Lithium battery lithium iron phosphate recovery control method and system

Abstract

The present application relates to the technical field of battery recycling, and in particular to a lithium battery lithium iron phosphate recovery control method and system. The method comprises the following steps: driving a high-precision peristaltic pump to inject a trace amount of probe reagent into the leaching solution within a certain period; obtaining the pH value change data of the leaching solution after injecting the trace amount of probe reagent and the recovery control parameters of the lithium iron phosphate recovery control system; evaluating the acid-base buffer capacity of the leaching solution using the pH value change data to determine the acid-base buffer parameters of the leaching solution; adjusting the recovery control parameters based on the acid-base buffer parameters of the leaching solution to obtain adjusted recovery control parameters; and adjusting the parameters of the recovery control system using the adjusted recovery control parameters to adjust the recovery control of the lithium iron phosphate recovery control system. The present application aims to solve the problem that the existing control method cannot accurately and stably adjust the pH value of the leaching solution, resulting in difficulty in stabilizing the pH value in the preset interval.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of battery recycling, in particular to a lithium battery lithium iron phosphate recycling control method and system. BACKGROUND

[0002] In the industrial production line of waste lithium battery lithium iron phosphate recycling, the leaching section is the key link for extracting valuable metals. With the increasing demand for lithium battery recycling, the raw materials received by the recycling production line from waste batteries are diverse, and the differences between different batches have increased significantly. This leads to differences in the pretreatment degree of waste batteries before they enter the recycling process, as well as the composition and content of non-active impurities (such as small pieces of aluminum foil, copper foil and plastic diaphragm) brought in by the battery shell. That is, in the leaching section of waste lithium battery lithium iron phosphate recycling, the initial acid-base buffer capacity of the leaching solution fluctuates dramatically due to the batch differences of raw materials caused by market diversification. Secondly, during the leaching reaction process, the continuous evolution of the internal chemical environment of the solution leads to continuous changes in the pH response characteristics. Thirdly, the existing fixed parameter PID controller is not adaptable to these continuous changes. At the same time, although manual intervention by operators tries to make up for it, it is inefficient and prone to errors, and is also limited by insufficient information. Finally, the inherent spatial non-uniformity of the industrial-grade large reactor makes single-point pH measurement information unable to accurately represent the true state of the entire reactor, resulting in systematic bias in control decisions.

[0003] The existing control method is difficult to adapt to complex and dynamic changes, and cannot achieve continuous, accurate and efficient adjustment of the pH value of the leaching solution, resulting in difficulty in stabilizing the pH value in the preset interval, which not only leads to a double decline in the recovery efficiency of target metals and the purity of the final product, but also results in high cost and poor effect of manual intervention. SUMMARY

[0004] The purpose of the present application is to provide a lithium battery lithium iron phosphate recycling control method and system to solve the problem that the existing control method cannot achieve accurate and stable adjustment of the pH value of the leaching solution, resulting in difficulty in stabilizing the pH value in the preset interval.

[0005] To achieve the above-mentioned purpose, the technical scheme adopted by the present application is as follows: a lithium battery lithium iron phosphate recycling control method, comprising the following steps:

[0006] A high-precision peristaltic pump is driven to inject a micro amount of probe reagent into the leaching solution within a certain period;

[0007] The pH value change data after the micro amount of probe reagent is injected into the leaching solution and the recycling control parameters of the lithium iron phosphate recycling control system are obtained;

[0008] The pH value change data is used to evaluate the acid-base buffering capacity of the leaching solution, and the acid-base buffering parameters of the leaching solution are determined;

[0009] Based on the acid-base buffering parameters of the leaching solution, the recovery control parameters are adjusted to obtain adjusted recovery control parameters;

[0010] The adjusted recovery control parameters are used to adjust the parameters of the recovery control system, so as to adjust the recovery control of the lithium iron phosphate recovery control system.

[0011] Preferably, the step of obtaining the pH value change data of the leaching solution after injecting the micro-probe reagent includes:

[0012] The original pH data of the leaching solution and the fluctuating pH data of the leaching solution after injecting the micro-probe reagent are obtained;

[0013] Based on the original pH data and the fluctuating pH data, the initial pH value change data of the leaching solution after injecting the micro-probe reagent is determined;

[0014] The initial pH value change data is pre-processed to obtain the initial pH value change data of the leaching solution after injecting the micro-probe reagent.

[0015] Preferably, the step of using the pH value change data to evaluate the acid-base buffering capacity of the leaching solution to determine the acid-base buffering parameters of the leaching solution includes:

[0016] The pH value change data is subjected to frequency spectrum analysis to determine the fluctuation energy parameter in the evaluation frequency range;

[0017] The fluctuation energy parameter is subjected to quantitative analysis to determine the buffering stability index;

[0018] The buffering stability index and the preset pH response sensitivity are used to evaluate the acid-base buffering capacity of the leaching solution to determine the acid-base buffering parameters of the leaching solution.

[0019] Preferably, the step of using the buffering stability index and the preset pH response sensitivity to evaluate the acid-base buffering capacity of the leaching solution to determine the acid-base buffering parameters of the leaching solution includes:

[0020] The preset pH response sensitivity is compared with the buffering stability index to determine the stability index deviation;

[0021] Based on the stability index deviation, the mapping relationship between the buffering stability index and the acid-base buffering capacity model of the leaching solution is adjusted to obtain a calibrated mapping relationship;

[0022] The acid-base buffering capacity of the leaching solution is evaluated by using the acid-base buffering capacity model, the calibrated mapping relationship and the buffering stability index, and the acid-base buffering parameters of the leaching solution are determined.

[0023] Preferably, the step of driving the high-precision peristaltic pump to inject the micro-probe reagent into the leaching solution in a certain period of time comprises:

[0024] The local environmental parameters of the micro-probe reagent region are obtained, including the stirring paddle speed, the local solid-liquid ratio and the leaching solution viscosity;

[0025] Based on the local environmental parameters, the dosage and the addition frequency of the micro-probe reagent injected into the leaching solution are adjusted to obtain the adjusted dosage and addition frequency of the micro-probe reagent;

[0026] Based on the adjusted dosage and addition frequency of the micro-probe reagent, the high-precision peristaltic pump is driven to inject the micro-probe reagent into the leaching solution in a certain period of time.

[0027] Preferably, the step of adjusting the dosage and the addition frequency of the micro-probe reagent injected into the leaching solution based on the local environmental parameters to obtain the adjusted dosage and addition frequency of the micro-probe reagent comprises:

[0028] Based on the local environmental parameters, the leaching solution overall characteristic parameters of the leaching solution are determined, including the solid phase surface activity and the ionic strength;

[0029] The dosage and the addition frequency of the micro-probe reagent injected into the leaching solution are adjusted by using the leaching solution overall characteristic parameters to obtain the adjusted dosage and addition frequency of the micro-probe reagent.

[0030] Preferably, the step of adjusting the dosage and the addition frequency of the micro-probe reagent injected into the leaching solution by using the leaching solution overall characteristic parameters to obtain the adjusted dosage and addition frequency of the micro-probe reagent comprises:

[0031] The leaching solution overall characteristic parameters are calibrated to determine the calibrated leaching solution overall characteristic parameters;

[0032] The dosage and the addition frequency of the micro-probe reagent injected into the leaching solution are adjusted by using the calibrated leaching solution overall characteristic parameters to obtain the adjusted dosage and addition frequency of the micro-probe reagent.

