Battery material flash drying adaptive control method and system based on solid-liquid ratio

Abstract

The application provides a battery material flash drying self-adaptive control method and system based on solid-liquid ratio, relates to the technical field of drying control, and the method comprises the following steps: obtaining the real-time solid-liquid ratio of battery material slurry, inputting a feedforward controller, generating a feedforward reference value, and issuing the feedforward reference value to an actuator of a flash dryer; performing feedback correction on the feedforward reference value by using an outer loop controller, calculating an air inlet temperature correction amount and / or a feed rate correction amount, and fine-tuning the feedforward reference value; and controlling the actuator of the flash dryer by using an inner loop controller to receive the outer loop output value as a set value. The technical problem that the prior art cannot adapt to real-time fluctuations in the solid-liquid ratio by using fixed parameters or single feedback control, resulting in a drying parameter response lag and insufficient drying quality, is solved. Through real-time solid-liquid ratio feedforward combined with outer loop feedback correction, the technical effect of realizing self-adaptive matching of flash drying parameters and improving the drying uniformity and efficiency of battery materials is achieved.

Description

Technical Field

[0001] This invention relates to the field of drying control technology, specifically to an adaptive control method and system for flash drying of battery materials based on solid-liquid ratio. Background Technology

[0002] In the production process of battery materials, flash drying is used for slurry drying and molding. The flash dryer dries the wet material instantly with high-speed hot air. Its drying effect directly determines the final moisture content of the battery material, which in turn affects the subsequent electrode preparation process and the electrochemical performance of the final battery product.

[0003] Currently, the flash drying process of battery material slurries generally employs fixed parameter control or a single outlet air temperature feedback control strategy. Operators set key parameters such as inlet air temperature, feed rate, induced draft fan frequency, and stirring speed based on experience, relying on outlet air temperature deviations for feedback adjustments during the drying process. However, the solid-liquid ratio of battery material slurries is not a constant value; it fluctuates continuously due to the influence of upstream batching, grinding, storage, and transportation. Existing fixed parameter control methods cannot detect real-time changes in the solid-liquid ratio and cannot adjust operating parameters immediately upon disturbances. They can only passively wait for outlet air temperature deviations before making feedback adjustments, resulting in a lag in drying parameter response. This leads to significant fluctuations in the final moisture content of the output material, making it difficult to guarantee consistent drying quality.

[0004] In summary, existing technologies, which employ fixed parameters or single feedback control, cannot adapt to real-time fluctuations in the solid-liquid ratio, resulting in technical problems such as delayed response of drying parameters and insufficient drying quality. Summary of the Invention

[0005] The purpose of this application is to provide an adaptive control method and system for flash drying of battery materials based on solid-liquid ratio, which solves the technical problem that the existing technology uses fixed parameters or single feedback control, which cannot adapt to real-time fluctuations in solid-liquid ratio, resulting in lagging response of drying parameters and insufficient drying quality.

[0006] In view of the above problems, this application provides an adaptive control method and system for flash drying of battery materials based on solid-liquid ratio.

[0007] The first aspect of this application provides an adaptive control method for flash drying of battery materials based on solid-liquid ratio. The method includes: acquiring the real-time solid-liquid ratio of the battery material slurry; inputting the real-time solid-liquid ratio into a feedforward controller, which generates feedforward reference values ​​for inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and operating parameters, and sends these values ​​to the actuator of the flash dryer; performing feedback correction on the feedforward reference values ​​using an outer loop controller, which uses outlet air temperature or drying process characteristic parameters as feedback signals to calculate inlet air temperature correction and / or feed rate correction, and fine-tunes the feedforward reference values ​​based on the correction values ​​to generate an outer loop output value; and receiving the outer loop output value as a setpoint through an inner loop controller to control the actuator of the flash dryer.

[0008] Optionally, a microwave signal is emitted to the battery material slurry flowing through the detection pipeline, and the resonant frequency shift and power attenuation of the microwave signal after passing through the slurry are detected to generate a microwave detection signal; an ultrasonic signal is emitted to the battery material slurry flowing through the detection pipeline, and the ultrasonic signal after penetrating the slurry is received, and the ultrasonic attenuation characteristics and transit time characteristics are extracted to generate an ultrasonic detection signal; the temperature of the battery material slurry flowing through the detection pipeline is collected to generate a temperature detection signal; the microwave detection signal is corrected using the temperature detection signal; and the current detection state is determined based on the ultrasonic detection signal to determine whether it meets the reliability conditions. If it does, the corrected microwave detection signal is output as a valid signal and converted into a real-time solid-liquid ratio; if it does not meet the conditions, the current solid-liquid ratio data is marked as invalid and a backup output strategy is switched.

[0009] Optionally, a pre-trained temperature-dielectric constant drift mapping relationship is invoked, and the dielectric constant temperature drift at the current slurry temperature is determined based on the temperature detection signal; the microwave resonant frequency offset is then corrected using the dielectric constant temperature drift.

[0010] Optionally, the ultrasonic attenuation characteristics and transit time characteristics are compared with the preset standard characteristic range under normal slurry flow conditions; when both the ultrasonic attenuation characteristics and transit time characteristics are within the standard characteristic range, the credibility condition is determined to be met; when the ultrasonic attenuation characteristics and / or transit time characteristics exceed the standard characteristic range, the credibility condition is determined to be unmet.

[0011] Optionally, the backup output strategy is as follows: when the confidence condition is not met for multiple consecutive detection cycles, the solid-liquid ratio data in the most recent valid confidence cycle is used as the current output value, and a detection anomaly prompt is issued on the operation interface.

[0012] Optionally, the continuous variation range of the solid-liquid ratio is divided into multiple state intervals, and a set of optimal operating parameter reference values ​​is pre-configured for each state interval. The state interval to which the current real-time solid-liquid ratio belongs is determined. If the current real-time solid-liquid ratio coincides with the center value of the state interval to which it belongs, the operating parameter reference value corresponding to the state interval to which it belongs is directly called as the feedforward reference value output. If the current real-time solid-liquid ratio falls between the center values ​​of two adjacent state intervals, the operating parameter reference values ​​corresponding to the two intervals are proportionally converted according to the relative position of the current real-time solid-liquid ratio between the center values ​​of the two adjacent intervals to obtain the operating parameter feedforward reference value under the current solid-liquid ratio.

