Bus voltage regulating method, compressor, and computer readable storage medium

Abstract

The application discloses a bus voltage regulation method, a compressor and a computer readable storage medium, wherein the bus voltage regulation method comprises the following steps: obtaining compressor parameters, temperature parameters, running state parameters and electrical parameters of a target device to generate collection data; determining the working state of the compressor based on the collection data; wherein the working state comprises a light load state, a normal load state, a heavy load state or an overload state; generating a predicted bus voltage based on the working state of the compressor and historical collection parameters; determining the current bus voltage by using the working state of the compressor and the predicted bus voltage, and performing voltage regulation according to the current bus voltage. The application can dynamically match the compressor load demand to reduce switching loss, evenly distribute the running loss to improve thermal management, and actively adjust in advance according to the voltage demand to enhance the electrical control reliability.

Description

Technical Field

[0001] This application relates to the field of motor control technology, and in particular to a method for regulating bus voltage, a compressor, and a computer-readable storage medium. Background Technology

[0002] With the increasing demands for energy efficiency in air conditioning systems, the compressor, as a core component, directly impacts the overall performance of the system through its operating efficiency and reliability. Current technologies generally employ fixed bus voltage control, which maintains the DC voltage supplied to the inverter within a single or narrow preset range under various operating conditions.

[0003] However, this strategy has significant drawbacks; it cannot achieve energy efficiency across all operating conditions. Excessive voltage at low frequencies increases switching losses, while insufficient voltage at high frequencies limits high-speed operation. Simultaneously, a fixed voltage results in uneven loss distribution, exacerbating localized overheating and threatening the reliability of the electronic control system. Furthermore, the system's dynamic response is sluggish in the face of sudden load changes. Moreover, its protection mechanism is reactive and lacks prediction and pre-emptive control of device health, making it difficult to meet current requirements for high system efficiency, high reliability, and intelligence. Summary of the Invention

[0004] This application provides a method for regulating bus voltage, a compressor, and a computer-readable storage medium to solve the technical problems of low efficiency, difficult thermal management, poor dynamic response, and insufficient protection functions in compressor bus voltage control.

[0005] To address the aforementioned technical problems, this application provides a method for regulating bus voltage, a compressor, and a computer-readable storage medium, comprising: acquiring compressor parameters, temperature parameters, operating status parameters, and electrical parameters of a target device, and generating collected data; determining the operating status of the compressor based on the collected data; wherein the operating status includes light load status, normal load status, heavy load status, or overload status; generating a predicted bus voltage based on the compressor's operating status and historical collected data; and determining the current bus voltage using the compressor's operating status and the predicted bus voltage, and regulating the voltage according to the current bus voltage.

[0006] The step of generating a predicted bus voltage based on the compressor's operating status and historical data includes: using the compressor's operating status and historical data to predict changes in the bus voltage; and generating a predicted bus voltage based on the changes in the data and the compressor's operating parameters.

[0007] The step of predicting changes in bus voltage using the compressor's operating status and historical data includes: predicting changes in compressor pressure, temperature, and load based on operating status and historical data; and generating a predicted bus voltage based on the changes and compressor operating parameters, including: predicting changes in compressor power based on load parameters from historical data and compressor operating parameters; and generating a predicted bus voltage using the compressor's pressure, temperature, load changes, and power.

[0008] The steps of determining the current bus voltage and adjusting the voltage according to the current bus voltage by using the compressor's operating status and predicted bus voltage include: obtaining the compressor's operating speed based on the operating status and predicted bus voltage; and adjusting the current bus voltage according to the operating speed.

[0009] The step of adjusting the current bus voltage according to the operating speed includes: if the operating speed is lower than a first preset speed, adjusting the bus voltage to be greater than or equal to the first preset voltage and less than the second preset voltage; if the operating speed is greater than or equal to the first preset speed and less than the second preset speed, adjusting the bus voltage to be greater than or equal to the second preset voltage and less than the third preset voltage; if the operating speed is greater than or equal to the second preset speed and less than the third preset speed, adjusting the bus voltage to be greater than or equal to the third preset voltage and less than the fourth preset voltage; if the target equipment meets the ultimate performance requirements, adjusting the bus voltage to be greater than or equal to the fourth preset voltage and less than or equal to the fifth preset voltage.

[0010] The steps of determining the current bus voltage and adjusting the voltage according to the current bus voltage by using the compressor's operating status and predicted bus voltage also include: optimizing the current bus voltage by using a preset magnetic weakening coordination surface and a rotary matrix pulsation compensation algorithm, and adjusting the current bus voltage output by PWM.

[0011] The compressor parameters include at least intake pressure and exhaust pressure. The step of determining the compressor's operating state based on the collected data includes: calculating the compressor's pressure ratio based on the intake pressure and exhaust pressure, where the pressure ratio is the ratio of exhaust pressure to intake pressure; and determining the compressor's operating state based on the pressure ratio.

[0012] The step of determining the compressor's operating state based on the pressure ratio includes: if the pressure ratio is less than a first preset pressure ratio, the compressor is determined to be in a light load state; if the pressure ratio is greater than or equal to the first preset pressure ratio and less than a second preset pressure ratio, the compressor is determined to be in a normal load state; if the pressure ratio is greater than or equal to the second preset pressure ratio and less than a third preset pressure ratio, the compressor is determined to be in a heavy load state; and if the pressure ratio is greater than or equal to the third preset pressure ratio, the compressor is determined to be in an overload state.

[0013] The steps of acquiring compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target equipment and generating collected data include: establishing a hierarchical protection mechanism, determining the fault type of the target equipment based on the collected data and the operating status of the target equipment, and implementing corresponding protection measures.

[0014] The steps of establishing a graded protection mechanism, which determines the fault type of the target equipment based on the collected data and the operating status of the target equipment, and implements corresponding protection measures, include: if the bus voltage of the target equipment is higher than the first threshold voltage, the target equipment reduces the bus voltage to a safe threshold range; if the bus voltage of the target equipment is higher than the first threshold voltage for a period of time longer than a first set time, the target equipment performs shutdown protection; if the bus voltage of the target equipment is lower than the second threshold voltage, the target equipment performs undervoltage protection; if the temperature of the electrical control board of the target equipment is higher than the first threshold temperature but lower than the second threshold temperature, the target equipment performs derating operation and / or overheat protection; if the temperature of the electrical control board of the target equipment is higher than the second threshold temperature, the target equipment performs shutdown protection.

