Dynamic adjustment method and system of air conditioner compressor adapted to working medium in wide temperature range

Abstract

The application relates to the technical field of air conditioner compressors, in particular to an air conditioner compressor dynamic adjustment method and system suitable for wide-temperature-range working medium. The method comprises the following steps: acquiring an air conditioner compressor information set of a multi-temperature-zone vehicle compartment; based on the information set, analyzing gas phase evacuation risks caused by the air conditioner compressor in the refrigeration zone and liquid phase surge risks caused by the air conditioner compressor in the freezing zone under the wide-temperature-range working medium, and obtaining a phase state risk information set; based on the information set, analyzing the coupling effect of the local flow state mutation in each temperature zone caused by vehicle movement on the pressure and flow oscillation of the whole system through the shared circuit amplification, and obtaining a flow state instability information set; based on the information set, analyzing the conflict information between the anti-gas-phase-evacuation control instruction and the anti-liquid-phase-surge control instruction caused by the coupling effect, and obtaining a multi-target control conflict information set; based on the information set, generating a dynamic regulation strategy, and outputting an air conditioner compressor dynamic adjustment log. The air conditioner pressure and flow oscillation are reduced, the safe and stable operation of the air conditioner compressor is guaranteed, and the service life of the equipment is prolonged.

Description

Technical Field

[0001] This application relates to the field of air conditioning compressor technology, and in particular to a dynamic adjustment method and system for air conditioning compressors adapted to a wide temperature range of refrigerants. Background Technology

[0002] Currently, air conditioning systems in multi-temperature zone vehicles (such as refrigerated logistics vehicles) typically employ a single compressor or multiple compressors connected in parallel, combined with mechanical or electronic expansion valves to regulate refrigerant flow and meet the cooling needs of different temperature zones. In existing control strategies, compressor speed or displacement regulation is mostly based on a single refrigerant property or a fixed temperature-pressure curve. Its regulation logic often relies on PID control based on feedback from temperature sensors inside the vehicle, lacking adaptability to the dynamic changes in refrigerant properties under actual wide temperature range conditions.

[0003] Existing compressor regulation methods based on single temperature feedback have inherent defects when using wide-temperature-range working fluids in multi-temperature-zone carriages. Due to the significant differences in the phase state and pressure of the working fluid in different temperature zones (e.g., the low-temperature zone is prone to gas phase evacuation, and the freshness zone is prone to liquid phase influx), existing methods cannot distinguish the essential differences in such flow turbulence. This leads to fundamental conflicts in the multi-temperature-zone coupling loop when regulation commands for a single temperature zone are applied. More seriously, any sudden change in the local flow state in any temperature zone caused by vehicle movement will be rapidly amplified into system-wide oscillation through the shared loop, forming a vicious cycle of "single-point disturbance, global instability." This results in a control dilemma where evacuation prevention and liquid slugging prevention cannot be simultaneously addressed, ultimately causing severe deviations in temperature control accuracy and a sharp decline in compressor reliability. Summary of the Invention

[0004] This application provides a method and system for dynamic adjustment of air conditioning compressors that are compatible with working fluids over a wide temperature range, in order to solve the above-mentioned problems.

[0005] In a first aspect, this application provides a method for dynamic adjustment of an air conditioning compressor adapted to a wide-temperature-range working fluid. The method includes: acquiring an information set of air conditioning compressors in a multi-temperature-zone vehicle compartment; based on the information set, analyzing the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under a wide-temperature-range working fluid, to obtain a phase state risk information set; based on the phase state risk information set, analyzing the coupling effect of local flow state changes in each temperature zone caused by vehicle movement amplified by a shared loop on the pressure and flow oscillations of the entire system, to obtain a flow state instability information set; based on the flow state instability information set, analyzing the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase slugging control command caused by the coupling effect, to obtain a multi-objective control conflict information set; and based on the multi-objective control conflict information set, generating a dynamic control strategy and outputting a dynamic adjustment log of the air conditioning compressor.

[0006] The above technical solutions precisely address the phase state risks, flow instability, and control conflicts of wide-temperature-range working fluids in multi-temperature-zone air conditioning. Dynamic control strategies effectively mitigate the risks of gas phase evacuation and liquid phase intrusion, reducing system pressure and flow oscillations, ensuring the safe and stable operation of the air conditioning compressor and system, and extending equipment lifespan. Simultaneously, the strategies allow for flexible adjustment of operating parameters to maintain efficient cooling, improve working fluid energy utilization efficiency, meet personalized temperature control needs across multiple temperature zones, and facilitate the large-scale application of wide-temperature-range working fluids, combining technological advantages with practical value.

[0007] Optionally, the construction process of the phase risk information set includes: the air conditioning compressor information set includes compressor suction pressure, compressor discharge temperature, and refrigerant circulation flow rate; based on the compressor suction pressure, the pressure change of the compressor suction pressure during operation in the refrigeration zone is analyzed, and when the irreversible pressure drop trend is identified and there is no periodic recovery characteristic, gas phase evacuation risk information is obtained; based on the compressor discharge temperature and combined with the refrigerant circulation flow rate, the coordinated change of the compressor discharge temperature and the refrigerant circulation flow rate during operation in the freezing zone is analyzed, and when the decrease in the compressor discharge temperature is identified as dominating the fluctuation pattern of the refrigerant circulation flow rate, liquid phase inrush risk information is obtained; the gas phase evacuation risk information and the liquid phase inrush risk information are integrated to construct the phase risk information set.

[0008] Optionally, the analysis of the pressure change of the compressor suction pressure during operation in the refrigeration zone includes: based on the compressor suction pressure and according to a preset refrigeration zone set temperature, analyzing the real-time deviation of the compressor suction pressure relative to the saturation pressure corresponding to the refrigeration zone set temperature; when the real-time deviation is identified as continuously increasing without convergence, suction pressure anomaly information is obtained; based on the suction pressure anomaly information, analyzing the change in pressure drop rate with compressor operating time; when the pressure drop rate is identified as exhibiting a stepwise acceleration characteristic within a unit time, irreversible pressure loss information is obtained; based on the irreversible pressure loss information, analyzing the evolution of the minimum pressure value within adjacent fluctuation cycles; when the minimum pressure value in each cycle decreases successively without periodically recovering to the reference level, the pressure change is obtained.

[0009] Optionally, the analysis of the coordinated changes in the compressor discharge temperature and the refrigerant circulation flow rate during operation in the refrigeration zone includes: based on the compressor discharge temperature, analyzing the change characteristics under the preset refrigeration zone set temperature according to a preset refrigeration zone set temperature; when it is identified that the compressor discharge temperature exhibits an uncontrolled, continuous decrease and the rate of decrease exceeds a preset threshold, an abnormal discharge temperature information is obtained; based on the abnormal discharge temperature information, combined with the refrigerant circulation flow rate, analyzing the temporal following relationship between flow rate fluctuations and temperature decreases; when it is identified that the peak and trough times of flow rate fluctuations exhibit a locked-following characteristic with the inflection point of the phased decrease in compressor discharge temperature, flow rate temperature-clamped information is obtained; based on the flow rate temperature-clamped information, analyzing the attenuation pattern of flow rate fluctuations during the continuous cooling phase; when it is identified that the amplitude of flow rate fluctuations exhibits a suppressed contraction trend as the temperature decreases and loses its autonomous regulation activity, the coordinated change is obtained.

[0010] Optionally, the process of constructing the flow instability information set includes: based on the gas phase evacuation risk information and combined with the liquid phase inrush risk information, analyzing the synchronous suddenness and alternating dominance characteristics in the time dimension; when the two types of risk information are identified to appear in an uncontrolled and dense alternation, dynamic interference information characterizing the disturbance caused by vehicle movement is obtained; based on the dynamic interference information, analyzing the inverse correlation between the risk information abrupt change in different temperature zones and the risk state of adjacent temperature zones; when it is identified that the gas phase evacuation risk in the refrigeration zone intensifies simultaneously with the liquid phase inrush risk in the freezing zone weakens, and the inverse correlation triggers a violent unidirectional fluctuation in the shared loop, a unidirectional amplification information of the shared loop is obtained; based on the unidirectional amplification information of the shared loop, analyzing the self-sustaining and diffusion process of the violent unidirectional fluctuation in the system; when it is identified that the amplitude of pressure and flow oscillations no longer decays and the oscillation range expands from the local temperature zone to all temperature zone loops, the flow instability information set characterizing the entire system entering a continuous instability state is obtained.

[0011] Optionally, the analysis of the inverse correlation between the risk information abrupt changes in different temperature zones and the risk status of adjacent temperature zones includes: based on the dynamic interference information, analyzing the reverse change process of the liquid phase inrush risk information in the freezing zone when the gas phase evacuation risk information in the refrigeration zone intensifies, to obtain refrigeration-to-freezing reverse inhibition information; based on the reverse inhibition information, analyzing the reverse change process of the gas phase evacuation risk information in the refrigeration zone when the liquid phase inrush risk information in the freezing zone intensifies, to obtain freezing-to-refrigeration reverse inhibition information; integrating the refrigeration-to-freezing reverse inhibition information and the freezing-to-refrigeration reverse inhibition information to construct the inverse correlation.

[0012] Optionally, the analysis of the self-sustaining and diffusion process of the unidirectional violent fluctuations within the system includes: based on the unidirectional amplification information of the shared loop, analyzing the impact information of the unidirectional violent fluctuations after being triggered within the shared loop, which amplifies the next unidirectional fluctuation, to obtain oscillation positive feedback information; based on the oscillation positive feedback information, combined with the inverse correlation, analyzing the process information of the continuous enhanced oscillations within the shared loop forcing the independent loop operating base points of the refrigerated zone and the frozen zone to drift through pressure transmission and capacity competition, to obtain global forced synchronization information characterizing the self-sustaining process; based on the global forced synchronization information, analyzing the process information of the effects of independent temperature zone adjustment commands being periodically covered and reset under the global synchronous oscillation state, to obtain steady-state recovery failure information including the diffusion process; wherein, the steady-state recovery failure information is used to construct the flow instability information set.