[0033] Preferably, the step of adjusting the recovery control parameters based on the acid-base buffering parameters of the leaching solution to obtain the adjusted recovery control parameters comprises:

[0034] Based on the acid-base buffering parameters of the leaching solution, the start-stop frequency, the flow size and the system gain coefficient of the acid liquid main addition pump are determined;

[0035] Verify the start-stop frequency, flow size and system gain coefficient of the acid liquid main adding pump, and obtain the verified start-stop frequency, flow size and system gain coefficient;

[0036] Adjust the recovery control parameters by using the verified start-stop frequency, flow size and system gain coefficient, and obtain the adjusted recovery control parameters.

[0037] Preferably, the step of adjusting the recovery control parameters of the recovery control system by using the adjusted recovery control parameters to adjust the recovery control of the lithium iron phosphate recovery control system further comprises:

[0038] Obtain the adjusted control parameters of the lithium iron phosphate recovery control system;

[0039] After storing the adjusted control parameters, send the adjusted control parameters to the display interface of the user.

[0040] The application also provides a lithium battery lithium iron phosphate recovery control system, which comprises:

[0041] A driving module is configured to drive the high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution in a certain period.

[0042] A data acquisition module is configured to acquire pH value change data of the leaching solution after the micro-probe reagent is injected and recovery control parameters of the lithium iron phosphate recovery control system.

[0043] A parameter determination module is configured to evaluate the acid-base buffering capacity of the leaching solution by using the pH value change data, and determine acid-base buffering parameters of the leaching solution.

[0044] A parameter adjustment module is configured to adjust the recovery control parameters based on the acid-base buffering parameters of the leaching solution, and obtain adjusted recovery control parameters.

[0045] A control adjustment module is configured to adjust the parameters of the recovery control system by using the adjusted recovery control parameters, so as to adjust the recovery control of the lithium iron phosphate recovery control system.

[0046] Compared with the prior art, the lithium battery lithium iron phosphate recovery control method and system have the following advantages:

[0047] The present application drives a high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution in a certain period, obtains the pH value change data of the leaching solution after the micro-probe reagent is injected and the recovery control parameter of the lithium iron phosphate recovery control system. Subsequently, the acid-base buffer capacity of the leaching solution is evaluated by using the pH value change data, and the acid-base buffer parameter of the leaching solution is determined. Based on the acid-base buffer parameter of the leaching solution, the recovery control parameter is adjusted to obtain the adjusted recovery control parameter. Finally, the recovery control parameter is adjusted to adjust the recovery control system, so as to adjust the lithium iron phosphate recovery control system. By introducing the micro-probe reagent injection and pH value change data analysis, the response characteristics of the leaching solution to the acid-base disturbance can be obtained in real time, so that the acid-base buffer capacity can be accurately evaluated. Through the accurate evaluation of the acid-base buffer parameter of the leaching solution, the recovery control parameter can be dynamically adjusted, so that the control strategy can match the actual state of the leaching solution in real time, and the adjustment lag and overshoot phenomenon in the pH value control can be effectively avoided. Further, the accuracy and stability of the pH value control are significantly improved, and the leaching process is ensured to run in the best pH interval. Therefore, the dissolution efficiency and recovery rate of the target metal can be effectively improved, the co-dissolution of impurities is inhibited, and the purity of the final recovery product is improved. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the specific embodiments of the present application, the drawings required in the specific embodiments will be briefly introduced below. In all the drawings, the elements or parts are not necessarily drawn according to the actual proportions.

[0049] Figure 1 The flow chart of the lithium iron phosphate recovery control method of the lithium battery of the present application.

[0050] Figure 2 The structural block diagram of the lithium iron phosphate recovery control system of the lithium battery of the present application.

[0051] In the figure: 210, driving module; 220, data acquisition module; 230, parameter determination module; 240, parameter adjustment module; 250, control adjustment module.

[0052] The implementation and advantages of the present application will be further described with reference to the embodiments and the drawings. DETAILED DESCRIPTION

[0053] In the following, the embodiments of the present application will be disclosed by drawings. For clear description, many practical details will be described in the following description. However, it should be understood that these practical details should not be used to limit the present application. That is, in some embodiments of the present application, these practical details are unnecessary. In addition, for the purpose of simplifying the drawings, some conventional structures and components will be shown in a simple schematic manner in the drawings.

[0054] It should be noted that all directional indications, such as upper, lower, left, right, front, back, and the like, are only used to explain the relative position relationship, movement condition and the like between components in a certain posture (as shown in the drawings), and if the certain posture changes, the directional indications will also change accordingly.

[0055] In addition, the descriptions such as "first", "second" and the like in the present application are only for the purpose of description, and are not particularly intended to indicate the order or sequence, nor to limit the present application. They are merely used to distinguish components or operations described by the same technical terms, and cannot be understood as indicating or implying the relative importance of the indicated technical features or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first", "second" can explicitly or implicitly include at least one of the features. In addition, the technical solutions of various embodiments can be combined with each other, but it must be based on the realization of ordinary skilled in the art. When the combination of technical solutions contradicts each other or cannot be realized, it should be considered that the combination of technical solutions does not exist, and is not within the protection scope required by the present application.

[0056] The existing lithium battery lithium iron phosphate recovery control method is difficult to accurately stabilize the pH value when processing diversified raw materials and dynamic change leaching process, which leads to the decrease of recovery efficiency and product purity, high cost and error-prone of manual intervention, and the single-point measurement information cannot accurately represent the overall state. Limitations such as the existing control method cannot realize the continuous, accurate and efficient adjustment of the pH value of the leaching liquid.

[0057] In order to further understand the content, characteristics and effects of the present application, the following examples are given, and the details are described as follows with reference to the accompanying drawings:

[0058] Please refer to Figure 1 The present application provides a lithium battery lithium iron phosphate recovery control method. The implementation environment of the present application is an industrial-grade lithium iron phosphate recovery production line, which includes a leaching reactor, a pH sensor, a high-precision peristaltic pump, an acid liquid dosing system, a stirring device and a central control unit. The lithium battery lithium iron phosphate recovery control method comprises the following steps:

[0059] S100, driving a high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution within a certain period. The leaching solution refers to a liquid-solid mixed system formed after the pretreated lithium iron phosphate material is mixed with acid solution in the lithium battery scrap lithium iron phosphate recovery process. The system contains dissolved metal ions, undissolved solid particles, and various chemical reaction products, and the pH value is a key indicator affecting the recovery efficiency and product purity. The high-precision peristaltic pump is a pump that can accurately control the fluid delivery amount, and its characteristics are high delivery precision and small pulsation; it is suitable for accurate dosing of micro-liquid. In this application, the high-precision peristaltic pump is used to inject a micro-probe reagent into the leaching solution to induce a measurable change in pH. The micro-probe reagent refers to a reagent that can react with a specific component in the leaching solution to cause a small but detectable change in the pH of the leaching solution. The dosage of the reagent is extremely small to avoid significant impact on the overall chemical equilibrium of the leaching solution. The purpose of this step is to detect the current acid-base buffer characteristics of the leaching solution by introducing a controllable small disturbance. For example, a high-precision peristaltic pump can be used to inject a predetermined concentration of dilute acid or dilute base solution as a probe reagent into the leaching solution at a constant small flow rate by setting its speed and working time. Another implementation is that the peristaltic pump can be operated according to a pre-set injection mode (such as pulse injection or step injection), and the dose and interval time of each injection are accurately controlled.

