Vehicle speed regulation method, device and system, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a vehicle speed regulation method, device and system, and the method comprises the steps: obtaining the driving data of a current vehicle, and the driving data comprises speed data and accelerator signal data; processing the accelerator signal data through a time control model, and determining vehicle speed adjustment data; and performing speed adjustment on the speed data based on the vehicle speed adjustment data. The vehicle speed data and the accelerator signal data which are obtained in real time are processed through the time control model, so that finer and more dynamic vehicle speed adjustment is achieved, the driving adaptability and efficiency can be improved, the more stable vehicle speed can be kept in the variable driving environment, and therefore the overall driving performance and safety are improved.

Description

Technical Field

[0001] The present invention relates to the field of smart vehicles, and in particular to a vehicle speed regulation method, device, system, electronic equipment and storage medium thereof. Background Art

[0002] In the operation of modern vehicles, especially in the application of sanitation vehicles and commercial vehicles, cruise control systems (CCS) play a vital role to maintain a constant speed of the vehicle during long-distance driving, thereby improving fuel efficiency and driving comfort. However, traditional cruise control systems usually rely on preset speed settings and basic feedback control to maintain vehicle speed. Although this can achieve automatic speed control to a certain extent, it usually lacks the ability to adapt to complex driving environments and dynamic vehicle conditions.

[0003] Since existing vehicle speed control methods usually do not consider the actual usage and duration of the throttle signal, but simply turn the throttle on or off, which may lead to insufficient precision in vehicle speed control, the existing vehicle speed control methods have the problem of being unable to obtain vehicle data in real time and process it through a time control model to achieve more precise and dynamic vehicle speed adjustment. Summary of the invention

[0004] The embodiment of the present invention provides a vehicle speed regulation method to solve the problem that the existing vehicle speed regulation method cannot obtain vehicle data in real time, and processes the vehicle data through a time control model to achieve more precise and dynamic vehicle speed regulation.

[0005] In a first aspect, an embodiment of the present invention provides a vehicle speed control method, the method comprising the following steps: Acquire the current vehicle driving data, wherein the driving data includes speed data and throttle signal data; Processing the throttle signal data through a time control model to determine vehicle speed adjustment data; The speed data is speed-adjusted based on the vehicle speed adjustment data.

[0006] Optionally, the throttle signal data includes an acceleration signal, a deceleration signal, and a duration signal, and the obtaining of the current vehicle driving data includes: By performing real-time detection on the throttle pressure of the current vehicle, when it is detected that the throttle pressure is greater than a throttle pressure threshold, determining an acceleration signal of the current vehicle and a corresponding first duration signal; When it is detected that the throttle pressure is less than the throttle pressure threshold, determining a current vehicle deceleration signal and a corresponding second duration signal; The speed of the current vehicle is detected in real time by a rotation speed sensor to determine the speed data of the current vehicle.

[0007] Optionally, the processing of the throttle signal data by a time control model to determine the vehicle speed adjustment data includes: Calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through a time control model to determine a cruise mode of the current vehicle, wherein the cruise mode includes an acceleration cruise mode and a deceleration cruise mode; Based on the acceleration cruise mode and the deceleration cruise mode, vehicle adjustment data is determined.

[0008] Optionally, the method further comprises: calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle by a time control model to determine the cruise mode of the current vehicle. Determining contact data between the throttle signal data and a current power source of the vehicle, wherein the contact data includes a contact number and a contact mode; Based on the contact times and contact patterns, a corresponding acceleration cruise mode and a deceleration cruise mode are determined in a preset vehicle cruise mode.

[0009] Optionally, the determining of vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode includes: Obtaining the throttle signal data and the current power supply contact time of the vehicle; Based on the contact time, in an acceleration cruise mode, calculating vehicle adjustment data required to increase the speed of the current vehicle to a target speed; Based on the contact time, vehicle adjustment data required to reduce the rotation speed of the current vehicle to a target rotation speed in a deceleration cruise mode is calculated.

