WO2020047862A1

WO2020047862A1 - Method for acquiring remaining driving mileage of vehicle, electronic device, and vehicle

Info

Publication number: WO2020047862A1
Application number: PCT/CN2018/104684
Authority: WO
Inventors: 阳光
Original assignee: 深圳配天智能技术研究院有限公司
Priority date: 2018-09-07
Filing date: 2018-09-07
Publication date: 2020-03-12
Also published as: CN111670340B; CN111670340A

Abstract

A method for acquiring the remaining driving mileage of a vehicle, an electronic device, and the vehicle. The method for acquiring the remaining driving mileage of the vehicle comprises: acquiring the current location and the current remaining energy of the vehicle (101); acquiring past driving data of a user (102); determining the remaining driving mileage of the vehicle on the basis of the past driving data of the user, of the current location of the vehicle, and of the current remaining energy thereof (103). By acquiring the current location and the current remaining energy of the vehicle and combining the past driving data of the user, the remaining driving mileage of the vehicle is determined, thus allowing a smarter and more accurate estimation of the remaining driving mileage of the vehicle, and enhancing user experience.

Description

Method for obtaining remaining mileage of vehicle, electronic equipment and vehicle

[Technical Field]

The present application relates to the technical field of vehicles, and in particular, to a method for acquiring a remaining mileage of a vehicle, an electronic device, and a vehicle.

【Background technique】

The increasingly serious problems of the energy crisis, environmental pollution, and greenhouse effect have made new energy vehicles an inevitable trend in the automotive industry. Pure electric vehicles have the advantages of high efficiency, energy saving, and zero terminal emissions. They have attracted widespread attention from governments and enterprises. The estimation of the remaining mileage of pure electric vehicles can give drivers a good reminder, which has become one of the focuses of research in the field of pure electric vehicles. One. Because the driving force of pure electric vehicles is battery-powered, their cruising range is limited, and the current coverage of charging points is low, which makes it extremely easy to break down due to power exhaustion. The method for estimating the remaining mileage of a pure electric vehicle in the prior art is generally a rough estimation based on the remaining electric capacity of the pure electric vehicle and the average energy consumption of the pure electric vehicle. However, the average energy consumption of different road sections is different, which results in that this method can only roughly estimate the remaining mileage.

[Summary of the Invention]

The purpose of this application is to provide a method for obtaining the remaining mileage of a vehicle, an electronic device, and a vehicle, so as to solve the problem of inaccurate estimation of the remaining mileage of the vehicle in the prior art.

In order to solve the above technical problems, the first technical solution adopted in the present application is to provide a method for acquiring the remaining mileage of a vehicle. The method for acquiring the remaining mileage of the vehicle includes: obtaining the current position of the vehicle and the current remaining energy; User historical driving data; determine the remaining driving mileage of the vehicle according to the user historical driving data, the current position of the vehicle, and the current remaining energy.

In order to solve the above technical problem, the second technical solution adopted in the present application is to provide an electronic device based on a method for acquiring a remaining mileage of a vehicle, including a memory and a processor, where the processor is connected to the memory, and the The memory is configured to store a computer program executed by the processor and intermediate data generated when the processor executes the computer program; when the processor executes the computer program, the processor implements any one of the claims above. To obtain the remaining mileage of the vehicle.

In order to solve the above technical problem, a third technical solution adopted in the present application is to provide a vehicle, which includes the electronic device based on the method for obtaining a remaining mileage of a vehicle.

In order to solve the above technical problem, the fourth technical solution adopted in the present application is to provide a device with a storage function, the device with the storage function stores program data, and the program data can be executed to implement any of the above. The method for acquiring a remaining mileage of a vehicle.

The beneficial effect of the present application is: Different from the situation of the prior art, the present application determines the remaining mileage of the vehicle by acquiring the current position of the vehicle, the current remaining energy, and the historical driving data of the user, thereby more intelligently and accurately estimating the vehicle The remaining mileage of the car will improve the user experience.

[Brief Description of the Drawings]

FIG. 1 is a schematic flowchart of an embodiment of a method for obtaining a remaining mileage of a vehicle of the present application;

2 is a schematic structural diagram of an embodiment of an electronic device based on a method for acquiring a remaining mileage of a vehicle according to the present application;

FIG. 3 is a schematic structural diagram of an embodiment of a device with a storage function according to the present application.

【detailed description】

In order to make the technical problems solved, the technical solutions adopted, and the technical effects achieved in this application clearer, the technical solutions in the embodiments of the present application will be further described in detail below with reference to the accompanying drawings.

Referring to FIG. 1, FIG. 1 is a schematic flowchart of an embodiment of a method for obtaining a remaining mileage of a vehicle of the present application.

