CN115596562A - Vehicle power control method, vehicle power control device, electronic device, and storage medium - Google Patents
Vehicle power control method, vehicle power control device, electronic device, and storage medium Download PDFInfo
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D29/00—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto
- F02D29/02—Controlling engines, such controlling being peculiar to the devices driven thereby, the devices being other than parts or accessories essential to engine operation, e.g. controlling of engines by signals external thereto peculiar to engines driving vehicles; peculiar to engines driving variable pitch propellers
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2200/00—Input parameters for engine control
- F02D2200/02—Input parameters for engine control the parameters being related to the engine
- F02D2200/06—Fuel or fuel supply system parameters
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D2200/00—Input parameters for engine control
- F02D2200/50—Input parameters for engine control said parameters being related to the vehicle or its components
- F02D2200/501—Vehicle speed
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Abstract
The application provides a vehicle power control method, a vehicle power control device, an electronic device and a computer readable storage medium; the method comprises the following steps: obtaining sample dynamic characteristics of a vehicle when a sample user drives the vehicle; collecting the power characteristics to be tested of a vehicle when a user to be tested drives the vehicle; determining the relative characteristics to be measured of the dynamic characteristics to be measured relative to the dynamic characteristics of the sample according to the dynamic characteristics of the sample and the dynamic characteristics to be measured; and controlling the power of the vehicle according to the relative characteristics to be detected. Through the application, the vehicle can adapt to the power response requirements of different people.
Description
Technical Field
The present disclosure relates to vehicle control technologies, and in particular, to a vehicle power control method and apparatus, an electronic device, and a computer-readable storage medium.
Background
At present, the power control of the vehicle during steering is generally unified, and anyone drives the vehicle to perform the same power adjustment control. However, people with different driving habits or driving styles have different requirements on power response of vehicle steering, and the prior art cannot adapt to the requirements of different people.
Disclosure of Invention
The embodiment of the application provides a vehicle power control method, a vehicle power control device, electronic equipment and a computer readable storage medium, which can enable a vehicle to adapt to power response requirements of different people.
The technical scheme of the embodiment of the application is realized as follows:
the embodiment of the application provides a vehicle power control method, which comprises the following steps:
obtaining sample power characteristics of a vehicle when a sample user drives the vehicle;
collecting the power characteristics to be tested of a vehicle when a user to be tested drives the vehicle;
determining the relative characteristics to be measured of the dynamic characteristics to be measured relative to the dynamic characteristics of the sample according to the dynamic characteristics of the sample and the dynamic characteristics to be measured;
and controlling the power of the vehicle according to the relative characteristics to be detected.
In the above scheme, the obtaining of the sample dynamic characteristics of the vehicle when the user drives the vehicle includes:
obtaining sample data of a vehicle at a plurality of sampling times when a sample user drives the vehicle, wherein the sample data comprises a sample vehicle speed, a sample accelerator opening and a sample accelerator opening change rate;
constructing a first data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening, and constructing a second data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening;
determining the sample dynamic characteristics from the first data set and the second data set.
In the foregoing solution, the determining the sample dynamic characteristics according to the first data set and the second data set includes:
performing density clustering processing on the first data set by using a density clustering algorithm to obtain first boundary data of the first data set, and performing density clustering processing on the second data set by using a density clustering algorithm to obtain second boundary data of the second data set;
and determining the sample dynamic characteristics according to the first boundary data and the second boundary data.
In the foregoing aspect, the determining the sample dynamics characteristic according to the first boundary data and the second boundary data includes:
determining a first amount of first data in the first data set that is outside the first boundary data, and determining a second amount of first data in the first data set;
calculating a first ratio of the first quantity to the second quantity;
determining a third amount of second data in the second data set outside the second boundary data and determining a fourth amount of second data in the second data set;
calculating a second ratio of the third quantity to the fourth quantity;
and taking the first ratio as the first sample characteristic, and taking the second ratio as the second sample characteristic.
In the foregoing solution, the to-be-detected power feature includes a first to-be-detected feature and a second to-be-detected feature, and determining, according to the sample power feature and the to-be-detected power feature, a to-be-detected relative feature of the to-be-detected power feature with respect to the sample power feature includes:
calculating a third ratio of the first to-be-detected feature to the first sample feature, and calculating a fourth ratio of the second to-be-detected feature to the second sample feature;
and determining the relative characteristics to be detected according to the third ratio and the fourth ratio.
