An immersion liquid-cooled energy storage battery box and a temperature control optimization method thereof

Abstract

The present invention provides an immersion-type liquid-cooled energy storage battery box and a temperature control optimization method thereof, including: real-time monitoring of the temperature of each battery cell, obtaining the dynamic temperature data of the battery cell, and generating a battery cell temperature change diagram; intelligent analysis is performed based on the battery cell temperature change diagram to determine whether the battery cell temperature is abnormal and determine the battery cell with abnormal temperature; based on the battery cell temperature change corresponding to the abnormal temperature battery cell, the optimal liquid flow rate is determined, and the flow rate of the coolant corresponding to the abnormal temperature battery cell is adjusted based on the optimal liquid flow rate; according to the time period-flow rate control strategy combined with the current solar radiation angle, the coolant flow rate in the hollow flow channel corresponding to the normal temperature battery cell is adaptively adjusted. The present invention is conducive to reducing the temperature difference between each battery cell in the energy storage battery box, prolonging the battery cell life, realizing precise control of the liquid cooling of the battery cell in the energy storage box, and controlling the liquid cooling energy consumption while ensuring that the battery cell temperature is maintained at a certain level, thereby reducing the energy storage cost.

Description

Technical Field

[0001] The present invention relates to the technical field of cooling control of energy storage battery boxes, and in particular to an immersion liquid-cooled energy storage battery box and a temperature control optimization method thereof. Background Art

[0002] Currently, both power batteries and energy storage batteries are using zinc ion batteries, lithium ion batteries or other ion chemical ion batteries on a large scale. During the battery regeneration process, frequent ion exchanges occur inside the chemical battery, which inevitably generates heat. This chemical reaction has a great influence on the reaction environment temperature. Too high or too low a temperature will cause the internal reaction of the battery to be slow or insufficient, resulting in the problem of low battery charge and discharge efficiency. If the thermal effect is severe, it may also lead to thermal runaway and cause battery explosion.

[0003] Existing energy storage battery cooling mainly relies on liquid cooling, but most liquid cooling devices achieve battery cooling by uniformly controlling the cooling flow rate and flow rate in the cooling pipe inside the battery. Although this method can also achieve battery heat dissipation, due to too many influencing factors of the external environment, it may cause the problem of uneven temperature of multiple battery cells inside the battery box. It may occur that the temperature of some battery cells in the battery box reaches the operating temperature while the temperature of some battery cells cannot reach the operating temperature range, making it impossible to solve the problem of uneven temperature inside the battery box. The uneven temperature inside the battery box may cause the charging and discharging efficiency of the battery cells that are not in the operating temperature range to decrease, or even damage the battery cells, affecting the charging and discharging of the entire battery and increasing the energy storage cost. Therefore, the present invention proposes an immersion liquid-cooled energy storage battery box and a temperature control optimization method thereof. Summary of the invention

[0004] The present invention provides an immersion liquid-cooled energy storage battery box and a temperature control optimization method thereof, to solve the above-mentioned problems.

[0005] The present invention provides a temperature control optimization method for an immersion liquid-cooled energy storage battery box, comprising:

[0006] Step 1: Monitor the temperature of each battery cell in real time, obtain the dynamic temperature data of the battery cell, and generate a battery cell temperature change graph;

[0007] Step 2: Perform intelligent analysis based on the battery cell temperature change diagram to determine whether the battery cell temperature is abnormal and identify the battery cell with abnormal temperature;

[0008] Step 3: determining an optimal liquid flow rate based on the temperature change of the battery cell corresponding to the battery cell with abnormal temperature, and adjusting the flow rate of the coolant corresponding to the battery cell with abnormal temperature based on the optimal liquid flow rate;

[0009] Step 4: According to the time period-flow rate control strategy and the current solar radiation angle, the coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature is adaptively adjusted.

[0010] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, step 1 comprises:

[0011] The temperature of multiple cells in the battery box is collected synchronously to obtain the dynamic temperature data of each cell;

[0012] The dynamic temperature data is numbered and stored in each directory file based on the cell number;

[0013] Based on the dynamic temperature data corresponding to each directory file, the battery cell temperature change graph is generated respectively.

[0014] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, step 2 comprises:

[0015] Based on the time sequence, multiple battery cell temperature change graphs are aligned, and according to the alignment results, it is determined whether the temperatures of all battery cells in the battery box are consistent;

[0016] If not, it is determined that the battery cell temperatures in the battery box are uneven, and multiple latest battery cell temperatures are obtained and clustered to determine the concentration interval of the current battery cell temperatures, and to determine whether the preset standard temperature is within the concentration interval;

[0017] If yes, the cell corresponding to the cell temperature in the non-concentrated area is regarded as the cell with abnormal temperature;

[0018] If not, it is determined that the temperature of the battery cells in the battery box is abnormal, and a temperature warning signal is generated;

[0019] If they are consistent, it is determined that the temperature of the battery cells in the battery box is balanced.

[0020] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, when the preset standard temperature is within a concentrated range, the method includes:

[0021] When the preset standard temperature is within the concentrated interval, obtaining the interval width corresponding to the concentrated interval, and determining whether the interval width is greater than a preset value;

[0022] If yes, based on the preset interval width corresponding to the preset value and taking the preset standard temperature as the interval center, the expected concentrated interval is obtained, and the expected concentrated interval is compared with the concentrated interval to obtain the non-expected sub-interval;

[0023] Calculate the residual between the temperature of each battery cell in the non-expected sub-interval and the preset standard temperature, generate a residual sequence, cluster the data in the residual sequence to obtain multiple residual data clusters, calculate the concentration coefficient of each residual data cluster, and determine the concentrated center cluster of the residual sequence based on the concentration coefficient;

[0024] Based on the centralized center cluster, an average residual is obtained, and the preset standard temperature is corrected according to the average residual to obtain a new preset standard temperature;

[0025] If not, then obtain the average battery cell temperature corresponding to the concentrated interval, obtain the temperature error probability between the average battery cell temperature and the preset standard temperature, and when the temperature error probability is greater than a preset threshold, use the average battery cell temperature as a new preset standard temperature;

[0026] Otherwise, keep the original preset standard temperature unchanged.