In this embodiment, a method for acquiring a remaining mileage of a vehicle includes the following steps:

Step 101: Obtain the current position of the vehicle and the current remaining energy.

In this embodiment, the remaining energy may be electric power, oil quantity, etc. The vehicle may be a vehicle powered by electric energy, a vehicle powered by fuel oil or gas, a vehicle powered by other energy sources, and a hybrid vehicle. This is not limited. For pure electric vehicles, the current remaining energy of the vehicle is the current remaining power of the battery of the pure electric vehicle; for fuel vehicles, the current remaining energy of the vehicle is the current remaining fuel of the fuel vehicle; for gas vehicles, the current remaining energy of the vehicle is Is the current remaining gas volume of a gas vehicle; for a hybrid vehicle, for example, a common gasoline-electric hybrid vehicle, the current remaining energy of the vehicle is the current remaining power and remaining fuel of the hybrid vehicle.

In this embodiment, the electronic device obtains the remaining electric power and / or the fuel quantity of the vehicle. Among them, the electronic device is wired or wirelessly connected to the vehicle, and is used to collect and process various parameters of the vehicle. The electronic device may be a mobile phone, a personal computer, an iPad, or a device provided by the vehicle, which is not limited in this application.

In this embodiment, the electronic device needs to first obtain the current position of the vehicle. In order to more accurately estimate the remaining mileage that the vehicle can drive under the current power and / or fuel quantity, specifically, in a specific embodiment, the current position of the vehicle may be provided by a navigation system set on the vehicle, such as global positioning The system GPS gets the current coordinates. In another specific implementation manner, the electronic device may also obtain the current position of the user according to the current position information input by the user. The user may input the current position to the electronic device through language input, text input, etc. limited. In yet another specific embodiment, the electronic device may obtain the current position through a sensor provided on the vehicle. In other embodiments, the current position of the vehicle may be obtained according to other methods, which is not limited in this application.

In this embodiment, the electronic device needs to obtain the current remaining power and / or fuel quantity of the vehicle. In a specific implementation scenario, the current remaining power of the vehicle can be based on the SOC (full name State of Charge) of the power battery, which is the state of charge of the battery, also known as the remaining power, which represents the battery after a period of use or after long periods of unused use The ratio of the remaining capacity of the battery to its fully-charged capacity is usually expressed as a percentage. The value ranges from 0 to 100%. When SOC = 0, the battery is fully discharged, and when SOC = 100%, the battery is fully charged. The current remaining fuel quantity of the vehicle can be obtained according to the fuel gauge.

Step 102: Obtain historical driving data of the user.

In this embodiment, the electronic device acquires historical driving data of the user, wherein the historical driving data of the user includes energy consumption of the vehicle during historical driving on a preset road section. Energy consumption includes power consumption, fuel consumption, and so on. The user historical travel data is the travel data of the vehicle in the previous trip. The electronic device records and stores the driving data of the vehicle on a road section after the vehicle has driven a road section to obtain the energy consumption information of the vehicle during historical driving on a preset road section. The storage time of the user's historical driving data is determined according to the actual situation, such as 1 month, 15 days, 7 days, etc., which is not limited in this application.

In a specific embodiment, the historical driving data of the user includes the driving speed, load, initial value of electric power, and final value of electric power of the vehicle on the preset road section. In other embodiments, the historical driving data of the user may also include other driving data of the vehicle in the preset road section, which is not limited in this application.

The order of the

above steps

101 and 102 can be interchanged.

Step 103: Determine the remaining mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy.

In this embodiment, the electronic device determines the remaining driving mileage of the vehicle according to the user's historical driving data, the current position of the vehicle, and the current remaining energy. After determining the remaining driving mileage of the vehicle according to the user's historical driving data, the current position of the vehicle, and the current remaining energy, the remaining driving mileage of the vehicle is output, and a prompt message is issued. The prompt information includes the accuracy of the determination result of the remaining mileage of the vehicle.

In a specific embodiment, after obtaining the current position of the vehicle, the current remaining energy, and the historical driving data of the user, the electronic device first determines whether the current driving position of the user includes the current position of the vehicle; if the historical driving data of the user does not include The current position of the vehicle is used to obtain map data and determine whether the vehicle is set to a destination. The remaining mileage of the vehicle is determined based on the map data, historical driving data of the user, the current position of the vehicle, and the current remaining energy. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The electronic device obtains the current position of the vehicle as the D road section. The electronic device determines that the preset road section in the user's historical driving data does not include the D road section. , It means that the vehicle is driving on a new route, and the electronic device determines whether the vehicle has a destination set.

