CN113673756A

CN113673756A - Method and device for determining recommended vehicle speed of vehicle and computer equipment

Info

Publication number: CN113673756A
Application number: CN202110934885.2A
Authority: CN
Inventors: 石正发; 郭平; 李振雷; 王皓; 陆帅; 施井才; 王丙新; 张健; 王明剑
Original assignee: FAW Jiefang Automotive Co Ltd
Current assignee: FAW Jiefang Automotive Co Ltd
Priority date: 2021-08-16
Filing date: 2021-08-16
Publication date: 2021-11-19

Abstract

The application relates to a method and a device for determining a recommended vehicle speed of a vehicle, computer equipment and a storage medium. The method comprises the following steps: according to the vehicle-related information and the route-related information of the user vehicle, matching recommendation is carried out on the user vehicle on the basis of an economic vehicle speed model, and the average recommended vehicle speed of each running road section of the user vehicle on a preset running route is determined; the method comprises the steps that in the driving process of a user vehicle, real-time position information of the user vehicle is obtained, and operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information; and determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of other vehicles. The method can obviously reduce the fuel waste, and is energy-saving and environment-friendly.

Description

Method and device for determining recommended vehicle speed of vehicle and computer equipment

Technical Field

The application relates to the technical field of vehicle networking, in particular to a method and a device for determining a recommended vehicle speed of a vehicle, computer equipment and a storage medium.

Background

According to statistics, the fuel consumption cost of the heavy commercial vehicle accounts for more than 30% of the total life cycle cost of the heavy commercial vehicle, and therefore, the fuel economy is one of the key performances of the heavy commercial vehicle. Meanwhile, the fuel emission of heavy commercial vehicles can cause air pollution in cities, and with the gradual enhancement of environmental awareness, how to reduce the fuel emission also becomes a hot point of discussion.

Therefore, a method is needed to ensure that the fuel consumption of the heavy commercial vehicle is reduced as much as possible under the condition of meeting the task timeliness, and the waste of fuel is avoided, so that the aims of economy, energy conservation and environmental protection are achieved.

Disclosure of Invention

In view of the above, it is necessary to provide a recommended vehicle speed determination method, apparatus, computer device, and storage medium for a vehicle capable of saving energy and reducing fuel consumption of a vehicle operating speed.

A method of determining a recommended vehicle speed for a vehicle, the method comprising:

according to the vehicle-related information and the route-related information of the user vehicle, matching recommendation is carried out on the user vehicle on the basis of an economic vehicle speed model, and the average recommended vehicle speed of each running road section of the user vehicle on a preset running route is determined; the vehicle-related information includes at least one of vehicle configuration information and vehicle load information; the route related information at least comprises one of operation route information and operation aging information;

the method comprises the steps that in the driving process of a user vehicle, real-time position information of the user vehicle is obtained, and operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained on the basis of the real-time position information; the operation characteristic information at least comprises one of vehicle speed information and gear information;

and determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of the other vehicles.

In one embodiment, the performing matching recommendation on the user vehicle based on an economic vehicle speed model according to vehicle-related information and route-related information of the user vehicle to determine an average recommended vehicle speed of each running road section of the user vehicle on a preset running route includes:

determining a plurality of speed ranges matched with each running road section on a preset running route of the user vehicle by using an economic speed model according to the route related information of the user vehicle and the type of the user vehicle;

and determining the average recommended speed of each running road section of the user vehicle on a preset running route based on the speed range according to the vehicle-related information of the user vehicle.

In one embodiment, the step of establishing the economic vehicle speed model includes:

acquiring historical driving information of a plurality of types of vehicles on a plurality of running routes; the historical driving information at least comprises one of running road information, vehicle load information and fuel consumption information; the operation road information at least comprises one of longitude and latitude information, altitude information and course information;

segmenting each operation route to obtain a plurality of operation road sections corresponding to each operation route;

obtaining historical fuel consumption of vehicles belonging to the same type on each running road section, screening out a plurality of candidate vehicles with fuel consumption smaller than a threshold value, and obtaining historical running characteristic information of the candidate vehicles on corresponding road sections; wherein the type of the vehicle at least comprises one of a tractor, a truck and a special vehicle;

and classifying and storing the historical driving information and the historical operating characteristic information of each operating road section according to the type of the vehicle, and establishing an economic vehicle speed model.

In one embodiment, the determining the real-time recommended speed of the user vehicle at the current time corresponding to the operation section according to the average speed of the user vehicle and the operation characteristic information of the other vehicles includes:

determining the speed threshold of the corresponding running road section at the current moment according to the running characteristic information of the other vehicles;

and comparing the average recommended speed of the user vehicle with the speed threshold value, and determining the real-time recommended speed of the user vehicle on the corresponding running road section at the current moment based on the comparison result.

In one embodiment, the comparing the average recommended speed of the user vehicle with the speed threshold value, and determining the real-time recommended speed of the corresponding operation section of the user vehicle at the current time based on the comparison result includes:

if the average recommended speed of the user vehicle is smaller than the speed threshold, determining the average recommended speed as the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment;

and if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value.

In one embodiment, the determining and recommending the real-time recommended speed of the user vehicle at the current corresponding operation road section according to the average recommended speed of the user vehicle and the operation characteristic information of the other vehicles includes:

acquiring road characteristic information on a corresponding running road section based on the real-time position information of the user vehicle; the road characteristic information at least comprises one of road gradient information, speed limit information and road curvature information;

and determining and recommending the real-time recommended speed of the user vehicle at each moment of the corresponding operation section based on a real-time speed analysis model according to the average speed of the user vehicle, the operation characteristic information of the other vehicles and the road characteristic information on the corresponding operation section.