[0015] To solve the above-mentioned technical problems, this application provides a compressor, including: an electronic control board and a processor, wherein the electronic control board is configured to store program instructions, and the stored program instructions can be executed by its processor to implement the bus voltage regulation method as described above.

[0016] To address the aforementioned technical problems, this application provides a computer-readable storage medium storing program data that can be executed to implement the bus voltage regulation method as described above.

[0017] The beneficial effects of this application are as follows: This application provides a method for regulating bus voltage. It generates collected data by acquiring compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target equipment; based on the collected data, it determines the compressor's operating status, including light load, normal load, heavy load, or overload; based on the compressor's operating status and historical collected parameters, it generates a predicted bus voltage; using the compressor's operating status and the predicted bus voltage, it determines the current bus voltage and regulates the voltage accordingly, enabling the system to dynamically match the compressor's load demand, thereby reducing switching losses and improving efficiency. Simultaneously, it evenly distributes operating losses, which is beneficial for improving thermal management. Furthermore, by predicting voltage demand in advance and proactively adjusting it, the system can actively protect itself, thereby enhancing the reliability of electrical control. Attached Figure Description

[0018] Figure 1 This is a flowchart illustrating one embodiment of the bus voltage adjustment method provided in this application;

[0019] Figure 2 This is a schematic flowchart of another embodiment of the bus voltage adjustment method provided in this application;

[0020] Figure 3 This is a flowchart illustrating a specific embodiment of the bus voltage adjustment method provided in this application;

[0021] Figure 4 This is a schematic diagram of one embodiment of the compressor provided in this application;

[0022] Figure 5 This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. Detailed Implementation

[0023] 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 embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0024] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0025] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. If the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0026] Please see Figure 1 , Figure 1 This is a flowchart illustrating one embodiment of the bus voltage adjustment method provided in this application.

[0027] S11: Obtain the compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target device, and generate the collected data.

[0028] A pressure detection device is used to monitor parameters such as the compressor's intake pressure and exhaust pressure in real time. A temperature detection device acquires temperature parameters such as ambient temperature, electronic control board temperature, and motor temperature from multiple points. An operating status monitoring device is used to detect operating status parameters such as compressor operating speed, load size, and vibration. An electrical parameter detection device monitors electrical parameters such as bus voltage, operating current, and power in real time. The parameter data collected by various devices are used to generate collected data. Specifically, the pressure detection device can install pressure sensors at the compressor's suction port or suction line, providing signals to calculate the evaporation pressure, thus obtaining the compressor's intake pressure. Similarly, a pressure sensor can be installed at the compressor's discharge port or discharge line, providing signals to calculate the condensation pressure, thus obtaining the compressor's discharge pressure. The temperature detection device uses thermocouples or thermistors installed near the compressor's discharge port to obtain the discharge temperature, monitors the casing temperature using a thermistor in close contact with the compressor casing, and indirectly monitors the junction temperature of power devices by installing temperature sensors on the power module heat sink of the control board. The operating status monitoring device detects the rotor position and speed using a rotary transformer or Hall sensor built into the motor, and estimates the real-time load torque based on a motor current and speed model. Optionally, a vibration sensor can be installed on the compressor casing to monitor abnormal mechanical vibrations. The electrical parameter detection device samples the bus voltage through a resistive voltage divider network connected to the DC bus, and uses a Hall current sensor or sampling resistor circuit to sample and calculate the operating current of the drive motor in real time.

[0029] Furthermore, the collected data can be analyzed to determine whether the target equipment is in a faulty state and to implement corresponding protective measures. Specifically, a protection and health management module is set up, integrating a fault early warning device, a graded protection device, a life assessment device, and an intelligent diagnostic device. Among them, the fault early warning device tracks the changing trends of key parameters in real time, such as the load change rate, temperature rise rate, and vibration energy growth trend. It can identify abnormal signs before the parameters reach the safety threshold. For example, when the load is detected to be rising continuously at a rate exceeding the set slope, the device will issue an early warning of "accelerated load increase" so that the system can reduce potential risks through pre-adjustment. The graded protection device establishes a three-level protection mechanism of early warning, warning, and emergency shutdown. For example, when the monitored parameters show an abnormal trend but do not exceed the safety threshold, the early warning protection mechanism is triggered. For example, when the deviation of the exhaust temperature from the theoretical value exceeds 10°C but does not reach 15°C for the first time, the device will mark the system status as "caution" and actively intervene by fine-tuning the control parameters, such as reducing the target frequency by 3-5% or appropriately lowering the bus voltage, without interrupting normal operation. When the key parameters exceed the safe operating range, the device will intervene in the system. The system triggers a warning protection mechanism when the operating range is within the dangerous limit, such as when the bus voltage ripple rate exceeds 8% for 5 seconds. The device will force the system into a restricted operating mode. It will also trigger an instantaneous shutdown protection mechanism when a dangerous state that may immediately damage the equipment is detected, such as when the exhaust temperature exceeds the hardware safety limit of 115°C. The life assessment device evaluates the remaining life of the control board based on the usage and temperature stress of key components. For example, it records the junction temperature fluctuation of the power module of the control board, the number of switching operations, and the bus voltage stress to calculate the cumulative thermal fatigue damage and thus obtain the remaining service life of the control board. The intelligent diagnostic device comprehensively analyzes the collected parameters to determine the system operating status and fault type. For example, when the collected bus voltage exceeds the preset safe voltage and lasts for more than the preset threshold, it determines that the system is in an undervoltage operating state and performs undervoltage protection.

[0030] S12: Based on the collected data, determine the operating status of the compressor; the operating status includes light load status, normal load status, heavy load status or overload status.