Further, if the historical driving data of the user does not include the current position of the vehicle and the vehicle is set to a destination, map data is obtained, where the map data includes link parameter information of each link. The remaining mileage of the vehicle is determined according to the map data, the historical driving data of the user, the current position of the vehicle, and the current remaining power. In other embodiments, if the user ’s historical driving data does not include the current position of the vehicle, the map data may be obtained first, and then the vehicle is set to a destination, or the map data is also determined to determine whether the vehicle is set to a destination. This is not limited. Specifically, the information source of the map data may be a network. For example, the map data collected by a third party may be directly used, or the vehicle may be equipped with corresponding sensors for data collection. When using sensors on the vehicle to collect, it mainly collects the road conditions of various sections, such as slope, distance, basic information on the road surface, road smoothness, and average driving speed. For example, the map data of section A is: slope 10 °, distance 5km, average driving speed 16km, road information is asphalt road, and patency is 5. Specifically, the road patency can be obtained through sensors to obtain the operating status of the vehicle. Whether the current user is stepping on the accelerator or the brake, the depth of the step, and the time interval of the step, these data can be used to help determine the degree of road patency on the current driving section. . The average driving speed can be acquired by a speed sensor at a preset frequency.

Further, if the user ’s historical driving data does not include the current position of the vehicle and the vehicle is set to a destination, map data is obtained, where the map data includes link parameter information for each link. The driving route of the vehicle is obtained according to the current location and destination, and the remaining driving mileage of the vehicle is determined according to the map data, the historical driving data of the user, the driving route of the vehicle, and the current remaining energy. The electronic device can plan the driving route for the vehicle according to the map data, the current position and the destination, or can access the GPS system to obtain the driving route of the vehicle from the GPS system, which is not limited in this application. Preferably, comprehensively considering road conditions, distances, and average energy consumption of each road section in big data, etc., the driving route is planned according to the user's current location and the user's destination to determine the most power-saving driving route. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The electronic device obtains the current position of the vehicle as the D road section. The electronic device determines that the preset road section in the user's historical driving data does not include the D road section. , It means that the vehicle is driving on a new route, and the electronic device determines whether the vehicle has a destination set. The electronic device determines that the historical driving data of the user does not include the D segment of the current position of the vehicle, and the vehicle is set to the F segment, and obtains map data. The electronic device obtains the driving route of the vehicle according to the current position D section and the destination F section. Specifically, first, the correspondence between the map data of the preset road section and the user's historical driving data should be analyzed according to the historical driving data of the user. For example, the map data of the A section is: slope 10 °, distance 5km, average driving speed 16km, and road information is Asphalt road with a patency of 5. The user's historical driving data of users driving on the A section is: driving speed 20km / h, load 55kg, initial value of electricity 76%, final value of electricity 72%. Through the method of big data analysis and fitting, the corresponding relationship between the map data and the user's historical driving data can be analyzed, and only some data of the map data and the user's historical driving data can be provided to calculate other parts of the data. Therefore, the remaining mileage of the vehicle is determined according to the map data, the user's historical driving data, the driving route of the vehicle, and the current remaining power and / or fuel quantity.

Further, the link parameter information of each link in the driving route is obtained, and the power consumption and / or fuel consumption of each link in the driving route are determined according to the map data, the historical driving data of the user, and the link parameter information of each link in the driving route. ; Determine the remaining mileage of the vehicle according to the remaining power and / or fuel of the vehicle and the power consumption and / or fuel consumption of each section of the driving route. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The electronic device obtains the current position of the vehicle as the D road section. The electronic device determines that the preset road section in the user's historical driving data does not include the D road section. , Indicating that the vehicle is driving on a new route, and the electronic device determines whether the vehicle has a destination set. If the vehicle setting destination is the F section, map data is obtained. The electronic device obtains the driving route of the vehicle according to the current position D section and the destination F section, which is composed of D section, E section and F section. Then, according to the correspondence between the map data and historical driving data obtained by big data analysis and fitting, and the parameter information of D section, E section and F section, the power consumption of D section, E section and F section is calculated respectively. The remaining mileage of the vehicle can be determined according to the remaining power of the vehicle and the power consumption of each section of the driving route. Among them, the big data analysis fitting can be a fitting method such as multivariate fitting.

The following briefly describes the method of multivariate fitting:

There are k parameters that affect the variable y, and the k parameters are x ₁ , x ₂ , x _3, ... x _k . The N records obtained are shown in Table 1:

Table 1:

记录编号Record number	x ₁ x ₁	x ₂ x ₂	x ₃ x ₃	……...	x _k x _k	yy
11	x ₁₁ x ₁₁	x ₂₁ x ₂₁	x ₃₁ x ₃₁	……...	x _k x _k	y ₁ y ₁

22	x ₁₂ x ₁₂	x ₂₂ x ₂₂	x ₃₂ x ₃₂	……...	x _k x _k	y ₂ y ₂
……...	……...	……...	……...	……...	……...	……...
NN	x _1N x _1N	x _2N x _2N	x _3N x _3N	……...	x _k x _k	y _N y _N

The approximate equation can be selected as shown in formula (1), and y * is an approximate value of y.

