Cabin thermal comfort system control method, equipment and medium

Abstract

The invention relates to a cabin thermal comfort system control method and device and a medium, and the method comprises the steps: obtaining the reserved vehicle use time and the environment parameters of the position of a vehicle; according to the reserved vehicle using time, the current time and the predicted time for the user to arrive at the vehicle, the actual predicted time for the user to arrive at the vehicle is determined; predicting a thermal comfort state when the user gets on the vehicle according to the environmental parameters of the position of the vehicle and the actual prediction time when the user arrives at the vehicle; the optimal temperature of a vehicle cabin and the optimal temperature of the surface of a seat are determined according to the thermal comfort state when the user gets on the vehicle; and controlling the vehicle to adjust the vehicle cabin temperature to the optimal vehicle cabin temperature and adjust the seat surface temperature to the optimal seat surface temperature after the user reaches the actual prediction time of the vehicle. According to the invention, unnecessary energy consumption can be reduced while the thermal comfort of the cabin of the user is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of cabin thermal comfort system control, and in particular to a cabin thermal comfort system control method, equipment and medium. Background Art

[0002] With the continuous improvement of automobile electrification, intelligence and comfort, cabin thermal comfort systems (i.e. cabin air conditioning and seat heating / ventilation devices) have gradually become standard configurations for cars. However, in the current system, the temperature setting of the air conditioning reservation function often depends on the user's personal preference, and in order to ensure thermal comfort, users tend to set the temperature too high or too low. This practice not only unnecessarily increases energy consumption, but may also make the comfort level in the cabin not reach the ideal state, but may reduce the overall riding experience due to overcooling or overheating. At the same time, the seat heating / ventilation device is relatively independently controlled from the air conditioning, and it is impossible to coordinate the energy distribution between the two, and the local thermal comfort of the seat has a significant impact on the overall thermal comfort experience. Summary of the invention

[0003] The technical problem to be solved by the present invention is to provide a method, device and medium for controlling a cabin thermal comfort system, which can improve the thermal comfort of the user in the cabin while reducing unnecessary energy consumption.

[0004] The technical solution adopted by the present invention to solve the technical problem is: to provide a cabin thermal comfort system control method, comprising the following steps:

[0005] Obtain the scheduled vehicle time and environmental parameters of the vehicle's location;

[0006] The actual predicted time for the user to arrive at the vehicle is determined based on the reserved vehicle time, the current time, and the predicted time for the user to arrive at the vehicle;

[0007] Predicting the thermal comfort state of the user when getting on the vehicle based on the environmental parameters of the location of the vehicle and the actual predicted time of the user arriving at the vehicle;

[0008] Determining an optimal vehicle cabin temperature and an optimal seat surface temperature according to the thermal comfort state of the user when getting on the vehicle;

[0009] The vehicle is controlled to adjust the vehicle cabin temperature to the optimal vehicle cabin temperature and the seat surface temperature to the optimal seat surface temperature after the actual predicted time when the user reaches the vehicle has passed.

[0010] The method of determining the actual predicted time for the user to arrive at the vehicle according to the reserved vehicle use time, the current time, and the predicted time for the user to arrive at the vehicle specifically includes:

[0011] Calculate the difference between the current time and the reserved car time;

[0012] Calculate the distance between the vehicle's location and the user's current location, and based on the preset walking speed, predict the time it will take the user to reach the vehicle;

[0013] The smaller one between the difference and the time taken by the user to reach the vehicle is selected as the actual predicted time for the user to reach the vehicle.

[0014] When predicting the thermal comfort state of the user when getting on the vehicle based on the environmental parameters of the vehicle's location and the actual predicted time for the user to reach the vehicle, the Berkely-zhang thermal comfort model is used for prediction. When predicting, the human metabolic rate selects the value corresponding to walking, the clothing thermal resistance uses the clothing thermal resistance that matches the environmental parameters of the vehicle's location, and the calculated step length is the actual predicted time for the user to reach the vehicle.

[0015] The step of determining and calculating the optimal temperature of the vehicle cabin and the optimal temperature of the seat surface according to the thermal comfort state of the user when getting on the vehicle specifically includes:

[0016] The thermal comfort state of the user when getting on the vehicle is set as an initial calculation value, the human body metabolic rate is set to a value corresponding to sitting still, and a target thermal comfort value is calculated;

[0017] Optimize the seat surface temperature to obtain the best seat surface temperature so that the local thermal comfort value reaches the maximum value;

[0018] The vehicle cabin temperature is optimized to obtain the optimal vehicle cabin temperature so that the overall thermal comfort value reaches the target thermal comfort value.