[0060] S200, obtaining the pH value change data of the leaching solution after injecting the micro-probe reagent and the recovery control parameters of the lithium iron phosphate recovery control system. The pH value change data refers to the dynamic response data of the pH value of the leaching solution before and after the injection of the micro-probe reagent. It reflects the resistance of the leaching solution to external acid-base disturbance, i.e. its acid-base buffer capacity. The lithium iron phosphate recovery control system refers to an automatic control system for monitoring and adjusting various process parameters (such as pH, temperature, and stirring speed) in the lithium iron phosphate recovery process. The recovery control parameters refer to the control parameters of the key actuators in the lithium iron phosphate recovery control system, such as the proportional gain, integral time, and derivative time of the PID controller. Specifically, the pH value change data is the basis for evaluating the acid-base buffer capacity. For example, a high-precision pH sensor can be set in the leaching solution to monitor and record the pH value change curve before and after the injection of the probe reagent in real time. These data can include the instantaneous value, change rate, and fluctuation amplitude of the pH value. At the same time, the current recovery control parameters of the lithium iron phosphate recovery control system, such as the parameters of the PID controller, are read to provide a basis for subsequent adjustments.

[0061] S300, evaluate the acid-base buffering capacity of the leaching solution using the pH value change data, and determine the acid-base buffering parameters of the leaching solution. The acid-base buffering capacity refers to the ability of the leaching solution to resist the addition of external acid-base substances and maintain a relatively stable pH value. This ability is affected by factors such as the concentration, type, and temperature of the buffer pair in the solution. The acid-base buffering parameters are one or a set of numerical values that quantify the acid-base buffering capacity of the leaching solution, such as buffer capacity and buffer index. This reflects the sensitivity of the leaching solution to acid-base changes. This step can model and analyze the obtained pH value change data mathematically, such as by fitting the pH titration curve, calculating the buffer capacity or buffer index, etc. to quantify the acid-base buffering capacity of the leaching solution. Specifically, the buffer slope near the current pH value can be calculated according to the response degree of the pH value to the probe reagent dosage, which can be used as the acid-base buffering parameter.

[0062] S400, adjust the recovery control parameters based on the acid-base buffering parameters of the leaching solution to obtain adjusted recovery control parameters. This step can establish a control parameter adjustment model based on the acid-base buffering parameters. When the evaluated acid-base buffering parameters show that the buffering capacity of the leaching solution is enhanced, it indicates that the solution is slow to respond to acid-base changes, and the proportional gain (P) of the PID controller can be appropriately increased or the integral time (I) can be appropriately reduced to speed up the response and avoid adjustment lag. Conversely, when the buffering capacity is weakened, it indicates that the solution is sensitive to acid-base changes, and the P gain can be appropriately reduced or the I time can be appropriately increased to reduce the risk of overshoot and improve the stability of the control.

[0063] S500, adjust the recovery control system parameters using the adjusted recovery control parameters to adjust the lithium iron phosphate recovery control system for recovery control. This step is to apply the adjusted control strategy to the production process. For example, the adjusted PID parameters are sent to the PID controller in the lithium iron phosphate recovery control system through the communication interface, so that it adjusts the acid liquid dosage according to the new parameters. Therefore, the control system can dynamically optimize its control strategy according to the real-time acid-base buffering characteristics of the leaching solution, so as to realize accurate and stable control of the pH value.

[0064] The present application actively detects the current acid-base buffering capacity of the leaching solution by introducing the injection of a micro-probe reagent. Specifically, a high-precision peristaltic pump injects a micro-probe reagent into the leaching solution within a certain period. The small disturbance causes a measurable change in the pH value of the leaching solution. Subsequently, the pH value change data is obtained and combined with the current recovery control parameters. The pH value change data is used to evaluate the acid-base buffering capacity of the leaching solution and determine the corresponding acid-base buffering parameters. For example, if the pH value response to the micro-probe reagent is sluggish, it indicates that the buffering capacity is strong; otherwise, the buffering capacity is weak. Based on the real-time acquired acid-base buffering parameters, the recovery control parameters can be intelligently adjusted. For example, when the buffering capacity is enhanced, the control parameters are adjusted to increase the response speed to avoid pH value adjustment lag; when the buffering capacity is weakened, the parameters are adjusted to reduce the sensitivity to prevent pH value overshoot. Finally, the lithium iron phosphate recovery control system is adjusted using the adjusted recovery control parameters, thereby achieving precise dynamic control of the pH value of the leaching solution. The chemical property changes of the leaching solution can be sensed and adapted in real time, ensuring that the pH value is always stable in the optimal interval, thereby significantly improving the recovery efficiency and product purity of lithium iron phosphate.

[0065] In some embodiments of the present application described above, the step of obtaining the pH value change data of the leaching solution after injecting the micro-probe reagent includes:

[0066] The original pH data in the leaching solution and the fluctuating pH data after injecting the micro-probe reagent in the leaching solution are obtained. Specifically, the original pH data refers to the pH value of the leaching solution in a stable state before the micro-probe reagent is injected, which reflects the initial acid-base environment of the leaching solution. The fluctuating pH data refers to the dynamic change data of the pH value of the leaching solution over time after the micro-probe reagent is injected, which contains the instantaneous information of the response of the leaching solution to the probe reagent. The original pH data can be obtained by measuring the pH of the leaching solution multiple times before the probe reagent is injected and taking the average to ensure its representativeness. The fluctuating pH data can be obtained by monitoring the pH value change curve of the leaching solution during the injection of the probe reagent in real time through a high-frequency pH sensor.

[0067] Based on the original pH data and the fluctuating pH data, the pH value change initial data after injecting the micro-probe reagent in the leaching solution is determined. The pH value change initial data is obtained by comparing the original pH data with the fluctuating pH data, which quantifies the direct influence of the probe reagent on the pH value of the leaching solution. For example, the difference or change rate of the fluctuating pH data relative to the original pH data can be calculated to intuitively reflect the change amplitude of the pH value. In practical applications, this data can be a time series, recording the pH value change process from the start of the probe reagent injection to the period when the pH value tends to be stable.

[0068] The pH value change initial data is pre-processed to obtain the pH value change initial data of the leaching solution after injecting the micro-probe reagent. The pre-processing of the pH value change initial data aims to eliminate possible noise, outliers or drift in the pH value change initial data, and ensure the accuracy and reliability of subsequent analysis. Specifically, the data pre-processing can include filtering, smoothing, denoising, outlier detection and correction, etc. For example, moving average filtering, Kalman filtering or wavelet denoising methods are used to obtain more accurate and stable pH value change data, providing high-quality input for subsequent acid-base buffer capacity evaluation.

