Battery management system, heat pump regulation and control method, equipment and medium

Abstract

The invention provides a battery management system, a heat pump regulation and control method, equipment and a medium, and relates to the technical field of heat pumps. The pressure overshoot of the refrigerant in the working condition switching process is extracted from the response data, and then the dynamic stability index of the heat pump unit in the working condition switching process is determined based on the pressure overshoot and the temperature difference change rate of the refrigerant on the two sides of the evaporator; the tracking cost of battery temperature control of the heat pump unit in the working condition switching process is determined; the power regulation and control quantity of the compressor in the working condition switching process is obtained, correlation correction is conducted on the power regulation and control quantity according to the dynamic stability index and the tracking cost, and a power correction factor of the compressor is obtained; and the output power of the compressor in the working condition switching process is subjected to balanced regulation and control according to the power correction factor. By the adoption of the scheme, dynamic balance adjustment of the power of the heat pump in the working condition switching process can be achieved.

Description

Technical Field

[0001] This application relates to the field of heat pump technology, and more specifically, to battery management systems, heat pump control methods, devices, and media. Background Technology

[0002] With the widespread application of energy storage systems, heat pumps, as one of the core components of battery thermal management systems, can provide efficient heating and cooling capabilities under conditions of drastic changes in ambient temperature, thereby ensuring the stable operation of the battery pack within its optimal temperature range. The heat pump system relies on components such as compressors, evaporators, and condensers to construct a heat conversion pathway, which is an important means to improve system energy efficiency and achieve precise energy control. Compared with traditional electric heating or air cooling methods, heat pumps have advantages such as high energy efficiency ratio, fast thermal response speed, and strong adaptability. They can intelligently adjust the working mode according to changes in ambient temperature, battery state of charge, and heat load, effectively reducing vehicle energy consumption and improving system range and operational safety.

[0003] In existing technologies, during heat pump operation mode switching (e.g., switching from heating to cooling or sudden load changes), the compressor power control, typically based on fixed parameters or preset operating curves, cannot respond promptly to transient changes in refrigerant state and battery thermal response. This can easily lead to short-term overshooting of the internal pressure of the heat pump system, resulting in dynamic instability. Furthermore, the heat pump power regulation strategy ignores the feedback effect of battery temperature control on compressor power changes, causing frequent compressor start-stops or power surges, reducing system operating efficiency and thermal management accuracy. Therefore, achieving dynamic and balanced power regulation of the heat pump during operation mode switching has become a challenge for the industry. Summary of the Invention

[0004] This application provides a battery management system, a heat pump control method, equipment, and medium, which can realize dynamic balance adjustment of heat pump power during operating condition switching.

[0005] In a first aspect, this application provides a heat pump control method in a battery management system, the battery management system including a heat pump unit and a heat pump control unit, the heat pump unit including an evaporator and a compressor, the method including the following steps: The response data of the heat pump unit during the switching of operating conditions is collected. The response data includes refrigerant pressure data, refrigerant temperature data, battery temperature data, and compressor power consumption data. Extract the refrigerant pressure overshoot during the operating condition switching process from the response data, and then determine the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator. Determine the tracking cost of battery temperature control during the operating condition switching process of the heat pump unit; The power regulation amount of the compressor during the operating condition switching process is obtained, and the power regulation amount is correlated and corrected according to the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor. The compressor output power is balanced and regulated during the operating condition switching process based on the power correction factor.

[0006] Preferably, extracting the refrigerant pressure overshoot during the operating condition switching process from the response data specifically includes: Determine the switching node for each operating condition change of the heat pump unit; The pressure data of the refrigerant at the evaporator inlet is filtered from the response data, and then the pressure data segment within the set time window before and after each switching node is extracted; Calculate the pressure overshoot of the corresponding switching node based on the difference between the maximum pressure value and the steady-state pressure value of each pressure data segment; The set of pressure overshoot values ​​of all switching nodes is taken as the pressure overshoot value during the operating condition switching process.

[0007] Preferably, determining the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator specifically includes: The reference temperature difference between the evaporator inlet and outlet is determined based on historical steady-state operating data. Determine the rate of change of temperature difference of refrigerant on both sides of the evaporator at each switching node; An evaluation model is constructed based on the pressure overshoot, the reference temperature difference, and all the temperature difference change rates to characterize the operational stability of the heat pump unit during the switching of operating conditions. The dynamic stability index of the heat pump unit during the operating condition switching process is determined by the evaluation model.