[0027] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, step 3 comprises:

[0028] Based on the cell temperature change graph corresponding to the cell with abnormal temperature, the abnormal temperature change characteristics of the cell with abnormal temperature are extracted, and the average cell temperature of the cell with normal temperature at each moment is obtained as the reference temperature, and a reference temperature change graph is generated based on the reference temperature, and based on the reference temperature change graph, the reference temperature change characteristics are extracted;

[0029] Comparing the abnormal temperature change characteristics with the reference temperature change characteristics to obtain the abnormal temperature characteristics;

[0030] Obtaining the coolant flow rate corresponding to the normal temperature battery cell and its corresponding actual temperature, and obtaining the flow rate difference between the coolant flow rate and the current coolant flow rate of the current abnormal temperature battery cell;

[0031] Determining an optimal liquid flow velocity based on the flow velocity difference and the abnormal temperature characteristics;

[0032] According to the optimal liquid flow velocity, the flow velocity of the coolant in the surrounding hollow flow channel corresponding to the battery cell with abnormal temperature difference is adjusted;

[0033] A temperature warning signal is obtained, the temperature warning signal is sent to the battery energy storage monitoring terminal, and the coolant flow rate in the hollow flow channels corresponding to all battery cells is simultaneously adjusted to the maximum flow rate.

[0034] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, determining the optimal liquid flow rate based on the flow rate difference and the abnormal temperature characteristics includes:

[0035] Based on the abnormal temperature characteristics, taking the reference temperature as a benchmark, determine the temperature node correspondence between the abnormal temperature battery cell and the normal temperature battery cell within a preset time, and establish a pairing node;

[0036] And based on the rising and falling relationship between the paired node and the upward adjacent temperature node, a node trend vector is generated;

[0037] According to the node trend vector corresponding to each group of paired nodes, the node error rate is obtained;

[0038] Based on the node error rate, determining the abnormality degree of the temperature abnormal cell, and when the abnormality degree is greater than a preset error value, taking the maximum flow rate as the optimal liquid flow rate;

[0039] Otherwise, the temperature-flow rate ratio corresponding to the battery cell with normal temperature is obtained, and based on the temperature-flow rate ratio and the current temperature corresponding to the battery cell with abnormal temperature, the optimal liquid flow rate corresponding to the battery cell with abnormal temperature is determined.

[0040] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, after the flow rate of the coolant in the surrounding hollow flow channel corresponding to the temperature-differential battery cell is adjusted to the optimal liquid flow rate, the method includes:

[0041] Synchronously obtain the real-time temperature change of the battery with abnormal temperature after adjusting to the optimal liquid flow rate, and judge whether the current flow rate control strategy is effective based on the real-time temperature change;

[0042] If it is invalid and the current flow rate is the maximum flow rate, a battery cell abnormality warning is generated and sent to the battery energy storage monitoring terminal;

[0043] If it is invalid and the current flow rate is not the maximum flow rate, adjust the current flow rate to the maximum flow rate and continue monitoring;

[0044] If valid, maintain the current flow rate, and after the cell temperature of the abnormally-temperature cell reaches the normal value, execute step 4.

[0045] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, it also includes:

[0046] Based on multiple historical temperature change data of each battery cell in the energy storage battery box, the flow rate control strategy for the time period is generated, including:

[0047] Acquire multiple historical temperature change data of each battery cell in the energy storage battery box, divide the multiple historical temperature change data based on the preset solar term classification, obtain the historical temperature change data of multiple time intervals, and generate multiple historical data clusters;

[0048] Preprocess each historical data cluster separately to obtain multiple historical data clusters of equal quantity;

[0049] Obtain the time pattern of the sun rising and setting corresponding to each time interval in the area where the energy storage battery box is located, and based on the time pattern and taking the sun's altitude as a reference, highly align the historical temperature change data of multiple historical temperature data clusters to obtain multiple vertical comparison columns, and determine the impact of solar term changes on temperature based on the vertical comparison columns;

[0050] Align the data in the historical data cluster for a certain period of time to obtain multiple historical temperature sub-data, and compare the multiple historical temperature sub-data corresponding to the same historical temperature data in the historical data cluster to determine the influence of the sun's altitude on the temperature in the same time interval;

[0051] At the same time, the solar term with the smallest impact on temperature is taken as the benchmark solar term;

[0052] Based on the reference solar terms, the influence of solar term changes on temperature corresponding to each solar term and the influence of the sun's altitude on temperature in the time interval corresponding to each solar term are standardized to obtain the solar term temperature influence coefficient and the sun's altitude influence coefficient;

[0053] Obtain the coolant flow rate corresponding to the period when the sun altitude has the least effect on the temperature in the reference solar term as the reference flow rate;

[0054] Based on the reference flow rate, combined with the influence of the sun's altitude on the temperature in the time interval corresponding to the reference solar term, determine the reference flow rate control strategy corresponding to the reference solar term in one day;

[0055] Based on the benchmark flow rate control strategy, combined with the air temperature influence coefficient and the solar altitude influence coefficient, the flow rate control strategy corresponding to the remaining solar terms is determined;

[0056] Get all flow rate control strategies, store them in lists based on solar terms and time periods, and generate time period--flow rate control strategies.

[0057] Preferably, in a temperature control optimization method for an immersion liquid-cooled energy storage battery box, step 4 comprises:

[0058] Obtaining the location of the energy storage battery box, determining the relative position of the energy storage battery box and the sun based on the location, and determining the direct illumination area of ​​the energy storage battery box according to the relative position;

[0059] According to the solar term corresponding to the current date and the time period, based on the time period-flow rate control strategy, determine the prediction adjustment strategy corresponding to the battery cell with normal temperature;

[0060] At the same time, determine whether the battery cell with normal temperature is in the direct sunlight area. If so, obtain the solar term corresponding to the current date and the solar intensity corresponding to the time period in the area where the energy storage battery box is located, and based on the solar intensity, predict the difference in ambient temperature between the battery cell with normal temperature and the battery cell in the indirect sunlight area of ​​the energy storage battery box;

[0061] Based on the predicted difference in ambient temperature, the predicted cell temperature in the prediction adjustment strategy is corrected, and the time period-flow rate control strategy is queried according to the corrected cell temperature to obtain the best adjustment strategy;

[0062] If not, the predicted adjustment strategy is used as the best adjustment strategy;

[0063] The coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature is adjusted based on the optimal adjustment strategy.

