Search

CN-121973725-A - Bluetooth communication-based vehicle control method and system

CN121973725ACN 121973725 ACN121973725 ACN 121973725ACN-121973725-A

Abstract

The invention belongs to the technical field of vehicle control, and provides a vehicle control method and a system based on Bluetooth communication, wherein physical distance is compressed to centimeter level by introducing a close-fitting action as a key link for intention confirmation, so that interference of long-distance signal fluctuation is fundamentally eliminated; secondly, through dynamically adjusting the RSSI threshold and the dynamic time-limited unlocking threshold, the operation habits of different equipment, different environments and different users can be self-adapted, so that the response is ensured only when the users actively and accurately operate, and a sufficient and non-redundant window period is provided for normal operation; finally, through the final execution of partition unlocking, the unlocking according to the requirement is realized, and the risk brought by unlocking the whole vehicle is avoided. The invention constructs a complete closed loop of wake-up, positioning, close fitting confirmation, dynamic timing and partition execution, and obviously improves the accuracy and the intelligent level of Bluetooth vehicle control on the premise of ensuring high safety.

Inventors

  • LIU CHAOQUN
  • YUAN LIANG
  • WU LIBIN

Assignees

  • 奇瑞商用车(安徽)有限公司

Dates

Publication Date
20260505
Application Date
20260330

Claims (10)

  1. 1. The vehicle control method based on Bluetooth communication is characterized by comprising the following steps of: when the Bluetooth equipment enters a surrounding wake-up range of the vehicle, the vehicle end sends a wake-up signal to the Bluetooth equipment, and after the Bluetooth equipment is waken up, a double-channel Bluetooth connection is established with the vehicle end; The vehicle end preliminarily judges the relative positions of the user and each external Bluetooth sub-node of the vehicle according to the Bluetooth signal intensity, determines the external Bluetooth sub-node closest to the user, and guides the user to cling to the closest external Bluetooth sub-node; After the user clings the Bluetooth equipment to the nearest off-vehicle Bluetooth sub-node, the vehicle end judges whether the Bluetooth equipment is in a clinging state or not according to the RSSI threshold dynamically adjusted based on the equipment information and the environment information; If the vehicle end is in a close-fitting state, the vehicle end calculates a dynamic time-limited unlocking and locking threshold according to the historical average operation time length, the environment compensation time and the basic fault-tolerant time of the user; If the user triggers the corresponding door unlocking button in the dynamic time-limiting unlocking threshold timing range, the vehicle end executes partition unlocking, and if the user does not trigger the button in the dynamic time-limiting unlocking threshold timing range, the unlocking is invalid.
  2. 2. The vehicle control method based on Bluetooth communication according to claim 1, wherein the vehicle exterior Bluetooth sub-node group comprises 1 Bluetooth sub-node of a left front door, a right front door and a trunk, each of which adopts a partition wake mode, the non-wake-up vehicle exterior Bluetooth sub-node is kept in a low power consumption state, and the partition unlock is only used for unlocking and clinging to a vehicle door or a trunk corresponding to the external Bluetooth sub-node.
  3. 3. The vehicle control method based on bluetooth communication according to claim 1, wherein the vehicle end judges whether the bluetooth device is in a close contact state according to an RSSI threshold dynamically adjusted based on device information and environment information, specifically: Acquiring a reference signal strength value of the equipment model under a standard environment according to the equipment identification information acquired in the communication process of the Bluetooth equipment; calculating an environment compensation factor according to the current environment temperature, the environment humidity and the state parameters of the metal covering parts of the vehicle by combining pre-stored environment influence calibration coefficients; inputting the equipment model information, the real-time environment parameters, the current electric quantity of the equipment and the historical interaction success rate into a pre-trained machine learning model, and outputting a dynamic correction value; Calculating an RSSI threshold of a close contact state under the current judging condition based on the reference signal intensity value, the environment compensation factor and the dynamic correction value; And acquiring a real-time RSSI value sequence of the Bluetooth equipment in the close process, comparing the real-time RSSI value sequence with an RSSI threshold in the close state after filtering, and judging that the Bluetooth equipment is in the close state when the maximum value or the average value in the sequence reaches or exceeds the RSSI threshold in the close state.
  4. 4. The vehicle control method based on bluetooth communication according to claim 1, wherein the vehicle end calculates a dynamic time-limited unlocking and locking threshold according to the historical average operation duration, the environment compensation time and the basic fault tolerance time of the user, specifically: According to one or more parameters of the current environmental temperature, humidity and illumination intensity obtained in real time, calculating the environmental compensation time caused by environmental factors according to a preset compensation rule or a lookup table; and carrying out comprehensive operation on the user historical operation duration statistic value, the environment compensation time and the basic fault-tolerant time to obtain a dynamic time-limited threshold value after the current identity authentication passes, wherein the comprehensive operation comprises taking one of maximum value, weighted summation or superposition standard deviation.
  5. 5. The vehicle control method based on Bluetooth communication of claim 1, further comprising the steps that after the Bluetooth node in the vehicle recognizes legal Bluetooth intelligent equipment and allows the Bluetooth intelligent equipment to start, the vehicle further collects seat pressure distribution information or carries out fast face recognition through a camera in the vehicle, and after double confirmation that a user currently located in a driving position is a legal authorized user, the power anti-theft device is released.
  6. 6. The vehicle control method based on Bluetooth communication of claim 1, further comprising the steps of obtaining specific behavior feature data of a user, verifying whether the specific behavior feature data of the user is matched with a pre-stored template or a current logic instruction by a vehicle end, and guiding the user to cling to a nearest Bluetooth child node outside the vehicle after verification, wherein the behavior feature comprises one or more of shaking actions of a preset amplitude and frequency of the user on intelligent equipment, clicking sequences of specific keys of the equipment and sliding of a preset track on a screen of the equipment.
  7. 7. A bluetooth communication-based vehicle control system, comprising: the system comprises a wake-up module, a vehicle end and a Bluetooth device, wherein the wake-up module is configured to establish a double-channel Bluetooth connection with the vehicle end after the Bluetooth device enters a surrounding wake-up range of the vehicle; The guiding module is configured to preliminarily judge the relative positions of the user and each external Bluetooth sub-node of the vehicle according to the Bluetooth signal intensity by the vehicle end, determine the external Bluetooth sub-node closest to the user and guide the user to cling to the closest external Bluetooth sub-node; The judging module is configured to judge whether the Bluetooth equipment is in a close-fitting state according to the RSSI threshold value dynamically adjusted based on the equipment information and the environment information by the vehicle end after the Bluetooth equipment is closely attached to the nearest Bluetooth sub-node outside the vehicle by a user; the calculation module is configured to calculate a dynamic time-limited unlocking and locking threshold value according to the historical average operation duration, the environment compensation time and the basic fault-tolerant time of the user if the vehicle end is judged to be in a close state; The unlocking module is configured to trigger a corresponding door unlocking button within the dynamic time-limiting unlocking threshold timing range by a user, execute partition unlocking at the vehicle end, and fail unlocking if the button is not triggered within the dynamic time-limiting unlocking threshold timing range by the user.
  8. 8. An electronic device comprising a memory and a processor, and computer instructions stored on the memory and running on the processor, which when executed by the processor, perform a bluetooth communication based vehicle control method according to any one of claims 1-6.
  9. 9. A computer readable storage medium storing computer instructions which, when executed by a processor, perform a bluetooth communication based vehicle control method according to any one of claims 1-6.
  10. 10. A vehicle, characterized in that a vehicle control method based on bluetooth communication according to any one of claims 1-6 is used.

