Intelligent control method, system and equipment for parking air conditioner of heavy truck and medium

Abstract

The invention provides an intelligent control method, system and equipment for a parking air conditioner of a heavy truck and a medium, and belongs to the technical field of new energy. The method comprises the steps that S1, the state of charge SOC and the state of health SOH of a vehicle-mounted lithium battery are obtained in real time; s2, dynamically calculating an action threshold value of a state of charge (SOC) through a linear compensation model according to the SOH; s3, according to the state of charge SOC, the allowable operation power of the parking air conditioner is dynamically calculated through a Sigmoid function; and S4, according to the allowable operation power, the operation power of the parking air conditioner is limited. Smooth adjustment of the power of the parking air conditioner is achieved, operation pause is avoided, self-adaptive threshold adjustment can be carried out according to the SOH of the battery, and therefore full-life-cycle protection is provided for the battery.

Description

Technical Field

[0001] This invention belongs to the field of new energy technology, and in particular relates to an intelligent control method, system, equipment and medium for a heavy-duty truck parking air conditioner. Background Technology

[0002] With the development of the heavy-duty truck logistics industry, the demand for driver comfort during rest periods while parked is increasing, and parking air conditioning has become standard equipment on many trucks. Parking air conditioning is typically powered by an onboard low-voltage lithium battery, and the quality of its control strategy directly affects user experience, battery life, and overall vehicle energy efficiency. Therefore, how to intelligently, efficiently, and safely manage the operation of parking air conditioning is an important issue in truck energy management systems.

[0003] In existing technologies, to solve the power supply and control problems of parking air conditioners, a control strategy based on a fixed state of charge (SOC) threshold is typically adopted. For example, one or more fixed SOC thresholds are set. When the battery charge is higher than a certain threshold, the parking air conditioner is allowed to operate at full power; when the charge is lower than the threshold, the parking air conditioner is directly limited or turned off to prevent the battery from over-discharging and causing the vehicle to fail to start.

[0004] However, the aforementioned control method based on a fixed SOC threshold has significant shortcomings. First, this method makes a step-like adjustment to the parking air conditioner power at the SOC threshold, causing sudden changes in air conditioner operating power and significant fluctuations in cooling / heating effects, resulting in a poor user experience. Second, this method does not consider the actual situation where lithium battery performance degrades with usage cycles and natural aging, i.e., its State of Health (SOH) continuously decreases. For aged batteries, if the fixed SOC threshold set for new batteries is still used, their actual capacity decreases, making them more prone to deep discharge, thus accelerating battery aging and even affecting driving safety, failing to provide adaptive protection for the battery throughout its entire life cycle. Summary of the Invention

[0005] This invention provides an intelligent control method, system, device, and medium for a heavy-duty truck parking air conditioner, which at least solves the problems of sudden power output changes and poor user experience caused by the control strategy based on a fixed SOC threshold in the prior art, as well as the inability to provide adaptive protection for the battery throughout its entire life cycle by not considering the impact of battery health state SOH degradation.

[0006] In a first aspect, embodiments of this application provide an intelligent control method for a heavy-duty truck parking air conditioner, the method comprising: Step S1: Real-time acquisition of the State of Charge (SOC) and State of Health (SOH) of the vehicle lithium battery; Step S2: Based on the health state SOH, dynamically calculate the action threshold of the state of charge SOC using a linear compensation model; Step S3: Based on the state of charge (SOC), dynamically calculate the allowable operating power of the parking air conditioner using the Sigmoid function; Step S4: Limit the operating power of the parking air conditioner according to the allowable operating power.

[0007] Further, in step S2, the action threshold of the state of charge (SOC) is dynamically calculated using a linear compensation model, specifically including: Step S21: Calculate the threshold correction amount for the state of charge (SOC), the expression of which is: ; in, For safety redundancy coefficient, ; Step S22: Add the threshold correction amount to the initial action threshold of the state of charge (SOC) to obtain the dynamically adjusted action threshold. The dynamically adjusted action threshold includes a first action threshold and a second action threshold; when the safety redundancy coefficient is taken as... When the first action threshold is obtained, the safety redundancy coefficient is taken as... At that time, the second action threshold is obtained.