In one embodiment, the method further comprises:

controlling a vehicle controller of the user vehicle to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed; and/or the presence of a gas in the gas,

and prompting by using a prompting device on the user vehicle so as to guide the user to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed.

A recommended vehicle speed determination apparatus for a vehicle, the apparatus comprising:

the matching module is used for matching and recommending the user vehicle based on an economic vehicle speed model according to vehicle related information and route related information of the user vehicle and determining the average recommended vehicle speed of each running road section of the user vehicle on a preset running route; the vehicle-related information includes at least one of vehicle configuration information and vehicle load information; the route related information at least comprises one of operation route information and operation aging information;

the system comprises an acquisition module, a display module and a control module, wherein the acquisition module is used for acquiring real-time position information of a user vehicle in the driving process of the user vehicle and acquiring running characteristic information of other vehicles except the user vehicle on the same running road section at the same moment based on the real-time position information; the operation characteristic information at least comprises one of vehicle speed information and gear information;

and the processing module is used for determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of the other vehicles.

A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:

A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:

According to the method, the device, the computer equipment and the storage medium for determining the recommended speed of the vehicle, matching recommendation is performed by using a pre-established economic speed model through vehicle related information and route related information of a user vehicle, and the average recommended speed of each running road section of the user vehicle on a preset running route is determined; therefore, the running vehicle speed with low oil consumption and energy conservation and emission reduction can be recommended to the user under the condition of meeting the running requirements of the user, and the fuel waste caused by poor driving habits is improved. Meanwhile, in the driving process of the user vehicle, the real-time position information of the user vehicle is obtained, the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information, the real-time recommended vehicle speed of the user vehicle on the corresponding operation road section at the current moment is determined and recommended based on the average recommended vehicle speed and the operation characteristic information of other vehicles, the dynamic information of the current road can be analyzed through real-time internet-of-vehicles data, the passing vehicle speed of the vehicle is dynamically corrected in real time, and the fuel consumption under the actual operation working condition is greatly reduced; the oil-saving control system has the advantages that the operation requirement is met, the oil consumption in actual use is lowest, and the oil-saving control system is more energy-saving, environment-friendly and economical under various complex external environments.

Drawings

FIG. 1 is a diagram of an exemplary implementation of a method for determining a recommended speed of a vehicle;

FIG. 2 is a schematic flow chart diagram illustrating a method for determining a recommended vehicle speed for a vehicle according to one embodiment;

FIG. 3 is a flowchart illustrating steps for establishing an economic vehicle speed model according to one embodiment;

FIG. 4 is a flowchart illustrating steps for matching recommendations for the user vehicle based on an economic vehicle speed model, according to one embodiment;

FIG. 5 is a flowchart illustrating steps of determining and recommending a real-time recommended speed of the user vehicle for a corresponding travel route segment at the current time in one embodiment;

FIG. 6 is a flowchart illustrating the steps of determining a real-time recommended speed for the corresponding travel section of the user vehicle at the current time in accordance with another embodiment;

FIG. 7 is a logical framework diagram of a recommended vehicle speed determination method for a vehicle in one embodiment;

FIG. 8 is a block diagram showing a structure of a recommended vehicle speed determining apparatus of a vehicle in one embodiment;

FIG. 9 is a diagram illustrating an internal structure of a computer device according to an embodiment.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

Heavy commercial vehicles are commonly used for long haul, delivery, and the like. Compared with the common vehicles (such as cars) which run for a short distance in cities, the heavy commercial vehicles have more remarkable fuel consumption, more serious fuel waste and more serious air pollution. According to statistics, when the same vehicle executes the same long-distance transportation task, the actual oil consumption difference caused by improper driving of the driver can reach more than 30%.

In view of this, the application provides a method for determining a recommended vehicle speed of a vehicle, so as to solve the problem of large fuel consumption of a heavy-duty commercial vehicle.

The method for determining the recommended vehicle speed of the vehicle can be applied to the application environment shown in fig. 1. The vehicle is connected to a cloud server 120 (also called a cloud platform, a cloud end, etc.) through a vehicle-mounted terminal 110 and performs data transmission. The vehicle-mounted terminal 110 refers to a smart terminal installed in a vehicle, and in some embodiments, the vehicle-mounted terminal 110 may also be a portable terminal of a user bound to the vehicle, such as a smart phone, a tablet computer, a smart watch, and other portable wearable electronic devices. The cloud server 120 may be implemented as a stand-alone server or a server cluster composed of a plurality of servers.

The recommended vehicle speed determination method for the vehicle provided by the application can be executed by an in-vehicle terminal installed in the vehicle or by a cloud server according to the device/hardware configuration conditions of the vehicle. For example, in some embodiments, if the device/hardware configuration condition of the vehicle is not sufficient to process the internet of vehicles data or the data processing speed is not sufficient, the steps of acquiring and processing the internet of vehicles data and the like may be performed by the cloud server, and the processing result may be network-transmitted to the in-vehicle terminal or the portable terminal of the user; accordingly, the in-vehicle terminal may perform only a part of the data/information collecting operation and the transmitting operation. In some embodiments, if the device/hardware configuration of the vehicle is good and the storage space is sufficient, the vehicle-mounted terminal may also execute the recommended vehicle speed determination method of the vehicle.