[0010] Optionally, the adjusting the speed data based on the vehicle speed adjustment data includes: Determining a corresponding vehicle speed adjustment strategy based on the vehicle speed adjustment data; Based on the vehicle speed adjustment strategy, the motor speed is adjusted.

[0011] In a second aspect, an embodiment of the present invention further provides a vehicle speed regulating device, the vehicle speed regulating device comprising: A first acquisition module is used to acquire the driving data of the current vehicle, wherein the driving data includes speed data and throttle signal data; A first determination module, used for processing the throttle signal data through a time control model to determine vehicle speed adjustment data; The first adjustment module is used to perform speed adjustment on the speed data based on the vehicle speed adjustment data.

[0012] In a third aspect, an embodiment of the present invention further provides a vehicle speed control system, which includes: a vehicle speed control device, a server, and a smart vehicle.

[0013] In a fourth aspect, an embodiment of the present invention provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the vehicle speed control method provided in the embodiment of the present invention when executing the computer program.

[0014] In a fifth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the vehicle speed control method provided in the embodiment of the invention are implemented.

[0015] In the embodiment of the present invention, the driving data of the current vehicle is obtained, and the driving data includes speed data and throttle signal data; the throttle signal data is processed by the time control model to determine the vehicle speed adjustment data; and the speed data is adjusted based on the vehicle speed adjustment data. By processing the vehicle speed data and throttle signal data obtained in real time through the time control model to achieve more precise and dynamic vehicle speed adjustment, it can not only improve the adaptability and efficiency of driving, but also maintain a more stable vehicle speed in a changing driving environment, thereby improving the overall driving performance and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 is an architecture diagram of a vehicle speed control system provided by an embodiment of the present invention; Figure 2 is a flow chart of a vehicle speed regulation method provided by an embodiment of the present invention; Figure 3 This is a schematic diagram of an accelerated cruise mode flow chart provided by an embodiment of the present invention; Figure 4 This is a schematic diagram of a deceleration cruise mode flow chart provided by an embodiment of the present invention; Figure 5 It is a flowchart of multiple short-contact speed regulation in a vehicle acceleration cruise mode provided by an embodiment of the present invention; Figure 6 It is a flow chart of multiple short-contact speed regulation in a vehicle deceleration cruise mode provided by an embodiment of the present invention; Figure 7 is a structural schematic diagram of a vehicle speed regulating device provided in an embodiment of the present invention; Figure 8 It is a structural schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0019] like Figure 1 As shown, Figure 1 1 is an architecture diagram of a vehicle speed control system 100 provided by an embodiment of the present invention, and the vehicle speed control system includes: a vehicle speed control device 700, a server 101, and a smart vehicle 102. The vehicle speed control device 700 also includes a first acquisition module, which can be used to obtain the driving data of the current vehicle; a first determination module, which can be used to process the throttle signal data through a time control model to determine the vehicle speed adjustment data; and a first adjustment module, which can be used to adjust the speed data based on the vehicle speed adjustment data.

[0020] Specifically, the driving data may include but are not limited to speed data and throttle signal data, etc., which are used to describe the state of the vehicle during driving. Generally speaking, the driving state of the vehicle during driving, environmental factors during driving, driving behavior, etc., may be confirmed through the driving data. Specifically, it may include but is not limited to speed data, throttle signal data, engine speed, vehicle position, lane information, driving behavior, and road condition information.

[0021] The above speed data generally refers to real-time vehicle speed information, which can be used to determine the current driving speed of the vehicle, and can also be used to adjust the vehicle's acceleration, deceleration or cruising to maintain a certain speed.

[0022] The throttle signal data may include an acceleration signal, a deceleration signal, and a corresponding duration, and may be used to reflect the driver's control intention and behavior of the smart vehicle. Generally speaking, in this embodiment, the throttle signal data may be detected, and the vehicle speed may be adjusted according to the determined driver's control intention and current driving behavior to ensure that the smart vehicle can perform corresponding driving actions according to the driver's driving intention, such as acceleration, deceleration, and maintaining speed in cruise mode.

