Accurate temperature control method and device for battery electrolyte

Abstract

The invention provides a precise temperature control method and device for a battery electrolyte, and relates to the technical field of optimization control, and the method comprises the steps: dynamically monitoring to obtain a real-time temperature, and judging whether the real-time pile temperature of the battery electrolyte in the real-time temperature accords with a preset pile working temperature constraint or not; if the real-time galvanic pile temperature accords with the preset galvanic pile working temperature constraint, reading a preset future moment; performing predictive analysis on a stack temperature time sequence established based on the real-time stack temperature to obtain a predicted stack temperature at a predetermined future moment; when the predicted galvanic pile temperature does not conform to the preset galvanic pile working temperature constraint, an accurate temperature control mechanism is activated in real time; and the precise temperature control mechanism is used for carrying out precise temperature control treatment on the battery electrolyte. According to the invention, the technical problem in the prior art that the performance stability and the service life of the battery are affected due to low efficiency and lack of real-time dynamic adjustment capability of a traditional cooling mode can be solved, and the technical effects of improving the performance of the battery and prolonging the service life are achieved.

Description

Technical Field

[0001] The present application relates to the field of optimization control technology, and in particular to a method and device for accurately controlling the temperature of a battery electrolyte. Background Art

[0002] With the rapid development of science and technology, especially in the field of new energy and electric vehicles, lithium batteries, as key energy storage devices, have been widely used in electric vehicles, smart phones and other portable electronic devices. However, under long-term use and high-load operation, lithium batteries are prone to overheating, over-discharge and other problems due to the complexity of their internal chemical reactions and changes in the working environment, resulting in reduced battery performance, shortened life, and even safety accidents. Therefore, how to effectively manage the temperature of the battery and ensure that it operates within a stable and ideal temperature range has become one of the key technologies to improve battery performance and safety.

[0003] At present, the existing battery temperature control technology mainly focuses on adjusting the battery temperature through the cooling system, such as air cooling, liquid cooling and other methods. However, these traditional temperature control technologies have certain defects. For example, although the air cooling system has a simple structure, its efficiency is relatively low and cannot meet the heat dissipation requirements of high-power batteries; the liquid cooling system requires a more complex pipeline and radiator design, which is more expensive and prone to efficiency decline in low temperature environments. In addition, the existing battery temperature control scheme is usually based on a fixed temperature range, lacks the ability of real-time monitoring and dynamic adjustment, and cannot cope with the temperature fluctuations of the battery under different working conditions. This results in the battery management system being unable to accurately control the battery temperature, resulting in energy waste and performance degradation.

[0004] In summary, the prior art has technical problems such as the low efficiency of traditional cooling methods and the lack of real-time dynamic adjustment capabilities, which makes it impossible to meet the temperature control requirements of high-power batteries under different working conditions, further affecting the stability of battery performance and service life. Summary of the invention

[0005] The purpose of this application is to provide a precise temperature control method and device for battery electrolyte, so as to solve the technical problem in the prior art that the traditional cooling method has low efficiency and lacks real-time dynamic adjustment capability, resulting in the inability to meet the temperature control requirements of high-power batteries under different working conditions, further affecting the stability of battery performance and service life.

[0006] In view of the above problems, the present application provides a method and device for precise temperature control of battery electrolyte.

[0007] In a first aspect, the present application provides a method for precise temperature control of a battery electrolyte, which is implemented by a precise temperature control device for a battery electrolyte, including: dynamically monitoring to obtain real-time temperature, and determining whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the predetermined stack operating temperature constraint; if the real-time stack temperature meets the predetermined stack operating temperature constraint, reading a predetermined future time; predicting and analyzing the stack temperature time series established based on the real-time stack temperature, and obtaining a predicted stack temperature at the predetermined future time; when the predicted stack temperature does not meet the predetermined stack operating temperature constraint, activating a precise temperature control mechanism in real time; and precisely controlling the temperature of the battery electrolyte by the precise temperature control mechanism.

[0008] In the second aspect, the present application also provides a precise temperature control device for a battery electrolyte, which is used to execute a precise temperature control method for a battery electrolyte as described in the first aspect, including: a judgment module, which is used to dynamically monitor and obtain real-time temperature, and judge whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the predetermined stack operating temperature constraint; a reading module, which is used to read the predetermined future time if the real-time stack temperature meets the predetermined stack operating temperature constraint; a prediction module, which is used to predict and analyze the stack temperature time series established based on the real-time stack temperature, and obtain the predicted stack temperature at the predetermined future time; an activation module, which is used to activate the precise temperature control mechanism in real time when the predicted stack temperature does not meet the predetermined stack operating temperature constraint; a temperature control module, which is used to perform precise temperature control on the battery electrolyte through the precise temperature control mechanism.

