Frequency conversion speed regulation and energy efficiency optimization integrated system for air conditioner compressor of new energy automobile

Abstract

The invention relates to the technical field of new energy automobile air conditioners, and discloses a new energy automobile air conditioner compressor frequency conversion speed regulation and energy efficiency optimization integrated system which comprises a data sensing module used for determining the running state stability of a compressor based on the rotating speed fluctuation quantity; the strategy generation module is used for determining a speed regulation control strategy based on the stability and determining a rotating speed and power association relationship; the parameter regulation and control module is used for determining an energy efficiency optimization value judgment mode according to the power consumption rate based on a speed regulation strategy and determining the conformity of the energy efficiency optimization value judgment mode according to the response delay amount; the energy efficiency evaluation module determines the conformity of the rotating speed and the power according to the energy efficiency conversion ratio based on a speed regulation strategy; and the system correction module is used for correcting when the energy efficiency optimization value or the rotating speed is not consistent with the power. According to the system, frequency conversion speed regulation and energy efficiency optimization of the compressor are achieved, the operation stability, the refrigeration requirement matching degree and the energy efficiency level are improved, energy consumption is reduced, and the system plays an important role in prolonging the endurance mileage of a new energy automobile.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of new energy vehicle air conditioning, in particular to a new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system. BACKGROUND

[0002] Under the background of global energy crisis and increasingly stringent environmental protection requirements, new energy vehicles have developed rapidly due to their clean and energy-saving advantages. As an important part of new energy vehicles, the energy consumption performance of the air conditioning system directly affects the vehicle's range and energy utilization efficiency. The stability of the air conditioning compressor, which is the core component of the air conditioning system, the accuracy of the speed regulation and the energy efficiency level are the key.

[0003] Traditional automobile air conditioning compressor speed regulation and energy efficiency optimization technology faces many challenges when applied to new energy vehicles. On the one hand, the power supply characteristics of new energy vehicles differ from traditional fuel vehicles, with relatively large voltage fluctuations, which puts higher requirements on the variable frequency speed regulation system of the compressor. The traditional speed regulation strategy is difficult to maintain the stability of the compressor operating state in this complex power supply environment, and is prone to large speed fluctuations, which affects the refrigeration effect of the air conditioning system. On the other hand, new energy vehicles have more stringent energy efficiency requirements, and traditional energy efficiency optimization methods often do not fully consider the actual needs of the compressor under different operating conditions, resulting in poor energy efficiency optimization results, and the speed and power cannot be reasonably matched, causing energy waste.

[0004] The existing compressor control system lacks flexible and effective control strategies when facing different refrigeration demands. When the refrigeration demand changes, the speed and power cannot be quickly and accurately adjusted, resulting in low refrigeration demand matching, affecting the comfort of passengers in the vehicle, and increasing the energy consumption of the system. At the same time, traditional technology also has shortcomings in energy efficiency evaluation and system correction, and cannot accurately determine whether the energy efficiency conversion ratio meets the requirements in a timely manner. When the situation does not meet the requirements, effective correction measures cannot be taken according to the actual situation, making it difficult to effectively improve the energy efficiency of the system.

[0005] The traditional system does not fully consider the response delay in the parameter control process, and cannot adjust the energy efficiency optimization value determination method in a timely manner according to the change of the response delay, making it difficult to ensure the compliance of the energy efficiency optimization value, further affecting the overall energy efficiency of the system. With the continuous expansion of the new energy vehicle market and the continuous progress of technology, there is an urgent need for an air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system that can adapt to the characteristics of new energy vehicles to solve the above problems in traditional technology, improve the operating stability and energy efficiency of the compressor, and meet the high requirements of new energy vehicles for air conditioning systems. SUMMARY

[0006] The application aims to provide a new energy automobile air conditioner compressor variable frequency speed regulation and energy efficiency optimization integrated system to solve the problems in the background art.

[0007] To achieve the above-mentioned purpose, the application provides the following technical solution: a new energy automobile air conditioner compressor variable frequency speed regulation and energy efficiency optimization integrated system, which comprises: a data sensing module, which is used to determine the stability of the compressor operating state based on the speed fluctuation amount; a strategy generation module, which is connected with the data sensing module, is used to determine the speed regulation control strategy based on the stability of the compressor operating state, determine the correlation between the speed and the power according to the refrigeration demand matching degree under the corresponding speed regulation control strategy; a parameter regulation module, which is connected with the strategy generation module, is used to determine the energy efficiency optimization value determination mode according to the power consumption rate under the condition of the corresponding speed regulation control strategy, and determine the compliance of the energy efficiency optimization value according to the response delay amount in the adjustment process; an energy efficiency evaluation module, which is connected with the parameter regulation module, is used to determine the compliance of the speed and the power according to the energy efficiency conversion ratio of each working condition point under the condition of the corresponding speed regulation control strategy; a system correction module, which is connected with the parameter regulation module and the energy efficiency evaluation module, is used to determine the promotion optimization value according to the difference between the preset response delay amount and the actual response delay amount under the condition that the energy efficiency optimization value is not met, or determine the reduction of the power according to the difference between the energy efficiency conversion ratio and the preset conversion ratio under the condition that the energy efficiency optimization value is not met.

[0008] Preferably, the strategy generation module determines that the compressor operating state is stable based on the comparison result that the speed fluctuation amount is less than the preset fluctuation amount, determines that the higher the speed is, the lower the power is under the continuous speed regulation control strategy based on the comparison result that the refrigeration demand matching degree is greater than or equal to the preset matching degree, and determines the energy efficiency optimization value according to the comparison result of the power consumption rate and the preset consumption rate.

[0009] Preferably, the strategy generation module determines that the compressor operating state is unstable based on the comparison result that the speed fluctuation amount is greater than or equal to the preset fluctuation amount, determines that the higher the speed is, the higher the power is under the segmented speed regulation control strategy based on the comparison result that the refrigeration demand matching degree is greater than or equal to the preset matching degree, and determines the energy efficiency optimization value according to the comparison result of the power consumption rate and the preset consumption rate.

[0010] Preferably, the parameter regulation module determines that the energy efficiency optimization value does not meet the condition based on the comparison result that the response delay is greater than or equal to the preset delay, and determines to increase the optimization value by the first preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is less than or equal to the preset deviation.

[0011] Preferably, the parameter regulation module determines that the energy efficiency optimization value does not meet the condition based on the comparison result that the response delay is greater than or equal to the preset delay, and determines to increase the optimization value by the second preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is greater than the preset deviation.