Use the principle of least squares to determine all coefficients in formula (1), let

To make

When the minimum value is reached, the formula (2) is used to find the partial derivatives of a ₀ , a ₁ , a _2, ... a _k respectively, and the formula (3) is obtained by making it equal to zero.

Solve the system of equations in formula (3) to find a ₀ , a ₁ , a ₂ …… a _k , and substitute in formula (1) to find y * and k parameters x ₁ , x ₂ , x ₃ … … X _k relationship.

In this embodiment, the power consumption is y, and factors that affect the power consumption y include slope x ₁ , distance x ₂ , average driving speed x ₃ , road smoothness x ₄ , basic road information x _5, and load x ₆ . Multiple records of the user's historical driving data combined with the map data can be used to obtain multiple sets of slope x ₁ , distance x ₂ , average driving speed x ₃ , road smoothness x ₄ , basic road information x ₅ and weight x ₆ Specific values are similar to Table 1. According to the above multivariate fitting method, the relationship between the power consumption y and the slope x ₁ , the distance x ₂ , the average driving speed x ₃ , the road smoothness x ₄ , the basic road information x ₅ and the load x ₆ can be obtained. . In other embodiments, factors affecting the power consumption y may be increased or decreased according to specific conditions, which is not limited in this application.

For example, the preset road segments in the user's historical driving data are A road segment, B road segment, and C road segment. The current position of the vehicle obtained by the electronic device is the D road segment. The electronic device determines that the preset road segment in the user's historical driving data does not include the D road segment. Explain that the vehicle is driving on a new route, and the electronic device determines whether the vehicle has a destination set. If the vehicle setting destination is the F section, map data is obtained. The electronic device obtains the driving route of the vehicle according to the current position D section and the destination F section, which is composed of D section, E section and F section. Since the slopes x ₁ , distances x ₂ , average driving speeds x ₃ , road patency x ₄ , basic road information x ₅ , load x ₆ and power consumption y are known in sections A, B and C. Therefore, according to the above-mentioned multivariate fitting method, the slope x ₁ , the distance x ₂ , the average driving speed x ₃ , the road patency x ₄ , the basic road information x ₅ , the load x ₆ and the power consumption y can be obtained. Relationship. At this time, the slope x ₁ , the distance x ₂ , the average driving speed x ₃ , the road patency x ₄ , the road surface basic information x ₅ , and the weight x ₆ in the D section, the E section, and the F section in the driving route can be obtained respectively. According to the obtained slope x ₁ , distance x ₂ , average driving speed x ₃ , road patency x ₄ , driving speed x ₅ and the corresponding relationship between the load x ₆ and the power consumption, the D section and the E section can be obtained respectively. And the power consumption on the F section, and then the power consumption required for the entire driving route is obtained. The remaining mileage of the vehicle can be determined based on the remaining power of the vehicle and the power consumption of each section of the driving route. It should be noted that obtaining the correspondence between the slope x ₁ , the distance x ₂ , the average driving speed x ₃ , the road smoothness x ₄ , the driving speed x ₅ and the load x ₆ and the power consumption can be performed in advance, and the corresponding The relationship is stored in the memory for direct access when needed, and the corresponding relationship can be updated based on the new user driving data.

If the user ’s historical driving data does not include the current position of the vehicle and the vehicle is set to a destination, after determining the remaining mileage of the vehicle based on the remaining power of the vehicle and the power consumption of each section of the driving route, the remaining mileage of the vehicle is output, and Issue a prompt message. Calculate the difference between the remaining mileage of the vehicle minus the distance of the driving route, record it as the first difference, set a preset difference, and the preset difference is greater than 0. Among them, the preset difference can be determined according to market research before the vehicle leaves the factory. The front writing may also be a dynamic value that is continuously adjusted according to the use of the vehicle, which is not limited here. If the first difference is not greater than 0, then the “Not Reachable” and “Basic Accuracy” prompt messages are issued; if the first difference is not less than 0 and not greater than the preset difference, “Reluctantly Reachable” and “ Basically accurate "prompt message; if the first difference is not less than the preset difference, then" absolutely reachable "and" basically accurate "prompt messages are issued.

