CN112477872B - Parameter calibration method, device, equipment and storage medium - Google Patents
Parameter calibration method, device, equipment and storage medium Download PDFInfo
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- CN112477872B CN112477872B CN202011348597.0A CN202011348597A CN112477872B CN 112477872 B CN112477872 B CN 112477872B CN 202011348597 A CN202011348597 A CN 202011348597A CN 112477872 B CN112477872 B CN 112477872B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
Abstract
The invention discloses a parameter calibration method, a parameter calibration device, parameter calibration equipment and a storage medium. The method comprises the following steps: collecting driving information; determining the use preference information of the user on the target function according to the driving information; the technical scheme of the invention can realize the analysis of the driving habits and the preferences of the drivers automatically at the background without contacting the drivers and interfering the normal driving of the drivers, and sets the exclusive calibration parameters for each driver so as to meet the diversified requirements of the terminal users.
Description
Technical Field
The embodiment of the invention relates to vehicle technology, in particular to a parameter calibration method, a parameter calibration device, parameter calibration equipment and a storage medium.
Background
With the popularization of automobiles and the development of internet technologies, the demands of consumers on automobiles no longer only stay on basic transportation functions, and more attention is paid to the intellectualization and networking of automobiles and the improvement of various services and experiences brought by the intellectualization and the networking. Vehicles and vehicle enterprises capable of providing more humanized services and more personalized driving experiences for consumers can easily win intense market competition, but performance performances of various comfort functions provided by the existing vehicles for drivers are generally all solidified before the vehicles come into the market, the performance performances are generally determined according to internal calibration standards of various host plants, driving habits and preferences of all drivers are difficult to meet, complaints of some drivers on specific functions are easily caused, and positive evaluation of the drivers on the vehicles is influenced.
Disclosure of Invention
Embodiments of the present invention provide a parameter calibration method, apparatus, device, and storage medium, so as to implement analysis of driving habits and preferences of a driver automatically in the background, without contacting the driver, without interfering with normal driving of the driver, and set a dedicated calibration parameter for each driver, thereby satisfying diversified requirements of end users.
In a first aspect, an embodiment of the present invention provides a parameter calibration method, including:
collecting driving information;
determining the use preference information of the user on the target function according to the driving information;
and determining target calibration parameters corresponding to the target functions according to the use preference information of the user on the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters.
In a second aspect, an embodiment of the present invention further provides a parameter calibration apparatus, including:
the acquisition module is used for acquiring driving information;
the determining module is used for determining the use preference information of the user on the target function according to the driving information;
and the updating module is used for determining a target calibration parameter corresponding to the target function according to the use preference information of the user on the target function and updating the calibration parameter of the target function according to the target calibration parameter.
In a third aspect, an embodiment of the present invention further provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor executes the computer program to implement the method according to any one of the embodiments of the present invention.
In a fourth aspect, the embodiments of the present invention further provide a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the method according to any one of the embodiments of the present invention.
The embodiment of the invention collects the driving information; determining the use preference information of the user on the target function according to the driving information; and determining target calibration parameters corresponding to the target functions according to the use preference information of the users for the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters so as to realize the analysis of the driving habits and preferences of the drivers automatically at the background without contacting the drivers and interfering the normal driving of the drivers, and setting exclusive calibration parameters for each driver to meet the diversified requirements of the terminal users.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a flowchart of a parameter calibration method according to an embodiment of the present invention;
FIG. 1a is a diagram of a system architecture according to a first embodiment of the present invention;
FIG. 1b is a flow chart of another parameter calibration method according to the first embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a parameter calibration apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device in a third embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example one
Fig. 1 is a flowchart of a parameter calibration method according to an embodiment of the present invention, where the present embodiment is applicable to a parameter calibration situation, and the method may be executed by a parameter calibration apparatus according to an embodiment of the present invention, where the apparatus may be implemented in a software and/or hardware manner, as shown in fig. 1, the method specifically includes the following steps:
and S110, collecting driving information.
