CN113932945A

CN113932945A - Method, device and storage medium for determining vehicle external temperature

Info

Publication number: CN113932945A
Application number: CN202111129950.0A
Authority: CN
Inventors: 夏永丰
Original assignee: Beijing Rockwell Technology Co Ltd
Current assignee: Beijing Rockwell Technology Co Ltd
Priority date: 2021-09-26
Filing date: 2021-09-26
Publication date: 2022-01-14

Abstract

The embodiment of the application provides a method and equipment for determining the external temperature of a vehicle and a storage medium. In the method, vehicle external temperature data is acquired through a temperature sensor of a vehicle; acquiring environmental data of a vehicle, wherein the environmental data comprises the position of the vehicle, sunlight data and reference temperature data; determining the scene of the vehicle according to the environment data; and correcting the vehicle external temperature data based on the scene where the vehicle is located and/or the reference temperature data to obtain the target vehicle external temperature data. According to the method, the recognition result of the scene where the vehicle is located and the reference temperature data are fused into the correction process of the external temperature data of the vehicle, so that more environmental information is fused into the correction process, the measurement error of the external temperature of the vehicle caused by the heat radiation of a cabin of the vehicle is avoided, the external temperature data of the target vehicle is closer to the actual temperature of the surrounding environment, the accuracy of the external temperature data of the vehicle is improved, and the comfort of a vehicle-mounted air conditioner is optimized.

Description

Method, device and storage medium for determining vehicle external temperature

Technical Field

The present disclosure relates to the field of data processing technologies, and in particular, to a method, a device, and a storage medium for determining an external temperature of a vehicle.

Background

With the increasing demand of users for riding comfort, automatic air conditioners are applied to automobiles on a large scale.

In the related art, control of an automatic air conditioner relies on vehicle external temperature data collected by a temperature sensor. And the temperature sensor for gathering the outside temperature data of vehicle is generally arranged at the air grid before the vehicle to guarantee good air convection condition, avoid the direct interference that brings of sunshine.

However, the temperature sensor is limited by the position, and is affected by the heat radiation of the cabin of the vehicle, and often the change condition of the actual temperature outside the vehicle cannot be accurately reflected, so that the air outlet temperature controlled by the vehicle-mounted automatic air conditioner obviously fluctuates. Therefore, a solution to the above problem is needed.

Disclosure of Invention

The embodiment of the application provides a method, equipment and a storage medium for determining the external temperature of a vehicle, which are used for improving the accuracy of external temperature data of the vehicle and assisting in optimizing the comfort of a vehicle-mounted air conditioner.

The embodiment of the application provides a method for determining the external temperature of a vehicle, which comprises the following steps:

acquiring vehicle external temperature data through a temperature sensor of a vehicle;

acquiring environmental data of a vehicle, the environmental data including: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data;

determining the scene of the vehicle according to the environment data;

and correcting the vehicle external temperature data based on the scene where the vehicle is located and/or the reference temperature data to obtain the target vehicle external temperature data.

An embodiment of the present application further provides a device for determining an external temperature of a vehicle, including:

the temperature acquisition module is used for acquiring external temperature data of the vehicle through a temperature sensor of the vehicle;

an environmental data acquisition module for acquiring environmental data of a vehicle, the environmental data including: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data;

the scene recognition module is used for determining the scene of the vehicle according to the environment data;

and the correction module is used for correcting the external temperature data of the vehicle based on the scene where the vehicle is located and/or the reference temperature data so as to obtain the external temperature data of the target vehicle.

An embodiment of the present application further provides an electronic device, including: a memory, a processor, and a display component; the memory to store one or more computer instructions; the processor is configured to execute the one or more computer instructions to implement the steps of the method for determining a vehicle exterior temperature described above.

Embodiments of the present application also provide a computer-readable storage medium storing a computer program, which when executed, can implement the steps in the method for determining the vehicle external temperature.

According to the method, the device and the storage medium for determining the external temperature of the vehicle, the scene where the vehicle is located can be determined through the environment data, and the external temperature data of the vehicle, which is acquired by the temperature sensor, is corrected based on the scene where the vehicle is located and the reference temperature data, so that the external temperature data of the target vehicle is obtained. The target vehicle outside temperature data can be closer to the actual temperature of the surrounding environment. In the embodiment of the application, more environmental information is fused into the correction process by fusing the recognition result of the scene where the vehicle is located and the reference temperature data into the correction process of the external temperature data of the vehicle, and the measurement error of the external temperature of the vehicle caused by the thermal radiation of the cabin of the vehicle is corrected, so that the finally obtained external temperature data of the vehicle is closer to the actual temperature of the surrounding environment, and the accuracy of the external temperature data of the vehicle is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

FIG. 1 is a schematic flow chart diagram of a method for determining an external vehicle temperature provided in an exemplary embodiment of the present application;

FIG. 2 is a schematic diagram illustrating a method for determining an external vehicle temperature according to an exemplary embodiment of the present application;

FIG. 3 is a schematic structural diagram of an architecture for determining an external temperature of a vehicle according to an exemplary embodiment of the present application;

fig. 4 is a schematic structural diagram of a device for determining an external temperature of a vehicle according to an exemplary embodiment of the present application;

fig. 5 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

Aiming at the technical problem that the change condition of the actual temperature outside the vehicle can not be accurately reflected by the position where a temperature sensor is located in the related technology, so that the air outlet temperature of the vehicle-mounted automatic air conditioner obviously fluctuates, in some embodiments of the application, a scheme for determining the external temperature of the vehicle is provided.

In the determination scheme of the vehicle external temperature, the recognition result of the scene where the vehicle is located and the reference temperature data are fused into the correction process of the vehicle external temperature data, more environment information is fused into the correction process, and the measurement error of the vehicle external temperature caused by the heat radiation of the vehicle cabin is corrected, so that the finally obtained target vehicle external temperature data is closer to the actual temperature of the surrounding environment, and the accuracy of the vehicle external temperature data is improved. In practical application, the finally obtained vehicle external temperature data can be input into a vehicle-mounted air conditioner control system, so that the air conditioner air outlet temperature is prevented from obviously fluctuating, and the comfort of a vehicle-mounted air conditioner is optimized.