[0019] The step of optimizing the seat surface temperature to obtain the optimal seat surface temperature so that the local thermal comfort value reaches the maximum value specifically includes:

[0020] (A) Setting index pointer T1 and index pointer T2, index pointer T1 points to the minimum value of the seat surface temperature, and index pointer T2 points to the maximum value of the seat surface temperature;

[0021] (B) Calculate the temperature midpoint between index pointer T1 and index pointer T2;

[0022] (C) approximate the derivatives on both sides of the temperature midpoint by numerical methods and calculate the product of the derivatives on both sides of the temperature midpoint;

[0023] (D) adjusting the index pointer T1 and the index pointer T2 according to the derivatives on both sides of the temperature midpoint and the product of the derivatives on both sides of the temperature midpoint;

[0024] (E) Repeat steps (B) to (D) until the stopping condition is met.

[0025] The derivatives of the temperature on both sides of the midpoint in step (C) are given by Calculated, where and are the derivatives on both sides of the temperature midpoint, f(x) is the thermal comfort value corresponding to the temperature x, T mid is the mid-point of temperature, and △T is the step length of seat temperature control.

[0026] The step (D) is specifically:

[0027] If the product of the derivatives on both sides of the temperature midpoint is greater than 0 and the derivatives on both sides of the temperature midpoint are positive, the index pointer T1 is pointed to the temperature midpoint;

[0028] If the product of the derivatives on both sides of the temperature midpoint is greater than 0 and the derivatives on both sides of the temperature midpoint are negative, the index pointer T2 is pointed to the temperature midpoint;

[0029] If the product of the derivatives on both sides of the temperature midpoint is less than 0, the search is stopped and the temperature midpoint is taken as the optimal seat surface temperature.

[0030] The optimizing the vehicle cabin temperature to obtain the optimal vehicle cabin temperature so that the overall thermal comfort value reaches the target thermal comfort value specifically includes:

[0031] (a) Determine the temperature range to be searched according to the current season;

[0032] (b) taking the middle position of the temperature range to be searched as the current search temperature;

[0033] (c) determining whether the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value;

[0034] (d) If the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value, the current search temperature is the optimal temperature of the vehicle cabin;

[0035] (e) if the target thermal comfort value is less than the current search temperature, adjusting the right boundary of the temperature range to be searched to the current search temperature;

[0036] (f) if the target thermal comfort value is greater than the current search temperature, adjusting the left boundary of the temperature range to be searched to the current search temperature;

[0037] (g) Repeat steps (b)-(g) until the optimal vehicle cabin temperature is found.

[0038] The technical solution adopted by the present invention to solve its technical problem is: to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned cabin thermal comfort system control method when executing the computer program.

[0039] The technical solution adopted by the present invention to solve its technical problem is: providing a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the above-mentioned cabin thermal comfort system control method are implemented.

[0040] Beneficial effects:

[0041] Due to the adoption of the above-mentioned technical scheme, the present invention has the following advantages and positive effects compared with the prior art: the present invention couples the air-conditioning system with the seat heating / ventilation device for control, and intelligently regulates the scheduled air-conditioning setting temperature and the seat temperature. When regulating, the present invention takes the thermal comfort value as the regulation target, and sets the temperature by calculating the local and overall thermal sensation / thermal comfort value, thereby achieving the purpose of energy saving and consumption reduction while meeting the comfort needs of passengers. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 4 is a flowchart of a cabin thermal comfort system control method according to a first embodiment of the present invention. DETAILED DESCRIPTION

[0043] The present invention will be further described below in conjunction with specific embodiments. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms fall within the scope limited by the appended claims of the application equally.

[0044] A first embodiment of the present invention relates to a cabin thermal comfort system control method, such as Figure 1 As shown, the following steps are included:

[0045] Step 1, obtaining the reserved vehicle use time and the environmental parameters of the vehicle location, wherein the environmental parameters of the vehicle location include: air temperature, relative humidity, wind speed and sunlight radiation, etc.