In the foregoing solution, the determining the relative feature to be detected according to the third ratio and the fourth ratio includes:
acquiring a first confidence parameter and a second confidence parameter;
calculating a first product of the first confidence parameter and the third ratio, and calculating a second product of the second confidence parameter and the fourth ratio;
and summing the first product and the second product to obtain the relative feature to be detected.
In the above-mentioned scheme, according to the relative characteristic that awaits measuring, control the power of vehicle includes:
obtaining the corresponding relation between the relative characteristics and the correction parameters;
determining a target correction parameter corresponding to the relative feature to be detected according to the relative feature to be detected and the corresponding relation between the relative feature and the correction parameter;
and adjusting the torque of the vehicle according to the target correction parameter so as to control the power of the vehicle.
The embodiment of the present application provides a vehicle power control device, includes:
the obtaining module is used for obtaining sample dynamic characteristics of the vehicle when a sample user drives the vehicle;
the acquisition module is used for acquiring the power characteristics to be detected of the vehicle when the user to be detected drives the vehicle;
the determining module is used for determining the relative characteristics to be measured of the power characteristics to be measured relative to the sample power characteristics according to the sample power characteristics and the power characteristics to be measured;
and the control module is used for controlling the power of the vehicle according to the relative characteristics to be detected.
An embodiment of the present application provides an electronic device, including:
a memory for storing executable instructions;
and the processor is used for realizing the vehicle power control method provided by the embodiment of the application when executing the executable instructions stored in the memory.
The embodiment of the application provides a computer-readable storage medium, which stores executable instructions and is used for causing a processor to execute the executable instructions so as to realize the vehicle power control method provided by the embodiment of the application.
According to the embodiment of the application, the sample dynamic characteristics of the vehicle when a user drives the vehicle are obtained; collecting the power characteristics to be tested of a vehicle when a user to be tested drives the vehicle; determining the relative characteristics to be measured of the dynamic characteristics to be measured relative to the dynamic characteristics of the sample according to the dynamic characteristics of the sample and the dynamic characteristics to be measured; and controlling the power of the vehicle according to the relative characteristics to be detected, so that the vehicle can adapt to the power response requirements of different people.
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Fig. 1 is an alternative schematic structural diagram of an electronic device 100 provided in an embodiment of the present application;
FIG. 2 is a schematic flow chart diagram illustrating an alternative method for controlling vehicle power provided by an embodiment of the present application;
FIG. 3 is a schematic diagram illustrating an alternative detailed flow of step 201 provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of an alternative detailed flow chart of step 303 provided in the embodiment of the present application;
FIG. 5 is a schematic diagram illustrating an alternative detailed flow of step 402 provided by an embodiment of the present application;
FIG. 6 is a schematic diagram of an alternative detailed flow of step 203 provided by the embodiment of the present application;
FIG. 7 is a schematic diagram illustrating an alternative flowchart of step 602 provided by an embodiment of the present application;
fig. 8 is a schematic diagram of an alternative detailed flow of step 204 provided in this embodiment of the present application.
Detailed Description
In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be described in further detail with reference to the attached drawings, the described embodiments should not be considered as limiting the present application, and all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present application.
In the following description, reference is made to "some embodiments" which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict.
In the following description, references to the terms "first \ second \ third" are only to distinguish similar objects and do not denote a particular order, but rather the terms "first \ second \ third" are used to interchange specific orders or sequences, where appropriate, so as to enable the embodiments of the application described herein to be practiced in other than the order shown or described herein.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein is for the purpose of describing embodiments of the present application only and is not intended to be limiting of the application.
The embodiment of the application provides a vehicle power control method, a vehicle power control device, electronic equipment and a computer readable storage medium, which can enable a vehicle to adapt to power response requirements of different people.
First, an electronic device provided in an embodiment of the present application for implementing the vehicle power control method will be described. Referring to fig. 1, fig. 1 is an optional structural schematic diagram of an electronic device 100 provided in the embodiment of the present application, and in practical applications, the electronic device 100 may be implemented as a vehicle controller. The electronic device 100 shown in fig. 1 includes: at least one processor 101, memory 105, at least one network interface 102, and a user interface 103. The various components in electronic device 100 are coupled together by a bus system 104. It is understood that the bus system 104 is used to enable connected communication between these components. The bus system 104 includes a power bus, a control bus, and a status signal bus in addition to a data bus. For clarity of illustration, however, the various buses are labeled as bus system 104 in FIG. 1.