[0013] Optionally, the process of constructing the multi-objective control conflict information set includes: based on the global forced synchronization information, analyzing the real-time opposition between the control action required by the anti-vacuum control command in the refrigeration zone and the control action required by the anti-liquid phase slugging control command in the freezing zone under the global synchronous oscillation state, to obtain command mutual exclusion information; based on the command mutual exclusion information, combined with the oscillation positive feedback information, analyzing the process of mutually exclusive control actions being cyclically superimposed and amplified in the oscillation cycle of the shared loop, to obtain mutual exclusion cycle information; based on the mutual exclusion cycle information, combined with the steady-state recovery failure information, analyzing the process of mutually exclusive and continuously deteriorating control actions causing the independent adjustment targets of the refrigeration zone and the freezing zone to be unattainable, and preventing the air conditioning compressor from escaping the continuous unstable state, to obtain conflict deadlock information; and integrating the command mutual exclusion information, the mutual exclusion cycle information, and the conflict deadlock information to construct the multi-objective control conflict information set.

[0014] Optionally, the step of generating a dynamic control strategy based on the multi-objective control conflict information set and outputting a dynamic adjustment log for the air conditioning compressor includes: analyzing the specific location and intensity of the strongest antagonistic effect on the shared loop based on the conflict deadlock information and the instruction mutual exclusion information to obtain pressure oscillation node information characterizing the control entry point; analyzing the compressor's basic displacement reference point that can simultaneously control pressure loss in the refrigeration zone and liquid inflow in the freezing zone based on the pressure oscillation node information to obtain displacement operation reference information for arbitrating conflicts; and generating and executing the dynamic control strategy based on the displacement operation reference information and the conflict intensity reflected in real time by the pressure oscillation node information, and outputting the dynamic adjustment log for the air conditioning compressor.

[0015] Secondly, this application provides a dynamic adjustment system for an air conditioning compressor adapted to a wide-temperature-range working fluid. The system includes: a phase risk analysis module, used to acquire an information set of air conditioning compressors in multi-temperature-zone vehicles, and based on the information set, analyze the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under a wide-temperature-range working fluid, to obtain a phase risk information set; a flow instability analysis module, used to analyze the coupling effect of local flow state changes in each temperature zone caused by vehicle movement amplified by a shared loop on the pressure and flow oscillation of the entire system, based on the phase risk information set, to obtain a flow instability information set; a command conflict analysis module, used to analyze the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase slugging control command caused by the coupling effect, based on the flow instability information set, to obtain a multi-objective control conflict information set; and a dynamic strategy control module, used to generate a dynamic control strategy based on the multi-objective control conflict information set, and output a dynamic adjustment log of the air conditioning compressor. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of 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 some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a schematic diagram illustrating an application scenario provided in one embodiment of this application;

[0018] Figure 2 A flowchart of a dynamic adjustment method for an air conditioning compressor adapted to a wide-temperature-range working fluid provided in an embodiment of this application;

[0019] Figure 3 This is a schematic diagram of the structure of an air conditioning compressor dynamic adjustment system adapted to a wide temperature range working fluid, provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0021] Furthermore, the term "and / or" in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this article, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship.

[0022] The embodiments of this application will now be described in further detail with reference to the accompanying drawings.

[0023] During the operation of a multi-temperature zone air conditioning system for a wide-temperature-range working fluid, the existing compressor single-temperature feedback method, when used in a multi-temperature-zone carriage, cannot distinguish the differences in flow turbulence due to the significant differences in the working fluid state parameters of each temperature zone. This leads to conflicts in the control commands of multiple zones, and the local phase change caused by vehicle movement is amplified into system-wide oscillation through the shared loop, forming a "single-point disturbance, global instability". This makes it difficult to simultaneously prevent cavitation and liquid slugging, ultimately increasing the temperature control deviation and reducing the reliability of the compressor.

[0024] Based on this, this application provides a dynamic adjustment method and system for air conditioning compressors adapted to wide-temperature-range working fluids. Through dynamic adjustment strategies, it accurately handles the phase and flow instability and control contradictions of wide-temperature-range working fluids in multi-temperature-zone air conditioning, prevents gas phase evacuation and liquid phase intrusion, reduces pressure and flow fluctuations, ensures stable operation of the compressor and system, extends equipment service life, allows for flexible parameter adjustment, maintains high refrigeration efficiency, improves working fluid energy utilization efficiency, meets the personalized temperature control needs of multiple temperature zones, and promotes the large-scale application of wide-temperature-range working fluids, combining technical advantages with practical value.

[0025] Figure 1 This application provides an application scenario diagram. In the operation of a multi-temperature zone air conditioner with a wide-temperature-range working fluid, the method provided in this application is applied to dynamically control the risk of operation of the working fluid in the multi-temperature zone air conditioner, ensuring safe, stable and efficient cooling, meeting personalized temperature control needs, and promoting its large-scale application.

[0026] Specifically, the method provided in this application can be applied to any server. The server interacts with the air conditioning compressor sensor to obtain the air conditioning compressor information set provided by the air conditioning compressor sensor, effectively avoiding the risks of gas phase cavitation and liquid phase intrusion, reducing pressure and flow oscillations, generating a multi-objective control conflict information set for the driver, ensuring safe driving and the stability of cargo quality, and outputting the air conditioning compressor dynamic adjustment log for maintenance personnel to ensure the safe and stable operation of the air conditioning compressor and extend the service life of the equipment.

[0027] For specific implementation details, please refer to the following examples.

[0028] Figure 2This is a flowchart illustrating a dynamic adjustment method for an air conditioning compressor adapted to a wide-temperature-range refrigerant, provided in one embodiment of this application. The method of this embodiment can be applied to servers in the above scenarios. Figure 2 As shown, the method includes:

[0029] S201. Obtain the air conditioning compressor information set of the multi-temperature zone carriage. Based on the air conditioning compressor information set, analyze the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under wide temperature range working fluid, and obtain the phase risk information set.

[0030] A wide-temperature-range working medium can be an air conditioning circulation medium capable of adapting to a wide temperature range. A multi-temperature-zone compartment can be a region within the same enclosed compartment space, separated by physical barriers or air curtains, with different set temperature requirements. The air conditioning compressor information set can be a set of parameters characterizing the operating status of the air conditioning compressor in a multi-temperature-zone compartment, with the air conditioning compressor sensors as the data source. Vacuum evacuation risk can be the risk of insufficient gaseous working medium supply on the compressor suction side due to excessively rapid evaporation of the working medium when the wide-temperature-range working medium is running in the refrigerated zone. Liquid inrush risk can be the risk of liquid working medium directly inrushing into the compressor due to excessive condensation of the working medium when the wide-temperature-range working medium is running in the refrigerated zone. The phase risk information set can be an information set integrating specific characterization data of vapor phase evacuation risk and liquid inrush risk.

[0031] Specifically, modern multi-temperature zone car air conditioning systems, with their wide-temperature-range refrigerants, have the advantage of being able to adapt to different temperature requirements such as refrigeration and freezing zones. However, the accompanying technical challenges are becoming increasingly prominent. If the contradictory risks of vapor phase evacuation caused by the wide-temperature-range refrigerant in the refrigeration zone (e.g., 2-10℃) and liquid phase influx caused by the wide-temperature-range refrigerant in the freezing zone (e.g., -25℃) cannot be accurately identified, subsequent control will lose its benchmark. It is very easy to exacerbate the other risk by dealing with one risk, leading to serious accidents such as liquid slugging damage or overheating wear of the compressor.

[0032] S202. Based on the phase state risk information set, the coupling effect of the local flow state changes in each temperature zone caused by vehicle motion on the pressure and flow oscillation of the whole system is analyzed through the amplification of the shared loop, and the flow state instability information set is obtained.

[0033] Vehicle motion can refer to the dynamic states of a vehicle during operation, such as acceleration, deceleration, and turning. Local flow regime change can be a sudden change in the flow state of the working fluid within each temperature zone caused by vehicle motion. Shared loop amplification can be the process by which a shared loop in each temperature zone transmits and amplifies the effects of local flow regime change. System-wide pressure and flow oscillation can be the phenomenon of periodic fluctuations in the pressure and flow rate of the working fluid throughout the entire air conditioning system. Coupling effect can be the mutual influence and interaction effect of local flow regime change amplified by the shared loop on the system-wide pressure and flow oscillation. Flow instability information set can be a collection of information recording the characteristic parameters of system-wide pressure and flow oscillation and the specific manifestations of coupling effect.

[0034] Specifically, in the operation of modern multi-temperature zone air conditioning, if the sudden changes in flow patterns in each temperature zone caused by vehicle movement (such as bumps and turns) are ignored, and the coupling amplification effect generated by the shared pipeline is ignored, it will be impossible to predict the violent global pressure and flow oscillations. This instability will instantly worsen the identified phase risks, causing the control commands derived from static analysis to completely fail under dynamic disturbances, and may even trigger system resonance.

[0035] S203. Based on the fluid instability information set, analyze the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase liquid hammer control command caused by the coupling effect, and obtain the multi-objective control conflict information set.