[0046] Step 2: Determine the actual predicted time for the user to arrive at the vehicle based on the reserved vehicle time, the current time, and the predicted time for the user to arrive at the vehicle. This step specifically includes:

[0047] Calculate the difference t between the current time and the reserved car time set ;

[0048] Calculate the distance between the vehicle's location and the user's current location, and combine the preset walking speed. Divide the distance by the speed to predict the time t it takes for the user to reach the vehicle. pre ;

[0049] Select the difference t set The time t taken by the user to reach the vehicle pre The smaller of the two is taken as the actual predicted time t for the user to reach the vehicle target .

[0050] Step 3: predict the thermal comfort state TCV of the user when getting on the vehicle based on the environmental parameters of the vehicle's location and the actual predicted time the user will arrive at the vehicle origin In this step, when predicting the thermal comfort state of the user when getting on the vehicle, the Berkely-zhang thermal comfort model is used for prediction. When predicting, the human metabolic rate selects the value 2met corresponding to walking, and the clothing thermal resistance uses the clothing thermal resistance that matches the environmental parameters of the vehicle's location, that is, the corresponding clothing thermal resistance is matched according to the air temperature, relative humidity, wind speed and sunlight radiation. The calculation step length is the actual predicted time t when the user reaches the vehicle. target .

[0051] Step 4: determining the optimal vehicle cabin temperature and the optimal seat surface temperature according to the thermal comfort state of the user when getting on the vehicle.

[0052] In this step, the thermal comfort state TCV of the user when getting on the car is first calculated. origin Set to the initial calculation value, set the human metabolic rate to the value corresponding to sitting still, 1.2met. Since the scene in this implementation is to schedule the air conditioning to be turned on, the cabin can be regarded as a uniform steady-state environment, the temperature at each position in the space is the same, and the wind speed can be regarded as 0. Based on the above parameters, the target thermal comfort value TCV can be calculated. target .

[0053] Since the local thermal state affects the overall thermal state, the thermal comfort value of the back and pelvis that are in contact with the seat is calculated first, and the seat surface temperature is optimized to obtain the optimal seat surface temperature T seat Make the local thermal comfort value reach the maximum value.

[0054] Since the relationship between the thermal comfort value and the temperature value is approximately parabolic, there is a temperature value that maximizes the thermal comfort value, and the derivative values ​​on both sides of the maximum value have opposite signs. Therefore, based on this characteristic, this embodiment uses a binary search method to optimize the seat surface temperature, as follows:

[0055] (A) Setting index pointer T1 and index pointer T2, index pointer T1 points to the minimum value of the seat surface temperature, and index pointer T2 points to the maximum value of the seat surface temperature;

[0056] (B) Calculate the temperature midpoint T between index pointer T1 and index pointer T2 mid ;

[0057] (C) Approximately calculate the temperature midpoint T by numerical method mid The derivative of both sides and calculate the temperature at the midpoint T mid The product of the derivatives on both sides; where the temperature at the midpoint T mid The derivatives on both sides are obtained by Calculated, among which, and The temperature midpoint T mid The derivatives on both sides, f(x) is the thermal comfort value corresponding to the temperature x, and △T is the seat temperature control step, usually 0.5℃ or 1℃.

[0058] (D) According to the temperature midpoint T mid Derivatives on both sides and temperature midpoint T mid The product of the derivatives on both sides adjusts the index pointer T1 and the index pointer T2, specifically:

[0059] If the temperature at the middle point T mid The product of the derivatives on both sides is greater than 0 and the temperature is at the midpoint T mid If the derivatives on both sides are positive, it means that the maximum temperature is on the right side, then the index pointer T1 is pointed to the middle point of the temperature;

[0060] If the temperature at the middle point T mid The product of the derivatives on both sides is greater than 0 and the temperature is at the midpoint T mid If the derivatives on both sides are negative, it means that the maximum temperature is on the left side, then the index pointer T2 is pointed to the middle point of the temperature;

[0061] If the temperature at the middle point T mid If the product of the derivatives on both sides is less than 0, stop searching and set the temperature midpoint T mid As the optimal seat surface temperature T seat .

[0062] (E) Repeat steps (B) to (D) until the stopping condition is met.

[0063] After determining the optimal seat surface temperature, the cabin temperature is optimized. This embodiment also uses a binary search method to find the optimal vehicle cabin temperature T cabin , so that the overall thermal comfort reaches the target thermal comfort value TCV target .