[0013] Optionally, for each target battery material, during the equipment commissioning phase, an orthogonal experiment of all process parameters is conducted using standard solid-liquid ratio materials. With the dual optimization objectives of final moisture content qualification and minimum energy consumption, the optimal combination of inlet air temperature, optimal feed rate, optimal induced draft fan frequency, and optimal stirring speed under each state interval is determined as the optimal operating parameter benchmark value for each state interval and stored in the parameter mapping table of the feedforward controller. When switching between different types of battery materials, the pre-stored parameter mapping table is called for switching.

[0014] Optionally, the real-time outlet air temperature at the outlet duct of the drying host or the ultrasonic echo characteristic parameters at the outlet of the drying host are collected as feedback signals; the deviation between the feedback signal and the target setpoint is calculated; the deviation is input to the outer loop controller, which calls the corresponding control parameters according to the current solid-liquid ratio state range to calculate the inlet air temperature correction and the feed rate correction; the inlet air temperature correction and the feed rate correction are respectively superimposed on the feed-forward reference values ​​of the inlet air temperature setpoint and the feed-forward reference values ​​of the feed rate setpoint to generate the inlet air temperature correction value and the feed rate correction value output by the outer loop, which are used as the outer loop output values.

[0015] Optionally, when the dryer is in steady-state operation, the outlet air temperature is used as the feedback signal; when the dryer is in the start-stop transition phase or the outlet air temperature signal fluctuation exceeds a preset threshold, the feedback signal is switched to ultrasonic echo characteristic parameters; the ultrasonic echo characteristic parameters include at least one of echo amplitude attenuation value and transit time offset value.

[0016] A second aspect of this application provides an adaptive control system for flash drying of battery materials based on solid-liquid ratio. The adaptive control system includes: a solid-liquid ratio acquisition module for acquiring the real-time solid-liquid ratio of the battery material slurry; a reference value generation module for inputting the real-time solid-liquid ratio into a feedforward controller, which generates feedforward reference values ​​for inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and operating parameters, and sends these values ​​to the actuator of the flash dryer; an output value generation module for feedback correction of the feedforward reference values ​​using an outer loop controller, which calculates the inlet air temperature correction and / or feed rate correction using outlet air temperature or drying process characteristic parameters as feedback signals, and fine-tunes the feedforward reference values ​​based on the correction values ​​to generate an outer loop output value; and an execution control module for receiving the outer loop output value as a setpoint through an inner loop controller to control the actuator of the flash dryer.

[0017] One or more technical solutions provided in this application have at least the following technical effects or advantages: The method provided in this application embodiment obtains the real-time solid-liquid ratio of the battery material slurry; inputs the real-time solid-liquid ratio into a feedforward controller, which generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and operating parameters, and sends these values ​​to the actuator of the flash dryer; performs feedback correction on the feedforward reference values ​​using an outer loop controller, which uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction and / or feed rate correction, and fine-tunes the feedforward reference values ​​based on the correction values ​​to generate an outer loop output value; and receives the outer loop output value as a setpoint through an inner loop controller to control the actuator of the flash dryer. This achieves the technical effect of improving the uniformity and efficiency of battery material drying by adaptively matching flash drying parameters through real-time solid-liquid ratio feedforward combined with outer loop feedback correction.

[0018] The above description is merely an overview of the technical solution of this application. To better understand the technical means of this application and to facilitate its implementation according to the description, and to make the above and other objects, features, and advantages of this application more apparent, specific embodiments of this application are described below. It should be understood that the content described in this section is not intended to identify key or important features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent through the following description. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the adaptive control method for flash drying of battery materials based on solid-liquid ratio provided in this application.

[0021] Figure 2 A schematic diagram of the adaptive control system for flash drying of battery materials based on solid-liquid ratio provided in this application.

[0022] Figure labeling: Solid-liquid ratio acquisition module 11, reference value generation module 12, output value generation module 13, execution control module 14. Detailed Implementation

[0023] This application provides an adaptive control method and system for flash drying of battery materials based on the solid-liquid ratio. It addresses the technical problem that existing technologies using fixed parameters or single feedback control cannot adapt to real-time fluctuations in the solid-liquid ratio, resulting in lag in drying parameter response and insufficient drying quality. The method achieves the technical effect of adaptive matching of flash drying parameters through real-time solid-liquid ratio feedforward combined with outer-loop feedback correction, thereby improving the uniformity and efficiency of battery material drying.

[0024] The technical solutions of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. It should be understood that the present invention is not limited to the exemplary embodiments described herein. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention. It should also be noted that, for ease of description, only the parts related to the present invention are shown in the accompanying drawings, not all of them.

[0025] Example 1, as Figure 1 As shown, this application provides an adaptive control method for flash drying of battery materials based on solid-liquid ratio. The adaptive control method for flash drying of battery materials based on solid-liquid ratio includes: Obtain the real-time solid-liquid ratio of the battery material slurry.

[0026] Furthermore, obtaining the real-time solid-liquid ratio of the battery material slurry includes: transmitting a microwave signal to the battery material slurry flowing through the detection pipeline, detecting the resonant frequency shift and power attenuation of the microwave signal after passing through the slurry, and generating a microwave detection signal; transmitting an ultrasonic signal to the battery material slurry flowing through the detection pipeline, receiving the ultrasonic signal after penetrating the slurry, extracting the ultrasonic attenuation characteristics and transit time characteristics, and generating an ultrasonic detection signal; acquiring the temperature of the battery material slurry flowing through the detection pipeline and generating a temperature detection signal; correcting the microwave detection signal with the temperature detection signal; determining whether the current detection state meets the reliability conditions based on the ultrasonic detection signal; if it does, outputting the corrected microwave detection signal as a valid signal and converting it into a real-time solid-liquid ratio; if it does not meet the conditions, marking the current solid-liquid ratio data as invalid and switching to a backup output strategy.

[0027] Furthermore, the microwave detection signal is corrected using the temperature detection signal, including: calling a pre-trained temperature-to-dielectric constant drift mapping relationship, determining the dielectric constant temperature drift at the current slurry temperature based on the temperature detection signal; and using the dielectric constant temperature drift to correct the microwave resonant frequency offset.