The driving information collection may be real-time driving information collection or periodic driving information collection, which is not limited in this embodiment of the present invention.
For example, the driving information may be a CAN signal preferred by a driver for a comfort function, wherein the CAN signal preferred by the comfort function includes a CAN signal preferred by a target function, and the CAN signal preferred by the target function is a CAN signal preferred by a specific comfort function; for example, after the vehicle is purchased by a driver and accessed to the remote service management platform, the vehicle TBOX uploads the CAN signal representing the preference of the driver for the use of the specific comfort function to the remote service management platform according to a predetermined signal sampling strategy.
And S120, determining the use preference information of the user on the target function according to the driving information.
The target function may be a specific comfort function, and may be, for example, an engine start/stop function, an automatic parking function, and the like.
For example, the usage preference information of the user for the target function may be information capable of representing the preference of the user for the target function, and for example, the usage frequency of the function may be obtained by calculating the time ratio of three states of off, standby and active of the automatic parking function operation state signal; counting signal values representing the brake intensity of a driver, such as the value of the pressure of a brake master cylinder, of the vehicle before and after each brake, and obtaining the value of the average brake master cylinder pressure when the vehicle brakes; and calculating the change gradient of the opening degree of the accelerator pedal which is expected to be pressed by the driver after the vehicle is braked and stopped so as to obtain the degree that the driver tends to drive aggressively.
S130, determining target calibration parameters corresponding to the target functions according to the use preference information of the target functions by the user, and updating the calibration parameters of the target functions according to the target calibration parameters.
For example, the target calibration parameter corresponding to the target function is determined according to the user preference information on the target function, and the calibration parameter of the target function is updated according to the target calibration parameter, for example, the time ratio of the off state, the standby state and the active state of the working state signal of the automatic parking function is calculated, so as to obtain the use frequency of the automatic parking function; if the off state percentage exceeds 80%, indicating that the driver does not prefer to use the function, the function power-up default state obtained from the function calibration parameter knowledge base module will be off; counting the average brake master cylinder pressure value of the preset time before and after each brake of the vehicle, if the obtained average brake master cylinder pressure value is between 5bar and 15bar, indicating that the brake operation of a driver is soft or the strength of the driver is weak, and obtaining a master cylinder pressure threshold activated by the function from the function calibration parameter knowledge base module to be small; and calculating the change gradient of the opening degree of the accelerator pedal after the vehicle is braked and stopped to obtain the degree that the driver tends to drive aggressively, wherein if the obtained change gradient of the opening degree of the accelerator is larger, the driver is indicated to pursue aggressive driving experience, and the threshold of the opening degree of the accelerator pedal for exiting the function obtained from the function calibration parameter knowledge base module is smaller.
Optionally, collecting driving information includes:
a CAN signal representing a driver's preference for use of a target function is acquired.
Optionally, the CAN signal for indicating the driver's preference for using the target function includes: at least one of a vehicle speed signal, a vehicle acceleration signal, a brake signal, an accelerator opening signal, and a switch signal for a comfort function.
Optionally, the determining, according to the usage preference information of the user on the target function, a target calibration parameter corresponding to the target function includes:
and querying a database according to the use preference information of the target function by the user to obtain a target calibration parameter corresponding to the target function.
Optionally, determining the usage preference information of the target function by the user according to the driving information includes:
calculating the time ratio of the off state, the standby state and the active state of the working state signal of the automatic parking function to obtain the use frequency of the automatic parking function;
counting the average brake master cylinder pressure value of the vehicle in the preset time before and after each brake;
and calculating the gradient of the change of the opening degree of the accelerator pedal after the vehicle is braked and stopped to obtain the degree of the driver which tends to drive aggressively.