[0023] The above-mentioned time control model can be an algorithm or model that uses time factors to control and adjust the driving state of the vehicle. The model can adjust the speed of the vehicle being driven to achieve the purpose of vehicle acceleration, deceleration and cruising. Specifically, the model can determine the adjustment of the vehicle speed based on the acceleration signal, deceleration signal and corresponding duration in the throttle signal data. For example, when the throttle pressure is greater than a certain pressure threshold, the above-mentioned time control model recognizes the throttle signal data as an acceleration signal, and adjusts the acceleration degree according to the duration, that is, the engine speed and acceleration can be changed accordingly.

[0024] The above duration can be determined by the time the throttle signal data is in contact with the power supply.

[0025] The above-mentioned vehicle speed adjustment data may be parameter data that needs to be adjusted calculated based on the current driving data of the vehicle and the control intention of the driver. These parameter data may be used to adjust the power output of the vehicle, including but not limited to adjusting the vehicle speed, engine speed, brake, etc., to achieve the desired driving state or response. Specifically, during the acceleration process, the vehicle speed adjustment data may be a parameter of how much power output needs to be increased or how much throttle pressure needs to be increased to achieve the desired vehicle speed, or, during the deceleration process, the vehicle speed adjustment data may be a parameter of how much power output needs to be reduced or how much throttle pressure needs to be reduced to achieve the desired vehicle speed.

[0026] More specifically, the above-mentioned vehicle speed adjustment data may include but is not limited to vehicle speed adjustment data, rotation speed adjustment data, throttle signal adjustment data, cruise mode adjustment data, power contact time adjustment data and corresponding adjustment strategies, etc., which are used to adjust the current driving state of the vehicle and achieve parameter data of the desired driving state.

[0027] By analyzing and processing the vehicle's driving data to adjust the vehicle's driving state in order to better respond to the driver's control intentions and achieve dynamic vehicle state management, the control response of the smart vehicle is improved.

[0028] In a possible embodiment, the vehicle speed control system obtains the speed data and throttle signal data of the current vehicle and processes them through a time control model to determine the corresponding control intention of the driver, obtains the vehicle speed adjustment data after calculation, and controls the current vehicle speed according to the vehicle speed adjustment data. For example, when the control intention is to accelerate, the corresponding power output is calculated according to the duration of the throttle signal data and the throttle pressure, the corresponding speed to which the corresponding motor speed needs to be increased is calculated according to the required power output, and the corresponding motor output power is adjusted so that the vehicle can accelerate smoothly.

[0029] like Figure 2 As shown, Figure 21 is a flow chart of a vehicle speed regulation method provided by an embodiment of the present invention, the vehicle speed regulation method comprising the steps of: 201. Obtain driving data of the current vehicle.

[0030] In an embodiment of the present invention, the above-mentioned vehicle speed control method can be applied to the above-mentioned vehicle speed control system, which has functions such as vehicle data processing, vehicle data transmission and reception, and vehicle data memory storage, and can be constructed based on a server or a server cluster. The above-mentioned server or server cluster can be an electronic device with vehicle data processing capabilities.

[0031] The driving data may include but are not limited to speed data and throttle signal data, which are used to describe the state of the vehicle during driving. Generally speaking, the driving state of the vehicle during driving, environmental factors during driving, driving behavior, etc. can be confirmed through the driving data. Specifically, it may include but is not limited to speed data, throttle signal data, engine speed, vehicle position, lane information, driving behavior, and road condition information.

[0032] The above speed data generally refers to real-time vehicle speed information, which can be used to determine the current driving speed of the vehicle, and can also be used to adjust the vehicle's acceleration, deceleration or cruising to maintain a certain speed.

[0033] The throttle signal data may include an acceleration signal, a deceleration signal, and a corresponding duration, and may be used to reflect the driver's control intention and behavior of the smart vehicle. Generally speaking, in this embodiment, the throttle signal data may be detected, and the vehicle speed may be adjusted according to the determined driver's control intention and current driving behavior to ensure that the smart vehicle can perform corresponding driving actions according to the driver's driving intention, such as acceleration, deceleration, and maintaining speed in cruise mode.

[0034] 202. Process the throttle signal data through the time control model to determine the vehicle speed adjustment data.