[0036] Anti-vacuum control commands can be generated to mitigate the risk of gas phase evacuation. Anti-liquid phase hammer control commands can be generated to mitigate the risk of liquid phase intrusion. Conflict information can refer to situations where anti-vacuum control commands and anti-liquid phase hammer control commands contradict each other during execution and cannot be simultaneously satisfied. A multi-objective control conflict information set can be a collection of information integrating the specific content, occurrence scenario, and degree of conflict of all conflict information.

[0037] Specifically, in the operation of modern multi-temperature zone air conditioning in train carriages, if the direct conflict between the two types of commands, namely "preventing gas phase evacuation" (if speed needs to be reduced) and "preventing liquid phase inrush" (if speed needs to be increased), is not clearly revealed and quantified under the background of fluid instability, the control will fall into a dilemma. Simple command superposition or crude arbitration will result in the failure to achieve the control objectives of both temperature zones, causing oscillations in contradiction, and the protection function will be rendered ineffective.

[0038] S204. Based on the multi-objective control conflict information set, generate a dynamic control strategy and output the dynamic adjustment log of the air conditioning compressor.

[0039] Dynamic control strategies can be based on a multi-objective control conflict information set, and are designed to flexibly adjust the operating parameters of the air conditioning compressor to balance various control objectives and resolve control conflicts. A dynamic control log can be a log file that records information such as changes in various parameters and the effects of the dynamic control strategy during its execution.

[0040] Specifically, if there is only correlation analysis without the generation and execution of a final coordination strategy, all the preliminary analysis will become mere theoretical discussion, unable to actually resolve risks and conflicts. Without detailed adjustment logs, it is impossible to trace the control effect, verify the merits and demerits of the strategy, and carry out iterative optimization. It will lack closed-loop learning capabilities and will be difficult to continuously adapt to complex and ever-changing working conditions.

[0041] The method provided in this embodiment precisely resolves the phase state risks, flow instability, and control conflicts of wide-temperature-range working fluids in multi-temperature-zone air conditioning. Through dynamic control strategies, it effectively avoids the risks of gas phase evacuation and liquid phase intrusion, reduces pressure and flow oscillations, ensures the safe and stable operation of the air conditioning compressor and system, and extends the service life of the equipment. At the same time, the strategy can flexibly adjust operating parameters to maintain efficient cooling effect, improve the energy utilization efficiency of the working fluid, meet the personalized temperature control needs of multi-temperature zones, and promote the large-scale application of wide-temperature-range working fluids, combining technical advantages and practical value.

[0042] In some embodiments, the air conditioning compressor information set includes compressor suction pressure, compressor discharge temperature, and refrigerant circulation flow rate. Based on the compressor suction pressure, the pressure change of the compressor suction pressure during operation in the refrigeration zone is analyzed. When the irreversible pressure drop trend is identified and there is no periodic recovery characteristic, gas phase evacuation risk information is obtained. Based on the compressor discharge temperature and combined with the refrigerant circulation flow rate, the coordinated change of the compressor discharge temperature and refrigerant circulation flow rate during operation in the freezing zone is analyzed. When the decrease in compressor discharge temperature is identified as dominating the fluctuation pattern of refrigerant circulation flow rate, liquid phase inrush risk information is obtained. The gas phase evacuation risk information and liquid phase inrush risk information are integrated to construct a phase risk information set.

[0043] Compressor suction pressure refers to the pressure value at the air conditioning compressor's suction port, a key parameter for determining the stability of the refrigerant phase in the refrigeration zone. Compressor discharge temperature refers to the temperature value at the air conditioning compressor's discharge port. Refrigerant circulation flow rate refers to the volume or mass of refrigerant flowing through the air conditioning system circuit per unit time. The refrigeration zone can be the area in a multi-temperature zone vehicle used for low-temperature preservation. Vapor phase evacuation risk information indicates the risk of insufficient gaseous refrigerant supply in the refrigeration zone due to abnormal pressure drops, potentially causing compressor wear from idling. The freezing zone can be the area in a multi-temperature zone vehicle used for deep freezing. Liquid phase inrush risk information indicates the risk of liquid refrigerant in the freezing zone not fully vaporizing due to abnormal temperature drops, directly inrushing into the compressor and causing liquid slugging damage.

[0044] Specifically, during the operation of a multi-temperature zone air conditioning system in a wide-temperature-range working fluid, if the two types of risks are not accurately identified, the evacuation of the gas phase in the refrigeration zone will cause the compressor cylinder to overheat, the lubricating oil to carbonize, or even the cylinder to seize; the influx of the liquid phase in the freezing zone will cause liquid slugging accidents such as valve plate bending and piston damage, and will also make subsequent flow instability analysis lack reliable data, resulting in inaccurate dynamic adjustment strategies. To address the aforementioned issues: First, for the compressor suction pressure data, real-time deviation calculation and trend recognition technology is used to continuously calculate its deviation value relative to the saturation pressure corresponding to the set temperature of the refrigeration zone, and monitor the dynamic process of this deviation. Through time series analysis and rate change detection algorithms, it is identified whether the pressure drop exhibits an "irreversible" characteristic, specifically manifested as a stepwise acceleration in the pressure drop rate with operating time (e.g., within every 5-minute monitoring cycle, the rate of drop accelerates from the initial 5 kPa / min to 15 kPa / min). Furthermore, through periodic fluctuation analysis, it is examined whether the minimum pressure value in adjacent compressor start-stop or load fluctuation cycles shows a trend of successively decreasing and failing to recover to the previous cycle's baseline level (e.g., the baseline is 250 kPa, and the minimum point in subsequent cycles successively decreases to 245 kPa and 238 kPa). When these conditions are simultaneously met, gas phase evacuation risk information is determined and generated. Second, regarding the compressor discharge temperature and refrigeration... Using time-series alignment and correlation analysis techniques, the circulating flow data of the agent is analyzed to examine the synergistic changes between the two during the operation of the refrigeration zone. Inflection point detection and event synchronization analysis algorithms are employed to identify whether the inflection points of the phased decrease in exhaust temperature (e.g., a sudden drop in temperature from 65°C to 52°C within 2 minutes) have a locked-following relationship with the peak or trough of the flow fluctuation. Further, through fluctuation morphology attenuation analysis, the magnitude of the flow fluctuation is quantitatively observed to determine whether, during the continuous cooling phase, the amplitude of the flow fluctuation exhibits a suppressed contraction trend along with the temperature decrease (e.g., for every 5°C decrease in temperature, the amplitude of the flow fluctuation decreases by 30%). This determines whether the flow activity is dominated and constrained by the temperature decrease. When this synergistic change pattern is confirmed, liquid phase intrusion risk information is identified and generated. Finally, through information fusion technology, the structured information output from the two independent analysis channels, each with timestamps and risk level labels, is integrated to construct a unified phase risk information set, providing input for subsequent analysis.

[0045] The method provided in this embodiment accurately captures the early characteristics of two types of risks under wide-temperature working fluid conditions, allowing sufficient reaction time for compressor protection, significantly reducing the probability of equipment failure and extending service life. At the same time, the constructed phase state risk information set provides accurate data support for subsequent flow instability analysis and control conflict resolution, laying the foundation for the effectiveness of the entire dynamic adjustment method.

[0046] In some embodiments, based on the compressor suction pressure and a preset refrigeration zone set temperature, the real-time deviation of the compressor suction pressure relative to the saturation pressure corresponding to the refrigeration zone set temperature is analyzed. When the real-time deviation is found to be continuously expanding without convergence, suction pressure anomaly information is obtained. Based on the suction pressure anomaly information, the pressure drop rate is analyzed as a function of the compressor running time. When the pressure drop rate is found to exhibit a stepwise acceleration characteristic within a unit time, irreversible pressure loss information is obtained. Based on the irreversible pressure loss information, the evolution of the minimum pressure value within adjacent fluctuation cycles is analyzed. When the minimum pressure value in each cycle is found to decrease successively without periodically recovering to the reference level, pressure change is obtained.

[0047] The set temperature of the refrigerated compartment can be a target temperature value preset according to the refrigeration requirements of the multi-temperature zone compartment. Saturation pressure can be the saturation pressure value of the working fluid in a wide temperature range at the corresponding set temperature of the refrigerated compartment. Real-time deviation can be the real-time difference between the compressor suction pressure and the saturation pressure corresponding to the set temperature of the refrigerated compartment. Suction pressure anomaly information can be state data characterizing the continuous expansion of the real-time deviation of the suction pressure without convergence. Pressure drop rate can be the magnitude of the decrease in compressor suction pressure per unit time. Compressor running time can be the continuous operating time of the air conditioning compressor from startup to the current moment. Irreversible pressure loss information can be state information reflecting a stepwise acceleration in the pressure drop rate. Adjacent fluctuation periods can be continuous periodic periods of compressor suction pressure fluctuation. Minimum pressure value can be the minimum value of the compressor suction pressure within each fluctuation period. Periodic recovery to the baseline level can be the characteristic that the minimum pressure value can rise back to the initial stable pressure in subsequent periods. Pressure change can be the overall trend of compressor suction pressure change after combining real-time deviation, drop rate, and the evolution of the periodic minimum value.

