CN-121973715-A - Vehicle active regulation method based on cooperation of driver state and schedule and application

CN121973715ACN 121973715 ACN121973715 ACN 121973715ACN-121973715-A

Abstract

The invention belongs to the technical field of intelligent automobile and cabin interaction, and provides a vehicle active regulation method and application based on the cooperation of a driver state and a schedule, wherein the method comprises the steps of determining a target scene label in a future preset time period based on schedule information of a user; the method comprises the steps of determining a current state label of a driver based on driver state sensing information, calculating the matching degree of a target scene label and the current state label of the driver based on a predefined matching rule, and generating a recommendation or control instruction for adapting to a whole vehicle scene control mode of the target scene label when the matching degree is lower than a first preset threshold value, wherein the whole vehicle scene control mode relates to adjusting operation parameters of more than two subsystems of a vehicle, and controlling the vehicle to execute corresponding cooperative adjustment in response to the confirmation or control instruction of recommendation. The invention can realize the transition from passive response to active service and improve the driving experience.

Inventors

DAI ZHIGUO
WANG XUMING
TANG HAO
ZHANG YOUBIN
WANG LIANG

Assignees

安徽江淮汽车集团股份有限公司

Dates

Publication Date: 20260505
Application Date: 20260303

Claims (10)

1. The vehicle active regulation method based on the cooperation of the driver state and the schedule is characterized by comprising the following steps: step S100, determining a target scene label in a future preset time period based on schedule information of a user; Step S200, determining a current state label of the driver based on the driver state sensing information; Step S300, calculating the matching degree of the target scene tag and the driver current state tag based on a predefined matching rule; step S400, when the matching degree is lower than a first preset threshold value, generating a recommendation or control instruction of a whole vehicle scene control mode for adapting to the target scene tag, wherein the whole vehicle scene control mode relates to adjusting operation parameters of more than two subsystems of different types of vehicles; And step S500, responding to confirmation of the recommendation or the control instruction, and controlling the vehicle to execute corresponding cooperative adjustment.
2. The method according to claim 1, wherein in the step S100, the schedule information includes an event title, an event location, an event type, and an event start time, and the target scene tags include a conference scene, a long distance driving scene, a sports driving scene, and a rest scene.
3. The vehicle active adjustment method according to claim 1, characterized in that in the step S300, calculating the degree of matching based on the predefined matching rule includes: inquiring a predefined matching degree matrix according to the target scene tag and the current state tag of the driver to obtain basic matching degree; and acquiring real-time environment factors influencing the state sensing information of the driver, correcting the basic matching degree based on the real-time environment factors, and calculating to obtain the matching degree for decision.
4. The vehicle active regulation method according to claim 1, wherein in step S400, the different types of subsystems include a power system, a chassis system, a cabin environment system, and an acoustic system.
5. The vehicle active adjustment method according to claim 4, characterized in that in step S400, the whole vehicle scene control mode includes a conference preparation mode, the corresponding operation parameters of which are configured to improve the concentration and alertness of the driver, and a long distance Shu Xiang mode, the corresponding operation parameters of which are configured to provide a relaxed and comfortable driving environment.
6. The method according to claim 1, wherein responding to the confirmation of the recommendation in the step S500 includes presenting the recommendation information and the recommendation reason to the user through a human-computer interaction interface, and receiving a confirmation instruction of the user.
7. An active vehicle regulation system based on a driver status and schedule, comprising: the schedule analysis module is used for determining a target scene label in a future preset time period based on schedule information of a user; the driver state sensing module is used for determining a current state label of the driver based on the driver state sensing information; The matching degree analysis module is used for calculating the matching degree of the target scene tag and the driver current state tag based on a predefined matching rule; The mode recommendation module is used for generating a recommendation or control instruction of a whole vehicle scene control mode for adapting to the target scene tag when the matching degree is lower than a first preset threshold value, wherein the whole vehicle scene control mode relates to adjusting operation parameters of more than two subsystems of different types of vehicles; And the mode execution module is used for responding to confirmation of the recommendation or the control instruction and controlling the vehicle to execute corresponding cooperative adjustment.
8. The vehicle active regulation system of claim 7, wherein the vehicle scene control mode is generated based on a vehicle mode policy repository that presets a plurality of deep vehicle mode profiles, each profile comprising a plurality of cross-subsystem co-parameters, the subsystems comprising a power system, a chassis system, a cabin environment system, and an acoustic system.
9. A computer-readable storage medium having stored thereon computer-readable instructions which, when executed by a processor of a computer, cause the computer to perform the vehicle active adjustment method according to any one of claims 1 to 6 based on a driver status and a schedule.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for actively adjusting a vehicle based on a driver status in cooperation with a schedule according to any one of claims 1 to 6 when the computer program is executed by the processor.