[0035] The above-mentioned time control model can be an algorithm or model that uses time factors to control and adjust the driving state of the vehicle. The model can adjust the speed of the vehicle being driven to achieve the purpose of vehicle acceleration, deceleration and cruising. Specifically, the model can determine the adjustment of the vehicle speed based on the acceleration signal, deceleration signal and corresponding duration in the throttle signal data. For example, when the throttle pressure is greater than a certain pressure threshold, the above-mentioned time control model recognizes the throttle signal data as an acceleration signal, and adjusts the acceleration degree according to the duration, that is, the engine speed and acceleration can be changed accordingly.

[0036] 203. Based on the vehicle speed adjustment data, adjust the speed data.

[0037] The above-mentioned vehicle speed adjustment data may be parameter data that needs to be adjusted calculated based on the current driving data of the vehicle and the control intention of the driver. These parameter data may be used to adjust the power output of the vehicle, including but not limited to adjusting the vehicle speed, engine speed, brake, etc., to achieve the desired driving state or response. Specifically, during the acceleration process, the vehicle speed adjustment data may be a parameter of how much power output needs to be increased or how much throttle pressure needs to be increased to achieve the desired vehicle speed, or, during the deceleration process, the vehicle speed adjustment data may be a parameter of how much power output needs to be reduced or how much throttle pressure needs to be reduced to achieve the desired vehicle speed.

[0038] More specifically, the above-mentioned vehicle speed adjustment data may include but is not limited to vehicle speed adjustment data, rotation speed adjustment data, throttle signal adjustment data, cruise mode adjustment data, power contact time adjustment data and corresponding adjustment strategies, etc., which are used to adjust the current driving state of the vehicle and achieve parameter data of the desired driving state.

[0039] By analyzing and processing the vehicle's driving data to adjust the vehicle's driving state in order to better respond to the driver's control intentions and achieve dynamic vehicle state management, the control response of the smart vehicle is improved.

[0040] In a possible embodiment, the vehicle speed control system obtains the speed data and throttle signal data of the current vehicle and processes them through a time control model to determine the corresponding control intention of the driver, obtains the vehicle speed adjustment data after calculation, and controls the current vehicle speed according to the vehicle speed adjustment data. For example, when the control intention is to accelerate, the corresponding power output is calculated according to the duration of the throttle signal data and the throttle pressure, the corresponding speed to which the corresponding motor speed needs to be increased is calculated according to the required power output, and the corresponding motor output power is adjusted so that the vehicle can accelerate smoothly.

[0041] In the embodiment of the present invention, the driving data of the current vehicle is obtained, and the driving data includes speed data and throttle signal data; the throttle signal data is processed by the time control model to determine the vehicle speed adjustment data; and the speed data is adjusted based on the vehicle speed adjustment data. By processing the vehicle speed data and throttle signal data obtained in real time through the time control model to achieve more precise and dynamic vehicle speed adjustment, it can not only improve the adaptability and efficiency of driving, but also maintain a more stable vehicle speed in a changing driving environment, thereby improving the overall driving performance and safety.

[0042] Optionally, in the step of obtaining the driving data of the current vehicle, it also includes performing real-time detection of the throttle pressure of the current vehicle, and when it is detected that the throttle pressure is greater than the throttle pressure threshold, determining the acceleration signal of the current vehicle and the corresponding first duration signal; when it is detected that the throttle pressure is less than the throttle pressure threshold, determining the deceleration signal of the current vehicle and the corresponding second duration signal; and performing real-time detection of the speed of the current vehicle through a speed sensor to determine the speed data of the current vehicle.

[0043] In the embodiment of the present invention, the throttle signal data may include but is not limited to an acceleration signal, a deceleration signal and a duration signal.

[0044] The above acceleration signal can be obtained when the throttle pressure is greater than the throttle pressure threshold. Similarly, the deceleration signal can be obtained when the throttle pressure is less than the throttle pressure threshold.