[0008] Preferably, determining the tracking cost of battery temperature control during the operating condition switching process of the heat pump unit specifically includes: Acquire the target tracking curve of battery temperature during the operating condition switching process; Extract the actual temperature change curve of the battery during the operating condition switching process from the response data; Determine the mean square error between the target tracking curve and the actual change curve; The tracking cost of battery temperature control during the operating condition switching process of the heat pump unit is determined based on the mean square error and the preset temperature tolerance.

[0009] Preferably, the power regulation amount is correlated and corrected based on the dynamic stability index and the tracking cost to obtain the compressor's power correction factor, specifically including: Determine the reliable control range of the power regulation amount; The power compensation coefficient of the compressor during the operating condition switching process is determined based on the reliable control range, the dynamic stability index, and the tracking cost. The power adjustment amount is corrected by the power compensation coefficient to obtain the power correction factor of the compressor.

[0010] Preferably, the balanced regulation of compressor output power during operating condition switching based on the power correction factor specifically includes: Obtain the compressor's power configuration command; The power configuration command is broken down into sub-command sets for the operating condition switching phase and the steady-state phase; The sub-instruction set for the operating condition switching phase is adjusted according to the power correction factor; The power control unit adjusts the output power of the compressor during the switching phase according to the adjusted sub-instruction set.

[0011] Preferably, the battery management system is applied to an energy storage power station.

[0012] Secondly, this application provides a battery management system, including a heat pump control unit, the heat pump control unit comprising: The data acquisition module is used to collect response data of the heat pump unit during the switching of operating conditions; The processing module is used to extract the refrigerant pressure overshoot during the operating condition switching process from the response data, and then determine the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator. The processing module is also used to determine the tracking cost of battery temperature control during the switching of operating conditions of the heat pump unit. The processing module is also used to obtain the power regulation amount of the compressor during the operating condition switching process, and to perform correlation correction on the power regulation amount based on the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor. The execution module is used to balance and regulate the compressor output power during the operating condition switching process according to the power correction factor.

[0013] Thirdly, this application provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor configured to acquire the code and execute the heat pump control method in the battery management system described above.

[0014] Fourthly, this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the heat pump control method in the battery management system described above.

[0015] The technical solutions provided by the embodiments disclosed in this application have the following beneficial effects: In this embodiment, response data of the heat pump unit during the operating condition switching process is collected. The response data includes refrigerant pressure data, refrigerant temperature data, battery temperature data, and compressor power consumption data. The refrigerant pressure overshoot during the operating condition switching process is extracted from the response data. Then, based on the pressure overshoot and the rate of change of the temperature difference between the refrigerant on both sides of the evaporator, the dynamic stability index of the heat pump unit during the operating condition switching process is determined. The tracking cost of battery temperature control during the operating condition switching process is determined. The power regulation amount of the compressor during the operating condition switching process is obtained, and the power regulation amount is correlated and corrected according to the dynamic stability index and the tracking cost to obtain the compressor power correction factor. The compressor output power is balanced and regulated during the operating condition switching process based on the power correction factor.

[0016] Therefore, this application uses a dynamic stability index and tracking cost to correlate and correct the power regulation amount, obtaining the compressor's power correction factor. Then, based on this power correction factor, the compressor's output power is balanced and regulated during operating condition switching. First, by real-time acquisition of thermodynamic parameters such as refrigerant flow rate, suction and discharge temperatures, and evaporator / condenser pressure difference, an operating condition identification mechanism reflecting the system's heat exchange state is established. This mechanism helps determine which switching stage the heat pump is in, thus providing a timing reference for subsequent regulation. Second, based on the pressure overshoot and the rate of change of refrigerant temperature difference on both sides of the evaporator, the dynamic stability index of the heat pump unit during operating condition switching is determined. The dynamic stability index effectively reflects the dynamic stability level of the heat pump unit during switching, facilitating the establishment of a direct correlation between the compressor power regulation strategy and system stability. Finally, by analyzing the tracking cost of battery temperature control, the battery... The sensitivity of thermal response to changes in compressor output power enables a closed-loop feedback mechanism that incorporates battery temperature control accuracy into the power regulation model, further enhancing the coordination and consistency between compressor control and battery demand. Finally, by integrating the dynamic stability index and tracking cost, the actual power regulation of the compressor is correlated and corrected, generating a power correction factor that reflects the joint constraints of system stability and battery thermal management accuracy. This improves the targeting and robustness of power regulation decisions. Furthermore, based on the power correction factor, balanced regulation of the compressor output power is performed, achieving real-time balance between compressor operating status and thermal load demand. This effectively reduces frequent start-stop cycles and sudden power jumps, fundamentally enhancing the adaptability and operating efficiency of the heat pump unit under dynamic conditions. In summary, the proposed solution enables dynamic balanced power regulation of the heat pump during operating condition switching, thereby improving the robustness of the heat pump regulation unit under non-steady-state conditions. Attached Figure Description

