Method for determining general calibration data of automobile Bluetooth key

Abstract

The invention discloses a method for determining universal calibration data of an automobile Bluetooth key, which is used for determining universal calibration data of the automobile Bluetooth key meeting the use of an uncalibrated mobile terminal, and comprises the following steps of: firstly, acquiring calibration data of multiple groups of mobile terminals with different models, and respectively analyzing and operating each characteristic parameter set of the calibration data; then combining the optimized characteristic parameter values into general calibration data, and carrying out real vehicle verification for many times and fine tuning to obtain final general calibration data; then the universal calibration data are uploaded to a cloud end, and when the mobile terminal is connected with a Bluetooth key, the APP end uploads the model of the mobile terminal to the cloud end; and finally, the cloud carries out information confirmation, issues corresponding calibration data to the calibrated machine type, and issues universal calibration data to the uncalibrated machine type. According to the method, the general calibration data is determined by using the existing calibration data set, so that a user using an uncalibrated model can use the automobile Bluetooth key, and the automobile use experience is optimized.

Description

Technical Field

[0001] The present application relates to the field of automotive intelligent electronic technology, and in particular to a method for determining universal calibration data for automotive Bluetooth keys. Background Art

[0002] As the automotive industry moves towards intelligence, car Bluetooth key technology is developing rapidly, and its technical direction tends to increase the number of antennas to make positioning more accurate. Due to the significant differences in Bluetooth signal strength between different models of mobile phones, the car Bluetooth key system needs to collect special calibration data for different models during the offline calibration phase to ensure that the unlocking distance meets the good experience and improve the practicality and convenience of the system. However, under realistic considerations, it is difficult for companies to bear the cost of calibrating all mobile phones on the market one by one. Therefore, calibration operations are usually only performed on the best-selling mobile phone models with the largest user base in the market. For mobile phones that are not included in the calibration range, a set of general calibration data is generally used as an alternative.

[0003] In the early days of the development of car Bluetooth key technology, mobile phone calibration data consisted of three main parameters, namely, in-car value, unlock value, and locked value, which were used to distinguish whether the mobile phone was in the car, unlocked area, or locked area. The method for determining the universal calibration data generated for this purpose is to select a set of universal data that meets the unlocking needs of most mobile phones from the existing calibration data, which can be called a single parameter screening method.

[0004] However, as Bluetooth key technology matures, positioning partitions become more refined, and independent calibration parameters are introduced in each direction of the vehicle body, the number of parameters increases rapidly. There is no universal calibration data calculation method for multi-parameter Bluetooth key systems. If the old single-parameter screening method is used, its accuracy is poor.

[0005] Therefore, with regard to the Bluetooth key calibration data with more and more parameters, how to improve the accuracy of universal calibration data to improve the car-using experience and safety of users of uncalibrated models has become a problem that needs to be solved urgently. Summary of the invention

[0006] The purpose of this application is to design a method for determining universal calibration data for car Bluetooth keys, which can utilize existing multiple sets of mobile terminal Bluetooth key calibration data to generate universal calibration data based on the preferred combination of various parameters, thereby improving the practicality and security of the universal calibration data.

[0007] To achieve the above purpose, the method described in this application includes the following steps:

[0008] Collect multiple sets of calibration data of mobile terminals of different models;

[0009] Analyze and process each characteristic parameter set of the calibration data separately;

[0010] Combining the preferred characteristic parameter values ​​into universal calibration data;

[0011] Conduct multiple real-vehicle verifications and fine-tune to obtain the final universal calibration data;

[0012] Upload the universal calibration data to the cloud;

[0013] When the mobile terminal is connected to the Bluetooth key, the APP uploads the mobile terminal model to the cloud;

[0014] After the cloud confirms the information, the corresponding calibration data will be sent for the calibrated models, and the general calibration data will be sent for the uncalibrated models.

[0015] Optionally, the characteristic parameters of the calibration data include one or more of the following:

[0016] The first characteristic parameter, the second characteristic parameter, the third characteristic parameter, the fourth characteristic parameter, the fifth characteristic parameter.

[0017] Optionally, the first characteristic parameter includes:

[0018] The in-car threshold of the mobile terminal at the main window of the car, and the trunk threshold of the mobile terminal in the trunk of the car;

[0019] Optionally, the second characteristic parameter includes:

[0020] The unlocking threshold of the mobile terminal in the left direction of the car and the locking threshold of the mobile terminal in the left direction of the car;

[0021] Optionally, the third, fourth and fifth characteristic parameters are respectively the unlocking thresholds of the mobile terminal in the right, front and rear directions of the car.

[0022] Optionally, the step S1 may further include one or more of the following:

[0023] The first characteristic parameter collection method is to place the mobile terminal at the main driving window for 10 seconds, collect the Bluetooth signal strength value and take the average as the in-car threshold; place the mobile terminal in the trunk for 10 seconds, collect the Bluetooth signal strength value and take the average as the trunk threshold;

[0024] The method for collecting the remaining characteristic parameters is as follows: the handheld mobile terminal is located at the expected unlocking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the unlocking threshold; the handheld mobile terminal is located at the expected locking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the locking threshold.