[0012] Preferably, the system correction module determines that the speed and the power do not meet the condition based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio, and determines to increase the speed by the first preset speed adjustment coefficient based on the comparison result that the ratio of the energy efficiency conversion ratio to the preset conversion ratio is greater than or equal to the preset proportion, when the corresponding speed control strategy is executed on the compressor.

[0013] Preferably, the system correction module determines that the speed and the power do not meet the condition based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio, and determines to increase the speed by the second preset speed adjustment coefficient based on the comparison result that the ratio of the energy efficiency conversion ratio to the preset conversion ratio is less than the preset proportion, when the corresponding speed control strategy is executed on the compressor.

[0014] Preferably, the energy efficiency evaluation module determines that the speed and the power do not meet the condition based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio, and determines to decrease the power by the first preset power adjustment coefficient based on the comparison result that the difference between the energy efficiency conversion ratio and the preset conversion ratio is less than or equal to the preset difference, when the corresponding speed control strategy is executed on the compressor.

[0015] Preferably, the energy efficiency evaluation module determines that the speed and the power do not meet the condition based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio, and determines to decrease the power by the second preset power adjustment coefficient based on the comparison result that the difference between the energy efficiency conversion ratio and the preset conversion ratio is greater than the preset difference, when the corresponding speed control strategy is executed on the compressor.

[0016] Preferably, the system correction module determines that the speed and the power meet the condition based on the comparison result that the energy efficiency conversion ratio is equal to the preset conversion ratio, and keeps the current speed and power parameters unchanged, when the corresponding speed control strategy is executed on the compressor.

[0017] Compared with the prior art, the present application has the following beneficial effects: The system determines the stability of the compressor operating state based on the speed fluctuation amount through the data sensing module, which can accurately determine the operating condition of the compressor under different working conditions. When the speed fluctuation amount is less than the preset fluctuation amount, it can be determined that the compressor operating state is stable, otherwise it is not stable, which provides an accurate basis for the subsequent speed control strategy.

[0018] The strategy generation module is connected with the data sensing module, and determines the appropriate speed control strategy based on the stability of the compressor operating state. When the operating state is stable and the refrigeration demand matching degree is greater than or equal to the preset matching degree, the continuous speed control strategy is determined, so that the higher the speed, the lower the power; when the operating state is unstable and the refrigeration demand matching degree meets the condition, the segmented speed control strategy is determined, so that the higher the speed, the higher the power, which realizes flexible adjustment of the speed control strategy according to the actual operating state, improves the refrigeration demand matching degree, ensures that the refrigeration demand can be better met under different conditions, and improves the comfort in the vehicle.

[0019] The parameter control module determines the energy efficiency optimization value based on the corresponding speed control strategy according to the power consumption rate, and determines the compliance of the energy efficiency optimization value according to the response delay amount in the adjustment process. When the response delay amount is greater than or equal to the preset delay amount, the energy efficiency optimization value can be determined to be not in compliance in time, and different preset optimization adjustment coefficients are used to improve the optimization value according to the difference between the preset response delay amount and the actual response delay amount, which effectively ensures the rationality and accuracy of the energy efficiency optimization value and improves the energy efficiency of the system.

[0020] The energy efficiency evaluation module determines the compliance of the speed and power based on the energy efficiency conversion ratio of each working condition point based on the corresponding speed control strategy. When the energy efficiency conversion ratio is less than the preset conversion ratio, the speed and power can be accurately determined to be not in compliance, and different preset power adjustment coefficients are used to reduce the power according to the difference between the energy efficiency conversion ratio and the preset conversion ratio, so that the speed and power can be reasonably matched at each working condition point, and the energy efficiency of the system is further optimized.

[0021] The system correction module is connected with the parameter control module and the energy efficiency evaluation module, and when the energy efficiency optimization value is not in compliance, the optimization value is determined to be improved according to the difference between the preset response delay amount and the actual response delay amount; when the speed and power are not in compliance, the speed is determined to be improved or the power is determined to be reduced according to the ratio or difference between the energy efficiency conversion ratio and the preset conversion ratio, which realizes accurate correction of the system, so that the system can quickly recover to the best operating state, and improves the stability and reliability of the system.

[0022] Through the cooperative work of various modules, the integrated system realizes comprehensive and accurate control of the variable frequency speed regulation and energy efficiency optimization of the new energy vehicle air conditioner compressor, not only improves the stability of the compressor operating state and the matching degree of refrigeration demand, but also significantly improves the energy efficiency level of the system and reduces energy consumption, which is of great significance to prolong the cruising range of new energy vehicles, and also provides strong support for the development of new energy vehicle air conditioning technology. BRIEF DESCRIPTION OF DRAWINGS

[0023] Figure 1 a working principle diagram of the new energy vehicle air conditioner compressor variable frequency speed regulation and energy efficiency optimization integrated system described in the present application; Figure 2 a flowchart of the continuous speed regulation control strategy in the stable state; Figure 3 a flowchart of the segmented speed regulation control strategy in the unstable state; Figure 4 a flowchart of the first optimization adjustment when the energy efficiency optimization value does not meet the requirements; Figure 5 a flowchart of the second optimization adjustment when the energy efficiency optimization value does not meet the requirements. DETAILED DESCRIPTION

[0024] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0025] Please refer to Figures 1-5 The present application relates to a new energy vehicle air conditioner compressor variable frequency speed regulation and energy efficiency optimization integrated system, which comprises a data perception module, a strategy generation module, a parameter control module, an energy efficiency evaluation module and a system correction module. The specific implementation steps are as follows: The data perception module is used to determine the stability of the compressor operating state based on the speed fluctuation. Specifically, the data perception module acquires the speed data of the compressor in real time and calculates the speed fluctuation. By comparing the speed fluctuation with the preset fluctuation, it is determined whether the compressor operating state is stable.

[0026] The strategy generation module is connected with the data perception module, and is configured to determine a speed control strategy based on stability of the compressor operating state, and determine an association between the speed and the power based on a refrigeration demand matching degree under the corresponding speed control strategy. When the data perception module determines that the compressor operating state is stable or unstable, the strategy generation module will select a continuous speed control strategy or a segmented speed control strategy accordingly, and determine the association between the speed and the power in combination with the refrigeration demand matching degree.

[0027] The parameter control module is connected with the strategy generation module, and is configured to determine a determination mode of the energy efficiency optimization value based on a power consumption rate under the corresponding speed control strategy, and determine compliance of the energy efficiency optimization value based on a response delay amount in an adjustment process. The parameter control module will first determine the determination mode of the energy efficiency optimization value based on a comparison result of the power consumption rate and a preset consumption rate, and then determine whether the energy efficiency optimization value meets a requirement based on a comparison result of the response delay amount and a preset delay amount.