[0028] Specifically, a detection pipeline is connected in parallel or series on the feed pipe of the flash dryer. This detection pipeline integrates a microwave resonant cavity sensor, an ultrasonic transmission probe assembly, and a platinum resistance temperature sensor. The microwave resonant cavity sensor includes a microwave transmitting antenna and a receiving antenna, connected to a vector network analyzer. The ultrasonic transmission probe assembly includes a pair of face-to-face ultrasonic pulse transmitting and receiving probes, connected to an ultrasonic pulse transmitting / receiving card. When the battery material slurry flows through this detection pipeline at a constant flow rate, a microwave sweep frequency signal source transmits a continuously modulated microwave signal covering a frequency range of 2.0 GHz to 4.0 GHz into the resonant cavity. After penetrating the slurry, the microwaves are captured by the receiving antenna. The vector network analyzer extracts the resonant frequency shift and power attenuation. The resonant frequency shift is caused by the change in the equivalent dielectric constant of the battery material slurry with the solid content, while the power attenuation is caused by the scattering and absorption of microwaves by solid particles. A microwave detection signal is generated based on the resonant frequency shift and power attenuation. Simultaneously, an ultrasonic pulse transmitting probe emits short-pulse ultrasonic signals with a center frequency of 1MHz to 5MHz into the battery material slurry. When these short-pulse ultrasonic signals propagate in the solid-liquid two-phase medium, scattering and absorption attenuation occur due to the acoustic impedance mismatch of the solid particles. Furthermore, changes in solid concentration affect the sound velocity, thus altering the transit time at a fixed propagation distance. The receiving probe converts the penetrated ultrasonic signal into an electrical signal, and a signal acquisition card extracts the ultrasonic attenuation and transit time characteristics. The ultrasonic attenuation characteristic is calculated as a percentage based on the emitted pulse amplitude, and the transit time characteristic is the time difference from the emission moment to the arrival of the first wave. Based on these characteristics, an ultrasonic detection signal is generated. Simultaneously, a platinum resistance temperature sensor collects the temperature of the battery material slurry flowing through the detection pipeline, generating a temperature detection signal.

[0029] After acquiring the temperature detection signal of the battery material slurry, the temperature-dielectric constant drift mapping relationship, pre-established through laboratory calibration, is invoked. The specific method for establishing the temperature-dielectric constant drift mapping relationship is as follows: During the commissioning phase of the flash dryer unit, a standard slurry sample with the same solid-liquid ratio is taken and placed in a constant temperature bath. The microwave resonant frequency is measured every 5°C within a temperature range of 10°C to 80°C, and the resonant frequency drift coefficient k caused by each 1°C temperature change is fitted. T The unit is MHz / ℃. During online detection, the difference between the current temperature detection signal T and the reference temperature T0 is multiplied by the resonant frequency drift coefficient k. T The equivalent frequency shift compensation value Δf corresponding to the temperature drift of the dielectric constant is calculated. T =k T ×(T-T0), where T0 is preferably set to 25℃, and the equivalent frequency offset compensation value is the engineering quantitative expression of the dielectric constant temperature drift after mapping to the frequency domain via the sensitive characteristics of the microwave resonant cavity. Then, the measured microwave resonant frequency offset Δf is...raw Subtract the equivalent frequency offset compensation value Δf T This yields the corrected frequency offset at the reference temperature, ensuring that subsequent solid-liquid ratio conversions are not affected by slurry temperature fluctuations.

[0030] Based on the ultrasonic detection signal, it is compared with the preset standard characteristic range under normal slurry flow conditions to determine whether the current detection state meets the reliability criteria. When the reliability criteria are met, the corrected microwave detection signal is output as a valid signal and substituted into the solid-liquid ratio conversion formula fitted by the least squares method. The solid-liquid ratio conversion formula is: SR=a×(Δf corrected ) 2 +b×(Δf corrected )+c, where a, b, and c are regression coefficients obtained through calibration using multiple sets of standard samples with known solid-liquid ratios, SR is the real-time solid-liquid ratio at the current moment, and Δf corrected This is the corrected microwave detection signal. When the confidence condition is not met, the current solid-liquid ratio data is marked as invalid, and the backup output strategy is switched.

[0031] For example, a microwave sweep frequency signal source transmits 2.45 GHz microwaves, and the receiver measures that the resonant frequency shifts from 2.450 GHz under no-load conditions to 2.435 GHz, i.e., the resonant frequency shift is Δf. raw =15MHz, with a power attenuation of 5.2dB. The platinum resistance probe measured the current slurry temperature T=45℃, and the pre-calibrated temperature drift coefficient k was used. T The frequency is 0.08 MHz / ℃, and the reference temperature T0 = 25℃. The temperature compensation value Δf is calculated. T =0.08×(45-25)=1.6MHz, the corrected frequency offset Δf corrected =15-1.6=13.4MHz, this corrected frequency offset corresponds to the equivalent offset at a reference temperature of 25℃. The ultrasonic transmitting probe emits a 1MHz pulse, and the receiver measures the ultrasonic attenuation η=45% and the transit time Δt=62μs. Comparing the ultrasonic attenuation η and transit time Δt with the standard characteristic range η: 20%~60%, Δt: 50μs~70μs, both are within the range, and the reliability condition is met. The corrected microwave detection signal is then output as a valid signal. Δf corrected Substituting 13.4MHz into the pre-fitted conversion formula SR = 0.02 × 13.4 2 +2.57×13.4+30, the calculated SR≈68.0%, which is basically consistent with the actual solid-liquid ratio of 68:32 of the lithium iron phosphate aqueous slurry currently flowing through the detection pipeline. Thus, the control strategy provides an accurate and reliable solid-liquid ratio input signal.

[0032] By integrating multi-physics field complementary sensing, temperature drift compensation, and state reliability verification, an accurate and reliable solid-liquid ratio input signal is provided for the adaptive control strategy of flash drying of battery materials. This effectively prevents control under abnormal flow conditions such as bubbles, wall adhesion, and non-full pipes, and avoids the feedforward controller from outputting an incorrect reference value due to receiving a false solid-liquid ratio, which could lead to production accidents such as uncontrolled drying temperature or material blockage.

[0033] Furthermore, determining whether the current detection state meets the credibility condition based on the ultrasonic detection signal includes: comparing the ultrasonic attenuation characteristics and transit time characteristics with the preset standard characteristic range under normal slurry flow conditions; when both the ultrasonic attenuation characteristics and transit time characteristics are within the standard characteristic range, it is determined that the credibility condition is met; when the ultrasonic attenuation characteristics and / or transit time characteristics exceed the standard characteristic range, it is determined that the credibility condition is not met.