Exemplarily, calculating the time ratio of the off state, the standby state and the active state of the working state signal of the automatic parking function to obtain the use frequency of the automatic parking function; if the off state percentage exceeds 80%, indicating that the driver does not prefer to use the function, the function power-up default state obtained from the function calibration parameter knowledge base module will be off; counting the average brake master cylinder pressure value of the preset time before and after each brake of the vehicle, if the obtained average brake master cylinder pressure value is between 5bar and 15bar, indicating that the brake operation of a driver is soft or the strength of the driver is weak, and obtaining a master cylinder pressure threshold activated by the function from the function calibration parameter knowledge base module to be small; and calculating the change gradient of the opening degree of the accelerator pedal after the vehicle is braked and stopped to obtain the degree that the driver tends to drive aggressively, wherein if the obtained change gradient of the opening degree of the accelerator is larger, the driver is indicated to pursue aggressive driving experience, and the threshold of the opening degree of the accelerator pedal for exiting the function obtained from the function calibration parameter knowledge base module is smaller.
Optionally, the updating the calibration parameters of the target function according to the target calibration parameters includes:
acquiring a current calibration parameter corresponding to a target function;
if the difference value between the target calibration parameter and the current calibration parameter is larger than a set difference value threshold, sending the target calibration parameter to a vehicle TBOX so that the vehicle TBOX stores the target calibration parameter;
and sending the target function updating request to the vehicle entertainment host and/or the target mobile terminal through the CAN bus and/or the wireless network.
In one example, as shown in FIG. 1a, the system architecture comprises: cell-phone mobile terminal APP, remote service management platform, vehicle 1, vehicle 2, … vehicle n, wherein, remote service management platform includes: the driver preference analysis system comprises a data acquisition and storage module, a driver preference analysis module and a calibration parameter knowledge base module; the vehicle includes: T-Box, entertainment host and function controller 1, power controller 2, … function controller n.
In an example, as shown in fig. 1b, the controller to which the comfort function belongs is in signal connection with a vehicle TBOX and a vehicle entertainment host through a CAN bus, the TBOX is in signal connection with a remote service management platform through a wireless network, and the remote service management platform comprises a vehicle data acquisition and storage module, a driver preference analysis module and a function calibration parameter knowledge base module.
The self-adaptive calibration method comprises the following implementation steps:
1. and (5) collecting driving information. After a driver purchases and accesses the vehicle to a remote service management platform, the vehicle TBOX uploads a CAN signal representing the use preference of the driver to a specific comfort function to a data acquisition and storage module of the remote service management platform according to a set signal sampling strategy; the signal sampling policy includes, but is not limited to, an event trigger type, where a trigger event may trigger an acquisition operation if a received signal meets a set condition, or may trigger an acquisition operation if a signal is received, and the embodiment of the present invention is not limited to this, and the signal sampling policy further includes: signal sampling frequencies including, but not limited to, 10ms, 20 ms; the comfort function comprises but is not limited to an engine start-stop function, an automatic parking function and the like; the CAN signal representing the use preference of the driver for the specific comfort function comprises but is not limited to a vehicle speed signal, a vehicle acceleration signal, a brake signal, an accelerator opening degree signal, a switch signal of a corresponding function and the like;
2. and analyzing driving preference characteristic parameters. And the driver preference analysis module of the remote service management platform analyzes the vehicle information stored in the data acquisition and storage module according to a specific analysis strategy corresponding to the comfort function, and extracts characteristic parameters of the use preference of the driver for the comfort function. Taking the automatic parking function as an example, the specific analysis strategy is ' calculating the time ratio of three states of off, standby and active of the working state signal of the automatic parking function to obtain the use frequency of the function ', counting the signal value representing the brake intensity of a driver 1s before and after each brake stop of the vehicle, such as the value of the pressure of a brake master cylinder, obtaining the average brake master cylinder pressure value when the vehicle is braked, calculating the change gradient of the opening degree of the accelerator pedal which the driver wants to make the vehicle start to step down after the vehicle is braked, and obtaining the degree of the driver tending to drive ';
