A method and device for determining a driving state of a vehicle, an electronic device, and a medium

Abstract

This invention discloses a method, apparatus, electronic device, and medium for determining a vehicle's driving state. The method includes: acquiring the target vehicle's current speed and acceleration, and determining a first target value based on the speed and acceleration, whereby the first target value represents the driving intensity of the target vehicle at the current moment; determining a second target value corresponding to the speed based on the speed and a preset benchmark function, whereby the second target value represents a preset driving intensity corresponding to the target vehicle's speed; and determining the target vehicle's target driving state based on a comparison of the first and second target values. This invention solves the problem of significant deviations in analysis results caused by manual analysis of driving habits, achieving accurate and automatic analysis of driving habits and determining the vehicle's driving state.

Description

Technical Field

[0001] This invention relates to the field of driving state analysis, and more particularly to a method, apparatus, electronic device, and medium for determining the driving state of a vehicle. Background Technology

[0002] During vehicle operation, different driving habits will have varying degrees of impact on vehicle performance, fuel consumption, and emissions. Therefore, it is generally necessary to analyze the driver's operating habits in order to better adjust driving habits and optimize vehicle performance.

[0003] Currently, there is no clear, quantifiable method for analyzing driver operating habits; it relies solely on subjective feelings, which leads to significant variability. Furthermore, this subjective evaluation method cannot be fed back into the system, is not easily displayed, and cannot be continuously optimized automatically. Therefore, more accurate analysis of driver operating habits is a pressing issue. Summary of the Invention

[0004] This invention provides a method, apparatus, electronic device, and medium for determining the driving state of a vehicle, so as to accurately determine the driving state of the vehicle.

[0005] According to one aspect of the present invention, a method for determining the driving state of a vehicle is provided, comprising:

[0006] The driving speed and acceleration of the target vehicle at the current moment are obtained, and a first target value is determined based on the driving speed and the driving acceleration. The first target value represents the driving intensity of the target vehicle at the current moment.

[0007] Based on the driving speed and a preset benchmark function, a second target value corresponding to the driving speed is determined. The second target value represents the preset driving intensity level when the target vehicle is driving at the driving speed.

[0008] Based on the comparison results of the first target value and the second target value, the target driving state of the target vehicle is determined.

[0009] According to another aspect of the present invention, a vehicle driving state determination device is provided, comprising:

[0010] The first target value determination module is used to obtain the driving speed and driving acceleration of the target vehicle at the current moment, and determine a first target value based on the driving speed and driving acceleration. The first target value represents the driving intensity of the target vehicle at the current moment.

[0011] The second target value determination module is used to determine a second target value corresponding to the driving speed based on the driving speed and a preset benchmark function. The second target value represents the preset driving intensity level corresponding to the driving speed of the target vehicle.

[0012] The target driving state determination module is used to determine the target driving state of the target vehicle based on the comparison result of the first target value and the second target value.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory communicatively connected to the at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the vehicle driving state determination method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the method for determining the vehicle driving state according to any embodiment of the present invention.

[0018] The technical solution of this invention obtains the driving speed and acceleration of the target vehicle at the current moment, and determines a first target value based on the driving speed and acceleration, the first target value representing the driving intensity of the target vehicle at the current moment; based on the driving speed and a preset benchmark function, determines a second target value corresponding to the driving speed, the second target value representing the preset driving intensity corresponding to the target vehicle driving at the driving speed; based on the comparison result of the first target value and the second target value, the target driving state of the target vehicle is determined. This solves the problem that the analysis results are greatly biased due to manual analysis of driving habits, and realizes accurate and automatic analysis of driving habits to determine the driving state of the vehicle.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 This is a flowchart of a method for determining the driving state of a vehicle according to Embodiment 1 of the present invention;

[0022] Figure 2 This is the reference empirical curve applicable to Embodiment 2 of the present invention;

[0023] Figure 3 This is the architecture diagram applicable to Embodiment 2 of the present invention;

[0024] Figure 4 This is a schematic diagram of the structure of a vehicle driving state determination device provided in Embodiment 3 of the present invention;

