Seat adjustment method, vehicle, and computer-readable storage medium

Abstract

The application relates to a seat adjustment method, a vehicle and a computer readable storage medium. The method comprises the following steps: in response to a large bed mode activation instruction of a seat to be adjusted, acquiring a reference adjustment strategy and environment information of a vehicle; compensating the reference adjustment strategy according to the environment information to generate a target adjustment strategy; and adjusting the seat to be adjusted according to the target adjustment strategy. The reference adjustment strategy is compensated according to the environment information of the vehicle, so that a final target adjustment strategy is determined. The compensation is based on multi-dimensional environment information, richer seat adjustment strategies are provided, and the user demand under different environment conditions can be further met.

Description

Technical Field

[0001] This application relates to the field of control and adjustment technology, and in particular to a seat adjustment method, a vehicle, and a computer-readable storage medium. Background Technology

[0002] With the development of intelligent technology and improved comfort in automobiles, cars have gradually evolved from simple means of transportation into mobile living spaces that integrate travel, rest, and entertainment. For example, car seats can be adjusted in terms of position, angle, and other parameters to allow users to lie flat, providing a comfortable space for sleeping, napping, or relaxing in the car. This seat mode can be called a "bed mode."

[0003] In current technologies, when a user activates the "bed mode" of a car seat, the seat's position, angle, and other parameters typically need to be adjusted to fixed calibration values. That is, when the user activates bed mode, the seat control system adjusts the seat to a single, predetermined target position according to a preset calibration value. Based on this, the seat adjustment strategy for bed mode with a fixed target position is simplistic and cannot meet the needs of users in different environmental conditions. Summary of the Invention

[0004] In view of this, this application provides a seat adjustment method, a vehicle, and a computer-readable storage medium, which improves the intelligence level of seat adjustment.

[0005] In a first aspect, this application provides a seat adjustment method, the method comprising: in response to a bed mode activation command of the seat to be adjusted, acquiring a baseline adjustment strategy and environmental information of the vehicle; compensating the baseline adjustment strategy according to the environmental information to generate a target adjustment strategy; and adjusting the seat to be adjusted according to the target adjustment strategy.

[0006] In one embodiment, the environmental information includes at least one of seasonal information, temperature information, humidity information, and time information; the step of compensating the baseline adjustment strategy based on the environmental information to generate a target adjustment strategy includes: compensating the baseline adjustment strategy based on the environmental information and a preset compensation strategy to generate a target adjustment strategy; the preset compensation strategy includes at least one of a preset seasonal compensation strategy, a preset temperature compensation strategy, a preset humidity compensation strategy, and a preset time compensation strategy.

[0007] In one embodiment, the preset seasonal compensation strategy includes: if the season information is summer, adjusting the seat position in the strategy to be adjusted by a first preset distance in the first direction of the seat's fore-and-aft direction; and / or adjusting the backrest angle in the strategy to be adjusted by a first preset angle in the lying-flat direction; and / or lowering the headrest height in the strategy to be adjusted by a second preset distance; and / or shortening the leg rest length in the strategy to be adjusted by a third preset distance; and / or if the season information is winter, adjusting the seat position in the strategy to be adjusted by a fourth preset distance in the second direction of the seat's fore-and-aft direction; and / or adjusting the backrest angle in the strategy to be adjusted by a second preset angle in the upright direction; and / or raising the headrest height in the strategy to be adjusted by a fifth preset distance; and / or extending the leg rest length in the strategy to be adjusted by a sixth preset distance.

[0008] In one embodiment, the preset temperature compensation strategy includes: if the temperature information is greater than a high temperature threshold, determining a first temperature difference based on the temperature information and the high temperature threshold; determining a first adjustment angle based on the first temperature difference and a first angle adjustment step size; adjusting the backrest angle in the strategy to be adjusted towards a lying position using the first adjustment angle; and / or if the temperature information is less than a low temperature threshold, determining a second temperature difference based on the temperature information and the low temperature threshold; determining a second adjustment angle based on the second temperature difference and a second angle adjustment step size; and adjusting the backrest angle in the strategy to be adjusted towards an upright position using the second adjustment angle.

[0009] In one embodiment, the preset humidity compensation strategy includes: if the humidity information is greater than or equal to a first humidity threshold, then the backrest angle in the adjustment strategy is adjusted to a third preset angle in the lying-flat direction.

[0010] In one embodiment, the preset time compensation strategy includes: if the time information is within the nighttime time range, then the backrest angle in the adjustment strategy is adjusted to a fourth preset angle towards the upright direction.

[0011] In one embodiment, after adjusting the seat to be adjusted according to the target adjustment strategy, the method further includes: obtaining a seat adjustment command input by the user; adjusting the seat to be adjusted according to the seat adjustment command and recording the optimized adjustment strategy after adjustment; and constructing a seat adjustment mapping model corresponding to the user information based on the user information, the vehicle's environmental information, and the corresponding optimized adjustment strategy after adjustment.

[0012] In one embodiment, obtaining the baseline adjustment strategy and the vehicle's environmental information includes: obtaining real-time user information of the seat to be adjusted and the vehicle's environmental information; determining a seat adjustment mapping model corresponding to the real-time user information based on the real-time user information; if the seat adjustment mapping model matches the environmental information, then the matched optimized adjustment strategy is taken as the target adjustment strategy; if the seat adjustment mapping model does not match the environmental information, then a baseline adjustment strategy is obtained.

[0013] Secondly, this application also provides a vehicle. The vehicle includes a memory and a processor, the memory storing a computer program, and the processor executing the computer program to implement any of the seat adjustment methods described in the first aspect.

[0014] Thirdly, this application also provides a computer-readable storage medium. The computer-readable storage medium stores a computer program thereon, which, when executed by a processor, implements any one of the seat adjustment methods described in the first aspect.

[0015] The aforementioned seat adjustment method, vehicle, and computer-readable storage medium first acquire a baseline adjustment strategy and the vehicle's environmental information based on the activation command of the seat to be adjusted in a "bed mode." Then, the baseline adjustment strategy is compensated based on this environmental information to generate a target adjustment strategy. Finally, the seat to be adjusted is adjusted according to the target adjustment strategy. By compensating the baseline adjustment strategy using the vehicle's environmental information, the final target adjustment strategy is determined. Compensation based on multi-dimensional environmental information provides richer seat adjustment strategies, further meeting user needs under different environmental conditions. Attached Figure Description

[0016] Figure 1 This is a flowchart illustrating a seat adjustment method in one embodiment;

[0017] Figure 2 This is a schematic diagram of the method flow for constructing a seat adjustment mapping model in one embodiment;

[0018] Figure 3 This is a flowchart illustrating the seat adjustment method in another embodiment;

[0019] Figure 4 This is a flowchart of a seat dynamic adjustment process based on environmental information in one embodiment;

[0020] Figure 5 This is a structural block diagram of the seat adjustment device in one embodiment;

[0021] Figure 6 This is a diagram of the internal structure of a vehicle in one embodiment. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0023] With the development of intelligent technology and improved comfort in automobiles, cars have gradually evolved from simple means of transportation into mobile living spaces that integrate travel, rest, and entertainment. For example, car seats can be adjusted in terms of position, angle, and other parameters to allow users to lie flat, providing a comfortable space for sleeping, napping, or relaxing in the car. This seat mode can be called a "bed mode."

