Passenger comfort determination method, vehicle control method, device, medium, and vehicle

Abstract

The present disclosure relates to a passenger comfort degree determination method, a vehicle control method, a device, a medium and a vehicle. The passenger comfort degree determination method comprises: obtaining road information of a road section where the vehicle is currently located during driving of the vehicle; and determining passenger comfort degree of the vehicle on the road section where the vehicle is currently located according to the obtained road information and current working condition information of the vehicle. In this way, the passenger comfort degree of the vehicle on the road section where the vehicle is currently located can be objectively determined with high accuracy, and the passenger does not need to wear a sensor for collecting physiological data of the human body to detect physiological data of the passenger, so that the data acquisition method is more convenient and efficient, the detection speed of the passenger comfort degree is fast, and the user experience is good.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the field of vehicles, and in particular, to a passenger comfort degree determination method, a vehicle control method, an apparatus, a medium, and a vehicle. BACKGROUND

[0002] At present, vehicles have become an essential means of transportation in people's daily life. With the rapid development of vehicle manufacturing technology, people's demand for vehicle performance is also getting higher and higher. In addition to good power performance and safety performance, vehicles also need to ensure good passenger comfort degree. If the passenger comfort degree of a vehicle is low, the passenger's ride experience is poor. In vehicle control, there is an urgent need to accurately determine the passenger comfort degree of a vehicle.

[0003] In related technologies, the physiological data of passengers is usually obtained through a human body data sensor, and the passenger comfort degree is determined according to the obtained physiological data. However, this method is cumbersome and costly to determine the passenger comfort degree. SUMMARY

[0004] To overcome the problems in the related art, the present disclosure provides a passenger comfort degree determination method, a vehicle control method, an apparatus, a medium, and a vehicle.

[0005] According to a first aspect of an embodiment of the present disclosure, a passenger comfort degree determination method is provided, comprising:

[0006] obtaining road information of a road section where the vehicle is currently located during vehicle driving;

[0007] determining a passenger comfort degree of the vehicle on the current road section according to the obtained road information and current working condition information of the vehicle.

[0008] Optionally, the road information includes at least one of road surface flatness and road curvature degree, and the working condition information includes at least one of vehicle speed and vehicle driving mode.

[0009] Optionally, the determining the passenger comfort degree of the vehicle on the current road section according to the obtained road information and the current working condition information of the vehicle comprises:

[0010] determining a road type of the road section where the vehicle is currently located according to the obtained road information;

[0011] determining the passenger comfort degree of the vehicle on the current road section according to the determined road type and the current working condition information of the vehicle.

[0012] Optionally, the determining the road type of the road section where the vehicle is currently located according to the obtained road information comprises:

[0013] The road type corresponding to the acquired road information is searched in a predetermined first correspondence relationship, as the road type of the road segment where the vehicle is currently located, the first correspondence relationship including a correspondence relationship between the road information and the road type.

[0014] Optionally, the determination of the occupant comfort level of the vehicle in the current road segment according to the determined road type and the current working condition information of the vehicle comprises:

[0015] The occupant comfort level corresponding to the determined road type and the current working condition information of the vehicle is searched in a predetermined second correspondence relationship, as the occupant comfort level of the vehicle in the current road segment, the second correspondence relationship including a correspondence relationship between the road type, the working condition information and the occupant comfort level.

[0016] Optionally, the method further comprises:

[0017] Acquiring road information within a target trip of the vehicle;

[0018] Determining road types contained in the target trip according to the road information within the target trip;

[0019] Dividing the target trip into one or more road segments according to the road types contained in the target trip;

[0020] For each road segment, determining an occupant comfort level of the vehicle in the road segment according to the road type of the road segment and the current working condition information of the vehicle.

[0021] According to a second aspect of the embodiments of the present disclosure, a vehicle control method is provided, comprising:

[0022] Determining the occupant comfort level of the vehicle in the current road segment according to the method provided in the first aspect of the present disclosure;

[0023] Determining the current user identity information of the vehicle;

[0024] Determining a target comfort level according to the current user identity information of the vehicle;

[0025] Controlling at least one of the seat, the active suspension and the air spring of the vehicle according to the determined target comfort level.