[0031] During compressor operation, the ratio of discharge pressure to intake pressure, or pressure ratio, is calculated based on real-time collected discharge and intake pressure data. Based on the pressure ratio range, the compressor's operating state can be categorized into four types: light load, normal load, heavy load, and overload. Specifically, when the pressure ratio is lower than the first preset pressure ratio (e.g., less than 1.8), the compressor is considered to be in a light load state, typically characterized by a small indoor-outdoor temperature difference and low system load. When the pressure ratio is greater than or equal to the first preset pressure ratio and less than the second preset pressure ratio (e.g., between 1.8 and 2.8), the compressor is considered to be in a normal load state. When the pressure ratio is greater than or equal to the second preset pressure ratio and less than the third preset pressure ratio (e.g., between 2.8 and 4.0), the compressor is considered to be in a heavy load state, often used for high-temperature cooling or low-temperature heating. When the pressure ratio is greater than or equal to the third preset pressure ratio (e.g., exceeding 4.0), the compressor is considered to be in an overload state. The preset pressure ratio can be set and adjusted based on the specific compressor model, the type of refrigerant used, and the system's design objectives. For example, for low-temperature heat pump systems, the pressure ratio range under normal load conditions may generally shift upwards.

[0032] In addition, other methods can be combined to further comprehensively determine the compressor's operating status. For example, while acquiring the pressure ratio, the real-time speed data of the compressor can be analyzed simultaneously, and the operating status can be judged in conjunction with the compressor's preset performance curve. Specifically, when the compressor is operating at high frequency, such as when the compressor speed is higher than 80% of the rated value, if the pressure ratio is 3.0, and it is between the second and third preset pressure ratios, it is determined to be a heavy load state. At this time, combined with the compressor speed, the operating status of the compressor can be adjusted to determine an overload state. Alternatively, based on the preliminary determination of the operating status through the pressure ratio, a comprehensive judgment can be made by combining the exhaust temperature and intake temperature from the collected data. Specifically, the exhaust temperature is compared and analyzed with the theoretical exhaust temperature calculated based on the current pressure ratio and intake temperature. When the actual exhaust temperature is significantly higher than the theoretical value, if the current pressure ratio initially determines a medium load state, it can be further confirmed that the compressor is handling an overload state.

[0033] S13: Generate a predicted bus voltage based on the compressor's operating status and historical data.

[0034] The system acquires the compressor's operating status and historical data, predicts changes in key parameters within a set timeframe, and generates a predicted bus voltage. Specifically, it analyzes the operating cycles in historical data to adaptively set the time window for predicting future key parameter changes, for example, a setting of 5-10 minutes. The set time can also be determined based on a comprehensive evaluation of factors such as system thermal inertia (e.g., the response delay of temperature parameters to load changes), typical load fluctuation cycles (e.g., speed variation patterns identified through spectral analysis), and fault evolution time scales (e.g., the typical duration of pressure ratio from warning to danger). Simultaneously, the system can establish an intelligent prediction and optimization decision module, integrating trend prediction, load demand prediction, efficiency optimization, and optimal voltage decision-making devices to predict changes in key parameters and generate a predicted bus voltage. Among them, the trend prediction device, based on historical data and current compressor real-time operating status parameter data, uses time series analysis and machine learning algorithms to predict the evolution trajectory of key parameters such as pressure ratio, exhaust temperature, and system load within a future set time period; the load demand prediction device, by analyzing ambient temperature change trends, user-defined mode adjustment patterns, and compressor operating patterns such as the compressor's own operating system efficiency graph, and can also combine the output results of the trend prediction device, comprehensively predicts the compressor's power demand within a future set time period, providing load input for subsequent voltage decisions; the efficiency optimization device can have a built-in full-condition efficiency model and loss graph of the compressor system. Based on the future operating condition parameters provided by the trend prediction device and the load demand prediction device, the expected total losses within a set time period are dynamically calculated under different candidate bus voltages, such as switching losses, copper losses, iron losses, and mechanical losses. An evaluation function with the goal of optimizing system efficiency is constructed to calculate the optimal balance point that saves energy while ensuring performance. The optimal voltage decision device can utilize the evaluation function output by the efficiency optimization device, while incorporating electrical safety boundaries such as power device withstand voltage and capacitor rated voltage, thermal safety constraints such as predicted junction temperature and exhaust temperature limits, and dynamic performance requirements such as field weakening speed-up capability and torque response requirements. Through a multi-objective optimization algorithm, the optimal bus voltage control curve within a set time period is calculated by comprehensively considering multiple factors such as efficiency, stability, and response speed.

[0035] S14: Utilize the compressor's operating status and predicted bus voltage to determine the current bus voltage and adjust the voltage accordingly.

[0036] Voltage regulation dynamically adjusts the bus voltage based on predicted voltage and the compressor's current operating state. Specifically, a coordinated control and intelligent regulation module is employed, integrating an automatic voltage regulation device, a field weakening coordinated control device, a smooth operation control device, and a parameter adaptive adjustment device. The automatic voltage regulation device receives the predicted bus voltage and uses the current operating state as operating constraints such as instantaneous load demand, device safety margins, and grid conditions to determine the specified target voltage value to be executed within the current control cycle. It can employ a high-dynamic-response voltage loop control algorithm, adjusting the PFC (Power Factor)... The power factor correction (PFC) circuit or DC-DC converter's duty cycle is used to quickly and accurately adjust the actual bus voltage to the target value. The field weakening coordination control device, when the system enters high-speed operation, calculates the required field weakening current in real time based on the speed and back EMF, and dynamically verifies whether the current bus voltage is sufficient to support the field weakening strategy. For example, if the voltage margin is insufficient, it requests a voltage boost from the automatic voltage regulator or suggests adjusting the speed command to prevent stalling or overcurrent due to voltage bottlenecks. The smooth operation control device, through designing voltage change rate limits, adopting smooth transition curves, and introducing feedforward compensation mechanisms, ensures that the bus voltage is within acceptable limits at different target values. When switching between values, parameters such as compressor speed, current, and vibration maintain a smooth transition to prevent sudden torque changes, noise, or mechanical stress caused by voltage step changes. The parameter adaptive adjustment device automatically optimizes control parameters based on actual operating results. For example, it continuously monitors the deviation between the voltage regulation effect and the expected target, and automatically fine-tunes the PID (Proportional-Integral-Derivative) parameters, field weakening curve coefficients, and key constants in the efficiency model of the control loop. This enables the entire adjustment module to maintain optimal control performance over a long period of time and adapt to the characteristic changes throughout the compressor's entire life cycle.