[0024] In current technologies, the target position for the seat in "double bed" mode is a fixed, standardized value. For example, regardless of the season or the interior temperature, the seat will be adjusted to the same position. Based on this, the seat adjustment strategy for "double bed" mode with a fixed target position is simplistic and cannot meet the needs of users in different environments.

[0025] More specifically, in summer, users want less contact area between the seat and their body to enhance ventilation and avoid stuffiness; in winter, users want the seat to provide better support and increase the contact area between the body and the seat to reduce heat loss and improve warmth. However, the fixed-position bed mode cannot adapt to different seasons. In hot weather, users want the seat back angle to be more reclined to increase heat dissipation area; in cold weather, users want the seat back angle to be more supportive to reduce heat loss. The fixed-position bed mode cannot adapt to different environmental changes. Furthermore, current technology cannot learn and optimize seat parameters based on users' manual adjustments in different environments.

[0026] In summary, current automotive seat designs, particularly those resembling a large bed, suffer from numerous drawbacks due to their fixed, standardized design, including poor seasonal adaptability, insufficient environmental response, and a lack of adaptive learning capabilities. These limitations prevent them from meeting the ever-growing demands for enhanced automotive cabin comfort. Therefore, developing a seat adjustment method that can adapt to environmental changes and user preferences has become a pressing technical challenge in this field.

[0027] In one embodiment, such as Figure 1 As shown, a seat adjustment method is provided, including the following steps:

[0028] Step 101: In response to the command to activate the bed mode of the seat to be adjusted, obtain the baseline adjustment strategy and the vehicle's environmental information.

[0029] The seat to be adjusted can be any seat capable of achieving a double bed mode. Specifically, this seat can be a single independent seat in the vehicle, such as the driver's seat, front passenger seat, and rear independent seats. This embodiment does not specifically limit the seat to be adjusted, as long as it can achieve a double bed mode. The following description uses a single independent seat in the vehicle as an example. When the user needs to use the seat to be adjusted for sleeping, napping, or relaxation, they input a double bed mode activation command on the vehicle. After receiving the command, the vehicle can adjust the seat to achieve the double bed mode. The double bed mode activation command is a control signal that triggers the seat to be adjusted, enters the double bed mode, and initiates environmental adaptive adjustment. For example, the double bed mode activation command can be input by the user via voice, touch screen, or physical button. This embodiment does not specifically limit the method by which the user inputs the double bed mode activation command.

[0030] After receiving the "Double Bed Mode" activation command, the vehicle responds by acquiring a baseline adjustment strategy and its environmental information. The baseline adjustment strategy can be a standard adjustment strategy without considering environmental information. For example, different baseline adjustment strategies can be set for different users. Upon receiving the "Double Bed Mode" activation command, the system can acquire information about the user currently using the seat to be adjusted via sensors such as cameras, and match the corresponding baseline adjustment strategy based on this information. The baseline adjustment strategy can provide initial reference values ​​for seat adjustment. Specifically, the adjustment strategy can include adjustment strategies for parameters such as seat position, backrest angle, headrest height, and leg rest length. For example, for seat position, the corresponding adjustment strategy could be to adjust the seat to a specific position; for backrest angle, it could be to adjust the backrest angle to a specific angle; for headrest height, it could be to adjust the backrest angle to a specific height; and for leg rest length, it could be to adjust the backrest angle to a specific length.

[0031] The vehicle's environmental information can be a set of data reflecting the temperature, humidity, seasonal characteristics, and weather conditions of the vehicle's environment. For example, the vehicle's environmental information may include: the outside ambient temperature collected by the outside temperature sensor, the inside temperature collected by the inside temperature sensor, the seat surface temperature collected by the seat surface temperature sensor, the inside relative humidity collected by the inside humidity sensor, the current season (spring, summer, autumn, winter) and time (day / night) obtained by the vehicle's clock and calendar, and networked weather information obtained by the vehicle communication module, including at least one of the following: weather conditions (sunny / cloudy / rainy), wind speed, and ultraviolet radiation intensity.

[0032] Step 102: Compensate the baseline adjustment strategy based on environmental information to generate the target adjustment strategy.

[0033] After obtaining environmental information and a baseline adjustment strategy, compensation values ​​are determined for different environmental conditions. The baseline adjustment strategy is then adjusted based on these compensation values, and the adjusted strategy becomes the target adjustment strategy. For example, environmental information includes at least one of seasonal information, temperature information, humidity information, and time information. Taking an example where environmental information only includes seasonal information: seasonal compensation values ​​are determined based on the seasonal information. These seasonal compensation values ​​may include: seasonal compensation values ​​for seat position, seasonal compensation values ​​for backrest angle, seasonal compensation values ​​for headrest height, and seasonal compensation values ​​for leg rest length. Based on the seasonal compensation value for seat position, the seat position in the baseline adjustment strategy is adjusted to obtain the seat position corresponding to the target adjustment strategy. Similarly, based on the seasonal compensation value for backrest angle, the backrest angle in the baseline adjustment strategy is adjusted to obtain the backrest angle corresponding to the target adjustment strategy. Likewise, based on the seasonal compensation value for headrest height, the headrest height in the baseline adjustment strategy is adjusted to obtain the headrest height corresponding to the target adjustment strategy. Finally, based on the seasonal compensation value for leg rest length, the leg rest length in the baseline adjustment strategy is adjusted to obtain the leg rest length corresponding to the target adjustment strategy. It is understandable that the above explanation uses environmental information including only seasonal information as an example. Environmental information can also include seasonal information, temperature information, humidity information, and time information simultaneously. Based on compensation using seasonal information, temperature compensation values, humidity compensation values, and time compensation values ​​are then determined based on temperature information, humidity information, and time information, respectively. Likewise, temperature compensation values, humidity compensation values, and time compensation values ​​can also simultaneously include compensation values ​​for seat position, backrest angle, headrest height, and leg rest length. The adjustment strategy after seasonal information compensation is further compensated by temperature compensation value, humidity compensation value and time compensation value to obtain the final target adjustment strategy.

[0034] Understandably, environmental information includes at least one of the following: seasonal information, temperature information, humidity information, and time information. That is, the baseline adjustment strategy can be compensated using one type of information, two types, three types, or even four types of information.

[0035] Step 103: Adjust the seat to be adjusted according to the target adjustment strategy.

[0036] After obtaining the target adjustment strategy, the seat to be adjusted is adjusted according to the target adjustment strategy, thereby putting the seat into a "bed mode." At this point, the bed mode is adapted to the current environment and can meet the user's needs under the current environmental conditions. Specifically, based on the target adjustment strategy, the vehicle sends a drive signal to the seat to be adjusted, thereby controlling the mechanical structure movement of the seat. The target adjustment strategy includes at least one of the following: seat position, backrest angle, headrest height, and leg rest length. When adjusting the seat, the seat is adjusted to the specific position according to the seat position in the target adjustment strategy; the backrest angle is adjusted to the specific angle value according to the backrest angle in the target adjustment strategy; the headrest height is adjusted to the specific height value according to the headrest height in the target adjustment strategy; and the leg rest length is adjusted to the specific length value according to the leg rest length in the target adjustment strategy. For example, the seat position, backrest angle, headrest height, and leg rest length can be adjusted in that order. Furthermore, the adjustment process should be kept smooth to avoid users perceiving abrupt actions, for example, by using soft start and soft stop curves.