The steps in the embodiments of the present application may be performed by an in-vehicle electronic device, which may be fixedly mounted in a vehicle. Besides the vehicle-mounted terminal, in this embodiment, the mobile terminal such as a smart phone or a tablet computer may cooperate with the vehicle-mounted electronic device to perform the above steps, for example, the smart phone is accessed to a network where the vehicle-mounted electronic device is located, and the steps are cooperatively implemented, which is not limited in this embodiment of the application.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Fig. 1 is a schematic flowchart of a method for determining an external temperature of a vehicle according to an exemplary embodiment of the present application, where as shown in fig. 1, the method includes:

101. acquiring vehicle external temperature data through a temperature sensor of a vehicle;

102. acquiring environmental data of a vehicle;

103. determining the scene of the vehicle according to the environment data;

104. and correcting the vehicle external temperature data based on the scene where the vehicle is located and/or the reference temperature data to obtain the target vehicle external temperature data.

In this embodiment, the vehicle external temperature data may be collected by one or more temperature sensors disposed in the vehicle. For example, the temperature sensor may continue to be placed at the vehicle's forward air grille to ensure good air convection conditions and avoid interference from direct sunlight.

It is understood that the measured value of the temperature sensor may be deviated due to sudden local temperature change of the vehicle in the case of splashing water and mud, or partial entering of the vehicle into the tree shadow. Optionally, in this application, a plurality of temperature sensors can be deployed in different positions of the vehicle, and measurement deviation caused by sudden change of local temperature of the vehicle is avoided. For example, in some embodiments, 1 temperature sensor may be respectively arranged at different height positions of the front air grid of the vehicle body, so as to avoid local temperature reduction caused by water or mud entering the front air grid. For another example, 1 temperature sensor, that is, 4 temperature sensors may be provided in total, in each of the front, rear, left, and right sides of the vehicle body, so as to avoid a local temperature drop caused by a vehicle entering a shade locally. Other possible arrangements are not listed in this application.

In practical application, the external temperature data of the vehicle may be raw data acquired by a temperature sensor, or may be data obtained by the raw data through a power-on/power-off state correction algorithm or other algorithms, which is not limited in this embodiment.

In order to further modify the vehicle external temperature data, 102, environmental data of the vehicle is obtained to reflect environmental information in an environment where the vehicle is located. Therefore, in 103, the scene where the vehicle is located is determined according to the environment data, that is, scene recognition is performed through the environment information reflected in the environment data, so that a basis is provided for a subsequent determination process of the external temperature of the vehicle with pertinence.

In this embodiment, the environmental data includes, but is not limited to: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data.

Wherein the position of the vehicle is determined by the map navigation data. The map navigation data may be provided by the vehicle-mounted navigation device, or may be provided by an intelligent terminal connected to the vehicle-mounted device, which is not limited in this embodiment. Specifically, the map navigation data can be issued to the vehicle navigation device by the cloud in real time.

In some embodiments, optionally, the vehicle is located in a map based on map navigation data, and a landmark matched to the located position is identified. For example, if the landmark matched with the calibration position is a tunnel, it indicates that the vehicle is in the tunnel. For example, if the landmark matched with the calibration position is a certain building, it indicates that the vehicle is in the building. In particular, the vehicle may be in a garage of a building.

In addition, in other embodiments, the position of the vehicle can be further determined according to other driving states. For example, a landmark matched with a vehicle calibration position in the map is a road intersection, and if it is detected that the vehicle staying time exceeds a set staying threshold (for example, 5 seconds), it is indicated that the vehicle stays at the intersection.

The sunlight data is mainly used for reflecting the sunlight intensity change of the environment where the vehicle is located. For example, when a vehicle enters a tunnel or a building, the sunlight intensity is sharply reduced to 0 in a short time. For example, when a vehicle enters a tree shadow, a building shadow, or a temporary building, the intensity of sunlight is also drastically reduced in a short time, but the intensity of sunlight is not reduced to 0. In practical application, the sunlight data is acquired by the sunlight collecting device, and the sunlight collecting device can be fixedly installed on a vehicle.

Wherein the environment image data is used to reflect scene information in the environment around the vehicle. In short, the scene in the surroundings of the vehicle can be identified from the environment image data. In practical applications, the source of the environment image data is not limited, and for example, the environment image data may be image data acquired by an image sensor disposed on a vehicle, image data acquired by an image sensor disposed on a surrounding vehicle and transmitted to the vehicle, or a satellite image acquired from navigation map data.

Wherein the reference temperature data is provided by a meteorological base station and/or surrounding vehicles. The reference temperature data provided by the meteorological base station can reflect the actual temperature of the surrounding environment of the meteorological base station more accurately because the meteorological base station has high-performance measuring equipment. The reference temperature data provided by the surrounding vehicles can reflect respective vehicle outside temperature measurements of other vehicles in the surrounding environment. In general, the ambient temperature does not change sharply, and therefore, the reference temperature of the ambient environment can be further reflected by the average value of the vehicle outside temperature data of the other vehicles in the ambient environment.

After the environmental data is obtained, in an optional embodiment, 103, it may be determined whether the vehicle is in a preset scene according to the environmental data. Wherein, the preset scenes include but are not limited to: any one or combination of a tunnel scene, an indoor scene, a ground shaded scene, a ground direct scene.

Specifically, in the above steps, an optional process of determining whether the vehicle is in the preset scene according to the environmental data may be implemented as:

judging whether the vehicle is in the building or not based on the position of the vehicle and the sunlight data; if the position of the vehicle is matched with a building in the map and the sunlight data is in a preset first change trend, judging that the vehicle is in the building; and determining that the scene where the vehicle is located is a tunnel scene or an indoor scene based on the type of the building where the vehicle is located.

For example, assume that the preset scenes include a tunnel scene, an indoor scene, and a ground shading scene. It is assumed that the sunlight data includes sunlight intensity variation data. The preset first variation trend is assumed to be a sharp variation trend (for example, the variation rate of the sunlight intensity in unit time is greater than a set threshold).

Based on the above assumptions, first, the position where the vehicle is located is acquired from the map, and the sunlight intensity change data is acquired from the sunlight sensor to determine whether the vehicle is in the building. Specifically, if the vehicle is located at a position that coincides with the calibrated position of the building in the map, or the vehicle is located at a position that is within the calibrated range of the building in the map, it is indicated that the vehicle is located at a position that matches the building in the map. And then, judging whether the sunlight intensity variation trend is a first variation trend according to the sunlight intensity variation trend in a preset time period earlier than the current time.