[0048] Specifically, during operation in the multi-temperature zone refrigerated compartment, if the compressor suction pressure changes are not accurately analyzed, irreversible pressure loss may be mistaken for normal fluctuations, leading to missed detection of the risk of vapor phase cavitation. This can cause insufficient compressor suction and a sudden increase in exhaust temperature, significantly reducing refrigeration efficiency, causing compressor mechanical wear, and in severe cases, burning out the equipment, damaging the stability of the air conditioning system, and creating hidden dangers for subsequent flow instability and control conflicts. To address the above problems: First, a dynamic mapping and real-time difference calculation technology for the set temperature is adopted. Based on the preset refrigerated compartment set temperature (e.g., 5℃), the corresponding theoretical saturation pressure (e.g., the saturation pressure of R290 at 5℃ is approximately 5.8 barabs) is mapped in real time through a built-in wide-temperature-range working fluid property database. The real-time deviation (e.g., -0.6 bar) between the compressor suction pressure measured by the pressure sensor (e.g., 5.2 bar) and this dynamic benchmark is continuously calculated. Then, a time-series-based algorithm for continuously expanding trend identification is used to perform rolling analysis and continuous... The algorithm checks whether the deviation value has unidirectionally increased over several sampling periods (e.g., 30 consecutive seconds) without showing signs of converging to near zero. If so, it determines that "abnormal inspiratory pressure information" has been generated. Then, using first-order difference and morphological analysis methods, with the abnormal information as a time anchor, it extracts the raw inspiratory pressure data within a time window before and after that point, calculating its rate of change over time (i.e., pressure drop rate, in bar / s). A sliding window detection technique targeting step-like features is then used to analyze this rate curve within a set unit time (e.g., every 10 seconds as an analysis window). The change pattern is analyzed. If the rate value exhibits discrete, upward jumps within several consecutive windows (e.g., from -0.01 bar / s to -0.03 bar / s and stabilizes at the new level), rather than a continuous smooth change, it is identified as a "step-like acceleration characteristic," generating "irreversible pressure loss information." Finally, waveform period segmentation and feature extraction techniques from signal processing are applied. Based on the time period located by the aforementioned information, the raw inhalation pressure signal is bandpass filtered to highlight its operating frequency fluctuations, and continuous fluctuation periods are automatically identified and segmented. Sequence comparison and reconstruction are then used. The recurrence determination algorithm extracts the minimum pressure value of each cycle to form a sequence. If the algorithm determines that the sequence is strictly monotonically decreasing (e.g., the minimum values ​​of the cycles are 2.0 bar, 1.85 bar, and 1.7 bar respectively), and the pressure rebound point at the end of each cycle cannot recover to the average level of the minimum values ​​of the previous few cycles (e.g., it is always below 1.9 bar), then the complete pressure change analysis result that represents the risk is finally confirmed. This process integrates multiple technical means such as dynamic benchmark mapping, time series trend analysis, rate of change morphology detection, and periodic signal feature diagnosis.

[0049] The method provided in this embodiment can detect early signs of gas phase evacuation, avoid misjudgment or omission of risks, ensure stable compressor intake, prevent equipment failure and extend its service life, and provide accurate data support for phase risk information set, ensuring the effectiveness of subsequent flow instability analysis and conflict resolution, maintaining the cooling effect of the cold storage area, and laying a solid foundation for dynamic adjustment of air conditioning.

[0050] In some embodiments, based on the compressor discharge temperature and according to a preset refrigeration zone set temperature, the variation characteristics under the refrigeration zone set temperature are analyzed. When it is identified that the compressor discharge temperature exhibits an uncontrolled and continuous decline with a decline slope exceeding a preset threshold, discharge temperature anomaly information is obtained. Based on the discharge temperature anomaly information, combined with the refrigerant circulation flow rate, the temporal following relationship between flow fluctuation and temperature decline is analyzed. When it is identified that the peak and trough times of flow fluctuation exhibit a locked-following characteristic with the inflection point of the phased decline of the compressor discharge temperature, flow temperature clamping information is obtained. Based on the flow temperature clamping information, the attenuation pattern of flow fluctuation during the continuous cooling phase is analyzed. When it is identified that the amplitude of flow fluctuation exhibits a suppressed contraction trend as the temperature decreases and loses its autonomous regulation activity, coordinated change is obtained.

[0051] The set temperature of the refrigeration zone can be the preset target temperature value of the refrigeration zone in a multi-temperature zone compartment. Abnormal exhaust temperature information can be information indicating that the compressor exhaust temperature deviates from the normal range corresponding to the set temperature of the refrigeration zone, exhibiting an uncontrolled and continuous decline with an excessive rate of decline. The time-series correlation can be the corresponding correlation between the fluctuation of refrigerant circulation flow and the decrease in compressor exhaust temperature over time. Flow rate constrained by temperature information can be information indicating that the fluctuation pattern of refrigerant circulation flow is dominated by the decreasing trend of compressor exhaust temperature, with flow rate changes strictly following the inflection point of temperature change. The continuous cooling phase can be a continuous period of time during which the compressor exhaust temperature decreases uncontrollably without showing a convergence trend. The attenuation pattern of flow fluctuation can be the trend of the refrigerant circulation flow fluctuation amplitude gradually decreasing during continuous cooling. Self-regulating activity can be the ability of the refrigerant circulation flow to autonomously adjust its fluctuation range and frequency according to changes in system pressure, temperature, and other parameters. Coordinated change can be the dynamic correlation state of mutual influence and constraint between compressor exhaust temperature and refrigerant circulation flow during operation in the refrigeration zone.

[0052] Specifically, during the operation of a wide-temperature-range working fluid in a multi-temperature-zone car air conditioner, if the coordinated changes in the compressor discharge temperature and refrigerant circulation flow in the refrigeration zone are not analyzed, the abnormal flow rate dominated by temperature will not be detected, leading to excessive liquid phase entering the compressor and causing liquid slugging. It will also amplify the system flow instability through the shared loop, exacerbate multi-objective control conflicts, and ultimately cause equipment damage and air conditioner shutdown. To address the aforementioned issues: First, real-time trend fitting and differential analysis are employed to process the exhaust temperature time-series data, calculating its instantaneous drop slope. This slope is then compared with a dynamic threshold set based on the working fluid characteristics and historical safety data (e.g., when a slope consistently exceeds 0.5℃ / second). Once an abnormal, uncontrolled rapid drop is detected, an "exhaust temperature anomaly information" is triggered. Next, high-precision time-series alignment and cross-correlation analysis techniques are used to couple the current temperature anomaly period with refrigerant flow data on a millisecond-level time axis. A sliding window peak detection algorithm is used to capture the peaks and troughs of flow fluctuations in real time (e.g., identifying drastic fluctuations exceeding ±15% of the steady-state value), and the temporal relationship between these key fluctuation points and the aforementioned temperature drop inflection point is analyzed. If flow fluctuations are detected... The turning point (such as the peak) is always locked within a very short and fixed time window (such as 200 milliseconds) after the starting point of the accelerated temperature drop, which is then judged as "flow rate clamping information due to temperature". Finally, for this clamped flow rate data segment, a dynamic envelope extraction and attenuation quantification method is used for analysis: the moving average and standard deviation of the fluctuation amplitude are calculated, and their change curves over time (or as the temperature decreases) are observed; if it is found that the fluctuation envelope shows a continuous convergence trend (for example, the fluctuation amplitude systematically decreases from ±20% to ±5% within 30 seconds) and loses its normal random fluctuation characteristics, it is finally confirmed as a "cooperative change" that characterizes the risk of liquid phase intrusion and loses autonomous activity. The whole process is automatically completed by the embedded diagnostic module, and the results are output to the upper control system in real time.

[0053] The method provided in this embodiment accurately captures the temperature and flow coordination pattern in the freezing zone, which can provide early warning of the risk of liquid phase intrusion, avoid damage to the compressor from the source, provide key data for flow stability analysis, reduce the transmission of fluctuations in the shared loop, lay a solid foundation for resolving control conflicts in the future, and ensure the continuous, safe and efficient operation of the air conditioner under a wide temperature range of working fluid.

[0054] In some embodiments, based on gas phase evacuation risk information and combined with liquid phase inrush risk information, the synchronous sudden and alternating dominant characteristics in the time dimension are analyzed. When the two types of risk information are identified to appear in an uncontrolled and dense alternation, dynamic interference information characterizing the disturbance caused by vehicle movement is obtained. Based on the dynamic interference information, the inverse correlation between the sudden changes in risk information in different temperature zones and the risk states of adjacent temperature zones is analyzed. When the gas phase evacuation risk in the refrigeration zone is identified to be aggravated simultaneously with the liquid phase inrush risk in the freezing zone being weakened, and the inverse correlation is associated with the occurrence of violent fluctuations in the same direction on the shared loop, the unidirectional amplification information of the shared loop is obtained. Based on the unidirectional amplification information of the shared loop, the self-sustaining and diffusion process of violent fluctuations in the same direction within the system is analyzed. When the amplitude of pressure and flow oscillations no longer decays and the oscillation range expands from the local temperature zone to all temperature zone loops, a set of flow instability information characterizing the entire system entering a state of continuous instability is obtained.

[0055] Dynamic interference information can characterize disturbances caused by vehicle movement, reflecting the uncontrolled and dense alternation of gas phase evacuation risk and liquid phase influx risk over time. Reverse correlation can be the inverse relationship between the risk states of adjacent temperature zones when risk information in different temperature zones abruptly changes. Shared loop unidirectional amplification information can characterize the unidirectional and violent fluctuations caused by the reverse correlation of temperature zone risks in the shared loop. The flow instability information set can be the set of information characterizing the entire system entering a state of continuous pressure and flow oscillation, unable to autonomously recover to a steady state. Pressure and flow oscillations can be the periodic fluctuations in pressure and refrigerant circulation flow within the system, a core manifestation of flow instability. The entire system can be the entire air conditioning system including the refrigeration zone loop, the freezer loop, the shared loop, and the compressor.