[0037] In this embodiment, the system first obtains a baseline adjustment strategy and the vehicle's environmental information based on the activation command for the bed mode of the seat to be adjusted. Then, it compensates the baseline adjustment strategy according to the environmental information to generate a target adjustment strategy. Finally, the seat to be adjusted is adjusted according to the target adjustment strategy. By compensating the baseline adjustment strategy using the vehicle's environmental information, the final target adjustment strategy is determined. Compensation based on multi-dimensional environmental information provides richer seat adjustment strategies, further meeting user needs under different environmental conditions. By introducing the vehicle's environmental information as an input variable and compensating the baseline adjustment strategy based on the environmental information, this dynamically generated target adjustment strategy replaces a single standardized value, enabling the adjustment action of the seat to be adjusted to respond to environmental changes in real time. This ensures that the user's needs for ventilation, warmth, and humidity control are met under different environmental conditions.

[0038] In one embodiment, the baseline adjustment strategy is compensated based on environmental information to generate a target adjustment strategy. Specifically, the baseline adjustment strategy is compensated based on environmental information and a preset compensation strategy to generate a target adjustment strategy.

[0039] The environmental information includes at least one of the following: seasonal information, temperature information, humidity information, and time information; the seasonal information includes spring, summer, autumn, and winter; the temperature information is the temperature data inside the vehicle; the humidity information is the humidity data inside the vehicle; and the time information is either daytime or nighttime.

[0040] The preset compensation strategies include at least one of the following: preset seasonal compensation strategy, preset temperature compensation strategy, preset humidity compensation strategy, and preset time compensation strategy. The preset seasonal compensation strategy consists of seat parameter compensation rules tailored to different seasons, ensuring the seat shape meets the heat dissipation or heat preservation needs of typical seasonal climates. The preset temperature compensation strategy consists of seat parameter compensation rules tailored to temperature changes, used to achieve synchronized seat parameter adjustments with temperature rises and falls. The preset humidity compensation strategy consists of seat parameter compensation rules tailored to humidity changes, used to achieve synchronized seat parameter adjustments with humidity rises and falls. The preset time compensation strategy consists of seat parameter compensation rules based on time periods, used to adapt to the needs of users at different times of day and the need for enveloping comfort at night.

[0041] Based on seasonal information and a preset seasonal compensation strategy, determine the seasonal compensation value, and then apply that value to the adjustment strategy to obtain the seasonally compensated adjustment strategy. Similarly, based on temperature information and a preset temperature compensation strategy, determine the temperature compensation value, and then apply that value to the adjustment strategy to obtain the temperature-compensated adjustment strategy. Finally, based on humidity information and a preset humidity compensation strategy, determine the humidity compensation value, and then apply that value to the adjustment strategy to obtain the humidity-compensated adjustment strategy. Finally, based on time information and a preset time compensation strategy, determine the time compensation value, and then apply that value to the adjustment strategy to obtain the time-compensated adjustment strategy.

[0042] It is understood that environmental information includes at least one of seasonal information, temperature information, humidity information, and time information; that is, environmental information can include one, two, three, or four types of information. When environmental information includes multiple types of information, the baseline adjustment strategy is compensated in the order of seasonal information, temperature information, humidity information, and time information. Taking an environment with four types of information as an example: Based on the seasonal information and a preset seasonal compensation strategy, a seasonal compensation value is determined. The baseline adjustment strategy is then compensated based on this seasonal compensation value to obtain the seasonally compensated adjustment strategy. Based on the temperature information and a preset temperature compensation strategy, a temperature compensation value is determined. The seasonally compensated adjustment strategy is then compensated based on this temperature compensation value to obtain the temperature-compensated adjustment strategy. Based on the humidity information and a preset humidity compensation strategy, a humidity compensation value is determined. The temperature-compensated adjustment strategy is then compensated based on this humidity compensation value to obtain the humidity-compensated adjustment strategy. Based on the time information and a preset time compensation strategy, a time compensation value is determined. The humidity-compensated adjustment strategy is then compensated based on this time compensation value to obtain the target adjustment strategy.

[0043] This embodiment, through multi-dimensional environmental information and corresponding compensation strategies, can meet users' needs for ventilation, warmth, and seat posture comfort under different environmental conditions, thereby improving the level of intelligence in seat adjustment.

[0044] In one embodiment, the preset seasonal compensation strategy includes: if the season is summer, adjusting the seat position in the strategy to be adjusted by a first preset distance in the fore-and-aft direction. Here, seat position refers to the horizontal fore-and-aft displacement of the seat relative to the vehicle body coordinate system. The adjustment direction of the seat position is the fore-and-aft direction, where the forward direction is closer to the front of the vehicle, and the rear direction is further away from the front. The first direction is the forward direction. The first preset distance is a pre-set threshold distance for adjusting the seat position in the first direction if the season is summer. The first preset distance can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the first preset distance can be 5%. It can be understood that the total travel distance that the seat position can move in the fore-and-aft direction multiplied by 5% is the actual adjustment distance of the seat position. If the season is summer, the seat position in the strategy to be adjusted is shifted forward by the first preset distance, bringing the user closer to the air conditioning vent. The first preset distance is also the seasonal compensation value for the seat position. In actual compensation, the seat position in the strategy to be adjusted is added to the first preset distance to obtain the seat position of the seasonally compensated adjustment strategy.

[0045] For a preset seasonal compensation strategy, the corresponding adjustment strategy can be one of the following: a baseline adjustment strategy, a temperature-compensated adjustment strategy, a humidity-compensated adjustment strategy, or a time-compensated adjustment strategy.

[0046] In one embodiment, the preset seasonal compensation strategy includes: if the season information is summer, adjusting the backrest angle in the strategy to be adjusted towards the lying position by a first preset angle. The backrest angle is the angle between the seat back plane and the horizontal reference plane of the seat cushion. The adjustment direction of the backrest angle includes both the lying and upright directions. Adjusting towards the lying position means adjusting the backrest angle 180°. Adjusting towards the upright direction means adjusting the backrest angle towards 0°. The first preset angle is a pre-set threshold angle for adjusting the backrest angle towards the lying position when the season information is summer. The first preset angle can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the first preset angle can be 3°. If the season information is summer, shifting the backrest angle in the strategy to be adjusted towards the lying position by the first preset angle increases the heat dissipation area of ​​the user's body. The first preset angle is also the seasonal compensation value for the backrest angle. In actual compensation, the backrest angle in the strategy to be adjusted is added to the first preset angle to obtain the backrest angle of the seasonally compensated adjustment strategy.

[0047] In one embodiment, the preset seasonal compensation strategy includes: if the season is summer, reducing the headrest height in the adjustment strategy by a second preset distance. The headrest height is the vertical distance between the headrest support point and the seat cushion. The adjustment direction of the headrest height includes lowering and raising. The second preset distance is a pre-set threshold distance at which the headrest height will be reduced if the season is summer. The second preset distance can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the second preset distance can be 2cm. If the season is summer, reducing the headrest height in the adjustment strategy by the second preset distance reduces the feeling of being wrapped around the user's head. The second preset distance is also the seasonal compensation value for the headrest height. In actual compensation, the second preset distance is subtracted from the headrest height in the adjustment strategy to obtain the headrest height after seasonal compensation.

