TWI773880B - Vehicle fuel consumption predicting method, vehicle navigation method and electronic device - Google Patents

Abstract

The present invention provides a vehicle fuel consumption predicting method including: obtaining a route to be traveled by a current vehicle to a target location; obtaining a future driving state of the current vehicle traveling along the route to be traveled, wherein the future driving state includes at least a future traveling speed of the current vehicle on the route to be traveled, and the future traveling speed is an average traveling speed of the vehicle traveling on the route to be traveled; predicting the future fuel consumption of the current vehicle according to the future driving state and the route to be traveled. The present invention also provides a vehicle navigation method and an electronic device. The vehicle fuel consumption predicting method, the vehicle navigation method, and the electronic device of the present invention can make the vehicle fuel consumption prediction more accurate.

Description

Vehicle fuel consumption prediction method, vehicle navigation method and electronic device

Embodiments of the present invention relate to the technical field of vehicle management, and in particular, to a vehicle fuel consumption prediction method, a vehicle navigation method, and an electronic device.

With the development of automobile technology, the increasingly severe pressure of environmental deterioration and the crisis of oil depletion, people are paying more and more attention to the fuel consumption of automobiles. There are many factors affecting the fuel consumption of vehicles, such as speed, driving habits of drivers and so on. Among them, speed, as an important factor affecting vehicle fuel consumption, is widely used in the calculation and prediction of vehicle fuel consumption.

However, the inventors of the present invention found that, in the prior art, the future fuel consumption of the vehicle is usually predicted according to the average speed of the vehicle in the past period of time. However, since the driving speed of the vehicle will be greatly affected by the road conditions, the driving speed of the vehicle will change greatly in a short period of time. Therefore, this method uses the average speed of the vehicle in the recent period to predict the future fuel consumption of the vehicle. The accuracy of the calculation method is poor.

The purpose of the embodiments of the present invention is to provide a vehicle fuel consumption prediction method, a vehicle navigation method and an electronic device, so as to make the prediction of the future fuel consumption of the vehicle more accurate.

In order to solve the above technical problem, the implementation method of the present invention provides a vehicle fuel consumption prediction method, which includes: acquiring a current vehicle to travel to a target position to travel a route; The future driving state at least includes the future driving speed of the current vehicle on the to-be-driving route, and the future driving speed is the driving speed of the vehicle on the to-be-driving route; according to the future driving state and the to-be-driving route Driving route, predicting the future fuel consumption of the current vehicle.

The implementation method of the present invention also provides a vehicle navigation method, which includes: obtaining the starting position and target position of the current vehicle; obtaining all driving routes between the starting position and the target position; and predicting the fuel consumption of the vehicle according to the foregoing The method predicts the future fuel consumption of the current vehicle traveling along each of the travel routes to the target position; obtains the travel route corresponding to the minimum value of the future fuel consumption as the target travel route; according to the target The driving route navigates the current vehicle.

Embodiments of the present invention also provide an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores a program executable by the at least one processor. Instructions, the instructions being executed by the at least one processor to enable the at least one processor to execute the vehicle fuel consumption prediction method as previously described.

Compared with the prior art, the embodiment of the present invention takes the average speed of the vehicles traveling on the to-be-driving route as the future driving speed of the current vehicle after obtaining the to-be-driving route of the current vehicle, and predicts the current The future fuel consumption of the vehicle. Because the average speed of the vehicles on the route to be driven can well represent the actual road conditions on the route to be driven, compared with the prior art, the average vehicle speed in the previous period of time of the current vehicle is regarded as the current In the implementation of the present invention, it is more accurate to use the average speed of the vehicle currently driving on the route to be traveled as the future travel speed of the current vehicle. Therefore, according to the future travel speed and the route to be traveled, the prediction The future fuel consumption of current vehicles is also more accurate.