[0034] Furthermore, the backup output strategy is as follows: when the confidence condition is not met for multiple consecutive detection cycles, the solid-liquid ratio data in the most recent valid confidence cycle is used as the current output value, and a detection anomaly prompt is issued on the operation interface.

[0035] Specifically, the distribution of ultrasonic attenuation and transit time characteristics in the ultrasonic detection signal is compared with the preset standard characteristic range under normal slurry flow conditions. The standard characteristic range is determined by continuously collecting no fewer than 100 sets of ultrasonic attenuation and transit time characteristic data using clean water or standard slurry at normal feed flow rate during the flash dryer commissioning phase. The mean μ and standard deviation σ are calculated for each, and the standard characteristic range is set to [μ-3σ, μ+3σ] to cover 99.7% of the data distribution under normal operating conditions, avoiding misinterpretation of normal fluctuations as abnormalities. For example, the standard characteristic range may include ultrasonic attenuation characteristics between 20% and 60%, and transit time characteristics between 50 μs and 70 μs.

[0036] Only when both the ultrasonic attenuation characteristic and the transit time characteristic are within the standard characteristic range are the slurry flow state in the current detection pipeline determined to be stable, the medium distribution uniform, and the microwave signal propagation path effective, thus meeting the reliability condition. In this case, the temperature-corrected microwave detection signal is output as a valid signal and converted into the real-time solid-liquid ratio. Conversely, if either the ultrasonic attenuation characteristic or the transit time characteristic exceeds its standard characteristic range, it indicates the presence of air bubbles or agglomeration interference in the current slurry. The current detection state is determined not to meet the reliability condition, and the current solid-liquid ratio data is marked as invalid.

[0037] When a detection cycle fails to meet the reliability criteria, the system does not immediately switch to the backup output. Instead, if multiple consecutive detection cycles (e.g., 3 or 5 cycles) fail to meet the reliability criteria, the backup output strategy is activated. The solid-liquid ratio data from the most recent valid reliable cycle is used as the current solid-liquid ratio output value. This ensures the feedforward controller still has a reference input variable during periods of detection anomalies, preventing control failure due to input data interruption. Simultaneously, an anomaly warning is displayed on the user interface, including an anomaly type identifier and a timestamp. Anomaly type identifiers, such as low ultrasonic attenuation characteristic or high transit time characteristic, prompt operators to promptly check the feed pump sealing status, slurry flow rate in the detection pipeline, and whether there is any sediment blockage. When the ultrasonic characteristics recover to the standard characteristic range in subsequent detection cycles, the anomaly flag is automatically cleared, the backup output mode is exited, and the solid-liquid ratio output based on the real-time microwave detection signal is restored without manual intervention, achieving a self-recovery function for the detection status.

[0038] By employing reliability assessment, the system ensures that the temperature-corrected microwave detection signal is only output for solid-liquid ratio calculation under conditions of normal slurry flow and effective microwave propagation path. This prevents false measurement data from entering the feedforward controller due to abnormal conditions such as bubble mixing, sediment adhesion to the pipe walls, or non-full pipe flow. Simultaneously, a backup output strategy ensures the continuous and stable operation of the control system during transient anomalies, preventing malfunctions caused by data loss and improving the reliability and fault tolerance of the entire control scheme.

[0039] The real-time solid-liquid ratio is input to the feedforward controller. The feedforward controller generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and the operating parameters, and sends them to the actuator of the flash dryer.

[0040] Furthermore, the real-time solid-liquid ratio is input to a feedforward controller. The feedforward controller generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and the operating parameters. This includes: dividing the continuous variation range of the solid-liquid ratio into multiple state intervals and pre-configuring a set of optimal operating parameter reference values ​​for each state interval; determining the state interval to which the current real-time solid-liquid ratio belongs; if the current real-time solid-liquid ratio coincides with the center value of the state interval to which it belongs, then directly calling the operating parameter reference value corresponding to the state interval to which it belongs as the feedforward reference value output; if the current real-time solid-liquid ratio falls between the center values ​​of two adjacent state intervals, then proportionally converting the operating parameter reference values ​​corresponding to the two intervals based on the relative position of the current real-time solid-liquid ratio between the center values ​​of the two adjacent intervals to obtain the operating parameter feedforward reference value under the current solid-liquid ratio.

[0041] Furthermore, a set of optimal operating parameter benchmark values ​​is pre-configured for each state interval, including: for each target battery material, during the equipment commissioning phase, an orthogonal experiment of all process parameters is conducted with standard solid-liquid ratio materials, with final moisture content qualification and minimum energy consumption as the dual optimization objectives, to determine the optimal combination of air inlet temperature, optimal feed rate, optimal induced draft fan frequency and optimal stirring speed under each state interval, which serves as the optimal operating parameter benchmark value for each state interval and is stored in the parameter mapping table of the feedforward controller; when switching between different types of battery materials, the pre-stored parameter mapping table is called for switching.

[0042] Specifically, the continuous variation range of the solid-liquid ratio is divided into intervals. Taking lithium iron phosphate aqueous slurry as an example, its actual production solid-liquid ratio fluctuation range is usually between 60:40 and 75:25, that is, the solid content mass percentage is 60%~75%. This continuous variation range is divided into multiple state intervals at equal intervals. For example, the interval interval is taken as 2.5 percentage points, and the solid-liquid ratio of 60%~75% is divided into six state intervals: [60%, 62.5%), [62.5%, 65%), [65%, 67.5%), [67.5%, 70%), [70%, 72.5%), [72.5%, 75%], with the center values ​​of each interval being 61.25%, 63.75%, 66.25%, 68.75%, 71.25%, and 73.75%, respectively. For each state interval, during the equipment commissioning phase, an orthogonal experiment of all process parameters is conducted using the standard solid-liquid ratio material corresponding to its center value as the test object.