[0026] Optionally, the determination of the target comfort level according to the current user identity information of the vehicle comprises:

[0027] In a predetermined third correspondence relationship, a target comfort level corresponding to the current user identity information of the vehicle is searched as the determined target comfort level, and the third correspondence relationship includes a correspondence relationship between the user identity information and the target comfort level.

[0028] According to a third aspect of the embodiments of the present disclosure, an occupant comfort level determination apparatus is provided, comprising:

[0029] The first acquisition module is configured to acquire road information of a road segment where the vehicle is currently located during vehicle driving;

[0030] The first determination module is configured to determine an occupant comfort level of the vehicle on the road segment where the vehicle is currently located according to the acquired road information and current working condition information of the vehicle.

[0031] According to a fourth aspect of the embodiments of the present disclosure, a vehicle control apparatus is provided, comprising:

[0032] The second determination module is configured to determine an occupant comfort level of the vehicle on the road segment where the vehicle is currently located according to the method provided by the first aspect of the present disclosure;

[0033] The third determination module is configured to determine current user identity information of the vehicle.

[0034] The fourth determination module is configured to determine a target comfort level according to the current user identity information of the vehicle.

[0035] The control module is configured to control at least one of a seat, an active suspension and an air spring of the vehicle according to the determined target comfort level.

[0036] According to a fifth aspect of the embodiments of the present disclosure, a computer readable storage medium is provided, which stores computer program instructions, and the program instructions are executed by a first processor to implement steps of the occupant comfort level determination method provided by the first aspect of the present disclosure, or implement steps of the vehicle control method provided by the second aspect of the present disclosure.

[0037] According to a sixth aspect of the embodiments of the present disclosure, a vehicle is provided, comprising:

[0038] A second processor;

[0039] A second memory for storing instructions executable by the second processor;

[0040] The second processor is configured to:

[0041] Implement steps of the occupant comfort level determination method provided by the first aspect of the present disclosure, or implement steps of the vehicle control method provided by the second aspect of the present disclosure.

[0042] The technical solution provided by the embodiments of the present disclosure can have the following beneficial effects: the passenger comfort degree of the vehicle on the current road segment is determined according to the road information of the current road segment where the vehicle is located and the current working condition information of the vehicle. In this way, the passenger comfort degree of the vehicle on the current road segment can be objectively determined with high accuracy, and the physiological data of the passenger does not need to be collected by wearing a sensor, so that the data acquisition method is more convenient and efficient, the detection speed of the passenger comfort degree is fast, and the user experience is good.

[0043] It should be understood that the foregoing general description and the following detailed description are only exemplary and explanatory, and are not limiting to the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0044] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments consistent with the present disclosure and serve to explain the principles of the present disclosure together with the description.

[0045] Figure 1 is a flowchart of a passenger comfort degree determination method according to an exemplary embodiment.

[0046] Figure 2 is a flowchart of a vehicle control method according to an exemplary embodiment.

[0047] Figure 3 is a block diagram of a passenger comfort degree determination apparatus according to an exemplary embodiment.

[0048] Figure 4 is a block diagram of a vehicle control apparatus according to an exemplary embodiment.

[0049] Figure 5 is a functional block diagram of a vehicle according to an exemplary embodiment. DETAILED DESCRIPTION

[0050] The exemplary embodiments will be described in detail herein with reference to the attached drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present disclosure. Instead, they are merely examples of apparatuses and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0051] It should be noted that all actions of acquiring signals, information or data in the present application are carried out in accordance with the corresponding data protection regulations and policies of the country where the device is located, and with the authorization of the owner of the corresponding device.

[0052] Figure 1 This is a flowchart illustrating a method for determining occupant comfort according to an exemplary embodiment.

[0053] like Figure 1 As shown, the method includes the following steps.

[0054] In step S101, during the vehicle's journey, road information of the current road segment where the vehicle is located is obtained.

[0055] 5. The current road segment where the vehicle is located can be a road segment within a predetermined distance (e.g., 10km) ahead in the direction of travel. Road information may include, for example, road surface smoothness and gradient. Road information for the current segment can be obtained from the in-vehicle navigation map or from a vehicle network server. For example, if the in-vehicle navigation map indicates that the current road segment is a highway, then the corresponding road surface smoothness is Level 1 (the highest level). Or, if the in-vehicle navigation map indicates that the current road segment is an uphill road...