[0056] Specifically, during dynamic processes such as acceleration and turning of a vehicle, only identifying the risks of gas phase evacuation in the refrigeration zone and liquid phase inrush in the freezing zone in isolation cannot capture the system coupling effect of the two types of risks amplified by the shared loop. This can easily lead to misjudgment of local faults and underestimation of the risk propagation speed, causing pressure and flow oscillations in the entire system, which in turn can cause compressor liquid slugging and idling, seriously affecting the air conditioning cooling effect and service life. To address the aforementioned issues: First, the Dynamic Time Warping (DTW) algorithm is employed to perform nonlinear alignment and pattern recognition on the intensity time-series signals of two types of risk information: gas phase evacuation and liquid phase inrush. For example, by calculating the cross-correlation and state-flipping frequency of the two within a moving time window (e.g., 10 seconds), when it is identified that the risk dominance switches non-periodically between the refrigerated and frozen zones at an extremely high frequency (e.g., alternating more than twice per second), and is strongly correlated with the abrupt changes in vehicle attitude sensor signals (e.g., gyroscopes, accelerometers), dynamic interference information characterizing the strong coupling disturbance caused by vehicle motion is identified and extracted. Then, based on fluid network theory and lumped parameter methods, shared loops (e.g., common intake pipes and gas-liquid separators) are constructed as dynamic links with specific transfer functions. Using this as an analytical tool, when the risk in the refrigerated zone intensifies in the dynamic interference information, the attenuation degree of the risk signal in the frozen zone is monitored simultaneously, and the key measurement points of the shared loop (e.g., pressure) under this event are calculated. The amplification gain of pressure fluctuations at the compressor intake is analyzed. If the analysis shows that the gain is significantly greater than 1 (e.g., 3 to 5 times), and the actual pressure oscillation amplitude has exceeded the static and dynamic safety boundaries (e.g., fluctuation amplitude exceeds 30 kPa), then the unidirectional amplification information of the shared loop is confirmed. Finally, to determine whether the amplified oscillation is self-sustaining, a nonlinear time series analysis and stability determination method are used. Specifically, this is achieved by performing recursive quantization analysis on the main pressure oscillation sequence of the shared loop or calculating its maximum Lyapunov exponent. If the analysis results show that the oscillation trajectory exhibits a divergent or constant trend in phase space (e.g., the Lyapunov exponent is positive), and the spectral coherence analysis reveals that the main pressure fluctuation frequency of each independent temperature zone loop is locked at the instability frequency of the shared loop within multiple consecutive oscillation cycles (e.g., more than 5 cycles) (coherence coefficient greater than 0.9), then the system is confirmed to have entered a state of instability with forced synchronization across the entire domain, thus completing the construction of the flow instability information set.

[0057] The method provided in this embodiment accurately captures the inherent logic of vehicle motion, temperature zone risk correlation, and system oscillation, fills the gap in local risk and system-level assessment, provides reliable data for subsequent control conflict identification, avoids control strategy failure, reduces compressor wear, enhances the air conditioner's adaptability to complex road conditions, ensures multi-temperature zone cooling stability, and extends the service life of the air conditioning system.

[0058] In some embodiments, based on dynamic interference information, the reverse change process of the liquid phase inrush risk information in the freezing zone is analyzed when the risk of gas phase evacuation in the refrigeration zone intensifies, thus obtaining refrigeration-to-freezing reverse inhibition information; based on the reverse inhibition information, the reverse change process of the gas phase evacuation risk information in the refrigeration zone is analyzed when the risk of liquid phase inrush in the freezing zone intensifies, thus obtaining freezing-to-refrigeration reverse inhibition information; integrating the refrigeration-to-freezing reverse inhibition information and the freezing-to-refrigeration reverse inhibition information, a reverse correlation is constructed.

[0059] The reverse suppression information from refrigeration to freezing can be information about the process where, as the risk of gas phase evacuation in the refrigeration zone intensifies, the risk of liquid phase influx in the freezing zone decreases accordingly.

[0060] Specifically, during vehicle operation, the risks in the refrigerated and frozen zones can change abruptly due to frequent movement and influence each other through a shared loop. Without analyzing the inverse correlation, independent risks may be misjudged, leading to conflicting commands and amplified oscillations in the shared loop, causing instability in the working fluid flow. This not only affects storage efficiency but also exacerbates compressor wear. To address these issues: First, based on dynamic interference information, the typical period of heightened gas phase evacuation risk in the refrigerated zone is identified (e.g., identifying a drop in intake pressure exceeding a set threshold from a standard value within 10 seconds, with the rate of decrease accelerating stepwise, such as from an initial -0.05 kPa / s to -0.20 kPa / s). This is used as the time anchor point for analysis. Using time series alignment and causal inference techniques, the exhaust temperature and flow rate data of the frozen zone within a time window before and after this moment (e.g., 30 seconds before and after) are extracted and refined for analysis. By calculating the cross-correlation function and the Granger causality test, when the analysis reveals that the exhaust temperature of the frozen zone increases after the pressure in the refrigerated zone begins to accelerate its decline... After a specific delay (e.g., 5 seconds), a significant rebound (e.g., a rebound exceeding 3°C) occurs, triggered by non-control commands. Simultaneously, during this period, the opening command of the electronic expansion valve in the freezing zone remains stable or even attempts to increase to maintain the low temperature, but the flow fluctuation amplitude abnormally contracts (e.g., the fluctuation range shrinks from ±1.5 kg / h to ±0.5 kg / h). This indicates the occurrence of a dynamic process of "passively suppressing the risk in the freezing zone by aggravating the risk in the refrigerated zone," thereby generating "reverse suppression information from refrigeration to freezing." Conversely, using the exact same analytical logic, the pressure changes in the refrigerated zone are analyzed during the period of increased risk in the freezing zone to generate "reverse suppression information from freezing to refrigeration." Finally, using an information fusion algorithm, these two sets of suppression process information, which are interlocked in time and mutually corroborated in physical form, are integrated to construct a "reverse correlation" dynamic coupling relationship that quantitatively describes the direction, intensity, and lag time of risk transmission. This relationship, in the form of a mathematical expression, characterizes the real-time negative correlation characteristics of cross-temperature zone risk states.

[0061] The method provided in this embodiment accurately captures the bidirectional suppression law of temperature zone risk, avoiding the one-sidedness of single temperature zone analysis. It provides core basis for subsequent analysis of shared loop amplification effect and judgment of flow instability, making the flow instability information set more accurate, laying a solid foundation for control conflict resolution and regulation strategy formulation, and ensuring stable operation of the compressor.

[0062] In some embodiments, based on the unidirectional amplification information of the shared loop, the impact information of the amplification of the next unidirectional fluctuation after the triggering of the violent oscillation in the shared loop is analyzed to obtain oscillation positive feedback information; based on the oscillation positive feedback information, combined with the inverse correlation, the process information of the continuous enhanced oscillation in the shared loop forcing the independent loop operating base point of the refrigeration zone and the freezing zone to drift through pressure transmission and capacity competition is analyzed to obtain the global forced synchronization information characterizing self-sustainability; based on the global forced synchronization information, the process information of the periodic overwriting and reset of the independent adjustment command effect of each temperature zone under the global synchronous oscillation state is analyzed to obtain steady-state recovery failure information including the diffusion process; wherein, the steady-state recovery failure information is used to construct the flow instability information set.

[0063] Severe unidirectional fluctuations can be caused by drastic pressure or flow fluctuations exhibiting the same trend within a shared loop. Oscillation positive feedback information can be information that reinforces the next unidirectional fluctuation triggered by severe unidirectional fluctuations within a shared loop. Forced global synchronization information can be information about the process where continuously increasing oscillations within a shared loop force the operating baseline of the independent loops in the refrigeration and freezing zones to drift through pressure transmission and capacity competition. Pressure transmission can be the process where pressure changes in one temperature zone loop are transmitted to other temperature zone loops through the shared loop. Capacity competition can be the competitive behavior of the independent loops in the refrigeration and freezing zones regarding the allocation of refrigerant circulation capacity. Independent loop operating baseline drift can be the phenomenon where the reference value of key parameters for stable operation of an independent loop deviates. Globally synchronized oscillation state can be a state where the pressure and flow oscillation range expands from a local temperature zone to all temperature zone loops, and the oscillations of each loop remain synchronized. Independent regulation commands can be regulation commands specifically formulated for the refrigeration or freezing zone to stabilize the flow state. Cycle overwriting and reset can be the process where the execution effect of an independent regulation command is repeatedly overwritten by the oscillation cycle, causing the command's effect to become unsustainable and requiring re-execution. Steady-state recovery failure information can refer to the process where, under global synchronous oscillation conditions, independent adjustment commands for each temperature zone fail to achieve steady-state recovery, and flow instability continues to spread. The flow instability information set can be a collection of information characterizing the entire system entering a state of sustained instability.