[0009] The technical solution provided in the present application has at least the following technical effects or advantages: obtaining the real-time temperature through dynamic monitoring, and judging whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the predetermined stack operating temperature constraint; if the real-time stack temperature meets the predetermined stack operating temperature constraint, reading the predetermined future time; predicting and analyzing the stack temperature time series established based on the real-time stack temperature, and obtaining the predicted stack temperature at the predetermined future time; activating the precise temperature control mechanism in real time when the predicted stack temperature does not meet the predetermined stack operating temperature constraint; and precisely controlling the temperature of the battery electrolyte through the precise temperature control mechanism. That is to say, by achieving the technical goal of precisely controlling the battery temperature, the technical effect of improving battery performance and extending service life is achieved.

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0012] Figure 1 A schematic diagram of a process for accurately controlling the temperature of a battery electrolyte according to the present application; Figure 2 This is a schematic structural diagram of a precise temperature control device for battery electrolyte in the present application.

[0013] Explanation of the reference numerals: judgment module 11 , reading module 12 , prediction module 13 , activation module 14 , temperature control module 15 . DETAILED DESCRIPTION

[0014] This application provides a precise temperature control method and device for battery electrolyte, which solves the technical problem in the prior art that the traditional cooling method is inefficient and lacks real-time dynamic adjustment capabilities, which leads to the inability to meet the temperature control requirements of high-power batteries under different working conditions, further affecting the stability of battery performance and service life. The technical goal of precisely controlling battery temperature is achieved, and the technical effect of improving battery performance and extending service life is achieved.

[0015] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0016] For example, please refer to the attached Figure 1The present application provides a precise temperature control method for battery electrolyte, which is applied to a precise temperature control device for battery electrolyte, and specifically includes the following steps: Step 1: dynamically monitor and obtain the real-time temperature, and determine whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the preset stack operating temperature constraint.

[0017] Specifically, dynamic monitoring refers to observing the changes of a certain device during operation by collecting data in real time. For example, in a battery management system, dynamic monitoring can obtain the temperature information of the battery electrolyte in real time. This information is transmitted to the monitoring system through sensors or temperature probes, and corresponding judgments are made based on these data. Real-time temperature refers to the instantaneous temperature of the current battery electrolyte monitored, which can change over time. For example, during the battery charging and discharging process, the internal temperature of the battery may increase or decrease with the change of current. The real-time stack temperature of the battery electrolyte refers to the temperature of the electrolyte in the battery stack, which is used to evaluate the operating status of the battery. The real-time stack temperature affects the safety and efficiency of the battery, because too high or too low temperature may cause the battery performance to deteriorate or be damaged. By setting a safe operating temperature range as a predetermined stack operating temperature constraint. By monitoring the real-time temperature and comparing it with the predetermined stack operating temperature constraint, it is possible to promptly detect whether the battery is in normal working condition. If the temperature of the battery electrolyte is too high or too low, appropriate measures can be taken, such as adjusting the cooling system or reminding the operator to check, to ensure the safe operation of the battery.

[0018] Step 2: If the real-time stack temperature meets the predetermined stack operating temperature constraint, read the predetermined future time.

[0019] Specifically, the predetermined battery stack operating temperature constraint refers to a temperature range set to ensure the safety and efficient operation of the battery. When the currently measured battery stack temperature meets the set safe operating temperature range, the predetermined future time is read. The predetermined future time refers to the temperature state that is expected to be achieved or the time for the next operation to be performed after a period of time calculated based on the current temperature control and time difference parameters. By setting this future time in advance, precise temperature control can be adjusted to ensure that the battery is always kept within the appropriate temperature range, thereby avoiding problems with battery overheating or overcooling and ensuring battery stability and service life.

[0020] Step three: performing a predictive analysis on the stack temperature time series established based on the real-time stack temperature to obtain the predicted stack temperature at the predetermined future moment.

[0021] Specifically, real-time data is collected through sensors to reflect the thermal state of the battery pack during operation. The temperature data is arranged in chronological order to establish a battery stack temperature time series to reflect the temperature change pattern of the battery stack over time. By predicting and analyzing this battery stack temperature time series, the temperature change trend of the battery stack at a future moment is predicted. Based on the existing real-time temperature data, the temperature of the battery stack at a certain moment in the future is calculated to obtain the predicted battery stack temperature at a predetermined future moment.

[0022] Step 4: When the predicted stack temperature does not meet the predetermined stack operating temperature constraint, the precise temperature control mechanism is activated in real time.

[0023] Specifically, when the predicted battery stack temperature does not meet the predetermined battery stack operating temperature constraint, it means that the temperature of the battery stack may deviate from the temperature range required by the design, thereby affecting the working efficiency and safety of the battery, and the precise temperature control mechanism is activated in real time. The precise temperature control mechanism is an automated temperature control system that adjusts the temperature of the battery stack to ensure that it remains within a predetermined range. The temperature control mechanism can lower the battery temperature through a cooling system (such as liquid cooling or air cooling), or increase the temperature through equipment such as a heater, and then control the temperature to ensure that the battery stack operates within an ideal temperature range, thereby improving the safety and performance of the battery.

[0024] Step 5: Precisely control the temperature of the battery electrolyte through the precise temperature control mechanism.