[0037] Furthermore, to enable the system to continuously optimize control performance, adapt to long-term operational changes, and possess self-evolution capabilities, a system coordination and intelligent learning module can be adopted, integrating a multi-objective coordination device, an experience learning device, an intelligent optimization device, and a digital simulation device. The multi-objective coordination device, based on a rule-based or reinforcement learning arbitration mechanism, performs online trade-offs and dynamic optimization among multiple objectives such as efficiency, dynamic response, thermal safety, and equipment lifespan, adjusting the weights of each objective in real time to generate optimal compromise instructions that satisfy multiple constraints, according to the system's current primary task, such as energy-saving mode or performance mode. The experience learning device systematically records successful control strategies and their performance results under specific operating condition combinations. For example, when the system operates under similar conditions again, the device can directly recommend or fine-tune historical optimal strategies through pattern matching and similarity calculation, thereby significantly improving decision-making speed and control quality. It can also address historical poor decisions. Data is labeled and avoided; intelligent optimization devices, based on historical parameter data of the system, take the overall energy efficiency of the system or specific performance indicators as optimization targets, and use optimization methods such as gradient descent and genetic algorithms to adjust PID parameters, field weakening curves, efficiency model coefficients, etc. online, so that the control system can adapt to the slow degradation of compressor performance or individual differences, and always maintain optimal or suboptimal control performance; digital simulation devices can build high-precision models of compressors and their control systems based on the physical characteristics, thermodynamic parameters and electrical characteristics of the compressor, and can run digital virtual systems in real time or offline for simulations such as forward verification of voltage decisions, parameter optimization and risk assessment.

[0038] Through the above steps, this embodiment enables the system to dynamically match the compressor load demand by predictive adjustment based on the working status and historical data, thereby reducing switching losses and improving efficiency. At the same time, the even distribution of operating losses is beneficial to improving thermal management. Finally, the system can proactively protect itself by predicting voltage demand in advance, thereby enhancing the reliability of electrical control.

[0039] Please see Figure 2 , Figure 2 This is a flowchart illustrating another embodiment of the bus voltage adjustment method provided in this application.

[0040] S21: Obtain the compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target device, and generate the collected data.

[0041] This step is the same as step S11 above. Please refer to the relevant description of step S11 for details, which will not be repeated here.

[0042] S22: Establish a graded protection mechanism to determine the fault type of the target equipment based on the collected data and the operational requirements of the target equipment, and implement corresponding protection measures.

[0043] After receiving the collected data, a comprehensive assessment is made based on the operational requirements of the target equipment to determine whether a fault exists. If a fault is identified, the fault type is determined, and corresponding protection measures are implemented. Operational requirements include at least extreme performance requirements, and collected data includes at least bus voltage and control board temperature. Specifically, if the target equipment fails to meet extreme performance requirements and the bus voltage exceeds a first threshold voltage, the bus voltage is reduced to a safe threshold range. If the target equipment meets extreme performance requirements but the bus voltage exceeds the first threshold voltage for a period longer than a first set time, the target equipment is shut down for protection. If the target equipment's bus voltage is lower than a second threshold voltage, undervoltage protection is implemented. If the control board temperature is greater than or equal to the first threshold temperature but less than the second threshold voltage, the target equipment is derated and / or overheated. If the control board temperature is higher than the second threshold temperature, the target equipment is shut down for protection. The first threshold voltage, second threshold voltage, first threshold temperature, second threshold temperature, and first set time can be determined comprehensively based on multiple factors such as system hardware limits, thermal design margins, control objectives, and safety regulations. For example, the threshold voltage can be set based on the rated voltage of the bus capacitor and the collector-emitter withstand voltage of the power switch. If the capacitor is rated at 450V and the switch withstand voltage is 600V, the protection threshold is set at a level with sufficient margin (e.g., 15-20%), such as setting the first threshold voltage at 400V. The threshold temperature can be set based on the upper limit of the optimal efficiency junction temperature range of the power device and the life-temperature curve of the critical electrolytic capacitor, such as setting the first threshold temperature to 80℃ and the second threshold temperature to 90℃.

[0044] In a specific application scenario, if the heatsink temperature of the control board exceeds 80°C, the system will determine that it is in an over-warning state. At this time, measures such as increasing the cooling fan speed, optimizing the PWM (Pulse-Width Modulation) switching mode, and slightly reducing the bus voltage will be taken to reduce heat generation and enhance heat dissipation from the source. If the environment continues to be harsh or the heat dissipation conditions deteriorate, and the heatsink temperature of the control board continues to rise to 90°C, the system will determine that it is in a thermal overload state and immediately activate the forced derating protection. By limiting the maximum output power and the highest operating frequency of the compressor, the heat source will be reduced to maintain the continuous operation of the equipment.

[0045] In another specific application scenario, if the DC bus voltage is detected to momentarily exceed 400V due to a grid surge, the system immediately triggers Level 1 overvoltage protection. By rapidly adjusting the duty cycle of the PFC circuit, the voltage is forcibly reduced, allowing it to return to normal within milliseconds. If the voltage exceeds the limit continuously for a preset time, such as 2 seconds, due to a persistently high grid voltage or a PFC fault, the system determines it as a continuous overvoltage fault and immediately escalates to Level 2 protection, initiating an orderly shutdown procedure and reporting an overvoltage fault code, thereby preventing damage to capacitors and power devices due to prolonged overvoltage. When a grid voltage drop or heavy load startup causes the bus voltage to fall below the undervoltage threshold, such as 200V, the system simultaneously executes maximum PFC voltage boost and output current limiting to reduce load.

[0046] S23: Calculate the compressor's pressure ratio based on the intake pressure and exhaust pressure, where the pressure ratio is the ratio of exhaust pressure to intake pressure; determine the compressor's operating state based on the pressure ratio.

