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CN-121973592-A - Vehicle control method, vehicle and storage medium

CN121973592ACN 121973592 ACN121973592 ACN 121973592ACN-121973592-A

Abstract

The application provides a vehicle control method, a vehicle and a storage medium, wherein the method is applied to the technical field of intelligent cabins and comprises the steps of acquiring environmental data in a vehicle cabin, allergic sign information and sensitive object data of at least one passenger; and determining a target air quality parameter of the position of each passenger according to the allergic risk index of each passenger, generating a target control instruction of the air conditioning system according to the target air quality parameter of the position of each passenger, and controlling the air conditioning system according to the target control instruction. Therefore, the problems that the related technology lacks the real-time collaborative sensing capability of the sensitizers in the cabin and the physiological states of the passengers and the dynamic and closed-loop active protection based on the individual risks cannot be realized are solved through the environment-physiological collaborative sensing and the personalized risk assessment, and the effectiveness of allergy protection and the comfort level of the passengers are obviously improved.

Inventors

  • Cheng cang

Assignees

  • 长城汽车股份有限公司

Dates

Publication Date
20260505
Application Date
20260211

Claims (10)

  1. 1. A vehicle control method characterized by comprising the steps of: acquiring environmental data, allergic sign information and sensitive object data of at least one passenger in a vehicle cabin; Calculating an allergy risk index of each passenger according to the allergy sign information and the sensitive object data of the at least one passenger based on the environmental data; And determining a target air quality parameter of the position of each passenger according to the allergy risk index of each passenger, generating a target control instruction of an air conditioning system according to the target air quality parameter of the position of each passenger, and controlling the air conditioning system according to the target control instruction.
  2. 2. The method of claim 1, wherein the calculating an allergy risk index for each occupant based on the environmental data from allergy sign information and sensitivity data for the at least one occupant comprises: Calculating the cumulative exposure of each passenger according to the sensitive matter data of the at least one passenger; calculating the physiological reaction intensity of each passenger according to the allergic sign information of the at least one passenger; And correcting the accumulated exposure and the physiological response intensity of each passenger based on the environmental data to obtain an allergy risk index of each passenger.
  3. 3. The method of claim 2, wherein said calculating the cumulative exposure for each occupant from the sensitivity data of the at least one occupant comprises: acquiring identity information of each passenger and exposure time of each passenger in the vehicle cabin; determining allergen information of each passenger according to the identity information of each passenger; And calculating the accumulated exposure of each passenger according to the exposure time of each passenger in the vehicle cabin, the allergen information and the sensitive object data.
  4. 4. The method of claim 2, wherein calculating the physiological response intensity of each occupant from the allergy information of the at least one occupant comprises: Determining an actual physical sign feature vector of the at least one occupant based on the allergy feature information of the at least one occupant; And obtaining the physiological response intensity of each passenger based on the actual physical sign feature vector and the preset physiological sign baseline vector of each passenger.
  5. 5. The method of claim 2, wherein correcting the cumulative exposure and the physiological response intensity for each occupant based on the environmental data yields an allergy risk index for each occupant, comprising: determining an environmental modulation factor based on the environmental data; fusing the exposure dose of each passenger and the physiological reaction intensity of each passenger to obtain an initial allergy risk index of each passenger; And obtaining the allergy risk index of each passenger based on the initial allergy risk index of each passenger and the environment modulation coefficient.
  6. 6. The method of claim 1, wherein generating the target control command for the air conditioning system based on the target air quality parameter for each of the occupants comprises: Determining the air supply outlet adjusting range of the position of each passenger; Acquiring current air quality parameters of the positions of each passenger; and generating a target control instruction of the air conditioning system according to the current air quality parameter, the target air quality parameter and the air supply outlet adjusting range of the position of each passenger.
  7. 7. The method of claim 6, wherein generating the target control command for the air conditioning system based on the current air quality parameter, the target air quality parameter, and the supply air outlet adjustment range for each of the occupants comprises: calculating an air quality deviation value of the position of each passenger according to the current air quality parameter and the target air quality parameter of the position of each passenger; taking the air quality deviation value of the position where all the passengers are located as a global optimization target, and determining an air quantity-air speed distribution strategy of the air supply outlet where each passenger is located according to the air supply outlet adjusting range of the position where each passenger is located; and generating a target control instruction of the air conditioning system according to the air quantity-air speed distribution strategy of the air supply outlet at the position of each passenger.
  8. 8. The method of claim 7, further comprising, after controlling the air conditioning system according to the target control command: Monitoring the dynamic response of the sensitive object data of the at least one passenger in a preset time period, the dynamic response of the environment data in the preset time period and the dynamic response of the allergic sign information of the at least one passenger in the preset time period; determining a regulatory indicator of an allergy risk index for each occupant based on the dynamic response; and updating the target air quality parameters of the positions of each passenger according to the regulation and control indexes.
  9. 9. A vehicle comprising a controller including a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the vehicle control method of any one of claims 1-8.
  10. 10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed, implements the vehicle control method according to any one of claims 1 to 8.