[0045] The above-mentioned throttle pressure threshold can be set relatively. For example, after the accelerator is stepped on, when the accelerator rebounds, the throttle rebound force is detected. If the detected rebound force is greater than the throttle pressure threshold, acceleration is still performed, but the acceleration amplitude is smaller, or when the rebound force is greater than the throttle pressure threshold, it is deemed to need to decelerate. This is a relative setting made when the throttle rebounds. The specific real-time scheme can be selected and determined according to the specific situation. Through the above method, when the driver's foot on the accelerator suddenly leaves during emergency braking, the rebound force burst is greater than the throttle pressure threshold, and the other foot steps on the brake to complete two-way braking, thereby ensuring safety under emergency braking; another method is to detect the throttle pressure when the accelerator is stepped on. When the throttle pressure is greater than the throttle pressure threshold when the accelerator is stepped on, acceleration is performed. When the throttle pressure is less than the throttle pressure threshold when the accelerator is stepped on, no acceleration is performed. This can prevent the driver from stepping on the accelerator by mistake.

[0046] The above-mentioned speed sensor can be used to detect the rotation speed of key components such as the engine, drive shaft, and motor, and perform corresponding calculations to determine the current vehicle speed.

[0047] Optionally, in the step of processing the throttle signal data through a time control model to determine the vehicle speed adjustment data, it also includes calculating the throttle signal data and the power contact time of the throttle signal data with the current vehicle through the time control model to determine the cruise mode of the current vehicle; and determining the vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode.

[0048] In the embodiment of the present invention, the above-mentioned cruise mode may include but is not limited to an acceleration cruise mode and a deceleration cruise mode. Specifically, the above-mentioned acceleration cruise mode may refer to an acceleration mode in which the acceleration is fixed or the speed is increased to a specified speed. Generally speaking, the acceleration is automatically responded to according to the driver's control intention, such as acceleration demand or the current vehicle environment demand, such as climbing or overtaking. The above-mentioned deceleration cruise mode may refer to a deceleration mode in which the acceleration is fixed or the speed is reduced to a specified speed. Generally speaking, it can be performed when the vehicle needs to brake or decelerate.

[0049] According to Figure 3 , Figure 4 To explain, Figure 3 It is a schematic diagram of the process of an acceleration cruise mode, C is the power supply, D is the cruise activation signal, and A is the acceleration signal. After the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle are calculated, it is determined that it is an acceleration signal. The time control model determines the connection time N between the cruise activation signal and the power supply, and detects the connection between the cruise machine or signal and the power supply after N time. If it is disconnected, the acceleration cruise mode is turned on at this time, and the current initial speed Q is recorded. The throttle signal is controlled to be connected to the power supply for N time and then disconnected, so that the vehicle can reach the target speed M1 from the initial speed Q; Figure 4 This is a flow chart of a deceleration cruise mode. C is the power supply, and B is the deceleration signal. After the deceleration cruise mode is turned on, the current speed M1 is recorded, and the connection time N between the power supply and the deceleration signal is recorded and calculated through the time control model, and the deceleration signal is controlled to be connected with the power supply for N time, so that the vehicle can drop to the initial cruise speed Q.

[0050] Optionally, in the step of calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through a time control model to determine the cruise mode of the current vehicle, it also includes determining the contact data between the throttle signal data and the power supply of the current vehicle; based on the number of contacts and the contact pattern, in the preset vehicle cruise mode, determining the corresponding acceleration cruise mode and deceleration cruise mode.

[0051] In an embodiment of the present invention, the contact data may include but is not limited to the number of contacts and the contact mode. The number of contacts may be confirmed based on the pressure change of the throttle in the throttle signal data. For example, when the throttle signal changes from the acceleration signal to the higher level acceleration signal, the number of contacts is recorded once. Alternatively, when the pressure data in the throttle signal data exceeds the pressure threshold, the number of contacts is counted once. Conversely, the deceleration signal is the same. In another possible embodiment, the throttle pressure may be changed in a short time, so that the contact mode may be set based on the contact duration. For example, when the throttle pressure change is detected, the duration of the change is detected. When the duration is lower than the contact duration, it is recorded as a short contact. When the duration is higher than the contact duration, it is recorded as a long contact. The contact duration may be determined based on the specific implementation plan or the current driving environment of the vehicle. Generally speaking, the more complex the driving environment is, or the more the vehicle needs to adjust its speed, the contact duration will change according to the driving environment to meet the throttle control of different drivers in different environments.