The Processor 101 may be an integrated circuit chip having Signal processing capabilities, such as a general purpose Processor, a Digital Signal Processor (DSP), or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like, wherein the general purpose Processor may be a microprocessor or any conventional Processor, or the like.
The user interface 103 includes one or more output devices 1031 that enable presentation of media content, including one or more speakers and/or one or more visual display screens. The user interface 103 also includes one or more input devices 1032 including user interface components to facilitate user input, such as a keyboard, mouse, microphone, touch screen display screen, camera, other input buttons, and controls.
The memory 105 may be removable, non-removable, or a combination thereof. Exemplary hardware devices include solid state memory, hard disk drives, optical disk drives, and the like. Memory 105 optionally includes one or more storage devices physically located remote from processor 101.
The memory 105 includes volatile memory or nonvolatile memory, and may also include both volatile and nonvolatile memory. The nonvolatile Memory may be a Read Only Memory (ROM), and the volatile Memory may be a Random Access Memory (RAM). The memory 105 described in embodiments herein is intended to comprise any suitable type of memory.
In some embodiments, the memory 105 is capable of storing data to support various operations, examples of which include programs, modules, and data structures, or subsets or supersets thereof, in embodiments of the present application, the memory 105 having stored therein an operating system 1051, a network communication module 1052, a presentation module 1053, an input processing module 1054, and a vehicle dynamics control device 1055; in particular, the amount of the solvent to be used,
an operating system 1051 including system programs for handling various basic system services and performing hardware related tasks, such as a framework layer, a core library layer, a driver layer, etc., for implementing various basic services and for handling hardware-based tasks;
a network communication module 1052 for communicating to other computing devices via one or more (wired or wireless) network interfaces 102, exemplary network interfaces 102 including: bluetooth, wireless compatibility authentication (WiFi), and Universal Serial Bus (USB), etc.;
a presentation module 1053 for enabling presentation of information (e.g., a user interface for operating peripherals and displaying content and information) via one or more output devices 1031 (e.g., display screen, speakers, etc.) associated with user interface 103;
an input processing module 1054 for detecting one or more user inputs or interactions from one of the one or more input devices 1032 and translating the detected inputs or interactions.
In some embodiments, the vehicle power control device provided by the embodiments of the present application may be implemented in software, and fig. 1 shows a vehicle power control device 1055 stored in the memory 105, which may be software in the form of programs and plug-ins, etc., and includes the following software modules: an obtaining module 10551, an acquisition module 10552, a determination module 10553, and a control module 10554, which are logical and thus can be arbitrarily combined or further separated depending on the functions implemented. The functions of the respective modules will be explained below.
In other embodiments, the vehicle power control Device provided in the embodiments of the present Application may be implemented in hardware, and for example, the vehicle power control Device provided in the embodiments of the present Application may be a processor in the form of a hardware decoding processor, which is programmed to execute the vehicle power control method provided in the embodiments of the present Application, for example, the processor in the form of the hardware decoding processor may be one or more Application Specific Integrated Circuits (ASICs), DSPs, programmable Logic Devices (PLDs), complex Programmable Logic Devices (CPLDs), field Programmable Gate Arrays (FPGAs), or other electronic components.
The vehicle power control method provided by the embodiment of the application is described in connection with the exemplary application and implementation of the terminal provided by the embodiment of the application.
Referring to fig. 2, fig. 2 is an alternative flow chart of a vehicle power control method provided by the embodiment of the present application, which will be described with reference to the steps shown in fig. 2.
and 204, controlling the power of the vehicle according to the relative characteristics to be detected.
In actual implementation, sample dynamic characteristics of a user while driving a vehicle are obtained. For example, a driver with a regular driving habit may be selected and sample dynamic characteristics of the driver during driving of the vehicle may be obtained.