[0069] The present application can comprehensively capture the pH state of the leaching solution before and after being disturbed by external disturbances by obtaining the original pH data of the leaching solution and the fluctuating pH data after injecting the probe reagent. Subsequently, the pH value change initial data is determined based on these data, which directly quantifies the immediate influence of the probe reagent on the acid-base environment of the leaching solution. By pre-processing the pH value change initial data, noise and interference introduced during measurement can be effectively removed, ensuring that the obtained pH value change data has higher accuracy and stability. Thus, a solid data foundation is laid for subsequent evaluation of the acid-base buffer capacity of the leaching solution using the pH value change data, making the evaluation result more reliable.

[0070] In some embodiments of the present application described above, the pH value change data is used to evaluate the acid-base buffer capacity of the leaching solution, and the step of determining the acid-base buffer parameters of the leaching solution includes:

[0071] The pH value change data is subjected to frequency spectrum analysis to determine the fluctuation energy parameter in the evaluation frequency range. Specifically, frequency spectrum analysis refers to converting the pH value change data in the time domain to the frequency domain to reveal the periodic or non-periodic fluctuation components contained therein. Through mathematical tools such as Fourier transform, complex pH fluctuations can be decomposed into simple waveforms of different frequencies, and the energy or amplitude of each frequency component can be calculated. The evaluation frequency range can be set according to the characteristics of the actual leaching solution and the periodicity of the probe reagent injection, for example, it can be set to a low frequency range related to the injection frequency of the probe reagent to capture the main buffer response. The fluctuation energy parameter refers to the energy size contained in the pH value change data in a specific frequency range, which reflects the intensity or strength of the pH fluctuation at that frequency.

[0072] quantitative analysis is performed on the fluctuation energy parameters to determine a buffer stability index. In this step, a single or composite index that can represent the overall buffer stability of the leaching solution is obtained by comprehensive processing of the fluctuation energy parameters at different frequencies. For example, the fluctuation energy parameters within a specific frequency range can be weighted averaged, integrated, or pattern recognized using a machine learning model to obtain the buffer stability index. The higher the index, the stronger the buffering capacity of the leaching solution, and the better the resistance to external acid-base disturbance.

[0073] The acid-base buffering capacity of the leaching solution is evaluated using the buffer stability index and a preset pH response sensitivity to determine the acid-base buffer parameters of the leaching solution. The preset pH response sensitivity can be understood as the degree of pH response of the leaching solution to a unit change in acid-base amount under ideal or standard conditions, which can be obtained through experiments or simulations in advance. By comparing or combining the actually measured buffer stability index with the preset pH response sensitivity, the acid-base buffering capacity of the current leaching solution can be more accurately evaluated. For example, a mathematical model can be constructed, with the buffer stability index and the preset pH response sensitivity as inputs, and the acid-base buffer parameters of the leaching solution as outputs. The parameters can be a numerical value or a set of curve parameters describing the buffer characteristics.

[0074] Specifically, during the lithium iron phosphate recovery process, a high-precision peristaltic pump periodically injects a micro-probe reagent into the leaching solution, and real-time pH value change data of the leaching solution is collected. In order to evaluate the acid-base buffering capacity of the leaching solution, first, the collected pH value change data is input into a data processing unit. The unit performs fast Fourier transform (FFT) on the pH value change data to obtain its frequency spectrum information. For example, an evaluation frequency range can be set, such as 0.01Hz to 0.1Hz, to capture the pH response fluctuations caused by the injection of the probe reagent. Within this frequency range, a fluctuation energy parameter is calculated, for example, the power spectral density integral value within this frequency range can be calculated. Further, the obtained fluctuation energy parameter is input into a buffer stability index calculation module. This module can use a pre-trained machine learning model, such as a support vector machine (SVM) or a neural network, to map the fluctuation energy parameter to a buffer stability index between 0 and 100. For example, when the fluctuation energy parameter is high and concentrated at a specific frequency, the buffer stability index may be high, indicating strong buffering capacity. Finally, the buffer stability index and the preset pH response sensitivity (for example, obtained through laboratory calibration, the amount of pH change caused by the injection of 1 millimole of acid / base under standard conditions) are input into an acid-base buffering capacity evaluation model. This model can be a multivariate regression model that outputs acid-base buffering parameters of the leaching solution, such as a buffer capacity value and a buffer range, based on the buffer stability index and the preset pH response sensitivity. These parameters are then used to adjust the recovery control parameters of the lithium iron phosphate recovery control system to achieve more accurate pH control and more efficient lithium iron phosphate recovery.

[0075] The scheme of the embodiment can effectively filter out random noise and irrelevant interference by introducing spectral analysis, and focus on the fluctuation energy in a specific frequency range closely related to the acid-base buffering capacity. By quantitatively analyzing the fluctuation energy parameter, the intrinsic buffering characteristics of the leaching solution can be more accurately extracted and converted into a buffer stability index with physical meaning. Moreover, in combination with the preset pH response sensitivity, the scheme can more comprehensively and finely evaluate the acid-base buffering capacity of the leaching solution, avoiding possible evaluation bias, thereby providing a more reliable basis for subsequent adjustment of recovery control parameters.

[0076] In some embodiments of the application described above, the buffer stability index and the preset pH response sensitivity are used to evaluate the acid-base buffering capacity of the leaching solution, and the step of determining the acid-base buffering parameters of the leaching solution includes:

[0077] The preset pH response sensitivity is compared with the buffer stability index to determine the stability index deviation. The preset pH response sensitivity can be understood as the expected response degree of the leaching solution to pH changes under ideal or standard conditions, while the buffer stability index reflects the actual pH fluctuation characteristics of the leaching solution after injecting the microprobe reagent. By comparing, the stability index deviation can be obtained, which aims to identify and quantify the inconsistency between the preset value and the actual situation.

[0078] Based on the stability index deviation, the mapping relationship between the buffer stability index and the acid-base buffer capacity model of the leaching solution is adjusted to obtain the calibrated mapping relationship. This step is to correct the mathematical model or empirical relationship used to convert the buffer stability index into the acid-base buffer capacity according to the stability index deviation determined above. The mapping relationship can be a function, a lookup table or a machine learning model, which is used to convert the observed buffer stability index into an acid-base buffer parameter with actual physical meaning. By adjusting based on the deviation, the mapping relationship can be more consistent with the actual characteristics of the current leaching solution, so as to obtain the calibrated mapping relationship, which aims to improve the adaptability and prediction accuracy of the model to the actual situation.

[0079] The acid-base buffer capacity of the leaching solution is evaluated using the acid-base buffer capacity model, the calibrated mapping relationship and the buffer stability index to determine the acid-base buffer parameters of the leaching solution. This step is to combine the calibrated mapping relationship with the acid-base buffer capacity model and the actually measured buffer stability index to perform the final acid-base buffer capacity evaluation. The acid-base buffer capacity model can be a theoretical model or a data-driven model, which combines the chemical composition and temperature of the leaching solution and other factors. By using the calibrated mapping relationship, the model can more accurately interpret the buffer stability index, thereby outputting more accurate acid-base buffer parameters of the leaching solution.

