A vehicle state detection method, system and vehicle-mounted central controller

Abstract

The application provides a vehicle state detection method, comprising: periodically acquiring operation data of each designated component on a vehicle, and determining a durability characteristic parameter value of each designated component in each period based on a preset durability characteristic parameter of each designated component; and calculating the durability characteristic parameter value of each designated component in each period based on a preset remaining service time calculation model of each designated component, to obtain the remaining service time of each designated component in each period, wherein the remaining service time calculation model of each designated component is determined by the preset durability characteristic parameter thereof. The application also provides a vehicle state detection system. By implementing the application, external detection means is no longer needed, real-time dynamic vehicle state detection can be achieved, and better user experience can be provided.

Description

Technical Field

[0001] This invention relates to the field of automotive technology, and in particular to a vehicle status detection method, system, and on-board central controller. Background Technology

[0002] Currently, vehicle inspection and maintenance rely on external inspection methods, which mainly include the following methods: (1) using diagnostic manuals to regularly maintain vehicles and repair parts; (2) identifying and repairing parts faults through explicit prompts; and (3) going to designated locations and using specialized equipment to inspect the function and status of vehicles and specific parts on vehicles.

[0003] However, all of the above external testing methods have shortcomings. The shortcomings are as follows: (1) The vehicle maintenance service and guidance recommendations in the first method are too general, resulting in some components being over-maintained; (2) The vehicle's operating environment is not tested in the second method, so it is impossible to give early warning of component failure under special working conditions; (3) The maintenance suggestions and guidance in the third method are formulated when the vehicle leaves the factory, and there is a lack of convenient means of updating.

[0004] Therefore, there is an urgent need to provide a new vehicle status detection method that no longer relies on the aforementioned external detection methods and can achieve real-time dynamic vehicle status detection to provide a better user experience. Summary of the Invention

[0005] The technical problem to be solved by the embodiments of the present invention is to provide a vehicle status detection method, system and vehicle central controller that no longer rely on external detection means and can realize real-time dynamic vehicle status detection to provide a better user experience.

[0006] To address the aforementioned technical problems, embodiments of the present invention provide a vehicle state detection method, the method comprising the following steps:

[0007] The system periodically acquires the operating data of each specified component on the vehicle, and determines the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0008] The durability characteristic parameter values ​​of each specified component in each cycle are calculated based on the preset remaining service time calculation model of each specified component to obtain the remaining service time of each specified component in each cycle; wherein, the preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameters.

[0009] The method further includes:

[0010] The minimum service life of each specified component is determined, and the performance qualification of each specified component is tested in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0011] If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

[0012] The preset durability characteristic parameters of each specified component are obtained by performing the following steps:

[0013] Obtain durability data generated during durability testing of the currently specified component;

[0014] Select the influence parameters of the current specified component, and based on the selected influence parameters of the current specified component, process the obtained durability data of the current specified component using a preset calculation method to obtain the weight of the selected influence parameters of the current specified component.

[0015] Based on the weights of the selected influence parameters of the currently specified component, determine the selected influence parameters of the currently specified component whose weights meet the predetermined conditions and output them as durability characteristic parameters.

[0016] The method further includes:

[0017] The system receives updated data from the cloud platform to update the durability characteristic parameters of each specified component, and adjusts the remaining service time calculation model of each specified component based on the updated durability characteristic parameters. The updated data is data pre-stored on the cloud platform and associated with the selected influence parameters of each specified component, and is further classified according to vehicle model and / or operating conditions.

[0018] The specified components include a battery, a window control motor, and brake pads.

[0019] This invention also provides a vehicle condition detection system, comprising:

[0020] The component durability characteristic parameter value calculation unit is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0021] The component remaining service time detection unit is used to calculate the remaining service time of each specified component in each cycle based on the preset remaining service time calculation model of each specified component. The preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameters.

[0022] This also includes:

[0023] The component performance testing and alarm unit is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0024] If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

[0025] The specified components include the battery, the window control motor, and the brake pads.