In addition, the acquiring the future driving state of the current vehicle traveling along the to-be-travel route further includes: acquiring the current vehicle's air-conditioning status, window opening status, vehicle weight, and road conditions of the to-be-travel route at the current moment One or more of the road conditions, wherein the road conditions include at least one or more of the road gradient and the current wind speed in the environment; One or more of the road conditions of the route to be traveled and the future travel speed are used as the future travel state. Since the fuel consumption of the vehicle is simultaneously affected by the opening of the air conditioner, the opening of the windows, the vehicle weight, and the road conditions of the route to be driven, the current vehicle's air conditioner opening, the opening of the windows, the vehicle weight and the And the road conditions of the route to be driven and the future driving speed are used as a reference for the future driving state, which can further improve the accuracy of future fuel consumption prediction.

In addition, the predicting the future fuel consumption of the current vehicle according to the future driving state and the to-be-driving route specifically includes: acquiring historical driving data samples of the target vehicle, wherein the target vehicle is the same as the target vehicle. For vehicles of the same current vehicle type, the historical driving data samples include different historical driving states during the historical driving of the target vehicle and historical fuel consumption per unit mileage under different historical driving states; The to-be-driving route and the historical driving data samples are used to predict the future fuel consumption of the current vehicle. Using historical driving data samples to predict future fuel consumption, the prediction result can be obtained only by comparing the historical driving state and the future driving state, without the need for complex mathematical calculations, simplifying the forecasting process.

In addition, the predicting the future fuel consumption of the current vehicle according to the future driving state, the route to be driven and the historical driving data samples specifically includes: establishing a decision tree model by using the historical driving data samples, Each node of the decision tree model includes a set of corresponding driving state value ranges and fuel consumption per mileage; the future driving state is substituted into the decision tree model as a parameter, and it is obtained that the decision tree model meets the prediction requirements. The node with the condition is set as the target node, and the preset condition is that the value range of the driving state included in the target node includes the future driving state; the fuel consumption per unit mileage included in the target node is taken as the target unit mileage fuel consumption; predict the future fuel consumption according to the to-be-traveled route and the target fuel consumption per mileage.

In addition, after obtaining the historical driving data samples of the target vehicle, the method further includes: judging whether the number of samples of the historical driving data samples is greater than a preset threshold; The historical driving data samples are used to predict the future fuel consumption of the current vehicle.

In addition, after judging whether the number of samples of the historical driving state is greater than a preset threshold, the method further includes: if not, acquiring an average value of fuel consumption per unit mileage of vehicles currently driving on the to-be-driving route as a target Fuel consumption per unit mileage; predict the future fuel consumption according to the to-be-traveled route and the target fuel consumption per unit mileage.

In addition, after judging whether the number of samples of the historical driving state is greater than a preset threshold, the method further includes: if not, acquiring factory parameters of the current vehicle, where the factory parameters at least include the current vehicle in each driving state The standard unit mileage fuel consumption under the standard unit mileage; obtain the standard corresponding to the driving state in the factory parameters that is the same as the future driving state The quasi-unit mileage fuel consumption is used as the target unit mileage fuel consumption; the future fuel consumption is predicted according to the to-be-traveled route and the target unit mileage fuel consumption.

In addition, the acquiring the future driving state of the current vehicle traveling along the to-be-travel route specifically includes: dividing the to-be-travel route into a plurality of to-be-travel sections; separately predicting the future of the road section corresponding to each of the to-be-travel sections Driving state; predicting the future fuel consumption of the current vehicle according to the future driving state of the road section and the to-be-driving route, specifically includes: predicting the future driving state of each of the road sections and the to-be-driving road section, predicting the future fuel consumption of the current vehicle The future fuel consumption of each road segment to be driven; the sum of the future fuel consumption of the road segments is taken as the future fuel consumption of the current vehicle. Subdivide the route to be driven into multiple sections to be driven, calculate the future fuel consumption of each section to be driven separately, and use the sum of the future fuel consumption of the road section as the future fuel consumption of the entire route to be driven to further improve the forecast accuracy of results.

S101~S103, S201~S204, S501~S506, S601~S606, S701~S705‧‧‧Steps

801‧‧‧processor

802‧‧‧Memory

One or more embodiments are exemplified by the pictures in the corresponding drawings, and these exemplifications do not constitute limitations of the embodiments, and elements with the same reference numerals in the drawings are denoted as similar elements, Unless otherwise stated, the figures in the accompanying drawings do not constitute a scale limitation.