[0080] Specifically, by spectrum analysis and quantitative analysis, the buffer stability index of the current leaching solution is measured to be 50. First, the preset pH response sensitivity (0.1) is compared with the buffer stability index (50), for example, by the buffer stability index of 0.002 times the stability index, the theoretical sensitivity is 0.1. If there is a difference between the actual observed pH response and the theoretical value, the stability index deviation is calculated. For example, if the actual observed pH response sensitivity is 0.09, the deviation is 0.01. Based on the stability index deviation of 0.01, the mapping relationship between the buffer stability index and the acid-base buffer capacity model of the leaching solution can be adjusted. Specifically, if the mapping relationship is a linear function, it is fine-tuned by an adaptive algorithm to make it more consistent with the current deviation. After adjustment, the calibrated mapping relationship is obtained. Finally, the acid-base buffer capacity of the leaching solution is evaluated by using the acid-base buffer capacity model, the calibrated mapping relationship and the currently measured buffer stability index 50, so as to determine more accurate acid-base buffer parameters. In this way, even if the characteristics of the leaching solution change slightly, the accuracy of the evaluation can be ensured through dynamic calibration.

[0081] In this embodiment, the preset pH response sensitivity is compared with the actually measured buffer stability index to quantify the deviation. Since the stability index deviation is identified, the mapping relationship between the buffer stability index and the acid-base buffer capacity model can be adjusted subsequently. The adjustment process is equivalent to real-time calibration of the evaluation model, ensuring that the model can adapt to the dynamic changes of the leaching solution. Thus, using the calibrated mapping relationship for evaluation can more accurately reflect the true acid-base buffer capacity of the leaching solution, thereby providing more reliable parameter basis for the lithium iron phosphate recovery control system.

[0082] In some embodiments of the above application, the step of driving the high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution within a certain period of time comprises:

[0083] The local environmental parameters of the micro-probe reagent region are obtained, including the stirring paddle speed, the local solid-liquid ratio and the viscosity of the leaching solution. Specifically, obtaining the local environmental parameters of the micro-probe reagent region means that when the micro-probe reagent is injected into a specific region of the leaching solution, the physical and chemical parameters such as the stirring paddle speed, the local solid-liquid ratio and the viscosity of the leaching solution in the region are obtained in real time by sensors or monitoring devices. Among them, the stirring paddle speed reflects the mixing intensity and fluid dynamics state of the leaching solution, the local solid-liquid ratio represents the relative content of solid particles and liquid components in the region, and the viscosity of the leaching solution reflects the flow resistance of the fluid.

[0084] Based on the local environment parameters, the dosage and dosing frequency of the micro-probe reagent injected into the leaching solution are adjusted to obtain the adjusted dosage and dosing frequency of the micro-probe reagent. Specifically, when the local environment parameters show that the stirring paddle speed is low, the local solid-liquid ratio is high, or the leaching solution viscosity is large, it means that the dispersion and mixing efficiency of the probe reagent is low. At this time, the dosing frequency of the micro-probe reagent can be adjusted accordingly, for example, the dosing frequency is increased to achieve multiple injections of small amounts, or the dosage of a single injection is adjusted to ensure that the probe reagent can be more uniformly and fully contacted with the leaching solution and react. Conversely, in the area with sufficient stirring and low viscosity, the dosing frequency or dosage can be appropriately reduced to avoid waste of reagent and maintain system stability.

[0085] Based on the adjusted dosage and dosing frequency of the micro-probe reagent, a high-precision peristaltic pump is driven to inject the micro-probe reagent into the leaching solution within a certain period. Specifically, by the high-precision peristaltic pump, the injection amount and injection timing of the micro-probe reagent can be accurately controlled according to the adjusted parameters, thereby realizing fine management of the probe reagent dosing process.

[0086] Specifically, in the lithium battery lithium iron phosphate recovery process, there is a situation that the solid-liquid ratio in the local area of the stirring tank of the leaching solution is high and the leaching solution viscosity is large. If the micro-probe reagent is injected according to the existing fixed dosage and frequency, the probe reagent in this area may not be uniformly dispersed due to limited diffusion, resulting in inaccurate local pH response. The scheme of the present application deploys sensors near the micro-probe reagent injection point to obtain the stirring paddle speed, local solid-liquid ratio, and leaching solution viscosity in real time. For example, when it is detected that the stirring paddle speed is lower than the preset threshold, the local solid-liquid ratio is higher than the preset threshold, and the leaching solution viscosity is higher than the preset threshold, it is judged that the mixing conditions in this area are poor. At this time, the control system will automatically adjust the dosing strategy of the peristaltic pump based on the local environment parameters, for example, slightly reduce the single injection dosage, but adjust the dosing frequency from every 5 minutes to every 2 minutes, or use pulse injection mode, to promote faster dispersion and more uniform mixing of the probe reagent in the local area. Through dynamic adjustment, even in a complex local environment, the effective action of the probe reagent can be ensured, so as to obtain more accurate pH value change data, providing a reliable basis for subsequent acid-base buffer capacity evaluation and recovery control parameter adjustment.

[0087] The scheme of the present application effectively avoids the influence of local environment differences of the leaching solution on the injection effect of the micro-probe reagent by acquiring the local environment parameters of the micro-probe reagent injection area in real time and dynamically adjusting the dosage and addition frequency of the probe reagent. Due to the consideration of key parameters such as stirring paddle speed, local solid-liquid ratio and leaching solution viscosity, the probe reagent can be injected in the most suitable way for the current local environment, ensuring the uniform dispersion and sufficient reaction of the probe reagent in the leaching solution, and further ensuring the accuracy and representativeness of the subsequent pH value change data.

[0088] In some embodiments of the present application, based on the local environment parameters, the dosage and addition frequency of the micro-probe reagent injected into the leaching solution are adjusted, and the step of obtaining the adjusted dosage and addition frequency of the micro-probe reagent includes:

[0089] Based on the local environment parameters, the leaching solution overall characteristic parameters including solid phase surface activity and ionic strength of the leaching solution are determined. Specifically, the local environment parameters are physical or rheological parameters measured near the micro-probe reagent injection area, such as stirring paddle speed, local solid-liquid ratio and leaching solution viscosity. They reflect the mixing state and mass transport characteristics of the local area. The leaching solution overall characteristic parameters are comprehensive indicators that can reflect the macroscopic chemical properties and reaction activity of the leaching solution, and specifically include solid phase surface activity and ionic strength. The solid phase surface activity refers to the chemical activity of the surface of the solid phase particles in the leaching solution, which affects the reaction rate and mass adsorption or desorption behavior at the solid-liquid interface. The ionic strength represents the total concentration of all ions in the solution, which has a significant impact on the activity coefficient of ions in the solution, reaction equilibrium and buffer capacity. The determination of the leaching solution overall characteristic parameters can be achieved by modeling analysis of the local environment parameters or by calculation combined with other sensor data. For example, the local environment parameters such as stirring paddle speed, local solid-liquid ratio and leaching solution viscosity can be used as input to derive the solid phase surface activity and ionic strength of the leaching solution through a pre-established physical-chemical model or machine learning model.