Specifically, in some embodiments, referring to fig. 3, fig. 3 is an optional detailed flowchart of step 201 provided in this embodiment, and step 201 may be implemented as follows:
step 301, obtaining sample data of a vehicle at a plurality of sampling times when a sample user drives the vehicle, wherein the sample data comprises a sample vehicle speed, a sample accelerator opening and a sample accelerator opening change rate;
In actual implementation, sample vehicle speed, sample accelerator opening and sample accelerator opening change rate signals of a sample user in the vehicle driving process are collected. The driving scene comprises urban areas, suburbs and high speed, and the vehicle speed coverage range is from 0 to 120km/h. The acquisition conditions are that the gear is D and the opening degree of an accelerator is more than 0. The sample throttle opening change rate is obtained through sample throttle opening change rate signal calculation. The sample data includes a plurality of sample data points, one sample data point corresponding to a point in time. Here, the first data in the first data set is a data point composed of two-dimensional data such as a sample vehicle speed and a sample accelerator opening. The second data in the second data set are data points composed of two-dimensional data such as a sample vehicle speed and a sample throttle opening change rate.
In some embodiments, referring to fig. 4, fig. 4 is an optional detailed flowchart of step 303 provided in the embodiments of the present application, and step 303 may be implemented by:
In practical implementation, a density clustering method (DBSCAN) is adopted for data analysis. And respectively establishing first boundary data consisting of the sample vehicle speed and the sample accelerator opening and second boundary data consisting of the sample vehicle speed and the sample accelerator opening. Here, the first boundary data and the second boundary data may each constitute a boundary line, the first boundary data corresponding to the first boundary line, and the second boundary data corresponding to the second boundary line. Specifically, in the embodiment of the present application, when the number of points in the range of the radius Eps centered on the point (Vn, pn) is less than the set minimum number of points minP, the boundary line is determined.
In some embodiments, the sample dynamic characteristics include a first sample characteristic and a second sample characteristic, see fig. 5, fig. 5 is an optional detailed flow diagram of step 402 provided in the embodiments of the present application, and step 402 can be implemented as follows:
and 505, taking the first ratio as the first sample characteristic, and taking the second ratio as the second sample characteristic.
In actual implementation, a first amount of first data in the first data set that is outside the first boundary data is determined, and a second amount of first data in the first data set is determined. Specifically, the first boundary data forms a first boundary line, a first number of first data and a second number of first data which are outside the first boundary line are counted, and an entropy value Ra1 (i.e., a first ratio) is calculated, where Ra1= first number/second number. At the same time, a third amount of second data in the second data set outside the second boundary data is determined, and a fourth amount of second data in the second data set is determined. Specifically, the second boundary data forms a second boundary line, counts a third amount of second data and a fourth amount of second data that are outside the second boundary line, calculates an entropy value Ra2 (i.e., a second ratio), and Ra2= the third amount/the fourth amount. Specifically, ra1 is taken as the first sample feature, and Ra2 is taken as the second sample feature. Illustratively, the first boundary data is exemplified as follows:
the second boundary data is exemplified as follows:
in some embodiments, the power feature to be measured includes a first feature to be measured and a second feature to be measured, referring to fig. 6, fig. 6 is an optional detailed flowchart of step 203 provided in this embodiment of the present application, and step 203 may be implemented by:
Here, the dynamic characteristics to be measured are obtained in the same manner as the sample dynamic characteristics. The first characteristic to be measured and the first sample characteristic are obtained in the same mode, and the second characteristic to be measured and the second sample characteristic are obtained in the same mode. In actual implementation, driving data of a current driver in the process of driving the vehicle is acquired. The driving data includes a vehicle speed, an accelerator opening, and a throttle opening change rate. The vehicle speed and the accelerator opening are obtained through direct acquisition, and the accelerator opening change rate is obtained through acquiring an accelerator opening change rate signal and calculating the accelerator opening change rate signal. Here, the acquisition conditions are that the gear is D, and the accelerator opening is > 0. Specifically, a third data set is constructed according to the corresponding relation between the vehicle speed and the accelerator opening degree, and a fourth data set is constructed according to the corresponding relation between the vehicle speed and the accelerator opening degree change rate. Here, the third data in the third data set is a data point composed of two-dimensional data such as a speed and an accelerator opening. The fourth data in the fourth data set is a data point composed of two-dimensional data such as a velocity and a throttle opening change rate. And then, determining the power characteristics to be measured according to the third data set and the fourth data set. Then, according to the same method as the above-mentioned embodiment of the present application, third boundary data corresponding to the third data set is constructed, and fourth boundary data corresponding to the fourth data set is constructed. When the point number of the driving data points in the collected driving data is larger than the set lowest point number, the calculation of the entropy values Rb1 and Rb2 is started, wherein Rb1= the point number of the third data except the third boundary data/the total point number of the third data, and Rb2= the point number of the fourth data except the fourth boundary data/the total point number of the fourth data. Then, a third ratio of the first to-be-detected feature to the first sample feature is calculated, a fourth ratio of the second to-be-detected feature to the second sample feature is calculated, and the to-be-detected relative feature is determined according to the third ratio and the fourth ratio.