[0056] In step S102, the passenger comfort level of the vehicle in the current road segment is determined based on the acquired road information and the vehicle's current operating condition information.

[0057] Current vehicle operating information may include, for example, vehicle speed and engine speed. The passenger comfort level on the current road segment is related to the road information and the vehicle's current operating conditions.

[0058] Information is relevant. Different road sections have different geographical locations and road information, which can lead to varying passenger comfort levels when a vehicle travels on different road sections. For example, even at the same speed, passenger comfort will differ significantly when a vehicle travels on a rough road versus a smooth road. Similarly, passenger comfort will differ when a vehicle travels at different speeds on the same road section, even if the road information is the same. Therefore, passenger comfort can be determined based on the acquired road information and the vehicle's current operating conditions.

[0059] The above technical solution determines the passenger comfort level of the vehicle on its current road segment based on road information and vehicle operating conditions. This not only provides an objective and accurate assessment of passenger comfort on the current road segment, but also eliminates the need for passengers to wear sensors to collect physiological data. Therefore, data acquisition is more convenient and efficient, passenger comfort detection is faster, and the user experience is better.

[0060] In another embodiment, the road information includes at least one of road surface smoothness and road curvature, and the operating condition information includes at least one of vehicle speed and vehicle driving mode.

[0061] The road information can include at least one of road surface flatness and road curvature. The road surface flatness and the road curvature of the road segment where the vehicle is currently located can be obtained through the on-board map of the vehicle. For example, if the on-board map indicates that the road segment where the vehicle is currently located is a highway, a national or provincial road, or a rural road, the road surface flatness is level one, level two, and level three, respectively. If the on-board map indicates that there are 1-3 turns exceeding 45° within 10 kilometers on the road segment where the vehicle is currently located, the road curvature is level one, if there are 4-6 turns, the road curvature is level two, and if there are more than 7 turns, the road curvature is level three.

[0062] The road surface flatness is the ruggedness of the road segment where the vehicle is currently located. In the case where other factors are the same, the higher the road surface flatness, the smaller the jolt of the vehicle, and the higher the comfort of the passenger; the lower the road surface flatness, the more the pits and bumps of the road, the greater the jolt of the vehicle, and the lower the comfort of the passenger.

[0063] When the vehicle travels at the same speed on road segments with different road curvatures, if the road curvature of the road segment where the vehicle is currently located is large, the passenger's sense of shaking is intense, and the passenger's comfort is low; if the road curvature of the road segment where the vehicle is currently located is small, the passenger's sense of shaking is weak, and the passenger's comfort is high.

[0064] The working condition information can include at least one of the vehicle speed and the driving mode of the vehicle. Generally, in the case where other factors are the same, the speed of the vehicle is positively correlated with the comfort of the passenger. If the speed of the vehicle is fast, the comfort of the passenger is low; if the speed of the vehicle is slow, the comfort of the passenger is high. The speed of the vehicle can be obtained through the speed sensor arranged in the vehicle.

[0065] The driving mode of the vehicle can be automatically adjusted according to the working condition of the vehicle or changed according to the control of the driver. The driving mode of the vehicle can include an energy-saving mode, a sports mode, an off-road mode, etc. In different driving modes, the speed of the engine, the rotation damping of the steering wheel, and the softness of the suspension, etc. are different. If the vehicle travels at the same road segment in different driving modes, the comfort of the passenger can also be different.

[0066] In this embodiment, in the process of determining the comfort of the passenger of the vehicle on the road segment where the vehicle is currently located, the influences of the road surface flatness, the road curvature, the speed of the vehicle, and the driving mode of the vehicle on the determination of the comfort of the passenger are considered, and the accuracy is improved.

[0067] In yet another embodiment, the above determining the comfort of the passenger of the vehicle on the road segment where the vehicle is currently located according to the obtained road information and the current working condition information of the vehicle comprises:

[0068] determining the road type of the road segment where the vehicle is currently located according to the obtained road information;

[0069] According to the determined road type and the current working condition information of the vehicle, the passenger comfort degree of the vehicle on the current road section is determined.