[0008] Furthermore, the expression for the Sigmoid function is:

[0009] in, To allow operating power, The preset minimum allowable power for the air conditioner. This is the maximum allowable power of the air conditioner. The center anchor point of the Sigmoid function. The steepness coefficient.

[0010] Furthermore, step S2 also includes: dynamically correcting the center anchor point of the Sigmoid function based on the health state SOH using the linear compensation model, wherein the expression for the center anchor point of the corrected Sigmoid function is: ; In the formula, This represents the center anchor point of the modified Sigmoid function.

[0011] Furthermore, in step S4, limiting the operating power of the parking air conditioner according to the allowable operating power specifically includes: When the state of charge (SOC) is higher than the first action threshold, the parking air conditioner is allowed to operate at the maximum allowable power (Pmax) of the air conditioner. When the state of charge (SOC) is between the first and second action thresholds, the operating power of the parking air conditioner is limited to less than or equal to the allowable operating power. When the state of charge (SOC) is below the second action threshold, the parking air conditioner is prohibited from operating.

[0012] Furthermore, the method also includes: determining whether the vehicle is in driving mode or parking mode; In driving mode, when the vehicle speed exceeds the set value, the power of the parking air conditioner is limited, and the surplus power of the vehicle generator is used to charge the lithium battery. In parking mode, the solar photovoltaic panels are used preferentially to power the parking air conditioner or charge the lithium battery.

[0013] Secondly, embodiments of this application also provide a system for an intelligent control method applied to a heavy-duty truck parking air conditioner as described in the above aspects, the system comprising: The sensor module is used to acquire the state of charge (SOC) and state of health (SOH) of the on-board lithium battery in real time. The threshold adjustment module is used to dynamically calculate the action threshold of the state of charge (SOC) based on the health state (SOH) using a linear compensation model. The power control module is used to dynamically calculate the allowable operating power of the parking air conditioner based on the state of charge (SOC) using the Sigmoid function. The operating power limiting module is used to limit the operating power of the parking air conditioner according to the allowed operating power.

[0014] Furthermore, the threshold adjustment module includes: Threshold correction unit, used to calculate the threshold correction amount for the state of charge (SOC); The threshold adjustment unit is used to add the threshold correction amount to the initial action threshold of the state of charge (SOC) to obtain the dynamically adjusted action threshold.

[0015] Thirdly, an electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the intelligent control method for a heavy-duty truck parking air conditioner as described in the preceding aspects.

[0016] Fourthly, a storage medium storing a computer program that, when executed by a processor, implements the steps of the intelligent control method for a heavy-duty truck parking air conditioner as described in the preceding aspects.

[0017] As can be seen from the above technical solutions, the present invention has the following advantages: The intelligent control method for heavy-duty truck parking air conditioners provided in this application effectively overcomes the shortcomings of fixed threshold strategies that cannot adapt to battery aging by acquiring the state of charge (SOC) and state of health (SOH) of the on-board lithium battery in real time and dynamically calculating the SOC action threshold based on the SOH. It provides a larger safety buffer space for aging batteries, enabling them to be effectively protected throughout their entire life cycle, avoiding the risk of over-discharge due to capacity decay, and significantly improving the safety and durability of the system.

[0018] This invention introduces the Sigmoid function to dynamically calculate the allowable operating power of the parking air conditioner based on the real-time state of charge (SOC), achieving smooth and stepless adjustment of the air conditioner power as the power changes. It eliminates the abrupt power surge at specific threshold points, making the air conditioner run more smoothly and the cooling / heating effect transition naturally, greatly improving the comfort experience of drivers and passengers.

[0019] This invention precisely limits the operating power of the parking air conditioner by combining real-time state of charge (SOC) with dynamically adjusted operating thresholds. When the SOC is higher than the first operating threshold, full power operation is allowed; when it is between the first and second operating thresholds, power is limited according to the result calculated by the Sigmoid function; and when it is lower than the second operating threshold, operation is prohibited. This can maximize the effective working time of the parking air conditioner while ensuring battery safety, thus optimizing energy efficiency.