[0047] Based on the collected compressor intake and exhaust pressures, the ratio of exhaust pressure to intake pressure is denoted as the pressure ratio. The compressor's operating state is determined based on the magnitude of this pressure ratio. The operating states include four types: light load, normal load, heavy load, and overload. Specifically, when the pressure ratio is less than a first preset pressure ratio (e.g., 2.0), the compressor is considered to be in a light load state; when the pressure ratio is greater than or equal to the first preset pressure ratio and less than a second preset pressure ratio (e.g., 3.5), the compressor is considered to be in a normal load state; when the pressure ratio is greater than or equal to the second preset pressure ratio and less than a third preset pressure ratio (e.g., 5.0), the compressor is considered to be in a heavy load state; and when the pressure ratio is greater than or equal to the third preset pressure ratio, the compressor is considered to be in an overload state.

[0048] In a specific application scenario, during the initial system startup, the pressure ratio is close to 1, indicating a light load state, and the compressor starts smoothly at a low frequency. As the room temperature drops rapidly, the pressure ratio rises to 2.75, entering a normal load state. The control system switches to maximum capacity output mode, increasing the frequency to accelerate cooling. When the room temperature approaches the set value and the system reaches steady state, the pressure ratio stabilizes at 2.5, the system maintains a normal load state, and actively switches to energy efficiency priority mode, achieving efficient and energy-saving operation by adjusting the frequency and voltage. If extreme high temperatures cause a sudden increase in condensing pressure, with the pressure ratio reaching 3.6, it is identified as a heavy load state. The system activates high-temperature protection while ensuring output, including enhanced heat dissipation and adaptive pressure boosting to prevent performance degradation. When the condenser is severely clogged, causing the pressure ratio to exceed 5.0 and accompanied by excessive exhaust temperature, the system is identified as overloaded, immediately triggering forced frequency reduction to attempt relief, and executing emergency shutdown protection and locking fault codes when parameters continue to deteriorate.

[0049] S24: Predict changes in bus voltage by using the compressor's operating status and historical data.

[0050] Based on the compressor's operating state, such as light load or normal load, and combined with the parameter evolution patterns under similar conditions in historical data, the system performs short-term predictions of key operating parameters in the bus voltage in real time. The changing data includes at least the compressor's pressure, temperature, and load changes. Specifically, the system determines the compressor's current operating state and simultaneously acquires core parameter data for that state, such as the current compressor pressure ratio, exhaust temperature, and load magnitude. Simultaneously, the system searches the historical data database for historical segments with the same state, similar initial parameter states, and similar operating backgrounds (such as ambient temperature and setpoints). For example, when the system is under light load and the current pressure ratio is 1.5, it searches for all records in the historical parameter data that started operating from "light load, pressure ratio ≈ 1.5," analyzes the change trajectory of key parameters in the historical parameter data, and statistically analyzes the evolution patterns of subsequent key parameters. In historical cases, a high similarity ratio (e.g., exceeding 80%) shows a common trend of "stable load increase, gradual pressure ratio increase, and rising exhaust temperature" over the next few minutes. This predicts that within a 5-10 minute period, the load and pressure ratio will increase slowly and in tandem. Furthermore, the system can predict changes in ambient temperature, control board temperature, and motor temperature using temperature monitoring devices and historical temperature data. For example, in a high-temperature environment (e.g., 35°C), it can predict a 5°C increase in control board temperature. It can also predict the magnitude of load changes using trend prediction devices and historical load data, such as predicting a gradual increase in load from light to normal during air conditioner startup. In addition, the system can use LSTM (Long Short-Term Memory) neural networks to process historical data to capture non-linear change patterns, such as establishing a dynamic weighting model for pressure ratio changes. Specifically, when an increase in ambient temperature is detected leading to an increase in load, the system first predicts an increase in pressure, temperature, and load, and then, combined with the current operating speed (e.g., compressor speed at 80%), predicts the power output, for example, using a linear regression model to calculate a 15% power increase. Finally, the system integrates pressure changes (reflecting mechanical load demand), temperature changes (reflecting thermal management status), and load changes (reflecting operating conditions), and uses intelligent optimization algorithms to calculate and predict bus voltage, for example, automatically reducing the voltage by 10V when the temperature rises to avoid overheating.

[0051] In a specific application scenario, when a user adjusts the set temperature from 28℃ to 24℃ in an outdoor environment of 32℃, the system detects that it is in a normal load state. The core parameters include a pressure ratio of 2.8, an exhaust temperature of 85℃, and an input power of 1800W. By matching the historical data of the same state and similar initial conditions, it is identified that the system has a very high probability of entering a heavy load working state in the next ten minutes, which will show a trend of continuous increase in pressure ratio, exhaust temperature exceeding 100℃, and a significant increase in power demand.

[0052] S25: Generates a predicted bus voltage based on changing data and compressor operating parameters.

[0053] Based on historically collected load parameters and compressor operating parameters, the system predicts compressor power changes. Based on these power changes and changes in key parameters, it predicts the target value of the bus voltage. Specifically, a load demand prediction device matches data sequences similar to the current operating conditions in a historical database. It analyzes the statistical patterns of power evolution with load and operating parameters such as operating frequency and speed within these sequences to predict power demand over a set timeframe. For example, it can identify a correlation pattern where "when the ambient temperature and set temperature difference continue to widen, and the pressure ratio shows an upward trend, the system power will increase by an average of 10% over the next 5 minutes." Through machine learning algorithms, the model integrates current parameter values ​​with historical evolution patterns to output the probability distribution and most likely trajectory of power changes over a future period. An intelligent prediction and optimization decision-making module, based on the predicted power changes, combines key parameter change data for comprehensive decision-making. This includes simultaneously analyzing predicted power change trends and predicted values ​​of other key parameters, such as speed demand, pressure ratio evolution, and device junction temperature changes calculated from a thermal model. The decision-making process can be optimized by integrating multiple objectives. The predicted power increase requires the bus voltage to provide corresponding energy supply capacity, while the predicted speed increase requires sufficient voltage margin to support field weakening control. The predicted temperature increase constitutes an upper limit constraint on voltage increase. At this point, the intelligent prediction and optimization decision-making module solves for the optimal voltage curve that meets the predicted performance requirements in the future period without violating safety constraints, and finally generates a sequence of target values ​​for the bus voltage. For example, if the predicted power will increase steadily, the speed demand will increase, and the thermal risk is controllable, the target voltage will be determined as a gradually increasing curve; if the predicted power will increase sharply but is accompanied by high temperature risk, the increase in the target voltage and its rate will be strictly limited.