[0052] In a possible embodiment, the vehicle speed control system confirms the pressure change of the throttle in the throttle signal data to obtain the number of contacts and contact patterns between the throttle signal data and the power supply of the current vehicle, and then determines the corresponding acceleration cruise mode or deceleration cruise mode in the preset vehicle cruise mode according to the corresponding number of contacts and contact patterns, so as to satisfy the driver's quick selection of vehicle speed control modes in different driving environments.

[0053] Optionally, in the step of determining vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode, it also includes obtaining the throttle signal data and the power contact time of the current vehicle; based on the contact time, in the acceleration cruise mode, calculating the vehicle adjustment data required to increase the speed of the current vehicle to the target speed; based on the contact time, in the deceleration cruise mode, calculating the vehicle adjustment data required to reduce the speed of the current vehicle to the target speed.

[0054] In the embodiment of the present invention, Figure 5 , Figure 6 To explain, in the acceleration cruise mode, Figure 5 As shown, firstly, the acceleration signal of the current vehicle is obtained, and under the processing of the time control model, the contact time corresponding to the acceleration signal is calculated, for example, N time, and it is determined whether the contact is short contact or long contact, and according to the contact time and the number of contacts, the motor speed is controlled to increase uniformly. Specifically, each short contact is disconnected after N time, and the motor speed is controlled to increase by S. At this time, the motor speed is Q+S. When Q+S+....+S, the target speed M1 is reached; Similarly, if Figure 6As shown, in the deceleration cruise mode, the deceleration signal of the current vehicle is first obtained, and under the processing of the time control model, the contact time corresponding to the deceleration signal is calculated, for example, N time, and it is determined whether the contact is short contact or long contact, and according to the contact time and the number of contacts, the motor speed is controlled to decrease uniformly. Specifically, each short contact is disconnected after N time, and the motor speed is controlled to decrease by S. At this time, the motor speed is M1-S. After M1-S-....-S, the initial speed Q is reached.

[0055] Optionally, the step of adjusting the speed data based on the vehicle speed adjustment data further includes determining a corresponding vehicle speed adjustment strategy based on the vehicle speed adjustment data; and adjusting the motor speed based on the vehicle speed adjustment strategy.

[0056] In the embodiment of the present invention, the above-mentioned vehicle speed adjustment strategy can be a specific method for setting the action of adjusting the current state of the vehicle according to the real-time driving data, including but not limited to acceleration control, deceleration control and cruise control. The vehicle speed adjustment strategy evaluates the driving state of the vehicle and determines how to dynamically control the acceleration, deceleration or maintain a constant speed of the vehicle, aiming to optimize the performance of the vehicle, improve driving comfort, reduce energy consumption, and ensure driving safety.

[0057] In a possible embodiment, the vehicle speed adjustment system acquires the vehicle speed data and throttle signal data in real time and calculates the vehicle speed adjustment data using a time control model, thereby analyzing the acceleration or deceleration speed currently required by the vehicle.

[0058] By controlling the motor speed through the above-mentioned vehicle speed adjustment system, not only the response speed of the vehicle in dynamic road conditions is improved, but also energy efficiency can be optimized, energy waste can be reduced, and smooth acceleration and deceleration of the smart vehicle can be achieved, thereby improving the dual beneficial effects of driving comfort and safety.

[0059] like Figure 7 As shown, the embodiment of the present invention further provides a vehicle speed regulating device 700, which includes: A first acquisition module 701 is used to acquire the current vehicle driving data, wherein the driving data includes speed data and throttle signal data; A first determination module 702, configured to process the throttle signal data through a time control model to determine vehicle speed adjustment data; The first adjustment module 707 is used to adjust the speed data based on the vehicle speed adjustment data.