[0070] The road information can include at least one of road surface flatness and road curvature, and after at least one of the road surface flatness and the road curvature of the current road section where the vehicle is located is acquired, the road type of the current road section where the vehicle is located can be determined according to the acquired at least one of the road surface flatness and the road curvature. For example, when the road information includes the road surface flatness, the road type can include two types of flat road and bumpy road; when the road information includes the road curvature, the road type can include two types of straight road and curved road; and when the road information includes the road surface flatness and the road curvature, the road type can include four types of straight bumpy road, curved bumpy road, straight flat road and curved flat road. For example, if the acquired road information indicates that the road surface flatness is level one and level two, it can be determined that the road type is flat road; if the acquired road information indicates that the road flatness is level three and the road curvature is level three, it can be determined that the road type is curved bumpy road. More road types can be set according to the flatness and the road curvature.

[0071] The working condition information of the vehicle can include at least one of vehicle speed and vehicle driving mode. When the vehicle travels on the same road section in different working conditions, although the road type is the same, the passenger comfort degree can also be different due to the different working condition information of the vehicle. For example, when the vehicle travels on the same road section at different speeds, if the determined road type is a bumpy road, it can be determined that the passenger comfort degree of the vehicle on the current road section is different (the faster the speed, the more intense the bumpy degree of the vehicle). When the vehicle travels on the same road section in different vehicle driving modes, if the determined road type is a curved bumpy road, it can be determined that the passenger comfort degree of the vehicle on the current road section is different (the shock absorption effect of the vehicle is different in different vehicle driving modes, and the shaking degree of the vehicle body is different). Therefore, after the road type of the current road section where the vehicle is located is determined, the passenger comfort degree of the vehicle on the current road section can be determined according to the determined road type and at least one of the current vehicle speed and the vehicle driving mode of the vehicle.

[0072] The passenger comfort degree determined according to the road type and the working condition information of the vehicle can be realized in various ways. For example, each road type can have a corresponding first reference value, each working condition information can have a corresponding second reference value, the road type and the working condition information have respective weight values, and the passenger comfort degree is a weighted average of the first reference value and the second reference value.

[0073] In this embodiment, the passenger comfort degree of the vehicle on the current road section can be reliably and accurately determined according to the determined road type and the current working condition information of the vehicle.

[0074] In yet another embodiment, the determining of the road type of the road segment where the vehicle is currently located according to the obtained road information comprises:

[0075] Looking up the road type corresponding to the obtained road information in a predetermined first correspondence relationship as the road type of the road segment where the vehicle is currently located, the first correspondence relationship comprising a correspondence relationship between road information and road type.

[0076] The first correspondence relationship can be pre-calibrated by designers according to tests. For example, in the first correspondence relationship, the road information is road surface flatness level three, and the corresponding road type is a bumpy road; the road information is road curvature level one, and the corresponding road type is a straight road; the road information is road surface flatness level three and road curvature level three, and the corresponding road type is a multi-bend and bumpy road.

[0077] In this embodiment, the table lookup method can quickly determine the road type corresponding to the road information, and the method is simple and fast in data processing.

[0078] In yet another embodiment, the determining of the passenger comfort level of the vehicle in the road segment where the vehicle is currently located according to the determined road type and the current working condition information of the vehicle comprises:

[0079] Looking up the passenger comfort level corresponding to the determined road type and the current working condition information of the vehicle in a predetermined second correspondence relationship as the passenger comfort level of the vehicle in the road segment where the vehicle is currently located, the second correspondence relationship comprising a correspondence relationship between road type, working condition information and passenger comfort level.

[0080] The second correspondence relationship can be pre-calibrated by designers according to tests. For example, in the second correspondence relationship, the working condition information is a vehicle speed greater than 60 km / h, the road type is a bumpy road, and the corresponding passenger comfort level is level three; the working condition information is that the vehicle driving mode is in energy-saving mode, the road type is a flat road, and the corresponding passenger comfort level is level one; the working condition information is that the vehicle speed is greater than 60 km / h and the driving mode is in sports mode, the road type is a curved road, and the corresponding passenger comfort level is level four.

[0081] In this embodiment, the table lookup method can quickly determine the road type corresponding to the road information, and the method is simple and fast in data processing.