Furthermore, if the position of the vehicle is matched with the building in the map, and the sunlight intensity variation trend is the first variation trend, the vehicle can be determined to be in the building in this case. Therefore, the scene where the vehicle is located can be determined to be a tunnel scene or an indoor scene based on the type of the building where the vehicle is located. For example, in an alternative embodiment, assuming that the type of the building in which the vehicle is located is detected as a tunnel, in this case, it may be determined that the scene in which the vehicle is located is a tunnel scene. For example, in another alternative embodiment, assuming that the type of the building where the vehicle is located is detected as a mall, the scene where the vehicle is located may be determined to be an indoor scene. More specifically, the scene where the vehicle is located can be further determined to be a market garage scene.

In addition, optionally, taking a tunnel scene as an example, whether the vehicle enters the tunnel scene or exits the tunnel scene may be further determined according to the sunlight intensity variation trend. For example, a steep trend includes a steep decline (e.g., decline to 0 in 3 seconds), or a steep rise (e.g., rise from 0 to seasonal natural light intensity in 3 seconds). Based on this, if the change trend of the sunlight intensity is sharply reduced, the vehicle is in a tunnel entering scene. If the change trend of the sunlight intensity is a sharp rise, the vehicle is in a tunnel exit scene.

It is understood that the indoor scene is determined in a manner similar to the tunnel scene described above, and is not expanded here.

Further, after it is determined that the vehicle is not in the building, scene recognition is performed based on the sunlight data and/or the environmental image data around the vehicle to determine whether the vehicle is in a ground shading scene or a ground direct scene.

Among these, ground shading scenarios include, but are not limited to: a tree shadow scene or a temporary building scene. For example, in an alternative embodiment, the sunlight intensity at a plurality of historical times is compared, and if the sunlight intensity gradually decreases, it can be determined that the vehicle enters a ground shading scene. And if the sunlight intensity gradually becomes stronger, judging that the vehicle leaves the ground shading scene. For example, the sunlight intensity corresponding to 5 historical times, namely, the previous 1 second, the previous 3 seconds, the previous 6 seconds, the previous 9 seconds and the previous 12 seconds, before the current time is obtained, and whether the vehicle enters a ground shading scene or leaves the ground shading scene is judged according to the sunlight intensity variation trend corresponding to the 5 historical times.

In practical application, the determination criterion for the sunlight intensity reduction can be set according to an actual ground shading scene, for example, the determination criteria for entering the tree shade in the south area and the north area are inconsistent, and the trees in the south area are luxurious, so that the sunlight intensity change degree before and after the vehicle enters the tree shade in the south area is greater than that before and after the vehicle enters the tree shade in the north area. Other criteria are not listed here.

In another optional embodiment, the scene recognition is further performed by combining the sunlight data and the environment image data around the vehicle. That is, on the basis of the above embodiment, the vehicle surrounding environment is further identified based on the environment image data around the vehicle to determine whether the vehicle enters a ground shading scene. Specifically, assuming that the ground shading scene is a tree shading scene or a temporary building scene, based on this, if a surrounding tree shading or temporary building is identified and the sunlight intensity gradually weakens, it can be determined that the vehicle enters the tree shading or temporary building. And if the surrounding is identified to be shaded or the temporary building and the sunlight intensity gradually becomes stronger, judging that the vehicle leaves the shade or the temporary building. Other possible ways of judging are not listed in this application.

It will be appreciated that the determination of the ground direct scene is similar to the determination of the ground shadow scene, and the similarities are not expanded. The main differences are: in a direct ground incidence scene, if the sunlight intensity corresponding to a plurality of historical moments is not lower than a set direct incidence intensity threshold value in a preset time period, the situation can be judged that the vehicle enters the direct ground incidence scene; if the sunlight intensity corresponding to a plurality of historical moments in a preset time period is gradually weakened, and the current sunlight intensity is lower than a set direct-incidence intensity threshold value, the situation can be judged that the vehicle leaves a direct-incidence scene. Optionally, on the basis of the above embodiment, scene recognition is further performed in combination with the environmental image data around the vehicle. That is, the environment around the vehicle is identified based on the environment image data around the vehicle to determine whether the vehicle enters a direct ground scene.

Through the embodiments, whether the vehicle belongs to any preset scene (such as a tunnel scene, an indoor scene, a ground shading scene and a ground direct projection scene) can be identified, so that the environment data is merged into the determination process of the external temperature data of the vehicle, and the accuracy of the external temperature data of the vehicle is improved. In practical applications, the determination sequence of the preset scene may be as shown in fig. 2, and whether the preset scene is in any one of a tunnel scene, an indoor scene, a ground shading scene, and a ground direct lighting scene is sequentially determined from beginning to end. It should be noted that the present application does not limit the type of the preset scenes nor the determination sequence of the preset scenes. The above embodiments are merely examples, and in practical applications, the division may be performed according to the actual running condition of the vehicle.

Finally, in 104, the vehicle external temperature data is modified based on the scene of the vehicle and/or the reference temperature data to obtain the target vehicle external temperature data. In some embodiments, the vehicle external temperature data may be modified to obtain the target vehicle external temperature data based directly on the scene in which the vehicle is located. In other embodiments, the vehicle external temperature data may also be modified based directly on the reference temperature data to obtain the target vehicle external temperature data. In still other embodiments, the vehicle external temperature data may be further modified based on the scene in which the vehicle is located and the reference temperature data to obtain the target vehicle external temperature data. See below for a specific correction procedure.

Therefore, the recognition result of the scene where the vehicle is located and the reference temperature data are merged into the correction process of the vehicle external temperature data through the step, temperature measurement errors caused by heat radiation of a vehicle cabin are avoided, the finally obtained vehicle external temperature data are closer to the actual temperature of the surrounding environment, and the accuracy of the vehicle external temperature data is improved.

The following describes, with reference to specific examples 104, a specific embodiment of obtaining the external temperature data of the target vehicle by correcting the external temperature data of the vehicle based on the scene where the vehicle is located and/or the reference temperature data:

the first implementation mode comprises the following steps: and correcting the external temperature data of the vehicle based on the scene of the vehicle.

Specifically, assume that the vehicle is in any of the preset scenarios described above. The preset scenes are assumed to include a tunnel scene, an indoor scene, a ground shading scene and a ground direct projection scene.

Based on the above assumptions, the process of obtaining the external temperature data of the target vehicle by correcting the external temperature data of the vehicle based on the scene where the vehicle is located in 104 may be implemented as:

acquiring the season of the vehicle; acquiring a correction strategy corresponding to a preset scene where a vehicle is located; and performing correction processing on the external temperature data of the vehicle based on the correction strategy and the season of the vehicle to obtain the external temperature data of the target vehicle.