[0064] Preferably, a temperature control optimization method for an immersion liquid-cooled energy storage battery box is applicable to an immersion liquid-cooled energy storage battery box, comprising: a shell, a battery cell, a hollow flow channel and a fire protection system, wherein:

[0065] The shell is welded from aluminum profiles;

[0066] The hollow flow channel is distributed around each battery cell, and the liquid inlet of the hollow flow channel is located at the bottom of the inner side of the shell, which is used to add coolant into the hollow flow channel;

[0067] The fire fighting system is located at the top of the inner side of the shell, and is used to send a fire fighting alarm to the monitoring end when a fire occurs inside the battery box.

[0068] Compared with the prior art, the present invention has at least the following beneficial effects:

[0069] The present invention monitors the temperature of each battery cell in real time, obtains the dynamic temperature data of the battery cell, generates a battery cell temperature change diagram, realizes synchronous real-time monitoring of multiple battery cells in the battery box, and is conducive to timely discovering the liquid cooling problem of a single battery cell; then, intelligent analysis is performed according to the battery cell temperature change diagram to determine whether the battery cell temperature is abnormal and determine the abnormal temperature battery cell, and automatically completes the positioning of the abnormal cooling battery cell while completing the temperature abnormality determination; and based on the battery cell temperature change corresponding to the abnormal temperature battery cell, the optimal liquid flow rate is determined, and the flow rate of the coolant corresponding to the abnormal temperature battery cell is adjusted based on the optimal liquid flow rate, so as to realize the precise control of the liquid cooling of the abnormal temperature battery cell, which is conducive to reducing the temperature difference between each battery cell in the energy storage battery box, prolonging the battery cell life, and reducing the energy storage cost. It is also possible to adaptively adjust the coolant flow rate in the hollow flow channel corresponding to the normal temperature battery cell according to the time period-flow rate control strategy and the current solar irradiation angle, so as to realize the precise control of the liquid cooling of the battery cell in the energy storage box, and control the liquid cooling energy consumption while ensuring that the battery cell temperature is maintained at a certain level, thereby reducing the energy storage cost.

[0070] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0071] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0073] Figure 1 It is a flow chart of a temperature control optimization method for an immersion liquid-cooled energy storage battery box of the present invention;

[0074] Figure 2 This is a flow chart of step 1 of a temperature control optimization method for an immersion liquid-cooled energy storage battery box of the present invention;

[0075] Figure 3 This is a flow chart of step 2 of a temperature control optimization method for an immersion liquid-cooled energy storage battery box of the present invention;

[0076] Figure 4 This is a flow chart of step 3 of a temperature control optimization method for an immersion liquid-cooled energy storage battery box of the present invention;

[0077] Figure 5 This is a flow chart of step 4 of a temperature control optimization method for an immersion liquid-cooled energy storage battery box of the present invention. DETAILED DESCRIPTION

[0078] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0079] Embodiment 1:

[0080] The present invention provides a temperature control optimization method for an immersion liquid-cooled energy storage battery box, such as Figure 1 As shown, including:

[0081] Step 1: Monitor the temperature of each battery cell in real time, obtain the dynamic temperature data of the battery cell, and generate a battery cell temperature change graph;

[0082] Step 2: Perform intelligent analysis based on the battery cell temperature change diagram to determine whether the battery cell temperature is abnormal and identify the battery cell with abnormal temperature;

[0083] Step 3: determining an optimal liquid flow rate based on the temperature change of the battery cell corresponding to the battery cell with abnormal temperature, and adjusting the flow rate of the coolant corresponding to the battery cell with abnormal temperature based on the optimal liquid flow rate;

[0084] Step 4: According to the time period-flow rate control strategy and the current solar radiation angle, the coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature is adaptively adjusted.

[0085] In this embodiment, the battery cell temperature change diagram refers to an image generated according to the real-time temperature changes of each battery cell in the energy storage battery box.

[0086] The beneficial effects of the above technical solution are as follows: the present invention monitors the temperature of each battery cell in real time, obtains the dynamic temperature data of the battery cell, generates a battery cell temperature change diagram, realizes synchronous real-time monitoring of multiple battery cells in the battery box, and is conducive to timely discovery of liquid cooling problems of a single battery cell; then, intelligent analysis is performed based on the battery cell temperature change diagram to determine whether there is an abnormality in the battery cell temperature and determine the battery cell with abnormal temperature, and automatically locates the battery cell with abnormal cooling while completing the temperature abnormality determination; and based on the battery cell temperature change corresponding to the battery cell with abnormal temperature, determines the optimal liquid flow rate, and adjusts the flow rate of the coolant corresponding to the battery cell with abnormal temperature based on the optimal liquid flow rate, so as to realize precise control of liquid cooling of the battery cell with abnormal temperature, which is conducive to reducing the temperature difference between the battery cells in the energy storage battery box, extending the battery cell life, and reducing the energy storage cost. It is also possible to adaptively adjust the coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature according to the time period-flow rate control strategy and the current solar radiation angle, so as to achieve precise control of the liquid cooling of the battery cell in the energy storage box, while ensuring that the battery cell temperature is maintained at a certain level, and control the liquid cooling energy consumption to reduce the energy storage cost.

[0087] Embodiment 2:

[0088] On the basis of Example 1, step 1, such as Figure 2 As shown, including:

[0089] Step 101: synchronously collecting the temperature of multiple battery cells in the battery box to obtain dynamic temperature data of each battery cell;

[0090] Step 102: numbering the dynamic temperature data based on the cell number and storing them in various directory files;

[0091] Step 103: Generate a cell temperature variation graph based on the dynamic temperature data corresponding to each directory file.