[0082] In yet another embodiment, the method further comprises:

[0083] Obtaining road information within a target journey of the vehicle;

[0084] Determining road types contained in the target journey according to the road information within the target journey;

[0085] According to the road types contained in the target trip, the target trip is divided into one or more road segments;

[0086] For each road segment, the passenger comfort of the vehicle in the road segment is determined according to the road type of the road segment and the current working condition information of the vehicle.

[0087] The target trip can contain one or more road types. A continuous section of the same road type can be divided into a road segment. For example, according to the target trip in the navigation map, first go on the highway, then go on a section of the township road, and then go on a section of the highway to reach the destination. The target trip can be divided into three road segments of highway-township road-highway.

[0088] In this embodiment, the current working condition information of the vehicle is taken as the working condition information of the vehicle in each road segment, and the passenger comfort of the vehicle in each road segment is predicted in combination with the road type of each road segment. That is, the passenger comfort of the vehicle when traveling in the current working condition in each road segment to be reached is predicted. In this way, the user can be provided with a prediction of the comfort and a reference for whether to change the working condition of the vehicle, so as to achieve the effect of pre-warning, and facilitate the user to change the working condition of the vehicle in advance to improve the comfort when needed, thereby improving the user experience.

[0089] Figure 2 is a flowchart of a vehicle control method according to an exemplary embodiment. As shown in Figure 2 , the method comprises the following steps.

[0090] In step S201, the passenger comfort of the vehicle in the current road segment is determined according to the above-described passenger comfort determination method.

[0091] In step S202, the current user identity information of the vehicle is determined.

[0092] In step S203, the target comfort is determined according to the current user identity information of the vehicle.

[0093] In step S204, at least one of the seat, the active suspension and the air spring of the vehicle is controlled according to the determined target comfort.

[0094] The user's voice information can be obtained by a voice sensor arranged in the vehicle interior, and the user's identity information is determined according to the obtained voice information. The user's fingerprint information can also be obtained by a fingerprint sensor arranged on the side door handle of the vehicle, and the user's identity information is determined according to the obtained fingerprint information. Different users can have different target comfort. The comfort requirements of different users can be set as their respective target comfort in advance. After the identity information of the user is determined, the target comfort corresponding to the user identity information can be found out.

[0095] If the determined target comfort level is higher than the determined occupant comfort level (i.e. the comfort level requirement of the current user is not met), a difference between the target comfort level and the occupant comfort level can be determined, and at least one of the seat, the active suspension and the air spring of the vehicle is controlled according to the determined difference.

[0096] If the difference is less than or equal to a first difference threshold, the opening angle of the waist support component of the seat of the vehicle can be controlled to decrease; if the difference is greater than the first difference threshold and less than a second difference threshold, the damping coefficient of the active suspension of the vehicle can be controlled to decrease; if the difference is greater than or equal to the second difference threshold, the damping coefficient of the active suspension of the vehicle can be controlled to decrease and the air spring of the vehicle can be controlled to become soft.

[0097] For example, if the determined target comfort level is 80% and the occupant comfort level is 70%, the determined difference is 10% (the first difference threshold), the opening angle of the waist support component of the seat of the vehicle can be controlled to decrease, so that the support force of the seat on the waist of the user is increased. If the determined target comfort level of the user is 90% and the occupant comfort level is 60%, the determined difference is 30% (the second difference threshold), the damping coefficient of the active suspension of the vehicle can be controlled to decrease and the air spring of the vehicle can be controlled to become soft, so that the shock absorption performance of the vehicle is improved.

[0098] With the above technical solution, the target comfort level is determined according to the current user identity information of the vehicle, and at least one of the seat, the active suspension and the air spring of the vehicle is controlled according to the determined target comfort level. In this way, the comfort level of the user can be improved by adjusting the related components of the vehicle when necessary, so as to meet the user's requirements and improve the user's riding experience.

[0099] In yet another embodiment, the above determination of the target comfort level according to the current user identity information of the vehicle comprises:

[0100] In a predetermined third correspondence relationship, the target comfort level corresponding to the current user identity information of the vehicle is found as the determined target comfort level, and the third correspondence relationship comprises a correspondence relationship between the user identity information and the target comfort level.

[0101] The third correspondence relationship can be pre-set by a designer. For example, if the user's identity information is determined to be A, the target comfort level can be determined to be 90%; if the user's identity information is determined to be B, the target comfort level can be determined to be 80%; and if the user's identity information is determined to be C, the target comfort level can be determined to be 70%.