[0017] Figure 1This is an exemplary flowchart of a heat pump control method in a battery management system according to some embodiments of this application; Figure 2 This is a schematic diagram illustrating an application scenario of a heat pump control unit in a battery management system according to some embodiments of this application; Figure 3 This is a schematic flowchart illustrating the determination of tracking costs according to some embodiments of this application; Figure 4 This is a schematic diagram of the structure of a heat pump control unit according to some embodiments of this application; Figure 5 This is a schematic diagram of the structure of a computer device that implements a heat pump control method in a battery management system, according to some embodiments of this application. Detailed Implementation

[0018] To better understand the technical solution of this application, the technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0019] refer to Figure 1 The figure is an exemplary flowchart of a heat pump control method in a battery management system according to some embodiments of this application. The heat pump control method in the battery management system mainly includes the following steps: In step 101, response data of the heat pump unit during the operating condition switching process is collected. The response data includes refrigerant pressure data, refrigerant temperature data, battery temperature data, and compressor power consumption data.

[0020] It should be noted that the battery management system in this application is applied to an energy storage power station; it should also be noted that the operating condition switching in this application refers to the process by which the heat pump unit switches from one operating mode to another under load demand, specifically including: switching from cooling mode to heating mode, switching from heating mode to cooling mode, entering the operating state from standby state, and switching operating parameters at different ambient temperatures to adapt to battery thermal management requirements.

[0021] In some embodiments, response data of the heat pump unit during operating condition switching can be collected by a sensor module. The sensor module refers to a combination device integrating multiple sensors and their signal conditioning and data transmission interfaces, used to synchronously collect multiple parameters of the target system's operating status. Specifically, a sensor module composed of pressure, temperature, and power sensors integrated into key parts of the heat pump unit is deployed at the evaporator inlet, outlet, battery coolant channel, and compressor power supply line, respectively, to collect data such as refrigerant pressure, refrigerant temperature, battery temperature, and compressor power consumption in real time. The sensor module is connected to a data acquisition unit and records the dynamic response of the heat pump unit during operating condition switching at a high frequency through a synchronous sampling mechanism. The raw data is preprocessed by filtering and timestamp alignment and then stored in a local cache or uploaded to the central controller. It should be noted that the response data in this application includes refrigerant pressure data, refrigerant temperature data, battery temperature data, and compressor power consumption data.

[0022] In some embodiments, reference Figure 2 As shown in the figure, this figure is a schematic diagram of the application scenario of the heat pump control unit in the battery management system shown in some embodiments of the present invention. The figure includes three main components: a data acquisition device, a server, and a controller. The data acquisition device is used to collect the response data of the heat pump unit during the switching process of the operating conditions, and send the response data to the server through the communication network. The execution code of the heat pump control unit is run in the server, and finally the server transmits the processed execution power command to the controller for execution.

[0023] In step 102, the refrigerant pressure overshoot during the operating condition switching process is extracted from the response data, and then the dynamic stability index of the heat pump unit during the operating condition switching process is determined based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator.

[0024] In some embodiments, extracting the refrigerant pressure overshoot during the operating condition switching process from the response data can be achieved using the following steps: Determine the switching node for each operating condition change of the heat pump unit; The pressure data of the refrigerant at the evaporator inlet is filtered from the response data, and then the pressure data segment within the set time window before and after each switching node is extracted; Calculate the pressure overshoot of the corresponding switching node based on the difference between the maximum pressure value and the steady-state pressure value of each pressure data segment; The set of pressure overshoot values ​​of all switching nodes is taken as the pressure overshoot value during the operating condition switching process.

[0025] It should be noted that the switching node in this application refers to the time point at which the heat pump unit changes its operating mode or operating condition, which is usually manifested as the boundary position of control signal change or key parameter sudden change; the pressure overshoot in this application is a characteristic index for measuring the transient response amplitude of the heat pump unit during the operating condition switching process, and is used to reflect the dynamic fluctuation degree of the system to the switching disturbance.