[0025] Optionally, the content of step S2 also includes one or more of the following:

[0026] Arrange each feature parameter set in order;

[0027] Analyze each characteristic parameter separately and determine the optimization criteria;

[0028] The common value of this characteristic parameter is calculated according to the standard.

[0029] Optionally, the step S4 may further include one or more of the following:

[0030] Connect the mobile terminal to the target vehicle via Bluetooth;

[0031] Writing the universal calibration data obtained in step S3 into the target vehicle Bluetooth key controller;

[0032] Conduct a distance test, where the handheld mobile terminal moves away from the target vehicle in each target direction and records the locking distance;

[0033] Conduct an approach test, where the handheld mobile terminal approaches the target vehicle in each target direction and records the unlocking distance;

[0034] Repeat the distance test and the locking test 3 times, and take the average value and record it as the result in this direction;

[0035] Replace multiple mobile terminals of different models and repeat the above steps;

[0036] According to the performance results of multiple mobile terminals, the characteristic parameter values ​​of poor distance performance are adjusted;

[0037] Repeat the above steps after adjustment, and obtain the final universal calibration data after multiple times.

[0038] This application utilizes existing multiple sets of mobile terminal Bluetooth key calibration data to generate universal calibration data based on the preferred combination of parameters, thereby solving the limitations of traditional single-parameter screening methods under the current rapid growth trend of calibration parameters and improving the practicality and security of universal calibration data. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a flow chart of a method for determining universal calibration data for a car Bluetooth key provided in an embodiment of the present application. DETAILED DESCRIPTION

[0040] In order to make the content of this application more clearly understood, further detailed description is given below based on specific embodiments.

[0041] The present application embodiment provides a method for determining universal calibration data of a car Bluetooth key, referring to Figure 1 , Figure 1 This is a flow chart of an embodiment of the present application.

[0042] In this embodiment, the method for determining universal calibration data includes the following steps:

[0043] Step S1, collecting multiple groups of calibration data of mobile terminals of different models.

[0044] It should be noted that the mobile terminal described in this embodiment may be a smart phone, a smart watch or other smart mobile terminals capable of Bluetooth key connection.

[0045] The characteristic parameters of the calibration data include one or more of the following: a first characteristic parameter, a second characteristic parameter, a third characteristic parameter, a fourth characteristic parameter, and a fifth characteristic parameter.

[0046] The first characteristic parameters include: an in-car threshold value of the mobile terminal at the main driving window of the car, and a trunk threshold value of the mobile terminal in the trunk of the car;

[0047] The second characteristic parameter includes: an unlocking threshold of the mobile terminal in the left direction of the car, and a locking threshold of the mobile terminal in the left direction of the car;

[0048] The third, fourth and fifth characteristic parameters are respectively the unlocking thresholds of the mobile terminal in the right, front and rear directions of the car.

[0049] in:

[0050] During calibration, all doors and windows of the vehicle should be closed.

[0051] When performing trunk calibration, after placing the mobile terminal in the trunk, the trunk door should be closed for calibration.

[0052] The first characteristic parameter collection method is to place the mobile terminal at the main driving window for 10 seconds, collect the Bluetooth signal strength value and take the average as the in-car threshold; place the mobile terminal in the trunk for 10 seconds, collect the Bluetooth signal strength value and take the average as the trunk threshold;

[0053] The method for collecting the remaining characteristic parameters is as follows: the handheld mobile terminal is located at the expected unlocking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the unlocking threshold; the handheld mobile terminal is located at the expected locking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the locking threshold.

[0054] in:

[0055] The Bluetooth signal strength value refers to a value obtained by weighting and calculating the RSSI (Received Signal Strength Indication) of each Bluetooth antenna.

[0056] In one application scenario, the expected unlocking distance is 3-5 meters, and the expected locking distance is 8-10 meters.

[0057] Step S2, analyzing and processing each characteristic parameter set of the calibration data separately, including:

[0058] 1) Arrange each feature parameter set in order;

[0059] 2) Analyze each characteristic parameter separately and determine the optimization criteria;

[0060] 3) Calculate the common value of the characteristic parameter according to the standard.

[0061] in:

[0062] The characteristic parameters may be arranged in ascending order or descending order.

[0063] In one application scenario, the preferred standard for the second characteristic parameter is that the unlocking threshold is the value at 25% in ascending order, and the locking threshold is the value at 75% in ascending order.

[0064] Step S3, combining the preferred characteristic parameter values ​​into universal calibration data;

[0065] Step S4, performing multiple real vehicle verifications and fine-tuning to obtain the final universal calibration data, including:

[0066] 1) Connect the mobile terminal to the target vehicle via Bluetooth;

[0067] 2) writing the universal calibration data obtained in step S3 into the target vehicle Bluetooth key controller;

[0068] 3) Perform a distance test, where the handheld mobile terminal moves away from the target vehicle in each target direction and records the locking distance;

[0069] 4) Perform an approach test, where the handheld mobile terminal approaches the target vehicle in each target direction and records the unlocking distance;

[0070] 5) Repeat the distance test and the locking test 3 times, and take the average value and record it as the result of this direction;

[0071] 6) Replace multiple mobile terminals of different models and repeat the above steps;

[0072] 7) According to the performance results of multiple mobile terminals, the characteristic parameter values ​​of poor distance performance are adjusted;

[0073] 8) Repeat the above steps after adjustment to obtain the final universal calibration data.