[0025] Figure 5 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. Detailed Implementation

[0026] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0028] Example 1

[0029] Figure 1This is a flowchart of a method for determining a vehicle driving state according to Embodiment 1 of the present invention. This embodiment is applicable to situations where a user is driving a vehicle and the driving state is analyzed. This method can be executed by a device, which can be implemented in hardware and / or software. This vehicle driving state determination device can be configured in various vehicles. Figure 1 As shown, the method includes:

[0030] S110. Obtain the driving speed and acceleration of the target vehicle at the current moment, and determine a first target value based on the driving speed and the driving acceleration, wherein the first target value represents the driving intensity of the target vehicle at the current moment.

[0031] Among them, the target vehicle refers to the vehicle whose driving status needs to be determined at present, which can be aggressive driving or gentle driving; the driving speed refers to the speed of the target vehicle on the road at the current moment; the driving acceleration refers to the acceleration of the vehicle at the current moment; the first target value can be a value calculated based on the driving speed and acceleration, used to represent the degree of aggressiveness of the user driving the target vehicle.

[0032] Specifically, when it is necessary to determine the driving status of a target vehicle, a device specifically designed to collect the target vehicle's speed and acceleration can be used to obtain the vehicle's speed and acceleration. The corresponding first target value can be calculated using the speed and acceleration. The first target value can measure the driving intensity of the target vehicle at the current moment, that is, the driving behavior is quantified using speed and acceleration.

[0033] Based on the above technical solution, the step of obtaining the target vehicle's current speed and acceleration, and determining a first target value based on the speed and acceleration, includes: if the target vehicle is a manual transmission vehicle, obtaining the target vehicle's speed and acceleration based on the vehicle speed sensor; if the target vehicle is an automatic transmission vehicle, obtaining the target vehicle's speed and acceleration based on the automatic transmission control unit; and determining the first target value corresponding to the target vehicle at the current moment based on the product of the speed and acceleration.

[0034] In this embodiment, different methods can be used to obtain driving acceleration for different vehicle models. If the target vehicle is a manual transmission vehicle, the speed and acceleration of the target vehicle at the current moment can be collected by the vehicle speed sensor as the driving speed and driving acceleration of the target vehicle. If the target vehicle is an automatic transmission vehicle, communication with the automatic transmission control unit can be established in advance, and the driving speed and driving acceleration of the target vehicle of the automatic transmission model can be obtained directly through the above communication channel when it is necessary to obtain the driving speed and driving acceleration of the target vehicle of the automatic transmission model.

[0035] S120. Based on the driving speed and a preset benchmark function, determine a second target value corresponding to the driving speed. The second target value represents the preset driving intensity level corresponding to the target vehicle driving at the driving speed.

[0036] The preset benchmark function can be a pre-established function used to characterize the correspondence between different driving speeds and preset driving intensity levels, while the driving intensity level can be represented by a second target value.

[0037] It is understandable that the preset benchmark function can be represented as a curve on a coordinate graph, with the driving speed as the coordinate on the horizontal axis and the second target value as the coordinate on the vertical axis. Based on the driving speed, the point on the curve corresponding to the driving speed can be found, and then the vertical coordinate of that point can be determined and used as the second target value.

[0038] Based on the above technical solution, determining the second target value corresponding to the driving speed based on the driving speed and the preset benchmark function includes: substituting the driving speed into the preset benchmark function and determining the calculation result as the second target value corresponding to the driving speed.

[0039] In practical applications, the driving speed can be directly used as the independent variable and substituted into the preset benchmark function to obtain a result, which can then be used as the second target value.

[0040] Based on the above technical solution, before determining the second target value corresponding to the driving speed based on the driving speed and the preset benchmark function, the method further includes: acquiring each historical driving speed and at least two historical driving accelerations corresponding to the historical driving speeds from the vehicle data management platform; determining the fuel consumption value and emissions corresponding to any one of the historical driving accelerations; determining the target historical acceleration corresponding to the historical driving speed from each of the historical driving accelerations based on the fuel consumption value and the emissions; and fitting the preset benchmark function based on the historical driving speed and the target historical acceleration.