[0026] In specific implementation, determining the switching node for each operating condition change of the heat pump unit can be achieved in the following way: Using the operating condition switching control signal or the abrupt change in compressor power, the switching node is identified in the response data based on the first-order differential detection method; that is, the location in the pressure curve where there is a significant slope change. The pressure data of the refrigerant at the evaporator inlet is screened from the response data, and pressure data segments within a set time window before and after each switching node are extracted. This can be achieved in the following way: The evaporator inlet pressure data is then screened, smoothed using a Savitzky-Golay filter, and pressure segments within a set window before and after the switching node are extracted, for example, the first 15 seconds and the last 60 seconds. Based on each pressure data... The pressure overshoot of the corresponding switching node can be calculated by the difference between the maximum pressure value and the steady-state pressure value of each data segment. This can be achieved by extracting the maximum pressure value within each data segment and combining it with the average pressure value within the steady-state segment before the corresponding switching node. The difference between the maximum pressure value and the average pressure value is then used as the pressure overshoot of the corresponding switching node. The steady-state segment can be defined as the stable interval within 15 seconds before the switching node, satisfying a pressure fluctuation standard deviation less than a set threshold. The pressure overshoot set of all switching nodes can be used as the pressure overshoot during the operating condition switching process. This can be achieved by summing the pressure overshoots corresponding to all switching nodes to form a feature set reflecting the pressure response fluctuations throughout the entire operating condition switching process.

[0027] In some embodiments, determining the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the rate of temperature difference change of the refrigerant on both sides of the evaporator can be achieved by the following steps: The reference temperature difference between the evaporator inlet and outlet is determined based on historical steady-state operating data. Determine the rate of change of temperature difference of refrigerant on both sides of the evaporator at each switching node; An evaluation model is constructed based on the pressure overshoot, the reference temperature difference, and all the temperature difference change rates to characterize the operational stability of the heat pump unit during the switching of operating conditions. The dynamic stability index of the heat pump unit during the operating condition switching process is determined by the evaluation model.

[0028] It should be noted that the historical steady-state operating data in this application refers to the operating parameter data collected by the heat pump unit under a long-term stable operating state without any operating condition switching; the reference temperature difference in this application refers to the average difference in refrigerant temperature between the evaporator inlet and outlet under steady-state operating conditions, used to measure the heat exchange capacity under normal operating conditions; the temperature difference change rate in this application is an indicator that measures the rate of change of the evaporator heat exchange state during the operating condition switching process of the heat pump unit, reflecting the dynamic response capability of the system to heat load disturbances; the evaluation model in this application is a multi-factor comprehensive evaluation model used to characterize the operating stability of the heat pump unit during the operating condition switching process. It constructs an evaluation index system by integrating three dynamic characteristic factors: pressure overshoot, reference temperature difference, and temperature difference change rate. The model principle is based on the stability criterion for disturbance response in control system theory. It uses normalization processing to unify each index into a dimensionless space, and then constructs a weighted linear function according to set weights, outputting a stability score as a dynamic stability index; it should also be noted that the dynamic stability index in this application is a characteristic index that measures the level of stability of the output parameters of the heat pump unit during the operating condition switching process.

[0029] In specific implementation, the reference temperature difference between the evaporator inlet and outlet can be determined based on historical steady-state operating data in the following way: Based on historical steady-state operating data, the refrigerant temperature at the evaporator inlet and outlet during the steady-state phase is selected, and the difference between their mean values ​​is calculated as the reference temperature difference to characterize the heat exchange level under normal operating conditions. The rate of change of the refrigerant temperature difference on both sides of the evaporator at each switching node can be determined as follows: For each identified switching node, a symmetrical time window is set before and after it, for example, ±15 seconds. The temperature data curves of the evaporator inlet and outlet within this segment are further extracted, and the rate of change of the temperature difference on both sides over time is estimated using gradient estimation to obtain the rate of change of the temperature difference at the corresponding switching node. Based on the pressure overshoot, the reference temperature difference, and all the rates of change of temperature difference, a characterization mechanism is constructed to represent the heat pump unit during the operating condition switching process. The operational stability assessment model can be implemented as follows: By integrating the pressure overshoot, temperature difference rate of change, and reference temperature difference of each switching node, the indicators are normalized using the z-score normalization method to convert them into the same dimensional range, and an operational stability assessment model is constructed. The assessment model can use a weighted linear function. Specifically, the weighted linear function in this application is: Stability Index = A * Normalized Pressure Overshoot + B * Normalized Temperature Difference Rate of Change / Reference Temperature Difference, where the weights A and B can be set based on experimental verification or empirical data. The dynamic stability index of the heat pump unit during the operating condition switching process can be determined by the assessment model as follows: The stability of each switching node is scored using the assessment model, and the average of all scores is used as the dynamic stability index of the heat pump unit during the operating condition switching process.