[0090] The leaching solution overall characteristic parameters are used to adjust the dosage and addition frequency of the micro-probe reagent injected into the leaching solution to obtain the adjusted dosage and addition frequency of the micro-probe reagent. Specifically, after the leaching solution overall characteristic parameters are determined, these parameters can be used to more accurately adjust the dosage and addition frequency of the micro-probe reagent. For example, when the solid phase surface activity is high, the dosage of the probe reagent may need to be increased to ensure sufficient reaction; when the ionic strength is large, the addition frequency may need to be adjusted to adapt to the change in solution buffer capacity.

[0091] Specifically, during the lithium iron phosphate recovery process, the local environmental parameters of the leaching solution are monitored in real time, such as a stirring paddle speed of 150 rpm, a local solid-liquid ratio of 0.2, and a leaching solution viscosity of 5 mPa·s. Based on the local environmental parameters, the current solid phase surface activity of the leaching solution can be calculated as 0.8 (relative value) and the ionic strength as 0.5 M through a pre-trained neural network model. According to the overall characteristic parameters of the leaching solution, the dosage of the micro-probe reagent should be adjusted to 10 mL / min and the dosing frequency should be adjusted to once every 30 seconds by referring to the preset adjustment strategy table or through algorithm calculation. For example, when the solid phase surface activity is detected to suddenly increase, it is judged that the reaction activity of the solid phase particles is enhanced, and more probe reagents may be needed to maintain the reaction balance, so the dosage is correspondingly increased; when the ionic strength fluctuates greatly, it is considered that the buffer capacity of the solution changes, so the dosing frequency is adjusted to ensure that the probe reagent can effectively play a role. In this way, the injection of the micro-probe reagent can more accurately respond to the dynamic changes of the leaching solution, thereby achieving more stable and efficient lithium iron phosphate recovery control.

[0092] The scheme of the embodiment solves the limitation of adjustment relying only on local environmental parameters by introducing overall characteristic parameters of the leaching solution. Since the solid phase surface activity and ionic strength can more comprehensively reflect the chemical reaction activity and solution environment of the leaching solution, the adjustment of the dosage and dosing frequency of the micro-probe reagent can be more accurate and adaptive. Specifically, the solid phase surface activity directly affects the interaction between the probe reagent and the solid phase particles, while the ionic strength affects the behavior of ions in the solution and the effective concentration of the probe reagent. By considering these overall characteristic parameters comprehensively, the response of the leaching solution to the probe reagent can be more accurately predicted, thereby optimizing the dosing strategy.

[0093] In some embodiments of the above-mentioned application, the dosage and dosing frequency of the micro-probe reagent injected into the leaching solution are adjusted using the overall characteristic parameters of the leaching solution, and the step of obtaining the adjusted dosage and dosing frequency of the micro-probe reagent comprises:

[0094] The overall characteristic parameters of the leaching solution are calibrated to determine the calibrated overall characteristic parameters of the leaching solution. Specifically, calibrating the overall characteristic parameters of the leaching solution means that the initially obtained overall characteristic parameters of the leaching solution are modified and optimized through a pre-set calibration program or algorithm to eliminate or reduce the influence of measurement errors, system deviations or environmental disturbances.

[0095] The dose and frequency of the micro-probe reagent injected into the leaching solution are adjusted using the calibrated overall characteristic parameters of the leaching solution, to obtain the adjusted dose and frequency of the micro-probe reagent. The overall characteristic parameters of the leaching solution are key indicators representing the macroscopic properties of the leaching solution, such as solid surface activity and ionic strength. The calibration process can include comparison with standard reference values, application of statistical methods for data smoothing and denoising, or prediction correction using machine learning models, etc. The purpose is to ensure that the overall characteristic parameters of the leaching solution used can more accurately reflect the true state of the leaching solution. In this step, when the addition of the micro-probe reagent is controlled, the original overall characteristic parameters of the leaching solution, which may have deviations, are no longer directly used, but the calibrated and more accurate parameters are used. This helps to ensure that the dosage and timing of the micro-probe reagent can more accurately match the actual needs of the leaching solution, thereby achieving more refined recovery control.

[0096] Specifically, in the lithium iron phosphate recovery process, the solid surface activity parameter in the overall characteristic parameters of the leaching solution estimated by the sensor and the model has a 5% underestimation bias due to sensor drift or model simplification. Without calibration, based on this underestimated parameter, it may be mistakenly believed that the solid surface activity of the leaching solution is low, resulting in an inappropriate increase in the dosage of the micro-probe reagent, causing reagent waste.

[0097] The scheme of the present embodiment effectively avoids the deviation problem of the original parameters by introducing a calibration step for the overall characteristic parameters of the leaching solution. Specifically, after determining the overall characteristic parameters of the leaching solution, they are not directly used to adjust the dose and frequency of the micro-probe reagent, but are calibrated. The calibration process can identify and correct systematic errors or random fluctuations in the parameters, so that the calibrated overall characteristic parameters of the leaching solution can more accurately reflect the true state of the leaching solution. Due to the improvement in the accuracy of the parameters, the subsequent adjustment of the dose and frequency of the micro-probe reagent based on these calibrated parameters is more accurate and reliable. For example, if the original solid surface activity parameter is underestimated, the calibration process will correct it to a value closer to the true value, thereby avoiding the impact on reaction efficiency due to insufficient reagent addition.

[0098] In some embodiments of the above-mentioned embodiments of the present application, the step of adjusting the recovery control parameter based on the acid-base buffer parameter of the leaching solution to obtain the adjusted recovery control parameter comprises:

[0099] Based on the acid-base buffer parameter of the leaching solution, the start-stop frequency, flow size and system gain coefficient of the acid main addition pump are determined. Specifically, this step means that according to the actual acid-base buffering capacity of the leaching solution, the operating parameters of the acid main addition pump in the recovery control process are calculated and set.

[0100] The start-stop frequency, flow size, and system gain coefficient of the acid liquid main feeding pump are verified, and the verified start-stop frequency, flow size, and system gain coefficient are obtained. The start-stop frequency refers to the number of times the acid liquid main feeding pump starts and stops in a unit time, and its purpose is to control the intermittent addition of acid liquid to avoid sharp fluctuations in pH value. The flow size refers to the volume or rate of acid liquid delivered by the acid liquid main feeding pump each time it starts, and its purpose is to control the amount of acid liquid added to achieve accurate adjustment of the pH value of the leaching solution. The system gain coefficient refers to the response strength of the control system to the pH value deviation, and its purpose is to optimize the dynamic response characteristics of the control system to ensure that the system can quickly and stably recover when facing disturbances.

[0101] The verified start-stop frequency, flow size, and system gain coefficient are used to adjust the recovery control parameters, and the adjusted recovery control parameters are obtained. Specifically, this step refers to evaluating and calibrating the initially determined start-stop frequency, flow size, and system gain coefficient through simulation testing, small-scale experiments, or historical data analysis before or during actual operation. The purpose is to ensure that these parameters can work stably and effectively in the actual recovery control environment, avoiding control errors or low efficiency due to improper parameter settings. The verification process can include monitoring and analyzing indicators such as pH value response curve, acid consumption, and lithium iron phosphate recovery rate.