[0028] The energy efficiency evaluation module is connected with the parameter control module, and is configured to determine compliance of the speed and the power based on an energy efficiency conversion ratio of each working condition point under the corresponding speed control strategy. The energy efficiency evaluation module will analyze the energy efficiency conversion ratio of each working condition point, compare the energy efficiency conversion ratio with a preset conversion ratio, and determine whether the speed and the power meet the requirement.

[0029] The system correction module is connected with the parameter control module and the energy efficiency evaluation module, and is configured to determine an improved optimization value based on a difference between a preset response delay amount and an actual response delay amount when the energy efficiency optimization value does not meet the requirement, or determine a reduced power based on a difference between the energy efficiency conversion ratio and the preset conversion ratio when the energy efficiency optimization value does not meet the requirement. That is, when the energy efficiency optimization value does not meet the requirement, the system correction module will take corresponding measures to adjust the optimization value or the power according to different situations.

[0030] In this embodiment, the strategy generation module determines that the compressor operating state is stable based on a comparison result that the speed fluctuation amount is less than a preset fluctuation amount, determines that the higher the speed is, the lower the power is under the continuous speed control strategy based on a comparison result that the refrigeration demand matching degree is greater than or equal to a preset matching degree, and determines the energy efficiency optimization value based on a comparison result of the power consumption rate and a preset consumption rate.

[0031] The policy generation module maintains real-time data interaction with the data perception module. The data perception module continuously collects rotational speed data of the compressor during operation. The rotational speed data collection frequency needs to meet the accuracy requirements of the system for monitoring the operating state of the compressor, such as collecting multiple times per second to ensure that subtle changes in rotational speed can be captured in a timely manner. After collecting the rotational speed data, the data perception module processes the data and calculates the rotational speed fluctuation. The calculation method of the rotational speed fluctuation can be the difference between the maximum and minimum rotational speeds within a certain time window, or the standard deviation calculated based on statistical methods, etc. The specific calculation method needs to be set according to the actual requirements and characteristics of the compressor during system development to accurately reflect the rotational speed fluctuations.

[0032] After the policy generation module obtains the calculated rotational speed fluctuation from the data perception module, it compares it with the preset fluctuation. The preset fluctuation is a threshold value determined during system design based on factors such as normal operating conditions, performance indicators, and actual usage requirements of the new energy vehicle air conditioner compressor. When the rotational speed fluctuation is less than the preset fluctuation, the policy generation module determines that the current operating state of the compressor is stable. This is because a smaller rotational speed fluctuation indicates that the compressor can work relatively smoothly under the current operating conditions without significant rotational speed changes or abnormal fluctuations, which meets the characteristics of stable operation.

[0033] After determining that the compressor is in a stable operating state, the policy generation module further obtains the data of the refrigeration demand matching degree. The refrigeration demand matching degree is an indicator used to measure whether the current refrigeration capacity of the compressor meets the refrigeration demand inside the vehicle. Its determination needs to consider various factors such as the temperature setting inside the vehicle, the actual temperature, the number of passengers, the outside environment temperature, etc. For example, the system calculates the required refrigeration capacity based on the difference between the actual temperature collected by the temperature sensor inside the vehicle and the user-set temperature, combined with factors such as the high or low outside environment temperature, whether there is direct sunlight, etc. Then, the actual refrigeration capacity provided by the compressor is compared with the required refrigeration capacity to obtain the refrigeration demand matching degree.

[0034] The policy generation module compares the obtained refrigeration demand matching degree with the preset matching degree. The preset matching degree is also a standard value set during system design based on different usage scenarios and user requirements for refrigeration effect. When the refrigeration demand matching degree is greater than or equal to the preset matching degree, it means that the current refrigeration capacity of the compressor can meet or exceed the refrigeration demand inside the vehicle. In this case, the policy generation module determines to adopt the continuous speed control strategy, and under this strategy, the higher the rotational speed, the lower the power.

[0035] The continuous speed control strategy means that the speed of the compressor can be continuously adjusted within a certain range, rather than in stages. This strategy is suitable for cases where the compressor operates stably and the refrigeration demand can be well met. Under the continuous speed control strategy, the determination that the higher the speed, the lower the power is based on in-depth research and analysis of the operating characteristics of the compressor. Generally speaking, within a certain operating condition range, when the speed of the compressor increases, its refrigeration efficiency may improve, so that the power consumed to meet the same refrigeration demand may be reduced. Of course, this requires that during the design and commissioning of the system, the relationship curve between the specific speed and power is determined through performance testing and data analysis of the compressor to ensure the accuracy and reasonableness of the relationship.

[0036] Next, the strategy generation module needs to determine the energy efficiency optimization value according to the comparison result of the power consumption rate and the preset consumption rate. The power consumption rate refers to the power consumption of the compressor per unit time under the continuous speed control strategy. Its calculation requires obtaining the actual power consumption data of the compressor and the corresponding operating time. For example, the system will collect the input voltage, current and other parameters of the compressor in real time, calculate the actual power through the formula, and then combine the operating time to calculate the power consumption rate in a certain period of time.

[0037] The preset consumption rate is a reference value set by the system to measure whether the power consumption of the compressor is reasonable. It is determined according to the rated power of the compressor, energy efficiency standards and energy saving requirements in actual use, etc. The strategy generation module compares the calculated power consumption rate with the preset consumption rate. If the power consumption rate is lower than the preset consumption rate, it means that the power consumption of the compressor in the current operating state is relatively small and the energy efficiency is good. At this time, the strategy generation module will determine a relatively small energy efficiency optimization value, which may only fine-tune the current operating parameters to maintain good energy efficiency. If the power consumption rate is higher than the preset consumption rate, it means that the power consumption of the compressor is large and the energy efficiency needs to be improved. At this time, the strategy generation module will determine a corresponding energy efficiency optimization value according to the difference between the two, which aims to reduce power consumption and improve energy efficiency by adjusting relevant parameters such as further optimizing the matching relationship between speed and power.

[0038] Throughout the process, the policy generation module needs to constantly interact with the data perception module for data, real-time acquisition of speed fluctuation, refrigeration demand matching degree and power consumption rate and other data, and continuous comparison and analysis to ensure that the speed control strategy and energy efficiency optimization value can be adjusted in time according to the actual running state of the compressor, so as to realize the integrated control of variable frequency speed regulation and energy efficiency optimization of the new energy automobile air conditioner compressor, so that the compressor can maximize the energy efficiency while maintaining stable operation, reduce energy consumption, and meet the requirements of new energy vehicles for energy saving and environmental protection. At the same time, the system also needs to consider various possible interference factors and boundary conditions, such as bumps during vehicle driving, voltage fluctuations, etc., to ensure that the judgment and decision of the policy generation module have sufficient reliability and robustness, and to ensure the stable operation and efficient work of the whole system.