In a specific embodiment, the electronic device determines whether the user's current driving data includes the current position of the vehicle; if the user's historical driving data does not include the current position of the vehicle, determines whether the vehicle has a destination set; if the vehicle has no destination set , The map data is obtained, where the map data includes link parameter information of each link. Obtain the average slope value of the first road segment where the vehicle's current location is located according to the map data and the current location of the vehicle; determine the remaining mileage of the vehicle based on the average slope value of the first road segment, the user's historical driving data, and the current remaining power and / or fuel volume . For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The electronic device obtains the current position of the vehicle as the D road section. The electronic device determines that the preset road section in the user's historical driving data does not include the D road section. , Indicating that the vehicle is driving on a new route, and the electronic device determines whether the vehicle has a destination set. The electronic device determines that the vehicle does not have a destination, then obtains map data, and obtains the average slope value of D section according to the map data and the current position of the vehicle. D section; determines the vehicle based on the average slope value of D section, historical driving data of the user, and the current remaining power. Remaining miles.

Preferably, the user's historical driving data is used to find the user's historical driving data of the second road segment whose slope value is the same as the average gradient value of the first road segment; according to the user's historical driving data corresponding to the second road segment and the current remaining power and / or The amount of fuel determines the remaining mileage of the vehicle. For example, the section where the current position is located is the D section, that is, the first section is the D section. According to the map data, the average slope value of the D section is 10 degrees, and the current remaining power is 20%. By searching the user's historical driving data, the A section with the same average slope value as the D section is obtained, that is, the second section, the mileage of the A section is 10km, and the power consumption is 5%. According to the proportion, the remaining mileage of the vehicle is calculated to be 40km. .

In another specific implementation manner, if the historical driving data of the user does not include a second road segment having the same average slope value as the first road segment, the remaining driving mileage of the vehicle is obtained by interpolation based on the historical driving data of the user and the current remaining power. For example, the road segment where the current position is located is a D road segment, and the average slope value of the D road segment obtained according to the map data is 10 degrees. The user ’s historical driving data does not include the 10-degree slope, so get the A and B sections. Among them, the A section has a 5 degree slope, the mileage is 5 km, the power consumption is 5%, and the B section has a slope of 15 degrees. , Mileage is 15km, power consumption is 45%. The current remaining power is 20%. According to the bilinear difference method or other interpolation algorithms, the remaining mileage of the vehicle is 10km. Of course, in other embodiments, the above-mentioned multivariate fitting method can also be used to obtain the relationship between the slope, mileage, and power consumption according to the historical driving data of the user, and then to obtain the remaining of the D road segment according to the slope of the D road segment and the remaining power. Mileage is not limited in this application.

Further, if the user ’s historical driving data does not include the current position of the vehicle and the vehicle has no destination set, the remaining driving mileage of the vehicle is output, and a “less accurate” prompt is issued.

In a specific implementation manner, it is determined whether the current position of the vehicle is included in the historical driving data of the user; if the current position of the vehicle is included in the historical driving data of the user, the historical driving route is obtained according to the current position of the vehicle and the historical driving data of the user.

Further, obtaining the power consumption and / or fuel consumption of each preset road section of the vehicle on the historical driving route; determining the remaining driving of the vehicle according to the remaining power of the vehicle and the power consumption of each preset road section of the historical driving route. mileage. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The electronic device obtains the current position of the vehicle as the A road section, and the electronic device determines that the preset road section in the user historical driving data includes the A road section. The vehicle is driving on the old route. The electronic device obtains the road segment A and the user's historical driving data based on the location. The user follows the road segment B after the road segment A, and the road segment C after the road segment B is completed. That is, the historical driving route of the user is obtained from the historical driving data of the user. The A section, the B section and the C section obtain the power consumption and / or fuel consumption of the vehicle on the A section, the B section and the C section. Then, the remaining mileage of the vehicle is determined according to the remaining power and / or fuel of the vehicle and the power consumption and / or fuel consumption of the vehicle in the A and B sections and the C section.

Further, if the historical driving data of the user includes the current position of the vehicle, the remaining mileage of the vehicle is output, and an "accurate" prompt is issued. Since the user ’s historical driving data includes the current position of the vehicle, the power consumption and / or fuel consumption can be obtained directly from the user ’s historical driving data without the need for large data fitting calculations. Therefore, the results are The results of the fitting calculations are more accurate.

In addition, in order to obtain more reliable remaining mileage that can be driven, steps 101-103 can be repeatedly performed, for example, it can be performed every preset time, so that the remaining mileage that can be driven can be updated in real time with time and vehicle driving .

It can be known from the above description that, unlike the prior art, this application combines the energy consumption of vehicles on different road sections with the user's driving route, thereby more intelligently and accurately estimating the remaining mileage of the vehicle and improving the user experience.

Referring to FIG. 2, FIG. 2 is a schematic structural diagram of an embodiment of an electronic device based on a method for acquiring a remaining mileage of a vehicle according to the present application.