[0025] Specifically, the battery electrolyte is precisely temperature-controlled by a precise temperature control mechanism to ensure that it operates in the best working condition. The precise temperature control mechanism maintains the stability of the battery electrolyte by precisely controlling different parameters, such as temperature, pressure, and flow rate. For example, if the temperature of the battery is greater than its designed operating temperature, the precise temperature control mechanism may reduce its temperature by increasing the cooling airflow or reducing the flow rate of the electrolyte until the preset temperature value is reached. The temperature control mechanism can ensure that the battery operates within a safe and efficient temperature range, thereby increasing the battery life, reducing energy waste, and preventing failures or damage caused by overheating.

[0026] The precise temperature control method of a battery electrolyte is applied to a precise temperature control device for a battery electrolyte, which can achieve the technical goal of precisely controlling the battery temperature and achieve the technical effects of improving battery performance and extending battery service life.

[0027] Furthermore, the present application also includes: obtaining the tube length parameters of the vortex tube, wherein the vortex tube refers to a connecting tube connecting the precise temperature control mechanism and the battery electrolyte; obtaining a predetermined flow rate of compressed air, and obtaining a temperature control time difference in combination with the tube length parameters; determining the predetermined future time based on the temperature control time difference and the real-time time of obtaining the real-time battery stack temperature.

[0028] Specifically, the length information of the vortex tube is obtained by measuring or calculating, and the tube length parameter of the vortex tube is obtained. The vortex tube here refers to a pipe used to transfer gas or liquid, which is used to regulate the temperature flowing through the pipe. The vortex tube connects the precise temperature control mechanism with the battery electrolyte to ensure the stability of the internal temperature of the battery. The tube length parameter refers to the physical length of the vortex tube, which plays an important role in the temperature control effect and the response speed of the system. For example, a longer tube length may lead to a longer gas flow time, thereby affecting the efficiency of temperature regulation.

[0029] Next, the predetermined flow rate of the compressed air is obtained. The compressed air is set to flow through the vortex tube at a certain speed to help control the temperature. The predetermined flow rate refers to the set flow rate value, which is optimized according to actual needs to ensure that the compressed air can effectively carry away excess heat or keep the temperature stable. By controlling the flow rate of compressed air, the temperature of the battery electrolyte can be adjusted more accurately. A flow rate that is too low may result in untimely temperature adjustment, while a flow rate that is too high may waste energy or cause excessive temperature fluctuations in the system.

[0030] Then, based on the length of the vortex tube and the flow rate of the compressed air, the time difference required for temperature adjustment is calculated. The temperature control time difference reflects the response speed of the temperature control system. The longer the tube length, the longer the air flows, and it may take longer to complete the predetermined temperature adjustment. Therefore, by combining the tube length and flow rate, it is possible to predict the time required for temperature change and make adjustments in advance to avoid the temperature being too high or too low.

[0031] Finally, based on the temperature control time difference and the real-time moment of the obtained real-time battery stack temperature, the scheduled future moment is determined, and the temperature state at a certain moment in the future is calculated by real-time monitoring of the battery stack temperature and combining the temperature control time difference. The real-time moment refers to the current time point of the system. By combining this time point with the temperature control time difference, it is possible to predict when the temperature regulation effect can reach the expected goal. For example, if a certain temperature is preset to be reached in five minutes, the flow rate of the compressed air and other control parameters are adjusted according to the temperature control time difference to ensure that the battery electrolyte temperature reaches the predetermined range in the future.

[0032] Furthermore, the present application also includes: establishing the stack temperature time series based on the mapping relationship between the real-time stack temperature and the real-time moment; drawing a stack temperature scatter plot based on the stack temperature time series, and obtaining a stack temperature trend line of the stack temperature scatter plot; obtaining the stack temperature at the predetermined future moment based on the stack temperature trend line, and recording it as the predicted stack temperature.

[0033] Specifically, the stack temperature time series is established based on the mapping relationship between the real-time stack temperature and the real-time moment. The real-time stack temperature refers to the temperature of the battery stack at any time, while the real-time moment refers to the current time point. Each temperature value corresponds to a specific time. Each temperature data point is matched one by one with the corresponding time point, and a sequence of temperature changes is gradually formed, which is the stack temperature time series.

[0034] By plotting each temperature value in the stack temperature time series and its corresponding time point on the coordinate axis, a stack temperature scatter plot is obtained. In the scatter plot, the horizontal axis represents time, the vertical axis represents temperature, and each point represents the temperature at a specific time point. The scatter plot can be used to intuitively obtain the fluctuation of battery temperature at different times. Furthermore, the stack temperature trend line is calculated and drawn based on the scatter points to reflect the overall direction of temperature change, such as rising, falling or remaining stable.

[0035] The stack temperature at a specific time in the future is predicted based on the stack temperature trend line. For example, if the trend line indicates that the temperature rises at a certain rate every minute, it can be inferred from this trend that if the scheduled future time is five minutes later, the stack temperature will be higher than the current temperature. The temperature value inferred from the trend line is recorded as a predicted value to estimate the change in the stack temperature in the future. The predicted stack temperature is not the real-time temperature, but an estimated value calculated based on the trend line and historical temperature data, which provides a reference for subsequent temperature control and battery management.