In the above steps, first, in order to adapt to the environmental temperature variation conditions in different seasons, the season of the vehicle needs to be acquired. Specifically, in an optional embodiment, the season of the vehicle is determined based on the range of the external temperature data of the vehicle collected by the temperature sensor and the area where the vehicle is located. For example, if the area where the vehicle is located is north China, and the external temperature data of the vehicle collected by the temperature sensor is 30 degrees centigrade, in this case, according to the climate condition of the north China, it can be determined that the season where the vehicle is located is summer. Still taking the north China as an example, suppose that the external temperature data of the vehicle collected by the temperature sensor is minus 5 ℃, under this condition, the season of the vehicle can be judged to be winter according to the climate condition of the north China. In another optional embodiment, the season of the vehicle can be acquired from the cloud according to the vehicle-mounted device. Other acquisition methods are not listed.

In addition, before correcting the external temperature of the vehicle, a correction strategy corresponding to a preset scene where the vehicle is located needs to be acquired. Specifically, the correction strategy corresponding to the preset scene where the vehicle is located can be downloaded from the cloud, the correction strategy corresponding to the preset scene where the vehicle is located can also be called from a preset correction strategy library, and other obtaining modes can be adopted, which are not listed one by one.

Furthermore, after the correction strategy and the season of the vehicle are obtained, in 104, the external temperature data of the vehicle may be corrected based on the correction strategies corresponding to different preset scenes and the season of the vehicle, so as to obtain the external temperature data of the target vehicle. The specific correction strategies are divided into the following types:

the first correction strategy is as follows: a tunnel scenario.

And if the vehicle is in the tunnel scene, adjusting the temperature change rate based on a correction strategy corresponding to the tunnel scene, and adjusting the vehicle external temperature data into the target vehicle external temperature data within the set time according to the adjusted temperature change rate. Wherein the set time can be specified according to actual requirements. The implementation principle of the step is that the vehicle external temperature data is adjusted from the current value to the target vehicle external temperature data more quickly by adjusting the parameter of the temperature change rate, so that the finally obtained target vehicle external temperature data is closer to the temperature in the tunnel environment, and the temperature following requirement in the tunnel environment is met.

Because the temperature is comparatively invariable in the tunnel environment, consequently, need formulate different temperature according to different seasons and follow the tactics. In short, taking the tunnel entering scenario as an example, in the winter tunnel scenario, since the temperature in the winter tunnel is higher than the temperature outside the tunnel, the temperature outside the vehicle can be raised to the target vehicle outside temperature data more quickly after entering the tunnel by increasing the temperature raising rate in this step, so that the finally obtained target vehicle outside temperature data is closer to the actual temperature in the tunnel scenario. In the summer tunnel scene, the temperature drop rate is increased in the step, so that the external temperature of the vehicle can be quickly dropped to the external temperature data of the target vehicle after entering the tunnel, and the finally obtained external temperature data of the target vehicle is closer to the actual temperature in the tunnel scene. For example, in the winter tunnel scenario, continuing with the example of entering the tunnel scenario, the temperature rise rate is adjusted to three times the initial value, and the minimum value of the temperature rise rate is not lower than 0.4 ℃/sec.

Specifically, in an alternative embodiment, the vehicle is assumed to be in the winter season. If it is detected that the vehicle enters or is in the tunnel, since the temperature in the tunnel is higher than the temperature outside the tunnel in winter, it is necessary to rapidly increase the temperature increase rate in this case. For example, the rise is from allowing the vehicle outside temperature to rise by 1 degree celsius every 20 seconds to allowing the vehicle outside temperature to rise by 1 degree celsius every 5 seconds. Conversely, if it is detected that the vehicle leaves the tunnel, the temperature decrease rate needs to be rapidly increased in this case.

In another embodiment, the vehicle is assumed to be in the summer season. If it is detected that the vehicle enters the tunnel or is in the tunnel, the temperature in the tunnel is lower than the temperature outside the tunnel in summer, so that the temperature drop rate needs to be rapidly increased in the case. For example, from allowing the vehicle outside temperature to drop by 1 degree celsius every 20 seconds, the rise is allowed to drop by 1 degree celsius every 5 seconds. Conversely, if it is detected that the vehicle leaves the tunnel, the temperature rise rate needs to be rapidly increased in this case.

Therefore, through the steps introduced by the embodiment, the external temperature of the vehicle can be accurately changed along with the ambient temperature before and after entering and exiting the tunnel after being corrected, and the accuracy of the external temperature data of the vehicle collected in the scene of entering and exiting the tunnel in different seasons is improved.

And (5) correcting a strategy II: an indoor scene.

If the vehicle is in the indoor scene, reducing the variation range of the external temperature of the vehicle and adjusting the temperature variation rate based on a correction strategy corresponding to the indoor scene; and adjusting the vehicle external temperature data to the target vehicle external temperature data within a set time according to the adjusted temperature change rate. Wherein the target vehicle exterior temperature data is in the vehicle exterior temperature variation range. The set time can be specified according to actual requirements.

Similar to the tunnel scenario, the implementation principle of this step is that the vehicle external temperature data is adjusted from the current value to the target vehicle external temperature data more quickly by adjusting the parameter of the temperature change rate, so that the finally obtained target vehicle external temperature data is closer to the temperature in the indoor environment, and the temperature following requirement in the indoor scenario is met. For example, in the winter indoor scene, taking the entering indoor scene as an example, the temperature rise rate is adjusted to be twice of the initial value, and the minimum value of the temperature rise rate is not lower than 0.1 ℃/second.

In practical applications, indoor scenarios include, but are not limited to: a garage scene, a warehouse scene, and a production park scene. Take the garage scene as an example, because the air current general character is relatively poor in the garage environment, therefore the temperature is comparatively invariable in the garage, and the temperature variation range is less (for example temperature variation upper limit is 45 degrees in the garage), consequently, need reduce the outside temperature variation range of vehicle to according to different temperature follow strategies of different seasons formulation.

In addition, since the temperature variation range of the indoor scene is small, the vehicle outside temperature variation range can be further limited. Specifically, reducing the vehicle outside temperature variation range may be realized as: the upper limit of the variation in the vehicle outside temperature is lowered, for example, from 65 degrees celsius to 45 degrees celsius, while the lower limit of the variation in the vehicle outside temperature is raised, for example, from-20 degrees celsius to 0 degrees celsius.