FIG. 1 is a flow chart of the core steps of an embodiment of the present invention.

FIG. 2 is a flow chart of the vehicle fuel consumption prediction method provided by the first embodiment of the present invention.

FIG. 3 is a schematic diagram illustrating that the fuel consumption of the vehicle is affected by the opening of the air conditioner and the opening of the vehicle window.

FIG. 4 is a schematic diagram of the influence of vehicle fuel volume on vehicle weight.

FIG. 5 is a flow chart of a vehicle fuel consumption prediction method provided by the second embodiment of the present invention.

FIG. 6 is a flow chart of a vehicle fuel consumption prediction method provided by the third embodiment of the present invention.

FIG. 7 is a program flow chart of the vehicle navigation method provided by the fourth embodiment of the present invention.

FIG. 8 is a flow chart of a program of the electronic device provided by the fifth embodiment of the present invention.

In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the various embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, those of ordinary skill in the art can appreciate that, in the various embodiments of the present invention, many technical details are set forth for the reader to better understand the present invention. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present invention can be realized.

Referring to FIG. 1 , the core of the embodiment of the present invention lies in: step S101 : acquiring the to-be-traveled route of the current vehicle traveling to the target position. Step S102 : obtaining the future driving state of the current vehicle along the to-be-travel route, the future-travel state at least includes the current vehicle's future travel speed on the to-be-travel route, and the future travel speed is the average travel speed of the vehicle on the to-be-travel route. Step S103: Predict the future fuel consumption of the current vehicle according to the future driving state and the to-be-driving route. The embodiment of the present invention makes the prediction of the future fuel consumption of the vehicle more accurate by taking the average traveling speed of the vehicle traveling on the to-be-driving route as the future traveling speed of the current vehicle, and predicting the future fuel consumption of the current vehicle according to the future traveling speed. The error of the prediction result is smaller. The implementation details of the vehicle fuel consumption prediction method provided by this embodiment will be specifically described below. The following content is only provided for the convenience of understanding, and is not necessary for implementing this solution.

The first embodiment of the present invention relates to a vehicle fuel consumption prediction method. The specific process is shown in FIG. 2 , including:

Step S201: Acquire a to-be-driving route for the current vehicle to travel to the target position.

Specifically, in this step, the terminal first obtains the current position of the current vehicle and the target position input by the user on the terminal, and obtains the driving route from the current position to the target position as the to-be-driving route according to the navigation software. It can be understood that the current position may be the position input by the user on the terminal, or may be the position of the current vehicle located through the global positioning system GPS, which may be specifically determined according to the actual situation.

Step S202: Obtain the future driving state of the current vehicle traveling along the to-be-driving route.

Specifically, in this step, the future traveling state at least includes the future traveling speed of the current vehicle traveling to the target position. The future travel speed is the average travel speed of the vehicle currently in the travel state on the route to be traveled.

In addition, in the present embodiment, the future driving state further includes one or more of the air conditioner opening status, the window opening status, the vehicle weight, and the driving road condition when the current vehicle is driving on the to-be-driving route. It should be noted that, as shown in Figure 3, there is a certain relationship between the fuel consumption of the vehicle and the opening of the vehicle's air conditioner and the opening of the window. When the air conditioner is turned on, the fuel consumption of the vehicle in the same driving state is higher. When the window is opened, the fuel consumption of the vehicle is also greater under the same driving state. As shown in Figure 4, there is also a certain relationship between the fuel consumption of the vehicle and the weight of the vehicle. The greater the vehicle weight, the greater the fuel consumption of the vehicle. The vehicle weight includes the overall weight of the vehicle, that is The total weight of the vehicle including the weight of the vehicle itself, the weight of the loaded cargo, and the weight of the passengers. In addition, the driving road conditions also affect the fuel consumption of the vehicle, wherein the driving road conditions include one or more of the current wind speed of the environment, the road gradient, the degree of road potholes, and the number of curves. It can be understood that the above-mentioned air conditioner opening status, vehicle weight and ambient wind speed are only examples of some influencing factors in this embodiment, and there are many factors that affect the fuel consumption of vehicles, such as the opening of the windows, the environment, etc. Wind direction, etc., are not listed here, and can be selected according to the actual situation.