[0036] Furthermore, the present application also includes: performing spline fitting on the stack temperature scatter diagram based on the spline curve principle to obtain a stack temperature fitting curve; obtaining a stack temperature fitting polynomial of the stack temperature fitting curve; inputting the predetermined future time into the stack temperature fitting polynomial to obtain a second predicted stack temperature; and verifying and adjusting the predicted stack temperature with the second predicted stack temperature.

[0037] Specifically, the spline curve is a smooth curve fitting method that constructs a smooth and continuous curve by connecting data points. In the stack temperature scatter plot, each scatter point represents a time point and a corresponding temperature value. The scatter points are constructed into a smooth curve through spline fitting to more accurately represent the trend of stack temperature changes over time. The stack temperature fitting curve obtained by fitting can reflect the fluctuations of the actual data and eliminate the noise in the data, making the temperature change trend clearer and more stable.

[0038] Get the stack temperature fitting polynomial of the stack temperature fitting curve. The stack temperature fitting polynomial can describe the relationship between the stack temperature and time. The stack temperature fitting polynomial is a set of coefficients that represents the law of temperature change over time. For example, if the fitted polynomial is a quadratic polynomial, it may be that the temperature is equal to a constant plus the linear change of time plus the square of time.

[0039] The expected future time is input into the stack temperature fitting polynomial to obtain the second predicted stack temperature at that time. The second predicted stack temperature is a predicted value calculated based on the trend of historical temperature data. The prediction can predict the temperature change of the battery in the future period of time, helping to determine whether further temperature control measures are needed.

[0040] There may be errors in the predicted stack temperature. Therefore, the second predicted stack temperature obtained based on the stack temperature fitting curve is compared with the actual predicted temperature to determine whether they are consistent. If there is a deviation, the prediction result needs to be adjusted, such as recalculating the polynomial coefficients or correcting future predictions based on the actual temperature conditions. Verification can improve the accuracy of the prediction and ensure the reliability of the battery temperature control system.

[0041] Furthermore, the present application also includes: extracting the real-time ambient temperature from the real-time temperature; establishing the ambient temperature time series according to the mapping relationship between the real-time ambient temperature and the real-time moment; analyzing the ambient temperature time series to obtain the predicted ambient temperature; using the predicted battery stack temperature and the predicted ambient temperature as precise temperature control constraints to optimize the optimal temperature control strategy; the precise temperature control mechanism performs precise temperature control on the battery electrolyte based on the optimal temperature control strategy.

[0042] Specifically, the real-time ambient temperature is extracted from the real-time temperature to identify the temperature information related to the environment. The ambient temperature refers to the temperature change in the working environment of the battery, such as the temperature of the surrounding air, which may affect the working state and efficiency of the battery.

[0043] Next, each ambient temperature collected in real time is associated with its corresponding specific time (ie, real time moment), thereby forming a time series of temperature changes, and then the changing trend of the ambient temperature at different time points can be obtained.

[0044] The ambient temperature time series is analyzed to obtain the predicted ambient temperature, that is, the ambient temperature at a certain moment in the future is estimated by analyzing the known ambient temperature time series through time series analysis or a prediction model (such as regression analysis or machine learning method).

[0045] Furthermore, the predicted stack temperature and the predicted ambient temperature represent the expected values ​​of the battery stack temperature and the external ambient temperature, respectively. The predicted stack temperature and the predicted ambient temperature are used as precise temperature control constraints to find the optimal temperature control strategy. Precise temperature control constraints refer to the temperature control measures that need to be taken based on these temperature data in order to maintain the best working state of the battery. The most suitable temperature control strategy is found through the optimization algorithm, such as adjusting the flow or temperature of the cooling system to ensure that the temperature of the battery electrolyte remains within the ideal range.

[0046] Finally, the precise temperature control mechanism performs precise temperature control on the battery electrolyte based on the optimal temperature control strategy. The precise temperature control mechanism is an automated control system that performs temperature control on the electrolyte inside the battery based on the optimal temperature control strategy, ensuring that the battery temperature is always within a safe and efficient range. For example, if the battery temperature is too high, the temperature control mechanism will reduce the battery temperature by accelerating the coolant circulation or activating other cooling devices, thereby avoiding damage caused by overheating of the battery.

[0047] Furthermore, the present application also includes: establishing a temperature control index set for the precise temperature control mechanism, the temperature control index set refers to a collection of control indicators for the precise temperature control mechanism to control compressed air to enter the battery electrolyte; extracting the first temperature control index from the temperature control index set, the first temperature control index having an identifier of a first temperature control parameter threshold; under the precise temperature control constraint, establishing a temperature control optimization space based on the first temperature control parameter threshold, and using a temperature control fitness evaluation function as a temperature control optimization evaluation strategy to obtain the optimal temperature control strategy.

[0048] Specifically, the temperature control index set for forming a precise temperature control mechanism refers to a set of parameters used to accurately adjust the temperature. The temperature control index set is a key indicator used by the precise temperature control mechanism to adjust and control the compressed air entering the battery electrolyte. By controlling these indicators, the precise temperature control mechanism can ensure that the temperature of the battery electrolyte is maintained within a predetermined range to prevent excessively high or low temperatures from affecting the performance or safety of the battery. For example, controlling the temperature, flow rate, pressure and other parameters of the compressed air can directly affect the temperature change of the electrolyte.