[0048] In one embodiment, the preset seasonal compensation strategy includes: if the season information is summer, shortening the leg rest length in the adjustment strategy by a third preset distance. The leg rest length is the horizontal length of the leg support component extending from the front of the seat. The adjustment direction of the leg rest length includes shortening and lengthening. The third preset distance is a pre-set threshold distance at which the leg rest length is shortened when the season information is summer. The third preset distance can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the third preset distance can be 3cm. If the season information is summer, shortening the leg rest length in the adjustment strategy by the third preset distance increases leg ventilation for the user. The third preset distance is also the seasonal compensation value for the leg rest length. In actual compensation, the third preset distance is subtracted from the leg rest length in the adjustment strategy to obtain the leg rest length of the seasonally compensated adjustment strategy.

[0049] In one embodiment, the preset seasonal compensation strategy includes: if the season information is winter, adjusting the seat position in the strategy to be adjusted by a fourth preset distance in the second direction of the seat's fore-and-aft direction. The second direction is the rearward direction of the seat. The fourth preset distance is a pre-set threshold distance for adjusting the seat position in the second direction when the season information is winter. The fourth preset distance can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the fourth preset distance can be 5%. It can be understood that the total travel distance that the seat position can move in the fore-and-aft direction multiplied by 5% is the actual adjustment distance of the seat position. If the season information is summer, shifting the seat position in the strategy to be adjusted by the fourth preset distance in the rearward direction of the seat, so that the user is away from the cold radiation area of ​​the window. The fourth preset distance is also the seasonal compensation value for the seat position. In actual compensation, the fourth preset distance is subtracted from the seat position in the strategy to be adjusted to obtain the seat position of the seasonally compensated adjustment strategy.

[0050] In one embodiment, the preset seasonal compensation strategy includes: if the season information is winter, adjusting the backrest angle in the strategy to be adjusted towards the upright direction by a second preset angle. The second preset angle is a pre-set threshold angle for adjusting the backrest angle towards the upright direction when the season information is winter. The second preset angle can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the second preset angle can be 2°. If the season information is winter, shifting the backrest angle in the strategy to be adjusted towards the upright direction by the second preset angle increases the user's sense of enclosure. The second preset angle is also the seasonal compensation value for the backrest angle. In actual compensation, the second preset angle is subtracted from the backrest angle in the strategy to be adjusted to obtain the backrest angle of the seasonally compensated adjustment strategy.

[0051] In one embodiment, the preset seasonal compensation strategy includes: if the season is winter, increasing the headrest height in the adjustment strategy by a fifth preset distance. The fifth preset distance is a pre-set threshold distance at which the headrest height will be increased if the season is winter. This fifth preset distance can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the fifth preset distance is 2cm. If the season is winter, increasing the headrest height in the adjustment strategy by the fifth preset distance increases neck support and warmth for the user. The fifth preset distance is also the seasonal compensation value for the headrest height. In actual compensation, the headrest height in the adjustment strategy is added to the fifth preset distance to obtain the headrest height after seasonal compensation.

[0052] In one embodiment, the preset seasonal compensation strategy includes: if the season information is winter, then the leg support length in the strategy to be adjusted is extended by a sixth preset distance. The sixth preset distance is a pre-set threshold distance for extending the leg support length when the season information is winter. The sixth preset distance can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the sixth preset distance can be 3cm. If the season information is winter, the leg support length in the strategy to be adjusted is extended by the sixth preset distance, thereby increasing the user's leg contact area. The sixth preset distance is also the seasonal compensation value for the leg support length. In actual compensation, the leg support length in the strategy to be adjusted is added to the sixth preset distance to obtain the leg support length of the seasonally compensated adjustment strategy.

[0053] In one embodiment, when the seasonal information is spring or autumn, no seasonal compensation is performed on the adjustment strategy.

[0054] It is understood that the above-mentioned preset seasonal compensation strategy may include only the preset seasonal compensation strategy described in one embodiment, or it may include the preset seasonal compensation strategy described in multiple embodiments. This embodiment does not make any specific limitation.

[0055] This embodiment translates seasonal information into specific physical parameter adjustment commands. In summer, it adjusts the seat position in a first direction, the backrest angle to a flat position, lowers the headrest height, and shortens the leg rest length, thereby reducing the contact area between the body and the seat and increasing heat dissipation space. In winter, it performs the opposite adjustments, increasing support and contact area to reduce heat loss. Based on this multi-dimensional dynamic adjustment method, it ensures that the seat can accurately match the user's needs in different seasons.

[0056] In one embodiment, the preset temperature compensation strategy includes: if the temperature information is greater than the high temperature threshold, then determining a first temperature difference based on the temperature information and the high temperature threshold; determining a first adjustment angle based on the first temperature difference and the first angle adjustment step size; and adjusting the backrest angle in the adjustment strategy to the lying position to adjust the first adjustment angle.

[0057] The high-temperature threshold is the critical temperature value that triggers the cooling and heat dissipation compensation logic. It is used to determine the boundary condition for whether the backrest angle should be adjusted to enable reclining angle compensation. The high-temperature threshold can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the high-temperature threshold is 28°C. During temperature compensation, the acquired temperature information is compared with the high-temperature threshold. When the temperature information is greater than the high-temperature threshold, a first temperature difference is determined based on the temperature information and the high-temperature threshold. Specifically, the first temperature difference is obtained by subtracting the high-temperature threshold from the temperature information. The first angle adjustment step is the coefficient corresponding to the change of the backrest angle towards the reclining direction per unit temperature difference, used to convert the first temperature difference into a specific angle adjustment amount. The first angle adjustment step can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the first angle adjustment step is 0.5°. After obtaining the first temperature difference, the first temperature difference is multiplied by the first angle adjustment step to obtain the first adjustment angle. Using the first adjustment angle, the backrest angle in the adjustment strategy is adjusted towards the reclining direction. The first adjustment angle, also known as the temperature compensation value for the backrest angle, is calculated by adding the first adjustment angle to the backrest angle in the adjustment strategy to obtain the backrest angle after temperature compensation. Specifically, when the temperature exceeds 28°C, the backrest angle increases by 0.5° in the lying-flat direction for every 1°C increase in temperature. A maximum adjustment angle can be set, for example, 5°, meaning the maximum first adjustment angle is 5°.

[0058] For a preset temperature compensation strategy, the corresponding adjustment strategy can be one of the following: a baseline adjustment strategy, a seasonal compensation adjustment strategy, a humidity compensation adjustment strategy, or a time compensation adjustment strategy.

[0059] In one embodiment, the preset temperature compensation strategy includes: if the temperature information is less than the low temperature threshold, then determining a second temperature difference based on the temperature information and the low temperature threshold; determining a second adjustment angle based on the second temperature difference and the second angle adjustment step size; and adjusting the backrest angle in the adjustment strategy towards the upright direction to adjust the second adjustment angle.