In some embodiments, referring to fig. 7, fig. 7 is an optional detailed flowchart of step 602 provided in the embodiments of the present application, and step 602 may be implemented as follows:
and 703, summing the first product and the second product to obtain the relative feature to be detected.
In practical implementation, the relative feature to be measured is the sum of a first product and a second product, the first product is the product of the first confidence parameter and the third ratio, and the second product is the product of the second confidence parameter and the fourth ratio. Illustratively, an evaluation coefficient theta (namely the relative feature to be measured) is defined, theta = a Rb1/Ra1+ b Rb2/Ra2, wherein a represents the confidence degree of the throttle opening degree (namely a first confidence parameter), rb1/Ra1 is a third ratio, b represents the confidence degree of the change rate of the throttle opening degree (namely a second confidence parameter), a and b range values are 0-1, a + b =1, b > a, rb1/Ra1 is a third ratio, and Rb2/Ra2 is a fourth ratio. The evaluation coefficient theta is used as the driving habit characteristics of a driver, and the larger the value of theta is, the more aggressive the driving habit is, and the demand on power is higher; the smaller the value of theta, the smoother the driving habit, and the higher the power demand.
In some embodiments, referring to fig. 8, fig. 8 is an optional detailed flowchart of step 204 provided in the embodiments of the present application, and step 204 may be implemented as follows:
and 803, adjusting the torque of the vehicle according to the target correction parameter so as to control the power of the vehicle.
In actual implementation, the corresponding relation between the relative characteristics and the correction parameters is obtained, corresponding target correction parameters are determined according to the corresponding relation and the relative characteristics to be measured, and the distortion of the vehicle is adjusted according to the target correction parameters. Here, post-correction required torque = pre-correction required torque ×. Target correction parameter. The pre-correction required torque refers to a torque defined in accordance with the magnitude of the accelerator opening, which is conventionally referred to as pedal MAP torque. The corrected required torque has different required values depending on the vehicle type. Exemplarily, with powertrain capacity as a boundary, for traditional vehicle models, it is typically the engine-out characteristic; for a pure electric vehicle, the minimum value of the external characteristics of the motor and the maximum allowable charge and discharge power of a battery is usually adopted; and for the hybrid vehicle type, the power coupling condition is determined.
According to the embodiment of the application, the sample dynamic characteristics of the vehicle when a user drives the vehicle are obtained; collecting the power characteristics to be tested of a vehicle when a user to be tested drives the vehicle; determining the relative characteristics to be measured of the dynamic characteristics to be measured relative to the dynamic characteristics of the sample according to the dynamic characteristics of the sample and the dynamic characteristics to be measured; and controlling the power of the vehicle according to the relative characteristics to be detected, so that the vehicle can adapt to the power response requirements of different people.
Continuing with the exemplary structure of the vehicle dynamics control apparatus 1055 provided in the embodiments of the present application as software modules, in some embodiments, as shown in fig. 1, the software modules stored in the vehicle dynamics control apparatus 1055 of the memory 105 may include:
an obtaining module 10551 for obtaining sample dynamic characteristics of a vehicle when a sample user is driving the vehicle;
the acquisition module 10552 is used for acquiring the power characteristics to be detected of the vehicle when the user to be detected drives the vehicle;
a determining module 10553, configured to determine, according to the sample power characteristic and the to-be-measured power characteristic, a to-be-measured relative characteristic of the to-be-measured power characteristic with respect to the sample power characteristic;
and the control module 10554 is used for controlling the power of the vehicle according to the relative characteristics to be measured.