[0049] Next, a temperature control parameter is randomly selected from the temperature control indicator set as the first temperature control indicator. The first temperature control indicator has an identifier of a first temperature control parameter threshold. Exceeding the first temperature control parameter threshold may cause temperature control failure or battery performance degradation. The first temperature control parameter threshold is obtained by a technician in this field according to actual conditions.

[0050] Under the precise temperature control constraint, the temperature of the battery electrolyte is controlled to keep it within the predetermined working range, thereby improving the efficiency and life of the system. The precise temperature control constraint includes restrictions on temperature fluctuations, as well as requirements on energy consumption and other related factors. The first temperature control parameter threshold is set based on the precise temperature control constraint. The first temperature control parameter threshold defines the upper and lower limits of parameters such as temperature, energy consumption, and efficiency under different working conditions. According to the method for obtaining the first temperature control parameter threshold, multiple groups of temperature control parameter thresholds are obtained, and a temperature control optimization space is constructed, including all possible temperature control strategies, and then by changing the values ​​of different parameters, the optimal solution that can meet the precise temperature control constraint is found.

[0051] Next, the temperature control fitness evaluation function is used as the temperature control optimization evaluation strategy to quantitatively evaluate the effect of each temperature control strategy. The temperature control fitness evaluation function combines multiple evaluation indicators, such as energy consumption, efficiency, noise, etc., and calculates the fitness of each strategy to determine which strategy performs best under given constraints. Finally, through the fitness evaluation of the temperature control strategy, an optimal temperature control strategy can be obtained, which can optimize the battery's operating performance while ensuring that the precise temperature control constraints are met.

[0052] Furthermore, the present application also includes: the temperature control index set includes pressure, flow rate, temperature and humidity for controlling the compressed air.

[0053] Specifically, the temperature control index set refers to a set of multiple parameters used to adjust and control temperature, including pressure, flow rate, temperature and humidity. Among them, pressure refers to the force exerted by compressed air in the pipeline, which directly affects the efficiency of air flow and the density of the gas. For example, in a compressed air system, a higher pressure may cause the air flow to accelerate, which helps to improve the cooling effect; while a lower pressure may slow down the air flow and reduce the cooling capacity. Flow rate refers to the speed at which compressed air flows in a pipeline or system. The regulation of flow rate plays a key role in temperature control, because too fast a flow rate may cause uneven cooling, while too slow a flow rate may prevent the temperature of the air from being effectively transferred to the object being cooled. For example, properly adjusting the flow rate can ensure that the air can effectively take away heat when it flows over the surface of the battery, so that the battery is maintained within a safe operating temperature range. Temperature refers to the temperature of the compressed air itself, which is related to the flow rate and pressure of the compressed air. When the temperature of the compressed air is too high, the temperature rise of the battery is aggravated, thereby affecting the performance and safety of the battery; while too low a temperature may result in poor cooling effect. Therefore, controlling the temperature of the compressed air is an important factor in maintaining the stability of the battery operating temperature. Humidity refers to the content of water vapor in the air. Excessive humidity may cause condensation of moisture in the air, which can have adverse effects on battery safety and system stability, especially in electronic devices. Therefore, controlling humidity levels can prevent moisture from damaging the device, thereby improving system reliability.

[0054] Furthermore, the present application also includes: the expression of the temperature control adaptability evaluation function is as follows: ;in, It is the temperature adaptation of the accusation. is the temperature stability coefficient, It refers to The temperature control evaluation index parameters of the temperature control evaluation index, refers to the The weight coefficient of the temperature control evaluation index, and =1, is the number of temperature evaluation indicators, and , wherein the temperature control evaluation index includes at least energy consumption, efficiency and noise.

[0055] Specifically, the temperature control fitness evaluation function is used to measure the quality of the temperature control strategy. It uses a series of parameters to evaluate the performance of the temperature control strategy in actual operation and help determine the optimal temperature control strategy. It indicates the overall effect of the temperature control strategy. The higher the fitness, the better the temperature control effect, and vice versa.

[0056] Temperature control stability coefficient It is a parameter that measures whether the temperature control process is stable. Temperature stability is crucial to the battery system. Excessive temperature fluctuations will affect the life and efficiency of the battery. Therefore, the larger the value of the temperature control stability coefficient, the better the temperature control strategy performs in maintaining temperature stability.

[0057] No. Temperature control evaluation index parameters It refers to the parameters set for each specific evaluation indicator when evaluating the temperature control strategy, which is used to measure the performance of the temperature control strategy in multiple dimensions, such as energy efficiency, efficiency and noise. Each evaluation indicator has a corresponding parameter to reflect the degree of influence of the indicator on the temperature control effect.

[0058] No. The weight coefficient of each temperature control evaluation index Refers to the relative importance of each temperature control evaluation indicator in the entire evaluation. During the evaluation process, a weight coefficient is set for each evaluation indicator. The larger the value of the weight coefficient, the greater the impact of the evaluation indicator on the temperature control adaptability, and vice versa.