[0041] The data management platform can be understood as a big data platform that stores a lot of data related to vehicle driving. Historical driving speed and historical acceleration can be the driving speed and driving acceleration of the target vehicle stored in the big data platform during a certain period in the past. Historical driving speed and historical acceleration can also be the driving speed and acceleration values ​​of other vehicles of the same model as the target vehicle during the historical time period.

[0042] Specifically, before determining the second target value, a preset benchmark function can be constructed first. First, the historical driving speed and historical acceleration of the vehicle over a certain period are obtained from the vehicle data management platform. Different driving speeds correspond to different historical accelerations. At this point, the fuel consumption and emissions corresponding to different historical acceleration values ​​when the vehicle is traveling at the aforementioned historical speeds can be determined. For example, if the historical driving speed is A, the corresponding acceleration can be a, b, or c. Then, the fuel consumption and emissions of the vehicle can be determined for accelerations a, b, and c respectively. If the vehicle's fuel consumption and emissions are minimized at acceleration b, then acceleration b can be taken as the target historical acceleration. Further, the target acceleration corresponding to each historical driving speed is determined, and a curve corresponding to the preset benchmark function is fitted based on multiple historical driving speeds and their corresponding target accelerations. Specifically, the product between each historical driving speed and its corresponding target historical acceleration can be calculated as the historical second target value. In this way, a curve corresponding to the preset benchmark function is fitted based on multiple historical driving speeds and their corresponding historical second target values. At this point, the vehicle's performance is optimal when the vehicle curve corresponds to the historical driving speed and the historical second target value during the historical driving period.

[0043] Furthermore, when it is necessary to determine the second target value of the target vehicle, the vehicle's current speed can be substituted into the preset benchmark function to obtain the corresponding historical second target value, which is then used as the second target value of the target vehicle. In other words, based on empirical formulas, it is determined what the second target value should be to achieve the vehicle's optimal performance if it travels at its current speed.

[0044] S130. Based on the comparison result of the first target value and the second target value, determine the target driving state of the target vehicle.

[0045] It can be understood that the first target value represents the driving intensity of the target vehicle at the current moment, while the second target value represents the driving intensity corresponding to the optimal fuel consumption and emissions of the target vehicle. Based on this, the first and second target values ​​can be compared, and the driving state of the target vehicle can be determined according to the comparison result. In other words, the current driving state of the target vehicle is judged based on the second target value corresponding to the optimal fuel consumption and emissions.

[0046] In this embodiment, determining the target driving state of the target vehicle based on the comparison result of the first target value and the second target value includes: if the difference between the first target value and the second target value is greater than a first preset threshold, then the target driving state is determined to be an aggressive driving state; if the difference between the first target value and the second target value is less than a second preset threshold, then the target driving state is determined to be a relaxed driving state.

[0047] The first preset threshold and the second preset threshold are pre-set values.

[0048] Specifically, if the result of subtracting the second target value from the first target value is greater than the first preset threshold, it indicates that the target vehicle's driving state deviates from the optimal driving state. This is equivalent to the point in the coordinate system corresponding to the driving speed and the first target value being above the curve of the preset reference function, and the target driving state can be considered as aggressive driving. Conversely, if the result of subtracting the second target value from the first target value is less than the second preset threshold, it indicates that the target vehicle's driving state deviates from the optimal driving state. This is equivalent to the point in the coordinate system corresponding to the driving speed and the first target value being below the curve of the preset reference function, and the target driving state can be considered as moderate driving. Furthermore, the driving state can be used to remind the driver to change their driving habits and bring the vehicle to its optimal performance.

[0049] Based on the above technical solution, the method further includes: acquiring each historical first target value corresponding to the target vehicle during its historical driving process; acquiring target historical fuel consumption values ​​corresponding to each historical first target value based on the instantaneous fuel consumption sensor of the target vehicle; and establishing a fuel consumption data map of the target vehicle based on each historical first target value and each target historical fuel consumption value.