[0039] In this embodiment, the policy generation module determines that the compressor is in an unstable state based on the comparison result that the speed fluctuation is greater than or equal to the preset fluctuation, and determines that the higher the speed is under the segmented speed control strategy, the higher the power is based on the comparison result that the refrigeration demand matching degree is greater than or equal to the preset matching degree, and determines the energy efficiency optimization value according to the comparison result of the power consumption rate and the preset consumption rate.

[0040] A stable data transmission channel is established between the policy generation module and the data perception module to ensure that the key data during the operation of the compressor can be obtained in real time. The data perception module will collect the speed of the compressor in real time according to the set sampling frequency during the operation of the system. This sampling frequency needs to meet the accurate monitoring requirement of the speed change of the compressor, for example, it can be set to collect tens of times per second, so as to avoid missing the speed fluctuation due to insufficient sampling frequency. After collecting continuous speed data, the data perception module analyzes and processes these data, and calculates the speed fluctuation through a specific algorithm. The calculation method of the speed fluctuation here can be determined in combination with the actual running characteristics of the compressor, for example, the difference between the maximum value and the minimum value of the speed within a certain time period can be calculated, or the variance calculation method based on time series can be used to accurately reflect the fluctuation degree of the speed.

[0041] After the policy generation module obtains the speed fluctuation transmitted by the data perception module, it compares it with the preset fluctuation. The determination of the preset fluctuation considers factors such as the type of new energy automobile air conditioner compressor, rated speed, speed fluctuation range during normal operation, and possible working condition changes during vehicle driving. When the speed fluctuation is greater than or equal to the preset fluctuation, the policy generation module determines that the running state of the compressor at this time is unstable. This is because a larger speed fluctuation indicates that the compressor may be affected by factors such as vehicle sudden acceleration, sudden deceleration, external load mutation, etc. during operation, resulting in obvious fluctuation of its speed and unable to maintain operation within a relatively stable interval.

[0042] After determining that the compressor operating state is unstable, the strategy generation module further acquires relevant data of the refrigeration demand matching degree. The calculation of the refrigeration demand matching degree needs to comprehensively consider various environmental and working condition factors, such as the actual temperature fed back by the in-vehicle temperature sensor, the target temperature set by the user through the air conditioning control panel, the number of in-vehicle passengers, the opening and closing state of the vehicle window, the external environment temperature, and the solar radiation intensity, etc. The system will calculate the current required refrigeration capacity according to these input parameters through the established refrigeration demand model, and determine the matching degree of the actual output refrigeration capacity of the compressor and the required refrigeration capacity, i.e. the refrigeration demand matching degree, in combination with the refrigeration capacity output characteristics of the compressor at different speeds.

[0043] The strategy generation module compares the calculated refrigeration demand matching degree with the preset matching degree. The preset matching degree is a threshold value set comprehensively according to factors such as the basic requirement of the user for the in-vehicle refrigeration effect under different climate conditions, the refrigeration capacity range of the compressor, and the energy consumption limit of the new energy vehicle, etc. during the system design stage. When the refrigeration demand matching degree is greater than or equal to the preset matching degree, it means that although the compressor operating state is unstable, the current refrigeration capacity can still meet or exceed the in-vehicle refrigeration demand. In this case, the strategy generation module determines to adopt the segmented speed control strategy, and under this strategy, the higher the speed, the higher the power.

[0044] The segmented speed control strategy is to divide the speed range of the compressor into several different speed segments, each of which corresponds to different speed control rules and power output characteristics. This strategy is suitable for the case where the compressor operating state is unstable, and through segmented control, the running characteristics of the compressor in different speed intervals can be better adapted to improve the stability and control accuracy of the system. Under the segmented speed control strategy, the reason why the higher the speed, the higher the power is based on the characteristic analysis of the compressor in the unstable operating state. When the compressor speed is in a lower speed segment, in order to meet certain refrigeration demand, a larger power input may be needed to maintain the refrigeration capacity; and when the speed is increased to a higher speed segment, although the operating state of the compressor is still unstable, due to the increase of the speed, factors such as mechanical loss, volumetric efficiency, etc. inside the compressor may cause the power consumption to increase with the increase of the speed, thus forming the correlation that the higher the speed, the higher the power. This relationship needs to be determined through a large number of tests and data analysis on the power consumption of the compressor under different speed segments and different load conditions during the system development process, to ensure the rationality and effectiveness of the segmented speed control strategy.

[0045] The strategy generation module needs to determine the energy efficiency optimization value according to the comparison result of the power consumption rate and the preset consumption rate. The power consumption rate refers to the average power consumption level of the compressor per unit time under the segmented speed control strategy. Its calculation process needs to collect the power data of the compressor running at each speed segment in real time, and combines the running time of each speed segment for weighted average. For example, the system records the running time of the compressor at each speed segment, and the real-time power consumption in that speed segment, and calculates the average power consumption rate during the entire running process.

[0046] The preset consumption rate is a benchmark value set by the system for the power consumption under the segmented speed control strategy. The determination of this value takes into account factors such as the rated power of the compressor at different speed segments, energy efficiency standards, and the energy consumption requirements of new energy vehicles for air conditioning systems. The strategy generation module compares the calculated power consumption rate with the preset consumption rate. If the power consumption rate is lower than the preset consumption rate, it means that the power utilization efficiency of the compressor under the segmented speed control strategy is relatively high, and the energy efficiency is good. At this time, the strategy generation module will determine a smaller energy efficiency optimization value according to the actual situation, and may only fine-tune the control parameters of part of the speed segments to further optimize the energy efficiency. If the power consumption rate is higher than the preset consumption rate, it means that the power consumption of the compressor exceeds the expected level, and the energy efficiency needs to be improved. At this time, the strategy generation module will determine the corresponding energy efficiency optimization value according to the difference between the two, which aims to reduce power consumption and improve the energy efficiency of the system by adjusting the division of segmented speed segments, the speed control range or power output characteristics of each segment, etc.