[0026] This invention also provides an in-vehicle central controller, comprising:

[0027] The component durability characteristic parameter value calculation unit is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0028] The component remaining service time detection unit is used to calculate the remaining service time of each specified component in each cycle based on the preset remaining service time calculation model of each specified component. The preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameters.

[0029] This also includes:

[0030] The component performance testing and alarm unit is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0031] If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

[0032] Implementing the embodiments of the present invention has the following beneficial effects:

[0033] This invention automatically converts the operating data of each specified component of a vehicle into its respective durability characteristic parameter value, and combines it with the remaining service time calculation model associated with the durability characteristic parameters of each specified component of the vehicle to quickly obtain the remaining service time of each specified component of the vehicle. Thus, it no longer relies on external detection methods and can realize real-time dynamic vehicle status detection to provide a better user experience. Attached Figure Description

[0034] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, obtaining other drawings based on these drawings without creative effort still falls within the scope of the present invention.

[0035] Figure 1 A flowchart of a vehicle state detection method provided in an embodiment of the present invention;

[0036] Figure 2 A flowchart illustrating the calculation model for the remaining usage time of the window control motor in an application scenario of a vehicle state detection method provided in an embodiment of the present invention;

[0037] Figure 3 This is a flowchart illustrating the process of a vehicle central controller detecting the status of a window control motor in an application scenario of a vehicle status detection method provided in an embodiment of the present invention.

[0038] Figure 4 A flowchart illustrating the interaction between a cloud platform and an on-board central controller in an application scenario of a vehicle status detection method provided in an embodiment of the present invention.

[0039] Figure 5 This is a schematic diagram of a vehicle condition detection system provided in an embodiment of the present invention;

[0040] Figure 6 This is a schematic diagram of the structure of an in-vehicle central controller provided in an embodiment of the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings.

[0042] like Figure 1 As shown in the figure, a vehicle state detection method is provided in an embodiment of the present invention. The method includes the following steps:

[0043] Step S1: Periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0044] Step S2: Calculate the remaining service time of each specified component in each cycle based on the preset remaining service time calculation model of each specified component, and obtain the remaining service time of each specified component in each cycle; wherein, the preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameters.

[0045] Step S3: Determine the lower limit of the usage time of each specified component, and test the performance qualification of each specified component in combination with the remaining usage time of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0046] The specific process is as follows: before step S1, firstly, durability tests (including single-component durability tests, environmental tests, and whole-vehicle durability tests) are conducted on each designated component (such as battery, window control motor, and brake pads) on the vehicle. This yields durability data generated during the durability tests of each designated component, which is then pre-stored in the vehicle's central controller.

[0047] Secondly, on the vehicle central controller, the influence parameters of each specified component (such as temperature, humidity, voltage X1, X2, X3, ..., Xn, direction of movement, etc.) are selected (for example, based on experience). Based on the selected influence parameters of each specified component, the durability data of each specified component is processed using a preset calculation method (such as cluster analysis) to obtain the weights of the selected influence parameters of each specified component (such as k1, k2, k3, ..., kn).

[0048] Next, on the vehicle central controller, based on the weights of the selected influence parameters of each specified component, the selected influence parameters whose weights meet the predetermined conditions are determined and output as durability characteristic parameters; for example, the influence parameters with higher weights (such as the top 5 weights in the ranking) are selected as the durability characteristic parameters of a certain specified component.

[0049] Finally, on the vehicle central controller, using common feature processing methods, the durability characteristic parameters of each specified component are transformed into their respective linear or nonlinear remaining service time calculation models, thus forming a calculation model of durability characteristic parameters and remaining service time of components.

[0050] In step S1, firstly, the vehicle's central controller (such as a gateway) periodically (e.g., every 5 seconds) monitors the operating data of designated components fed back from existing sensors and controllers on the vehicle via a bus. It is understood that the operating data of each designated component can be data from different environments (e.g., rain, extreme cold, high temperature, mountainous terrain, urban areas) and different operating conditions (e.g., regular operating conditions, special operating conditions).