Description

Bluetooth communication-based vehicle control method and system Technical Field The invention belongs to the technical field of vehicle control, and particularly relates to a vehicle control method and system based on Bluetooth communication. Background The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. With the development of intelligent and networking of automobiles, keyless entry and starting systems have become a common configuration of modern vehicles. The existing car control method based on Bluetooth communication still has a plurality of defects in practical application. First, the conventional scheme relies on a single determination of bluetooth signal strength to determine the distance between the user and the vehicle, so as to perform a unlocking operation. Because the RSSI value is extremely easy to be influenced by environmental interference and hardware differences of different Bluetooth devices, the ranging accuracy is not high, and erroneous judgment is easy to occur. Secondly, when a user approaches the vehicle, the system can only unlock the whole vehicle or unlock the driving position, and the user intention cannot be accurately identified to operate the specific vehicle door, so that the intelligent degree is limited. Therefore, how to provide a vehicle control method based on bluetooth communication, which can overcome the above-mentioned drawbacks and realize high accuracy and high security, is a problem to be solved at present. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides a vehicle control method and system based on Bluetooth communication, which constructs a complete closed loop of wakeup-positioning-close confirmation-dynamic timing-partition execution, and obviously improves the accuracy and the intelligent level of Bluetooth vehicle control on the premise of ensuring high safety. In order to achieve the above purpose, the present invention adopts the following technical scheme: in a first aspect, the present invention provides a vehicle control method based on bluetooth communication, including: when the Bluetooth equipment enters a surrounding wake-up range of the vehicle, the vehicle end sends a wake-up signal to the Bluetooth equipment, and after the Bluetooth equipment is waken up, a double-channel Bluetooth connection is established with the vehicle end; The vehicle end preliminarily judges the relative positions of the user and each external Bluetooth sub-node of the vehicle according to the Bluetooth signal intensity, determines the external Bluetooth sub-node closest to the user, and guides the user to cling to the closest external Bluetooth sub-node; After the user clings the Bluetooth equipment to the nearest off-vehicle Bluetooth sub-node, the vehicle end judges whether the Bluetooth equipment is in a clinging state or not according to the RSSI threshold dynamically adjusted based on the equipment information and the environment information; If the vehicle end is in a close-fitting state, the vehicle end calculates a dynamic time-limited unlocking and locking threshold according to the historical average operation time length, the environment compensation time and the basic fault-tolerant time of the user; If the user triggers the corresponding door unlocking button in the dynamic time-limiting unlocking threshold timing range, the vehicle end executes partition unlocking, and if the user does not trigger the button in the dynamic time-limiting unlocking threshold timing range, the unlocking is invalid. Further, the external Bluetooth sub-node group comprises 1 Bluetooth sub-node of each of a left front door, a right front door and a trunk, all adopt a partition wake-up mode, the external Bluetooth sub-node which is not woken up is kept in a low power consumption state, and the partition unlocking is to unlock only the door or the trunk corresponding to the external Bluetooth sub-node. Further, the vehicle end judges whether the bluetooth device is in a close state according to the RSSI threshold dynamically adjusted based on the device information and the environment information, specifically: Acquiring a reference signal strength value of the equipment model under a standard environment according to the equipment identification information acquired in the communication process of the Bluetooth equipment; calculating an environment compensation factor according to the current environment temperature, the environment humidity and the state parameters of the metal covering parts of the vehicle by combining pre-stored environment influence calibration coefficients; inputting the equipment model information, the real-time environment parameters, the current electric quantity of the equipment and the historical interaction success rate into a pre-trained machine learning model, and outputting a dynamic correction value; Calcu