[0020] This invention acquires and dynamically adjusts battery status parameters in real time, which can optimize air conditioning output based on the battery's real-time state of charge (SOC) and adaptively adjust protection thresholds based on the battery's long-term state of health (SOH), thereby improving the stability of the parking air conditioning system. Attached Figure Description

[0021] To more clearly illustrate the technical solution of this application, the accompanying drawings used in the description will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a flowchart of the intelligent control method for the parking air conditioner of a heavy-duty truck according to the present invention. Detailed Implementation

[0023] To make the purpose, features, and advantages of this application more apparent and understandable, specific embodiments and accompanying drawings will be used to clearly and completely describe the technical solution protected by this application. Obviously, the embodiments described below are only some embodiments of this application, and not all embodiments. Based on the embodiments in this patent, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of this patent.

[0024] This application provides an intelligent control method, system, device, and medium for a heavy-duty truck parking air conditioner, addressing the urgent need for an intelligent control method for heavy-duty truck parking air conditioners to achieve smooth power adjustment of the parking air conditioner, avoid operational jerking, and adaptively adjust thresholds based on the battery health status (SOH), thereby providing full life-cycle protection for the battery.

[0025] The technical solutions proposed in the embodiments of this application will be described in detail below with reference to the accompanying drawings.

[0026] Figure 1 A flowchart illustrating an intelligent control method for a heavy-duty truck parking air conditioner, provided as an embodiment of this application. Figure 1 As shown in the figure, an intelligent control method for a heavy-duty truck parking air conditioner provided in this application embodiment specifically includes the following steps: Step S1: Real-time acquisition of the State of Charge (SOC) and State of Health (SOH) of the vehicle lithium battery; Step S2: Based on the health state SOH, dynamically calculate the action threshold of the state of charge SOC using a linear compensation model; Step S3: Based on the state of charge (SOC), dynamically calculate the allowable operating power of the parking air conditioner using the Sigmoid function; Step S4: Limit the operating power of the parking air conditioner according to the allowable operating power.

[0027] Furthermore, as a refinement and extension of the specific implementation of the above embodiments, in order to fully illustrate the specific implementation process of this embodiment, another intelligent control method for heavy-duty truck parking air conditioners is provided. In step S2, the action threshold of the state of charge (SOC) is dynamically calculated through a linear compensation model, specifically including: Step S21: Calculate the threshold correction amount for the state of charge (SOC), the expression of which is: ; in, For safety redundancy coefficient, ; Step S22: Add the threshold correction amount to the initial action threshold of the state of charge (SOC) to obtain the dynamically adjusted action threshold. The dynamically adjusted action threshold includes a first action threshold and a second action threshold; when the safety redundancy coefficient is taken as... When the first action threshold is obtained, the safety redundancy coefficient is taken as... At that time, the second action threshold is obtained.

[0028] State of Health (SOH) indicates the health status of a lithium battery. Specifically, SOH is a percentage value used to quantify the current state of the battery relative to its brand-new state, indicating its health or aging.

[0029] SOH reflects the overall performance degradation of a battery due to usage cycles and natural aging, including capacity decay and increased internal resistance.

[0030] SOH=100%: This indicates that the battery is in brand new condition, with full capacity and optimal performance.

[0031] SOH < 100% indicates that the battery is aging. SOH = 80% means that the battery's current maximum capacity is only 80% of its original capacity.

[0032] In the formula, The calculation is based on the battery's capacity decay rate.

[0033] For a battery with a health level of 90%, (100-90)=10, which means that its capacity has decreased by 10%.

[0034] Multiplying this degradation rate by a safety redundancy factor K yields the correction amount needed to compensate for various thresholds. The more severe the battery aging and the lower the SOH value, the larger the calculated correction amount.

[0035] For an aging battery (e.g., SOH=80%), if the low charge alarm threshold (e.g., SOC=20%) set for a new battery (SOH=100%) is used, it is easily over-discharged due to its reduced actual capacity, thus causing damage. By dynamically increasing the SOH threshold (e.g., adjusting it to SOC=25%), a larger safety buffer is provided for older batteries.

[0036] By sensing the battery's physical condition through SOH (State of Health), control strategies can be adjusted to ensure safe and efficient service at different stages of aging.

[0037] According to an embodiment of this application, the expression for the Sigmoid function is:

[0038] in, To allow operating power, The preset minimum allowable power for the air conditioner. This is the maximum allowable power of the air conditioner. The center anchor point of the Sigmoid function. The steepness coefficient is the steepness factor. The value range is from 0.05 to 0.2.