In one embodiment, as shown in fig. 2, a method for determining a recommended vehicle speed of a vehicle is provided, which is described by taking the method as an example applied to the cloud server in fig. 1. The method comprises the following steps:

step S202, according to the vehicle related information and the route related information of the user vehicle, matching recommendation is conducted on the user vehicle on the basis of the economic vehicle speed model, and the average recommended vehicle speed of each running road section of the user vehicle on the preset running route is determined.

Wherein the vehicle-related information includes at least one of vehicle configuration information and vehicle load information. The Vehicle configuration information includes, but is not limited to, Vehicle Identification Number (VIN) engine model, tire model, transmission model, and rear axle final drive ratio configuration information. The vehicle load information includes rated load information and actual load information of the vehicle. The rated load information of the vehicle can be obtained from the configuration information of the vehicle when the vehicle leaves the factory. The actual load information of the vehicle can be acquired through a sensor of the vehicle and uploaded to a cloud server through a vehicle-mounted terminal.

The route-related information includes at least one of operation route information and operation aging information. The operation route information refers to a route on which the vehicle travels, and may be determined based on a departure position and a destination position provided by a user. For example, the operation route information includes an expressway route from beijing to shanghai. Illustratively, a user inputs departure and destination information through a vehicle-mounted terminal, and a cloud server uploads the information through the vehicle-mounted terminal and obtains the information, so that the running route information is determined. The running time information refers to a time limit requirement required to be met by the current running, such as the duration of the whole journey. For example, for a shipment of goods, the operational age information may indicate that the shipment needs to arrive at the destination/complete delivery within X days or X hours.

Specifically, the cloud server performs matching recommendation on the user vehicle based on the economic vehicle speed model according to vehicle related information and route related information of the user vehicle, and determines the average recommended vehicle speed of each running road section of the user vehicle on a preset running route. For example, the cloud server inputs vehicle-related information and route-related information of the user vehicle into an economic vehicle speed model, and outputs an average recommended vehicle speed from the economic vehicle speed model.

In some embodiments, as shown in fig. 3, the cloud server may pre-establish the economic vehicle speed model by performing the following steps:

in step S302, historical travel information of a plurality of types of vehicles on a plurality of travel routes is acquired.

The historical driving information at least comprises one of running road information, vehicle load information and fuel consumption information. In some embodiments, the historical travel information further includes operating characteristic information of the vehicle during actual operation. The running characteristic information at least comprises one of position information, heading information, vehicle speed information, gear information and the like of the vehicle in the actual running process. The operation road information at least comprises one of longitude and latitude information, altitude information, gradient information, slope length information and course information. The fuel consumption information refers to the fuel consumption amount of the vehicle.

Specifically, the cloud server obtains historical driving information of various types of vehicles on various running routes through vehicle network data or big data, and accordingly data preparation is conducted for subsequently establishing an economic vehicle speed model.

And step S304, segmenting each running route to obtain a plurality of running road sections corresponding to each running route.

Specifically, in order to improve the calculation accuracy, the cloud server segments each operation route according to a preset standard, so that each operation route is divided into a plurality of operation sections. For example, the cloud server may divide the entire travel route into a plurality of travel segments on a criterion of every 5km distance. For another example, the cloud server may use the position of the toll station on the highway as a basis for dividing the operation section, so as to divide the whole operation route into a plurality of operation sections.

And step S306, acquiring the historical fuel consumption of vehicles belonging to the same type on each running road section, screening out a plurality of candidate vehicles with the fuel consumption smaller than a threshold value, and acquiring the historical running characteristic information of the candidate vehicles on the corresponding road sections.

Wherein the type of vehicle comprises at least one of a tractor, a truck and a special vehicle. In some embodiments, the types of vehicles may also be divided by drive formats, such as 4 × 2, 6 × 4, 8 × 4, etc., with the numbers before the "x" representing the total number of vehicle wheels and the numbers after the "x" representing the number of drive wheels.

Specifically, the cloud server obtains the historical fuel consumption of vehicles belonging to the same type on each operation section, screens out a plurality of candidate vehicles on each operation section, wherein the fuel consumption is smaller than a threshold value, and obtains historical operation characteristic information of the candidate vehicles on the corresponding operation section, such as position, heading, vehicle speed, gear position and the like. Illustratively, the cloud server screens 10% vehicles (i.e., candidate vehicles) with lower actual fuel consumption among vehicles running on the same running road section in combination with the actual load of a certain type of vehicle and the actual fuel consumption of the type of vehicle on each running road section, and establishes an economic vehicle speed model according to the running characteristic information of the 10% vehicles.

And step S308, classifying and storing the historical driving information and the historical operating characteristic information of each operating road section according to the type of the vehicle, and establishing an economic vehicle speed model.

Specifically, the cloud server classifies and stores historical driving information and historical operating characteristic information of each operating road section according to the type of the vehicle, and an economic vehicle speed model is established. Illustratively, the cloud server stores corresponding historical driving information and historical feature information in a database in the form of a relational table according to different vehicle types and different operation road sections. Thus, when the vehicle type and the travel route/section are determined, the cloud server may determine corresponding historical travel information and historical feature information. For another example, the cloud server can also fit various data according to the stored data to obtain a fitting function, so that the establishment of the economic vehicle speed model is completed. Therefore, after the vehicle type and the running route/road section are determined, the cloud server can calculate a corresponding result, namely the average recommended vehicle speed according to the fitting function.