It should be noted that different temperature following strategies are formulated according to different seasons in an indoor scene, which is similar to the different temperature following strategies formulated according to different seasons in a tunnel scene, and are not repeated here.

Therefore, through the steps introduced by the embodiment, the external temperature of the vehicle can be accurately changed along with the ambient temperature of the indoor scene after being corrected, and the accuracy of the external temperature data of the vehicle collected in the indoor scene in and out in different seasons is improved.

And (3) correcting strategy three: a ground-shaded scene.

If the vehicle is in a ground shading scene and the season of the vehicle is summer, compensating the external temperature data of the vehicle based on a correction strategy corresponding to the ground shading scene and the solar attenuation coefficient to obtain compensated external temperature data of the vehicle and improve the temperature reduction rate; and reducing the compensated vehicle external temperature data to the target vehicle external temperature data within a set time according to the increased temperature reduction rate.

Among these, ground shading scenarios include, but are not limited to: tree shadow scenes, building shadow scenes and temporary building scenes. Taking a tree shadow scene in summer as an example, after entering the tree shadow scene, the ambient temperature of the vehicle is rapidly reduced, for example, the temperature under the tree shadow is 25 ℃, and the temperature outside the tree shadow is 32 ℃. Then, in order to adapt to the sharp drop of the ambient temperature of the vehicle, the vehicle external temperature data needs to be compensated to obtain the compensated vehicle external temperature data.

Specifically, a difference in the solar light attenuation coefficient before and after entering the shade is determined, and a temperature compensation value to be subtracted on the basis of the current vehicle outside temperature data is determined based on the difference. For example, the difference is 100 to 300W/square meter, 1 ℃ (i.e., temperature compensation value) needs to be subtracted from the vehicle external temperature data, the difference is 300 to 500W/square meter, 2 ℃ needs to be subtracted from the vehicle external temperature data, the difference is 500 to 800W/square meter, 3 ℃ needs to be subtracted from the vehicle external temperature data, the difference is greater than 800W/square meter, and 4 ℃ needs to be subtracted from the vehicle external temperature data. The above parameters are only examples, and can be calibrated according to actual application conditions.

On the basis of the compensated vehicle external temperature data, an adjusting mode similar to the adjusting mode for increasing the temperature decreasing rate described in the above embodiment can be adopted, so that after the vehicle enters the ground shading scene, the vehicle external temperature data can be decreased to the target vehicle external temperature data more quickly according to the increased temperature decreasing rate, and thus the finally obtained target vehicle external temperature data is closer to the actual temperature in the ground shading scene, and the temperature following requirement in the ground shading scene is realized.

Therefore, through the steps introduced in the embodiment, the external temperature of the vehicle can be ensured to be corrected and then accurately change along with the ambient temperature of the ground shading scene, and the accuracy of the external temperature data of the vehicle collected in the ground shading scene is improved.

And (4) correcting the strategy IV: and (5) directly projecting the ground to the scene.

If the vehicle is in a direct ground incidence scene and the season of the vehicle is summer, compensating the external temperature data of the vehicle based on a correction strategy corresponding to the direct ground incidence scene and the solar attenuation coefficient to obtain compensated external temperature data of the vehicle and improve the temperature rising rate; and increasing the compensated vehicle external temperature data to the target vehicle external temperature data within a set time according to the increased temperature increase rate.

Taking a direct ground projection scene in summer as an example, after entering the direct ground projection scene, the ambient temperature of the vehicle is rapidly increased. Then, in order to adapt to the sharp rise of the ambient temperature of the vehicle, the vehicle external temperature data needs to be compensated to obtain the compensated vehicle external temperature data.

Specifically, a difference in solar attenuation coefficient before and after entering the ground direct lighting scene is determined, and a temperature compensation value that needs to be added based on current vehicle external temperature data is determined based on the difference. For example, the difference is 100 to 300W/square meter, 1 ℃ (i.e., temperature compensation value) needs to be added on the basis of vehicle external temperature data, the difference is 300 to 500W/square meter, 2 ℃ needs to be added on the basis of vehicle external temperature data, the difference is 500 to 800W/square meter, 3 ℃ needs to be added on the basis of vehicle external temperature data, the difference is greater than 800W/square meter, and 4 ℃ needs to be added on the basis of vehicle external temperature data. The above parameters are only examples, and can be calibrated according to actual application conditions.

On the basis of the compensated vehicle external temperature data, an adjusting mode similar to the adjusting mode for increasing the temperature rising rate described in the embodiment can be adopted, so that after the vehicle enters the ground direct incidence scene, the vehicle external temperature data can be increased to the target vehicle external temperature data more quickly according to the increased temperature rising rate, the finally obtained target vehicle external temperature data is closer to the actual temperature in the ground direct incidence scene, and the temperature following requirement in the ground direct incidence scene is realized.

Therefore, through the steps introduced in the embodiment, the external temperature of the vehicle can be ensured to be corrected and then accurately change along with the ambient temperature of the ground direct projection scene, and the accuracy of the external temperature data of the vehicle collected in the ground direct projection scene is improved.

It should be noted that the four preset scenes are only examples, and in practical application, more scenes may be divided according to actual requirements, which is not limited in the present application.

The second embodiment: the vehicle external temperature data is corrected based on the reference temperature data.

After describing an example of modifying the vehicle external temperature data based on the scene where the vehicle is located, an alternative embodiment of modifying the vehicle external temperature data based on the reference temperature data to obtain the target vehicle external temperature data in 104 is described below, specifically: and carrying out fault-tolerant processing on the vehicle external temperature data based on the reference temperature data to obtain target vehicle external temperature data.

Specifically, in the above steps, a difference between the vehicle external temperature data and the reference temperature data is obtained; if the difference is larger than the set threshold, determining the reference temperature data as the external temperature data of the target vehicle; and if the difference is not greater than the set threshold, determining the vehicle external temperature data as the target vehicle external temperature data.

Optionally, the process of obtaining the difference between the vehicle external temperature data and the reference temperature data includes: determining that the distance between the vehicle and the meteorological base station is less than a first distance threshold; determining that the difference between the vehicle exterior temperature data and the first reference temperature data provided by the meteorological base station is the difference between the vehicle exterior temperature data and the reference temperature data.

For example, in the above steps, it is assumed that the reference temperature data is provided by the meteorological base station and the surrounding vehicles. Assume that the reference temperature data provided by the meteorological base station is denoted as first reference temperature data.