[0092] The beneficial effects of the above technical solution are as follows: the present invention synchronously collects the battery cell temperatures of multiple battery cells in the battery box, obtains dynamic temperature data of each battery cell, realizes one-to-one monitoring of energy storage cells in the battery box, and is conducive to timely discovery and positioning of battery cells with abnormal temperatures; the dynamic temperature data are numbered and stored in each directory file based on the battery cell number, thereby realizing orderly storage of data; and based on the dynamic temperature data corresponding to each directory file, a battery cell temperature change graph is generated respectively, thereby realizing visualization of the battery cell temperature inside the battery box, which is conducive to management personnel to view and quickly determine the battery cell temperature changes.

[0093] Embodiment 3:

[0094] Based on Example 1, step 2, such as Figure 3 As shown, including:

[0095] Based on the time sequence, multiple battery cell temperature change graphs are aligned, and according to the alignment results, it is determined whether the temperatures of all battery cells in the battery box are consistent;

[0096] If not, it is determined that the battery cell temperatures in the battery box are uneven, and multiple latest battery cell temperatures are obtained and clustered to determine the concentration interval of the current battery cell temperatures, and to determine whether the preset standard temperature is within the concentration interval;

[0097] If yes, the cell corresponding to the cell temperature in the non-concentrated area is regarded as the cell with abnormal temperature;

[0098] If not, it is determined that the temperature of the battery cells in the battery box is abnormal, and a temperature warning signal is generated;

[0099] If they are consistent, it is determined that the temperature of the battery cells in the battery box is balanced.

[0100] In this embodiment, the concentrated interval refers to the interval where the current temperatures of all the cells in the energy storage battery box are concentrated. The multiple of the width of the concentrated interval and the expected concentrated interval width is (0, 1.2). The smaller the span of the concentrated interval, the more balanced the temperature of the cells in the battery box.

[0101] In this embodiment, the preset standard temperature value is related to the ambient temperature, and the value range is 0-40°C.

[0102] In this embodiment, when the temperature of the battery cells in the battery box is balanced, the temperature of the battery cells is compared with a preset standard temperature to obtain a temperature difference, and based on the temperature difference, the flow rate of the coolant in the hollow flow channel is fine-tuned.

[0103] The beneficial effects of the above technical solution are as follows: the present invention processes and compares the temperatures of all the cells in the energy storage battery box, determines the cells with abnormal temperatures, and realizes automatic monitoring of the battery temperature in the energy storage battery box, which is conducive to timely detection of abnormal temperature cells or abnormal conditions of the battery box, and issues early warnings, automatically performs intelligent temperature control processing or reminds management personnel to handle it, so as to avoid the expansion of abnormal problems and cause unnecessary losses.

[0104] Embodiment 4:

[0105] On the basis of Example 3, when the preset standard temperature is within the concentrated interval, it includes:

[0106] Obtaining the interval width corresponding to the concentrated interval, and determining whether the interval width is greater than a preset value;

[0107] If yes, based on the preset interval width corresponding to the preset value and taking the preset standard temperature as the interval center, the expected concentrated interval is obtained, and the expected concentrated interval is compared with the concentrated interval to obtain the non-expected sub-interval;

[0108] Calculate the residual between the temperature of each battery cell in the non-expected sub-interval and the preset standard temperature to generate a residual sequence, classify the data in the residual sequence according to the preset temperature difference, obtain multiple residual data clusters, calculate the concentration coefficient of each residual data cluster, and determine the concentrated center cluster of the residual sequence based on the concentration coefficient;

[0109] Based on the centralized center cluster, an average residual is obtained, and the preset standard temperature is corrected according to the average residual to obtain a new preset standard temperature;

[0110] If not, then obtain the average battery cell temperature corresponding to the concentrated interval, obtain the temperature error probability between the average battery cell temperature and the preset standard temperature, and when the temperature error probability is greater than a preset threshold, use the average battery cell temperature as a new preset standard temperature;

[0111] Otherwise, keep the original preset standard temperature unchanged.

[0112] In this embodiment, the residual data cluster refers to a reference within the same interval, such as a residual between 2-4°C, and the preset temperature difference is 2°C by default.

[0113] In this embodiment, the concentration coefficient refers to the ratio of the amount of data in each residual data cluster to the total amount of data in the residual sequence.

[0114] In this embodiment, the concentrated center cluster refers to the residual data cluster with the largest concentration coefficient.

[0115] In this embodiment, the average residual refers to the average value of all data in the centralized center cluster.

[0116] In this embodiment, the average cell temperature refers to the average value of all cell temperatures within the concentrated interval. The temperature error probability refers to the ratio between the difference between the average cell temperature and the preset standard temperature and the preset standard temperature.

[0117] In this embodiment, the abnormal temperature of the battery cells in the battery box refers to the abnormal temperature of all the battery cells in the battery box as a whole.

[0118] The beneficial effects of the above technical solution are as follows: when the preset standard temperature is within the concentrated interval, the preset standard temperature is evaluated by the width of the concentrated interval, and the pre-examination standard temperature is corrected according to the evaluation result, so as to avoid the situation in which the batteries in the energy storage battery box generate more heat due to increased resistance or excessively high ambient temperature, or the battery cell temperature is low due to excessively low ambient temperature, which is beneficial to improving the accuracy of abnormal judgment of battery box cell temperature.

[0119] Embodiment 5:

[0120] Based on Example 1, step 3, as Figure 4 As shown, including:

[0121] Step 301: based on the battery cell temperature variation graph corresponding to the battery cell with abnormal temperature, extract the abnormal temperature variation characteristics of the battery cell with abnormal temperature, obtain the average battery cell temperature of the battery cell with normal temperature at each moment as the reference temperature, generate a reference temperature variation graph based on the reference temperature, and extract the reference temperature variation characteristics based on the reference temperature variation graph;

[0122] Step 302: Compare the abnormal temperature change feature with the reference temperature change feature to obtain the abnormal temperature feature;

[0123] Step 303: obtaining the coolant flow rate corresponding to the normal temperature battery cell and its corresponding actual temperature, and obtaining the flow rate difference between the coolant flow rate and the current coolant flow rate of the current abnormal temperature battery cell;

[0124] Step 304: determining an optimal liquid flow velocity based on the flow velocity difference and abnormal temperature characteristics;

[0125] Step 305: adjusting the flow rate of the coolant in the surrounding hollow flow channel corresponding to the battery cell with abnormal temperature difference according to the optimal liquid flow rate;

[0126] Step 306: Acquire a temperature warning signal, send the temperature warning signal to the battery energy storage monitoring terminal, and simultaneously adjust the coolant flow rate in the hollow flow channels corresponding to all battery cells to the maximum flow rate.