[0030] In step 103, the tracking cost of battery temperature control during the switching of operating conditions of the heat pump unit is determined.

[0031] In some embodiments, reference Figure 3 As shown in the figure, this is a flowchart illustrating the process of determining the tracking cost in some embodiments of this application. In this embodiment, the tracking cost of battery temperature control during the switching of operating conditions of the heat pump unit can be determined in the following manner: In step 1031, the target tracking curve of battery temperature during the operating condition switching process is obtained; In step 1032, the actual temperature change curve of the battery during the operating condition switching process is extracted from the response data; In step 1033, the mean square error between the target tracking curve and the actual change curve is determined; In step 1034, the tracking cost of battery temperature control during the operation switching process of the heat pump unit is determined based on the mean square error and the preset temperature tolerance.

[0032] It should be noted that the mean square error in this application is an indicator used to measure the overall deviation between the actual temperature and the target temperature; the tracking cost in this application is an indicator used to measure the accuracy of battery temperature control during the switching of operating conditions of the heat pump unit, reflecting the degree of deviation of the actual temperature control response from the target curve.

[0033] In specific implementation, the target tracking curve of battery temperature during the operating condition switching process can be obtained in the following way: A target tracking curve of battery temperature during the operating condition switching period is set according to the thermal management strategy, serving as the temperature change trajectory expected by the system. The actual change curve of battery temperature during the operating condition switching process can be extracted from the response data in the following way: The actual battery temperature sequence corresponding to the target time axis, i.e., the actual change curve, is extracted from the collected response data, and time synchronization or interpolation correction is used to ensure a one-to-one correspondence between the target tracking curve and the actual change curve at each moment. The mean square error between the target tracking curve and the actual change curve can be determined in the following way: The difference between the target temperature value and the actual temperature value is calculated item by item at each time node, and the average of these squared differences is obtained to obtain the target tracking curve. The mean square error between the line and the actual change curve reflects the average deviation between the actual curve and the target curve. The tracking cost of battery temperature control during operating condition switching of the heat pump unit can be determined by the following method based on the mean square error and the preset temperature tolerance: the average deviation is compared with the square of the preset temperature tolerance, and this ratio is used as the tracking cost of battery temperature control. The larger the value, the more severe the deviation of the actual temperature from the target, reflecting the degree of decline in heat pump temperature control performance. It should be further noted that the temperature tolerance refers to the maximum error range that the battery temperature is allowed to deviate from the target temperature during operating condition switching of the heat pump unit. It is usually set by the thermal management strategy and can be determined through the 95% confidence interval of battery temperature control error in long-term operating data or engineering experience values, which will not be elaborated here.

[0034] In step 104, the power regulation amount of the compressor during the operating condition switching process is obtained, and the power regulation amount is correlated and corrected according to the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor.

[0035] It should be noted that, in this application, obtaining the power regulation amount of the compressor during the operating condition switching process refers to obtaining the actual adjustment value issued by the heat pump control system for adjusting the compressor power during the operating condition switching phase; the power regulation amount refers to the power value set or adjusted by the heat pump system controller when adjusting the compressor output power to achieve the predetermined operating target.

[0036] In some embodiments, the power regulation amount is correlated and corrected based on the dynamic stability index and the tracking cost to obtain the compressor's power correction factor, which can be achieved by the following steps: Determine the reliable control range of the power regulation amount; The power compensation coefficient of the compressor during the operating condition switching process is determined based on the reliable control range, the dynamic stability index, and the tracking cost. The power adjustment amount is corrected by the power compensation coefficient to obtain the power correction factor of the compressor.

[0037] It should be noted that the reliable control range in this application refers to the reasonable adjustment range of the compressor power control amount that is allowed under the condition of meeting the safety and performance requirements of the equipment; the power compensation coefficient in this application refers to the adjustment coefficient used to correct the power deviation of the compressor during the switching of operating conditions; the power correction factor in this application refers to the adjustment parameter that characterizes the degree of deviation between the target power and the actual output power of the compressor during the switching of operating conditions, and is used to guide the power control strategy to achieve dynamic balance adjustment.