Based on the above assumptions, first, it is determined whether the distance of the vehicle from the weather base station is greater than a first distance threshold. Assume that the first distance threshold is set to 1 km. If the distance between the vehicle and the meteorological base station is determined to be smaller than the first distance threshold value, calculating the difference value between the vehicle external temperature data and first reference temperature data provided by the meteorological base station to serve as the difference value between the vehicle external temperature data and the reference temperature data. And if the difference value between the vehicle external temperature data and the reference temperature data is larger than a set threshold (such as 5 degrees centigrade), determining the first reference temperature data as the target vehicle external temperature data. And if the difference value between the vehicle external temperature data and the reference temperature data is not greater than the set threshold value, determining the vehicle external temperature data as the target vehicle external temperature data.

In addition to the fault-tolerant processing based on the meteorological base station, in order to improve the accuracy of the external temperature data of the target vehicle, the fault-tolerant processing can be performed by combining the reference temperature data provided by the surrounding vehicles. That is, the Vehicle outside temperature data is subjected to fault-tolerant processing by means of Vehicle-to-Vehicle communication (V2V).

Optionally, the process of obtaining the difference between the vehicle external temperature data and the reference temperature data includes: determining that the number of surrounding vehicles in the second distance threshold range is larger than a set number threshold; determining an average value of a plurality of vehicle external temperature data provided by surrounding vehicles as second reference temperature data; determining that the difference between the vehicle exterior temperature data and the second reference temperature data is the difference between the vehicle exterior temperature data and the reference temperature data.

For example, in the above steps, specifically, other vehicles whose distance is within a second distance threshold (e.g., 5 to 10 meters) are taken as the surrounding vehicles of the current vehicle, and it is determined whether the number of the surrounding vehicles of the current vehicle reaches a preset number. Assuming that the preset number is 2, if the number of the vehicles around the current vehicle reaches 2 or more, determining the average value of the plurality of vehicle external temperature data provided by the surrounding vehicles as second reference temperature data, and calculating the difference value between the vehicle external temperature data and the second reference temperature data. Optionally, in order to improve the calculation efficiency, if the number of surrounding vehicles is large, the vehicle external temperature data provided by some of the vehicles may be selected to calculate the second reference temperature data.

And further, if the difference value between the vehicle external temperature data and the second reference temperature data is larger than a set threshold (for example, 5 ℃), determining the second reference temperature data as the target vehicle external temperature data. And if the difference value between the vehicle external temperature data and the second reference temperature data is not greater than the set threshold value, determining the vehicle external temperature data as the target vehicle external temperature data.

Indeed, in some embodiments, the vehicle external temperature data may also be fault tolerant processed based on reference temperature data provided by the meteorological base station and surrounding vehicles to derive the target vehicle external temperature data. The specific fault-tolerant processing is similar to the fault-tolerant processing described in the foregoing embodiments, and is not expanded here.

Therefore, through the steps introduced in the embodiment, fault-tolerant processing can be performed on the external temperature data of the vehicle, the influence of abnormal data acquired by the temperature sensor on the accuracy of the external temperature data of the subsequent target vehicle is avoided, abnormal fluctuation of an air conditioner control system is reduced, and the comfort of the vehicle-mounted air conditioner is optimized.

The third embodiment is as follows: and correcting the external temperature data of the vehicle based on the scene of the vehicle and the reference temperature data.

It is assumed that the vehicle is in any of the preset scenarios described above. The preset scenes are assumed to include a tunnel scene, an indoor scene, a ground shading scene and a ground direct projection scene. In this case, in 104, the vehicle external temperature data may be corrected based on the scene where the vehicle is located and the reference temperature data to obtain an optional embodiment of the target vehicle external temperature data, specifically:

acquiring the season of the vehicle; acquiring a correction strategy corresponding to a preset scene where a vehicle is located; based on the correction strategy and the season of the vehicle, correcting the external temperature data of the vehicle to obtain temperature correction data; and carrying out fault-tolerant processing on the temperature correction data based on the reference temperature data to obtain external temperature data of the target vehicle.

In the above steps, the embodiment of performing the correction processing on the vehicle external temperature data based on the correction strategy and the season in which the vehicle is located is similar to the embodiment of correcting the vehicle external temperature data based on the scene in which the vehicle is located in the foregoing embodiment. The embodiment of fault-tolerant processing of temperature correction data based on reference temperature data is similar to the embodiment of correcting vehicle external temperature data based on reference temperature data in the above embodiment. And is not expanded here. It should be noted here that, during the fault-tolerant processing, the temperature correction data input to the fault-tolerant processing corresponds to the vehicle external temperature data in the foregoing embodiment.

Through the steps, the temperature correction data can be obtained by correcting the external temperature data of the vehicle through the scene where the vehicle is located, fault-tolerant processing can be performed on the external temperature data of the vehicle, the influence of abnormal data acquired by the temperature sensor on the accuracy of the external temperature data of a follow-up target vehicle is avoided, abnormal fluctuation of an air conditioner control system is reduced, and the comfort of a vehicle-mounted air conditioner is optimized.

In the embodiment of the application, through the correction process of fusing the recognition result of the scene where the vehicle is located and the reference temperature data into the external temperature data of the vehicle, not only the correction process can be adapted to different scenes, the flexibility of the determination process of the external temperature of the vehicle is improved, still more environmental information is fused into the correction process, the measurement error of the external temperature of the vehicle caused by the thermal radiation of a vehicle cabin is corrected, the finally obtained external temperature data of the target vehicle is closer to the actual temperature of the surrounding environment, the accuracy of the external temperature data of the vehicle is improved, the air-out temperature of an air conditioner is prevented from being obviously fluctuated, and the comfort of the vehicle-mounted air conditioner is optimized.

In practical applications, all the execution subjects of the steps of the method provided in the above embodiments may be the same device, or different devices may also be used as the execution subjects of the method. In an optional embodiment, as shown in fig. 3, in the system architecture, step 101 may be executed by an external temperature sensor and a Zone Control Unit (ZCU) mounted on a vehicle, steps 102 and 103 are executed by an interconnection Control Unit (CCU) mounted on the vehicle to complete identification of a scene where the vehicle is located, and a Telematics Box (T-Box) executes a portion of step 102 to obtain reference temperature data, so as to assist the CCU to execute step 104 to complete fusion of the above-mentioned environmental data and scene identification result, and correct to obtain external temperature data of the target vehicle.