In this embodiment, the electronic device 20 includes a memory 21 and a processor 22, and the processor 22 is connected to the memory 21. The memory 21 is configured to store a computer program executed by the processor 22 and intermediate data generated by the processor 22 when the computer program is executed. ; When the processor 22 executes the computer program, the method for acquiring the remaining mileage of the vehicle as described below is implemented.

In this embodiment, the processor 22 acquires the remaining electric power and / or the fuel amount of the vehicle. The electronic device 20 is wired or wirelessly connected to the vehicle, and the processor 22 is configured to collect and process various parameters of the vehicle. The electronic device 20 may be a mobile phone, a personal computer, an iPad, or a device provided by the vehicle, which is not limited in this application.

In this embodiment, the processor 22 needs to first obtain the current position of the vehicle. In order to more accurately estimate the remaining mileage that the vehicle can drive under the current power and / or fuel quantity, specifically, in a specific embodiment, the current position of the vehicle may be provided by a navigation system set on the vehicle, such as global positioning The system GPS gets the current coordinates. In another specific implementation manner, the processor 22 may also obtain the current position of the user according to the current position information input by the user. The user may input the current position to the electronic device 20 through language input, text input, or the like. Here, No restrictions. In yet another specific embodiment, the processor 22 may obtain the current position through a sensor provided on the vehicle. In other embodiments, the processor 22 may obtain the current position of the vehicle according to other methods, which is not limited in this application.

In this embodiment, the processor 22 needs to obtain the current remaining power and / or fuel quantity of the vehicle. In a specific implementation scenario, the current remaining power of the vehicle can be based on the SOC (full name State of Charge) of the power battery, which is the state of charge of the battery, also known as the remaining power, which represents the battery after a period of use or after long periods of unused use The ratio of the remaining capacity of the battery to its fully-charged capacity is usually expressed as a percentage. The value ranges from 0 to 100%. When SOC = 0, the battery is fully discharged, and when SOC = 100%, the battery is fully charged. The current remaining fuel quantity of the vehicle can be obtained according to the fuel gauge.

In this embodiment, the processor 22 obtains historical driving data of the user, wherein the historical driving data of the user includes energy consumption information of the vehicle during historical driving on a preset road section. Energy consumption includes power consumption, fuel consumption, and so on. The user historical travel data is the travel data of the vehicle in the previous trip. After the vehicle finishes driving a road segment, the processor 22 records and stores the driving data of the vehicle on the road segment in the memory 21 to obtain the energy consumption information of the vehicle during historical driving on the preset road segment. The storage time of the user's historical driving data is determined according to the actual situation, such as 1 month, 15 days, 7 days, etc., which is not limited in this application.

In this embodiment, the processor 22 determines the remaining mileage of the vehicle based on the user's historical driving data, the current position of the vehicle, and the current remaining energy. After the processor 22 determines the remaining mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy, the processor 22 outputs the remaining mileage of the vehicle and issues a prompt message. For example, it can be displayed through an external display. The prompt information includes the accuracy of the determination result of the remaining mileage of the vehicle.

In a specific implementation, after the processor 22 obtains the current position of the vehicle, the current remaining energy, and the historical driving data of the user, the processor 22 first determines whether the historical driving data of the user includes the current position of the vehicle; The data does not include the current position of the vehicle, and the processor 22 determines whether the vehicle has a destination set. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The processor 22 obtains the current position of the vehicle as the D road section, and the processor 22 determines that the preset road sections in the user historical driving data do not include Section D indicates that the vehicle is traveling on a new route, and the processor 22 determines whether the vehicle has a destination set.

Further, if the processor 22 determines that the user ’s historical driving data does not include the current position of the vehicle and the vehicle is set to a destination, the processor 22 obtains map data, where the map data includes link parameter information of each link. The processor 22 determines the remaining driving mileage of the vehicle according to the map data, the user's historical driving data, the current position of the vehicle, and the current remaining power. In other embodiments, if the user ’s historical driving data does not include the current position of the vehicle, the map data may be obtained first, and then the vehicle is set to a destination, or the map data is also determined to determine whether the vehicle is set to a destination. This is not limited. Specifically, the information source of the map data may be a network. For example, the map data collected by a third party may be directly used, or the vehicle may be equipped with corresponding sensors for data collection. When using sensors on the vehicle for collection, it mainly collects the road conditions of various sections, such as slope, basic road information, road patency, and average driving speed. For example, the map data of section A is: slope 10 °, distance 5km, average driving speed 16km, road information is asphalt road, and patency is 5. Specifically, the road patency can be obtained through sensors to obtain the operating status of the vehicle. Whether the current user is stepping on the accelerator or the brake, the depth of the step, and the time interval of the step, these data can be used to help determine the degree of road patency on the current driving section. . The average driving speed can be acquired by a speed sensor at a preset frequency.