Further, in this embodiment, the air-conditioning opening situation of the current vehicle at the current moment is obtained as the air-conditioning opening situation of the current vehicle when it is traveling on the route to be driven, and the window opening situation of the current vehicle at the current time is obtained as the current vehicle's opening situation. The window opening situation when driving on the to-be-driving route, obtain the vehicle weight of the current vehicle at the current moment as the vehicle weight of the current vehicle when driving on the to-be-driving route, and obtain the driving road conditions of the to-be-driving route at the current moment as the current vehicle Future driving conditions when driving on the route to be driven.

Step S203: Obtain historical driving data samples of the target vehicle.

Specifically, in this step, the target vehicle is a vehicle of the same type as the current vehicle, and the historical driving data samples include historical driving states of the target vehicle and historical fuel consumption per unit mileage in each historical driving state. The content contained in the historical driving state is the same as the content contained in the future driving state. That is, if the future driving state includes the future driving speed and vehicle weight, the historical driving state must also include the historical driving speed and vehicle weight of the target vehicle.

Step S204: Predict the future fuel consumption of the current vehicle according to the future driving state, the route to be driven and the historical driving data samples.

Specifically, a decision tree model is first established by using historical driving data samples, and each node of the decision tree model includes a set of corresponding driving state value ranges and fuel consumption per mileage. In this embodiment, the decision tree model is layered according to the types of driving states included in the historical driving data samples, and each layer represents one type of driving state. Then, the future driving state is substituted into the decision tree model as a parameter, and a node that satisfies a preset condition in the decision tree model is obtained as the target node, wherein the preset condition is that the value range of the driving state included in the target node includes the future driving state, and obtain The fuel consumption per unit mileage contained in the target node is used as the target unit mileage fuel consumption.

According to the target fuel consumption per mileage and the to-be-driving route, the future fuel consumption of the current vehicle traveling along the to-be-traveled route to the target position is calculated.

Compared with the prior art, in the first embodiment of the present invention, the average speed of vehicles traveling on the route to be traveled is taken as the future traveling speed of the current vehicle, because the average speed of vehicles traveling on the route to be traveled can well characterize the vehicle to be traveled. The actual road conditions on the route, compared with the practice of "taking the average speed of the current vehicle in the previous period as the future driving speed of the current vehicle" in the prior art, the average speed of the vehicles traveling on the route to be driven is used as the future driving speed of the current vehicle. The speed is more accurate, so that the prediction of the future fuel consumption of the vehicle is more accurate, and the error of the prediction result is smaller. Further, multiple driving states are used to jointly predict future fuel consumption, which further improves the accuracy of prediction. In addition, the historical driving data samples are used as comparison samples, and the future fuel consumption can be directly obtained through comparison, which simplifies the prediction process without complicated mathematical calculations.

A second embodiment of the present invention relates to a vehicle fuel consumption prediction method. The second embodiment is substantially the same as the first embodiment, and the main difference is that: in the first embodiment, the future fuel consumption is obtained by using the historical driving state. However, in the second embodiment of the present invention, the average fuel consumption of the vehicles traveling on the route to be driven can also be used as the future fuel consumption of the current vehicle. As shown in Figure 5, including:

Step S501: Acquire a to-be-driving route for the current vehicle to travel to the target position.

Step S502: Obtain the future driving state of the current vehicle traveling along the to-be-driving route.

Step S503: Obtain a sample of the historical travel quantity of the target vehicle

Since steps S501 to S503 in this embodiment are substantially the same as steps S201 to S203 in the first embodiment, they will not be repeated here.

Step S504: Determine whether the number of samples of historical driving data samples is greater than the preset threshold, if yes, go to Step S505, if not, go to Step S506.

Specifically, in this step, the number of samples of historical driving data samples is first obtained, and then it is determined whether the number of samples is greater than a preset threshold, if yes, go to step S505, if not, go to step S506. The preset threshold can be flexibly set according to actual needs, which is not limited here.