[0047] During the entire implementation process, the strategy generation module needs to continuously interact with the data perception module to monitor the changes in speed fluctuation, refrigeration demand matching degree, and power consumption rate in real time. When the operating state of the compressor changes from unstable to stable, or the refrigeration demand matching degree changes significantly, the strategy generation module needs to adjust the speed control strategy and the energy efficiency optimization value in a timely manner to adapt to the actual operating conditions of the compressor. At the same time, the system also needs to consider the complexity and variability of the operating conditions of new energy vehicles during driving, such as different vehicle speeds, road conditions, air conditioning loads, and other factors affecting the operating state of the compressor, to ensure that the decision of the strategy generation module accurately reflects the actual needs of the compressor, thereby realizing integrated control of the variable frequency speed regulation and energy efficiency optimization of the compressor, maximizing energy consumption and improving the energy utilization efficiency of new energy vehicles. In addition, in order to deal with possible abnormal situations such as inaccurate data caused by sensor failure, and severe speed fluctuations caused by external interference, the system also needs to have corresponding fault diagnosis and fault tolerance processing mechanisms to ensure the reliability of the judgment and decision of the strategy generation module, and to ensure the stable operation of the entire system.

[0048] In this embodiment, the parameter regulation module determines that the energy efficiency optimization value does not meet the condition based on the comparison result that the response delay is greater than or equal to the preset delay, and determines to increase the optimization value by the first preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is less than or equal to the preset deviation.

[0049] There is a close data interaction relationship between the parameter regulation module and the strategy generation module. During system operation, the strategy generation module determines the corresponding speed regulation control strategy according to the operating state of the compressor and the refrigeration demand, and transmits the power consumption rate and other information under the strategy to the parameter regulation module. The parameter regulation module first needs to determine the energy efficiency optimization value based on the comparison result of the power consumption rate and the preset consumption rate. The power consumption rate refers to the power consumption of the compressor per unit time under a specific speed regulation control strategy, and its calculation needs to combine the actual power output of the compressor and the running time and other data. The preset consumption rate is a reference threshold value preset by the system according to the energy efficiency standard of the compressor, operating conditions and other factors. When the power consumption rate is higher than the preset consumption rate, the parameter regulation module determines that energy efficiency optimization is needed, and determines an initial energy efficiency optimization value according to the difference between the two, which aims to reduce power consumption and improve energy efficiency by adjusting related parameters.

[0050] After determining the energy efficiency optimization value, the parameter regulation module needs to monitor the response delay in the adjustment process in real time. The response delay refers to the time experienced from the system issuing an adjustment instruction to the compressor actually executing the instruction and producing the corresponding effect. The parameter regulation module collects the response data of the compressor to the adjustment instruction in real time through sensors or other monitoring devices, and calculates the actual response delay. The response data collection needs to have high real-time and accuracy, for example, the response delay can be determined by monitoring the change time of the compressor speed, the adjustment time of the power output and other parameters, so as to ensure that the response of the system can be captured in time.

[0051] The parameter regulation module compares the actual response delay collected with the preset delay. The preset delay is a time threshold value determined by the system in the design stage according to the mechanical characteristics of the compressor, the processing speed of the control algorithm and the actual operating demand and other factors, which represents the expected response speed of the system. When the actual response delay is greater than or equal to the preset delay, the parameter regulation module determines that the energy efficiency optimization value does not meet the requirement at this time. This is because the longer response delay indicates that the system executes the energy efficiency optimization instruction slowly, which may not be able to adapt to the change of the operating state of the compressor in time, thereby affecting the effect of energy efficiency optimization, resulting in that the energy efficiency optimization value fails to achieve the expected target.

[0052] After determining that the energy efficiency optimization value does not meet the requirement, the parameter control module needs to further analyze the difference between the preset response delay and the actual response delay. Specifically, the parameter control module calculates the difference between the two and compares the difference with a preset deviation. The preset deviation is a permissible range set by the system for the difference in response delay, which takes into account factors such as normal fluctuations that may occur during compressor operation, measurement errors of sensors, and other factors. When the difference between the preset response delay and the actual response delay is less than or equal to the preset deviation, it means that although the response delay exceeds the preset delay, the difference is within an acceptable range, which is a relatively small deviation.

[0053] In this case, the parameter control module determines to increase the optimization value by a first preset optimization adjustment coefficient. The first preset optimization adjustment coefficient is a fixed value set by the system in advance, and the size of the coefficient needs to be determined according to factors such as the goal of energy efficiency optimization, the adjustment accuracy of the compressor, and the degree of deviation of the response delay. By increasing the optimization value by the first preset optimization adjustment coefficient, the parameter control module aims to make a moderate adjustment to the energy efficiency optimization value under the condition of a small deviation in response delay, in order to shorten the response delay and improve the response speed of the system, so that the energy efficiency optimization value can better meet the requirements.

[0054] For example, assuming that the preset response delay is T0 and the actual response delay is T1, when T1 ≥ T0 and T1-T0 ≤ ΔT (ΔT is the preset deviation), the parameter control module will multiply the current energy efficiency optimization value by (1+K1), where K1 is the first preset optimization adjustment coefficient. After increasing the optimization value in this way, the system will reissue the adjustment instruction and again monitor the response delay to determine whether the adjusted energy efficiency optimization value can shorten the response delay to below the preset delay.

[0055] During the entire implementation process, the parameter control module needs to continuously collect data, calculate, compare, and make decisions. This requires the parameter control module to have efficient data processing capabilities and a fast response mechanism to ensure that it can timely detect abnormal conditions of the response delay and take appropriate adjustment measures. At the same time, the system also needs to consider various complex working conditions that may occur during the driving of the new energy vehicle, such as vehicle acceleration, deceleration, climbing, etc. Changes in these working conditions may cause the load of the compressor to change suddenly, thereby affecting the response delay. Therefore, the parameter control module needs to have strong adaptability to accurately judge the compliance of the energy efficiency optimization value under different working conditions and reasonably determine the optimization adjustment coefficient to ensure the effectiveness of energy efficiency optimization.

[0056] In addition, in order to improve the reliability and stability of the system, the parameter control module also needs to have certain fault tolerance. For example, when the sensor has a temporary failure causing the response delay data to be inaccurate, the parameter control module should be able to process the data through data filtering, outlier detection, etc. to avoid making incorrect decisions due to incorrect data. At the same time, the system can also set up multiple verification mechanisms, such as combining the data of multiple sensors to determine the response delay, to improve the accuracy and reliability of the data.

[0057] In this embodiment, the parameter control module determines that the energy efficiency optimization value does not meet the requirements based on the comparison result that the response delay is greater than or equal to the preset delay, and determines to increase the optimization value by the second preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is greater than the preset deviation.