[0064] Specifically, vehicle movement causes sudden changes in the local flow pattern in the temperature zone. After being amplified by the shared loop, it forms an oscillating positive feedback. If the self-sustaining and diffusion of the flow instability are not analyzed, the oscillation amplitude will continue to increase, the operating base point of the independent loop will drift, the refrigeration parameters will deviate from the set value, causing compressor cavitation and liquid slugging, and will also cause the subsequent control conflict analysis to be inaccurate, resulting in control failure. To address the aforementioned issues: First, based on the unidirectional amplification information of the shared loop, a high-speed time-series correlation analysis method is employed to align and compare pressure and flow sensor data at the millisecond level, identifying the self-reinforcing mechanism of unidirectional, drastic fluctuations (e.g., a series of sudden drops in suction pressure with extremely short intervals and progressively increasing amplitudes). When a sudden pressure drop is transmitted through the shared loop, it causes the compressor suction pressure sensor to misjudge "insufficient working fluid," triggering a rapid increase in speed. The execution delay and overshoot of this command coincide with the next sudden flow change caused by vehicle bumps, creating a stronger pressure suction effect and thus setting the stage for the next, more severe pressure drop. This process is extracted as oscillating positive feedback information. Next, combining the inverse correlation between the risk states of the refrigerated and frozen zones, pressure transmission network analysis and refrigerant capacity competition modeling methods are used to analyze how this positive feedback oscillation forces a reallocation of system resources. For example, when the oscillation causes the average pressure of the shared loop to continuously decrease, the evaporator in the frozen zone, due to its lower operating pressure setpoint, experiences a further decrease in pressure. Prioritizing the acquisition of limited refrigerant temporarily alleviates the risk of liquid phase intrusion, but at the cost of further lowering the evaporation pressure in the refrigeration zone and exacerbating the risk of vapor phase evacuation. This dynamic capacity competition driven by oscillation forces the independent pressure operating base points of the two temperature zones to abandon their original settings and instead drift synchronously with the oscillation cycle, forming a forced synchronization information across the entire region. Subsequently, under this forced synchronization state, multivariate command effect tracking technology is used to simulate and analyze the actual fate of the independent control commands of each temperature zone. For example, at the pressure trough of the oscillation, the expansion valve opening command calculated by the refrigeration zone controller has just begun to be executed, but the system pressure has already entered a rising cycle due to global oscillation, causing the command to exacerbate the risk of liquid return in the refrigeration zone. At the same time, the valve closing command in the freezing zone also fails due to phase mismatch. This process of command effects being repeatedly covered and reset by the oscillation cycle means that all local adjustments cannot accumulate stable control effects and lose steady-state recovery capabilities, thus obtaining steady-state recovery failure information, which is ultimately used to construct a flow instability information set.

[0065] The method provided in this embodiment accurately captures the entire path of flow instability “trigger-intensification-diffusion”, clarifies the key reasons for oscillation intensification, base point drift and command failure, provides accurate data support for multi-objective control conflict analysis, enables subsequent regulation to cut off the instability chain in a targeted manner, avoids compressor damage, improves the stability of air conditioning operation, and ensures that the multi-temperature zone storage and preservation environment meets the standards.

[0066] In some embodiments, based on global forced synchronization information, the real-time conflict between the control actions required by the anti-vacuum control command in the refrigeration zone and the control actions required by the anti-liquid phase slugging control command in the freezing zone under global synchronous oscillation is analyzed to obtain command mutual exclusion information. Based on the command mutual exclusion information and combined with oscillation positive feedback information, the process of mutually exclusive control actions being cyclically superimposed and amplified in the oscillation cycle of the shared loop is analyzed to obtain mutual exclusion cycle information. Based on the mutual exclusion cycle information and combined with steady-state recovery failure information, the process of mutually exclusive and continuously deteriorating control actions causing the independent adjustment targets of the refrigeration zone and the freezing zone to fail to be achieved, and the air conditioning compressor to be unable to escape the continuous unstable state, is analyzed to obtain conflict deadlock information. The command mutual exclusion information, mutual exclusion cycle information, and conflict deadlock information are integrated to construct a multi-objective control conflict information set.

[0067] Command mutual exclusion information can be the real-time conflicting relationship between the control actions required by the anti-vacuum control command and the anti-liquid slugging control command under global synchronous oscillation. Mutually exclusive cycle information can be the process information of mutually exclusive control actions being cyclically superimposed and amplified in the oscillation cycle of the shared loop. Conflict deadlock information can be the process information of mutually exclusive and continuously deteriorating control actions causing the independent adjustment targets of the refrigeration and freezing zones to fail to be achieved, and the air conditioning compressor to be unable to escape the continuous unstable state.

[0068] Specifically, when the multi-temperature zone air conditioning compressor is running, the sudden changes in flow caused by vehicle movement are amplified through the shared loop, entering a state of global synchronous oscillation. The commands to prevent vapor phase evacuation and prevent liquid phase slugging are contradictory. A lack of conflict analysis can lead to control failure, exacerbating the risk of vapor phase evacuation or liquid phase intrusion, causing compressor wear, soaring energy consumption, and even equipment failure, thus failing to meet the cooling needs of the multi-temperature zones. To address these issues: First, real-time data cross-comparison and command intent analysis technology are used. Specifically, the evaporator pressure in the refrigeration zone (e.g., when the pressure is consistently below a certain threshold of its corresponding saturation pressure) and the suction superheat in the freezing zone (e.g., when the superheat is consistently below a certain safe degree Celsius) are monitored simultaneously. The triggered "vacuum phase evacuation control command" (whose inherent requirement may be to increase the compressor displacement to increase suction pressure) and "liquid phase slugging control command" (whose inherent requirement may be to decrease the compressor displacement to increase superheat) are then deconstructed. By analyzing the direction of action of both commands on the same actuator (compressor), the "command mutual exclusion information" can be directly extracted. Then, combined with the "oscillation positive feedback information" reflecting the self-reinforcing nature of fluctuations, high-frequency data stream time-series correlation and phase analysis methods are used to track and observe the actual effect of the aforementioned mutually exclusive commands within a complete system pressure oscillation cycle (e.g., a cycle from trough to peak and back to trough). For example, during the rising phase of the oscillation, the increased displacement operation executed in response to the anti-vacuum command not only fails to effectively increase the pressure in the refrigeration compartment, but also, due to the positive feedback mechanism, intensifies the surge of liquid refrigerant flowing to the freezing compartment, thereby immediately triggering a stronger anti-liquid slugging response. The emission reduction command, by depicting the closed-loop process in which "the execution effect of command A in real time evokes and strengthens command B, while the execution of command B in turn undermines the target of command A," accurately identifies "mutually exclusive loop information." Finally, it integrates "steady-state recovery failure information" indicating the loss of self-healing ability. Through multi-cycle closed-loop control effect backtracking and logical deduction verification, it assesses whether the pressure in the refrigerated zone and the superheat in the frozen zone continue to deviate from their respective safe ranges without convergence after several oscillation cycles. This confirms that the system has fallen into "conflict deadlock information" caused by a fundamental conflict of objectives, which cannot be resolved by conventional control. The entire process realizes the construction of a closed-loop cognition from phenomenon perception to conflict diagnosis.

[0069] The method provided in this embodiment accurately captures key conflict nodes and deterioration patterns, providing a reliable basis for subsequent dynamic control, effectively avoiding the risk accumulation caused by blind control, ensuring stable operation of the compressor under complex operating conditions, improving the adaptability of working fluids in a wide temperature range and the temperature control accuracy in multiple temperature zones, reducing component wear, and lowering operating energy consumption.

[0070] In some embodiments, based on conflict deadlock information and instruction mutual exclusion information, the specific location and intensity of the strongest antagonistic effect on the shared loop are analyzed to obtain pressure oscillation node information characterizing the control entry point; based on the pressure oscillation node information and combined with global forced synchronization information, the compressor basic displacement reference point that can simultaneously pull the pressure loss in the refrigeration zone and the liquid inflow in the freezing zone is analyzed to obtain displacement operation reference information for arbitrating conflicts; based on the displacement operation reference information, according to the conflict intensity reflected in real time by the pressure oscillation node information, a dynamic control strategy is generated and executed, and the dynamic adjustment log of the air conditioning compressor is output.

[0071] Pressure oscillation node information can be the specific location and intensity of the strongest countermeasures against gas phase evacuation and liquid phase slugging control actions on the shared circuit. Displacement operating reference information can be the basic displacement reference point information of the compressor capable of simultaneously addressing pressure loss in the refrigeration zone and liquid inflow in the freezing zone.

[0072] Specifically, during the operation of a vehicle air conditioning system with a wide temperature range and multiple temperature zones, conflicting control commands can lead to a deadlock and unstable compressor operation. This not only exacerbates the pressure loss in the refrigeration zone and the influx of liquid phase into the freezing zone, resulting in refrigeration failure, but also significantly increases energy consumption, accelerates component wear, shortens system life, and may even cause compressor failure, resulting in air conditioning paralysis and affecting the quality and safety of cargo transportation. To address the aforementioned issues: First, time series correlation analysis and oscillation mode identification techniques are employed to jointly analyze the real-time acquired shared loop pressure signal and risk state signals from the refrigeration and freezing zones (such as the rate of decrease in suction pressure and the slope of change in exhaust temperature). For example, by calculating the cross-correlation function, the pressure fluctuation peaks and troughs at the compressor suction manifold are located, showing a high degree of synchronization with the moment when the "gas phase evacuation risk" intensifies in the refrigeration zone. Simultaneously, the fluctuation pattern is inversely correlated with the fluctuations of the "liquid phase inrush risk" in the freezing zone, thus accurately identifying this manifold point as the current pressure oscillation node with the strongest conflict, and quantifying its oscillation intensity (e.g., the current pressure fluctuation amplitude is 3 times that of normal operation). Subsequently, a constrained multi-objective dynamic optimization algorithm is used, with the attenuation of the pressure oscillation at the aforementioned node as the primary objective, aiming to prevent the suction pressure in the refrigeration zone from falling below a critical value (e.g., 0.2 MPaabs) and to prevent the exhaust temperature in the freezing zone from exceeding the critical value. A temperature below the liquid slugging risk threshold (e.g., -25℃) is used as a hard constraint. Online rolling solutions are performed within the feasible domain of compressor displacement. For example, the algorithm calculates a specific value about 15% lower than the current displacement as the displacement operating baseline through iterative optimization. This baseline can suppress the violent oscillations of the shared circuit to the greatest extent without touching any temperature zone safety red line. Finally, based on this baseline, an adaptive proportional adjustment mechanism is adopted to generate the final dynamic control strategy: the pressure amplitude (conflict intensity) of the oscillation node monitored in real time is used as the adjustment input. If the amplitude increases, a reverse displacement fine adjustment (e.g., a further reduction of 2%) is added to the operating baseline. This instruction sequence is sent to the compressor inverter driver for execution, and the baseline value, oscillation intensity, adjustment amount, and response trend of key system parameters after execution are all structured and recorded in the air conditioning compressor dynamic adjustment log for subsequent analysis and strategy optimization.