[0051] Secondly, the vehicle central controller processes the operating data of each specified component in each cycle based on the durability characteristic parameters of each specified component, and determines the durability characteristic parameter value of each specified component in each cycle.

[0052] In one example, at a predetermined time T1, the raw operating data within the time period Tn to Tn+1 is converted into durability characteristic parameter values ​​and stored. After the raw operating data from Tn to Tn+1 is discarded, the bus data from Tn+1 to Tn+2 is monitored. This process is repeated to monitor raw operating data within multiple time periods and convert it into corresponding durability characteristic parameter values.

[0053] In step S2, when the vehicle central controller accumulates a certain number of durability characteristic parameter values ​​for a certain number of cycles or when the current processing resources are sufficient, it imports the durability characteristic parameter values ​​of each specified component in each cycle into the preset remaining usage time calculation model of each specified component for calculation, thereby quickly obtaining the remaining usage time of each specified component in each cycle.

[0054] In step S3, if the vehicle central controller detects that the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, it determines that the performance is unqualified and pushes an alarm message (such as reminding the user to perform pre-maintenance or warning of component failure); otherwise, it determines that the performance is qualified. It should be noted that the lower limit of the usage time of each specified component is flexibly designed according to the actual situation.

[0055] In this embodiment of the invention, the vehicle collaborates with a cloud platform to achieve timely and accurate vehicle status monitoring, vehicle fault detection, and recommendation of customized maintenance services. Therefore, the method further includes: the onboard central controller receiving updated data from the cloud platform to update the durability characteristic parameters of each specified component, and adjusting the remaining service time calculation model of each specified component based on the updated durability characteristic parameters; wherein the updated data is data pre-stored on the cloud platform and associated with selected influencing parameters of each specified component, and is further categorized according to vehicle model and / or operating conditions, i.e., the updated data comes from data uploaded to the cloud platform by multiple vehicles under different operating conditions.

[0056] In one example, the vehicle's central controller uploads the stored durability characteristic parameter values ​​and corresponding cycle times to the cloud platform via a remote communication module (such as a Tbox). The cloud platform categorizes and stores the durability characteristic parameter values ​​of each vehicle and its corresponding uploaded specified components according to the vehicle model and / or operating conditions. After accumulating a certain number, the cloud platform pushes the values ​​to the corresponding vehicle's central controller, which then recalculates the weights of the selected influencing parameters for each specified component to update the durability characteristic parameters of each specified component. Based on the updated durability characteristic parameters of each specified component, the central controller adjusts the remaining usage time calculation model for each specified component.

[0057] In summary, the embodiments of the present invention not only address the shortcomings of traditional methods in adapting to specific working conditions by increasing the detection of vehicle operating status, operating conditions, and environmental data, thereby improving the accuracy of special working condition detection and failure warning, but also address the shortcomings of traditional methods in providing only general services and guidance by adding local vehicle data monitoring and calculation, monitoring the individual operating status of vehicles, and providing customized maintenance methods for vehicles. Furthermore, to address the shortcomings of traditional methods in updating data in a timely manner, a method for updating models by local calculation and cloud platform data accumulation is designed to achieve timely warnings and categorized optimization updates.

[0058] like Figures 2 to 4 As shown, taking the state detection of the window control motor as an example, the application scenario of a vehicle state detection method in this embodiment of the invention is further explained as follows:

[0059] Step 1, in Figure 2 First, based on the durability testing standards, a sufficient number of window control motor controllers are selected to undergo durability tests under different environments to obtain durability data (such as curves) for the window control motors. Second, on the vehicle's central controller, the number of Hall effect cycles per run, drive voltage, drive temperature, Hall effect start point during drive, dead drive time, cumulative drive time, and drive direction of the window control motor are selected as influencing parameters. Next, after selecting the influencing parameters, the weights 1 to i of the selected influencing parameters are calculated using clustering and standardization methods. Then, the influencing parameters with the largest weights (drive voltage, number of Hall effect cycles, drive temperature, and Hall effect position) are selected as the durability characteristic parameters of the window control motor. Finally, the durability characteristic parameters of the window control motor are transformed into a calculation model for the remaining service time of the window control motor.