[0058] The parameter control module and the strategy generation module maintain real-time data interaction. When the strategy generation module determines the speed control strategy according to the operating state of the compressor, it will pass information such as power consumption rate to the parameter control module. The parameter control module needs to determine the energy efficiency optimization value based on the comparison result of the power consumption rate and the preset consumption rate. For example, under the segmented speed control strategy, when the compressor is running at a certain speed segment, the actual power consumption rate is 1.2 kW / h, and the preset consumption rate is 1.0 kW / h. At this time, the parameter control module determines that the energy efficiency needs to be optimized, and initially determines an energy efficiency optimization value, such as setting a power adjustment amplitude of 5% increase, to reduce power consumption.

[0059] After determining the energy efficiency optimization value, the parameter control module starts to monitor the response delay in the adjustment process. The monitoring of the response delay needs to be realized through sensors and timers in the system, for example, the time is counted from the moment the system issues the instruction to increase the speed to the moment the actual speed of the compressor starts to change, and this period of time is the response delay. Assuming that the preset delay is 500 milliseconds, when adjusting, the actual response delay is 650 milliseconds. At this time, the parameter control module compares and finds that the actual response delay is greater than the preset delay, and determines that the current energy efficiency optimization value does not meet the requirements, i.e. the system fails to complete the adjustment within the expected time, which may affect the energy efficiency optimization effect.

[0060] The parameter control module calculates the difference between the preset response delay and the actual response delay, i.e. 650 milliseconds - 500 milliseconds = 150 milliseconds, and compares the difference with the preset deviation. The setting of the preset deviation needs to consider the fluctuation range of the system under normal operation, for example, the preset deviation is 100 milliseconds. When the difference 150 milliseconds is greater than the preset deviation 100 milliseconds, it indicates that the deviation of the response delay is large, which may be due to the fact that the current setting of the energy efficiency optimization value fails to effectively drive the compressor to respond quickly, or the external working condition changes cause the system load to increase, making the execution speed of the adjustment instruction lag significantly.

[0061] In this case, the parameter control module determines to increase the optimization value by a second preset optimization adjustment coefficient. The second preset optimization adjustment coefficient is generally greater than the first preset optimization adjustment coefficient to cope with a larger response delay deviation. For example, the first preset optimization adjustment coefficient is 0.1, and the second preset optimization adjustment coefficient is 0.3. Assuming that the original energy efficiency optimization value is to reduce the power target of a certain speed section by 10%, when it is determined to increase the optimization value by the second preset optimization adjustment coefficient, the new optimization value becomes 10% x (1+0.3) = 13% reduction, that is, by increasing the amplitude of power adjustment, the compressor obtains a larger driving signal in the adjustment process, thereby shortening the response delay amount.

[0062] In a specific implementation, the parameter control module needs to continuously collect response delay amount data. For example, when a new energy automobile encounters a climbing working condition during driving, the battery output voltage fluctuates, causing the power response of the compressor driving motor to slow down, and at this time the actual response delay amount may rise from 400 milliseconds under normal working conditions to 700 milliseconds. The parameter control module compares the preset delay amount of 500 milliseconds and finds that the difference of 200 milliseconds is greater than the preset deviation of 100 milliseconds, and then starts the mechanism of increasing the optimization value by the second preset optimization adjustment coefficient. Assuming that the original optimization value is to increase the speed from 2000 revolutions per minute to 2200 revolutions per minute to match the refrigeration demand, after increasing the optimization value, the new target speed is adjusted to 2300 revolutions per minute, and by increasing the amplitude of speed adjustment, the compressor can still respond to the adjustment instruction faster under the voltage fluctuation working condition.

[0063] The parameter control module also needs to consider the response characteristic differences under different speed control strategies. For example, in a continuous speed control strategy, the compressor speed can be continuously adjusted, and the response delay amount may be greatly affected by the motor speed inertia; and in a segmented speed control strategy, the speed is switched between different segments, and the response delay amount may be affected by the action time of the mechanical switching component. Therefore, the setting of the preset delay amount and the preset deviation needs to be differentiated according to different strategies. For example, the preset delay amount is set to 400 milliseconds and the preset deviation is 80 milliseconds under the continuous speed control strategy; and the preset delay amount is set to 600 milliseconds and the preset deviation is 120 milliseconds under the segmented speed control strategy, to adapt to the response characteristics of different strategies.

[0064] When the parameter control module increases the optimization value by the second preset optimization adjustment coefficient, it continues to monitor the subsequent response delay. For example, after adjusting the optimization value, the adjustment instruction is sent again. If the response delay is shortened from 700 milliseconds to 550 milliseconds, the difference is 550 milliseconds-500 milliseconds = 50 milliseconds, which is less than the preset deviation 100 milliseconds. Therefore, the subsequent process can switch to the first preset optimization adjustment coefficient for fine adjustment. If the response delay is still greater than the preset delay and the difference exceeds the preset deviation, the optimization value may need to be increased again by the second preset optimization adjustment coefficient, or the system correction module may need to be triggered for deeper parameter adjustment.

[0065] During the entire process, the parameter control module needs to work in coordination with sensors, controllers and other components in the system. For example, the current sensor needs to provide real-time feedback of the working current of the compressor motor to determine the actual effect of power regulation. The speed sensor needs to accurately monitor the speed change to provide data support for the calculation of the response delay. At the same time, the decision logic of the parameter control module needs to have fault tolerance. If the response delay data is abnormal (such as instantaneously jumping to 1000 milliseconds) due to sensor interference, the module needs to exclude the abnormal value through a data filtering algorithm (such as a moving average filter) to avoid misjudgment.

[0066] The system also needs to consider the impact of new energy vehicle battery voltage changes on the response delay. When the battery power is low, voltage drop may cause the motor driving ability to weaken, and the response delay to increase. At this time, when the parameter control module detects that the response delay deviation exceeds the preset value, it can also link the battery management system to obtain the voltage state. If the voltage is lower than the threshold, the adjustment coefficient is appropriately increased when the optimization value is increased to compensate for the impact of insufficient voltage on response speed.

[0067] The core of the present embodiment is that the parameter control module monitors the response delay in real time, and increases the energy efficiency optimization value by a larger adjustment coefficient when the deviation is large, thereby shortening the system response time and ensuring the effective implementation of energy efficiency optimization measures. This process needs to be combined with parameter changes in specific working conditions, such as vehicle load, battery voltage, compressor speed section, etc., to dynamically adjust the optimization strategy to realize integrated control of variable frequency speed regulation and energy efficiency optimization, while ensuring the refrigeration demand and improving the system energy efficiency.