Description

Vehicle active regulation method based on cooperation of driver state and schedule and application Technical Field The application relates to the technical field of intelligent automobile and cabin interaction, in particular to a vehicle active adjusting method based on driver state and schedule cooperation and application thereof. Background High-end vehicle models are currently commonly equipped with a variety of driving modes, such as energy saving mode, comfort mode, sport mode, and cabin scenery modes such as rest mode, movie viewing mode, and the like. However, switching of these modes is mainly dependent on manual selection by the user, with a low degree of intelligentization. Some vehicle models have simple one-key scenes or automatically switch atmosphere lamps according to time, such as at night, but have obvious defects as follows: 1. no state perception, namely the current fatigue, pressure or emotion state of driving cannot be perceived, and switching lacks basis. 2. The method has no journey combination, can not be linked with the schedule of the user, such as next meeting, flight, family activity and the like, and the mode switching is isolated and does not have the prospective of serving the next journey of the user. 3. The linkage is shallow, namely, the scene modes of the existing vehicle are mostly only linkage atmosphere lamps, seats, air conditioners and other few cabin functions, the core areas of the driving experience are not affected by deep cooperative power, chassis, acoustics and the like, and the experience is incomplete. With the continuous innovation of intelligent automobile technology in the industry, some schemes for matching the physiological state detection of a driver with driving scenes also appear in the prior art. For example, patent publication No. CN112677983B discloses a system for identifying the driving style of a driver, which comprises the steps that the driver enters a real vehicle to input future travel plan, constructs a virtual driving scene comprising deterministic and random elements through a scene library according to navigation and intelligent traffic information, a vehicle operation interface is equivalent to a real driving mode in hardware, enters a simulation driving mode after software configuration, realizes realistic simulation driving through visual, hearing, touch, force sense and body sense multi-channel feedback, acquires information of people, vehicles and roads, transmits the information to a vehicle-mounted and cloud data platform, and a vehicle-mounted processor identifies the driving style, comprises overall identification and local identification of the style and updates the driving style library. However, the system can only build a more accurate and refined driver driving style portrait library, possibly for subsequent personalized driving setting, but can not automatically provide the whole vehicle experience which is optimally adapted to the state and the travel of the user when the user needs. For example, the patent application document with the publication number of CN121258023A discloses a driver personalized service recommendation method based on scene perception, which comprises the following steps of S1, collecting multidimensional data, S2, scene perception and recognition, S3, constructing driver portrait construction and dynamic updating, S4, generating personalized service by an intelligent recommendation engine, and S5, real-time decision and service pushing. According to the method, a driver portrait comprising behavior characteristics, preference characteristics and risk levels is formed according to the behavior of a driver, the state of a vehicle and the external environment, and accurate recommendation is performed. But the method is matched with the consistency between the current scene and the history preference of the driver, and is limited to the cooperation of the cabin area (an infotainment system) and the internet of vehicles service, and cannot realize the whole vehicle-level cross-domain cooperative adjustment. Therefore, the prior art cannot automatically provide the whole car experience which is optimally adapted to the state and the travel of the user when the user needs, and cannot execute the whole car-level scene experience mode. Disclosure of Invention In view of the above-mentioned shortcomings of the prior art, the present invention provides a vehicle active adjustment method and application based on the cooperation of driver status and schedule, which can solve the problems of the vehicle subsystem experience rupture and incapability of actively adapting to the real-time status and dynamic travel requirements of users, and realize the spanning from passive response instruction to active modeling experience. In order to achieve the above and related objects, the present invention adopts the following technical scheme: The first aspect of the invention provides a vehicle active adjustment method bas