[0060] The low-temperature threshold is the critical temperature value that triggers the heating and insulation compensation logic. It is used to determine the boundary condition for whether the backrest angle should be adjusted to activate the upright angle compensation. The low-temperature threshold can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the low-temperature threshold is 15℃. During temperature compensation, the acquired temperature information is compared with the low-temperature threshold. When the temperature information is less than the low-temperature threshold, a second temperature difference is determined based on the temperature information and the low-temperature threshold. Specifically, the second temperature difference is obtained by subtracting the temperature information from the low-temperature threshold. The second angle adjustment step size is the coefficient corresponding to the change of the backrest angle towards the upright direction for a unit temperature difference, used to convert the second temperature difference into a specific angle adjustment amount. The second angle adjustment step size can be set based on actual usage needs, and this embodiment does not impose a specific limitation. Preferably, the second angle adjustment step size is 0.3℃. After obtaining the second temperature difference, the second temperature difference is multiplied by the second angle adjustment step size to obtain the second adjustment angle. Using the second adjustment angle, the backrest angle in the adjustment strategy is adjusted towards the upright direction. The second adjustment angle, also known as the backrest angle temperature compensation value, is calculated by subtracting the second adjustment angle from the backrest angle in the adjustment strategy to obtain the backrest angle after temperature compensation. More specifically, when the temperature is below 15°C, the backrest angle increases by 0.3° in the upright direction for every 1°C decrease in temperature. A maximum adjustment angle can be set; for example, a maximum adjustment angle of 4°, meaning the second adjustment angle is at most 4°.

[0061] In one embodiment, when the temperature information is less than or equal to the high temperature threshold and greater than or equal to the low temperature threshold, temperature compensation is not required for the adjustment strategy.

[0062] This embodiment introduces high-temperature and low-temperature thresholds as judgment boundaries. When the temperature exceeds these boundaries, different compensation paths are triggered. In high-temperature scenarios, a first temperature difference is calculated and combined with a first angle adjustment step size to drive the backrest angle towards a lying position, thereby increasing the heat dissipation area. In low-temperature scenarios, a second adjustment angle is calculated in reverse to drive the backrest angle towards an upright position, increasing comfort and reducing heat loss. Based on the above multi-dimensional dynamic adjustment method, it is ensured that the seat can accurately match the user's needs at different temperatures.

[0063] In one embodiment, the preset humidity compensation strategy includes: if the humidity information is greater than or equal to a first humidity threshold, then the backrest angle in the adjustment strategy is adjusted to a third preset angle in the lying-flat direction.

[0064] The first humidity threshold is a relative humidity critical value that triggers the humidity compensation logic. It is used to determine whether the backrest angle triggers the lie-down direction compensation boundary condition. The first humidity threshold can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the first humidity threshold is 70%. During humidity compensation, the acquired humidity information is compared with the first humidity threshold. When the humidity information is greater than or equal to the first humidity threshold, the backrest angle in the adjustment strategy is adjusted towards the lie-down direction by a third preset angle. The third preset angle is a pre-set angle threshold for adjusting the backrest angle towards the lie-down direction when the humidity information is greater than or equal to the first humidity threshold. The third preset angle can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the third preset angle can be 2°. The third preset angle is also the humidity compensation value of the backrest angle. During actual compensation, the backrest angle in the adjustment strategy is added to the third preset angle to obtain the backrest angle of the humidity-compensated adjustment strategy. More specifically, when the humidity information is greater than 70%, the backrest angle is shifted towards the lie-down direction by 2° to increase the heat dissipation area.

[0065] For a preset humidity compensation strategy, the corresponding adjustment strategy can be one of the following: a baseline adjustment strategy, a seasonally compensated adjustment strategy, a temperature-compensated adjustment strategy, or a time-compensated adjustment strategy.

[0066] This embodiment sets a first humidity threshold as an environmental perception benchmark and converts humidity information into an adjustment angle, thereby effectively promoting air convection and sweat evaporation on the back in a high humidity environment, and accurately meeting the user's ventilation needs.

[0067] In one embodiment, the preset time compensation strategy includes: if the time information is within the nighttime time range, then the backrest angle in the adjustment strategy is adjusted to a fourth preset angle in the upright direction.

[0068] The nighttime time range can be a clock interval range set by the system to identify nighttime periods. The nighttime time range can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the nighttime time range can be from 10 PM to 6 AM the next day. When performing time compensation, the acquired time information is compared with the nighttime time range to determine whether the time information is within the nighttime time range. If the time information is within the nighttime time range, the backrest angle in the adjustment strategy is adjusted towards the upright direction by a fourth preset angle. The fourth preset angle is a pre-set angle threshold for adjusting the backrest angle towards the upright direction if it is currently nighttime. The fourth preset angle can be set based on actual usage needs, and this embodiment does not impose specific limitations. Preferably, the fourth preset angle can be 1°. The fourth preset angle is also the time compensation value of the backrest angle. In actual compensation, the backrest angle in the adjustment strategy is subtracted from the fourth preset angle to obtain the backrest angle of the time-compensated adjustment strategy. More specifically, if the time information is within the nighttime time range, the backrest angle is slightly adjusted towards the upright direction by 1° to create a comfortable, enveloping feeling.

[0069] For a preset time compensation strategy, the corresponding adjustment strategy can be one of the following: the baseline adjustment strategy, the seasonal compensation adjustment strategy, the temperature compensation adjustment strategy, and the time compensation adjustment strategy.

[0070] This embodiment determines the triggering condition by judging whether the time information is within the nighttime time range, and performs a compensation action by adjusting the backrest angle in the adjustment strategy to the upright direction by adjusting the fourth preset angle. In this way, it provides ergonomic and moderate support by precisely adjusting the angle, which is conducive to the changes in human physiological rhythm at night and the problems such as lumbar sag, body slippage or breathing difficulties caused by lying flat for a long time. This further enriches the dimensions of the adjustment strategy.

[0071] In one embodiment, temperature and humidity information can be combined to generate adjustment commands for seat ventilation and seat heating. Specifically, a preset mapping relationship between temperature, humidity, seat ventilation intensity, and seat heating intensity is obtained. This preset mapping relationship is calibrated based on actual usage conditions. After obtaining the temperature and humidity information, a lookup table is performed to obtain the seat ventilation intensity and seat heating intensity under the corresponding environmental conditions. The seat ventilation intensity includes both off and multi-level ventilation intensities. The seat heating intensity includes both off and multi-level heating intensities. After obtaining the seat ventilation and seat heating intensities under the corresponding environmental conditions, the seat ventilation and seat heating functions of the seat to be adjusted can be controlled. The control logic based on the preset mapping relationship is: the airflow of seat ventilation increases with increasing temperature; the seat heating temperature increases with decreasing temperature; and the airflow of seat ventilation increases with increasing humidity.

[0072] In one embodiment, when the temperature value corresponding to the temperature information is within a suitable temperature range, a hydration reminder can be given to the user. The suitable temperature range can be set according to actual usage needs, and this embodiment does not impose a specific limitation.

[0073] In one embodiment, the system can also acquire current weather conditions and control the sunshade when the weather is sunny or in strong UV mode. When the weather is rainy, the system automatically activates seat ventilation and dehumidification to prevent dampness.

[0074] In one embodiment, such as Figure 2 As shown, a method for constructing a seat adjustment mapping model is provided, which specifically includes the following steps:

[0075] Step 201: Obtain the seat adjustment command input by the user.

[0076] After adjusting the seat according to the target adjustment strategy, if the user is not satisfied with the automatic adjustment state of the seat, they can manually adjust it. Specifically, the user can input seat adjustment commands via voice, physical buttons, or touchscreen. This embodiment does not specifically limit the method of inputting seat adjustment commands. Seat adjustment commands include at least one of the following parameters: seat position, backrest angle, headrest height, and leg rest length. The seat position adjustment command controls the seat position to be adjusted in the fore-and-aft direction. The backrest angle adjustment command controls the backrest angle to be adjusted in a reclining or upright position. The headrest height adjustment command controls the headrest height to be adjusted in a lowering or raising direction. The leg rest length adjustment command controls the leg rest length to be adjusted in a shortening or lengthening direction.