[0064] Since the relationship between temperature and thermal comfort value is similar to a parabola, the target thermal comfort value TCV target There are distributions on both sides of the highest value, that is, there are two temperature values, making the thermal comfort value the target thermal comfort value TCVtarget To further reduce the energy consumption of the air conditioning system, a lower temperature value is selected for winter heating conditions, and a higher temperature value is selected for summer cooling conditions. This embodiment optimizes the vehicle cabin temperature to obtain the optimal vehicle cabin temperature T cabin Make the overall thermal comfort value reach the target thermal comfort value TCV target , specifically including the following steps:

[0065] (a) Determine the temperature range to be searched based on the current season. If it is winter, the temperature range to be searched is [T c1 , T a ], if it is summer now, the temperature range to be searched is [T a , T c2 ], where T a It is the temperature corresponding to the maximum overall thermal comfort.

[0066] (b) taking the middle position of the temperature range to be searched as the current search temperature;

[0067] (c) Determine whether the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value TCV target ;

[0068] (d) If the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value TCV target , then the current search temperature is the optimal temperature T of the vehicle cabin cabin ;

[0069] (e) If the target thermal comfort value TCV target is less than the current search temperature, indicating that the target value is in the left half, and the right boundary of the temperature range to be searched is adjusted to the current search temperature;

[0070] (f) If the target thermal comfort value TCV target is greater than the current search temperature, indicating that the target value is in the right half, and the left boundary of the temperature range to be searched is adjusted to the current search temperature;

[0071] (g) Repeat steps (b)-(g) until the optimal vehicle cabin temperature T is found. cabin .

[0072] It is worth mentioning that in this embodiment, other optimization methods can also be used to find the optimal vehicle cabin temperature T cabin and the optimal temperature of the seat surface, such as Newton's method, ergodic method, interpolation method and other methods.

[0073] Step 5, controlling the vehicle to adjust the vehicle cabin temperature to the optimal vehicle cabin temperature and the seat surface temperature to the optimal seat surface temperature after the actual predicted time that the user will reach the vehicle has passed.

[0074] After step 4, the optimal temperature T of the vehicle cabin is obtained. cabin And the optimal seat surface temperature T seat , and then obtain the cabin air temperature T through the cabin internal sensor cabin0 And the seat surface temperature T seat0 ; The actual predicted time t for the user to reach the vehicle target It has been determined that the cabin thermal comfort system needs to be able to reach the vehicle at the actual predicted time t target The air temperature is changed from the cabin air temperature T cabin0 Adjust to the optimal temperature T in the vehicle cabin cabin The seat temperature is also derived from the seat surface temperature T seat0 Adjust to the optimal seat surface temperature T seat The process can be adjusted according to the actual air conditioning system capacity and seat control capacity to ensure that the user reaches the vehicle at the actual predicted time t target At the end, all temperature parameters reached the preset target values.

[0075] It is not difficult to find that the present invention couples the air-conditioning system with the seat heating / ventilation device for control, and intelligently adjusts the scheduled air-conditioning setting temperature and the seat temperature. When adjusting, the present invention takes the thermal comfort value as the adjustment target, and sets the temperature by calculating the local and overall thermal sensation / thermal comfort value, thereby meeting the comfort needs of the passengers while achieving the purpose of energy saving and consumption reduction.

[0076] A second embodiment of the present invention relates to an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the cabin thermal comfort system control method of the first embodiment when executing the computer program.

[0077] A third embodiment of the present invention relates to a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the cabin thermal comfort system control method of the first embodiment are implemented.

[0078] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0079] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0080] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction method, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0081] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0082] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for controlling a cabin thermal comfort system, characterized in that: The following steps are involved: Obtain the scheduled vehicle time and environmental parameters of the vehicle's location; The actual predicted time for the user to arrive at the vehicle is determined based on the reserved vehicle time, the current time, and the predicted time for the user to arrive at the vehicle; Predicting the thermal comfort state of the user when getting on the vehicle based on the environmental parameters of the location of the vehicle and the actual predicted time of the user arriving at the vehicle; Determining an optimal vehicle cabin temperature and an optimal seat surface temperature according to the thermal comfort state of the user when getting on the vehicle; The vehicle is controlled to adjust the vehicle cabin temperature to the optimal vehicle cabin temperature and the seat surface temperature to the optimal seat surface temperature after the actual predicted time when the user reaches the vehicle has passed.