[0050] The historical first target value is determined based on the target vehicle's historical speed and historical acceleration. For example, the historical first target value can be the product of the target vehicle's historical speed and historical acceleration.

[0051] In practical applications, the fuel consumption value corresponding to each historical first target value can be predetermined. Specifically, this can be achieved by running the vehicle at the historical speed and acceleration, and determining the vehicle's fuel consumption, which corresponds to the target historical fuel consumption value for each historical first target value. Based on these historical first target values ​​and their corresponding target historical fuel consumption values, a fuel consumption data chart can be created, reflecting the fuel consumption information corresponding to different first target values.

[0052] Based on the above technical solution, after determining the first target value based on the driving speed and the driving acceleration, the method further includes: determining a historical first target value corresponding to the first target value in the fuel consumption data graph, and determining a target fuel consumption value corresponding to the target vehicle based on the historical first target value; generating a prompt message based on the target fuel consumption value to prompt the driver of the target vehicle, so as to adjust the driving state of the target vehicle based on the prompt message.

[0053] Understandably, the fuel consumption data graph is a chart built based on the vehicle's past driving and fuel consumption data. Therefore, when it is necessary to determine the current fuel consumption of a target vehicle, the historical first target value corresponding to the current first target value of the target vehicle can be found in the fuel consumption data graph. The target historical fuel consumption value corresponding to the historical first target value in the fuel consumption data graph is then used as the target fuel consumption value of the target vehicle at the current moment. In other words, the current fuel consumption value of the target vehicle is predicted based on the fuel consumption data graph, and corresponding prompts are generated based on the target fuel consumption value to prompt the user to adjust their driving status. For example, the user may be prompted that the current fuel consumption is too high and that they should adjust their driving status. Correspondingly, the user can adjust their driving habits to reduce the vehicle's fuel consumption and achieve the standard of economy.

[0054] In this embodiment, the vehicle's driving state and fuel consumption information can be predicted based on a first target value. To improve the accuracy of the prediction, the first target value and its corresponding prediction results can be used as training samples to train a model specifically for predicting vehicle driving state and fuel consumption information. During the training process, the model can be corrected using the actual detection results from the fuel consumption sensor and emission sensor, as well as the preset benchmark function and fuel consumption data graph, to make the prediction results more accurate.

[0055] The technical solution of this invention obtains the driving speed and acceleration of the target vehicle at the current moment, and determines a first target value based on the driving speed and acceleration, the first target value representing the driving intensity of the target vehicle at the current moment; based on the driving speed and a preset benchmark function, determines a second target value corresponding to the driving speed, the second target value representing the preset driving intensity corresponding to the target vehicle driving at the driving speed; based on the comparison result of the first target value and the second target value, the target driving state of the target vehicle is determined. This solves the problem that the analysis results are greatly biased due to manual analysis of driving habits, and realizes accurate and automatic analysis of driving habits to determine the driving state of the vehicle.

[0056] Example 2

[0057] Figure 2 This is a reference empirical curve applicable to Embodiment 2 of the present invention, and this embodiment is a preferred embodiment of the above embodiments. The method includes:

[0058] In this embodiment of the invention, two parameters, vehicle speed and acceleration, are used to analyze driver operating habits.

[0059] 1) The first step is to determine the acceleration parameter 'a':

[0060] For manual transmission vehicles, the speed difference measured by the vehicle speed sensor per unit time is used to obtain the result.

[0061] For automatic transmission vehicles, there is an acceleration sensor inside the transmission, and the relevant data in the TCU automatic transmission control unit can be used directly to determine the speed.

[0062] Because vehicle speed signals sometimes exhibit abnormal jumps during actual data acquisition, corrections are needed in the calculation of acceleration 'a'. For example, based on actual vehicle operating conditions, acceleration rarely exceeds ±5 m / s², thus data >5 m / s² and <-5 m / s² can be excluded.