[0039] According to another embodiment of the present invention, step S2 further includes: dynamically correcting the center anchor point of the Sigmoid function based on the health state SOH using the linear compensation model, wherein the expression for the center anchor point of the corrected Sigmoid function is: ; In the formula, This represents the center anchor point of the modified Sigmoid function.

[0040] In an exemplary embodiment, step S4, limiting the operating power of the parking air conditioner according to the allowable operating power, specifically includes: When the state of charge (SOC) is higher than the first action threshold, the parking air conditioner is allowed to operate at the maximum allowable power (Pmax) of the air conditioner. When the state of charge (SOC) is between the first and second action thresholds, the operating power of the parking air conditioner is limited to less than or equal to the allowable operating power. When the state of charge (SOC) is below the second action threshold, the parking air conditioner is prohibited from operating.

[0041] It should be noted that the method also includes: determining whether the vehicle is in driving mode or parking mode; In driving mode, when the vehicle speed exceeds the set value, the power of the parking air conditioner is limited, and the surplus power of the vehicle generator is used to charge the lithium battery. In parking mode, the solar photovoltaic panels are used preferentially to power the parking air conditioner or charge the lithium battery.

[0042] The following is an embodiment of the intelligent control system for a heavy-duty truck parking air conditioner provided in this disclosure. This intelligent control system for a heavy-duty truck parking air conditioner belongs to the same inventive concept as the intelligent control methods for heavy-duty truck parking air conditioners in the above embodiments. For details not described in detail in the embodiments of the intelligent control system for a heavy-duty truck parking air conditioner, please refer to the embodiments of the intelligent control methods for heavy-duty truck parking air conditioners described above.

[0043] The system includes: The sensor module is used to acquire the state of charge (SOC) and state of health (SOH) of the on-board lithium battery in real time. The threshold adjustment module is used to dynamically calculate the action threshold of the state of charge (SOC) based on the health state (SOH) using a linear compensation model. The power control module is used to dynamically calculate the allowable operating power of the parking air conditioner based on the state of charge (SOC) using the Sigmoid function. The operating power limiting module is used to limit the operating power of the parking air conditioner according to the allowed operating power.

[0044] As an example, the threshold adjustment module includes: Threshold correction unit, used to calculate the threshold correction amount for the state of charge (SOC); The threshold adjustment unit is used to add the threshold correction amount to the initial action threshold of the state of charge (SOC) to obtain the dynamically adjusted action threshold.

[0045] The intelligent control method for heavy-duty truck parking air conditioners provided in this application embodiment can be applied to electronic devices. Those skilled in the art will understand that the electronic device structure involved in the embodiments of this invention does not constitute a limitation on the electronic device. An electronic device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. In the embodiments of this invention, the electronic device includes, but is not limited to, laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0046] Electronic devices may include processors, external memory interfaces, internal memory, universal serial bus (USB) interfaces, charging management modules, power management modules, batteries, wireless communication modules, audio modules, speakers, microphones, sensor modules, buttons, cameras, displays, and SIM card interfaces, etc.

[0047] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the electronic device. In other embodiments of this application, the electronic device may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0048] A processor may include one or more processing units, such as: a central processing unit (CPU), an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural network processing unit (NPU). Different processing units may be independent devices or integrated into one or more processors.

[0049] The processor can serve as the nerve center and command center of an electronic device. The controller can generate operation control signals based on the instruction opcode and timing signals to control the fetching and execution of instructions.

[0050] The processor may also include memory for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. This memory can store instructions or data that the processor has just used or that are used repeatedly. If the processor needs to use the instruction or data again, it can retrieve it directly from this memory. This avoids repeated accesses, reduces processor latency, and thus improves system efficiency.

[0051] An external storage interface (ESI) can be used to connect external memory cards, such as microSD cards, to expand the storage capacity of electronic devices. The external memory card communicates with the processor through the ESI to perform data storage functions, such as saving music and video files on the external memory card.

[0052] Internal memory can be used to store computer executable program code, which includes instructions. The processor executes various functional applications and data processing of electronic devices by running the instructions stored in internal memory. Internal memory can include a program storage area and a data storage area. Internal memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.