[0127] The beneficial effects of the above technical solution: the present invention realizes the autonomous regulation of the coolant of the battery cell with abnormal temperature, and adjusts the coolant in the hollow flow channel corresponding to the battery cell with abnormal temperature to a flow rate suitable for the current temperature, ensuring that the battery cell with abnormal temperature can be normally cooled to the preset standard temperature while avoiding energy waste, effectively avoiding the problem of abnormal battery charging and discharging caused by high temperature, and can also control the temperature of the battery cells in the energy storage battery box within a certain range, effectively avoiding the problem of temperature imbalance in the energy storage battery box.

[0128] Embodiment 6:

[0129] On the basis of Example 5, based on the flow rate difference and the abnormal temperature characteristics, determining the optimal liquid flow rate includes:

[0130] Based on the abnormal temperature characteristics, taking the reference temperature as a benchmark, determine the temperature node correspondence between the abnormal temperature battery cell and the normal temperature battery cell within a preset time, and establish a pairing node;

[0131] The temperature rise and fall relationship between the base temperature pair node and the upward adjacent temperature node is combined to generate a node trend vector;

[0132] According to the node trend vector corresponding to each group of paired nodes, the node error rate is obtained;

[0133] Based on the node error rate, determining the abnormality degree of the temperature abnormal cell, and when the abnormality degree is greater than a preset error value, taking the maximum flow rate as the optimal liquid flow rate;

[0134] Otherwise, the temperature-flow rate ratio corresponding to the battery cell with normal temperature is obtained, and based on the temperature-flow rate ratio and the current temperature corresponding to the battery cell with abnormal temperature, the optimal liquid flow rate corresponding to the battery cell with abnormal temperature is determined.

[0135] In this embodiment, the temperature node refers to each temperature measurement point of the battery cell.

[0136] In this embodiment, the paired nodes refer to two temperature nodes in the battery cell temperature change graph and the reference temperature change graph at the same time.

[0137] In this embodiment, the node trend vector refers to the vector formed from the upward adjacent temperature node (i.e., the previous temperature node corresponding to the current temperature node) to the current temperature node. The vector indicates the temperature rise and fall direction (including temperature rise and fall) and the temperature rise and fall amount of the current temperature node relative to the previous temperature node.

[0138] In this embodiment, the node error rate is used to characterize the abnormal precipitation between the temperature node of the normal temperature battery cell and the corresponding reference temperature node. When the temperature rise and fall trends of the two are opposite, the node error rate is equal to 1;

[0139] Otherwise, the error evaluation is performed in two directions based on the difference in temperature rise and fall corresponding to the node trend vector.

[0140] In this embodiment, determining the abnormality degree of the battery cell with abnormal temperature based on the node error rate means calculating the average value of the node error probability, and the larger the average value, the greater the abnormality degree.

[0141] In this embodiment, the temperature-flow rate ratio refers to the coolant flow rate corresponding to a unit temperature.

[0142] The beneficial effects of the above technical solution are as follows: the present invention determines the severity of the abnormality of the temperature-abnormal battery cell based on the error between the temperature of the temperature-abnormal battery cell and the reference u, and determines the optimal liquid flow rate based on different optimal liquid flow rate determination methods according to the severity of the abnormality. When the abnormality of the temperature-abnormal battery cell is relatively large, the maximum flow rate is directly used as the optimal liquid flow rate to shorten the temperature-abnormal battery cell as much as possible, so as to avoid the temperature-abnormal battery cell being in a high temperature state for a long time, resulting in reduced charging and discharging efficiency, damage to the battery, shortening the life of the battery cell, and other problems; when the abnormality of the temperature-abnormal battery cell is relatively low, the temperature-flow rate ratio corresponding to the normal temperature battery cell is obtained, and the optimal liquid flow rate corresponding to the temperature-abnormal battery cell is determined based on the temperature-flow rate ratio and the current temperature corresponding to the temperature-abnormal battery cell, and a relatively safe and slow method is used for cooling, so as to ensure that the temperature-abnormal battery cell can be normally reduced to the preset standard temperature while avoiding the problem of a large flow rate adjustment span causing a surge in liquid in the hollow flow channel and a large driving energy consumption.

[0143] Embodiment 7:

[0144] On the basis of Example 6, after the flow rate of the coolant in the surrounding hollow flow channel corresponding to the battery cell with abnormal temperature difference is adjusted to the optimal liquid flow rate, the method includes:

[0145] Synchronously obtain the real-time temperature change of the battery with abnormal temperature after adjusting to the optimal liquid flow rate, and judge whether the current flow rate control strategy is effective based on the real-time temperature change;

[0146] If it is invalid and the current flow rate is the maximum flow rate, a battery cell abnormality warning is generated and sent to the battery energy storage monitoring terminal;

[0147] If it is invalid and the current flow rate is not the maximum flow rate, adjust the current flow rate to the maximum flow rate and continue monitoring;

[0148] If valid, maintain the current flow rate, and after the cell temperature of the abnormally-temperature cell reaches the normal value, execute step 4.

[0149] The beneficial effects of the above technical solution: the present invention tracks and monitors the battery cells with abnormal temperature after the coolant flow rate in the hollow flow channel is adjusted, determines whether the current flow rate control strategy conforms to the actual situation of the battery cells with abnormal temperature, and automatically controls the current flow rate strategy based on the judgment result. When the flow rate control cannot meet the heat dissipation requirements of the battery cells with abnormal temperature, a battery cell abnormality warning is generated and sent to the battery energy storage monitoring end to ensure that management personnel can discover battery abnormality problems in time and take corresponding operation and maintenance measures. After the battery cell temperature of the battery cell with abnormal temperature reaches the normal value, step 4 is executed to adjust the battery cell cooling strategy to the conventional cooling strategy corresponding to the value, so as to avoid unnecessary cooling energy consumption and effectively reduce the energy storage cost.