[0102] Specifically, during the lithium iron phosphate recovery process, the acid-base buffer parameter evaluation result of the leaching solution shows that it has strong buffering capacity and requires a relatively large amount of acid liquid to effectively change its pH value. Based on the strong acid-base buffer parameter, the control system first determines the initial operating parameters of the acid liquid main feeding pump. For example, the start-stop frequency can be set to 3 times per minute, the flow size for each addition is 50 milliliters per time, and the system gain coefficient is set to 0.8. Subsequently, the initial parameters are sent to the verification module for simulation or small-scale experimental verification. During the verification process, the actual response curve of the pH value is monitored. If it is found that the pH value changes slowly and fails to achieve the expected target, or there is an overshoot phenomenon, the start-stop frequency, flow size, or system gain coefficient will be adjusted based on the verification results. For example, the start-stop frequency can be adjusted to 4 times per minute, or the flow size can be adjusted to 60 milliliters per time to improve the response speed and accuracy of the pH value. After the verified and qualified start-stop frequency, flow size, and system gain coefficient are obtained, for example, the final determination is 4 times of start-stop per minute, 60 milliliters of flow per time, and a system gain coefficient of 0.85, which will be used to adjust the overall recovery control parameters of the lithium iron phosphate recovery control system. The recovery control system will drive the acid liquid main feeding pump according to the optimized parameters to achieve accurate and stable control of the pH value of the leaching solution, thereby ensuring efficient recovery of lithium iron phosphate.

[0103] The scheme of the embodiment avoids the possible roughness in the adjustment of the recovery control parameters in the existing method by closely linking the acid-base buffer parameters of the leaching solution with the specific operation parameters (start-stop frequency, flow size and system gain coefficient) of the main acid liquid feeding pump. Specifically, the acid-base buffer parameters of the leaching solution reflect its ability to resist pH value changes. When the buffer capacity is strong, a larger amount of acid liquid or more frequent feeding is needed to change the pH value; otherwise, a smaller amount of feeding or a lower frequency is needed. By determining the start-stop frequency, flow size and system gain coefficient of the main acid liquid feeding pump based on these buffer parameters, the acid liquid feeding strategy can be matched with the actual chemical properties of the leaching solution, thereby achieving precise pH value regulation. The determination of the start-stop frequency helps to achieve pulse feeding of the acid liquid, avoiding local over-acidification or sharp fluctuations in the pH value caused by one-time large feeding, which is crucial for maintaining the stable state of the leaching solution. The determination of the flow size directly controls the amount of acid liquid fed each time, ensuring that the target pH value can be reached in the most economical and effective way under different buffer capacities. The introduction of the system gain coefficient enables the control system to dynamically adjust the response speed and intensity of the main acid liquid feeding pump according to the size of the pH value deviation, thereby improving the robustness and anti-interference ability of the system. In addition, the parameters are verified to ensure the applicability and effectiveness of the determined parameters under actual working conditions. Through verification, unreasonable parameter settings can be discovered and corrected in a timely manner, avoiding control failure due to the deviation between theoretical calculation and actual situation. Due to the refined parameter determination, verification and application mechanism, the recovery control system can respond more intelligently and accurately to the pH value changes of the leaching solution, thereby optimizing the recovery process of lithium iron phosphate.

[0104] In some embodiments of the present application, the step of adjusting the recovery control parameters of the recovery control system to adjust the recovery control of the lithium iron phosphate recovery control system further includes:

[0105] Obtaining the adjusted recovery control parameters of the lithium iron phosphate recovery control system. This step refers to reading and capturing the currently effective and adjusted control parameters after the lithium iron phosphate recovery control system completes parameter adjustment and applies new recovery control parameters through system interface, sensor or data bus, etc. The control parameters may include but are not limited to the start-stop frequency, flow size and system gain coefficient of the main acid liquid feeding pump, etc. Among them, the adjusted control parameters can be understood as the actual effective operation instructions or set values of the system after executing the recovery control adjustment.

[0106] After the storage processing of the adjustment control parameters, the adjustment control parameters are sent to the display interface of the user. Specifically, after obtaining the adjusted control parameters, the parameters are first stored. The storage processing can include formatting the parameters, adding a timestamp, associating operation logs or user identity information, etc., and saving them to a local storage device, a database or a cloud server to realize data persistence and traceability. Subsequently, the adjustment control parameters after storage processing are transmitted to the display interface of the user, such as a human-machine interface (HMI), a control room display, a mobile application or a web dashboard, etc., so that the operating personnel can real-time view, monitor and analyze the running state of the system.

[0107] The scheme of the embodiment immediately obtains and stores the adjusted control parameters after the recovery control adjustment is completed, and sends them to the display interface of the user, so that the operating personnel not only knows that the system has been adjusted, but also clearly knows the specific adjustment content. The transparency and traceability of the control parameters are ensured, and necessary data basis is provided for subsequent system performance evaluation, fault diagnosis and optimization.

[0108] Based on any one of the lithium battery lithium iron phosphate recovery control methods in the above embodiments, please refer to Figure 2 The application also provides a lithium battery lithium iron phosphate recovery control system, which comprises a driving module 210, a data acquisition module 220, a parameter determination module 230, a parameter adjustment module 240 and a control adjustment module 250.

[0109] The driving module 210 is used to drive the high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution in a certain period.

[0110] The data acquisition module 220 is used to acquire the pH value change data after the micro-probe reagent is injected into the leaching solution and the recovery control parameters of the lithium iron phosphate recovery control system.

[0111] The parameter determination module 230 is used to evaluate the acid-base buffer capacity of the leaching solution by using the pH value change data, and determine the acid-base buffer parameters of the leaching solution.

[0112] The parameter adjustment module 240 is used to adjust the recovery control parameters based on the acid-base buffer parameters of the leaching solution, to obtain the adjusted recovery control parameters.

[0113] The control adjustment module 250 is used to adjust the parameters of the recovery control system by using the adjusted recovery control parameters, to adjust the recovery control of the lithium iron phosphate recovery control system.

[0114] In this embodiment, the driving module 210 actively injects the microprobe reagent into the leaching solution, and the data acquisition module 220 captures the pH value change data caused thereby in real time. Subsequently, the parameter determination module 230 intelligently analyzes these data, quantifies the current acid-base buffering capacity of the leaching solution, and determines the corresponding acid-base buffering parameters. For example, if the pH value is sluggish in response to the microprobe reagent, it indicates that the buffering capacity is strong; otherwise, the buffering capacity is weak. Based on these real-time acquired acid-base buffering parameters, the parameter adjustment module 240 can intelligently adjust the recovery control parameters. For example, when the buffering capacity is enhanced, the system will adjust the control parameters to improve the response speed and avoid pH value adjustment lag; when the buffering capacity is weakened, the parameters are adjusted to reduce the sensitivity and prevent pH value overshoot. Finally, the control adjustment module 250 applies these adjusted recovery control parameters to the lithium iron phosphate recovery control system, thereby realizing accurate and dynamic control of the pH value of the leaching solution.

[0115] The above embodiments are only used to illustrate the technical solutions of the present application, but not limit it; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application, and they should be covered in the scope of the present application.