[0060] Optionally, the first acquisition module 701 includes: A first determination submodule is used to detect the throttle pressure of the current vehicle in real time, and when it is detected that the throttle pressure is greater than the throttle pressure threshold, determine the acceleration signal of the current vehicle and the corresponding first duration signal; A second determination submodule, configured to determine a deceleration signal of the current vehicle and a corresponding second duration signal when it is detected that the throttle pressure is less than a throttle pressure threshold; The third determination submodule is used to detect the speed of the current vehicle in real time through a rotation speed sensor to determine the speed data of the current vehicle.

[0061] Optionally, the first determining module 702 includes: a fourth determination submodule, configured to calculate the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through a time control model, and determine a cruise mode of the current vehicle, wherein the cruise mode includes an acceleration cruise mode and a deceleration cruise mode; The fifth determining submodule is used to determine vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode.

[0062] Optionally, the above device further includes: A second determination module is used to determine contact data between the throttle signal data and the current vehicle power supply, wherein the contact data includes a contact number and a contact mode; The third determination module is used to determine the corresponding acceleration cruise mode and deceleration cruise mode in the preset vehicle cruise mode based on the contact number and the contact mode.

[0063] Optionally, the third determining module includes: A first acquisition submodule is used to acquire the throttle signal data and the current power supply contact time of the vehicle; A first calculation submodule, configured to calculate, based on the contact time, vehicle adjustment data required to increase the speed of the current vehicle to a target speed in an acceleration cruise mode; The second calculation submodule is used to calculate the vehicle adjustment data required to reduce the rotation speed of the current vehicle to the target rotation speed in the deceleration cruise mode based on the contact time.

[0064] Optionally, the first adjustment module 707 includes: a sixth determination submodule, configured to determine a corresponding vehicle speed adjustment strategy based on the vehicle speed adjustment data; The adjustment submodule is used to adjust the motor speed based on the vehicle speed adjustment strategy.

[0065] like Figure 8As shown, an embodiment of the present invention further provides an electronic device 800, including a processor, and the processor can execute any of the above-mentioned vehicle speed control methods.

[0066] Specifically, it includes a processor 801 and a memory 802, and a computer program for executing the vehicle speed regulation method which is stored in the memory 802 and can be run on the processor 801, wherein: The processor 801 runs the computer program of the vehicle speed control method stored in the memory 802 and performs the following steps: Acquire the current vehicle driving data, wherein the driving data includes speed data and throttle signal data; Processing the throttle signal data through a time control model to determine vehicle speed adjustment data; The speed data is speed-adjusted based on the vehicle speed adjustment data.

[0067] Optionally, the processor 801 executes the throttle signal data including an acceleration signal, a deceleration signal, and a duration signal, and the obtaining of the current vehicle driving data includes: By performing real-time detection on the throttle pressure of the current vehicle, when it is detected that the throttle pressure is greater than a throttle pressure threshold, determining an acceleration signal of the current vehicle and a corresponding first duration signal; When it is detected that the throttle pressure is less than the throttle pressure threshold, determining a current vehicle deceleration signal and a corresponding second duration signal; The speed of the current vehicle is detected in real time by a rotation speed sensor to determine the speed data of the current vehicle.

[0068] Optionally, the processor 801 executes the time control model to process the throttle signal data to determine the vehicle speed adjustment data, including: Calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through a time control model to determine a cruise mode of the current vehicle, wherein the cruise mode includes an acceleration cruise mode and a deceleration cruise mode; Based on the acceleration cruise mode and the deceleration cruise mode, vehicle adjustment data is determined.

[0069] Optionally, the processor 801 executes the time control model to calculate the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle to determine the cruise mode of the current vehicle, and the method further includes: Determining contact data between the throttle signal data and a current power source of the vehicle, wherein the contact data includes a contact number and a contact mode; Based on the contact times and contact patterns, a corresponding acceleration cruise mode and a deceleration cruise mode are determined in a preset vehicle cruise mode.

[0070] Optionally, the processor 801 executes the step of determining vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode, including: Obtaining the throttle signal data and the current power supply contact time of the vehicle; Based on the contact time, in an acceleration cruise mode, calculating vehicle adjustment data required to increase the speed of the current vehicle to a target speed; Based on the contact time, vehicle adjustment data required to reduce the rotation speed of the current vehicle to a target rotation speed in a deceleration cruise mode is calculated.