Further, if the processor 22 determines that the user ’s historical driving data does not include the current position of the vehicle and the vehicle is set to a destination, the map data is acquired, where the map data includes link parameter information of each link. The processor 22 acquires the driving route of the vehicle according to the current position and destination. The electronic device 20 may plan a driving route for the vehicle according to the map data, the current position and the destination, or may access the GPS system to obtain the driving route of the vehicle from the GPS system, which is not limited in this application. Preferably, comprehensively considering road conditions, distances, and average energy consumption of each road section in big data, etc., the driving route is planned according to the user's current location and the user's destination to determine the most power-saving driving route. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The processor 22 obtains the current position of the vehicle as the D road section. The processor 22 determines that the preset road sections in the user historical driving data do not include Section D indicates that the vehicle is driving on a new route, and the processor 22 determines whether the vehicle is set to a destination. The processor 22 determines that the historical driving data of the user does not include the current position D section of the vehicle, and the vehicle setting destination is the F section, and then obtains map data. The processor 22 obtains the driving route of the vehicle according to the current position D section and the destination F section. Specifically, first, the correspondence between the map data of the preset road section and the user's historical driving data should be analyzed according to the historical driving data of the user. For example, the map data of the A section is: slope 10 °, distance 5km, average driving speed 16km, and road information is Asphalt road with a patency of 5. The user's historical driving data of users driving on the A section is: driving speed 20km / h, load 55kg, initial value of electricity 76%, final value of electricity 72%. Through the method of big data analysis and fitting, the corresponding relationship between the map data and the user's historical driving data can be analyzed, and only some data of the map data and the user's historical driving data can be provided to calculate other parts of the data. Therefore, the remaining mileage of the vehicle is determined according to the map data, the user's historical driving data, the driving route of the vehicle, and the current remaining power and / or fuel quantity.

Further, the processor 22 determines the power consumption and / or fuel consumption of each segment of the vehicle in the driving route according to the map data, the historical driving data of the user, and the segment parameter information of each segment in the driving route. The remaining power and / or fuel quantity and the power consumption and / or fuel consumption of each section of the driving route determine the remaining mileage of the vehicle. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The processor 22 obtains the current position of the vehicle as the D road section. The processor 22 determines that the preset road sections in the user historical driving data do not include Section D indicates that the vehicle is traveling on a new route, and the processor 22 determines whether the vehicle has a destination set. If the vehicle setting destination is the F section, map data is obtained. The processor 22 acquires the driving route of the vehicle according to the current position D section and the destination F section, which is composed of D section, E section and F section. Then, according to the correspondence between the map data and historical driving data obtained by big data analysis and fitting, and the parameter information of D section, E section and F section, the power consumption of D section, E section and F section is calculated respectively. The remaining mileage of the vehicle can be determined according to the remaining power of the vehicle and the power consumption of each section of the driving route.

Further, if the historical driving data of the user does not include the current position of the vehicle and the vehicle is set to a destination, after determining the remaining mileage of the vehicle based on the remaining power of the vehicle and the power consumption of each section of the driving route, the remaining vehicle mileage is output. Mileage, and issue a reminder message. Calculate the difference between the remaining mileage of the vehicle minus the distance of the driving route, record it as the first difference, set a preset difference, and the preset difference is greater than 0. Among them, the preset difference can be determined according to market research before the vehicle leaves the factory. The front writing may also be a dynamic value that is continuously adjusted according to the use of the vehicle, which is not limited here. If the first difference is not greater than 0, then the “Not Reachable” and “Basic Accuracy” prompt messages are issued; if the first difference is not less than 0 and not greater than the preset difference, “Reluctantly Reachable” and “ Basically accurate "prompt message; if the first difference is not less than the preset difference, then" absolutely reachable "and" basically accurate "prompt messages are issued.

In a specific embodiment, the processor 22 determines whether the current position of the vehicle is included in the historical driving data of the user; if the processor 22 determines that the current position of the vehicle is not included in the historical driving data of the user, the processor 22 determines whether the vehicle is set for a purpose If the vehicle has no destination set, the processor 22 obtains map data, where the map data includes link parameter information of each link. Obtain the average slope value of the first road segment where the vehicle's current location is located according to the map data and the current location of the vehicle; determine the remaining mileage of the vehicle based on the average slope value of the first road segment, the user's historical driving data, and the current remaining power and / or fuel volume . For example, the section where the current position is located is the D section, that is, the first section is the D section. According to the map data, the average slope value of the D section is 10 degrees, and the current remaining power is 20%. By searching the user's historical driving data, the A section with the same average slope value as the D section is obtained, that is, the second section, the mileage of the A section is 10km, and the power consumption is 5%. According to the proportion, the remaining mileage of the vehicle is calculated to be 40km. . The average slope value of the segment, the user's historical driving data, and the current remaining power determine the remaining mileage of the vehicle.