Meanwhile, with the continuous increase of the data of the Internet of vehicles, the cloud server can also continuously update and iterate the economic vehicle speed model, so that the accuracy of the economic vehicle speed model is continuously optimized and improved.

In the embodiment, the economic vehicle speed model is established in advance through the vehicle networking data, and the recommended average vehicle speed of the current road section can be obtained based on the economic vehicle speed model after the type and the running route/road section of the vehicle are obtained, so that the vehicle can have the minimum fuel consumption and the optimal running scheme on the premise of meeting the running timeliness requirement.

In some embodiments, as shown in fig. 4, the step of performing matching recommendation on the user vehicle based on the economic vehicle speed model according to the vehicle-related information and the route-related information of the user vehicle, and determining an average recommended vehicle speed of each travel section of the user vehicle on the preset travel route includes:

and S402, determining a plurality of vehicle speed ranges matched with each running road section on the preset running route of the user vehicle by using the economic vehicle speed model according to the route related information of the user vehicle and the type of the user vehicle.

And step S404, determining the average recommended speed of each running road section of the user vehicle on the preset running route based on the speed range according to the vehicle-related information of the user vehicle.

Specifically, the cloud server performs matching recommendation by using an economic vehicle speed model according to the route related information of the user vehicle and the type of the user vehicle, so as to determine a plurality of vehicle speed ranges matched with each running road section on the preset running route of the user vehicle. In the plurality of vehicle speed ranges, the cloud server further determines the average recommended vehicle speed of each running road section of the user vehicle on the preset running route according to the vehicle related information of the user vehicle.

Illustratively, the cloud server obtains the type of the user vehicle as a tractor, the operation route information as an expressway from beijing to the Shanghai, and the operation aging information as 20 hours. According to the information, the cloud server determines a vehicle speed range (for example, 60 km/h-65 km/h) corresponding to each operation section (for example, one operation section is divided every 10 km) on the expressway from Beijing to the Shanghai by using a pre-established economic vehicle speed model. Then, the cloud server further determines an average recommended vehicle speed (e.g., 65km/h) for each travel section on the preset travel route according to vehicle-related information (e.g., an actual load of the vehicle) of the user vehicle.

In the embodiment, the vehicle speed is matched and recommended by utilizing the pre-established economic vehicle speed model according to the type, the route related information and the vehicle related information of the user vehicle, so that the vehicle can have the minimum fuel consumption and the optimal operation scheme on the premise of meeting the operation timeliness requirement.

Step S204, in the driving process of the user vehicle, acquiring the real-time position information of the user vehicle, and acquiring the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment based on the real-time position information.

Wherein the operation characteristic information includes at least one of vehicle speed information and gear information.

In consideration of real-time dynamically-changed road condition information in actual road traffic, specifically, the cloud server acquires real-time position information of the user vehicle in the driving process of the user vehicle, and acquires operation characteristic information of other vehicles, except the user vehicle, which are operated on the same operation section at the same time based on the real-time position information, so as to evaluate the real-time road condition information according to the operation characteristic information of the other vehicles. In some embodiments, the cloud server preferentially acquires the operation characteristic information of the vehicle of the same type as the user vehicle among the remaining vehicles other than the user vehicle. When the number of vehicles of the same type as the user vehicle is small, the cloud server acquires the operation characteristic information of other types of vehicles.

And step S206, determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of other vehicles.

Specifically, the cloud server evaluates the real-time road condition information according to the running characteristic information of the other vehicles, and further determines and recommends the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment by combining the determined average recommended speed. Illustratively, the cloud server sends the real-time recommended vehicle speed to the vehicle-mounted terminal, and the vehicle-mounted terminal displays the real-time recommended vehicle speed in the modes of characters, images, voice and the like through a display screen and the like, so that the real-time recommended vehicle speed is recommended to the user. For another example, the cloud server sends the real-time recommended vehicle speed to the portable terminal of the user, so that the real-time recommended vehicle speed is recommended to the user.

In some embodiments, in addition to the operation characteristic information of the remaining vehicles, road characteristic information on the corresponding operation section may be acquired. As shown in fig. 5, determining and recommending the real-time recommended speed of the user vehicle at the current time corresponding to the operation road section according to the average recommended speed of the user vehicle and the operation characteristic information of the other vehicles includes:

step S502, acquiring road characteristic information on a corresponding operation road section based on the real-time position information of the user vehicle; the road characteristic information includes at least one of road gradient information, speed limit information, and road curvature information.

And step S504, determining and recommending the real-time recommended speed of the user vehicle at each moment of the corresponding operation road section based on the real-time speed analysis model according to the average speed of the user vehicle, the operation characteristic information of other vehicles and the road characteristic information on the corresponding operation road section.

Specifically, the cloud server can also obtain road characteristic information of an actual operation road section, so that the real-time recommended speed of the user vehicle at each moment of the corresponding operation road section is determined and recommended based on the real-time speed analysis model according to the average speed of the user vehicle, the operation characteristic information of other vehicles and the road characteristic information on the corresponding operation road section. The cloud server can acquire the road characteristic information of the actual operation road section according to the internet of vehicles data, or can be in butt joint with data of a map supplier, so that the road characteristic information of the actual operation road section is acquired. The specific processes and steps are similar to those of the above embodiments, please refer to the above embodiments, and are not described herein again.