[0068] In this embodiment, the system correction module is connected with the parameter regulation module and the energy efficiency evaluation module. When it is determined that the corresponding speed control strategy is executed on the compressor, the system correction module determines that the matching relationship between the speed and the power does not meet the requirements based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio, and determines to increase the speed by the first preset speed regulation coefficient according to the comparison result that the ratio of the energy efficiency conversion ratio to the preset conversion ratio is greater than or equal to the preset ratio. Meanwhile, the system correction module determines that the matching relationship between the speed and the power meets the requirements based on the comparison result that the energy efficiency conversion ratio is equal to the preset conversion ratio, and keeps the current speed and power parameters unchanged. In addition, the energy efficiency evaluation module determines that the matching relationship between the speed and the power does not meet the requirements based on the comparison result that the energy efficiency conversion ratio of each working condition point is less than the preset conversion ratio when it is determined that the corresponding speed control strategy is executed on the compressor, and determines to decrease the power by the first preset power regulation coefficient according to the comparison result that the difference between the energy efficiency conversion ratio and the preset conversion ratio is less than or equal to the preset difference, or determines to decrease the power by the second preset power regulation coefficient according to the comparison result that the difference is greater than the preset difference.

[0069] When the compressor executes the speed control strategy, the system correction module needs to obtain the energy efficiency conversion ratio data of each working condition point in real time. The energy efficiency conversion ratio is an index for measuring the efficiency of the refrigeration capacity generated by the compressor under unit power input, and its data is derived from the real-time calculation of the operating parameters of the compressor by the energy efficiency evaluation module, for example, by collecting and comprehensively evaluating the input power and refrigeration capacity output of the compressor. The preset conversion ratio is a reference value preset by the system according to the design energy efficiency standard of the compressor, the energy consumption requirements of new energy vehicles and other factors, and is used to determine whether the current energy efficiency meets the standard.

[0070] When the energy efficiency conversion ratio of a certain working condition point is less than the preset conversion ratio, the system correction module determines that the matching relationship between the speed and the power at this working condition does not meet the requirements, i.e., the current speed and power settings fail to make the compressor achieve the expected energy efficiency level. At this time, the system correction module needs to further analyze the ratio of the energy efficiency conversion ratio to the preset conversion ratio. For example, the preset conversion ratio is 3.5, the energy efficiency conversion ratio of a certain working condition point is 3.0, and the ratio is 3.0 / 3.5≈0.86. If the preset ratio is set to 0.8, the ratio is greater than or equal to the preset ratio, indicating that the gap between the energy efficiency conversion ratio and the preset value is relatively small. In this case, the system correction module determines to increase the speed by the first preset speed regulation coefficient, such as setting the first preset speed regulation coefficient to 0.05, the current speed is increased from 2500 rpm to 2500×(1+0.05)=2625 rpm, the refrigeration efficiency of the compressor is optimized by moderately increasing the speed, and the energy efficiency conversion ratio is close to the preset value.

[0071] If the energy efficiency conversion ratio of another operating point is 2.8, the ratio of the preset conversion ratio 3.5 is 0.8, which is equal to the preset ratio, and the mechanism of adjusting the speed by the first preset speed adjustment coefficient is triggered. When the energy efficiency conversion ratio is 2.5, the ratio is 0.71, which is less than the preset ratio 0.8, the system correction module determines to adjust the speed by the second preset speed adjustment coefficient. The second preset speed adjustment coefficient is usually greater than the first preset coefficient, such as 0.1, at this time the speed is increased from 2500 rpm to 2500*(1+0.1)=2750 rpm, so that the speed is increased by a larger margin to enhance the refrigeration capacity output and make up for the larger gap in energy efficiency conversion ratio.

[0072] At the same time, the energy efficiency evaluation module also starts the power adjustment mechanism when it detects that the energy efficiency conversion ratio is less than the preset conversion ratio. The energy efficiency evaluation module calculates the difference between the energy efficiency conversion ratio and the preset conversion ratio, for example, the difference can be measured by the absolute value of the difference between the two. The preset difference is the threshold value set by the system to judge the difference, for example, the preset difference is 0.5. When the energy efficiency conversion ratio of a certain operating point is 3.2, the difference between the preset conversion ratio 3.5 is 0.3, which is less than or equal to the preset difference 0.5, the energy efficiency evaluation module determines to reduce the power by the first preset power adjustment coefficient, for example, the first preset power adjustment coefficient is 0.04, then the current power is reduced from 800 W to 768 W, which is 800*(1-0.04), by reducing the power by a small margin to optimize the energy efficiency conversion ratio.

[0073] If the energy efficiency conversion ratio is 2.9, the difference between the preset conversion ratio is 0.6, which is greater than the preset difference 0.5, the energy efficiency evaluation module reduces the power by the second preset power adjustment coefficient, for example, the second preset coefficient is 0.08, the power is reduced from 800 W to 736 W, which is 800*(1-0.08), by reducing the power by a larger margin to promote the energy efficiency conversion ratio to recover. During the power adjustment process, the energy efficiency evaluation module needs to ensure that the refrigeration capacity of the compressor after reducing the power can still meet the refrigeration demand in the vehicle, so as to avoid insufficient refrigeration effect due to excessive reduction of power.

[0074] In addition, when the system correction module detects that the energy efficiency conversion ratio of a certain operating point is equal to the preset conversion ratio, it is determined that the matching relationship between the speed and the power in this operating condition meets the requirements, at this time the current speed and power parameters are not adjusted to maintain the operation of the compressor in the high efficiency state. For example, the compressor operates at a speed of 3000 rpm and a power of 900 W, and the energy efficiency conversion ratio is equal to the preset conversion ratio 3.5, the system correction module does not trigger any adjustment action, and the compressor continues to operate in this condition.

[0075] In practical applications, the system correction module and the energy efficiency evaluation module need to work together to take appropriate adjustment measures according to different energy efficiency conversion ratio deviation situations. For example, when the energy efficiency conversion ratio of a certain working condition point is less than the preset conversion ratio and the difference is large, the system correction module increases the speed by the second preset speed adjustment coefficient, and at the same time the energy efficiency evaluation module reduces the power by the second preset power adjustment coefficient, so as to quickly optimize the energy efficiency through double adjustment of speed and power. When the energy efficiency conversion ratio deviation is small, a smaller adjustment coefficient is used for fine tuning to avoid excessive adjustment and system fluctuation.