In some embodiments, the obtaining module 10551 is further configured to obtain sample data of the vehicle at a plurality of sampling times while the vehicle is driven by the sample user, the sample data including a sample vehicle speed, a sample throttle opening, and a sample throttle opening change rate; constructing a first data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening, and constructing a second data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening; determining the sample dynamic characteristics from the first data set and the second data set.
In some embodiments, the obtaining module 10551 is further configured to perform density clustering on the first data set by using a density clustering algorithm to obtain first boundary data of the first data set, and perform density clustering on the second data set by using a density clustering algorithm to obtain second boundary data of the second data set; and determining the sample dynamic characteristics according to the first boundary data and the second boundary data.
In some embodiments, the sample dynamics characteristics include a first sample characteristic and a second sample characteristic, the obtaining module 10551 further configured to determine a first amount of first data in the first data set that is outside the first boundary data and determine a second amount of first data in the first data set; calculating a first ratio of the first quantity to the second quantity; determining a third amount of second data in the second data set outside the second boundary data and determining a fourth amount of second data in the second data set; calculating a second ratio of the third number to the fourth number; and taking the first ratio as the first sample characteristic, and taking the second ratio as the second sample characteristic.
In some embodiments, the to-be-measured power feature includes a first to-be-measured feature and a second to-be-measured feature, and the determining module 10553 is further configured to calculate a third ratio of the first to-be-measured feature to the first sample feature and calculate a fourth ratio of the second to-be-measured feature to the second sample feature; and determining the relative features to be detected according to the third ratio and the fourth ratio.
In some embodiments, the determining module 10553 is further configured to obtain a first confidence parameter and a second confidence parameter; calculating a first product of the first confidence parameter and the third ratio, and calculating a second product of the second confidence parameter and the fourth ratio; and summing the first product and the second product to obtain the relative feature to be detected.
In some embodiments, the control module 10554 is further configured to obtain a corresponding relationship between the relative characteristics and the correction parameters; determining a target correction parameter corresponding to the relative feature to be detected according to the relative feature to be detected and the corresponding relation between the relative feature and the correction parameter; and adjusting the torque of the vehicle according to the target correction parameter so as to control the power of the vehicle.
It should be noted that the description of the apparatus in the embodiment of the present application is similar to that of the method embodiment described above, and has similar beneficial effects to the method embodiment, and therefore, the description is not repeated.
Embodiments of the present application provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the vehicle power control method according to the embodiment of the present application.
Embodiments of the present application provide a computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform a vehicle power control method provided by embodiments of the present application.
In some embodiments, the computer-readable storage medium may be memory such as FRAM, ROM, PROM, EPROM, EEPROM, flash, magnetic surface memory, optical disk, or CD-ROM; or may be various devices including one or any combination of the above memories.
In some embodiments, executable instructions may be written in any form of programming language (including compiled or interpreted languages), in the form of programs, software modules, scripts or code, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
By way of example, executable instructions may, but need not, correspond to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts stored in a hypertext markup language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
In conclusion, the vehicle can adapt to the power response requirements of different people through the embodiment of the application.
The above description is only an example of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, and improvement made within the spirit and scope of the present application are included in the protection scope of the present application.
Claims (10)
1. A vehicle power control method characterized by comprising:
obtaining sample dynamic characteristics of a vehicle when a sample user drives the vehicle;
collecting the power characteristics to be tested of a vehicle when a user to be tested drives the vehicle;
determining the relative characteristics to be measured of the dynamic characteristics to be measured relative to the dynamic characteristics of the sample according to the dynamic characteristics of the sample and the dynamic characteristics to be measured;
and controlling the power of the vehicle according to the relative characteristics to be detected.
2. The method of claim 1, wherein obtaining a sample power signature of a vehicle as a user drives the vehicle comprises:
obtaining sample data of a vehicle at a plurality of sampling times when a sample user drives the vehicle, wherein the sample data comprises a sample vehicle speed, a sample accelerator opening and a sample accelerator opening change rate;
constructing a first data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening, and constructing a second data set according to the corresponding relation between the sample vehicle speed and the sample accelerator opening;
determining the sample dynamic characteristics from the first data set and the second data set.