[0043] The four independent variables in the orthogonal experiment were: inlet air temperature, feed rate, induced draft fan frequency, and stirring speed. The inlet air temperature could be adjusted within the range of 120℃ to 300℃ in 10℃ increments; the feed rate could be adjusted within the range of 50 to 500 kg / h in 10 kg / h increments; the induced draft fan frequency could be adjusted within the range of 20 to 50 Hz in 1 Hz increments; and the stirring speed could be adjusted within the range of 100 to 1000 rpm in 20 rpm increments. The experiment was based on a four-factor, three-level L9 orthogonal array, with at least nine sets of experiments conducted for each state interval. For each set of experiments, the final moisture content of the discharged material was measured using the Karl Fischer method (ppm), and real-time energy consumption was recorded. Real-time energy consumption included the sum of heating power consumption, fan power consumption, and stirring motor power consumption (kW / h). After the experiment, with the final moisture content meeting the requirement (e.g., lithium iron phosphate requires a final moisture content ≤ 800 ppm) as a constraint, the set of operating parameters with the lowest total energy consumption among all experimental points meeting the final moisture requirement is selected as the optimal operating parameter baseline values ​​for that state interval. These parameters specifically include the optimal inlet air temperature, optimal feed rate, optimal induced draft fan frequency, and optimal stirring speed. Each state interval and its corresponding four-dimensional optimal operating parameter baseline values ​​are stored in tabular form in the non-volatile memory of the feedforward controller, forming a parameter mapping table specific to that battery material. When the production task switches to different types of battery materials, the operator selects the corresponding material type through the human-machine interface and calls the pre-stored corresponding parameter mapping table to achieve one-click parameter switching.

[0044] The real-time solid-liquid ratio is compared with the boundary values ​​of multiple state intervals one by one to determine the state interval to which the current real-time solid-liquid ratio belongs. If the real-time solid-liquid ratio coincides with the center value of the state interval to which it belongs, the optimal operating parameter reference value of the state interval corresponding to that center value is directly called as the feedforward reference value output. If the current real-time solid-liquid ratio falls between the center values ​​of two adjacent state intervals, for example, SR=67.0%, which is located between the center value of interval 3 (66.25%) and the center value of interval 4 (68.75%), then based on the relative position of the current real-time solid-liquid ratio SR between the two adjacent center values, a linear interpolation proportional calculation method is used to proportionally calculate the operating parameter reference values ​​corresponding to the two intervals to obtain the operating parameter feedforward reference values ​​under the current solid-liquid ratio, including the feedforward reference values ​​of inlet air temperature, feedforward reference value, induced draft fan frequency, and stirring speed. The specific calculation formula is: Let SR be located at the center value C of the i-th state interval. i The center value C of the (i+1)th state interval i+1 Between them, the relative position coefficient α is defined as α = (SR - C i ) / (C i+1 -C i ), where α ranges from 0 to 1, and the feedforward reference value for the inlet air temperature under the current solid-liquid ratio is: T feedforward =(1-α)×Tseti +α×Tset i+1 , among which, Tset i Tset represents the optimal inlet air temperature reference value corresponding to the center value of the i-th state interval. i+1 This represents the optimal inlet air temperature reference value corresponding to the center value of the (i+1)th state interval. Similarly, the feed rate feedforward reference value, induced draft fan frequency feedforward reference value, and agitator speed feedforward reference value are obtained. Through proportional conversion, a continuous and smooth transition of operating parameters can be achieved between discrete interval center points, avoiding step jumps in actuator setpoints caused by small fluctuations in the solid-liquid ratio. The obtained feedforward reference values ​​are sent to the actuators of the flash dryer, including the heater regulating valve, feed pump frequency converter, induced draft fan frequency converter, and agitator motor frequency converter, via an industrial fieldbus such as EtherCAT.

[0045] For example, the current real-time solid-liquid ratio SR = 68.0% falls within the range of interval 4 [67.5%, 70%), with a center value of C4 = 68.75%. Since the real-time solid-liquid ratio is not equal to its center value, and 68.0% falls between the center values ​​of interval 3 (C3 = 66.25%) and interval 4 (C4 = 68.75%), it falls between the center values ​​of two adjacent state intervals. Therefore, a linear interpolation proportional conversion method is used to determine the feedforward reference values ​​of the operating parameters under the current solid-liquid ratio. By referring to the table, the inlet air temperature for state interval 3 is determined to be 180℃, the feed rate to be 200kg / h, the induced draft fan frequency to be 35Hz, and the stirring speed to be 600rpm. The inlet air temperature for state interval 4 is determined to be 195℃, the feed rate to be 170kg / h, the induced draft fan frequency to be 37Hz, and the stirring speed to be 650rpm.

[0046] The relative position coefficient α represents the relative position of the current solid-liquid ratio between two adjacent center values. The calculation formula is α=(68.0%-66.25%) / (68.75%-66.25%)=0.7. According to the linear interpolation formula, the feedforward reference value of the inlet air temperature is calculated as (1-0.7)×180+0.7×195=190.5℃. Similarly, the feedforward reference value of the feed rate is calculated as (1-0.7)×200+0.7×170=179kg / h, the feedforward reference value of the induced draft fan frequency is calculated as (1-0.7)×35+0.7×37=36.4Hz, and the feedforward reference value of the stirring speed is calculated as (1-0.7)×600+0.7×650=635rpm.

[0047] By solidifying orthogonal experimental data into a parameter mapping table, the feedforward controller immediately outputs the baseline value of the operating parameters when it detects a change in the solid-liquid ratio, thus improving the control system's response speed to fluctuations in incoming materials. Simultaneously, through interval division and center value interpolation strategies, continuous parameter coverage across the entire solid-liquid ratio range is achieved, enabling adaptive matching for continuously changing solid-liquid ratio conditions. This eliminates the blind spot where reasonable control parameters cannot be obtained due to the solid-liquid ratio falling outside the experimental point, and improves the feedforward controller's response coverage to arbitrary fluctuations in the solid-liquid ratio during actual production.

[0048] The outer loop controller performs feedback correction on the feedforward reference value. The outer loop controller uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction amount and / or the feed rate correction amount, and fine-tunes the feedforward reference value according to the correction amount to generate the outer loop output value.