[0053] Wireless communication functionality in electronic devices can be achieved through antennas, wireless communication modules, modem processors, and baseband processors.

[0054] Wireless communication modules can provide solutions for wireless communication applications in electronic devices, including wireless local area networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared (IR) technologies.

[0055] Electronic devices can implement audio functions through audio modules, speakers, receivers, microphones, headphone jacks, and application processors.

[0056] Electronic devices can achieve shooting functions through ISPs, cameras, video codecs, GPUs, displays, and application processors.

[0057] Electronic devices can achieve display functions through GPUs, displays, and application processors.

[0058] A GPU is a microprocessor for image processing, connected to the display screen and application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. A processor may include one or more GPUs, which execute program instructions to generate or modify display information.

[0059] A display screen is used to display images, videos, etc. A display screen includes a display panel.

[0060] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0061] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of devices, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0062] In the embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, apparatuses, or units, or they may be electrical, mechanical, or other forms of connection.

[0063] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a full understanding of embodiments of the invention. However, those skilled in the art will recognize that the technical solutions of the invention can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of the invention.

[0064] The aforementioned electronic device implements the following steps in the intelligent control method for the heavy-duty truck parking air conditioner of this application: Step S1: Real-time acquisition of the state of charge (SOC) and state of health (SOH) of the on-board lithium battery; Step S2: Dynamically calculating the action threshold of the SOC based on the state of health (SOH) using a linear compensation model; Step S3: Dynamically calculating the allowable operating power of the parking air conditioner based on the SOC using a sigmoid function; Step S4: Limiting the operating power of the parking air conditioner based on the allowable operating power, thereby achieving smooth power adjustment of the parking air conditioner, avoiding operational jerks, and enabling adaptive threshold adjustment based on the battery's state of health (SOH), thus providing full life-cycle protection for the battery.

[0065] The storage medium provided in this application stores a program product capable of implementing an intelligent control method for parking air conditioning in heavy-duty trucks.

[0066] The intelligent control method for heavy-duty truck parking air conditioners includes: real-time acquisition of the state of charge (SOC) and state of health (SOH) of the on-board lithium battery; dynamic calculation of the SOC action threshold using a linear compensation model based on the SOH; dynamic calculation of the allowable operating power of the parking air conditioner using a sigmoid function based on the SOC; and limiting the operating power of the parking air conditioner based on the allowable operating power.

[0067] The intelligent control method for heavy-duty truck parking air conditioners provided in this application effectively overcomes the shortcomings of fixed threshold strategies that cannot adapt to battery aging by acquiring the state of charge (SOC) and state of health (SOH) of the on-board lithium battery in real time and dynamically calculating the SOC action threshold based on the SOH. It provides a larger safety buffer space for aging batteries, enabling them to be effectively protected throughout their entire life cycle, avoiding the risk of over-discharge due to capacity decay, and significantly improving the safety and durability of the system.

[0068] This invention introduces the Sigmoid function to dynamically calculate the allowable operating power of the parking air conditioner based on the real-time state of charge (SOC), achieving smooth and stepless adjustment of the air conditioner power as the power changes. It eliminates the abrupt power surge at specific threshold points, making the air conditioner run more smoothly and the cooling / heating effect transition naturally, greatly improving the comfort experience of drivers and passengers.

[0069] This invention precisely limits the operating power of the parking air conditioner by combining real-time state of charge (SOC) with dynamically adjusted operating thresholds. When the SOC is higher than the first operating threshold, full power operation is allowed; when it is between the first and second operating thresholds, power is limited according to the result calculated by the Sigmoid function; and when it is lower than the second operating threshold, operation is prohibited. This can maximize the effective working time of the parking air conditioner while ensuring battery safety, thus optimizing energy efficiency.

[0070] This invention acquires and dynamically adjusts battery status parameters in real time, which can optimize air conditioning output based on the battery's real-time state of charge (SOC) and adaptively adjust protection thresholds based on the battery's long-term state of health (SOH), thereby improving the stability of the parking air conditioning system.