[0038] In specific implementation, the reliable control range of the power regulation amount can be determined in the following way: Based on the equipment technical specifications and safe operation requirements, a reliable control range for the compressor power regulation amount can be set, i.e., the upper and lower limits of allowed power adjustment, to ensure that power adjustment does not exceed physical or safety limits. The power compensation coefficient of the compressor during operating condition switching can be determined based on the reliable control range, the dynamic stability index, and the tracking cost in the following way: The calculation range of the power compensation coefficient is limited by the reliable control range to prevent power adjustment from exceeding the system's tolerance limits. A multi-factor weighted fusion algorithm is used, with the dynamic stability index and tracking cost as input variables, combined with weight parameters, to calculate the power compensation coefficient reflecting the overall operating state of the system. Common algorithms include linear weighting, fuzzy logic reasoning, or multi-objective optimization models to ensure that the compensation coefficient comprehensively reflects system stability and temperature control deviation. It should be noted that the weight parameters can be determined through regression analysis of historical operating data or expert experience. In the process of calculating the power compensation coefficient, to ensure the uniformity of the dimensions and the consistency of the numerical scale of the dynamic stability index and the tracking cost, normalization processing is required. This processing eliminates the influence of different dimensions and numerical ranges by mapping index values ​​to a unified dimensionless range (such as between 0 and 1), ensuring that the weight allocation of subsequent multi-factor weighted fusion is reasonable and the results are stable and reliable. The power correction factor of the compressor can be obtained by correcting the power regulation amount through the power compensation coefficient in the following way: the power correction factor of the compressor can be obtained by multiplying the power compensation coefficient and the power regulation amount, thereby realizing the dynamic adjustment of the compressor output power. The method of this application effectively utilizes feedback information to achieve fine control of power regulation, significantly improves the stability of the system and the accuracy of battery temperature control during the switching of operating conditions, and avoids equipment oscillation and increased energy consumption caused by excessive power regulation, thus promoting the efficient and safe operation of the heat pump system.

[0039] In step 105, the compressor output power is balanced and regulated during the operating condition switching process according to the power correction factor.

[0040] In some embodiments, the equalization and regulation of the compressor output power during the operating condition switching process based on the power correction factor can be achieved by the following steps: Obtain the compressor's power configuration command; The power configuration command is broken down into sub-command sets for the operating condition switching phase and the steady-state phase; The sub-instruction set for the operating condition switching phase is adjusted according to the power correction factor; The power control unit adjusts the output power of the compressor during the switching phase according to the adjusted sub-instruction set.

[0041] It should be noted that the power configuration instruction in this application refers to the target instruction set generated by the control system based on the current operating requirements for setting the compressor output power change process, including the power target value and its corresponding time scheduling information.

[0042] In specific implementation, the power configuration command of the compressor can be obtained in the following way: the initial power configuration command of the compressor is obtained from the heat pump control system. This command is usually presented in the form of a time-power curve, which includes a preset adjustment strategy for the target power to change with the operating conditions. The power configuration command is decomposed into sub-command sets for the operating condition switching stage and the steady-state stage. This can be achieved by using time series segmentation technology to decompose the overall command into two core sub-command sets, corresponding to the operating condition switching stage and the steady-state stage respectively, which facilitates differentiated control for different stages. The sub-command set for the operating condition switching stage is adjusted according to the power correction factor. This can be achieved by using the power correction factor as a power compensation item in the sub-command set corresponding to the operating condition switching stage, so that the balance compensation during the operating condition switching process can be completed through the power compensation item. The output power of the compressor during the operating condition switching stage is adjusted by the power control unit according to the adjusted sub-command set. This can be achieved by executing the adjusted sub-command set by the power control unit, thereby completing the output power compensation of the compressor during the operating condition switching process.