3. and obtaining calibration parameters. And the driver preference analysis module of the remote service management platform compares the characteristic parameters of the driver preference for the specific comfort function obtained by analysis with the corresponding parameter sequence in the function calibration parameter knowledge base module to obtain the function calibration parameters corresponding to the parameter sequence matched with the characteristic parameters. Taking the automatic parking function as an example, analyzing that if the off state accounts for more than 80%, the function is not prone to be used by a driver, and the function power-on default state obtained from the function calibration parameter knowledge base module is off; through analysis, if the obtained average brake master cylinder pressure value is between 5bar and 15bar, the brake operation of a driver is softer or the strength of the driver is weaker, and the master cylinder pressure threshold activated by the function obtained from the function calibration parameter knowledge base module is smaller; through analysis, if the obtained accelerator opening degree change gradient is larger, the situation that a driver pursues aggressive driving experience is indicated, and the exit accelerator opening degree threshold of the function obtained from the function calibration parameter knowledge base module is smaller;
4. and requesting to update the calibration parameters. The driver preference analysis module compares the acquired calibration parameters of the specific function with the parameter values used by the function on the vehicle, if the difference exceeds a set threshold value, the calibration parameters to be updated are sent to a vehicle TBOX through a wireless network, the TBOX stores the calibration parameters in a storage unit, and meanwhile comfort function update requests are sent to a vehicle entertainment host and a mobile phone mobile terminal through a CAN bus and the wireless network respectively; after the vehicle entertainment host receives the request, displaying ' a system optimizes an XX function according to your driving habits and please confirm whether the vehicle needs to be automatically updated after power off ' on a human-computer interface of the vehicle entertainment host '; after the mobile phone terminal receives the request, pushing information on a home page of an APP interface, wherein the system optimizes an XX function according to the driving habit of a user and asks for confirming whether the system needs to be automatically updated after the vehicle is powered off; the entertainment host and the mobile phone terminal keep the synchronization and consistency of the updated information through the information interaction with the TBOX;
5. and updating the calibration parameters. After the updating information is identified by the driver, if updating is selected, the TBOX sends the calibration parameters to the controller to which the function belongs through the CAN bus, the controller automatically finishes parameter updating after power off, and feeds an updating success result back to the TBOX, and the TBOX sends the updating success result to the mobile phone terminal to remind the driver; if 'not updating' is selected, the TBOX feeds information back to the driver preference analysis module, and the driver preference analysis module records parameter information of current planned updating and does not push the parameter information to the TBOX when similar updating parameters are obtained next time.
According to the embodiment of the invention, the driving preference of the driver is subjected to big data analysis through the remote management service platform, and the driver preference parameters related to the specific comfort function are extracted, so that targeted preference information is obtained for each driver; according to the embodiment of the invention, the performance of the vehicle comfort function can be updated according to the preference of the driver after the driver drives for a period of time, so that the vehicle performance is more in line with the use habit of the driver, the current situation that the driver is passively adapted to the vehicle is changed to a certain extent, and the driving experience of the driver can be greatly improved.
For a particular comfort function, the calibration parameters of the different manufacturer-defined functions are different, as are the vehicle signals associated with these calibration parameters that characterize the driver's driving preferences.
According to the technical scheme of the embodiment, the driving information is collected; determining the use preference information of the user on the target function according to the driving information; and determining target calibration parameters corresponding to the target functions according to the use preference information of the users for the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters so as to realize the analysis of the driving habits and preferences of the drivers automatically at the background without contacting the drivers and interfering the normal driving of the drivers, and setting exclusive calibration parameters for each driver to meet the diversified requirements of the terminal users.
Example two
Fig. 2 is a schematic structural diagram of a parameter calibration apparatus according to a second embodiment of the present invention. The present embodiment may be applicable to the parameter calibration, the apparatus may be implemented in a software and/or hardware manner, and the apparatus may be integrated in any device providing a parameter calibration function, as shown in fig. 2, where the parameter calibration apparatus specifically includes: an acquisition module 210, a determination module 220, and an update module 230.