[0076] The system also needs to consider parameter changes under different working conditions. For example, when the vehicle is driving at high speed, the load of the compressor may increase and the energy efficiency conversion ratio may decrease. At this time, the system correction module and the energy efficiency evaluation module need to dynamically adjust the speed and power parameters according to the real-time collected energy efficiency conversion ratio data. For example, when the vehicle drives at high speed and the outside temperature rises, the cooling demand in the vehicle increases, the compressor is at a speed of 3500 rpm and a power of 1000 W, the energy efficiency conversion ratio is 3.2, which is less than the preset conversion ratio 3.5, and the ratio of the energy efficiency conversion ratio to the preset conversion ratio is 0.91 (greater than the preset ratio 0.8), and the difference is 0.3 (less than the preset difference 0.5). The system correction module increases the speed to 3675 rpm by the first preset speed adjustment coefficient, and the energy efficiency evaluation module reduces the power to 960 W by the first preset power adjustment coefficient, so as to improve the energy efficiency conversion ratio while meeting the cooling demand through the coordinated adjustment of speed increase and power reduction.

[0077] During the adjustment process, the system also needs to monitor the operating state of the compressor to avoid excessive adjustment of the speed or power beyond the safe operating range of the compressor. For example, when the speed is increased to the preset upper limit, even if the energy efficiency conversion ratio is still not up to standard, the system correction module will stop further increasing the speed and instead adjust the power parameter or trigger other optimization strategies through the energy efficiency evaluation module. At the same time, the system needs to have a data filtering and outlier processing mechanism to avoid abnormal energy efficiency conversion ratio data caused by sensor failure, thereby causing incorrect adjustment actions.

[0078] It should be noted that in this document, relational terms such as first and second and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus.

[0079] While embodiments of the application have been shown and described, it is to be understood that the embodiments described are merely exemplary of the principles and application of the present application. Numerous modifications and adaptions can be effected without departing from the spirit and scope of the present application, which is not limited to the exact construction and arrangement described. It is intended, therefore, to cover all modifications and adaptions that fall within the scope of the claims and their equivalents.

Claims

1. A variable frequency speed regulation and energy efficiency optimization integrated system for a new energy vehicle air conditioning compressor, characterized in that, include: The data sensing module is used to determine the stability of the compressor's operating status based on the amount of speed fluctuation; The strategy generation module, which is connected to the data sensing module, is used to determine the speed control strategy based on the stability of the compressor's operating state, and to determine the correlation between speed and power based on the matching degree of cooling demand under the corresponding speed control strategy. The parameter control module, which is connected to the strategy generation module, is used to determine the energy efficiency optimization value based on the power consumption rate under the condition of the corresponding speed control strategy, and to determine the compliance of the energy efficiency optimization value based on the response delay during the adjustment process. An energy efficiency assessment module, which is connected to the parameter control module, is used to determine the compatibility between speed and power based on the energy conversion ratio at each operating point under the condition of the corresponding speed control strategy. The system calibration module, which is connected to the parameter control module and the energy efficiency evaluation module, is used to determine the improvement optimization value based on the difference between the preset response delay and the actual response delay when the energy efficiency optimization value does not meet the requirements, and to determine the improvement optimization value based on the difference between the preset response delay and the actual response delay when the energy efficiency optimization value does not meet the requirements, or to determine the power reduction based on the difference between the energy efficiency conversion ratio and the preset conversion ratio.

2. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 1, characterized in that, The strategy generation module determines that the compressor is operating stably based on the comparison result that the speed fluctuation is less than the preset fluctuation, and determines that the higher the speed, the lower the power under the continuous speed control strategy based on the comparison result that the cooling demand matching degree is greater than or equal to the preset matching degree. The energy efficiency optimization value is determined based on the comparison result of the power consumption rate and the preset consumption rate.

3. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 1, characterized in that, The strategy generation module determines that the compressor's operating state is unstable based on the comparison result of the speed fluctuation being greater than or equal to the preset fluctuation amount, and determines that the higher the speed, the higher the power under the segmented speed control strategy based on the comparison result of the cooling demand matching degree being greater than or equal to the preset matching degree. The energy efficiency optimization value is determined based on the comparison result of the power consumption rate and the preset consumption rate.

4. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 3, characterized in that, Under the condition of determining the energy efficiency optimization value, the parameter control module determines that the energy efficiency optimization value does not meet the requirements based on the comparison result that the response delay is greater than or equal to the preset delay. It then determines to increase the optimization value with the first preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is less than or equal to the preset deviation.

5. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 3, characterized in that, Under the condition of determining the energy efficiency optimization value, the parameter control module determines that the energy efficiency optimization value does not meet the requirements based on the comparison result that the response delay is greater than or equal to the preset delay. It then determines to increase the optimization value with the second preset optimization adjustment coefficient based on the comparison result that the difference between the preset response delay and the actual response delay is greater than the preset deviation.

6. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 5, characterized in that, Under the condition that the corresponding speed control strategy is executed on the compressor, the system correction module determines that the speed and power do not match based on the comparison result that the energy efficiency conversion ratio of each operating point is less than the preset conversion ratio, and determines to increase the speed with the first preset speed adjustment coefficient based on the comparison result that the ratio of the energy efficiency conversion ratio to the preset conversion ratio is greater than or equal to the preset ratio.

7. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 6, characterized in that, Under the condition that the corresponding speed control strategy is executed on the compressor, the system correction module determines that the speed and power do not match based on the comparison result that the energy efficiency conversion ratio is less than the preset conversion ratio at each operating point, and determines to increase the speed with the second preset speed adjustment coefficient based on the comparison result that the ratio of the energy efficiency conversion ratio to the preset conversion ratio is less than the preset ratio.

8. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 7, characterized in that, Under the condition that the corresponding speed control strategy is executed on the compressor, the energy efficiency evaluation module determines that the speed and power do not match based on the comparison result that the energy efficiency conversion ratio of each operating point is less than the preset conversion ratio, and determines to reduce the power with the first preset power adjustment coefficient based on the comparison result that the difference between the energy efficiency conversion ratio and the preset conversion ratio is less than or equal to the preset difference.

9. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 8, characterized in that, Under the condition that the corresponding speed control strategy is executed on the compressor, the energy efficiency evaluation module determines that the speed and power do not match based on the comparison result that the energy efficiency conversion ratio of each operating point is less than the preset conversion ratio, and determines to reduce the power with the second preset power adjustment coefficient based on the comparison result that the difference between the energy efficiency conversion ratio and the preset conversion ratio is greater than the preset difference.

10. The new energy vehicle air conditioning compressor variable frequency speed regulation and energy efficiency optimization integrated system according to claim 6, characterized in that, Under the condition that the corresponding speed control strategy is executed on the compressor, the system correction module determines that the speed and power are consistent based on the comparison result that the energy efficiency conversion ratio is equal to the preset conversion ratio, and keeps the current speed and power parameters unchanged.

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