[0059] =1 means that the sum of the weight coefficients is 1, ensuring that the sum of the weights of all indicators does not exceed 100%, and avoiding too much influence of a certain indicator on the entire evaluation result.

[0060] Number of temperature control evaluation indicators It refers to the number of evaluation criteria considered when evaluating the temperature control strategy. Since the performance of the temperature control strategy involves multiple aspects, it is necessary to use multiple evaluation indicators to comprehensively judge its effect. The number of temperature control evaluation indicators can vary according to needs, but at least include energy consumption, efficiency and noise. Among them, energy consumption refers to the amount of energy consumed in the temperature control process, efficiency refers to the ratio of energy and time invested in the temperature control strategy to achieve the desired goal, and noise takes into account the noise pollution that may be caused by the temperature control process.

[0061] Furthermore, the present application also includes: extracting a first temperature control strategy in the temperature control optimization space, and simulating the first temperature control strategy to obtain a first temperature control simulation record; performing optimization evaluation on the first temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a first temperature control fitness; extracting a second temperature control strategy in the temperature control optimization space, and simulating the second temperature control strategy to obtain a second temperature control simulation record; performing optimization evaluation on the second temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a second temperature control fitness; determining the optimal temperature control strategy based on a comparison result obtained by comparing the first temperature control fitness with the second temperature control fitness.

[0062] Specifically, the first temperature control strategy is randomly extracted from the temperature control optimization space. The temperature control optimization space refers to the set of all possible temperature control strategies. By selecting different strategies in this space, the most suitable solution can be found. According to the first temperature control strategy, a simulation test is performed by simulating the actual operating environment to evaluate the performance of the temperature control strategy, thereby obtaining the first temperature control simulation record, including the changes of various parameters in the temperature control process, such as the rate of temperature change, the accuracy of adjustment, etc.

[0063] Next, the first temperature control simulation record is optimized and evaluated based on the temperature control fitness evaluation function in the temperature control optimization evaluation strategy, and the simulation record is analyzed, including factors such as temperature control stability, energy efficiency, and response speed. The first temperature control fitness can be obtained through evaluation, which is used to measure whether the strategy can meet the expected control requirements. The higher the first temperature control fitness, the better the strategy may perform in actual operation, and vice versa.

[0064] The second temperature control strategy in the temperature control optimization space is randomly extracted, and another temperature control scheme is selected for simulation to obtain the second temperature control simulation record. The second temperature control simulation record is obtained by evaluating the performance of the second temperature control strategy under the same conditions.

[0065] Then, based on the temperature control fitness evaluation function in the temperature control optimization evaluation strategy, the second temperature control simulation record is optimized and evaluated, and the simulation record is analyzed, including factors such as temperature control stability, energy efficiency, and response speed. The second temperature control fitness can be obtained through evaluation, which is used to measure whether the strategy can meet the expected control requirements. The higher the second temperature control fitness, the better the strategy may perform in actual operation, and vice versa.

[0066] Finally, by comparing the first temperature control adaptability with the second temperature control adaptability, the comparison results are obtained to determine which strategy has a higher adaptability, thereby selecting the optimal temperature control strategy. The optimal temperature control strategy refers to the solution that can better meet the battery temperature control requirements among all test strategies and can effectively keep the battery electrolyte within a safe and efficient temperature range.

[0067] In summary, the precise temperature control method of battery electrolyte provided in the present application has the following technical effects: obtaining the real-time temperature through dynamic monitoring, and judging whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the predetermined stack operating temperature constraint; if the real-time stack temperature meets the predetermined stack operating temperature constraint, reading the predetermined future time; predicting and analyzing the stack temperature time series established based on the real-time stack temperature, and obtaining the predicted stack temperature at the predetermined future time; activating the precise temperature control mechanism in real time when the predicted stack temperature does not meet the predetermined stack operating temperature constraint; and precisely controlling the temperature of the battery electrolyte through the precise temperature control mechanism. That is to say, by achieving the technical goal of precisely controlling the battery temperature, the technical effect of improving battery performance and extending service life is achieved.

[0068] Embodiment 2: Based on the same invention concept as the precise temperature control method of a battery electrolyte in the previous embodiment, this application also provides a precise temperature control device for a battery electrolyte. Please refer to the attached Figure 2 , including: a judgment module 11, the judgment module 11 is used to dynamically monitor and obtain the real-time temperature, and judge whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the predetermined stack operating temperature constraint; a reading module 12, the reading module 12 is used to read the predetermined future time if the real-time stack temperature meets the predetermined stack operating temperature constraint; a prediction module 13, the prediction module 13 is used to predict and analyze the stack temperature time series established based on the real-time stack temperature, and obtain the predicted stack temperature at the predetermined future time; an activation module 14, the activation module 14 is used to activate the precise temperature control mechanism in real time when the predicted stack temperature does not meet the predetermined stack operating temperature constraint; a temperature control module 15, the temperature control module 15 is used to perform precise temperature control on the battery electrolyte through the precise temperature control mechanism.