[0043] It should be further explained that this application addresses the technical bottlenecks of poor operational stability and lag in power regulation response of heat pump units in energy storage devices. Focusing on the dynamic power balance problem during heat pump operating condition switching, it constructs an adaptive power regulation strategy driven by refrigerant transient state parameters and battery thermal response characteristics. This forms a compressor control mechanism that can sense heat load changes in real time and respond quickly, achieving dynamic matching between compressor operating power and system heat load. On one hand, the solution extracts key transient characteristic parameters such as refrigerant flow rate, evaporation / condensation pressure, and suction / discharge temperature at operating condition switching nodes as sensing inputs for the dynamic state of the heat pump system. This allows for accurate judgment of compressor load trends before drastic fluctuations in system state, enabling advance adjustment of compressor start / stop frequency and power output curves, and suppression of short-term pressure overshoot. On the one hand, considering the phenomenon, and on the other hand, by combining the battery pack temperature change rate and thermal buffering capacity, a thermal response closed-loop regulation model is introduced, enabling the compressor regulation process and the battery target temperature zone control to form a feedback linkage mechanism. This effectively reduces unnecessary high-frequency compressor regulation while ensuring thermal management accuracy. In addition, by incorporating external disturbance factors such as ambient temperature and battery state of charge into the power regulation model, the optimal power configuration of the heat pump under multi-variable dynamic constraints is achieved, effectively improving the system's energy efficiency ratio and temperature control response speed. Overall, the solution overcomes the limitations of existing heat pump control's reliance on fixed models through multi-source parameter fusion, feedback regulation, and state prediction technologies. It achieves flexible adjustment of compressor power and dynamic stability of system operation under non-steady-state conditions, providing technical support for energy saving, consumption reduction, and precise temperature control in the thermal management system.

[0044] On the other hand, in some embodiments, this application provides a battery management system including a heat pump control unit, referenced to... Figure 4 The figure is a schematic diagram of the structure of a heat pump control unit according to some embodiments of this application. The heat pump control unit 400 includes: a data acquisition module 401, a processing module 402, and an execution module 403, which are described below: The acquisition module 401 in this application is mainly used to acquire the response data of the heat pump unit during the operating condition switching process; Processing module 402, in this application, is used to extract the refrigerant pressure overshoot during the operating condition switching process from the response data, and then determine the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator. In this application, the processing module 402 is also used to determine the tracking cost of battery temperature control during the switching of operating conditions of the heat pump unit; In this application, the processing module 402 is also used to obtain the power regulation amount of the compressor during the operating condition switching process, and to perform correlation correction on the power regulation amount based on the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor. The execution module 403 in this application is mainly used to balance and regulate the output power of the compressor during the operating condition switching process according to the power correction factor.

[0045] In addition, this application also provides a computer device, the computer device including a memory and a processor, the memory storing code, and the processor being configured to acquire the code and execute the heat pump control method in the battery management system described above.

[0046] In some embodiments, reference Figure 5 The figure is a schematic diagram of the structure of a computer device implementing a heat pump control method in a battery management system according to some embodiments of this application. The heat pump control method in the battery management system in the above embodiments can be implemented through... Figure 5 The computer device shown is used to implement this, and the computer device 500 includes at least one processor 501, a communication bus 502, a memory 503, and at least one communication interface 504.

[0047] Processor 501 can be a general-purpose central processing unit (CPU) or an application-specific integrated circuit (ASIC).

[0048] The communication bus 502 can be used to transmit information between the aforementioned components.

[0049] Memory 503 may be a read-only memory (ROM) or other type of static storage device capable of storing static information and instructions, random access memory (RAM) or other type of dynamic storage device capable of storing information and instructions, or electrically erasable programmable read-only memory (EEPROM), compact disc read-only memory (CDROM) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital versatile optical discs, Blu-ray discs, etc.), magnetic disks or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto. Memory 503 may exist independently and be connected to processor 501 via communication bus 502. Memory 503 may also be integrated with processor 501.

[0050] The memory 503 stores program code for executing the scheme of this application, and its execution is controlled by the processor 501. The processor 501 executes the program code stored in the memory 503. The program code may include one or more software modules. In the above embodiments, the heat pump control method in the battery management system can be implemented by the processor 501 and one or more software modules in the program code in the memory 503.

[0051] Communication interface 504 uses any transceiver-like device to communicate with other devices or communication networks, such as Ethernet, radio access network (RAN), wireless local area networks (WLAN), etc.

[0052] In a specific implementation, as one example, a computer device may include multiple processors, each of which may be a single-core (single CPU) processor or a multi-core (multi CPU) processor. Here, a processor may refer to one or more devices, circuits, and / or processing cores used to process data (e.g., computer program instructions).

[0053] The aforementioned computer device can be a general-purpose computer device or a special-purpose computer device. In specific implementations, the computer device can be a desktop computer, a portable computer, a network server, a handheld digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, or an embedded device. This application does not limit the type of computer device.

[0054] In addition, this application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the heat pump control method in the battery management system described above.