In the embodiment, the road characteristic information of the actual operation road section is additionally considered, and the real-time recommended vehicle speed of the user vehicle at each moment of the corresponding operation road section is determined based on the real-time vehicle speed analysis model, so that errors caused by inaccurate road gradient estimation, insufficient transient working condition consideration and the like in theoretical calculation are avoided, the vehicle speed recommendation result is more accurate, and the energy-saving and emission-reducing effects are better.

In some embodiments, as shown in fig. 6, the step of determining the real-time recommended speed of the corresponding operation section of the user vehicle at the current time according to the average speed of the user vehicle and the operation characteristic information of the other vehicles includes:

and step S602, determining the speed threshold of the corresponding running road section at the current moment according to the running characteristic information of other vehicles.

And step S604, comparing the average recommended speed of the user vehicle with a speed threshold value, and determining the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment based on the comparison result.

Specifically, the cloud server evaluates the real-time road condition of the current operation road section according to the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same time, and determines the vehicle speed threshold of the corresponding operation road section at the current time. The vehicle speed threshold value represents the maximum value of the travelable speed of the user vehicle, and is generally determined by the lower value of the vehicle speed range in which the vehicle speeds of the remaining vehicles are located. And the cloud server compares the determined average recommended vehicle speed with a vehicle speed threshold value, and determines the real-time recommended vehicle speed of the corresponding running road section of the user vehicle at the current moment based on the comparison result.

For example, if the speeds of the other vehicles except the user vehicle are lower (for example, lower than the recommended speed), it indicates that the current operation road section is congested, so that it may be determined in which speed range the speeds of the other vehicles are within according to the operation characteristic information of the other vehicles, that is, a speed threshold, so as to determine the real-time recommended speed of the user vehicle at the current time corresponding operation road section based on the average recommended speed and the speed threshold; or, if the speeds of the other vehicles except the user vehicle are all higher, it is indicated that the current operation road section can pass smoothly, and similarly, the speed threshold value can be determined according to which speed range the speeds of the other vehicles are in, so as to determine the real-time recommended speed of the user vehicle at the current corresponding operation road section.

In some embodiments, determining the real-time recommended speed of the user vehicle at the corresponding operation section at the current moment based on the comparison result comprises: if the average recommended speed of the user vehicle is smaller than the speed threshold value, determining the average recommended speed as the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment; and if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value.

Specifically, the cloud server compares the average recommended speed of the user vehicle with a speed threshold, and if the average recommended speed of the user vehicle is less than the speed threshold, it indicates that the current operating road section can smoothly run, that is, the user vehicle runs according to the average recommended speed without being limited by real-time road conditions, so that the cloud server can directly determine the average recommended speed as the real-time recommended speed of the user vehicle at the current time corresponding to the operating road section. For example, if the average recommended vehicle speed is 55km/h, and the vehicle speeds of the remaining vehicles are in the range of 60km/h to 65km/h (correspondingly, the vehicle speed threshold is 60km/h), it indicates that the current running section is unobstructed, and the remaining vehicles can run at a higher speed, so that the user vehicle can run according to the average recommended vehicle speed, thereby achieving the purposes of reducing fuel consumption, saving energy and reducing emission. And if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value. For example, if the average recommended vehicle speed is 55km/h, the vehicle speeds of the other vehicles are within the range of 45km/h to 50km/h (correspondingly, the vehicle speed threshold is 45km/h), and the other vehicles all run at a lower vehicle speed, it is indicated that a congestion phenomenon may exist in the current running section, and the user vehicle may run by using the vehicle speed corresponding to the vehicle speed threshold as the real-time recommended vehicle speed of the corresponding running section at the current time, so that the complexity of the real-time road condition is considered and the vehicle speed recommendation result is more accurate while the fuel consumption is reduced, the energy is saved, and the emission is reduced.

In the embodiment, the real-time road condition of the current operation road section is evaluated through the operation characteristic information of other vehicles on the same operation road section at the same moment except the user vehicle, the vehicle speed threshold of the corresponding operation road section at the current moment is determined, the real-time recommended vehicle speed of the user vehicle at each moment of the corresponding operation road section is comprehensively determined based on the vehicle speed threshold and the average recommended vehicle speed, the dynamic information of the current road can be analyzed according to the real-time internet-of-vehicles data, the passing vehicle speed of the vehicle is corrected, the fact that the oil consumption is the lowest in use is guaranteed under various complex external environments, and the energy-saving and emission-reducing effects are better.

The recommended speed determining method of the vehicle determines the average recommended speed of each running road section of the user vehicle on the preset running route by using the vehicle related information and the route related information of the user vehicle and utilizing a pre-established economic speed model for matching recommendation; therefore, the running vehicle speed with low oil consumption and energy conservation and emission reduction can be recommended to the user under the condition of meeting the running requirements of the user, and the fuel waste caused by poor driving habits is improved. Meanwhile, in the driving process of the user vehicle, the real-time position information of the user vehicle is obtained, the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information, the real-time recommended vehicle speed of the user vehicle on the corresponding operation road section at the current moment is determined and recommended based on the average recommended vehicle speed and the operation characteristic information of other vehicles, the dynamic information of the current road can be analyzed through real-time internet-of-vehicles data, the passing vehicle speed of the vehicle is dynamically corrected in real time, and the fuel consumption under the actual operation working condition is greatly reduced; the oil-saving control system has the advantages that the operation requirement is met, the oil consumption in actual use is lowest, and the oil-saving control system is more energy-saving, environment-friendly and economical under various complex external environments.