[0077] Step 202: Adjust the seat to be adjusted according to the seat adjustment command, and record the optimized adjustment strategy after adjustment.

[0078] After receiving the seat adjustment command, the system can adjust at least one of the following: seat position, backrest angle, headrest height, and leg rest length. Once the user has completed the adjustment, the system records the current seat position, backrest angle, headrest height, and leg rest length, and uses this information as an optimization strategy.

[0079] Step 203: Based on user information, vehicle environmental information, and corresponding optimized adjustment strategies, construct a seat adjustment mapping model corresponding to user information.

[0080] After recording the optimization and adjustment strategy, a seat adjustment mapping model corresponding to the user information can be constructed by combining user information and multi-dimensional environmental information of the vehicle obtained during automatic adjustment. This seat adjustment mapping model represents the mapping relationship between user information, multi-dimensional environmental information of the vehicle, and the optimization and adjustment strategy. The user information can be determined by images of the user's face captured by sensors such as in-vehicle cameras; or it can be user information actively entered by the user before triggering automatic adjustment.

[0081] This embodiment captures the user's active adjustment behavior and constructs a seat adjustment mapping model by combining user information with multi-dimensional environmental information. This model establishes a mapping relationship between environmental parameters, user characteristics, and optimal seat posture, enabling the system to have memory and self-learning capabilities. When in the same or similar environment again, the system can directly invoke or generate personalized strategies based on the model to accurately meet the needs of different environments and individual user preferences.

[0082] In one embodiment, such as Figure 3 As shown, a seat adjustment method is provided, which specifically includes the following steps:

[0083] Step 301: Obtain real-time user information for the seat to be adjusted and environmental information for the vehicle.

[0084] The real-time user information for the seat to be adjusted refers to the user information of the user who currently triggers the automatic adjustment of the seat. For example, the real-time user information can be obtained by capturing images of the user's face through sensors such as in-vehicle cameras; it can also be real-time user information actively input by the user via voice, touchscreen, or other means. Simultaneously, the vehicle's environmental information is also acquired.

[0085] Step 302: Determine the seat adjustment mapping model corresponding to the real-time user information based on the real-time user information.

[0086] After obtaining real-time user information, the corresponding seat adjustment mapping model is retrieved. This model represents the mapping relationship between user information, vehicle environmental information, and optimization adjustment strategies.

[0087] Step 303: If the seat adjustment mapping model matches the environmental information, then the matched optimization adjustment strategy is taken as the target adjustment strategy.

[0088] The vehicle's environmental information is matched against the seat adjustment mapping model corresponding to the real-time user information. In other words, it searches whether there is environmental information in the seat adjustment mapping model that is the same as the vehicle's environmental information. If it is, it is matched, and the optimization adjustment strategy corresponding to the same environmental information in the seat adjustment mapping model is taken as the target adjustment strategy.

[0089] Step 304: If the seat adjustment mapping model does not match the environmental information, then obtain the baseline adjustment strategy.

[0090] If no matching environmental information exists in the seat adjustment mapping model, a baseline adjustment strategy is obtained. This baseline adjustment strategy can be the standard adjustment strategy without considering environmental information.

[0091] This embodiment obtains real-time user information and uses the user information and environmental information as index keys to find the corresponding seat adjustment mapping model. When the user information and environmental information match the seat adjustment mapping model, the target adjustment strategy can be directly determined, thereby further improving the response speed. Moreover, the target adjustment strategy determined by the seat adjustment mapping model is more in line with user needs.

[0092] In one embodiment, after adjusting the seat based on the target adjustment strategy, the system continuously monitors the user's manual adjustment behavior. If the user does not manually intervene after the system automatically adjusts, it is considered that the user accepts the current adjustment, and the system records the correspondence between the current environmental information and the target adjustment strategy. If the user manually adjusts the seat after the system automatically adjusts (such as raising the backrest angle or moving the seat forward), the system records the user's optimized adjustment strategy and the correspondence between the current environmental information and the optimized adjustment strategy. Based on the correspondence between environmental information and the target adjustment strategy, and the correspondence between environmental information and the optimized adjustment strategy, a personalized environment-seat parameter mapping model, i.e., a seat adjustment mapping model, is constructed. For example, if the user manually raises the backrest angle every time in hot weather, the system will learn that the user prefers a more reclined posture and increase the offset during subsequent automatic adjustments. Then, when actually using the seat adjustment mapping model, the current user information is identified through methods such as Bluetooth keys or facial recognition, the seat adjustment mapping model of the current user information is loaded, and the target adjustment strategy is determined based on the seat adjustment mapping model. The seat adjustment mapping models of different users are stored independently and do not interfere with each other.

[0093] In this embodiment, the seat position, backrest angle, headrest height, and leg rest length are automatically adjusted based on the vehicle's environmental information to achieve a comfortable experience that is warm in winter and cool in summer, without requiring manual operation by the user. Through this adaptive adjustment of environmental information, excessive use of air conditioning can be reduced; for example, appropriately increasing seat ventilation in summer can reduce reliance on air conditioning airflow. By constructing a seat adjustment mapping model, the system learns the user's manual correction behavior in different environments, forming a personalized environment-seat parameter mapping, achieving a unique adaptive experience for each individual. This upgrades the traditional bed mode from mechanically reclining to an intelligent and comfortable environment, significantly enhancing the user's perceived value.

[0094] Taking the user's use of the rear-seat double bed mode in different seasons as an example, Scenario 1: Summer high-temperature usage scenario. In response to the activation command for the double bed mode on the seat to be adjusted, environmental information is obtained, specifically: outside temperature 35℃, inside temperature 32℃, humidity 60%, season information: summer, weather: sunny. A baseline adjustment strategy is obtained, specifically: seat position 80%, backrest angle 174°, headrest height (default height), leg rest length (default length). Based on the above environmental information, and given the current season is summer, the seat position is shifted 5% forward from 80%, resulting in a seasonally compensated seat position of 85%; the backrest angle is adjusted 3° towards the lying position, resulting in a seasonally compensated backrest angle of 177°; the headrest height is lowered by 2cm, resulting in a seasonally compensated backrest height that is the default height minus 2cm; and the leg rest length is shortened by 3cm, resulting in a seasonally compensated leg rest length that is the default length minus 3cm. At this point, the temperature information of 32℃ is greater than the high-temperature threshold of 28℃. Therefore, the first temperature difference is equal to the temperature information of 32℃ minus the high-temperature threshold of 28℃, which is 4℃. The first angle adjustment step is 0.5°, and the first adjustment angle is the first temperature difference of 4℃ multiplied by the first angle adjustment step of 0.5°, which is 2°. The backrest angle after seasonal compensation is 177°, plus the first adjustment angle of 2°, resulting in a temperature-compensated backrest angle of 179°. Since the temperature information of 32℃ is greater than the high-temperature threshold of 28℃, the seat ventilation is activated simultaneously, with the airflow set to level 3 (maximum level 5). At this time, the humidity information is 60%, which is less than the first humidity threshold of 70%, so no humidity compensation is performed. The weather is sunny, and the linked sunshade automatically closes to 80%. The system smoothly executes all adjustments within 30 seconds, and the user is in the optimal summer comfort position when lying down. Afterward, the user does not make any manual adjustments, and the system records the adjustment as successful.