[0055] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0056] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for regulating a heat pump in a battery management system, the battery management system comprising a heat pump unit and a heat pump regulating unit, the heat pump unit comprising an evaporator and a compressor, the method comprising: The method comprises the following steps: ​ Collecting response data of the heat pump unit during the working condition switching process, the response data comprising refrigerant pressure data, refrigerant temperature data, battery temperature data and compressor power consumption data; Extracting a pressure overshoot of the refrigerant during the working condition switching process from the response data, and then determining a dynamic stability index of the heat pump unit during the working condition switching process based on the pressure overshoot and a temperature difference change rate of the refrigerant on both sides of the evaporator; Determining a tracking cost of the battery temperature control of the heat pump unit during the working condition switching process; Obtaining a power regulation amount of the compressor during the working condition switching process, and correlatively correcting the power regulation amount according to the dynamic stability index and the tracking cost to obtain a power correction factor of the compressor; Balancing and regulating the output power of the compressor during the working condition switching process according to the power correction factor.

2. The method of claim 1, wherein, The extracting of the pressure overshoot of the refrigerant during the working condition switching process from the response data specifically comprises: Determining a switching node of each working condition switching of the heat pump unit; Screening pressure data of the refrigerant at the inlet of the evaporator from the response data, and then intercepting a pressure data segment within a set time window before and after each switching node; Calculating a pressure overshoot of the corresponding switching node according to a difference between a maximum pressure value of each pressure data segment and a steady-state pressure value; Collecting pressure overshoots of all switching nodes as the pressure overshoot during the working condition switching process.

3. The method of claim 1, wherein, The determining of the dynamic stability index of the heat pump unit during the working condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator specifically comprises: Determining a reference temperature difference between the inlet and the outlet of the evaporator according to historical steady-state operation data; Determining a temperature difference change rate of the refrigerant on both sides of the evaporator at each switching node; Constructing an evaluation model for representing the running stability of the heat pump unit during the working condition switching process based on the pressure overshoot, the reference temperature difference and all temperature difference change rates; Determining the dynamic stability index of the heat pump unit during the working condition switching process from the evaluation model.

4. The method of claim 1, wherein, The determining of the tracking cost of the battery temperature control of the heat pump unit during the working condition switching process specifically comprises: Obtaining a target tracking curve of the battery temperature during the working condition switching process; Extracting an actual change curve of the battery temperature during the working condition switching process from the response data; Determining a mean square error between the target tracking curve and the actual change curve; Determining the tracking cost of the battery temperature control of the heat pump unit during the working condition switching process according to the mean square error and a preset temperature tolerance.

5. The method of claim 1, wherein, The correlatively correcting of the power regulation amount according to the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor specifically comprises: Determining a credible regulation interval of the power regulation amount; Determining a power compensation coefficient of the compressor during the working condition switching process according to the credible regulation interval, the dynamic stability index and the tracking cost; Correcting the power regulation amount through the power compensation coefficient to obtain the power correction factor of the compressor.

6. The method of claim 1, wherein, The balancing and regulating of the output power of the compressor during the working condition switching process according to the power correction factor specifically comprises: Obtaining a power configuration instruction of the compressor; The power configuration command is broken down into sub-command sets for the operating condition switching phase and the steady-state phase; The sub-instruction set for the operating condition switching phase is adjusted according to the power correction factor; The power control unit adjusts the output power of the compressor during the switching phase according to the adjusted sub-instruction set.

7. The method of claim 1, wherein, The battery management system is used in energy storage power stations.

8. A battery management system comprising a heat pump regulation unit, characterized in that, The heat pump control unit includes: The data acquisition module is used to collect response data of the heat pump unit during the switching of operating conditions; The processing module is used to extract the refrigerant pressure overshoot during the operating condition switching process from the response data, and then determine the dynamic stability index of the heat pump unit during the operating condition switching process based on the pressure overshoot and the temperature difference change rate of the refrigerant on both sides of the evaporator. The processing module is also used to determine the tracking cost of battery temperature control during the switching of operating conditions of the heat pump unit. The processing module is also used to obtain the power regulation amount of the compressor during the operating condition switching process, and to perform correlation correction on the power regulation amount based on the dynamic stability index and the tracking cost to obtain the power correction factor of the compressor. The execution module is used to balance and regulate the compressor output power during the operating condition switching process according to the power correction factor. 9.A computer device, comprising a memory and a processor, wherein the memory stores code, and the code comprises the following steps: The processor is configured to acquire the code and execute the heat pump control method in the battery management system as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, the computer program comprising instructions that, when executed by a computer, cause the computer to perform the method of any one of claims 1 to 9. When the computer program is executed by the processor, it implements the heat pump control method in the battery management system as described in any one of claims 1 to 7.

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