Claims

1. A lithium battery lithium iron phosphate recovery control method, characterized by, The method comprises the following steps: driving a high-precision peristaltic pump to inject a micro-probe reagent into the leaching solution within a certain period; obtaining pH value change data of the leaching solution after the micro-probe reagent is injected and recovery control parameters of a lithium iron phosphate recovery control system; evaluating the acid-base buffering capacity of the leaching solution by using the pH value change data to determine acid-base buffering parameters of the leaching solution; adjusting the recovery control parameters based on the acid-base buffering parameters of the leaching solution to obtain adjusted recovery control parameters; adjusting the parameters of the recovery control system by using the adjusted recovery control parameters to adjust the recovery control of the lithium iron phosphate recovery control system; the step of evaluating the acid-base buffering capacity of the leaching solution by using the pH value change data to determine the acid-base buffering parameters of the leaching solution comprises: performing frequency spectrum analysis on the pH value change data to determine fluctuation energy parameters within an evaluation frequency range; performing quantitative analysis on the fluctuation energy parameters to determine a buffering stability index; evaluating the acid-base buffering capacity of the leaching solution by using the buffering stability index and a preset pH response sensitivity to determine the acid-base buffering parameters of the leaching solution; the step of evaluating the acid-base buffering capacity of the leaching solution by using the buffering stability index and the preset pH response sensitivity to determine the acid-base buffering parameters of the leaching solution comprises: comparing the preset pH response sensitivity with the buffering stability index to determine a stability index deviation; based on the stability index deviation, adjusting a mapping relationship between the buffering stability index and an acid-base buffering capacity model of the leaching solution to obtain a calibrated mapping relationship; evaluating the acid-base buffering capacity of the leaching solution by using the acid-base buffering capacity model, the calibrated mapping relationship and the buffering stability index to determine the acid-base buffering parameters of the leaching solution.

2. The lithium battery lithium iron phosphate recovery control method of claim 1, wherein, the step of obtaining the pH value change data of the leaching solution after the micro-probe reagent is injected comprises: obtaining original pH data in the leaching solution and fluctuation pH data after the micro-probe reagent is injected into the leaching solution; based on the original pH data and the fluctuation pH data, determining pH value change initial data after the micro-probe reagent is injected into the leaching solution; performing data preprocessing on the pH value change initial data to obtain the pH value change data of the leaching solution after the micro-probe reagent is injected.

3. The lithium battery lithium iron phosphate recovery control method of claim 1, wherein, the step of driving the high-precision peristaltic pump to inject the micro-probe reagent into the leaching solution within a certain period comprises: obtaining local environmental parameters of the micro-probe reagent region, including stirring paddle speed, local solid-liquid ratio and leaching solution viscosity; based on the local environmental parameters, adjusting the dosage and addition frequency of the micro-probe reagent injected into the leaching solution to obtain adjusted dosage and addition frequency of the micro-probe reagent; based on the adjusted dosage and addition frequency of the micro-probe reagent, driving the high-precision peristaltic pump to inject the micro-probe reagent into the leaching solution within a certain period.

4. The lithium battery lithium iron phosphate recovery control method of claim 3, wherein, the step of adjusting the dosage and addition frequency of the micro-probe reagent injected into the leaching solution based on the local environmental parameters to obtain the adjusted dosage and addition frequency of the micro-probe reagent comprises: determine, based on the local environment parameter, a whole-liquor characteristic parameter of the leaching liquor including solid-phase surface activity and ionic strength of the leaching liquor; adjust, by using the whole-liquor characteristic parameter, a dosage and a feeding frequency of the micro-probe reagent injected into the leaching liquor, to obtain an adjusted dosage and feeding frequency of the micro-probe reagent.

5. The lithium battery lithium iron phosphate recovery control method of claim 4, wherein, The step of adjusting, by using the whole-liquor characteristic parameter, the dosage and the feeding frequency of the micro-probe reagent injected into the leaching liquor, to obtain the adjusted dosage and feeding frequency of the micro-probe reagent, includes: calibrate the whole-liquor characteristic parameter to determine a calibrated whole-liquor characteristic parameter; adjust, by using the calibrated whole-liquor characteristic parameter, the dosage and the feeding frequency of the micro-probe reagent injected into the leaching liquor, to obtain an adjusted dosage and feeding frequency of the micro-probe reagent.

6. The lithium battery lithium iron phosphate recovery control method of claim 1, wherein, The step of adjusting, based on the acid-base buffer parameter of the leaching liquor, the recovery control parameter to obtain an adjusted recovery control parameter includes: determine, based on the acid-base buffer parameter of the leaching liquor, a start-stop frequency, a flow size and a system gain coefficient of the acid liquor main feeding pump; verify the start-stop frequency, the flow size and the system gain coefficient of the acid liquor main feeding pump to obtain a verified start-stop frequency, a verified flow size and a verified system gain coefficient; adjust, by using the verified start-stop frequency, the verified flow size and the verified system gain coefficient, the recovery control parameter to obtain an adjusted recovery control parameter.

7. The lithium battery lithium iron phosphate recovery control method of claim 1, wherein, After the step of adjusting, by using the adjusted recovery control parameter, the recovery control system parameter to adjust the recovery control of the lithium iron phosphate recovery control system, the method further includes: obtain an adjusted control parameter of the lithium iron phosphate recovery control system; store the adjusted control parameter and send the adjusted control parameter to a display interface of a user.

8. A lithium battery lithium iron phosphate recovery control system, characterized by, The system includes: a driving module configured to drive the high-precision peristaltic pump to inject the micro-probe reagent into the leaching liquor in a certain period; a data acquisition module configured to acquire pH value change data of the leaching liquor after the micro-probe reagent is injected into the leaching liquor and a recovery control parameter of the lithium iron phosphate recovery control system; a parameter determination module configured to evaluate an acid-base buffer capacity of the leaching liquor by using the pH value change data to determine an acid-base buffer parameter of the leaching liquor; further configured to perform frequency spectrum analysis on the pH value change data to determine a fluctuation energy parameter in an evaluation frequency range; perform quantitative analysis on the fluctuation energy parameter to determine a buffer stability index; evaluate the acid-base buffer capacity of the leaching liquor by using the buffer stability index and a preset pH response sensitivity to determine the acid-base buffer parameter of the leaching liquor; further configured to compare the preset pH response sensitivity with the buffer stability index to determine a stability index deviation; adjust a mapping relationship between the buffer stability index and an acid-base buffer capacity model of the leaching liquor based on the stability index deviation to obtain a calibrated mapping relationship; evaluate the acid-base buffer capacity of the leaching liquor by using the acid-base buffer capacity model, the calibrated mapping relationship and the buffer stability index to determine the acid-base buffer parameter of the leaching liquor; and a parameter adjustment module configured to adjust the recovery control parameter of the lithium iron phosphate recovery control system by using the acid-base buffer parameter of the leaching liquor. The parameter adjustment module is configured to adjust the recovery control parameter based on the acid-base buffer parameter of the leaching solution to obtain an adjusted recovery control parameter. The control adjustment module is configured to perform parameter adjustment on the recovery control system by using the adjusted recovery control parameter, so as to adjust the recovery control of the lithium iron phosphate recovery control system.

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