[0063] 2) Judging driving behavior

[0064] Using the v*a parameter for evaluation, and by analyzing existing typical data, a baseline empirical formula is initially derived based on the principles of economic efficiency and optimal emissions. The formula is as follows:

[0065] y = -0.0002x² + 0.0273x + 0.1777

[0066] x — Vehicle speed, km / h

[0067] y—v*a,m2 / s3

[0068] This benchmark value can be displayed on the dashboard and can be displayed together with the real-time dynamic V*A operating point, such as... Figure 2 As shown, the red curve is the curve formed according to the above-mentioned benchmark empirical formula. The operating point is the v*a value during actual operation. The operating point above the red line indicates that the driving behavior is too aggressive, while the operating point below the red line indicates that the driving behavior is moderate.

[0069] The curve has two defined regions, one at the top and one at the bottom. The specific curve formula is shown in the figure. If the real-time monitored value exceeds the region, it will be displayed in a bright red on the dashboard to remind the driver that the driver has seriously deviated from the normal driving state.

[0070] 3) Self-learning function

[0071] This module has self-learning and updating functions. It combines the fuel consumption and NOx emission data collected and recorded by the ECU to accumulate and calculate the vehicle speed and v*a value at the best fuel consumption and emission. It also updates the existing benchmark data within a set time, so that the curve can more realistically approach the optimal value, thereby better guiding the driver to drive the vehicle.

[0072] The implementation of this invention involves a vehicle speed preprocessing module that calculates the required v and v*a values ​​and inputs them into a predefined evaluation MAP, fuel consumption and emission evaluation MAP. The results of these two evaluations are then output to the economy and emission prediction module, which is a pre-trained machine learning model. This model directly outputs predicted economy and emission warning information, which is displayed directly to the driver to provide guidance on driving behavior.

[0073] Synchronously, the predefined MAP, model output, and real-time data will be transmitted to the cloud processor. The cloud processor will perform data analysis, periodically process data, iterate and train the model, and update the user's prediction model. Details are as follows: Figure 3 As shown, Figure 3 This is an architecture diagram applicable to Embodiment 2 of the present invention.

[0074] The technical solution of this invention obtains the driving speed and acceleration of the target vehicle at the current moment, and determines a first target value based on the driving speed and acceleration, the first target value representing the driving intensity of the target vehicle at the current moment; based on the driving speed and a preset benchmark function, determines a second target value corresponding to the driving speed, the second target value representing the preset driving intensity corresponding to the target vehicle driving at the driving speed; based on the comparison result of the first target value and the second target value, the target driving state of the target vehicle is determined. This solves the problem that the analysis results are greatly biased due to manual analysis of driving habits, and realizes accurate and automatic analysis of driving habits to determine the driving state of the vehicle.

[0075] Example 3

[0076] Figure 4This is a schematic diagram of a vehicle driving state determination device provided in Embodiment 3 of the present invention. Figure 4 As shown, the device includes:

[0077] The first target value determination module 310 is used to obtain the driving speed and driving acceleration of the target vehicle at the current moment, and determine a first target value based on the driving speed and driving acceleration. The first target value is used to represent the actual driving state of the target vehicle.

[0078] The second target value determination module 320 is used to determine a second target value corresponding to the driving speed based on the driving speed and a preset benchmark function. The second target value is used to represent the preset driving state corresponding to the target vehicle when it is driving at the driving speed.

[0079] The target driving state determination module 330 is used to determine the target driving state of the target vehicle based on the comparison result of the first target value and the second target value.

[0080] The technical solution of this invention obtains the driving speed and acceleration of the target vehicle at the current moment, and determines a first target value based on the driving speed and acceleration, the first target value representing the driving intensity of the target vehicle at the current moment; based on the driving speed and a preset benchmark function, determines a second target value corresponding to the driving speed, the second target value representing the preset driving intensity corresponding to the target vehicle driving at the driving speed; based on the comparison result of the first target value and the second target value, the target driving state of the target vehicle is determined. This solves the problem that the analysis results are greatly biased due to manual analysis of driving habits, and realizes accurate and automatic analysis of driving habits to determine the driving state of the vehicle.