3. The method of claim 2, wherein determining the sample dynamics profile from the first data set and the second data set comprises:
performing density clustering processing on the first data set by using a density clustering algorithm to obtain first boundary data of the first data set, and performing density clustering processing on the second data set by using a density clustering algorithm to obtain second boundary data of the second data set;
and determining the sample dynamic characteristics according to the first boundary data and the second boundary data.
4. The method of claim 2, wherein the sample dynamics includes a first sample dynamics and a second sample dynamics, and wherein determining the sample dynamics based on the first boundary data and the second boundary data comprises:
determining a first amount of first data in the first data set that is outside the first boundary data, and determining a second amount of first data in the first data set;
calculating a first ratio of the first quantity to the second quantity;
determining a third amount of second data in the second data set outside the second boundary data and determining a fourth amount of second data in the second data set;
calculating a second ratio of the third quantity to the fourth quantity;
and taking the first ratio as the first sample characteristic, and taking the second ratio as the second sample characteristic.
5. The method according to claim 4, wherein the power feature to be measured comprises a first power feature to be measured and a second power feature to be measured, and the determining the relative feature to be measured of the power feature to be measured relative to the power feature of the sample according to the power feature of the sample and the power feature to be measured comprises:
calculating a third ratio of the first feature to be measured to the first sample feature, and calculating a fourth ratio of the second feature to be measured to the second sample feature;
and determining the relative features to be detected according to the third ratio and the fourth ratio.
6. The method of claim 4, wherein determining the relative feature to be measured according to the third ratio and the fourth ratio comprises:
acquiring a first confidence parameter and a second confidence parameter;
calculating a first product of the first confidence parameter and the third ratio, and calculating a second product of the second confidence parameter and the fourth ratio;
and summing the first product and the second product to obtain the relative feature to be detected.
7. The method of claim 1, wherein said controlling the power of the vehicle based on said relative characteristic to be measured comprises:
obtaining the corresponding relation between the relative characteristics and the correction parameters;
determining a target correction parameter corresponding to the relative feature to be detected according to the relative feature to be detected and the corresponding relation between the relative feature and the correction parameter;
and adjusting the torque of the vehicle according to the target correction parameter so as to control the power of the vehicle.
8. A vehicle power control apparatus characterized by comprising:
the obtaining module is used for obtaining sample dynamic characteristics of the vehicle when a sample user drives the vehicle;
the acquisition module is used for acquiring the power characteristics to be detected of the vehicle when the user to be detected drives the vehicle;
the determining module is used for determining the to-be-detected relative characteristics of the to-be-detected power characteristics relative to the sample power characteristics according to the sample power characteristics and the to-be-detected power characteristics;
and the control module is used for controlling the power of the vehicle according to the relative characteristics to be detected.
9. An electronic device, comprising:
a memory for storing executable instructions;
a processor for implementing the vehicle power control method of any one of claims 1 to 7 when executing executable instructions stored in the memory.
10. A computer readable storage medium storing executable instructions for implementing the vehicle power control method of any one of claims 1 to 7 when executed by a processor.
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| JPH04203430A (en) * | 1990-11-30 | 1992-07-24 | Honda Motor Co Ltd | Power control device for vehicle |
| JPH09287488A (en) * | 1996-04-17 | 1997-11-04 | Fujitsu Ten Ltd | Throttle valve control device |
| WO2020177571A1 (en) * | 2019-03-05 | 2020-09-10 | 阿里巴巴集团控股有限公司 | Method and device for establishing longitudinal motion model of vehicle, and computer system |
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| CN115230701A (en) * | 2022-02-25 | 2022-10-25 | 长城汽车股份有限公司 | Severe starting auxiliary control method and device, readable storage medium and vehicle |
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| JPH04203430A (en) * | 1990-11-30 | 1992-07-24 | Honda Motor Co Ltd | Power control device for vehicle |
| JPH09287488A (en) * | 1996-04-17 | 1997-11-04 | Fujitsu Ten Ltd | Throttle valve control device |
| WO2020177571A1 (en) * | 2019-03-05 | 2020-09-10 | 阿里巴巴集团控股有限公司 | Method and device for establishing longitudinal motion model of vehicle, and computer system |
| CN115230701A (en) * | 2022-02-25 | 2022-10-25 | 长城汽车股份有限公司 | Severe starting auxiliary control method and device, readable storage medium and vehicle |
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