage is 0.25 times the original discharge power and / or the original power storage;

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

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

[0087] determining the first internal resistance value at the moment when the energy storage body enters the sensitive influence stage;

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

[0089] determining the change amount of the internal resistance according to the first internal resistance value and the second internal resistance value, and the change amount of the internal resistance 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 be 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 obtained. Those skilled in the art can select according to the actual situation. This is the prior art and will not be elaborated here.

[0092] Specifically, it is predicted whether the efficiency loss of the energy storage body meets the standard according to the change amount of the internal resistance of the energy storage body, where

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

[0094] If the change in internal resistance 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 can be understood that in a non-laboratory environment, the change in internal resistance can characterize the change in the properties of the electrolyte due to temperature or temperature difference.

[0096] Specifically, the reference change threshold is set in advance. Among them, the change in internal resistance of several strongly sensitive types of energy storage bodies after entering the sensitive influence stage is measured in advance within a predetermined reference time, and the average value of the change is solved. The reference change threshold is set between 0.65 times and 0.75 times the average value 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, where

[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] Among them, the temperature difference needs to be greater than the reference temperature difference.

[0100] Specifically, the reference temperature difference duration threshold is obtained by pre-measurement. The internal resistance of several weakly sensitive types of energy storage bodies is measured in advance, and the duration required for the change in internal resistance to reach the reference change threshold is determined. The average value of the duration is solved, and the reference temperature difference duration threshold is set to 0.85 times the average value of the duration.

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

[0102] Specifically, the specific structure of the temperature control device is not limited. 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 used to cool or heat the surface of the energy storage body to improve the stability of the energy storage body. Of course, it can also be in other forms, as long as it can change the temperature of the surface of the energy storage body, which will not be elaborated here.

[0103] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the 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 replacements to the relevant technical features, and the technical solutions after these changes or replacements will all fall within the protection scope of the present invention.

Claims

1. A temperature-sensitive power consumption prediction method based on multi-source data fusion, characterized in that, Including: Obtain an electrolyte sample corresponding to the energy storage body for a thermosensitivity test to obtain thermosensitive characteristics, including heating the electrolyte sample to different temperature ranges respectively, and obtaining the change rate of the conductivity of the electrolyte sample and the change rate of the number of solvation clusters within different temperature ranges; Calculate the thermosensitive characterization parameter of the energy storage body within different temperature ranges based on the thermosensitive characteristics to classify the thermosensitive categories of the energy storage body within different temperature ranges; Monitor the real-time temperatures of the power supply terminal and the output terminal of the energy storage body, and perform predictive analysis on the energy storage body based on the temperature range where the real-time temperature is located and the thermosensitive category of the energy storage body within the corresponding temperature range, including, Determine whether the energy storage body enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the thermosensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change amount of 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, predict 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 process of calculating the thermosensitive characterization parameter of the energy storage body includes, Determine that the ratio of the change rate of the conductivity of the electrolyte sample to the reference conductivity change rate is the conductivity change rate influence factor; Determine that the ratio of the change rate of the number of solvation clusters to the reference number change rate is the number change rate influence factor; Perform weighted summation on the conductivity change rate influence factor and the number change rate influence factor to obtain the thermosensitive characterization parameter; Classify the thermosensitive categories of the energy storage body within different temperature ranges based on the thermosensitive characterization parameter, where, If the thermosensitive characterization parameter is greater than the reference thermosensitive characterization parameter, classify the thermosensitive category of the energy storage body as a strong sensitive category; If the thermosensitive characterization parameter is less than or equal to the reference thermosensitive characterization parameter, classify the thermosensitive category of the energy storage body as a weak sensitive category.

2. The method for predicting temperature-sensitive electricity consumption based on multi-source data fusion according to claim 1, characterized in that The process of performing predictive analysis on the energy storage body includes, Obtain the real-time temperatures of the power supply terminal and the output terminal of the energy storage body, and determine the temperature range where the current maximum temperature value is located; If the thermosensitive category of the energy storage body within the temperature range is a strong sensitive category, determine whether it enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, adjust the discharge power and / or storage power of the energy storage body according to the thermosensitive characterization parameter, and predict whether the efficiency loss of the energy storage body meets the standard based on the change amount of 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 thermosensitive category of the energy storage body within the temperature range is a weak sensitive category, predict 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.

3. The temperature-sensitive power consumption prediction method based on multi-source data fusion according to claim 1, characterized in that Determine whether the energy storage body enters the sensitive influence stage based on the temperature difference between the current power supply terminal and the output terminal, where, If the temperature difference is greater than or equal to the reference temperature difference, determine that the energy storage body enters the sensitive influence stage.

4. The temperature sensitivity power consumption prediction method based on multi-source data fusion according to claim 1, characterized in that Adjust the discharge power and / or storage power of the energy storage body according to the thermosensitive characterization parameter, where, Reduce the discharge power and / or the power storage, and the reduction amount is positively correlated with the temperature-sensitive characterization parameter.

5. The method for predicting temperature-sensitive electricity consumption based on multi-source data fusion according to claim 1, wherein The process of determining the internal resistance change amount of the energy storage body includes determining the first internal resistance value at the moment when the energy storage body enters the sensitive influence stage; determining the second internal resistance value of the energy storage body after a predetermined reference time; determining the internal resistance change amount based on the first internal resistance value and the second internal resistance value.

6. The temperature-sensitive power consumption prediction method based on multi-source data fusion according to claim 1, characterized in that Predict whether the efficiency loss of the energy storage body meets the standard according to the internal resistance change amount of the energy storage body, where if the internal resistance change amount is within the reference change threshold, the efficiency loss meets the standard; if the internal resistance change amount 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.

7. The temperature-sensitivity power consumption prediction method based on multi-source data fusion according to claim 1, wherein Predict whether the efficiency loss of the energy storage body meets the standard based on the duration of the temperature difference, where 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.

8. The temperature-sensitive power consumption prediction method based on multi-source data fusion according to claim 1, wherein, Performing temperature compensation includes heating or cooling the corresponding part of the energy storage body so that the temperature difference between each part is less than a predetermined threshold.

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