[0060] Step 2, in Figure 3 In step 1, the vehicle-side central controller (gateway) obtains the operating data of the window control motor from the monitoring bus and further collects the durability characteristic parameter values ​​of the window control motor.

[0061] Step 2: The vehicle-mounted central controller repeats Step 1, continuously listening to and storing the operating data of the window control motor until the time Tn~Tn+i is reached. The operating data of each period of the window control motor recorded in Tn~Tn+i is converted into durability characteristic parameter values ​​λ1, λ2, λ3, ... λn. Furthermore, timestamps are added to the durability characteristic parameter values ​​λ1, λ2, λ3, ... λn for storage, and the original operating data is discarded.

[0062] Step 3: The vehicle-mounted central controller repeats step 2, and when processing resources are available, it uses the durability characteristic parameter values ​​λ1, λ2, λ3, ... λn to calculate the remaining usage time of the window control motor for each period.

[0063] Step 4: The vehicle's onboard central controller uploads all timestamped durability feature parameter values ​​λ1, λ2, λ3, ... λn to the cloud platform via Tbox.

[0064] Step 3, in Figure 4 In the process, the cloud platform categorizes the acquired window controllers by vehicle model. After accumulating a certain amount of data, it updates the durability characteristic parameters of the remaining usage time calculation model for the window control motor, and then pushes the update to the vehicle's on-board central controller to update the remaining usage time calculation model for the window control motor.

[0065] Fourth step: The vehicle-mounted central controller repeats the second step and recalculates the remaining usage time of the window control motor based on the durability characteristic parameters pushed by the cloud platform in the third step. It then further reminds the user to perform maintenance and provides warnings about the status of the window motor based on the remaining usage time of the window control motor.

[0066] like Figure 5 As shown in the figure, a vehicle status detection system provided in an embodiment of the present invention includes:

[0067] The component durability characteristic parameter value calculation unit 110 is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0068] The component remaining service time detection unit 120 is used to calculate the remaining service time of each specified component in each cycle based on the remaining service time calculation model preset for each specified component. The remaining service time calculation model preset for each specified component is determined by its preset durability characteristic parameters.

[0069] This also includes:

[0070] The component performance testing and alarm unit 130 is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0071] If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

[0072] The specified components include the battery, the window control motor, and the brake pads.

[0073] like Figure 6 As shown in the figure, an in-vehicle central controller is provided in an embodiment of the present invention, comprising:

[0074] The component durability characteristic parameter value calculation unit 210 is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component.

[0075] The component remaining service time detection unit 220 is used to calculate the remaining service time of each specified component in each cycle based on the remaining service time calculation model preset for each specified component. The remaining service time calculation model preset for each specified component is determined by its preset durability characteristic parameters.

[0076] This also includes:

[0077] The component performance testing and alarm unit 230 is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure.

[0078] If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

[0079] Implementing the embodiments of the present invention has the following beneficial effects:

[0080] This invention automatically converts the operating data of each specified component of a vehicle into its respective durability characteristic parameter value, and combines it with the remaining service time calculation model associated with the durability characteristic parameters of each specified component of the vehicle to quickly obtain the remaining service time of each specified component of the vehicle. Thus, it no longer relies on external detection methods and can realize real-time dynamic vehicle status detection to provide a better user experience.

[0081] It is worth noting that in the above system embodiments, the various system units included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the scope of protection of the present invention.

[0082] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, such as ROM / RAM, disk, optical disk, etc.

[0083] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.

Claims

1. A vehicle condition detection method, characterized in that, The method includes the following steps: The system periodically acquires the operating data of each specified component on the vehicle, and determines the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component. The durability characteristic parameter values ​​of each specified component in each cycle are calculated based on the preset remaining service time calculation model of each specified component to obtain the remaining service time of each specified component in each cycle; wherein, the preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameters. The preset durability characteristic parameters of each specified component are obtained by performing the following steps: Obtain durability data generated during durability testing of the currently specified component; Select the influence parameters of the current specified component, and based on the selected influence parameters of the current specified component, process the obtained durability data of the current specified component using a preset calculation method to obtain the weight of the selected influence parameters of the current specified component. Based on the weights of the selected influence parameters of the currently specified component, determine the selected influence parameters whose weights meet the predetermined conditions in the currently specified component and output them as durability characteristic parameters.