[0069] Furthermore, the precise temperature control device for battery electrolyte is also used to: obtain the tube length parameter of the vortex tube, wherein the vortex tube refers to a connecting tube connecting the precise temperature control mechanism and the battery electrolyte; obtain the predetermined flow rate of compressed air, and obtain the temperature control time difference in combination with the tube length parameter; determine the predetermined future time based on the temperature control time difference and the real-time time of obtaining the real-time battery stack temperature.

[0070] Furthermore, the precise temperature control device for battery electrolyte is also used to: establish the battery stack temperature time series based on the mapping relationship between the real-time battery stack temperature and the real-time moment; draw a battery stack temperature scatter plot based on the battery stack temperature time series, and obtain the battery stack temperature trend line of the battery stack temperature scatter plot; obtain the battery stack temperature at the predetermined future moment based on the battery stack temperature trend line, and record it as the predicted battery stack temperature.

[0071] Furthermore, the precise temperature control device for battery electrolyte is also used for: performing spline fitting on the stack temperature scatter diagram based on the spline curve principle to obtain a stack temperature fitting curve; obtaining a stack temperature fitting polynomial of the stack temperature fitting curve; inputting the predetermined future time into the stack temperature fitting polynomial to obtain a second predicted stack temperature; and verifying and adjusting the predicted stack temperature with the second predicted stack temperature.

[0072] Furthermore, the precise temperature control device for a battery electrolyte is also used to: extract the real-time ambient temperature from the real-time temperature; establish the ambient temperature time series according to the mapping relationship between the real-time ambient temperature and the real-time moment; analyze the ambient temperature time series to obtain the predicted ambient temperature; use the predicted battery stack temperature and the predicted ambient temperature as precise temperature control constraints to optimize the optimal temperature control strategy; the precise temperature control mechanism performs precise temperature control on the battery electrolyte based on the optimal temperature control strategy.

[0073] Furthermore, the precise temperature control device for battery electrolyte is also used to: establish a temperature control index set for the precise temperature control mechanism, wherein the temperature control index set refers to a collection of control indexes for the precise temperature control mechanism to control compressed air to enter the battery electrolyte; extract a first temperature control index from the temperature control index set, wherein the first temperature control index has an identifier of a first temperature control parameter threshold; under the precise temperature control constraint, establish a temperature control optimization space based on the first temperature control parameter threshold, and use a temperature control fitness evaluation function as a temperature control optimization evaluation strategy to obtain the optimal temperature control strategy.

[0074] Furthermore, the precise temperature control device for battery electrolyte is also used for: the temperature control index set includes the pressure, flow rate, temperature and humidity of the compressed air.

[0075] Furthermore, the precise temperature control device for battery electrolyte is also used for: the expression of the temperature control adaptability evaluation function is as follows: ;in, It is the temperature adaptation of the accusation. is the temperature stability coefficient, It refers to The temperature control evaluation index parameters of the temperature control evaluation index, refers to the The weight coefficient of the temperature control evaluation index, and =1, is the number of temperature evaluation indicators, and , wherein the temperature control evaluation index includes at least energy consumption, efficiency and noise.

[0076] Furthermore, the precise temperature control device for battery electrolyte is also used to: extract a first temperature control strategy in the temperature control optimization space, and simulate the first temperature control strategy to obtain a first temperature control simulation record; perform optimization evaluation on the first temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a first temperature control fitness; extract a second temperature control strategy in the temperature control optimization space, and simulate the second temperature control strategy to obtain a second temperature control simulation record; perform optimization evaluation on the second temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a second temperature control fitness; determine the optimal temperature control strategy based on a comparison result obtained by comparing the first temperature control fitness with the second temperature control fitness.

[0077] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The precise temperature control method for a battery electrolyte and the specific examples in the aforementioned embodiment 1 are also applicable to a precise temperature control device for a battery electrolyte in this embodiment. Through the aforementioned detailed description of the precise temperature control method for a battery electrolyte, those skilled in the art can clearly understand the precise temperature control device for a battery electrolyte in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0078] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application belong to the scope of the present application and its equivalent technology, the present application is also intended to include these modifications and variations.

Claims

1. A precise temperature control method for battery electrolyte, characterized in that: include: Dynamically monitor and obtain the real-time temperature, and determine whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the preset stack operating temperature constraint; If the real-time stack temperature meets the predetermined stack operating temperature constraint, reading the predetermined future time; Performing a forecast analysis on a stack temperature time series established based on the real-time stack temperature to obtain a forecast stack temperature at the predetermined future time; When the predicted stack temperature does not meet the predetermined stack operating temperature constraint, activating the precise temperature control mechanism in real time; The battery electrolyte is subjected to precise temperature control by the precise temperature control mechanism.

2. The precise temperature control method for battery electrolyte according to claim 1, characterized in that: If the real-time stack temperature meets the predetermined stack operating temperature constraint, reading the predetermined future time includes: Obtaining a tube length parameter of a vortex tube, wherein the vortex tube refers to a connecting tube connecting the precise temperature control mechanism and the battery electrolyte; Obtaining a predetermined flow rate of compressed air, and obtaining a temperature control time difference in combination with the pipe length parameter; The predetermined future time is determined based on the temperature control time difference and the real time time of acquiring the real-time stack temperature.