[0071] In some possible implementations, the intelligent control method for a heavy-duty truck parking air conditioner disclosed herein can be implemented as a program product of an intelligent control method for a heavy-duty truck parking air conditioner, which includes program code. When the program product is run on a terminal device, the program code is used to cause the terminal device to perform the steps described in the "Exemplary Methods" section above according to various exemplary embodiments of this disclosure.

[0072] The storage medium disclosed herein may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0073] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0074] Any changes, modifications, substitutions, and variations made to the embodiments without departing from the principles and spirit of the present invention still fall within the protection scope of the present invention.

Claims

1. A method for intelligent control of a parking air conditioner for heavy-duty trucks, characterized in that, The method includes: Step S1: Real-time acquisition of the State of Charge (SOC) and State of Health (SOH) of the vehicle lithium battery; Step S2: Based on the health state SOH, dynamically calculate the action threshold of the state of charge SOC using a linear compensation model; Step S3: Based on the state of charge (SOC), dynamically calculate the allowable operating power of the parking air conditioner using the Sigmoid function; Step S4: Limit the operating power of the parking air conditioner according to the allowable operating power.

2. The method as described in claim 1, characterized in that, In step S2, the action threshold of the state of charge (SOC) is dynamically calculated using a linear compensation model, specifically including: Step S21: Calculate the threshold correction amount for the state of charge (SOC), the expression of which is: ； in, For safety redundancy coefficient, ; Step S22: Add the threshold correction amount to the initial action threshold of the State of Charge (SOC) to obtain the dynamically adjusted action threshold. The dynamically adjusted action threshold includes a first action threshold and a second action threshold; when the safety redundancy coefficient is taken as... When the first action threshold is obtained, and the safety redundancy coefficient is taken as... At that time, the second action threshold is obtained.

3. The method as described in claim 1, characterized in that, The expression for the Sigmoid function is: in, To allow operating power, The preset minimum allowable power for the air conditioner. This is the maximum allowable power of the air conditioner. The center anchor point of the Sigmoid function. The steepness coefficient.

4. The method as described in claim 3, characterized in that, Step S2 further includes: dynamically correcting the center anchor point of the Sigmoid function based on the health state SOH using the linear compensation model. The expression for the center anchor point of the corrected Sigmoid function is: ； In the formula, This represents the center anchor point of the modified Sigmoid function.

5. The method as described in claim 2, characterized in that, In step S4, the operating power of the parking air conditioner is limited according to the allowable operating power, specifically including: When the state of charge (SOC) is higher than the first action threshold, the parking air conditioner is allowed to operate at the maximum allowable power (Pmax) of the air conditioner. When the state of charge (SOC) is between the first and second action thresholds, the operating power of the parking air conditioner is limited to less than or equal to the allowable operating power. When the state of charge (SOC) is below the second action threshold, the parking air conditioner is prohibited from operating.

6. The method as described in claim 1, characterized in that, The method also includes: determining whether the vehicle is in driving mode or parking mode; In driving mode, when the vehicle speed exceeds the set value, the power of the parking air conditioner is limited, and the surplus power of the vehicle generator is used to charge the lithium battery. In parking mode, the solar photovoltaic panels are used preferentially to power the parking air conditioner or charge the lithium battery.

7. A system for applying the intelligent control method of a heavy-duty truck parking air conditioner as described in any one of claims 1-6, characterized in that, The system includes: The sensor module is used to acquire the state of charge (SOC) and state of health (SOH) of the on-board lithium battery in real time. The threshold adjustment module is used to dynamically calculate the action threshold of the state of charge (SOC) based on the health state (SOH) using a linear compensation model. The power control module is used to dynamically calculate the allowable operating power of the parking air conditioner based on the state of charge (SOC) using the Sigmoid function. The operating power limiting module is used to limit the operating power of the parking air conditioner according to the allowed operating power.

8. The system as described in claim 7, characterized in that, The threshold adjustment module includes: Threshold correction unit, used to calculate the threshold correction amount for the state of charge (SOC); The threshold adjustment unit is used to add the threshold correction amount to the initial action threshold of the state of charge (SOC) to obtain the dynamically adjusted action threshold.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the intelligent control method for the parking air conditioner of a heavy-duty truck as described in any one of claims 1-6.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the intelligent control method for the parking air conditioner of a heavy-duty truck as described in any one of claims 1-6.

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