[0081] Optionally, the first target value determination module 310 includes:

[0082] The first acquisition module is used to acquire the driving speed and driving acceleration of the target vehicle based on the vehicle speed sensor if the target vehicle is a manual transmission vehicle.

[0083] The second acquisition module is used to acquire the driving speed and driving acceleration of the target vehicle based on the automatic transmission control unit of the target vehicle if the target vehicle is an automatic transmission vehicle.

[0084] The first target value calculation module is used to determine the first target value corresponding to the target vehicle at the current moment based on the product of the driving speed and the driving acceleration.

[0085] Optionally, the vehicle driving state determination device further includes:

[0086] The historical speed acquisition module is used to acquire each historical driving speed and at least two historical driving accelerations corresponding to the historical driving speed from the vehicle data management platform.

[0087] The fuel consumption and emission determination module is used to determine the fuel consumption value and emission amount corresponding to any of the historical driving accelerations.

[0088] The target historical acceleration determination module is used to determine the target historical acceleration corresponding to the historical driving speed from each of the historical driving accelerations based on the fuel consumption value and the emissions.

[0089] The preset benchmark function establishment module is used to fit the preset benchmark function based on the historical driving speed and the target historical acceleration.

[0090] Optionally, the second target value determination module 320 includes:

[0091] The substitution module is used to substitute the driving speed into the preset benchmark function and determine the calculation result as the second target value corresponding to the driving speed.

[0092] Optionally, the target driving state determination module 330 includes:

[0093] The aggressive driving determination module is used to determine the target driving state as an aggressive driving state if the difference between the first target value and the second target value is greater than a first preset threshold.

[0094] The mild driving determination module is used to determine the target driving state as a mild driving state if the difference between the first target value and the second target value is less than a second preset threshold.

[0095] Optionally, the vehicle driving state determination device further includes:

[0096] The historical first target value determination module is used to obtain the historical first target values ​​corresponding to the target vehicle during the historical driving process, wherein the historical first target values ​​are determined based on the historical driving speed and historical driving acceleration of the target vehicle;

[0097] The target historical fuel consumption value determination module is used to obtain the target historical fuel consumption value corresponding to each of the aforementioned historical first target values ​​based on the instantaneous fuel consumption sensor of the target vehicle.

[0098] The fuel consumption data graph building module is used to build a fuel consumption data graph of the target vehicle based on each of the historical first target values ​​and each of the target historical fuel consumption values.

[0099] Optionally, the vehicle driving state determination device further includes:

[0100] The target fuel consumption value determination module determines a historical first target value corresponding to the first target value in the fuel consumption data graph, and determines the target fuel consumption value corresponding to the target vehicle based on the historical first target value;

[0101] The fuel consumption reminder module is used to generate reminder information based on the target fuel consumption value to remind the driver of the target vehicle, so as to adjust the driving status of the target vehicle based on the reminder information.

[0102] The vehicle driving state determination device provided in the embodiments of the present invention can execute the vehicle driving state determination method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method execution.

[0103] Example 4

[0104] Figure 5 This is a schematic diagram of an electronic device according to Embodiment 4 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0105] like Figure 5 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 can also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0106] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0107] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as methods for determining the driving state of a vehicle.

[0108] In some embodiments, the method for determining the vehicle driving state may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the method for determining the vehicle driving state described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the method for determining the vehicle driving state by any other suitable means (e.g., by means of firmware).

[0109] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0110] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0111] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0112] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0113] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0114] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0115] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0116] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for determining the driving state of a vehicle, characterized in that, include: The driving speed and acceleration of the target vehicle at the current moment are obtained, and a first target value is determined based on the driving speed and acceleration. The first target value represents the driving intensity of the target vehicle at the current moment. Based on the driving speed and a preset benchmark function, a second target value corresponding to the driving speed is determined. The second target value represents the preset driving intensity level when the target vehicle is driving at the driving speed. Based on the comparison result between the first target value and the second target value, the target driving state of the target vehicle is determined; Before determining the second target value corresponding to the driving speed based on the driving speed and the preset benchmark function, the method further includes: acquiring each historical driving speed and at least two historical driving accelerations corresponding to the historical driving speed from the vehicle data management platform. For any of the historical driving accelerations, determine the corresponding fuel consumption and emissions; based on the fuel consumption and emissions, determine the target historical acceleration corresponding to the historical driving speed from each of the historical driving accelerations; calculate the product between each historical driving speed and the corresponding target historical acceleration as a second historical target value; and based on multiple historical driving speeds and the corresponding second historical target values, fit a curve corresponding to a preset benchmark function to generate the preset benchmark function.