In addition, in some of the flows described in the above embodiments and the drawings, a plurality of operations are included in a specific order, but it should be clearly understood that the operations may be executed out of the order presented herein or in parallel, and the sequence numbers of the operations, such as 101, 102, etc., are merely used for distinguishing different operations, and the sequence numbers do not represent any execution order per se. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel.

It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.

The embodiment of the application also provides a device for determining the external temperature of the vehicle. For example, the processing device may be implemented as a virtual device, such as an application program, in the CCU. As shown in fig. 4, the apparatus for determining the vehicle outside temperature includes:

the temperature acquisition module 401 is used for acquiring temperature data outside the vehicle through a temperature sensor of the vehicle;

an environmental data acquisition module 402 for acquiring environmental data of a vehicle; the environmental data includes: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data;

a scene identification module 403, configured to determine a scene where the vehicle is located according to the environment data;

a correcting module 404, configured to correct the vehicle external temperature data based on a scene where the vehicle is located and/or the reference temperature data, so as to obtain target vehicle external temperature data.

Further optionally, the scene recognition module 403 is configured to: judging whether the vehicle is in a preset scene or not according to the environment data; the preset scene at least comprises: any one or combination of a tunnel scene, an indoor scene, a ground shaded scene, a ground direct scene.

Further optionally, when the scene recognition module 403 determines whether the vehicle is in a preset scene according to the environment data, specifically, the scene recognition module is configured to:

Further optionally, the scene recognition module 403 is further configured to: and if the vehicle is not in the building, performing scene recognition based on the sunlight data and/or the environmental image data around the vehicle to judge whether the vehicle is in a ground shading scene or a ground direct projection scene.

Optionally, the ground shading scene at least includes a tree shading scene, a temporary building scene, and a building shading scene.

Further optionally, the modification module 404 modifies the vehicle external temperature data based on a scene where the vehicle is located to obtain target vehicle external temperature data for:

acquiring the season of the vehicle; acquiring a correction strategy corresponding to a preset scene where a vehicle is located; and correcting the external temperature data of the vehicle based on the correction strategy and the season of the vehicle to obtain temperature correction data.

Further optionally, when the correction module 404 performs the correction processing on the vehicle external temperature data based on the correction strategy and the season of the vehicle, it is specifically configured to implement any one of the following processes:

if the vehicle is in the tunnel scene, adjusting the temperature change rate based on a correction strategy corresponding to the tunnel scene, and adjusting the vehicle external temperature data to the target vehicle external temperature data within a set time according to the adjusted temperature change rate; and/or

If the vehicle is in an indoor scene, reducing the variation range of the external temperature of the vehicle and adjusting the temperature variation rate based on a correction strategy corresponding to the indoor scene; adjusting the vehicle external temperature data to the target vehicle external temperature data within a set time according to the adjusted temperature change rate, wherein the target vehicle external temperature data is within the vehicle external temperature change range; and/or

If the vehicle is in a ground shading scene and the season of the vehicle is summer, compensating the external temperature data of the vehicle based on a correction strategy corresponding to the ground shading scene and a solar attenuation coefficient to obtain compensated external temperature data of the vehicle and improve the temperature reduction rate; decreasing the compensated vehicle external temperature data to the target vehicle external temperature data within a set time according to the increased temperature decrease rate; and/or

If the vehicle is in a direct ground incidence scene and the season of the vehicle is summer, compensating the external vehicle temperature data based on a correction strategy corresponding to the direct ground incidence scene and a solar attenuation coefficient to obtain compensated external vehicle temperature data and improve the temperature rise rate; and increasing the compensated vehicle external temperature data to the target vehicle external temperature data within a set time according to the increased temperature increase rate.

Further optionally, when the correction module 404 adjusts the temperature change rate, it is specifically configured to:

if the season of the vehicle is winter, the temperature rising rate is increased;

and if the season of the vehicle is summer, increasing the temperature reduction rate.

Further optionally, the correcting module 404 is configured to, when correcting the vehicle external temperature data based on the reference temperature data to obtain target vehicle external temperature data, specifically:

and carrying out fault tolerance processing on the vehicle external temperature data based on the reference temperature data to obtain the target vehicle external temperature data.

Further optionally, the correction module 404 is configured to, based on the reference temperature data, perform fault tolerance processing on the temperature correction data to obtain the external temperature data of the target vehicle, specifically:

obtaining a difference between the vehicle external temperature data and the reference temperature data; if the difference is larger than a set threshold, determining the reference temperature data as the external temperature data of the target vehicle; and if the difference is not larger than the set threshold, determining that the vehicle external temperature data is the target vehicle external temperature data.

Optionally, when the correction module 404 obtains the difference between the temperature correction data and the reference temperature data, it is specifically configured to:

determining that the vehicle is less than a first distance threshold from a meteorological base station; determining that the difference between the vehicle exterior temperature data and first reference temperature data provided by a meteorological base station is the difference between the vehicle exterior temperature data and the reference temperature data.

determining that the number of surrounding vehicles in the second distance threshold range is larger than a set number threshold; determining an average value of a plurality of vehicle external temperature data provided by surrounding vehicles as second reference temperature data; determining that the difference between the vehicle exterior temperature data and the second reference temperature data is the difference between the vehicle exterior temperature data and the reference temperature data.

Further optionally, the correcting module 404 corrects the vehicle external temperature data based on the scene where the vehicle is located and the reference temperature data to obtain target vehicle external temperature data, and is configured to:

acquiring the season of the vehicle; acquiring a correction strategy corresponding to a preset scene where a vehicle is located; based on the correction strategy and the season of the vehicle, correcting the external temperature data of the vehicle to obtain temperature correction data; and carrying out fault tolerance processing on the temperature correction data based on the reference temperature data to obtain the external temperature data of the target vehicle.

In the embodiment, the recognition result of the scene where the vehicle is located and the reference temperature data are fused into the correction process of the external temperature data of the vehicle, more environment information is fused into the correction process, and the measurement error of the external temperature of the vehicle caused by the thermal radiation of the engine room of the vehicle is corrected, so that the finally obtained external temperature data of the target vehicle is closer to the actual temperature of the surrounding environment, the accuracy of the external temperature data of the vehicle is improved, the air outlet temperature of the air conditioner is prevented from obviously fluctuating, and the comfort of the vehicle-mounted air conditioner is optimized.