Step S505: Predict the future fuel consumption of the current vehicle according to the future driving state, the route to be driven and the historical driving data samples.

Since step S506 in this embodiment is substantially the same as step S204 in the first embodiment, it will not be repeated here.

Step S506: Obtain the average fuel consumption of the vehicles traveling on the route to be driven as the future fuel consumption.

Specifically, in this step, the fuel consumption per unit mileage of each vehicle traveling on the route to be driven is first obtained, the average value of the fuel consumption per unit mileage of each vehicle traveling on the route to be driven is calculated, and the average value is taken as Target fuel consumption per mileage. Then, according to the target fuel consumption per unit mileage and the to-be-driving route, the future fuel consumption of the current vehicle traveling along the to-be-traveled route to the target position is calculated.

Compared with the prior art, in the second embodiment of the present invention, the average speed of the vehicles traveling on the route to be traveled is taken as the future traveling speed of the current vehicle, because the average speed of the vehicles traveling on the route to be traveled can well characterize the traveling speed of the vehicle to be traveled. actual road conditions on the route, compared to In the prior art practice of "taking the average speed of the current vehicle in the previous period as the future speed of the current vehicle", it is more accurate to use the average speed of the vehicles traveling on the route to be driven as the future speed of the current vehicle, thereby making the vehicle more accurate. The prediction of future fuel consumption is more accurate, and the error of the prediction results is smaller. Further, multiple driving states are used to jointly predict future fuel consumption, which further improves the accuracy of prediction. In addition, when the number of samples of historical driving data samples is greater than the preset threshold, the historical driving data samples are used as comparison samples, and the future fuel consumption can be directly obtained through comparison without complicated mathematical calculations, which simplifies the prediction process. When the number of samples of historical driving data samples is not greater than the preset threshold, the future fuel consumption is predicted based on the average fuel consumption of the vehicles on the route to be driven, which also simplifies the prediction process without performing complex mathematical calculations.

A third embodiment of the present invention relates to a vehicle fuel consumption prediction method. The third embodiment is substantially the same as the first embodiment, and the main difference is that: in the first embodiment, the future fuel consumption is obtained by using the historical driving state. However, in the second embodiment of the present invention, the future fuel consumption can also be predicted based on the factory parameters of the current vehicle. As shown in Figure 6, including:

Step S601: Acquire a to-be-driving route for the current vehicle to travel to the target position.

Step S602: Obtain the future driving state of the current vehicle traveling along the to-be-driving route.

Step S603: Obtain historical driving data samples of the target vehicle.

Step S604: Determine whether the number of samples of historical driving data samples is greater than the preset threshold, if yes, go to step S605, if not, go to step S606.

Step S605: Predict the future fuel consumption of the current vehicle according to the future driving state, the route to be driven and the historical driving data samples.

Since steps S601 to S605 in this embodiment are different from those in the second embodiment Steps S501 to S505 are substantially the same, and are not repeated here.

Step S606: Obtain the factory parameters of the current vehicle, and predict the future fuel consumption according to the factory parameters and the future driving state.

Specifically, in this step, the factory parameters of the current vehicle are obtained, and the factory parameters at least include the fuel consumption per unit mileage of the current vehicle in each driving state value range. Obtain the value range of the driving state including the future driving state in the production parameters, and obtain the corresponding fuel consumption per mileage as the target fuel consumption per mileage; predict the future fuel consumption according to the route to be driven and the target fuel consumption per mileage oil quantity.

Compared with the prior art, in the third embodiment of the present invention, the average speed of vehicles traveling on the route to be traveled is taken as the future traveling speed of the current vehicle, because the average speed of vehicles traveling on the route to be traveled can well characterize the traveling speed of the vehicle to be traveled. The actual road conditions on the route, compared with the practice of "taking the average speed of the current vehicle in the previous period as the future driving speed of the current vehicle" in the prior art, the average speed of the vehicles traveling on the route to be driven is used as the future driving speed of the current vehicle. The speed is more accurate, resulting in a more accurate prediction of the future fuel consumption of the vehicle. Further, multiple driving states are used to jointly predict future fuel consumption, which further improves the accuracy of prediction. In addition, when the number of samples of historical driving data samples is greater than the preset threshold, the historical driving data samples are used as comparison samples, and the future fuel consumption can be directly obtained through comparison without complicated mathematical calculations, which simplifies the prediction process. When the number of samples of historical driving data samples is not greater than the preset threshold, the future fuel consumption is predicted according to the comparison between the current vehicle's factory parameters and the future driving state, which also simplifies the prediction process without complicated mathematical calculations.