The acquisition module 210 is configured to acquire driving information;
a determining module 220, configured to determine, according to the driving information, usage preference information of the target function by the user;
an updating module 230, configured to determine, according to the usage preference information of the target function by the user, a target calibration parameter corresponding to the target function, and update the calibration parameter of the target function according to the target calibration parameter.
Optionally, collecting driving information includes:
a CAN signal representing a driver's preference for use of a target function is acquired.
The product can execute the method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method.
According to the technical scheme of the embodiment, the driving information is collected; determining the use preference information of the user on the target function according to the driving information; and determining target calibration parameters corresponding to the target functions according to the use preference information of the users for the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters so as to realize the analysis of the driving habits and preferences of the drivers automatically at the background without contacting the drivers and interfering the normal driving of the drivers, and setting exclusive calibration parameters for each driver to meet the diversified requirements of the terminal users.
EXAMPLE III
Fig. 3 is a schematic structural diagram of a computer device in a third embodiment of the present invention. FIG. 3 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 3 is only an example and should not impose any limitation on the scope of use or functionality of embodiments of the present invention.
As shown in FIG. 3, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system Memory 28 may include computer system readable media in the form of volatile Memory, such as Random Access Memory (RAM) 30 and/or cache Memory 32. Computer device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 3 and commonly referred to as a "hard drive"). Although not shown in FIG. 3, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (a Compact disk-Read Only Memory (CD-ROM)), Digital Video disk (DVD-ROM), or other optical media may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the parameter calibration method provided by the embodiment of the present invention:
collecting driving information;
determining the use preference information of the user on the target function according to the driving information;
and determining target calibration parameters corresponding to the target functions according to the use preference information of the user on the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters.
Example four
A fourth embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the parameter calibration method provided in all the embodiments of the present invention:
collecting driving information;
determining the use preference information of the user on the target function according to the driving information;
and determining target calibration parameters corresponding to the target functions according to the use preference information of the user on the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters.
Any combination of one or more computer-readable media may be employed. The computer readable medium may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
In some embodiments, the clients, servers may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may interconnect with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to: receiving a source text input by a user, and translating the source text into a target text corresponding to a target language; acquiring historical correction behaviors of the user; and correcting the target text according to the historical correction behaviors to obtain a translation result, and pushing the translation result to a client where the user is located.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), system on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. Those skilled in the art will appreciate that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements and substitutions will now be apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (8)
1. A parameter calibration method is characterized by comprising the following steps:
collecting driving information;
determining the use preference information of the user on the target function according to the driving information;
determining target calibration parameters corresponding to the target functions according to the use preference information of the user on the target functions, and updating the calibration parameters of the target functions according to the target calibration parameters;
updating the calibration parameters of the target function according to the target calibration parameters comprises:
acquiring a current calibration parameter corresponding to a target function;
if the difference value between the target calibration parameter and the current calibration parameter is larger than a set difference value threshold, sending the target calibration parameter to a vehicle TBOX so that the vehicle TBOX stores the target calibration parameter;
sending a target function updating request to a vehicle entertainment host and/or a target mobile terminal through a CAN bus and/or a wireless network;
the calibration parameter updating comprises the following steps: after the updating information is identified by the driver, if updating is selected, the TBOX sends the calibration parameters to the controller to which the function belongs through the CAN bus, the controller automatically completes parameter updating after power off, the updating success result is fed back to the TBOX, and the TBOX sends the updating success result to the mobile phone mobile terminal to remind the driver; if 'not updating' is selected, the TBOX feeds back information to a driver preference analysis module, and the driver preference analysis module records parameter information of current planned updating and does not push the parameter information to the TBOX when next similar updating parameters are obtained;
determining the usage preference information of the user for the target function according to the driving information includes:
calculating the time ratio of the off state, the standby state and the active state of the working state signal of the automatic parking function to obtain the use frequency of the automatic parking function;
counting the average brake master cylinder pressure value of the vehicle in the preset time before and after each brake;
and calculating the gradient of the change of the opening degree of the accelerator pedal after the vehicle is braked and stopped to obtain the degree of the driver which tends to drive aggressively.