[0150] Embodiment 8:

[0151] Based on Example 1, a temperature control optimization method for an immersion liquid-cooled energy storage battery box further includes:

[0152] Based on multiple historical temperature change data of each battery cell in the energy storage battery box, the flow rate control strategy for the time period is generated, including:

[0153] Acquire multiple historical temperature change data of each battery cell in the energy storage battery box, divide the multiple historical temperature change data based on the preset solar term classification, obtain the historical temperature change data of multiple time intervals, and generate multiple historical data clusters;

[0154] Preprocess each historical data cluster separately to obtain multiple historical data clusters of equal quantity;

[0155] Obtain the time pattern of the sun rising and setting corresponding to each time interval in the area where the energy storage battery box is located, and based on the time pattern and taking the sun's altitude as a reference, highly align the historical temperature change data of multiple historical temperature data clusters to obtain multiple vertical comparison columns, and determine the impact of solar term changes on temperature based on the vertical comparison columns;

[0156] Align the data in the historical data cluster for a certain period of time to obtain multiple historical temperature sub-data, and compare the multiple historical temperature sub-data corresponding to the same historical temperature data in the historical data cluster to determine the influence of the sun's altitude on the temperature in the same time interval;

[0157] At the same time, the solar term with the smallest impact on temperature is taken as the benchmark solar term;

[0158] Based on the reference solar terms, the influence of solar term changes on temperature corresponding to each solar term and the influence of the sun's altitude on temperature in the time interval corresponding to each solar term are standardized to obtain the solar term temperature influence coefficient and the sun's altitude influence coefficient;

[0159] Obtain the coolant flow rate corresponding to the period when the sun altitude has the least effect on the temperature in the reference solar term as the reference flow rate;

[0160] Based on the reference flow rate, combined with the influence of the sun's altitude on the temperature in the time interval corresponding to the reference solar term, determine the reference flow rate control strategy corresponding to the reference solar term in one day;

[0161] Based on the benchmark flow rate control strategy, combined with the air temperature influence coefficient and the solar altitude influence coefficient, the flow rate control strategy corresponding to the remaining solar terms is determined;

[0162] Get all flow rate control strategies, store them in lists based on solar terms and time periods, and generate time period--flow rate control strategies.

[0163] In this embodiment, the preset solar term classification defaults to 24 solar terms, and adjacent solar terms can also be merged, and finally divided into 12, 8 or 4 solar terms, which can be set according to the local temperature.

[0164] In this embodiment, the time interval refers to the date range corresponding to each solar term classification. The historical data cluster refers to the cluster composed of all historical battery cell temperature data of multiple dates corresponding to each solar term classification. The equal number of historical data clusters refers to the synchronous processing of the data in multiple historical data clusters, and the number of historical data days included in the data finally retained by each historical data cluster is the same as the number of historical days included in the historical data cluster with the smallest amount of data.

[0165] In this embodiment, the historical temperature change data defaults to all battery cell temperature data corresponding to a natural day.

[0166] Beneficial effects of the above technical solution: The present invention generates a time period-flow rate control strategy related to the current date and time of the energy storage battery box based on multiple historical temperature change data of each battery cell in the energy storage battery box, provides a basis for the gradient control of the flow rate of the coolant of each battery cell in the energy storage battery box, realizes adaptive control of the coolant in the hollow flow channel according to the current climate and time, realizes precise control of the immersion liquid cooling of the battery cells in the energy storage battery box, achieves the purpose of keeping the battery cell temperature within a certain range, and improves the energy conversion efficiency of the energy storage battery box.

[0167] Embodiment 9:

[0168] Based on Example 1, step 4, as Figure 5 As shown, including:

[0169] Step 401: obtaining the position of the energy storage battery box, determining the relative position of the energy storage battery box and the sun based on the position, and determining the direct illumination area of ​​the energy storage battery box according to the relative position;

[0170] Step 402: according to the solar term corresponding to the current date and the time period, based on the time period-flow rate control strategy, determine the prediction adjustment strategy corresponding to the battery cell with normal temperature;

[0171] Step 403: determine whether the battery cell with normal temperature is in the direct sunlight area. If so, obtain the solar term corresponding to the current date and the solar intensity corresponding to the time period in the area where the energy storage battery box is located, and predict the difference in ambient temperature between the battery cell with normal temperature and the battery cell in the indirect sunlight area of ​​the energy storage battery box based on the solar intensity.

[0172] Based on the predicted difference in ambient temperature, the predicted cell temperature in the prediction adjustment strategy is corrected, and the time period-flow rate control strategy is queried according to the corrected cell temperature to obtain the best adjustment strategy;

[0173] If not, the predicted adjustment strategy is used as the best adjustment strategy;

[0174] Step 404: adjusting the coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature based on the optimal adjustment strategy.

[0175] In this embodiment, the non-direct area battery cells refer to the battery cells located in the non-direct area of ​​the energy storage battery box.

[0176] In this embodiment, when there is no sunlight on the current date (for example, it is cloudy, rainy, etc.), it is directly determined that all the cells of the energy storage battery box are not in the direct sunlight area.

[0177] The beneficial effects of the above technical solution are as follows: in the process of adaptively adjusting the temperature of the normal-temperature battery cell according to the current date and time, the present invention fully considers that the different relative positions of the sun and the energy storage battery box lead to different direct sunlight areas of different energy storage battery boxes, thereby causing the ambient temperature of the battery cells that are not distributed by position in the energy storage battery box to be different. If the normal-temperature battery cell is in the direct sunlight area, the solar term corresponding to the current date and the solar illumination intensity corresponding to the time period in the area where the energy storage battery box is located are obtained, and based on the solar illumination intensity, the difference in ambient temperature between the normal-temperature battery cell and the non-direct sunlight area battery cell of the energy storage battery box is predicted; based on the difference in ambient temperature prediction, the predicted battery cell temperature in the prediction adjustment strategy is corrected, and the time period-flow rate control strategy is queried according to the corrected battery cell temperature to obtain the best adjustment strategy. The best adjustment strategy finally obtained is more in line with the time situation of the battery cell, which is beneficial to improving the accuracy of the coolant flow rate control in the hollow flow channel corresponding to the battery cell, reducing the probability of uneven temperature of the battery cell in the energy storage battery box, extending the service life of the battery cell in the battery box, and improving the power supply and energy storage efficiency of the battery box.