[0102] In this embodiment, the table lookup method is used to quickly determine the target comfort level corresponding to the user identity information, and the method is simple and the data processing speed is fast.

[0103] Based on the same inventive concept, the disclosure further provides a passenger comfort degree determination apparatus. Figure 3 is a block diagram of a passenger comfort degree determination apparatus according to an exemplary embodiment. As shown in the figure, the passenger comfort degree determination apparatus 300 comprises a first acquisition module 301 and a first determination module 302. Figure 3

[0104] The first acquisition module 301 is configured to acquire road information of a road section where the vehicle is currently located during vehicle driving.

[0105] The first determination module 302 is configured to determine a passenger comfort degree of the vehicle on the road section where the vehicle is currently located according to the acquired road information and current working condition information of the vehicle.

[0106] Optionally, the road information comprises at least one of road surface flatness and road curvature degree, and the working condition information comprises at least one of vehicle speed and vehicle driving mode.

[0107] Optionally, the first determination module 302 comprises a first determination submodule and a second determination submodule.

[0108] The first determination submodule is configured to determine a road type of the road section where the vehicle is currently located according to the acquired road information.

[0109] The second determination submodule is configured to determine the passenger comfort degree of the vehicle on the road section where the vehicle is currently located according to the determined road type and the current working condition information of the vehicle.

[0110] Optionally, the first determination submodule is further configured to find out a road type corresponding to the acquired road information as the road type of the road section where the vehicle is currently located in a predetermined first correspondence relationship, the first correspondence relationship comprising a correspondence relationship between road information and road type.

[0111] Optionally, the second determination submodule is further configured to find out a passenger comfort degree corresponding to the determined road type and the current working condition information of the vehicle as the passenger comfort degree of the vehicle on the road section where the vehicle is currently located in a predetermined second correspondence relationship, the second correspondence relationship comprising a correspondence relationship between road type, working condition information and passenger comfort degree.

[0112] Optionally, the passenger comfort degree determination apparatus 300 further comprises a second acquisition module, a fifth determination module, a division module and a sixth determination module.

[0113] The second acquisition module is configured to acquire road information within a target trip of the vehicle.

[0114] The fifth determination module is configured to determine road types contained in the target trip according to the road information within the target trip.

[0115] ​The dividing module is configured to divide the target trip into one or more road segments according to road types contained in the target trip.

[0116] The sixth determining module is configured to determine, for each road segment, occupant comfort of the vehicle in the road segment according to the road type of the road segment and the current working condition information of the vehicle.

[0117] As to the apparatus in the above-described embodiments, the specific manners in which the respective modules perform operations have been described in detail in the embodiments of the method, and thus will not be described in detail here.

[0118] According to the above technical solution, the occupant comfort of the vehicle in the current road segment is determined according to the road information of the current road segment and the current working condition information of the vehicle. In this way, the occupant comfort of the vehicle in the current road segment can be objectively determined with high accuracy, and the physiological data of the occupant does not need to be collected by the sensor worn by the passenger to detect the physiological data of the occupant, so that the data acquisition manner is more convenient and efficient, the detection speed of the passenger comfort is fast, and the user experience is good.

[0119] Based on the same inventive concept, the disclosure also provides a vehicle control apparatus. Figure 4 is a block diagram of a vehicle control apparatus according to an example embodiment. As shown in Figure 4 The vehicle control apparatus 400 includes a second determining module 401, a third determining module 402, a fourth determining module 403, and a control module 404.

[0120] The second determining module 401 is configured to determine the occupant comfort of the vehicle in the current road segment according to the above-described occupant comfort determination method.

[0121] The third determining module 402 is configured to determine the current user identity information of the vehicle.

[0122] The fourth determining module 403 is configured to determine a target comfort according to the current user identity information of the vehicle.

[0123] The control module 404 is configured to control at least one of the seat, the active suspension, and the air spring of the vehicle according to the determined target comfort.

[0124] Optionally, the fourth determining module 403 includes a searching sub-module.

[0125] The searching sub-module is configured to search for, as the determined target comfort, a target comfort corresponding to the current user identity information of the vehicle in a predetermined third correspondence relationship, the third correspondence relationship including a correspondence relationship between the user identity information and the target comfort.