In some embodiments, the method for determining the recommended vehicle speed of the vehicle further includes: controlling a vehicle controller of the user vehicle to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed; and/or prompting by utilizing a prompting device on the user vehicle to guide the user to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed.

Specifically, after the cloud server obtains the real-time recommended vehicle speed, the real-time recommended vehicle speed is sent to the vehicle-mounted terminal, and the vehicle-mounted terminal controls a controller of the vehicle, so that the vehicle speed of the user vehicle is adjusted to the real-time recommended vehicle speed. For example, when the vehicle is an autonomous vehicle or the vehicle is set to an autonomous driving mode, the cloud server may control a controller of the vehicle through the vehicle-mounted terminal, adjust the vehicle speed toward a value of the real-time recommended vehicle speed, and continuously cycle until a stable vehicle speed is reached or the real-time recommended vehicle speed changes. Or after the cloud server obtains the real-time recommended vehicle speed, the real-time recommended vehicle speed is sent to the vehicle-mounted terminal, and the vehicle-mounted terminal prompts by using a prompting device on the user vehicle so as to guide the user to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed. The prompting device may be, for example, a display screen or a speaker of an in-vehicle terminal, or may be a portable terminal (for example, a smart phone) of a user bound to a vehicle. For example, when the vehicle is in a user driving mode, after the cloud server obtains the real-time recommended vehicle speed, the real-time recommended vehicle speed is sent to the vehicle-mounted terminal, the vehicle-mounted terminal displays the real-time recommended vehicle speed on a display screen, and prompts a user to increase or decrease the speed through voice, so that the purposes of reducing oil consumption, saving energy and reducing emission are achieved.

In the embodiment, the vehicle controller of the user vehicle is controlled, so that the vehicle speed can be automatically adjusted to the real-time recommended vehicle speed without manual adjustment of the user, and the adjustment result is quicker and more accurate. Meanwhile, the prompting device guides the user to adjust the vehicle speed of the vehicle of the user to the real-time recommended vehicle speed, the real-time recommended vehicle speed can be visually displayed to the user, and the user can have good driving experience.

In a specific embodiment, a logical frame diagram of the recommended vehicle speed determination method for a vehicle may be as shown in fig. 7. The cloud server establishes an economic vehicle speed model according to the information of the operation roads, the vehicle load information and the fuel consumption information such as longitude, latitude, altitude, course and the like, inputs the parameters into the economic vehicle speed model according to the vehicle configuration, the actual vehicle load, the operation route and the aging requirement of the user vehicle, and outputs the average recommended vehicle speed through matching by the economic vehicle speed model. Meanwhile, in order to further adjust according to real-time road conditions, the cloud server also obtains information such as real-time positioning of the vehicles, road characteristics and operation characteristics of other vehicles on the current operation road section, and dynamically adjusts the average recommended speed by integrating the information, so that the real-time recommended speed of the corresponding road section at each moment is obtained. The cloud server can also send the real-time recommended speed to the vehicle-mounted terminal, and the vehicle-mounted terminal controls the vehicle controller, so that the vehicle can be automatically adjusted; or the vehicle instrument can prompt the user to manually adjust the vehicle speed, so that the purposes of reducing oil consumption, saving energy and reducing emission are achieved.

It should be understood that although the various steps in the flow charts of fig. 2-6 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-6 may include multiple steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the other steps.

In one embodiment, as shown in fig. 8, there is provided a recommended vehicle speed determining apparatus for a vehicle, including: a matching module 810, an obtaining module 820, and a processing module 830, wherein:

the matching module 810 is used for performing matching recommendation on the user vehicle based on the economic vehicle speed model according to the vehicle related information and the route related information of the user vehicle, and determining the average recommended vehicle speed of each running road section of the user vehicle on the preset running route; the vehicle-related information includes at least one of vehicle configuration information and vehicle load information; the route-related information includes at least one of operation route information and operation aging information.

An obtaining module 820, configured to obtain real-time location information of a user vehicle during a driving process of the user vehicle, and obtain operation characteristic information of other vehicles on the same operation road segment at the same time except the user vehicle based on the real-time location information; the operation characteristic information includes at least one of vehicle speed information and gear information.

And the processing module 830 is configured to determine and recommend the real-time recommended speed of the user vehicle at the current time corresponding to the operation road section according to the average recommended speed of the user vehicle and the operation characteristic information of the other vehicles.

In one embodiment, the matching module is further configured to determine a plurality of vehicle speed ranges matched with the respective operation road sections on the preset operation route of the user vehicle by using the economic vehicle speed model according to the route related information of the user vehicle and the type of the user vehicle; and determining the average recommended speed of each running road section of the user vehicle on the preset running route based on the speed range according to the vehicle-related information of the user vehicle.

In one embodiment, the device further comprises a modeling module for acquiring historical driving information of a plurality of types of vehicles on a plurality of running routes; the historical driving information at least comprises one of running road information, vehicle load information and fuel consumption information; the operation road information at least comprises one of longitude and latitude information, altitude information and course information; segmenting each operation route to obtain a plurality of operation road sections corresponding to each operation route; obtaining the historical fuel consumption of vehicles belonging to the same type on each running road section, screening out a plurality of candidate vehicles with the fuel consumption smaller than a threshold value, and obtaining the historical running characteristic information of the plurality of candidate vehicles on the corresponding road sections; wherein the type of the vehicle at least comprises one of a tractor, a truck and a special vehicle; and classifying and storing the historical driving information and the historical operating characteristic information of each operating road section according to the type of the vehicle, and establishing an economic vehicle speed model.