[0074] in:

[0075] When performing the above-mentioned disengagement test, hold the vehicle with your right hand hanging naturally, and walk away from the vehicle at a normal pace with your back to the vehicle until the vehicle triggers the sensor lock.

[0076] When performing the approach test, use the same holding method and approach the vehicle at a normal pace facing the vehicle until the vehicle triggers the sensor to unlock.

[0077] Step S5, uploading the universal calibration data to the cloud;

[0078] Step S6, when the mobile terminal is connected to the Bluetooth key, the APP uploads the mobile terminal model to the cloud;

[0079] Step S7: After the cloud confirms the information, it sends the corresponding calibration data for the calibrated model and sends the general calibration data for the uncalibrated model.

[0080] Through the description of the above implementations, those skilled in the art can easily understand that the example implementations described here can be implemented by software, or by combining software with necessary hardware.

[0081] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present disclosure, which are used to illustrate the technical solutions of the present disclosure, rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although the present disclosure is described in detail with reference to the above-described embodiments, ordinary technicians in the field should understand that any technician familiar with the technical field can still modify the technical solutions recorded in the above-described embodiments within the technical scope disclosed in the present disclosure, or can easily think of changes, or make equivalent replacements for some of the technical features therein; and these modifications, changes or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should be included in the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be based on the protection scope of the claims.

Claims

1. A method for determining universal calibration data of a car Bluetooth key, the method being used to determine universal calibration data of a car Bluetooth key that meets the requirements of an uncalibrated mobile terminal, characterized in that: The following steps are involved: Step S1, collecting multiple sets of calibration data of mobile terminals of different models; Step S2, analyzing and calculating each characteristic parameter set of the calibration data; Step S3, combining the preferred characteristic parameter values ​​into universal calibration data; Step S4, performing multiple real vehicle verifications and fine-tuning to obtain the final universal calibration data; Step S5, uploading the universal calibration data to the cloud; Step S6, when the mobile terminal is connected to the Bluetooth key, the APP uploads the mobile terminal model to the cloud; Step S7: After the cloud confirms the information, it sends the corresponding calibration data for the calibrated model and sends the general calibration data for the uncalibrated model.

2. The method according to claim 1, characterized in that The characteristic parameters of the calibration data include one or more of the following: a first characteristic parameter, a second characteristic parameter, a third characteristic parameter, a fourth characteristic parameter, and a fifth characteristic parameter.

3. The characteristic parameter according to claim 1, characterized in that: The first characteristic parameters include: an in-car threshold value of the mobile terminal at the main driving window of the car, and a trunk threshold value of the mobile terminal in the trunk of the car; The second characteristic parameter includes: an unlocking threshold of the mobile terminal in the left direction of the car, and a locking threshold of the mobile terminal in the left direction of the car; The third, fourth and fifth characteristic parameters are respectively the unlocking thresholds of the mobile terminal in the right, front and rear directions of the car.

4. The method according to claim 1, characterized in that: The step S1 includes one or more of the following: The first characteristic parameter collection method is to place the mobile terminal at the main driving window for 10 seconds, collect the Bluetooth signal strength value and take the average as the in-car threshold; place the mobile terminal in the trunk for 10 seconds, collect the Bluetooth signal strength value and take the average as the trunk threshold; The method for collecting the remaining characteristic parameters is as follows: the handheld mobile terminal is located at the expected unlocking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the unlocking threshold; the handheld mobile terminal is located at the expected locking distance in the target direction and stays there for 10 seconds, the Bluetooth signal strength values ​​are collected and the average is taken as the locking threshold.

5. The method according to claim 1, characterized in that The content of step S2 includes one or more of the following: Arrange each feature parameter set in order; Analyze each characteristic parameter separately and determine the optimization criteria; The common value of this characteristic parameter is calculated according to the standard.

6. The method according to claim 1, characterized in that The step S4 includes one or more of the following: Connect the mobile terminal to the target vehicle via Bluetooth; Writing the universal calibration data obtained in step S3 into the target vehicle Bluetooth key controller; Conduct a distance test, where the handheld mobile terminal moves away from the target vehicle in each target direction and records the locking distance; Conduct an approach test, where the handheld mobile terminal approaches the target vehicle in each target direction and records the unlocking distance; Repeat the distance test and the locking test 3 times, and take the average value and record it as the result in this direction; Replace multiple mobile terminals of different models and repeat the above steps; According to the performance results of multiple mobile terminals, the characteristic parameter values ​​of poor distance performance are adjusted; Repeat the above steps after adjustment, and obtain the final universal calibration number after multiple times.

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