[0126] With regard to the apparatus in the above-described embodiments, the specific manner in which each module performs operations has been described in detail in the embodiments related to the method, and thus will not be described in detail here.

[0127] According to the technical solution, the target comfort level is determined according to the current user identity information of the vehicle, and at least one of the seat, the active suspension and the air spring of the vehicle is controlled according to the determined target comfort level. In this way, the comfort level of the user can be improved by adjusting the related parts of the vehicle when necessary, so as to meet the user's demand and improve the user's riding experience.

[0128] The present disclosure also provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a first processor, implement the steps of the occupant comfort level determination method provided by the present disclosure, or implement the steps of the vehicle control method provided by the present disclosure.

[0129] The present disclosure also provides a vehicle including a second processor and a second memory for storing second processor-executable instructions. The second processor is configured to implement the steps of the occupant comfort level determination method provided by the present disclosure, or implement the steps of the vehicle control method provided by the present disclosure.

[0130] Referring to Figure 5 , Figure 5 is a block diagram of a vehicle 600 according to an example embodiment. For example, the vehicle 600 can be a hybrid vehicle, or a non-hybrid vehicle, an electric vehicle, a fuel cell vehicle, or other types of vehicles. The vehicle 600 can be an autonomous vehicle, a semi-autonomous vehicle, or a non-autonomous vehicle.

[0131] Referring to Figure 5 , the vehicle 600 can include various subsystems, such as an infotainment system 610, a perception system 620, a decision control system 630, a drive system 640, and a computing platform 650. The vehicle 600 can include more or fewer subsystems, and each subsystem can include multiple components. In addition, each subsystem of the vehicle 600 and each component can be interconnected by wired or wireless means.

[0132] In some embodiments, the infotainment system 610 can include a communication system, an entertainment system, a navigation system, and the like.

[0133] The perception system 620 can include several sensors for sensing information of the environment surrounding the vehicle 600. For example, the perception system 620 can include a global positioning system (which can be a GPS system, a Beidou system, or other positioning system), an inertial measurement unit (IMU), a laser radar, a millimeter wave radar, an ultrasonic radar, and a camera.

[0134] The decision control system 630 can include a computing system, a vehicle controller, a steering system, a throttle, and a braking system.

[0135] The drive system 640 can include components that provide motive power for the vehicle 600. In one embodiment, the drive system 640 can include an engine, an energy source, a transmission system, and wheels. The engine can be one or a combination of an internal combustion engine, an electric motor, an air compression engine. The engine is capable of converting energy provided by the energy source into mechanical energy.

[0136] Some or all functions of the vehicle 600 are controlled by the computing platform 650. The computing platform 650 can include at least one second processor 651 and a second memory 652, the second processor 651 can execute instructions 653 stored in the second memory 652.

[0137] The second processor 651 can be any conventional processor, such as commercially available CPUs. The processor can also include a graphics processor unit (GPU), a field programmable gate array (FPGA), a system on chip (SOC), an application specific integrated circuit (ASIC), or a combination thereof.

[0138] The second memory 652 can be implemented by any type of volatile or nonvolatile storage devices or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk.

[0139] In addition to the instructions 653, the second memory 652 can also store data, such as road maps, route information, the position, direction, speed, and the like of the vehicle. The data stored in the second memory 652 can be used by the computing platform 650.

[0140] In this embodiment of the present disclosure, the second processor 651 may execute instructions 653 to complete all or part of the steps of the above-described occupant comfort method, or to complete all or part of the steps of the above-described vehicle control method.

[0141] In another exemplary embodiment, a computer program product is also provided, the computer program product...

[0142] The product includes a computer program executable by a programmable device, the computer program having code portions for performing the aforementioned occupant comfort determination method when executed by the programmable device, or...

[0143] The code portion used to execute the vehicle control method described above.

[0144] Other embodiments of this disclosure will be readily apparent to those skilled in the art upon consideration of the specification and practice of this disclosure. This application is intended to cover any variations, uses, or adaptations of this disclosure.