[0095] Scenario 2: Winter Low-Temperature Usage. In response to the activation command for the "Big Bed Mode" of the seat to be adjusted, environmental information is obtained, including: outside temperature -5℃, inside temperature 12℃, humidity 40%, season (winter), and weather (cloudy). A baseline adjustment strategy is then obtained, including: seat position 80%, backrest angle 174°, headrest height (default), and leg rest length (default). Based on this environmental information, and given the current season is winter, the seat position is shifted 5% backward (80%), resulting in a seasonally compensated seat position of 75%; the backrest angle is adjusted 2° towards an upright position, resulting in a seasonally compensated backrest angle of 172°; the headrest height is increased by 2cm, resulting in a seasonally compensated backrest height equal to the default height plus 2cm; and the leg rest length is extended by 3cm, resulting in a seasonally compensated leg rest length equal to the default length plus 3cm. At this point, the temperature of 12℃ is less than the low-temperature threshold of 15℃, so the second temperature difference equals the low-temperature threshold of 15℃ minus the temperature of 12℃, i.e., the second temperature difference is 3℃. The second angle adjustment step is 0.3°, and the second adjustment angle is calculated by multiplying the second temperature difference of 3° by the second angle adjustment step of 0.3°. The first adjustment angle is 0.9°. The backrest angle after seasonal compensation is 172° minus the second adjustment angle of 0.9°, resulting in a temperature-compensated backrest angle of 171°. Since the temperature information of 12° is less than the low-temperature threshold of 15°, the seat heating is simultaneously activated, with the temperature set to level 2 (maximum level 3). At this time, the humidity information is 40%, less than the first humidity threshold of 70%, so no humidity compensation is performed. The weather is cloudy, so no weather compensation is performed. The system smoothly executes the adjustment, and the user feels the seat is enveloping and warm when lying down. Afterwards, the user manually adjusts the seat heating from level 2 to level 3, and the system records the user's preferred warmer heating level.

[0096] Scenario 3: Expected High Humidity Usage. In response to the activation command for the "Big Bed Mode" of the seat to be adjusted, environmental information is obtained, including: outside temperature 25℃, inside temperature 24℃, humidity 85%, season (summer), and weather (rainy). A baseline adjustment strategy is obtained, including: seat position 80%, backrest angle 174°, headrest height (default), and leg rest length (default). Based on the above environmental information, and given the current season is summer, the seat position is shifted 5% forward (80%), resulting in a seasonally compensated seat position of 85%; the backrest angle is adjusted 3° towards a flat position, resulting in a seasonally compensated backrest angle of 177°; the headrest height is lowered by 2cm, resulting in a seasonally compensated backrest height that is the default height minus 2cm; and the leg rest length is shortened by 3cm, resulting in a seasonally compensated leg rest length that is the default length minus 3cm. At this time, the temperature is 24℃, and no temperature compensation is performed. The humidity level was 85%, exceeding the first humidity threshold of 70%. The backrest angle was adjusted 2° towards a lying position, resulting in a humidity-compensated backrest angle of 179°. Since the humidity was 85%, exceeding the first humidity threshold of 70%, the seat ventilation was automatically activated at level 2, and the air conditioning was simultaneously activated in dehumidification mode. As it was a rainy day, the sunroof shade and side windows were closed. After the system performed the adjustment, the user felt the seat was dry and comfortable. No further manual adjustments were made by the user, and the system recorded the adjustment as successful.

[0097] Scenario 4: Personalized Learning and Adaptive Optimization. Regarding User A's preference learning process: On the first use, with the season information set to summer, the system automatically adjusted the backrest angle to 179° based on the current environment. The user then manually adjusted it back to 176°, at which point the system recorded the current environment information and the 176° backrest angle. On the second use, with the season information still set to summer, the system retrieved user information, matched it to summer, and obtained a 176° backrest angle. The system automatically adjusted the backrest angle to 176°, and the user did not manually adjust it further, confirming that the user preferred a 176° backrest angle in summer. On the third use, with the season information still set to summer, the system automatically adjusted the backrest angle to 176° and performed temperature compensation; the user did not make any further adjustments. Regarding User B's preference learning process: On the first use, with the season information set to winter, the system automatically adjusted the seat heating to level 2, and the user manually adjusted it to level 3. The system recorded that the user preferred a higher level of seat heating. On the second use, with the season information still set to winter, the system automatically adjusted the seat heating to level 3. The user was satisfied.

[0098] Scenario 5: Multi-User Identification and Configuration Switching. User A and User B share the same car, but their preferences for seat comfort differ. When User A enters the car, the system identifies them as User A via Bluetooth key and loads User A's seat configuration: 176° backrest angle and seat heating level 2 (summer setting). When User B enters the car, the system automatically loads User B's configuration: 179° backrest angle and seat heating level 3 (summer setting). When User B activates the double bed mode, the seat automatically adjusts to User B's preferred position without manual adjustment.

[0099] In one embodiment, such as Figure 4 As shown, a flowchart of a dynamic seat adjustment process based on environmental information is provided. First, the "Big Bed" mode is activated, and the vehicle's environmental information is acquired. Seasonal compensation is performed based on seasonal information. If the season is summer, the seat position is adjusted forward by 5%; the backrest angle is adjusted to a lying position by 3°; the headrest height is lowered by 2cm; and the leg rest length is shortened by 3cm. If the season is winter, the seat position is adjusted backward by 5%; the backrest angle is adjusted to an upright position by 2°; the headrest height is raised by 2cm; and the leg rest length is extended by 3cm. If the season is spring or autumn, no adjustment is made. Temperature and humidity compensation are then performed based on temperature and humidity information. If the temperature exceeds a high-temperature threshold, the backrest angle is adjusted to a lying position by 2°-5°, and seat ventilation is activated. If the temperature is below a low-temperature threshold, the backrest angle is adjusted to an upright position by 1°-4°, and seat heating is activated. If the humidity exceeds a first humidity threshold, the backrest angle is adjusted to a lying position by 2°, and dehumidification ventilation is activated. No compensation is performed when the temperature is moderate. Based on the aforementioned seat position, backrest angle, headrest height, and leg rest length, seat adjustments are performed, along with adjustments to the seat ventilation and heating functions. After the adjustments are completed, it is checked whether the user has made manual adjustments. If so, a seat adjustment mapping model is constructed; otherwise, the user accepts the current adjustments.

[0100] It should be understood that although the steps in the flowcharts of the above embodiments are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the above embodiments may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.

[0101] Based on the same inventive concept, this application also provides a seat adjustment device for implementing the seat adjustment method described above. The solution provided by this device is similar to the solution described in the above method; therefore, the specific limitations in one or more seat adjustment device embodiments provided below can be found in the limitations of the seat adjustment method described above, and will not be repeated here.

[0102] In one embodiment, such as Figure 5 As shown, a seat adjustment device is provided, including: an acquisition module 100, a compensation module 200, and an adjustment module 300, wherein:

[0103] The acquisition module 100 is used to acquire the baseline adjustment strategy and the vehicle's environmental information in response to the activation command of the bed mode of the seat to be adjusted.

[0104] The compensation module 200 is used to compensate the baseline adjustment strategy based on the environmental information and generate a target adjustment strategy.

[0105] The adjustment module 300 is used to adjust the seat to be adjusted according to the target adjustment strategy.