[0054] In a specific application scenario, the system receives data such as ambient temperature, set temperature difference, and the compressor's current pressure ratio and speed. Combining this with historical data on similar operating conditions, the system predicts that within the next 5 minutes, the compressor's input power will steadily increase at a rate of 12%, the pressure ratio will rise from 2.8 to 3.3, and the speed requirement will increase by 15%. Based on this prediction, the system determines that to meet the upcoming power and speed increase demands while ensuring that the device's thermal limits are not exceeded, the bus voltage needs to be gradually increased from the current 320V to 345V.

[0055] S26: Based on the operating status and predicted bus voltage, obtain the compressor's operating speed; adjust the current bus voltage according to the operating speed.

[0056] The compressor's operating speed data can be acquired in real time through a monitoring device, and combined with the operating status and predicted bus voltage, a dynamic algorithm can calculate the compressor's precise operating speed. Alternatively, the operating speed can be directly obtained based on the compressor speed sensor output; or a machine learning model can be used to predict the operating speed based on historical operating data. The calculation parameters for the operating speed can also be dynamically adjusted according to the load change rate. The acquired operating speed serves as the core input, dynamically adjusting the current bus voltage. Specifically, depending on the compressor type, for variable frequency compressors, the operating speed is the actual speed of the drive motor or its percentage relative to the rated speed; for fixed speed compressors, the operating speed is the average duty cycle or capacity output percentage over a time period. Specifically, the system presets a first preset speed, a second preset speed, and a third preset speed as operating speed thresholds, and a first preset voltage, a second preset voltage, a third preset voltage, a fourth preset voltage, and a fifth preset voltage as bus voltage thresholds. After real-time monitoring of the operating speed, when the operating speed is lower than the first preset speed, the bus voltage is precisely adjusted to be above the first preset voltage and below the second preset voltage; when the operating speed is between the first and second preset speeds, the bus voltage is adjusted to be above the second preset voltage and below the third preset voltage; when the operating speed is between the second and third preset speeds, the bus voltage is adjusted to be above the third preset voltage and below the fourth preset voltage; when the target equipment requires extreme performance, the bus voltage is adjusted to be above the fourth preset voltage and below the fifth preset voltage. The preset speed and preset voltage can be set according to the hardware limits of the equipment, the performance goals of the system design, and the real-time control requirements. For example, the preset speed is divided according to the high-efficiency operating range of the compressor motor and the safety boundary of mechanical stress. For example, the low-speed range corresponds to smooth start-stop and high efficiency under light load, and the high-speed range corresponds to high-load output. The first preset speed can be set to 30% of the rated speed, the second preset speed to 80% of the rated speed, and the third preset speed to 120% of the rated speed. The preset voltage can be set comprehensively according to performance requirements and hardware equipment. The first preset voltage can be set to 200V, the second preset voltage to 280V, the third preset voltage to 340V, the fourth preset voltage to 380V, and the fifth preset voltage to 400V.

[0057] In a specific application scenario, the system dynamically executes a bus voltage regulation strategy based on the current state and the predicted bus voltage. Based on the rapidly increasing indoor-outdoor temperature difference and historical load response patterns, the prediction indicates that the compressor will transition from startup to a high-speed, heavy-load zone within 5 minutes, with a high probability of triggering the extreme performance mode. During the initial startup phase, when the compressor's actual operating speed is below 30% of its rated speed, the system presets the bus voltage to a low level of 240V to optimize energy efficiency, while simultaneously reserving a rapid increase capability for the upcoming acceleration. When the speed enters the medium-speed range (30%-80% of rated speed), the system precisely sets the voltage to 320V based on the predicted load growth curve, matching the current torque demand and providing a margin for subsequent high-speed operation. Subsequently, when the speed enters the high-speed range (80%-120% of rated speed) and the extreme performance mode, the bus voltage is increased to 370V according to the predicted path and ultimately reaches the predicted peak value of 395V, achieving a smooth transition of "voltage waiting for load."

[0058] S27: Optimize the current bus voltage using a preset field weakening coordination surface and a matrix pulsation compensation algorithm, and adjust the current bus voltage output via PWM.

[0059] The field weakening coordination surface is a pre-defined mathematical model. Inputs include bus voltage, speed, load, and motor flux. The output is an optimized voltage value, used to coordinate voltage regulation and field weakening control during high-speed operation. The rotary matrix pulsation compensation algorithm calculates compensation parameters based on torque pulsation data. Inputs are speed and torque pulsation signals, and the output is the compensation value. After determining the current bus voltage, the field weakening coordination surface processes high-speed conditions to optimize the voltage, ensuring that field weakening control requirements are met. The rotary matrix pulsation compensation algorithm analyzes torque pulsation data and generates compensation values. The combination of these two methods optimizes the voltage, which is then adjusted by the PWM control unit to achieve a smooth voltage transition. For example, the field weakening coordination surface sets the voltage to 380 volts to meet field weakening requirements, while the pulsation compensation algorithm calculates compensation values ​​to reduce vibration. During normal load operation, the pulsation compensation algorithm fine-tunes the voltage to smooth torque changes and avoid system shocks.

[0060] In a specific application scenario, when the speed increases to 6600 RPM and the magnetic flux needs to be actively reduced to maintain power output, the field weakening coordination control device calculates that the optimal voltage under the current operating condition is 380V. This ensures that sufficient back EMF margin is provided to support high-speed operation, while avoiding unnecessary surges in switching losses caused by excessively high voltage. The system integrates the 380V base optimized voltage output with the dynamic compensation value generated by the pulsation compensation algorithm, such as the adjustment amount within ±5V range, in real time to form the final fine-tuning voltage command. After the command is sent to the PWM control unit, the duty cycle of the switching devices is adjusted to make the current bus voltage accurately track this composite command.