Description

Vehicle control method, vehicle and storage medium Technical Field The present application relates to the technical field of intelligent cabins, and more particularly, to a vehicle control method, a vehicle, and a storage medium in the technical field of intelligent cabins. Background With the rapid development of vehicle intellectualization and consumer upgrades, the requirements of drivers and passengers on the cabin environment have been raised from basic comfort level to active attention on air quality and health and safety. According to medical reports, allergic diseases are in a high-rise situation in motor vehicle driving crowds, and particularly in specific seasons and regions, allergic symptoms caused by air pollutants (such as pollen, dust mites and dry air) in vehicles become important factors for influencing driving experience and driving safety. Therefore, development of an intelligent cabin system capable of actively identifying and preventing and controlling allergy risks becomes an important research direction in the technical field of vehicle health. In the related art, the passive filtering of the basis has been developed to combine the user identity with external environment data for early warning, and further to implement simple automatic intervention (such as window closing) based on external risk identification. However, the method still stays on the level of 'external perception triggering preset action', lacks the real-time collaborative perception capability of the sensitizers in the cabin and the physiological states of the passengers, and cannot realize dynamic and closed-loop active protection based on individual risks, so that the method is in need of being solved. Disclosure of Invention The application provides a vehicle control method, a vehicle and a storage medium, wherein the method solves the problems that the related technology lacks the real-time collaborative sensing capability of a sensitization object in a cabin and the physiological state of an occupant, and cannot realize the dynamic and closed-loop active protection based on individual risks through the environment-physiological collaborative sensing and the personalized risk assessment, and remarkably improves the effectiveness of allergy protection and the comfort level of the occupant. According to a first aspect, a vehicle control method is provided, and the vehicle control method comprises the steps of obtaining environmental data in a vehicle cabin, allergic sign information and sensitive object data of at least one passenger, calculating an allergic risk index of each passenger according to the allergic sign information and the sensitive object data of the at least one passenger based on the environmental data, determining a target air quality parameter of a position of each passenger according to the allergic risk index of each passenger, generating a target control instruction of an air conditioning system according to the target air quality parameter of the position of each passenger, and controlling the air conditioning system according to the target control instruction. According to the technical scheme, the multi-dimensional collaborative perception of the allergy risk is achieved by integrating the sensitizers, the physiological signs of the passengers and the environmental data, the limitation that the allergic risk is only dependent on a single environmental index is broken through, the personalized dynamic allergic risk index is calculated for each passenger based on the fusion data, the risk assessment is upgraded from a static threshold value of 'one cut' to the accurate quantification of 'one person one policy', the system sets customized target air quality parameters for the positions of the personnel risk index according to the personal risk index, the individuation of the protection standard is achieved, and finally the individuation target drives an air conditioning system to generate and execute a collaborative optimization control instruction, so that the fixed mode air conditioning is converted into intelligent microenvironment accurate regulation taking the real-time health requirement of the passengers as the center. With reference to the first aspect, in some possible implementation manners, the calculating the allergy risk index of each passenger according to the allergy sign information and the sensitivity data of the at least one passenger based on the environmental data includes calculating the cumulative exposure of each passenger according to the sensitivity data of the at least one passenger, calculating the physiological reaction intensity of each passenger according to the allergy sign information of the at least one passenger, and correcting the cumulative exposure and the physiological reaction intensity of each passenger based on the environmental data to obtain the allergy risk index of each passenger. According to the technical scheme, the individual dose of each passeng