[0106] The compensation module 200 is further configured to compensate the baseline adjustment strategy based on the environmental information and a preset compensation strategy, thereby generating a target adjustment strategy; the environmental information includes at least one of seasonal information, temperature information, humidity information, and time information. The preset compensation strategy includes at least one of a preset seasonal compensation strategy, a preset temperature compensation strategy, a preset humidity compensation strategy, and a preset time compensation strategy.

[0107] The preset seasonal compensation strategy includes: if the season information is summer, adjusting the seat position in the strategy to be adjusted by a first preset distance in the first direction of the seat's fore-and-aft direction; and / or adjusting the backrest angle in the strategy to be adjusted by a first preset angle in the lying-flat direction; and / or lowering the headrest height in the strategy to be adjusted by a second preset distance; and / or shortening the leg rest length in the strategy to be adjusted by a third preset distance; and / or if the season information is winter, adjusting the seat position in the strategy to be adjusted by a fourth preset distance in the second direction of the seat's fore-and-aft direction; and / or adjusting the backrest angle in the strategy to be adjusted by a second preset angle in the upright direction; and / or raising the headrest height in the strategy to be adjusted by a fifth preset distance; and / or extending the leg rest length in the strategy to be adjusted by a sixth preset distance.

[0108] The preset temperature compensation strategy includes: if the temperature information is greater than a high temperature threshold, then determining a first temperature difference based on the temperature information and the high temperature threshold; determining a first adjustment angle based on the first temperature difference and a first angle adjustment step size; adjusting the backrest angle in the strategy to be adjusted towards the lying position using the first adjustment angle; and / or if the temperature information is less than a low temperature threshold, then determining a second temperature difference based on the temperature information and the low temperature threshold; determining a second adjustment angle based on the second temperature difference and a second angle adjustment step size; adjusting the backrest angle in the strategy to be adjusted towards the upright position using the second adjustment angle.

[0109] The preset humidity compensation strategy includes: if the humidity information is greater than or equal to the first humidity threshold, then the backrest angle in the adjustment strategy is adjusted to a third preset angle in the lying-flat direction.

[0110] The preset time compensation strategy includes: if the time information is within the nighttime time range, the backrest angle in the adjustment strategy will be adjusted to a fourth preset angle in the upright direction.

[0111] The adjustment module 300 is also used to acquire the seat adjustment command input by the user; adjust the seat to be adjusted according to the seat adjustment command, and record the optimized adjustment strategy after adjustment; and construct a seat adjustment mapping model corresponding to the user information based on the user information, the vehicle's environmental information and the corresponding optimized adjustment strategy after adjustment.

[0112] The acquisition module 100 is also used to acquire real-time user information of the seat to be adjusted and environmental information of the vehicle; determine the seat adjustment mapping model corresponding to the real-time user information based on the real-time user information; if the seat adjustment mapping model matches the environmental information, the matched optimized adjustment strategy is taken as the target adjustment strategy; if the seat adjustment mapping model does not match the environmental information, a baseline adjustment strategy is acquired.

[0113] Each module in the aforementioned seat adjustment device can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0114] In one embodiment, a vehicle is provided whose internal structure diagram can be as follows: Figure 6As shown, the vehicle includes a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface allows for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, mobile cellular networks, NFC (Near Field Communication), or other technologies. When executed by the processor, the computer program implements a seat adjustment method.

[0115] Those skilled in the art will understand that Figure 6 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the vehicle to which the present application is applied. A specific vehicle may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0116] In one embodiment, a vehicle is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement any of the seat adjustment methods described above.

[0117] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements any of the seat adjustment methods described above.

[0118] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements any of the seat adjustment methods described above.

[0119] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0120] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.

[0121] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0122] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for adjusting a seat, characterized in that, The method includes: In response to the command to activate the bed mode of the seat to be adjusted, the baseline adjustment strategy and the vehicle's environmental information are obtained; The baseline adjustment strategy is compensated based on the environmental information to generate a target adjustment strategy; The seat to be adjusted is adjusted according to the target adjustment strategy.

2. The method according to claim 1, characterized in that, The environmental information includes at least one of seasonal information, temperature information, humidity information, and time information; the step of compensating the baseline adjustment strategy based on the environmental information to generate a target adjustment strategy includes: Based on the environmental information and the preset compensation strategy, the baseline adjustment strategy is compensated to generate the target adjustment strategy; the preset compensation strategy includes at least one of the following: preset seasonal compensation strategy, preset temperature compensation strategy, preset humidity compensation strategy, and preset time compensation strategy.

3. The method according to claim 2, characterized in that, The preset seasonal compensation strategy includes: If the season information is summer, then the seat position in the adjustment strategy will be adjusted by a first preset distance in the first direction of the seat's fore-and-aft direction; and / or the backrest angle in the adjustment strategy will be adjusted by a first preset angle in the lying-flat direction; and / or the headrest height in the adjustment strategy will be reduced by a second preset distance; and / or the leg rest length in the adjustment strategy will be shortened by a third preset distance; and / or If the seasonal information is winter, then the seat position in the adjustment strategy will be adjusted to the second direction in the seat forward-backward direction by a fourth preset distance; and / or the backrest angle in the adjustment strategy will be adjusted to the upright direction by a second preset angle; and / or the headrest height in the adjustment strategy will be increased by a fifth preset distance; and / or the leg rest length in the adjustment strategy will be extended by a sixth preset distance.

4. The method according to claim 2, characterized in that, The preset temperature compensation strategy includes: If the temperature information is greater than the high temperature threshold, then a first temperature difference is determined based on the temperature information and the high temperature threshold; a first adjustment angle is determined based on the first temperature difference and the first angle adjustment step size; the backrest angle in the adjustment strategy is adjusted towards the lying position to change the first adjustment angle; and / or If the temperature information is less than the low temperature threshold, then a second temperature difference is determined based on the temperature information and the low temperature threshold; a second adjustment angle is determined based on the second temperature difference and the second angle adjustment step size; the backrest angle in the adjustment strategy is adjusted towards the upright direction to adjust the second adjustment angle.

5. The method according to claim 2, characterized in that, The preset humidity compensation strategy includes: If the humidity information is greater than or equal to the first humidity threshold, the backrest angle in the adjustment strategy will be adjusted to a third preset angle in the lying-flat direction.

6. The method according to claim 2, characterized in that, The preset time compensation strategy includes: If the time information is within the nighttime range, the backrest angle in the adjustment strategy will be adjusted to the fourth preset angle in the upright direction.

7. The method according to claim 1, characterized in that, After adjusting the seat to be adjusted according to the target adjustment strategy, the method further includes: Obtain the user's input for seat adjustment; The seat to be adjusted is adjusted according to the seat adjustment command, and the optimized adjustment strategy after adjustment is recorded. Based on user information, vehicle environmental information, and the corresponding optimized adjustment strategy, a seat adjustment mapping model corresponding to user information is constructed.

8. The method according to claim 7, characterized in that, The acquisition of the baseline adjustment strategy and the vehicle's environmental information includes: Obtain real-time user information about the seat to be adjusted, as well as environmental information about the vehicle; Based on the real-time user information, determine the seat adjustment mapping model corresponding to the real-time user information; If the seat adjustment mapping model matches the environmental information, the matched optimization adjustment strategy will be used as the target adjustment strategy. If the seat adjustment mapping model does not match the environmental information, a baseline adjustment strategy is obtained.

9. A vehicle comprising a memory and a processor, said memory storing a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 8.

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