In one embodiment, the processing module is further configured to determine a vehicle speed threshold of a corresponding operating road section at the current time according to the operating characteristic information of the other vehicles; and comparing the average recommended speed of the user vehicle with a speed threshold value, and determining the real-time recommended speed of the user vehicle on the corresponding running road section at the current moment based on the comparison result.

In one embodiment, the processing module is further configured to determine the average recommended speed as a real-time recommended speed of the user vehicle at the current time corresponding to the operation road section if the average recommended speed of the user vehicle is less than a speed threshold; and if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value.

In one embodiment, the processing module is further configured to obtain road characteristic information on a corresponding operation road section based on the real-time location information of the user vehicle; the road characteristic information at least comprises one of road gradient information, speed limit information and road curvature information; and determining and recommending the real-time recommended speed of the user vehicle at each moment of the corresponding operation road section based on the real-time speed analysis model according to the average speed of the user vehicle, the operation characteristic information of other vehicles and the road characteristic information on the corresponding operation road section.

Specific limitations regarding the recommended vehicle speed determination device of the vehicle can be found in the above limitations regarding the recommended vehicle speed determination method of the vehicle, and will not be described herein again. The respective modules in the above-described recommended vehicle speed determining apparatus for a vehicle may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.

In one embodiment, a computer device is provided, and the computer device may be a cloud server in the foregoing embodiments, and its internal structure diagram may be as shown in fig. 9. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing vehicle networking information such as vehicle related information, route related information, historical driving information, road characteristic information and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a recommended vehicle speed determination method for a vehicle.

Those skilled in the art will appreciate that the architecture shown in fig. 9 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.

In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program: according to the vehicle-related information and the route-related information of the user vehicle, matching recommendation is carried out on the user vehicle on the basis of an economic vehicle speed model, and the average recommended vehicle speed of each running road section of the user vehicle on a preset running route is determined; the vehicle-related information includes at least one of vehicle configuration information and vehicle load information; the route related information at least comprises one of operation route information and operation aging information; the method comprises the steps that in the driving process of a user vehicle, real-time position information of the user vehicle is obtained, and operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information; the operation characteristic information at least comprises one of vehicle speed information and gear information; and determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of other vehicles.

In one embodiment, the processor, when executing the computer program, further performs the steps of: determining a plurality of vehicle speed ranges matched with each running road section on a preset running route of the user vehicle by using an economic vehicle speed model according to the route related information of the user vehicle and the type of the user vehicle; and determining the average recommended speed of each running road section of the user vehicle on the preset running route based on the speed range according to the vehicle-related information of the user vehicle.

In one embodiment, the processor, when executing the computer program, further performs the steps of: acquiring historical driving information of a plurality of types of vehicles on a plurality of running routes; the historical driving information at least comprises one of running road information, vehicle load information and fuel consumption information; the operation road information at least comprises one of longitude and latitude information, altitude information and course information; segmenting each operation route to obtain a plurality of operation road sections corresponding to each operation route; obtaining the historical fuel consumption of vehicles belonging to the same type on each running road section, screening out a plurality of candidate vehicles with the fuel consumption smaller than a threshold value, and obtaining the historical running characteristic information of the plurality of candidate vehicles on the corresponding road sections; wherein the type of the vehicle at least comprises one of a tractor, a truck and a special vehicle; and classifying and storing the historical driving information and the historical operating characteristic information of each operating road section according to the type of the vehicle, and establishing an economic vehicle speed model.

In one embodiment, the processor, when executing the computer program, further performs the steps of: determining the speed threshold of the corresponding running road section at the current moment according to the running characteristic information of other vehicles; and comparing the average recommended speed of the user vehicle with a speed threshold value, and determining the real-time recommended speed of the user vehicle on the corresponding running road section at the current moment based on the comparison result.

In one embodiment, the processor, when executing the computer program, further performs the steps of: if the average recommended speed of the user vehicle is smaller than the speed threshold value, determining the average recommended speed as the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment; and if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value.

In one embodiment, the processor, when executing the computer program, further performs the steps of: controlling a vehicle controller of the user vehicle to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed; and/or prompting by utilizing a prompting device on the user vehicle to guide the user to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed.

The computer equipment performs matching recommendation by using a pre-established economic vehicle speed model through vehicle related information and route related information of the user vehicle, and determines the average recommended vehicle speed of each running road section of the user vehicle on a preset running route; therefore, the running vehicle speed with low oil consumption and energy conservation and emission reduction can be recommended to the user under the condition of meeting the running requirements of the user, and the fuel waste caused by poor driving habits is improved. Meanwhile, in the driving process of the user vehicle, the real-time position information of the user vehicle is obtained, the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information, the real-time recommended vehicle speed of the user vehicle on the corresponding operation road section at the current moment is determined and recommended based on the average recommended vehicle speed and the operation characteristic information of other vehicles, the dynamic information of the current road can be analyzed through real-time internet-of-vehicles data, the passing vehicle speed of the vehicle is dynamically corrected in real time, and the fuel consumption under the actual operation working condition is greatly reduced; the oil-saving control system has the advantages that the operation requirement is met, the oil consumption in actual use is lowest, and the oil-saving control system is more energy-saving, environment-friendly and economical under various complex external environments.