[0049] Furthermore, the outer loop controller performs feedback correction on the feedforward reference value. The outer loop controller uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction and / or feed rate correction, and fine-tunes the feedforward reference value according to the correction amounts to generate the outer loop output value. This includes: collecting the real-time outlet air temperature at the outlet duct of the drying host, or collecting the ultrasonic echo characteristic parameters at the outlet of the drying host as feedback signals; calculating the deviation between the feedback signal and the target setpoint; inputting the deviation into the outer loop controller, which calls the corresponding control parameters according to the current solid-liquid ratio state range to calculate the inlet air temperature correction and feed rate correction; and superimposing the inlet air temperature correction and feed rate correction onto the feedforward reference values ​​of the inlet air temperature setpoint and feedforward reference value of the ...

[0050] Furthermore, the real-time outlet air temperature at the outlet duct of the dryer is collected, or the ultrasonic echo characteristic parameters at the outlet of the dryer are collected as feedback signals, including: when the dryer is in a steady-state operation phase, the outlet air temperature is used as the feedback signal; when the dryer is in a start-stop transition phase or the outlet air temperature signal fluctuation exceeds a preset threshold, the feedback signal is switched to ultrasonic echo characteristic parameters; the ultrasonic echo characteristic parameters include at least one of echo amplitude attenuation value and transit time offset value.

[0051] Specifically, the real-time outlet air temperature at the dryer's outlet duct is collected by a temperature sensor installed thereon. Simultaneously, ultrasonic echo characteristic parameters at the dryer's outlet are collected by an ultrasonic echo detection probe group installed at the dryer's outlet. These ultrasonic echo characteristic parameters include at least one of echo amplitude attenuation and transit time offset. When the dryer has been running continuously for more than a preset transition time threshold (e.g., more than 60 seconds from the start command) and the fluctuation of the outlet air temperature signal within the last 10 sampling periods does not exceed a preset threshold (e.g., ±2℃), the dryer is determined to be in a steady-state operation phase, and the outlet air temperature is used as the feedback signal. When the dryer is in the transition phase after startup but has not yet reached thermal equilibrium (i.e., running time less than 60 seconds), or in the deceleration phase before shutdown, the system automatically switches to using the ultrasonic echo characteristic parameters at the dryer's outlet as the feedback signal. When the dryer is in steady-state operation, and the fluctuation of the outlet air temperature signal within the last 10 sampling periods exceeds a preset threshold, the system also automatically switches to using the ultrasonic echo characteristic parameters as the feedback signal to avoid erroneous corrections from the outer loop controller due to temporary temperature signal distortion.

[0052] The feedback signal is compared with its corresponding target setpoint to calculate the deviation. The target setpoint is the ideal outlet air temperature required by the process or the standard ultrasonic echo characteristic value corresponding to the dried qualified material. The calculated deviation e(t) is input into the outer loop controller. The outer loop controller uses a digital PID control algorithm and calls the corresponding control parameters according to the current solid-liquid ratio state interval. During the equipment commissioning phase, a set of optimal outer loop PID parameters is tuned for each solid-liquid ratio state interval and stored in the parameter mapping table. When the current real-time solid-liquid ratio SR = 68.0%, the system is positioned in state interval 4 and the corresponding PID parameter combination {K} is called. p,i ,K i,i ,K d,i The system calculates the correction amounts for inlet air temperature and feed rate. The correction amounts output by the outer loop controller have positive and negative signs; positive values ​​indicate an increase based on the reference value, while negative values ​​indicate a decrease.

[0053] The calculated inlet air temperature correction is superimposed on the inlet air temperature feedforward reference value output by the feedforward controller to generate the inlet air temperature correction value output by the outer loop. At the same time, the feed rate correction is superimposed on the feed rate setpoint feedforward reference value to generate the feed rate correction value output by the outer loop. The inlet air temperature correction value and the feed rate correction value are used as the outer loop output value.

[0054] By constructing a closed-loop feedback system using outlet air temperature or ultrasonic echo characteristics, the feedforward reference value is precisely corrected to compensate for drying effect deviations caused by fluctuations in material thermophysical properties and environmental changes, ensuring that the final moisture content of the discharged material remains strictly within the process target range. Simultaneously, by adaptively switching the feedback signal according to different operating conditions, the control effectiveness during start-up and shutdown transitions and under steady-state conditions is ensured, further improving the control accuracy and reliability of flash drying control for battery materials and enhancing drying quality.

[0055] The inner loop controller receives the outer loop output value as a set value to control the actuator of the flash dryer.

[0056] Specifically, after the outer loop controller completes feedback correction and generates the outer loop output value, it sends the outer loop output value as the setpoint to the inner loop controller. The inner loop controller is a PID control module integrated inside each actuator driver, or a high-speed digital PID algorithm task centrally deployed in an industrial PLC or industrial computer, to achieve fast and accurate following control of the flash dryer actuators.

[0057] Specifically, the air inlet temperature correction value output by the outer loop controller is used as the inner loop setpoint. The inner loop controller adjusts the heater power or hot air valve opening to ensure that the measured air inlet temperature at the hot air heater outlet quickly tracks this setpoint. The feed rate correction value output by the outer loop controller is used as the inner loop setpoint. The inner loop controller adjusts the output frequency of the feed pump inverter to ensure that the measured instantaneous flow rate at the feed pump outlet quickly tracks this setpoint. The induced draft fan frequency feedforward reference value output by the outer loop controller is used as the inner loop setpoint. The inner loop controller adjusts the output frequency of the induced draft fan inverter to ensure that the actual operating frequency of the induced draft fan quickly tracks this setpoint. Simultaneously, the stirring speed feedforward reference value output by the outer loop controller is used as the inner loop setpoint. The inner loop controller adjusts the output frequency of the stirring motor inverter to ensure that the measured stirring shaft speed quickly tracks this setpoint. This achieves reliable execution of the outer loop decision at the physical level, improves the dynamic response speed and control command execution accuracy of the adaptive control of battery material flash drying, and thus enhances the drying uniformity and efficiency of battery materials.

[0058] Example 2 is based on the same inventive concept as the adaptive control method for flash drying of battery materials based on solid-liquid ratio in the previous examples, such as... Figure 2 As shown, this application provides an adaptive control system for flash drying of battery materials based on solid-liquid ratio, wherein the adaptive control system for flash drying of battery materials based on solid-liquid ratio includes: The solid-liquid ratio acquisition module 11 is used to acquire the real-time solid-liquid ratio of the battery material slurry; the reference value generation module 12 is used to input the real-time solid-liquid ratio into the feedforward controller, which generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and the operating parameters, and sends them to the actuator of the flash dryer; the output value generation module 13 is used to perform feedback correction on the feedforward reference value by the outer loop controller, which uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction amount and / or feed rate correction amount, and fine-tunes the feedforward reference value according to the correction amount to generate the outer loop output value; the execution control module 14 is used to receive the outer loop output value as the setpoint through the inner loop controller and control the actuator of the flash dryer.