2. The method according to claim 1, characterized in that, The step of obtaining the target vehicle's current speed and acceleration, and determining a first target value based on the speed and acceleration, includes: If the target vehicle is a manual transmission vehicle, then the vehicle speed and acceleration are obtained based on the vehicle speed sensor of the target vehicle. If the target vehicle is an automatic transmission vehicle, then the driving speed and driving acceleration of the target vehicle are obtained based on the automatic transmission control unit of the target vehicle; The first target value corresponding to the target vehicle at the current moment is determined based on the product of the driving speed and the driving acceleration.

3. The method according to claim 1, characterized in that, The step of determining the second target value corresponding to the driving speed based on the driving speed and a preset benchmark function includes: The driving speed is substituted into the preset benchmark function, and the calculated result is determined as the second target value corresponding to the driving speed.

4. The method according to claim 1, characterized in that, Determining the target driving state of the target vehicle based on the comparison result of the first target value and the second target value includes: If the difference between the first target value and the second target value is greater than the first preset threshold, then the target driving state is determined to be an aggressive driving state. If the difference between the first target value and the second target value is less than the second preset threshold, then the target driving state is determined to be a relaxed driving state.

5. The method according to claim 1, characterized in that, Also includes: Obtain the historical first target values ​​corresponding to the target vehicle during its historical driving process, wherein the historical first target values ​​are determined based on the historical driving speed and historical driving acceleration of the target vehicle; Based on the instantaneous fuel consumption sensor of the target vehicle, obtain the target historical fuel consumption value corresponding to each of the aforementioned historical first target values; Based on the historical first target value and the historical fuel consumption value of each target, a fuel consumption data map of the target vehicle is established.

6. The method according to claim 5, characterized in that, After determining the first target value based on the driving speed and the driving acceleration, the method further includes: Determine the historical first target value corresponding to the first target value in the fuel consumption data graph, and determine the target fuel consumption value corresponding to the target vehicle based on the historical first target value; Based on the target fuel consumption value, a prompt message is generated to alert the driver of the target vehicle, so that the driving status of the target vehicle can be adjusted based on the prompt message.

7. A device for determining the driving state of a vehicle, characterized in that, include: The first target value determination module is used to obtain the driving speed and driving acceleration of the target vehicle at the current moment, and determine a first target value based on the driving speed and driving acceleration. The first target value represents the driving intensity of the target vehicle at the current moment. The second target value determination module is used to determine a second target value corresponding to the driving speed based on the driving speed and a preset benchmark function. The second target value represents the preset driving intensity level corresponding to the target vehicle when it is driving at the driving speed. The target driving state determination module is used to determine the target driving state of the target vehicle based on the comparison result of the first target value and the second target value; The device for determining the vehicle's driving state further includes: The historical speed acquisition module is used to acquire each historical driving speed and at least two historical driving accelerations corresponding to the historical driving speed from the vehicle data management platform. The fuel consumption and emission determination module is used to determine the fuel consumption value and emission amount corresponding to any of the historical driving accelerations. The target historical acceleration determination module is used to determine the target historical acceleration corresponding to the historical driving speed from each of the historical driving accelerations based on the fuel consumption value and the emissions. The preset benchmark function establishment module is used to fit the curve corresponding to the preset benchmark function based on multiple historical driving speeds and the corresponding historical second target values, so as to generate the preset benchmark function; The historical second target value is obtained by calculating the product between each historical driving speed and the corresponding target historical acceleration.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the method for determining the vehicle driving state according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed by a processor, implement the method for determining the vehicle driving state as described in any one of claims 1-6.

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