[0073] The method provided in this embodiment accurately resolves command conflict deadlocks, promotes rapid recovery of air conditioning stability, takes into account the cooling needs of both temperature zones, improves operational stability and cooling accuracy, dynamically adjusts to reduce energy consumption, reduces compressor wear and extends service life, and the output adjustment log provides a basis for subsequent fault diagnosis and parameter optimization, thereby improving the convenience of system maintenance and long-term reliability.

[0074] Figure 3 This is a schematic diagram of the structure of an air conditioning compressor dynamic adjustment system adapted to a wide temperature range working fluid provided in an embodiment of this application, as shown below. Figure 3As shown, the dynamic adjustment system 300 for air conditioning compressors that adapts to wide-temperature-range working fluids in this embodiment includes: a phase state risk analysis module 301, a flow state instability analysis module 302, an instruction conflict analysis module 303, and a dynamic strategy control module 304.

[0075] The phase risk analysis module 301 is used to acquire the air conditioning compressor information set of the multi-temperature zone compartment. Based on the air conditioning compressor information set, it analyzes the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under wide temperature range working fluid, and obtains the phase risk information set. The flow instability analysis module 302 is used to analyze the coupling effect of the local flow change in each temperature zone caused by vehicle movement amplified by the shared loop on the pressure and flow oscillation of the whole system, and obtains the flow instability information set. The command conflict analysis module 303 is used to analyze the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase slugging control command caused by the coupling effect, and obtain the multi-objective control conflict information set. The dynamic strategy control module 304 is used to generate a dynamic control strategy based on the multi-objective control conflict information set and output the dynamic adjustment log of the air conditioning compressor.

[0076] Optionally, the phase risk analysis module 301, during the construction of the phase risk information set, is specifically used for: the air conditioning compressor information set including compressor suction pressure, compressor discharge temperature, and refrigerant circulation flow rate; based on the compressor suction pressure, analyzing the pressure change of the compressor suction pressure during operation in the refrigeration zone, and obtaining gas phase evacuation risk information when the irreversible pressure drop trend is identified and there is no periodic recovery characteristic; based on the compressor discharge temperature, combined with the refrigerant circulation flow rate, analyzing the coordinated change of the compressor discharge temperature and the refrigerant circulation flow rate during operation in the freezing zone, and obtaining liquid phase inrush risk information when the decrease in the compressor discharge temperature dominates the fluctuation pattern of the refrigerant circulation flow rate; and integrating the gas phase evacuation risk information and the liquid phase inrush risk information to construct the phase risk information set.

[0077] Optionally, when analyzing the pressure changes of the compressor suction pressure during operation in the refrigeration zone, the phase risk analysis module 301 is specifically used for: based on the compressor suction pressure, and according to a preset refrigeration zone set temperature, analyzing the real-time deviation of the compressor suction pressure relative to the saturation pressure corresponding to the refrigeration zone set temperature; when the real-time deviation is identified as continuously increasing without convergence, suction pressure anomaly information is obtained; based on the suction pressure anomaly information, analyzing the change in pressure drop rate with compressor operating time; when the pressure drop rate is identified as exhibiting a stepwise acceleration characteristic within a unit time, irreversible pressure loss information is obtained; based on the irreversible pressure loss information, analyzing the evolution of the minimum pressure value within adjacent fluctuation cycles; when the minimum pressure value of each cycle decreases successively without periodically recovering to the reference level, the pressure change is obtained.

[0078] Optionally, when analyzing the coordinated changes of the compressor discharge temperature and the refrigerant circulation flow rate during operation in the refrigeration zone, the phase state risk analysis module 301 is specifically used for: based on the compressor discharge temperature, according to a preset refrigeration zone set temperature, analyzing the change characteristics under the preset refrigeration zone set temperature; when it is identified that the compressor discharge temperature exhibits an uncontrolled continuous decrease and the rate of decrease exceeds a preset threshold, obtaining discharge temperature anomaly information; based on the discharge temperature anomaly information, combined with the refrigerant circulation flow rate, analyzing the temporal following relationship between flow rate fluctuation and temperature decrease; when it is identified that the peak and trough times of flow rate fluctuation exhibit a locking following characteristic with the staged inflection point of the compressor discharge temperature decrease, obtaining flow rate temperature-clamped information; based on the flow rate temperature-clamped information, analyzing the attenuation pattern of flow rate fluctuation during the continuous cooling phase; when it is identified that the amplitude of flow rate fluctuation exhibits a suppressed contraction trend as the temperature decreases and loses its autonomous regulation activity, obtaining the coordinated change.

[0079] Optionally, the flow instability analysis module 302, during the construction of the flow instability information set, is specifically used for: analyzing the synchronous sudden and alternating dominant characteristics in the time dimension based on the gas phase evacuation risk information and the liquid phase inrush risk information; when the two types of risk information are identified to appear uncontrollably and densely alternately, dynamic interference information characterizing the disturbance caused by vehicle movement is obtained; based on the dynamic interference information, analyzing the inverse correlation between the sudden changes in risk information in different temperature zones and the risk states of adjacent temperature zones; when the gas phase evacuation risk in the refrigeration zone is identified to be aggravated simultaneously with the liquid phase inrush risk in the freezing zone being weakened, and when the inverse correlation is accompanied by the occurrence of violent fluctuations in the same direction on the shared loop, unidirectional amplification information of the shared loop is obtained; based on the unidirectional amplification information of the shared loop, analyzing the self-sustaining and diffusion process of the violent fluctuations in the same direction within the system; when the amplitude of pressure and flow oscillations no longer decays and the oscillation range expands from the local temperature zone to all temperature zone loops, the flow instability information set characterizing the entire system entering a state of continuous instability is obtained.

[0080] Optionally, when analyzing the inverse correlation between the risk information abrupt changes in different temperature zones and the risk states of adjacent temperature zones, the flow instability analysis module 302 is specifically used for: based on the dynamic interference information, analyzing the reverse change process of the liquid phase inrush risk information in the freezing zone when the gas phase evacuation risk information in the refrigeration zone intensifies, to obtain refrigeration-to-freezing reverse inhibition information; based on the reverse inhibition information, analyzing the reverse change process of the gas phase evacuation risk information in the refrigeration zone when the liquid phase inrush risk information in the freezing zone intensifies, to obtain freezing-to-refrigeration reverse inhibition information; integrating the refrigeration-to-freezing reverse inhibition information and the freezing-to-refrigeration reverse inhibition information to construct the inverse correlation.

[0081] Optionally, when analyzing the self-sustaining and diffusion process of the unidirectional violent fluctuations within the system, the flow instability analysis module 302 is specifically used for: analyzing the impact information of the unidirectional violent fluctuations after they are triggered within the shared loop, thereby amplifying the next unidirectional fluctuation, based on the unidirectional amplification information of the shared loop, to obtain oscillation positive feedback information; based on the oscillation positive feedback information, combined with the reverse correlation, analyzing the process information of the continuous enhanced oscillations within the shared loop forcing the independent loop operating base points of the refrigerated zone and the frozen zone to drift through pressure transmission and capacity competition, to obtain global forced synchronization information characterizing the self-sustaining process; based on the global forced synchronization information, analyzing the process information of the effects of independent temperature zone adjustment commands being periodically covered and reset under the global synchronous oscillation state, to obtain steady-state recovery failure information including the diffusion process; wherein, the steady-state recovery failure information is used to construct the flow instability information set.

[0082] Optionally, the instruction conflict analysis module 303, during the construction of the multi-objective control conflict information set, is specifically used for: based on the global forced synchronization information, analyzing the real-time opposition between the control action required by the anti-vacuum control command in the refrigeration zone and the control action required by the anti-liquid phase liquid hammer control command in the freezing zone under the global synchronous oscillation state, to obtain instruction mutual exclusion information; based on the instruction mutual exclusion information, combined with the oscillation positive feedback information, analyzing the process of mutually exclusive control actions being cyclically superimposed and amplified in the oscillation cycle of the shared loop, to obtain mutual exclusion cycle information; based on the mutual exclusion cycle information, combined with the steady-state recovery failure information, analyzing the process by which mutually exclusive and continuously deteriorated control actions cause the independent adjustment targets of the refrigeration zone and the freezing zone to be unachievable, and prevent the air conditioning compressor from escaping the continuous unstable state, to obtain conflict deadlock information; and integrating the instruction mutual exclusion information, the mutual exclusion cycle information, and the conflict deadlock information to construct the multi-objective control conflict information set.

[0083] Optionally, when the dynamic strategy control module 304 generates a dynamic control strategy based on the multi-objective control conflict information set and outputs the dynamic adjustment log of the air conditioning compressor, it is specifically used to: analyze the specific location and intensity of the strongest antagonistic effect on the shared loop based on the conflict deadlock information and the instruction mutual exclusion information, and obtain pressure oscillation node information characterizing the control entry point; based on the pressure oscillation node information and combined with the global forced synchronization information, analyze the compressor's basic displacement benchmark point that can simultaneously control the pressure loss in the refrigeration zone and the liquid inflow in the freezing zone, and obtain displacement operation benchmark information for arbitrating conflicts; based on the displacement operation benchmark information, generate and execute the dynamic control strategy according to the conflict intensity reflected in real time by the pressure oscillation node information, and output the dynamic adjustment log of the air conditioning compressor.