[0059] Furthermore, the solid-liquid ratio acquisition module 11 is also used for: transmitting microwave signals to the battery material slurry flowing through the detection pipeline, detecting the resonant frequency shift and power attenuation of the microwave signals after passing through the slurry, and generating a microwave detection signal; transmitting ultrasonic signals to the battery material slurry flowing through the detection pipeline, receiving the ultrasonic signals after penetrating the slurry, extracting ultrasonic attenuation characteristics and transit time characteristics, and generating an ultrasonic detection signal; acquiring the temperature of the battery material slurry flowing through the detection pipeline and generating a temperature detection signal; correcting the microwave detection signal with the temperature detection signal; determining whether the current detection state meets the reliability conditions based on the ultrasonic detection signal; if it does, outputting the corrected microwave detection signal as a valid signal and converting it into a real-time solid-liquid ratio; if it does not meet the conditions, marking the current solid-liquid ratio data as invalid and switching to a backup output strategy.

[0060] Furthermore, the solid-liquid ratio acquisition module 11 is also used to: call the pre-trained temperature and dielectric constant drift mapping relationship, determine the dielectric constant temperature drift at the current slurry temperature based on the temperature detection signal, and use the dielectric constant temperature drift to perform reduction correction on the microwave resonant frequency offset.

[0061] Furthermore, the solid-liquid ratio acquisition module 11 is also used to: compare the ultrasonic attenuation characteristics and transit time characteristics with the preset standard characteristic range under normal slurry flow conditions; when both the ultrasonic attenuation characteristics and transit time characteristics are within the standard characteristic range, it is determined that the credibility condition is met; when the ultrasonic attenuation characteristics and / or transit time characteristics exceed the standard characteristic range, it is determined that the credibility condition is not met.

[0062] Furthermore, the solid-liquid ratio acquisition module 11 is also used to: the backup output strategy is: when multiple consecutive detection cycles do not meet the confidence condition, the solid-liquid ratio data in the most recent valid confidence cycle is used as the current output value, and a detection anomaly prompt is issued on the operation interface.

[0063] Furthermore, the reference value generation module 12 is also used to: divide the continuous variation range of the solid-liquid ratio into multiple state intervals, and pre-configure a set of optimal operating parameter reference values ​​for each state interval; determine the state interval to which the current real-time solid-liquid ratio belongs; if the current real-time solid-liquid ratio coincides with the center value of the state interval to which it belongs, then directly call the operating parameter reference value corresponding to the state interval to which it belongs as the feedforward reference value output; if the current real-time solid-liquid ratio falls between the center values ​​of two adjacent state intervals, then according to the relative position of the current real-time solid-liquid ratio between the center values ​​of the two adjacent intervals, proportionally convert the operating parameter reference values ​​corresponding to the two intervals to obtain the operating parameter feedforward reference value under the current solid-liquid ratio.

[0064] Furthermore, the reference value generation module 12 is also used to: for each target battery material, conduct orthogonal experiments on all process parameters with standard solid-liquid ratio materials during the equipment debugging phase, and determine the optimal combination of air inlet temperature, optimal feed rate, optimal induced draft fan frequency and optimal stirring speed in each state interval with the dual optimization objectives of final moisture qualification and minimum energy consumption, as the optimal operating parameter reference value for each state interval, and store it in the parameter mapping table of the feedforward controller; when switching different types of battery materials, call the pre-stored parameter mapping table to switch.

[0065] Furthermore, the output value generation module 13 is also used to: collect the real-time air outlet temperature at the air outlet duct of the drying host, or collect the ultrasonic echo characteristic parameters at the outlet of the drying host, as a feedback signal; calculate the deviation between the feedback signal and the target set value; input the deviation into the outer loop controller, which calls the corresponding control parameters according to the current solid-liquid ratio state range, and calculates the inlet air temperature correction and the feed rate correction; and superimpose the inlet air temperature correction and the feed rate correction onto the feed forward reference value of the inlet air temperature set value and the feed forward reference value of the feed rate set value, respectively, to generate the inlet air temperature correction value and the feed rate correction value output by the outer loop, as the outer loop output value.

[0066] Furthermore, the output value generation module 13 is also used to: use the outlet air temperature as the feedback signal when the dryer is in a steady-state operation phase; and switch to using ultrasonic echo characteristic parameters as the feedback signal when the dryer is in a start-stop transition phase or when the fluctuation amplitude of the outlet air temperature signal exceeds a preset threshold; the ultrasonic echo characteristic parameters include at least one of echo amplitude attenuation value and transit time offset value.

[0067] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The adaptive control method and specific examples of flash drying of battery materials based on solid-liquid ratio in the foregoing embodiment 1 are also applicable to the adaptive control system of flash drying of battery materials based on solid-liquid ratio in this embodiment. Through the foregoing detailed description of the adaptive control method of flash drying of battery materials based on solid-liquid ratio, those skilled in the art can clearly understand the adaptive control system of flash drying of battery materials based on solid-liquid ratio in this embodiment. Therefore, for the sake of brevity, it will not be described in detail here.

[0068] The above description of the disclosed embodiments enables those skilled in the art to make or use this application. Various modifications to these embodiments will be readily 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 this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0069] Obviously, those skilled in the art can make several improvements and modifications to this application without departing from the principles of this application, and these improvements and modifications also fall within the protection scope of this application.

Claims

1. An adaptive control method for flash drying of battery materials based on solid-liquid ratio, characterized in that, include: Obtain the real-time solid-liquid ratio of the battery material slurry; The real-time solid-liquid ratio is input into the feedforward controller. The feedforward controller generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint based on the mapping relationship between the solid-liquid ratio and the operating parameters, and sends them to the actuator of the flash dryer. The outer loop controller performs feedback correction on the feedforward reference value. The outer loop controller uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction amount and / or the feed rate correction amount, and fine-tunes the feedforward reference value according to the correction amount to generate the outer loop output value. The inner loop controller receives the outer loop output value as a set value to control the actuator of the flash dryer.

2. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 1, characterized in that, Obtaining the real-time solid-liquid ratio of the battery material slurry includes: A microwave signal is emitted into the battery material slurry flowing through the detection pipeline. The resonant frequency shift and power attenuation of the microwave signal after passing through the slurry are detected to generate a microwave detection signal. An ultrasonic signal is emitted into the battery material slurry flowing through the detection pipeline, and the ultrasonic signal after penetrating the slurry is received. The ultrasonic attenuation characteristics and transit time characteristics are extracted to generate an ultrasonic detection signal. The temperature of the battery material slurry flowing through the detection pipeline is collected, and a temperature detection signal is generated; The microwave detection signal is corrected using the temperature detection signal; Based on the ultrasonic detection signal, determine whether the current detection state meets the reliability condition. If it does, output the corrected microwave detection signal as an effective signal and convert it into a real-time solid-liquid ratio. If the conditions are not met, mark the current solid-liquid ratio data as invalid and switch to the backup output strategy.

3. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 2, characterized in that, Correcting the microwave detection signal using the temperature detection signal includes: The pre-trained temperature-dielectric constant drift mapping relationship is invoked, and the dielectric constant temperature drift at the current slurry temperature is determined based on the temperature detection signal. The temperature drift of the dielectric constant is used to correct the microwave resonant frequency shift.

4. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 2, characterized in that, Determining whether the current detection state meets the reliability criteria based on the ultrasonic detection signal includes: The ultrasonic attenuation characteristics and transit time characteristics were compared with the preset standard characteristic range under normal slurry flow conditions. When both the ultrasonic attenuation characteristic and the transit time characteristic are within the standard characteristic range, the credibility condition is met. When the ultrasonic attenuation characteristics and / or transit time characteristics exceed the standard characteristic range, the reliability condition is not met.

5. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 2, characterized in that, The backup output strategy is as follows: when the confidence condition is not met for multiple consecutive detection cycles, the solid-liquid ratio data in the most recent valid confidence cycle is used as the current output value, and a detection anomaly prompt is issued on the operation interface.

6. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 1, characterized in that, The real-time solid-liquid ratio is input to a feedforward controller. Based on the mapping relationship between the solid-liquid ratio and operating parameters, the feedforward controller generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and agitator speed setpoint, including: The continuous variation range of the solid-liquid ratio is divided into multiple state intervals, and a set of optimal operating parameter benchmark values ​​are pre-configured for each state interval. Determine the current real-time solid-liquid ratio to which the state interval belongs. If the current real-time solid-liquid ratio coincides with the center value of the state interval, directly call the corresponding operation parameter benchmark value of the state interval as the feedforward benchmark value output. If the current real-time solid-liquid ratio falls between the center values ​​of two adjacent state intervals, then based on the relative position of the current real-time solid-liquid ratio between the center values ​​of the two adjacent intervals, the corresponding operating parameter reference values ​​of the two intervals are proportionally converted to obtain the operating parameter feedforward reference value under the current solid-liquid ratio.

7. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 6, characterized in that, A set of optimal operating parameter baseline values ​​is pre-configured for each state interval, including: For each target battery material, during the equipment commissioning phase, orthogonal experiments of all process parameters are conducted using standard solid-liquid ratio materials. With the dual optimization objectives of final moisture content qualification and minimum energy consumption, the optimal combination of air inlet temperature, optimal feed rate, optimal induced draft fan frequency and optimal stirring speed under each state interval is determined as the optimal operating parameter benchmark value for each state interval and stored in the parameter mapping table of the feedforward controller. When switching between different types of battery materials, a pre-stored parameter mapping table is invoked for the switching.

8. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 1, characterized in that, The outer loop controller performs feedback correction on the feedforward reference value. The outer loop controller uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction and / or feed rate correction, and fine-tunes the feedforward reference value based on the correction amounts to generate the outer loop output value, including: Collect the real-time air outlet temperature at the air outlet duct of the dryer, or collect the ultrasonic echo characteristic parameters at the outlet of the dryer as a feedback signal; Calculate the deviation between the feedback signal and the target setpoint; The deviation is input into the outer loop controller, which calls the corresponding control parameters according to the current solid-liquid ratio state range to calculate the inlet air temperature correction and the feed rate correction. The inlet air temperature correction and feed rate correction are respectively superimposed on the inlet air temperature setpoint feedforward reference value and the feed rate setpoint feedforward reference value to generate the inlet air temperature correction value and feed rate correction value of the outer loop output, which are used as the outer loop output value.

9. The adaptive control method for flash drying of battery materials based on solid-liquid ratio as described in claim 8, characterized in that, The real-time outlet air temperature at the outlet duct of the dryer is collected, or the ultrasonic echo characteristic parameters at the outlet of the dryer are collected as feedback signals, including: When the dryer is in steady-state operation, the outlet air temperature is used as the feedback signal. When the dryer is in the start-stop transition phase or the fluctuation of the outlet air temperature signal exceeds the preset threshold, it switches to using ultrasonic echo characteristic parameters as the feedback signal. The ultrasonic echo characteristic parameters include at least one of the echo amplitude attenuation value and the transit time offset value.

10. An adaptive control system for flash drying of battery materials based on solid-liquid ratio, characterized in that, The step of implementing the adaptive control method for flash drying of battery materials based on solid-liquid ratio according to any one of claims 1 to 9, wherein the adaptive control system for flash drying of battery materials based on solid-liquid ratio comprises: The solid-liquid ratio acquisition module is used to acquire the real-time solid-liquid ratio of the battery material slurry; The reference value generation module is used to input the real-time solid-liquid ratio into the feedforward controller. The feedforward controller generates feedforward reference values ​​for the inlet air temperature setpoint, feed rate setpoint, induced draft fan frequency setpoint, and stirring speed setpoint according to the mapping relationship between the solid-liquid ratio and the operating parameters, and sends them to the actuator of the flash dryer. The output value generation module is used to perform feedback correction on the feedforward reference value by the outer loop controller. The outer loop controller uses the outlet air temperature or drying process characteristic parameters as feedback signals to calculate the inlet air temperature correction amount and / or the feed rate correction amount, and fine-tunes the feedforward reference value according to the correction amount to generate the outer loop output value. The execution control module is used to receive the outer loop output value as a set value through the inner loop controller and control the actuator of the flash dryer.

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