[0178] Embodiment 10:

[0179] Based on Example 1, a temperature control optimization method for an immersion liquid-cooled energy storage battery box is applicable to an immersion liquid-cooled energy storage battery box, including: a shell, a battery cell, a hollow flow channel and a fire protection system, wherein:

[0180] The shell is welded from aluminum profiles;

[0181] The hollow flow channel is distributed around each battery cell, and the liquid inlet of the hollow flow channel is located at the bottom of the inner side of the shell, which is used to add coolant into the hollow flow channel;

[0182] The fire fighting system is located at the top of the inner side of the shell, and is used to send a fire fighting alarm to the monitoring end when a fire occurs inside the battery box.

[0183] The beneficial effects of the above technical solution: the body of an immersion liquid-cooled energy storage battery box provided by the present invention is welded with aluminum profiles to achieve effective sealing; the bottom of the shell is made into a hollow flow channel, and the liquid enters the bottom of the box through the liquid inlet hole at the bottom of the shell. The liquid inlet hole at the bottom can be finely designed to ensure that the flow rate of coolant for each battery cell in the box can be independently regulated, thereby keeping the temperature difference of the battery cells within a certain range. The battery box design is suitable for cabinet applications, which significantly improves the operability and maintainability, and a fire protection system is arranged on the top of the inner side of the shell, so that when a fire occurs inside the battery box, a fire alarm is sent to the monitoring end to ensure that the battery box management personnel can promptly discover the battery fire and deal with it in time to avoid the expansion of losses.

[0184] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A temperature control optimization method for an immersion liquid-cooled energy storage battery box, characterized in that: include: Step 1: Monitor the temperature of each battery cell in real time, obtain the dynamic temperature data of the battery cell, and generate a battery cell temperature change graph; Step 2: Perform intelligent analysis based on the battery cell temperature change diagram to determine whether the battery cell temperature is abnormal and identify the battery cell with abnormal temperature; Step 3: determining an optimal liquid flow rate based on the temperature change of the battery cell corresponding to the battery cell with abnormal temperature, and adjusting the flow rate of the coolant corresponding to the battery cell with abnormal temperature based on the optimal liquid flow rate; Step 4: According to the time period-flow rate control strategy and the current solar radiation angle, the coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature is adaptively adjusted; Also includes: Based on multiple historical temperature change data of each battery cell in the energy storage battery box, the flow rate control strategy for the time period is generated, including: Acquire multiple historical temperature change data of each battery cell in the energy storage battery box, divide the multiple historical temperature change data based on the preset solar term classification, obtain the historical temperature change data of multiple time intervals, and generate multiple historical data clusters; Preprocess each historical data cluster separately to obtain multiple historical data clusters of equal quantity; Obtain the time pattern of the sun rising and setting corresponding to each time interval in the area where the energy storage battery box is located, and based on the time pattern and taking the sun's altitude as a reference, highly align the historical temperature change data of multiple historical temperature data clusters to obtain multiple vertical comparison columns, and determine the impact of solar term changes on temperature based on the vertical comparison columns; Align the data in the historical data cluster for a certain period of time to obtain multiple historical temperature sub-data, compare the multiple historical temperature sub-data corresponding to the same historical temperature data in the historical data cluster, and determine the influence of the sun's altitude on the temperature in the same time interval; At the same time, the solar term with the smallest impact on temperature is taken as the benchmark solar term; Based on the reference solar terms, the influence of solar term changes on temperature corresponding to each solar term and the influence of the sun's altitude on temperature in the time interval corresponding to each solar term are standardized to obtain the solar term temperature influence coefficient and the sun's altitude influence coefficient; Obtain the coolant flow rate corresponding to the period when the sun altitude has the least effect on the temperature in the reference solar term as the reference flow rate; Based on the reference flow rate, combined with the influence of the sun's altitude on the temperature in the time interval corresponding to the reference solar term, determine the reference flow rate control strategy corresponding to the reference solar term in one day; Based on the benchmark flow rate control strategy, combined with the air temperature influence coefficient and the solar altitude influence coefficient, the flow rate control strategy corresponding to the remaining solar terms is determined; Obtain all flow rate control strategies, store them in lists based on solar terms and time periods, and generate time period--flow rate control strategies; Step 4 includes: Obtaining the location of the energy storage battery box, determining the relative position of the energy storage battery box and the sun based on the location, and determining the direct illumination area of ​​the energy storage battery box according to the relative position; According to the solar term corresponding to the current date and the time period, based on the time period-flow rate control strategy, determine the prediction adjustment strategy corresponding to the battery cell with normal temperature; At the same time, determine whether the battery cell with normal temperature is in the direct sunlight area. If so, obtain the solar term corresponding to the current date and the solar intensity corresponding to the time period in the area where the energy storage battery box is located, and based on the solar intensity, predict the difference in ambient temperature between the battery cell with normal temperature and the battery cell in the indirect sunlight area of ​​the energy storage battery box; Based on the predicted difference in ambient temperature, the predicted cell temperature in the prediction adjustment strategy is corrected, and the time period-flow rate control strategy is queried according to the corrected cell temperature to obtain the best adjustment strategy; If not, the predicted adjustment strategy is used as the best adjustment strategy; The coolant flow rate in the hollow flow channel corresponding to the battery cell with normal temperature is adjusted based on the optimal adjustment strategy.