3. The precise temperature control method of battery electrolyte according to claim 2, characterized in that: Predicting and analyzing the stack temperature time series established based on the real-time stack temperature to obtain the predicted stack temperature at the predetermined future time, including: Establishing the stack temperature time sequence according to the mapping relationship between the real-time stack temperature and the real-time moment; Draw a stack temperature scatter plot based on the stack temperature time series, and obtain a stack temperature trend line of the stack temperature scatter plot; The stack temperature at the predetermined future time is obtained according to the stack temperature trend line and recorded as the predicted stack temperature.

4. The precise temperature control method of battery electrolyte according to claim 3, characterized in that: After obtaining the stack temperature at the predetermined future time according to the stack temperature trend line and recording it as the predicted stack temperature, the method further includes: Performing spline fitting on the stack temperature scatter diagram based on the spline curve principle to obtain a stack temperature fitting curve; Obtaining a stack temperature fitting polynomial of the stack temperature fitting curve; Inputting the predetermined future time into the stack temperature fitting polynomial to obtain a second predicted stack temperature; The predicted stack temperature is verified and adjusted using the second predicted stack temperature.

5. The precise temperature control method of battery electrolyte according to claim 2, characterized in that: The battery electrolyte is subjected to precise temperature control by the precise temperature control mechanism, including: Extracting the real-time ambient temperature from the real-time temperature; Establishing the ambient temperature time series according to the mapping relationship between the real-time ambient temperature and the real-time moment; Analyzing the ambient temperature time series to obtain a predicted ambient temperature; Taking the predicted stack temperature and the predicted ambient temperature as precise temperature control constraints, an optimal temperature control strategy is obtained by searching for the best solution; The precise temperature control mechanism performs precise temperature control on the battery electrolyte based on the optimal temperature control strategy.

6. A precise temperature control method for battery electrolyte according to claim 5, characterized in that: The predicted stack temperature and the predicted ambient temperature are used as precise temperature control constraints to find the optimal temperature control strategy, including: Establishing a temperature control index set of the precise temperature control mechanism, wherein the temperature control index set refers to a set of control indexes for the precise temperature control mechanism to control compressed air to enter the battery electrolyte; Extracting a first temperature control indicator from the temperature control indicator set, wherein the first temperature control indicator has an identifier of a first temperature control parameter threshold; Under the precise temperature control constraint, a temperature control optimization space is established based on the first temperature control parameter threshold, and a temperature control fitness evaluation function is used as a temperature control optimization evaluation strategy to obtain the optimal temperature control strategy.

7. A precise temperature control method for battery electrolyte according to claim 6, characterized in that: The temperature control index set includes pressure, flow rate, temperature and humidity for controlling the compressed air.

8. A precise temperature control method for battery electrolyte according to claim 7, characterized in that: The expression of the temperature control fitness evaluation function is as follows: ； in, It is the temperature adaptation of the accusation. is the reference temperature stability coefficient, It refers to The temperature control evaluation index parameters of the temperature control evaluation index, refers to the The weight coefficient of the temperature control evaluation index, and =1, is the number of temperature evaluation indicators, and , wherein the temperature control evaluation index includes at least energy consumption, efficiency and noise.

9. A precise temperature control method for battery electrolyte according to claim 6, characterized in that: Under the precise temperature control constraint, a temperature control optimization space is established based on the first temperature control parameter threshold, and a temperature control fitness evaluation function is used as a temperature control optimization evaluation strategy to obtain the optimal temperature control strategy, including: Extracting a first temperature control strategy in the temperature control optimization space, and simulating the first temperature control strategy to obtain a first temperature control simulation record; Performing optimization evaluation on the first temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a first temperature control adaptability; Extracting a second temperature control strategy in the temperature control optimization space, and simulating the second temperature control strategy to obtain a second temperature control simulation record; Performing optimization evaluation on the second temperature control simulation record according to the temperature control optimization evaluation strategy to obtain a second temperature control adaptability; The optimal temperature control strategy is determined according to a comparison result obtained by comparing the first temperature control adaptability with the second temperature control adaptability.

10. A precise temperature control device for battery electrolyte, characterized in that: The steps for implementing the precise temperature control method of a battery electrolyte as claimed in any one of claims 1 to 9 include: A judgment module, the judgment module is used to dynamically monitor and obtain the real-time temperature, and judge whether the real-time stack temperature of the battery electrolyte in the real-time temperature meets the preset stack operating temperature constraint; A reading module, the reading module is used to read a predetermined future time if the real-time stack temperature meets the predetermined stack operating temperature constraint; A prediction module, the prediction module is used to predict and analyze the stack temperature time series established based on the real-time stack temperature to obtain the predicted stack temperature at the predetermined future moment; An activation module, the activation module is used to activate the precise temperature control mechanism in real time when the predicted stack temperature does not meet the predetermined stack operating temperature constraint; A temperature control module is used to perform precise temperature control on the battery electrolyte through the precise temperature control mechanism.

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