[0145] Some variations, uses, or adaptations follow the general principles of this disclosure and include common knowledge or customary techniques in the art that are not disclosed in this disclosure. The description and embodiments are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0146] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A passenger comfort determination method characterized by, The method comprises: acquiring road information of a road segment where the vehicle is currently located during driving of the vehicle; determining occupant comfort of the vehicle on the road segment where the vehicle is currently located according to the acquired road information and current working condition information of the vehicle, wherein the road information comprises at least one of road surface flatness and road bending degree, and the working condition information comprises at least one of vehicle speed and vehicle driving mode; The method further comprises: acquiring road information within a target trip of the vehicle; determining road types contained in the target trip according to the road information within the target trip; dividing the target trip into one or more road segments according to the road types contained in the target trip; for each road segment, determining occupant comfort of the vehicle on the road segment according to the road type of the road segment and the current working condition information of the vehicle.

2. The method of claim 1, wherein, The determination of the occupant comfort of the vehicle on the road segment where the vehicle is currently located according to the acquired road information and the current working condition information of the vehicle comprises: determining a road type of the road segment where the vehicle is currently located according to the acquired road information; determining the occupant comfort of the vehicle on the road segment where the vehicle is currently located according to the determined road type and the current working condition information of the vehicle.

3. The method of claim 2, wherein, The determination of the road type of the road segment where the vehicle is currently located according to the acquired road information comprises: looking up a road type corresponding to the acquired road information in a predetermined first correspondence relationship as the road type of the road segment where the vehicle is currently located, wherein the first correspondence relationship comprises a correspondence relationship between the road information and the road type.

4. The method of claim 2, wherein, The determination of the occupant comfort of the vehicle on the road segment where the vehicle is currently located according to the determined road type and the current working condition information of the vehicle comprises: looking up an occupant comfort corresponding to the determined road type and the current working condition information of the vehicle in a predetermined second correspondence relationship as the occupant comfort of the vehicle on the road segment where the vehicle is currently located, wherein the second correspondence relationship comprises a correspondence relationship between the road type, the working condition information and the occupant comfort.

5. A vehicle control method characterized by, The method comprises: determining the occupant comfort of the vehicle on the road segment where the vehicle is currently located according to the method in any one of claims 1-4; determining current user identity information of the vehicle; determining a target comfort according to the current user identity information of the vehicle; controlling at least one of a seat, an active suspension and an air spring of the vehicle according to the determined target comfort.

6. The method of claim 5, wherein, The determination of the target comfort according to the current user identity information of the vehicle comprises: looking up a target comfort corresponding to the current user identity information of the vehicle in a predetermined third correspondence relationship as the determined target comfort, wherein the third correspondence relationship comprises a correspondence relationship between the user identity information and the target comfort.

7. An occupant comfort determination device characterized by comprising: The device comprises: a first acquisition module configured to acquire road information of a road segment where the vehicle is currently located during driving of the vehicle; The first determining module is configured to determine the passenger comfort degree of the vehicle on the current road segment according to the obtained road information and the current working condition information of the vehicle, wherein the road information comprises at least one of road surface flatness and road bending degree, and the working condition information comprises at least one of vehicle speed and vehicle driving mode. The passenger comfort degree determining device further comprises: The second obtaining module is configured to obtain road information within a target trip of the vehicle; The fifth determining module is configured to determine road types contained in the target trip according to the road information within the target trip; The dividing module is configured to divide the target trip into one or more road segments according to the road types contained in the target trip; The sixth determining module is configured to determine, for each road segment, the passenger comfort degree of the vehicle on the road segment according to the road type of the road segment and the current working condition information of the vehicle.

8. A vehicle control device characterized by comprising: The device comprises: The second determining module is configured to determine the passenger comfort degree of the vehicle on the current road segment according to the method in any one of claims 1-4; The third determining module is configured to determine the current user identity information of the vehicle; The fourth determining module is configured to determine a target comfort degree according to the current user identity information of the vehicle; The control module is configured to control at least one of a seat, an active suspension and an air spring of the vehicle according to the determined target comfort degree.

9. A computer-readable storage medium having stored thereon computer program instructions, wherein, The program instructions are executed by the first processor to implement the steps of the method in any one of claims 1-6.

10. A vehicle characterized by comprising: Comprise: A second processor; A second memory for storing instructions executable by the second processor; Wherein the second processor is configured to: Implement the steps of the method in any one of claims 1-6.

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