In addition, in other embodiments of the present invention, the to-be-traveled route may also be divided into a plurality of to-be-traveled road sections, and the future travel status of the road sections corresponding to each to-be-traveled road section can be obtained separately. According to the future driving state of the road section and the vehicle fuel consumption prediction method provided in the preceding embodiment, predict the future fuel consumption of the road section corresponding to each driving section, and sum up the future fuel consumption of all road sections to obtain the current vehicle along the road to be driven. The future fuel consumption of the route to the target location.

The fourth embodiment of the present invention relates to a vehicle navigation method, as shown in FIG. 7 , including:

Step S701: Obtain the starting position and target position of the current vehicle.

Specifically, in this embodiment, the starting position may be the position input by the user, or may be the position of the current vehicle located through the global positioning system GPS, which is not limited herein. The target location is the location entered by the user. It can be understood that in this embodiment, the target location can be a specific geographic location, such as No. XX Street, Nanshan District, Shenzhen, Guangdong Province, or it can be a landmark name, such as a park, a gas station, a convenience store, an Internet cafe, etc. .

Step S702: Acquire all driving routes between the starting position and the target position.

Specifically, in this embodiment, when the target position is a specific geographic location, all travel routes from the starting position to the target position are acquired. When the target location is a landmark name, after acquiring all landmarks within a certain range, acquire all driving routes from the current location to all landmarks.

Step S703: Predict the future fuel consumption of the current vehicle traveling to the target position along each of the travel routes according to the vehicle fuel consumption prediction method.

Specifically, in this step, the vehicle fuel consumption prediction method is the vehicle fuel consumption prediction method provided by the above embodiment.

Step S704: Obtain the driving corresponding to the minimum value of the future fuel consumption The route serves as the target travel route.

Step S705: Navigate the current vehicle according to the target driving route.

Compared with the prior art, the vehicle navigation method provided by this embodiment obtains all the driving routes between the starting position and the target position of the current vehicle, and predicts each driving route separately according to the vehicle fuel consumption prediction method provided by the above embodiment. the fuel consumption, and navigate the vehicle according to the driving route with the least fuel consumption. Select the driving route with the least fuel consumption to navigate the vehicle, so as to effectively save the fuel consumption of the car.

The step division of the above various methods is only for the purpose of describing clearly, and can be combined into one step or split into some steps during implementation, and decomposed into multiple steps, as long as the same logical relationship is included, all are within the protection scope of this patent; Adding insignificant modifications to the algorithm or process or introducing insignificant designs without changing the core design of the algorithm and process are within the scope of protection of this patent.

The fifth embodiment of the present invention relates to an electronic device, as shown in FIG. 8 , comprising: at least one processor 801 ; and a memory 802 communicatively connected to the at least one processor 801 ; wherein the memory 802 stores data that can be processed by the at least one processor The instructions executed by the processor 801 are executed by the at least one processor 801, so that the at least one processor 801 can execute the vehicle fuel consumption prediction method as described above.

The memory 802 and the processor 801 are connected by a bus, and the bus may include any number of interconnected buses and bridges, and the bus connects one or more processors 801 and various circuits of the memory 802 together. The bus can also connect together various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, because Therefore, it will not be further described in this paper. The bus interface provides the interface between the bus and the transceiver. A transceiver may be a single element or multiple elements, such as multiple receivers and transmitters, providing a means for communicating with various other devices over a transmission medium. The data processed by the processor 801 is transmitted on the wireless medium through the antenna, and further, the antenna also receives the data and transmits the data to the processor 801 .

The processor 801 is responsible for managing the bus and general processing, and may also provide various functions including timing, peripheral interface, voltage regulation, power management, and other control functions. The memory 802 may be used to store data used by the processor 801 when performing operations.