2. The temperature control optimization method of an immersion liquid-cooled energy storage battery box according to claim 1, characterized in that: Step 1 includes: The temperature of multiple cells in the battery box is collected synchronously to obtain the dynamic temperature data of each cell; The dynamic temperature data is numbered and stored in each directory file based on the cell number; Based on the dynamic temperature data corresponding to each directory file, the battery cell temperature change graph is generated respectively.

3. The temperature control optimization method for an immersion liquid-cooled energy storage battery box according to claim 1, characterized in that: Step 2 includes: Based on the time sequence, multiple battery cell temperature change graphs are aligned, and according to the alignment results, it is determined whether the temperatures of all battery cells in the battery box are consistent; If not, it is determined that the battery cell temperatures in the battery box are uneven, and multiple latest battery cell temperatures are obtained and clustered to determine the concentration interval of the current battery cell temperatures, and to determine whether the preset standard temperature is within the concentration interval; If yes, the cell corresponding to the cell temperature in the non-concentrated area is regarded as the cell with abnormal temperature; If not, it is determined that the temperature of the battery cells in the battery box is abnormal, and a temperature warning signal is generated; If they are consistent, it is determined that the temperature of the battery cells in the battery box is balanced.

4. The temperature control optimization method for an immersion liquid-cooled energy storage battery box according to claim 3 is characterized in that: When the preset standard temperature is within the concentration range, including: When the preset standard temperature is within the concentrated interval, obtaining the interval width corresponding to the concentrated interval, and determining whether the interval width is greater than a preset value; If yes, based on the preset interval width corresponding to the preset value and taking the preset standard temperature as the interval center, the expected concentrated interval is obtained, and the expected concentrated interval is compared with the concentrated interval to obtain the non-expected sub-interval; Calculate the residual between the temperature of each battery cell in the non-expected sub-interval and the preset standard temperature, generate a residual sequence, cluster the data in the residual sequence to obtain multiple residual data clusters, calculate the concentration coefficient of each residual data cluster, and determine the concentrated center cluster of the residual sequence based on the concentration coefficient; Based on the centralized center cluster, an average residual is obtained, and the preset standard temperature is corrected according to the average residual to obtain a new preset standard temperature; If not, then obtain the average battery cell temperature corresponding to the concentrated interval, obtain the temperature error probability between the average battery cell temperature and the preset standard temperature, and when the temperature error probability is greater than a preset threshold, use the average battery cell temperature as a new preset standard temperature; Otherwise, keep the original preset standard temperature unchanged.

5. The temperature control optimization method for an immersion liquid-cooled energy storage battery box according to claim 1, characterized in that: Step 3 includes: Based on the cell temperature change graph corresponding to the cell with abnormal temperature, the abnormal temperature change characteristics of the cell with abnormal temperature are extracted, and the average cell temperature of the cell with normal temperature at each moment is obtained as the reference temperature, a reference temperature change graph is generated based on the reference temperature, and based on the reference temperature change graph, the reference temperature change characteristics are extracted; Comparing the abnormal temperature change characteristics with the reference temperature change characteristics to obtain the abnormal temperature characteristics; Obtaining the coolant flow rate corresponding to the normal temperature battery cell and its corresponding actual temperature, and obtaining the flow rate difference between the coolant flow rate and the current coolant flow rate of the current abnormal temperature battery cell; Determining an optimal liquid flow velocity based on the flow velocity difference and the abnormal temperature characteristics; According to the optimal liquid flow velocity, the flow velocity of the coolant in the surrounding hollow flow channel corresponding to the battery cell with abnormal temperature difference is adjusted; A temperature warning signal is obtained, the temperature warning signal is sent to the battery energy storage monitoring terminal, and the coolant flow rate in the hollow flow channels corresponding to all battery cells is simultaneously adjusted to the maximum flow rate.

6. The temperature control optimization method for an immersion liquid-cooled energy storage battery box according to claim 5, characterized in that: Based on the flow velocity difference and the abnormal temperature characteristics, determining an optimal liquid flow velocity includes: Based on the abnormal temperature characteristics, taking the reference temperature as a benchmark, determine the temperature node correspondence between the abnormal temperature battery cell and the normal temperature battery cell within a preset time, and establish a pairing node; And based on the rising and falling relationship between the paired node and the upward adjacent temperature node, a node trend vector is generated; According to the node trend vector corresponding to each group of paired nodes, the node error rate is obtained; Based on the node error rate, determining the abnormality degree of the temperature abnormal cell, and when the abnormality degree is greater than a preset error value, taking the maximum flow rate as the optimal liquid flow rate; Otherwise, the temperature-flow rate ratio corresponding to the battery cell with normal temperature is obtained, and based on the temperature-flow rate ratio and the current temperature corresponding to the battery cell with abnormal temperature, the optimal liquid flow rate corresponding to the battery cell with abnormal temperature is determined.

7. The temperature control optimization method of an immersion liquid-cooled energy storage battery box according to claim 6, characterized in that: After the flow rate of the coolant in the surrounding hollow flow channel corresponding to the battery cell with abnormal temperature difference is adjusted to the optimal flow rate, it includes: Synchronously obtain the real-time temperature change of the battery with abnormal temperature after adjusting to the optimal liquid flow rate, and judge whether the current flow rate control strategy is effective based on the real-time temperature change; If it is invalid and the current flow rate is the maximum flow rate, a battery cell abnormality warning is generated and sent to the battery energy storage monitoring terminal; If it is invalid and the current flow rate is not the maximum flow rate, adjust the current flow rate to the maximum flow rate and continue monitoring; If valid, maintain the current flow rate, and after the cell temperature of the abnormally-temperature cell reaches the normal value, execute step 4.

8. The temperature control optimization method for an immersion liquid-cooled energy storage battery box according to claim 1 is applicable to an immersion liquid-cooled energy storage battery box, characterized in that: include: Shell, battery cell, hollow flow channel and fire protection system, among which, The shell is welded from aluminum profiles; The hollow flow channel is distributed around each battery cell, and the liquid inlet of the hollow flow channel is located at the bottom of the inner side of the shell, which is used to add coolant into the hollow flow channel; The fire fighting system is located at the top of the inner side of the shell, and is used to send a fire fighting alarm to the monitoring end when a fire occurs inside the battery box.

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