In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of: according to the vehicle-related information and the route-related information of the user vehicle, matching recommendation is carried out on the user vehicle on the basis of an economic vehicle speed model, and the average recommended vehicle speed of each running road section of the user vehicle on a preset running route is determined; the vehicle-related information includes at least one of vehicle configuration information and vehicle load information; the route related information at least comprises one of operation route information and operation aging information; the method comprises the steps that in the driving process of a user vehicle, real-time position information of the user vehicle is obtained, and operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information; the operation characteristic information at least comprises one of vehicle speed information and gear information; and determining and recommending the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment according to the average recommended speed of the user vehicle and the running characteristic information of other vehicles.

In one embodiment, the computer program when executed by the processor further performs the steps of: determining a plurality of vehicle speed ranges matched with each running road section on a preset running route of the user vehicle by using an economic vehicle speed model according to the route related information of the user vehicle and the type of the user vehicle; and determining the average recommended speed of each running road section of the user vehicle on the preset running route based on the speed range according to the vehicle-related information of the user vehicle.

In one embodiment, the computer program when executed by the processor further performs the steps of: acquiring historical driving information of a plurality of types of vehicles on a plurality of running routes; the historical driving information at least comprises one of running road information, vehicle load information and fuel consumption information; the operation road information at least comprises one of longitude and latitude information, altitude information and course information; segmenting each operation route to obtain a plurality of operation road sections corresponding to each operation route; obtaining the historical fuel consumption of vehicles belonging to the same type on each running road section, screening out a plurality of candidate vehicles with the fuel consumption smaller than a threshold value, and obtaining the historical running characteristic information of the plurality of candidate vehicles on the corresponding road sections; wherein the type of the vehicle at least comprises one of a tractor, a truck and a special vehicle; and classifying and storing the historical driving information and the historical operating characteristic information of each operating road section according to the type of the vehicle, and establishing an economic vehicle speed model.

In one embodiment, the computer program when executed by the processor further performs the steps of: determining the speed threshold of the corresponding running road section at the current moment according to the running characteristic information of other vehicles; and comparing the average recommended speed of the user vehicle with a speed threshold value, and determining the real-time recommended speed of the user vehicle on the corresponding running road section at the current moment based on the comparison result.

In one embodiment, the computer program when executed by the processor further performs the steps of: if the average recommended speed of the user vehicle is smaller than the speed threshold value, determining the average recommended speed as the real-time recommended speed of the corresponding running road section of the user vehicle at the current moment; and if the average recommended speed of the user vehicle is greater than the speed threshold, taking the speed threshold as the maximum value of the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment, and determining the real-time recommended speed of the corresponding operation road section of the user vehicle at the current moment according to the maximum value.

In one embodiment, the computer program when executed by the processor further performs the steps of: controlling a vehicle controller of the user vehicle to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed; and/or prompting by utilizing a prompting device on the user vehicle to guide the user to adjust the vehicle speed of the user vehicle to the real-time recommended vehicle speed.

The computer-readable storage medium performs matching recommendation by using a pre-established economic vehicle speed model through vehicle-related information and route-related information of a user vehicle, and determines an average recommended vehicle speed of each running road section of the user vehicle on a preset running route; therefore, the running vehicle speed with low oil consumption and energy conservation and emission reduction can be recommended to the user under the condition of meeting the running requirements of the user, and the fuel waste caused by poor driving habits is improved. Meanwhile, in the driving process of the user vehicle, the real-time position information of the user vehicle is obtained, the operation characteristic information of other vehicles except the user vehicle on the same operation road section at the same moment is obtained based on the real-time position information, the real-time recommended vehicle speed of the user vehicle on the corresponding operation road section at the current moment is determined and recommended based on the average recommended vehicle speed and the operation characteristic information of other vehicles, the dynamic information of the current road can be analyzed through real-time internet-of-vehicles data, the passing vehicle speed of the vehicle is dynamically corrected in real time, and the fuel consumption under the actual operation working condition is greatly reduced; the oil-saving control system has the advantages that the operation requirement is met, the oil consumption in actual use is lowest, and the oil-saving control system is more energy-saving, environment-friendly and economical under various complex external environments.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in the embodiments provided herein can include at least one of non-volatile and volatile memory. Non-volatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical storage, or the like. Volatile Memory can include Random Access Memory (RAM) or external cache Memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.

The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.

The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims

1. A method of determining a recommended vehicle speed of a vehicle, the method comprising:

2. The method according to claim 1, wherein the determining the average recommended speed of the user vehicle on each running section of the preset running route based on the matching recommendation of the user vehicle based on the economic vehicle speed model according to the vehicle-related information and the route-related information of the user vehicle comprises:

3. The method according to claim 1 or 2, wherein the step of establishing the economic vehicle speed model includes:

4. The method according to claim 1, wherein the determining the real-time recommended speed of the corresponding operation section of the user vehicle at the current moment according to the average speed of the user vehicle and the operation characteristic information of the other vehicles comprises:

5. The method of claim 4, wherein comparing the average recommended vehicle speed of the user vehicle with the vehicle speed threshold value and determining the real-time recommended vehicle speed of the corresponding travel section of the user vehicle at the current time based on the comparison comprises:

6. The method according to claim 1, wherein the determining and recommending the real-time recommended speed of the corresponding operation section of the user vehicle at the current time according to the average recommended speed of the user vehicle and the operation characteristic information of the other vehicles comprises:

7. The method of claim 1, further comprising:

8. A recommended vehicle speed determination device for a vehicle, characterized by comprising:

9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 7.

10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.