Those of ordinary skill in the art can understand that the above-mentioned embodiments are specific examples for realizing the present invention, and in practical applications, various changes can be made in form and details without departing from the spirit and scope of the present invention.

Steps S101~S103‧‧‧

Claims (6)

A method for predicting fuel consumption of a vehicle, comprising the following steps: obtaining a route to be traveled by a current vehicle to a target position; One or more of the road conditions, wherein the road conditions include at least one or more of the road gradient and the current wind speed of the environment; obtain a future driving state of the current vehicle traveling along the to-be-driving route, the future driving state It includes at least one or more of the current vehicle's air conditioner opening status, window opening status, vehicle weight, and the road conditions of the to-be-travel route and a future speed of the current vehicle on the to-be-travel route , the future driving speed is the driving speed of the vehicle traveling on the route to be driven; a historical driving data sample of a target vehicle is obtained, wherein the target vehicle is a vehicle of the same type as the current vehicle, and the historical driving data sample includes Different historical driving states of the target vehicle during the historical driving process and historical fuel consumption per unit mileage under different historical driving states; judging whether the number of samples of the historical driving data samples is greater than a preset threshold; using the historical driving data samples to establish a Decision tree model, each node of the decision tree model includes a set of corresponding value ranges of a driving state and fuel consumption per unit mileage; substitute the future driving state as a parameter into the decision tree model, and obtain the satisfaction of the decision tree model. A node with a preset condition is used as a target node, and the preset condition is that the value range of the driving state included in the target node includes the future driving state; Taking the fuel consumption per unit mileage included in the target node as a target fuel consumption per unit mileage; and predicting a future fuel consumption amount according to the to-be-traveled route and the target fuel consumption per unit mileage. According to the method for predicting vehicle fuel consumption according to item 1 of the scope of application, further comprising: judging whether the number of samples of the historical driving data sample is greater than a preset threshold; if not, obtaining the unit mileage consumption of the vehicle currently driving on the to-be-driving route The average value of the fuel consumption is used as the target fuel consumption per unit mileage; and the future fuel consumption is predicted according to the to-be-traveled route and the target fuel consumption per unit mileage. The method for predicting vehicle fuel consumption according to item 1 of the scope of application for a patent further includes: judging whether the number of samples of the historical driving data samples is greater than a preset threshold; if not, acquiring a factory parameter of the current vehicle, the factory parameter including at least the The standard unit mileage fuel consumption of the current vehicle in each of the driving state value ranges; in obtaining the factory parameters, the standard unit mileage fuel consumption corresponding to the driving state value range including the future driving state is taken as the target unit mileage fuel consumption; and predicting the future fuel consumption according to the to-be-traveled route and the target fuel consumption per unit mileage. The method for predicting vehicle fuel consumption according to item 1 of the scope of application, wherein acquiring the future driving state of the current vehicle traveling along the to-be-travel route further includes: dividing the to-be-travel route into a plurality of to-be-travel segments; predicting each The future driving state of the road section corresponding to the road section to be driven; and predicting the future fuel consumption of the current vehicle according to the future driving state of the road section and the to-be-driving route, further comprising: According to the future driving state of each road section and the road section to be driven, predict the future fuel consumption of each road section of the road section to be driven; and use the sum of the future fuel consumption of the road section as the future fuel consumption of the current vehicle. A vehicle navigation method, comprising the following steps: obtaining a starting position and a target position of a current vehicle; obtaining all driving routes between the starting position and the target position; Any one of the vehicle fuel consumption prediction method predicts the future fuel consumption of the current vehicle traveling along each of the driving routes to the target position; obtaining the driving route corresponding to the minimum value of the future fuel consumption as a target driving route; and navigating the current vehicle according to the target driving route. An electronic device includes: at least one processor; and a memory communicatively connected to the at least one processor. Wherein, the memory stores an instruction that can be executed by the at least one processor, and the instruction is executed by the at least one processor, so that the at least one processor can execute any of the items 1 to 4 of the scope of the patent application. A method for predicting fuel consumption of the vehicle.

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