[0084] The system in this embodiment can be used to execute the methods of any of the above embodiments, and its implementation principle and technical effect are similar, so they will not be described again here.

Claims

1. A dynamic adjustment method for an air conditioning compressor adapted to a wide temperature range working fluid, characterized in that, include: Obtain the air conditioning compressor information set of the multi-temperature zone compartment. Based on the air conditioning compressor information set, analyze the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under wide temperature range working fluid, and obtain the phase risk information set. Based on the aforementioned phase risk information set, the coupling effect of local flow regime changes in each temperature zone caused by vehicle motion amplified by the shared loop on the pressure and flow oscillations of the entire system is analyzed to obtain the flow instability information set. The local fluid state mutation is a sudden change in the flow state of the working fluid within each temperature zone caused by vehicle movement; Shared loop amplification is the process by which a shared loop in each temperature zone transmits and amplifies the effects of local flow regime changes. Based on the fluid instability information set, the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase liquid hammer control command caused by the coupling effect is analyzed to obtain a multi-objective control conflict information set. Based on the multi-objective control conflict information set, a dynamic control strategy is generated, and a dynamic adjustment log of the air conditioning compressor is output. The process of constructing the phase risk information set includes: The air conditioner compressor information set includes compressor suction pressure, compressor discharge temperature, and refrigerant circulation flow rate; Based on the compressor suction pressure, the pressure change of the compressor suction pressure during operation in the cold storage area is analyzed. When it is identified that the pressure drop trend is irreversible and has no periodic recovery characteristics, the risk information of gas phase evacuation is obtained. Based on the compressor discharge temperature and the refrigerant circulation flow rate, the coordinated changes of the compressor discharge temperature and the refrigerant circulation flow rate during operation in the refrigeration zone are analyzed. When it is identified that the decrease in the compressor discharge temperature dominates the fluctuation pattern of the refrigerant circulation flow rate, liquid phase intrusion risk information is obtained. By integrating the gas phase evacuation risk information and the liquid phase inrush risk information, the phase risk information set is constructed. The process of constructing the flow instability information set includes: Based on the gas phase evacuation risk information and the liquid phase inrush risk information, the synchronous suddenness and alternating dominance characteristics in the time dimension are analyzed. When the two types of risk information are identified to appear in an uncontrolled and dense alternation, dynamic interference information characterizing the disturbance caused by vehicle movement is obtained. Based on the dynamic interference information, the inverse correlation between the risk information abrupt change in different temperature zones and the risk status of adjacent temperature zones is analyzed. When it is identified that the risk of gas phase evacuation in the refrigeration zone increases while the risk of liquid phase inflow in the freezing zone decreases, and the inverse correlation causes violent fluctuations in the same direction on the shared loop, the unidirectional amplification information of the shared loop is obtained. Based on the unidirectional amplification information of the shared loop, the self-sustaining and diffusion process of the violent unidirectional fluctuations in the system is analyzed. When it is identified that the amplitude of pressure and flow oscillations no longer decays and the oscillation range expands from the local temperature zone to all temperature zone loops, the flow instability information set characterizing the entire system entering a continuous instability state is obtained. The analysis of the inverse correlation between abrupt changes in risk information in different temperature zones and the risk status of adjacent temperature zones includes: Based on the dynamic interference information, the reverse change process of the liquid phase inrush risk information in the freezing zone is analyzed when the gas phase evacuation risk information in the refrigeration zone intensifies, thus obtaining reverse suppression information from refrigeration to freezing. Based on the reverse inhibition information, the reverse change process of the gas phase evacuation risk information in the cold storage area is analyzed when the risk information of liquid phase intrusion in the freezing area intensifies, and the reverse inhibition information from freezing to cold storage is obtained. By integrating the refrigeration-to-freezing reverse inhibition information and the freezing-to-refrigeration reverse inhibition information, the reverse association is constructed. The analysis of the self-sustaining and diffusion process of the aforementioned unidirectional violent fluctuations within the system includes: Based on the unidirectional amplification information of the shared loop, the influence of the severe unidirectional fluctuation triggered in the shared loop on the amplification of the next unidirectional fluctuation is analyzed to obtain oscillation positive feedback information. Based on the oscillation positive feedback information and combined with the reverse correlation, the process information of the continuous enhanced oscillation in the shared loop, through pressure transmission and capacity competition, forces the independent loop operating base point of the refrigeration zone and the freezing zone to drift, and thus obtains the self-maintaining global forced synchronization information. Based on the global forced synchronization information, the process information of the effect of independent adjustment command of each temperature zone being periodically covered and reset under the global synchronous oscillation state is analyzed to obtain steady-state recovery failure information including the diffusion process. The steady-state recovery failure information is used to construct the flow instability information set.

2. The method according to claim 1, characterized in that, The analysis of the compressor suction pressure changes during operation in the refrigeration zone includes: Based on the compressor suction pressure, and according to the preset refrigeration zone set temperature, the real-time deviation of the compressor suction pressure relative to the saturation pressure corresponding to the refrigeration zone set temperature is analyzed. When it is identified that the real-time deviation continues to increase and has no convergence trend, suction pressure abnormality information is obtained. Based on the abnormal intake pressure information, the pressure drop rate is analyzed as a function of the compressor running time. When the pressure drop rate is identified to exhibit a stepwise acceleration characteristic within a unit time, irreversible pressure loss information is obtained. Based on the irreversible pressure loss information, the evolution of the minimum pressure value within adjacent fluctuation cycles is analyzed. When the characteristic that the minimum pressure value of each cycle decreases successively and does not periodically recover to the baseline level is identified, the pressure change is obtained.

3. The method according to claim 2, characterized in that, The analysis of the coordinated changes in the compressor discharge temperature and the refrigerant circulation flow rate during operation in the refrigeration zone includes: Based on the compressor exhaust temperature, and according to the preset freezing zone set temperature, the variation characteristics under the preset freezing zone set temperature are analyzed. When it is identified that the compressor exhaust temperature exhibits an uncontrolled and continuous decrease and the rate of decrease exceeds a preset threshold, exhaust temperature abnormality information is obtained. Based on the abnormal exhaust temperature information and the refrigerant circulation flow rate, the temporal relationship between flow rate fluctuation and temperature drop is analyzed. When the peak and trough times of flow rate fluctuation are identified as having a locking and following characteristic with the inflection point of the phased decrease in compressor exhaust temperature, the flow rate is clamped by temperature information. Based on the information that the flow rate is constrained by temperature, the decay pattern of flow rate fluctuation during the continuous cooling phase is analyzed. When it is identified that the amplitude of flow rate fluctuation is suppressed and shrinks as the temperature decreases, and loses its autonomous regulation activity, the coordinated change is obtained.

4. The method according to claim 3, characterized in that, The process of constructing the multi-objective control conflict information set includes: Based on the global forced synchronization information, the real-time conflict between the control action required by the anti-vacuum control command in the refrigeration zone and the control action required by the anti-liquid phase liquid hammer control command in the freezing zone under the global synchronous oscillation state is analyzed to obtain command mutual exclusion information. Based on the instruction mutual exclusion information and combined with the oscillation positive feedback information, the process of mutual exclusion control being cyclically superimposed and amplified in the oscillation period of the shared loop is analyzed to obtain mutual exclusion cyclic information. Based on the mutually exclusive loop information and the steady-state recovery failure information, the process of mutually exclusive and continuously deteriorating control actions causing the independent adjustment targets of the refrigeration zone and the freezing zone to be unattainable, and the air conditioning compressor to be unable to escape the continuous unstable state, is analyzed to obtain conflict deadlock information. By integrating the instruction mutual exclusion information, the mutual exclusion loop information, and the conflict deadlock information, the multi-objective control conflict information set is constructed.

5. The method according to claim 4, characterized in that, The process of generating a dynamic control strategy based on the multi-objective control conflict information set and outputting a dynamic adjustment log of the air conditioning compressor includes: Based on the conflict deadlock information and the instruction mutual exclusion information, the specific location and intensity of the strongest antagonistic effect on the shared loop are analyzed to obtain the pressure oscillation node information that characterizes the control entry point. Based on the pressure oscillation node information and combined with the global forced synchronization information, the compressor basic displacement benchmark point that can simultaneously control the pressure loss in the refrigeration area and the liquid inflow in the freezing area is analyzed to obtain the displacement operation benchmark information for arbitration of conflicts. Based on the displacement operating baseline information, and according to the conflict intensity reflected in real time by the pressure oscillation node information, the dynamic control strategy is generated and executed, and the dynamic adjustment log of the air conditioning compressor is output.

6. A dynamic adjustment system for an air conditioning compressor adapted to a wide temperature range of refrigerants, characterized in that, The method applied to any one of claims 1-5 includes: The phase risk analysis module is used to acquire the air conditioning compressor information set of the multi-temperature zone compartment. Based on the air conditioning compressor information set, it analyzes the risk of gas phase evacuation caused by the air conditioning compressor in the refrigeration zone and the risk of liquid phase inrush caused by the air conditioning compressor in the freezing zone under wide temperature range working fluid, and obtains the phase risk information set. The flow instability analysis module is used to analyze the coupling effect of local flow regime changes in each temperature zone caused by vehicle motion amplified by the shared loop on the pressure and flow oscillation of the entire system based on the phase risk information set, and to obtain the flow instability information set. The command conflict analysis module is used to analyze the conflict information between the anti-gas phase evacuation control command and the anti-liquid phase liquid hammer control command caused by the coupling effect based on the fluid instability information set, and obtain a multi-target control conflict information set. The dynamic strategy control module is used to generate a dynamic control strategy based on the multi-objective control conflict information set and output the dynamic adjustment log of the air conditioning compressor.

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