2. The cabin thermal comfort system control method according to claim 1, characterized in that: The method of determining the actual predicted time for the user to arrive at the vehicle according to the reserved vehicle use time, the current time, and the predicted time for the user to arrive at the vehicle specifically includes: Calculate the difference between the current time and the reserved car time; Calculate the distance between the vehicle's location and the user's current location, and based on the preset walking speed, predict the time it will take the user to reach the vehicle; The smaller one between the difference and the time taken by the user to reach the vehicle is selected as the actual predicted time for the user to reach the vehicle.

3. The cabin thermal comfort system control method according to claim 1, characterized in that: When predicting the thermal comfort state of the user when getting on the vehicle based on the environmental parameters of the vehicle's location and the actual predicted time for the user to reach the vehicle, the Berkely-zhang thermal comfort model is used for prediction. When predicting, the human metabolic rate selects the value corresponding to walking, the clothing thermal resistance uses the clothing thermal resistance that matches the environmental parameters of the vehicle's location, and the calculated step length is the actual predicted time for the user to reach the vehicle.

4. The cabin thermal comfort system control method according to claim 1, characterized in that: The step of determining and calculating the optimal temperature of the vehicle cabin and the optimal temperature of the seat surface according to the thermal comfort state of the user when getting on the vehicle specifically includes: The thermal comfort state of the user when getting on the vehicle is set as an initial calculation value, the human body metabolic rate is set to a value corresponding to sitting still, and a target thermal comfort value is calculated; Optimize the seat surface temperature to obtain the best seat surface temperature so that the local thermal comfort value reaches the maximum value; The vehicle cabin temperature is optimized to obtain the optimal vehicle cabin temperature so that the overall thermal comfort value reaches the target thermal comfort value.

5. The cabin thermal comfort system control method according to claim 4, characterized in that: The step of optimizing the seat surface temperature to obtain the optimal seat surface temperature so that the local thermal comfort value reaches the maximum value specifically includes: (A) Setting index pointer T1 and index pointer T2, index pointer T1 points to the minimum value of the seat surface temperature, and index pointer T2 points to the maximum value of the seat surface temperature; (B) Calculate the temperature midpoint between index pointer T1 and index pointer T2; (C) approximate the derivatives on both sides of the temperature midpoint by numerical methods and calculate the product of the derivatives on both sides of the temperature midpoint; (D) adjusting the index pointer T1 and the index pointer T2 according to the derivatives on both sides of the temperature midpoint and the product of the derivatives on both sides of the temperature midpoint; (E) Repeat steps (B) to (D) until the stopping condition is met.

6. The cabin thermal comfort system control method according to claim 5, characterized in that: The derivatives of the temperature on both sides of the midpoint in step (C) are given by Calculated, among which, and are the derivatives on both sides of the temperature midpoint, f(x) is the thermal comfort value corresponding to the temperature x, T mid is the mid-point of temperature, and △T is the step length of seat temperature control.

7. The cabin thermal comfort system control method according to claim 5, characterized in that: The step (D) is specifically: If the product of the derivatives on both sides of the temperature midpoint is greater than 0 and the derivatives on both sides of the temperature midpoint are positive, the index pointer T1 is pointed to the temperature midpoint; If the product of the derivatives on both sides of the temperature midpoint is greater than 0 and the derivatives on both sides of the temperature midpoint are negative, the index pointer T2 is pointed to the temperature midpoint; If the product of the derivatives on both sides of the temperature midpoint is less than 0, the search is stopped and the temperature midpoint is taken as the optimal seat surface temperature.

8. The cabin thermal comfort system control method according to claim 4, characterized in that: The optimizing the vehicle cabin temperature to obtain the optimal vehicle cabin temperature so that the overall thermal comfort value reaches the target thermal comfort value specifically includes: (a) Determine the temperature range to be searched according to the current season; (b) taking the middle position of the temperature range to be searched as the current search temperature; (c) determining whether the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value; (d) If the thermal comfort value corresponding to the current search temperature is equal to the target thermal comfort value, the current search temperature is the optimal temperature of the vehicle cabin; (e) if the target thermal comfort value is less than the current search temperature, adjusting the right boundary of the temperature range to be searched to the current search temperature; (f) if the target thermal comfort value is greater than the current search temperature, adjusting the left boundary of the temperature range to be searched to the current search temperature; (g) Repeat steps (b)-(g) until the optimal vehicle cabin temperature is found.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the cabin thermal comfort system control method as described in any one of claims 1-8 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the cabin thermal comfort system control method as claimed in any one of claims 1 to 8 are implemented.

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