2. The method of claim 1, wherein collecting driving information comprises:
a CAN signal representing a driver's preference for use of a target function is acquired.
3. The method of claim 2, wherein the CAN signal characterizing driver preference for use of the target function comprises: at least one of a vehicle speed signal, a vehicle acceleration signal, a brake signal, an accelerator opening degree signal and a switch signal of a comfort function.
4. The method of claim 1, wherein determining the target calibration parameters corresponding to the target function according to the user preference information on the target function comprises:
and querying a database according to the use preference information of the target function by the user to obtain a target calibration parameter corresponding to the target function.
5. A parameter calibration apparatus, comprising:
the acquisition module is used for acquiring driving information;
the determining module is used for determining the use preference information of the user on the target function according to the driving information;
the updating module is used for determining a target calibration parameter corresponding to the target function according to the use preference information of the user on the target function and updating the calibration parameter of the target function according to the target calibration parameter;
updating the calibration parameters of the target function according to the target calibration parameters comprises:
acquiring a current calibration parameter corresponding to a target function;
if the difference value between the target calibration parameter and the current calibration parameter is larger than a set difference value threshold value, sending the target calibration parameter to a vehicle TBOX so that the vehicle TBOX stores the target calibration parameter;
sending a target function updating request to a vehicle entertainment host and/or a target mobile terminal through a CAN bus and/or a wireless network;
the calibration parameter updating comprises the following steps: after the updating information is identified by the driver, if updating is selected, the TBOX sends the calibration parameters to the controller to which the function belongs through the CAN bus, the controller automatically completes parameter updating after power off, the updating success result is fed back to the TBOX, and the TBOX sends the updating success result to the mobile phone mobile terminal to remind the driver; if 'not updating' is selected, the TBOX feeds back information to a driver preference analysis module, and the driver preference analysis module records parameter information of current planned updating and does not push the parameter information to the TBOX when next similar updating parameters are obtained;
determining the usage preference information of the user for the target function according to the driving information includes:
calculating the time ratio of the off state, the standby state and the active state of the working state signal of the automatic parking function to obtain the use frequency of the automatic parking function;
counting the average brake master cylinder pressure value of the vehicle in the preset time before and after each brake;
and calculating the gradient of the change of the opening degree of the accelerator pedal after the vehicle is braked and stopped to obtain the degree that the driver tends to aggressively drive.
6. The apparatus of claim 5, wherein collecting driving information comprises:
a CAN signal representing a driver's preference for use of a target function is acquired.
7. 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 method according to any of claims 1-4 when executing the program.
8. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-4.
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| CN113127489A (en) * | 2021-04-22 | 2021-07-16 | 京东鲲鹏(江苏)科技有限公司 | Data table updating method and device |
| CN113071497B (en) * | 2021-04-28 | 2022-05-24 | 中国第一汽车股份有限公司 | Driving scene judging method, device, equipment and storage medium |
| CN113619594B (en) * | 2021-08-27 | 2023-11-28 | 中国第一汽车股份有限公司 | Method, device, equipment and medium for determining driving mode of vehicle |
| CN114701460B (en) * | 2022-04-12 | 2023-03-24 | 中国第一汽车股份有限公司 | Power-on and power-off management method and device for electronic parking system, vehicle and storage medium |
| CN115288821B (en) * | 2022-07-25 | 2023-12-15 | 潍柴动力股份有限公司 | Valve clearance adjustment monitoring method and device, electronic equipment and storage medium |
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