[0061] Through the above steps, this embodiment enables the system to detect voltage fluctuation trends in advance by predicting changes in bus voltage, thereby further improving the timeliness of prediction. At the same time, by combining the predicted bus voltage with the operating parameters, the prediction results are more in line with the real-time operating conditions, which helps to reduce the lag and error of voltage regulation, thereby optimizing the dynamic response performance of the system. Furthermore, by calculating the compressor's operating speed based on the operating state and the predicted bus voltage, the system can respond more accurately to the real-time speed changes of the compressor. Finally, the accuracy of voltage regulation is further improved by using the weak magnetic compatibility surface and the rotation matrix pulsation compensation algorithm.

[0062] Please see Figure 3 , Figure 3 This is a flowchart illustrating a specific embodiment of the bus voltage adjustment method provided in this application.

[0063] S31: Check the ambient temperature, the temperature of the electronic control IPM module, and estimate the motor temperature.

[0064] The system first obtains the ambient temperature and the temperature of the electronic control IPM (Intelligent Power Module) module through temperature monitoring devices. For example, it uses an ambient temperature sensor to obtain external thermal environment data, and directly measures the temperature of the core power devices on the electronic control board through a thermistor embedded in the IPM module. At the same time, it estimates the motor winding temperature in real time based on the motor current, speed and running time through a thermal model algorithm.

[0065] S32: Detects compressor operating frequency, and integrates high pressure, low pressure, and load.

[0066] A motion monitoring device is used to monitor the compressor's operating frequency and load, and a pressure monitoring device is used to obtain the compressor's high-pressure (discharge pressure) and low-pressure (intake pressure) in real time. For example, the pressure monitoring device collects high-pressure and low-pressure data from the compressor's discharge port and intake port respectively to form a complete pressure situation diagram. The discharge pressure value of 2.8 MPa is obtained by reading the high-pressure side pressure sensor, and combined with the 85% load rate calculated by the electromagnetic torque model.

[0067] S33: Determine the compressor's operating status and predict future trends.

[0068] Based on the acquired high and low pressures, the ratio of high pressure to low pressure is recorded as the pressure ratio. According to preset threshold ranges, for example, a pressure ratio less than 2.0 indicates a light load, 2.0-3.2 indicates a normal load, 3.2-4.0 indicates a heavy load, and greater than 4.0 indicates an overload, the current operating state of the compressor is determined. Furthermore, the intelligent prediction module predicts the changing trends of key parameters within a set timeframe. For example, the trend prediction device in the intelligent prediction module can use time-series prediction algorithms such as LSTM to analyze current and historical data sequences to predict the changing trends of key parameters such as load, pressure, and temperature within the next 5-10 minutes. The load demand prediction device, combined with changes in ambient temperature and operating settings, calculates the power and torque demands for the same time period in the future.

[0069] S34: Calculate the range of the optimal bus voltage.

[0070] Based on the current operating status and predicted trends of key parameters, the optimization decision-making module, in conjunction with the coordinated control and intelligent adjustment modules, comprehensively calculates the target range of the bus voltage. For example, by referencing the compressor's full-condition efficiency spectrum and field weakening characteristic curve, the basic voltage boundary that meets the predicted requirements is determined. If the prediction indicates a heavy-load, high-speed operating condition, the voltage must be sufficient to support field weakening and speed expansion. Simultaneously, by combining the dynamic characteristics of the automatic voltage adjustment device and the field weakening coordinated control device, the voltage range is dynamically optimized and its smoothness is constrained. Ultimately, a target range of bus voltage is calculated that meets future performance requirements, achieves optimal operating efficiency, and ensures a smooth adjustment process. For example, during the predicted load ramp-up phase, the voltage range is determined to be 345V-365V.

[0071] S35: Detect the compressor's operating speed and determine the bus voltage range based on the speed.

[0072] The compressor's operating speed is obtained through a monitoring device, and the upper and lower limits of the bus voltage are finely adjusted according to different speed ranges to ensure a precise match between voltage commands and speed requirements. The speed range can be divided into low-speed operation, medium-speed operation, and high-speed operation. For example, low-speed operation occurs when the operating speed is less than 30% of the rated speed; medium-speed operation occurs when the operating speed is between 30% and 80% of the rated speed; and high-speed operation occurs when the operating speed is between 80% and 120% of the rated speed.

[0073] S36: Combines compressor load and electronic control board temperature to comprehensively regulate bus voltage.

[0074] Using real-time load fluctuations of the compressor and the temperature of the electronic control board (and estimated junction temperature) as dynamic constraints, the intelligent adjustment module performs final fine-tuning of the refined voltage range. After this multi-objective optimization, a safe, efficient, and responsive optimal bus voltage command is output and handed over to the PWM execution unit to complete closed-loop regulation. For example, under high load, priority is given to ensuring voltage supply, while under high temperature, the upper limit of voltage is appropriately limited to control losses and temperature rise.

[0075] Through the above steps, this embodiment achieves a comprehensive improvement in energy efficiency, performance, and reliability by sensing the compressor's operating condition in real time and predicting load changes, and dynamically adjusting the bus voltage. In addition, by combining prediction algorithms and gradient protection mechanisms, it proactively avoids risks such as overheating and overvoltage, and enhances operational stability and component lifespan.

[0076] Based on the same concept, this application also proposes a compressor capable of performing a bus voltage regulation method according to any of the above embodiments. Please refer to [link to relevant documentation]. Figure 4 , Figure 4 This is a schematic diagram of a compressor embodiment provided in this application. The compressor includes a processor 41 and an electronic control board 42.

[0077] The processor 41 is used to execute the program instructions stored in the control board 42 to implement the steps of any of the above-mentioned bus voltage regulation methods.