2. The vehicle condition detection method as described in claim 1, characterized in that, The method further includes: The minimum service life of each specified component is determined, and the performance qualification of each specified component is tested in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure. If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

3. The vehicle condition detection method as described in claim 2, characterized in that, The method further includes: The system receives updated data from the cloud platform to update the durability characteristic parameters of each specified component, and adjusts the remaining service time calculation model of each specified component based on the updated durability characteristic parameters. The updated data is data pre-stored on the cloud platform and associated with the selected influence parameters of each specified component, and is further classified according to vehicle model and / or operating conditions.

4. The vehicle condition detection method as described in claim 1, characterized in that, The specified components include the battery, the window control motor, and the brake pads.

5. A vehicle condition detection system, characterized in that, include: The component durability characteristic parameter value calculation unit is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component. The component remaining service time detection unit is used to calculate the durability characteristic parameter value of each specified component in each cycle based on the preset remaining service time calculation model of each specified component, so as to obtain the remaining service time of each specified component in each cycle; wherein, the preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameter. The preset durability characteristic parameters of each specified component are obtained by executing the following modules, specifically including: The durability data acquisition module is used to acquire the durability data generated when the specified component undergoes a durability test. The influence parameter weight calculation module is used to select the influence parameters of the currently specified component, and based on the selected influence parameters of the currently specified component, to process the obtained durability data of the currently specified component using a preset calculation method to obtain the weight of the selected influence parameters of the currently specified component. The durability characteristic parameter determination module is used to determine the selected influence parameters whose weights meet predetermined conditions in the current specified component based on the weights of the selected influence parameters of the current specified component, and output them as durability characteristic parameters.

6. The vehicle condition detection system as described in claim 5, characterized in that, Also includes: The component performance testing and alarm unit is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure. If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

7. The vehicle condition detection system as described in claim 5, characterized in that, The specified components include the battery, the window control motor, and the brake pads.

8. A vehicle-mounted central controller, characterized in that, include: The component durability characteristic parameter value calculation unit is used to periodically acquire the operating data of each specified component on the vehicle, and determine the durability characteristic parameter value of each specified component in each cycle based on the preset durability characteristic parameters of each specified component. The component remaining service time detection unit is used to calculate the durability characteristic parameter value of each specified component in each cycle based on the preset remaining service time calculation model of each specified component, so as to obtain the remaining service time of each specified component in each cycle; wherein, the preset remaining service time calculation model of each specified component is determined by its preset durability characteristic parameter. The preset durability characteristic parameters of each specified component are obtained by executing the following modules, specifically including: The durability data acquisition module is used to acquire the durability data generated when the specified component undergoes a durability test. The influence parameter weight calculation module is used to select the influence parameters of the currently specified component, and based on the selected influence parameters of the currently specified component, to process the obtained durability data of the currently specified component using a preset calculation method to obtain the weight of the selected influence parameters of the currently specified component. The durability characteristic parameter determination module is used to determine the selected influence parameters whose weights meet predetermined conditions in the current specified component based on the weights of the selected influence parameters of the current specified component, and output them as durability characteristic parameters.

9. The vehicle-mounted central controller as described in claim 8, characterized in that, Also includes: The component performance testing and alarm unit is used to determine the lower limit of the service life of each specified component, and to test the performance qualification of each specified component in combination with the remaining service life of each specified component in each cycle; wherein, the performance qualification includes performance qualification and performance failure. If the remaining usage time of a specified component in a certain cycle has reached its corresponding lower limit, the performance is deemed unqualified and an alarm message is sent; otherwise, the performance is deemed qualified.

Images