[0071] Optionally, the processor 801 further performs the speed adjustment on the speed data based on the vehicle speed adjustment data, including: Determining a corresponding vehicle speed adjustment strategy based on the vehicle speed adjustment data; Based on the vehicle speed adjustment strategy, the motor speed is adjusted.

[0072] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the various processes of the vehicle speed control method or the application-side vehicle speed control method provided in the embodiment of the present invention are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0073] Those skilled in the art can understand that the implementation of all or part of the processes in the above-mentioned embodiments is a program that can be completed by instructing related hardware through a computer program, and can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only memory (ROM) or a random access memory (RAM).

[0074] The above disclosure is only the preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A vehicle speed control method, characterized in that: include: Acquire the current vehicle driving data, wherein the driving data includes speed data and throttle signal data; Processing the throttle signal data through a time control model to determine vehicle speed adjustment data; The speed data is speed-adjusted based on the vehicle speed adjustment data.

2. The vehicle speed control method according to claim 1, characterized in that: The throttle signal data includes an acceleration signal, a deceleration signal and a duration signal, and the obtaining of the current vehicle driving data includes: By performing real-time detection on the throttle pressure of the current vehicle, when it is detected that the throttle pressure is greater than a throttle pressure threshold, determining an acceleration signal of the current vehicle and a corresponding first duration signal; When it is detected that the throttle pressure is less than the throttle pressure threshold, determining a current vehicle deceleration signal and a corresponding second duration signal; The speed of the current vehicle is detected in real time by a rotation speed sensor to determine the speed data of the current vehicle.

3. The vehicle speed control method according to claim 1, characterized in that: The step of processing the throttle signal data through a time control model to determine the vehicle speed adjustment data includes: Calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through a time control model to determine a cruise mode of the current vehicle, wherein the cruise mode includes an acceleration cruise mode and a deceleration cruise mode; Based on the acceleration cruise mode and the deceleration cruise mode, vehicle adjustment data is determined.

4. The vehicle speed regulating method according to claim 3, characterized in that: The method further comprises calculating the throttle signal data and the contact time between the throttle signal data and the power supply of the current vehicle through the time control model to determine the cruise mode of the current vehicle. The method further comprises: Determining contact data between the throttle signal data and a current power source of the vehicle, wherein the contact data includes a contact number and a contact mode; Based on the contact times and contact patterns, a corresponding acceleration cruise mode and a deceleration cruise mode are determined in a preset vehicle cruise mode.

5. The vehicle speed regulating method according to claim 3, characterized in that: The determining of vehicle adjustment data based on the acceleration cruise mode and the deceleration cruise mode includes: Obtaining the throttle signal data and the current power supply contact time of the vehicle; Based on the contact time, in an acceleration cruise mode, calculating vehicle adjustment data required to increase the speed of the current vehicle to a target speed; Based on the contact time, vehicle adjustment data required to reduce the rotation speed of the current vehicle to a target rotation speed in a deceleration cruise mode is calculated.

6. The vehicle speed regulating method according to claim 1, characterized in that: The step of adjusting the speed data based on the vehicle speed adjustment data includes: Determining a corresponding vehicle speed adjustment strategy based on the vehicle speed adjustment data; Based on the vehicle speed adjustment strategy, the motor speed is adjusted.

7. A vehicle speed regulating device, characterized in that: include: A first acquisition module is used to acquire the driving data of the current vehicle, wherein the driving data includes speed data and throttle signal data; A first determination module, used for processing the throttle signal data through a time control model to determine vehicle speed adjustment data; The first adjustment module is used to perform speed adjustment on the speed data based on the vehicle speed adjustment data.

8. A vehicle speed control system, characterized in that: The vehicle speed regulating system comprises: a vehicle speed regulating device; The vehicle speed control device is determined by a vehicle speed control method shown in claims 1-6.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps in the vehicle speed control method as claimed in any one of claims 1 to 6 when executing the computer program.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps in the vehicle speed control method according to any one of claims 1 to 6 are implemented.

Images