[0078] Specifically, processor 41 controls itself and electronic control board 42 to implement the steps of any of the above embodiments. Processor 41 may also be referred to as CPU (Central Processing Unit). Processor 41 may be an integrated circuit chip with signal processing capabilities. Processor 41 may also be a general-purpose processor, digital signal processor (DSP), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component. The general-purpose processor may be a microprocessor or any conventional processor. In addition, processor 41 may be implemented by integrated circuit chips.

[0079] Based on the same concept, this application also proposes a computer-readable storage medium, please refer to... Figure 5 , Figure 5This is a schematic diagram of an embodiment of the computer-readable storage medium provided in this application. The computer-readable storage medium 50 stores at least one program data 51, which is used to implement any of the methods described above. In one embodiment, the computer-readable storage medium 50 includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0080] In the several embodiments provided in this application, it should be understood that the disclosed methods and apparatus can be implemented in other ways. For example, the apparatus implementations described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0081] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment, depending on actual needs.

[0082] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0083] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product, which is stored in a storage medium.

[0084] The above are merely embodiments of this application and do not limit the scope of this patent application. Any equivalent structural or procedural changes made using the content of this application's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. A method of regulating bus voltage, characterized by, include: The compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target device are acquired, and the collected data is generated. Based on the collected data, the operating state of the compressor is determined; wherein, the operating state includes light load state, normal load state, heavy load state, or overload state; Based on the compressor's operating status and historical data, predict the compressor's changing data; wherein the changing data includes at least changes in pressure, temperature, load, and power. Based on the aforementioned change data, the expected total loss within a set time period is predicted, and an evaluation function with optimal efficiency as its objective is constructed. The optimal bus voltage control curve within a set time period is calculated using the evaluation function, and a predicted bus voltage is generated. Using the compressor's operating state and the predicted bus voltage, the current bus voltage is determined and voltage regulation is performed according to the current bus voltage.

2. The bus voltage regulating method according to claim 1, characterized by, The step of predicting changes in compressor data based on the compressor's operating status and historical data, wherein the changes in compressor data include at least the steps of pressure, temperature, load, and power changes, includes: Based on the operating status and the historical data collected, the pressure, temperature and load changes of the compressor are predicted; Based on the load parameters and operating parameters of the compressor from the historical data collected, the power variation of the compressor is predicted.

3. The bus voltage regulating method according to any one of claims 1 to 2, characterized by, The step of determining the current bus voltage and adjusting the voltage according to the current bus voltage using the operating state of the compressor and the predicted bus voltage includes: Based on the operating status, the operating speed of the compressor is obtained; The current bus voltage is adjusted based on the operating speed and the predicted bus voltage.

4. The bus voltage regulating method according to claim 3, wherein The step of adjusting the current bus voltage according to the operating speed includes: If the operating speed is lower than the first preset speed, the bus voltage is adjusted to be greater than or equal to the first preset voltage and less than the second preset voltage; If the operating speed is greater than or equal to the first preset speed and less than the second preset speed, adjust the bus voltage to be greater than or equal to the second preset voltage and less than the third preset voltage; If the operating speed is greater than or equal to the second preset speed and less than the third preset speed, adjust the bus voltage to be greater than or equal to the third preset voltage and less than the fourth preset voltage; If the target device meets the extreme performance requirements, adjust the bus voltage to be greater than or equal to the fourth preset voltage and less than or equal to the fifth preset voltage.

5. The bus voltage regulating method of claim 1, wherein The step of determining the current bus voltage and adjusting the voltage according to the current bus voltage using the operating state of the compressor and the predicted bus voltage further includes: The current bus voltage is optimized by using a preset magnetic weakening coordination surface and a matrix pulsation compensation algorithm, and the current bus voltage output is adjusted by PWM.

6. The bus voltage regulating method of claim 1, wherein The compressor parameters include at least the intake pressure and the exhaust pressure; The step of determining the operating status of the compressor based on the collected data includes: The pressure ratio of the compressor is calculated based on the intake pressure and the exhaust pressure, wherein the pressure ratio is the ratio of the exhaust pressure to the intake pressure; The operating state of the compressor is determined based on the pressure ratio.

7. The bus voltage regulating method according to claim 6, wherein The step of determining the operating state of the compressor based on the pressure ratio includes: If the pressure ratio is less than the first preset pressure ratio, the compressor is determined to be in the light load state; If the pressure ratio is greater than or equal to the first preset pressure ratio and less than the second preset pressure ratio, the compressor is determined to be in the normal load state. If the pressure ratio is greater than or equal to the second preset pressure ratio and less than the third preset pressure ratio, the compressor is determined to be in the heavy load state. If the pressure ratio is greater than or equal to the third preset pressure ratio, the compressor is determined to be in the overload state.

8. The bus voltage regulating method of claim 1, wherein, The step of acquiring the compressor parameters, temperature parameters, operating status parameters, and electrical parameters of the target device and generating the collected data includes: A graded protection mechanism is established to determine the fault type of the target device based on the collected data and the operating status of the target device, and to implement corresponding protection measures.

9. The bus voltage regulating method according to claim 8, wherein The step of establishing a hierarchical protection mechanism, which determines the fault type of the target device based on the collected data and the operating status of the target device, and implements corresponding protection measures, includes: If the bus voltage of the target device is higher than the first threshold voltage, the target device reduces the bus voltage to a safe threshold range; If the bus voltage of the target device is higher than the first threshold voltage for a period of time longer than a first set time, the target device will perform a shutdown protection. If the bus voltage of the target device is lower than the second threshold voltage, the target device performs undervoltage protection. If the temperature of the electronic control board of the target device is higher than the first threshold temperature and lower than the second threshold temperature, the target device will perform derating operation and / or overheat protection. If the temperature of the electronic control board of the target device is higher than the second threshold temperature, the target device will shut down for protection.

10. A compressor characterized by, The compressor includes an electronic control board and a processor, the electronic control board being configured to store program instructions that can be executed by its processor to implement the bus voltage regulation method as described in any one of claims 1 to 9.

11. A computer readable storage medium, characterized in that, The computer-readable storage medium stores program data that can be executed to implement the bus voltage regulation method as described in any one of claims 1 to 9.

Images