Fig. 5 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application, and as shown in fig. 5, the electronic device includes: a memory 501 and a processor 502.

The memory 501 is used for storing computer programs and may be configured to store other various data to support operations on the electronic device. Examples of such data include instructions for any application or method operating on the electronic device, contact data, phonebook data, messages, pictures, videos, and so forth.

The memory 501 may be implemented by any type or combination of volatile or non-volatile memory devices, 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 memory, flash memory, magnetic or optical disks.

The processor 502, which may be implemented as a CCU in an electronic device. The processor 502 is coupled to the memory 501 for executing computer programs in the memory 501 for: acquiring vehicle external temperature data through a temperature sensor of a vehicle; acquiring environmental data of a vehicle; the environmental data includes: any one or combination of a location of the vehicle, solar data, ambient image data, and reference temperature data provided by a meteorological base station and/or surrounding vehicles; determining the scene of the vehicle according to the environment data; and correcting the vehicle external temperature data based on the scene of the vehicle and/or the reference temperature data to obtain target vehicle external temperature data.

The memory of FIG. 5 described above may be implemented by any type or combination of volatile or non-volatile memory devices, 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 memory, flash memory, magnetic or optical disk.

Further, as shown in fig. 5, the electronic device further includes: communication component 503, display component 504, power component 505, and the like. Only some of the components are schematically shown in fig. 5, and it is not meant that the electronic device comprises only the components shown in fig. 5.

The communication component 503 of fig. 5 described above is configured to facilitate communication between the device in which the communication component is located and other devices in a wired or wireless manner. The device in which the communication component is located may access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G, or 5G, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component may be implemented based on Near Field Communication (NFC) technology, Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

The display assembly 504 in fig. 5 described above includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

The power supply unit 505 provides power to various components of the device in which the power supply unit is located. The power components may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device in which the power component is located.

Accordingly, the present application further provides a computer-readable storage medium storing a computer program, where the computer program is capable of implementing the steps that can be executed by the electronic device in the foregoing method embodiments when executed.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method of determining a vehicle exterior temperature, comprising:

obtaining environmental data of a vehicle, the environmental data comprising: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data;

determining the scene of the vehicle according to the environment data;

and correcting the vehicle external temperature data based on the scene of the vehicle and/or the reference temperature data to obtain target vehicle external temperature data.

2. The method of claim 1, wherein determining the scene in which the vehicle is located based on the environmental data comprises:

judging whether the vehicle is in a preset scene or not according to the environment data; the preset scene comprises the following steps: any one of a tunnel scene, an indoor scene, a ground shading scene, and a ground direct lighting scene.

3. The method of claim 2, wherein determining whether the vehicle is in a preset scene according to the environmental data comprises:

judging whether the vehicle is in the building or not based on the position of the vehicle and the sunlight data;

if the position of the vehicle is matched with a building in the map and the sunlight data is in a preset first change trend, judging that the vehicle is in the building;

and determining that the scene where the vehicle is located is a tunnel scene or an indoor scene based on the type of the building where the vehicle is located.

4. The method of claim 3, further comprising:

and if the vehicle is not in the building, performing scene recognition based on the sunlight data and/or the environmental image data around the vehicle to judge whether the vehicle is in a ground shading scene or a ground direct projection scene.

5. The method of claim 1, wherein modifying the vehicle exterior temperature data based on the scene of the vehicle to obtain the target vehicle exterior temperature data comprises:

acquiring the season of the vehicle;

acquiring a correction strategy corresponding to a preset scene where a vehicle is located;

and performing correction processing on the vehicle external temperature data based on the correction strategy and the season of the vehicle to obtain the target vehicle external temperature data.

6. The method of claim 5, wherein the modifying the vehicle external temperature data based on the modification strategy and a season of the vehicle to obtain the target vehicle external temperature data comprises:

7. The method of claim 6, wherein the adjusting the rate of temperature change if the vehicle is in a tunnel or indoor setting comprises:

8. The method of claim 1, wherein the modifying the vehicle exterior temperature data based on the reference temperature data to obtain target vehicle exterior temperature data comprises:

9. The method of claim 8, wherein fault tolerant processing of the vehicle exterior temperature data based on the reference temperature data to obtain the target vehicle exterior temperature data comprises:

obtaining a difference between the vehicle external temperature data and the reference temperature data;

if the difference is larger than a set threshold, determining the reference temperature data as the external temperature data of the target vehicle;

and if the difference is not larger than the set threshold, determining that the vehicle external temperature data is the target vehicle external temperature data.

10. The method of claim 9, wherein said obtaining a difference between the vehicle exterior temperature data and the reference temperature data comprises:

determining that the vehicle is less than a first distance threshold from a meteorological base station;

determining that the difference between the vehicle exterior temperature data and first reference temperature data provided by a meteorological base station is the difference between the vehicle exterior temperature data and the reference temperature data.

11. The method of claim 9, wherein said obtaining a difference between the vehicle exterior temperature data and the reference temperature data comprises:

determining that the number of surrounding vehicles in the second distance threshold range is larger than a set number threshold;

determining an average value of a plurality of vehicle external temperature data provided by surrounding vehicles as second reference temperature data;

determining that the difference between the vehicle exterior temperature data and the second reference temperature data is the difference between the vehicle exterior temperature data and the reference temperature data.

12. The method of claim 1, wherein the modifying the vehicle exterior temperature data based on the scene of the vehicle and the reference temperature data to obtain target vehicle exterior temperature data comprises:

acquiring the season of the vehicle;

based on the correction strategy and the season of the vehicle, correcting the external temperature data of the vehicle to obtain temperature correction data;

and carrying out fault tolerance processing on the temperature correction data based on the reference temperature data to obtain the external temperature data of the target vehicle.

13. A vehicle exterior temperature determination apparatus, characterized by comprising:

an environmental data acquisition module for acquiring environmental data of a vehicle, the environmental data comprising: any one or combination of a location of the vehicle, the solar data, the environmental image data, and the reference temperature data;

and the correction module is used for correcting the vehicle external temperature data based on the scene where the vehicle is located and/or the reference temperature data so as to obtain the target vehicle external temperature data.

14. An electronic device, comprising: a memory, a processor, a communication component, and a display component;

the memory to store one or more computer instructions;

the processor configured to execute the one or more computer instructions to implement the steps in the method of any one of claims 1-12.

15. A computer-readable storage medium storing a computer program, wherein the computer program is capable of performing the steps of the method according to any one of claims 1-12 when executed.