Preferably, the historical user driving data of the second road segment with the same slope value as the average gradient value of the first road segment is found in the historical user driving data; according to the historical user driving data corresponding to the second road segment and the current remaining power and / or fuel The amount determines the remaining mileage of the vehicle. For example, the current position is D section, the mileage of D section is 10km, and the power consumption is 5%. By searching the historical driving data of the user, the A section with the same slope as D section is obtained, and the mileage of A section is 4km. The power consumption of the A section is calculated to be 2%, and the remaining mileage of the vehicle is determined.

In a specific implementation, the processor 22 determines whether the historical driving data of the user includes the current position of the vehicle; if the historical driving data of the user includes the current position of the vehicle, the processor 22 determines the current driving position of the vehicle and the historical driving data of the user. Get historical driving directions.

Further, the processor 22 obtains the power consumption and / or fuel consumption of each preset road segment of the vehicle on the historical driving route; the processor 22 calculates the power consumption and / or fuel consumption of each preset road segment of the vehicle on the historical driving route according to the remaining power of the vehicle The power determines the remaining mileage of the vehicle. For example, the preset road sections in the user's historical driving data are A road section, B road section, and C road section. The processor 22 obtains the current position of the vehicle as the A road section, and the processor 22 determines that the preset road sections in the user historical driving data include A A road segment that indicates that the vehicle is driving on an old route. The processor 22 obtains the user's historical route based on the location of the A section and the user's historical driving data. The user follows the A section after the A driving section and the C driving section after the B driving section. For the A section, the B section, and the C section, the power consumption and / or fuel consumption of the vehicle on the A section, the B section, and the C section are obtained. Then, the remaining mileage of the vehicle is determined according to the remaining power and / or fuel of the vehicle and the power consumption and / or fuel consumption of the vehicle in the A and B sections and the C section.

In addition, in order to obtain the more reliable remaining mileage that can be driven, the above steps can be repeatedly performed, for example, it can be performed every preset time, so that the remaining mileage that can be driven can be updated in real time with time and the driving of the vehicle.

The present application also provides a vehicle including the above-mentioned electronic device to implement the steps in the method as described above.

It can be known from the above description that, different from the prior art, the present application determines the remaining mileage of the vehicle by acquiring the current position of the vehicle, the current remaining energy, and the historical driving data of the user, thereby more intelligently and accurately estimating the remaining mileage of the vehicle To improve user experience.

Please refer to FIG. 3, which is a schematic structural diagram of an embodiment of a device with a storage function according to the present invention. At least one program or instruction 31 is stored in the device 30 having a storage function, and the program or instruction 31 is used for implementing the control method of any of the above-mentioned robots. In one embodiment, the device having a storage function includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM, Read-Only Memory), a random access memory (RAM, Random Access Memory), a magnetic disk, or an optical disk. A medium on which program code can be stored.

It can be known from the above description that, unlike the prior art, the present application determines the remaining mileage of the vehicle by acquiring the current position of the vehicle, the current remaining energy, and the historical driving data of the user, so as to more intelligently and accurately estimate the remaining mileage of the vehicle To improve user experience.

In the several embodiments provided in this application, it should be understood that the disclosed methods and devices may be implemented in other ways. For example, the device implementations described above are only schematic. For example, the division of modules or units is only a logical function division. In actual implementation, there may be another division manner. For example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, which may be electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, which may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objective of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each of the units may exist separately physically, or two or more units may be integrated into one unit. The above integrated unit may be implemented in the form of hardware or in the form of software functional unit.

When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially a part that contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium. It includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to perform all or part of the steps of the methods in the embodiments of the present application.

The above is only an embodiment of the present invention, and thus does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the description and drawings of the present invention, or directly or indirectly used in other related technical fields, All the same are included in the patent protection scope of the present invention.

Claims

A method for acquiring the remaining mileage of a vehicle, characterized in that the method for acquiring the remaining mileage of a vehicle includes:

Obtain the current position of the vehicle and the current remaining energy;

Get user historical driving data;

The remaining mileage of the vehicle is determined according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy.
The method for obtaining a remaining mileage of a vehicle according to claim 1, wherein:

Before the determining the remaining mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy, the method includes:

Determining whether the current driving position of the user includes the current position of the vehicle;

If the historical driving data of the user does not include the current position of the vehicle, obtaining map data and determining whether the vehicle has a destination set;

The step of determining the remaining mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy includes:

The remaining mileage of the vehicle is determined according to the map data, the user's historical driving data, the current position of the vehicle, and the current remaining energy.
The method for obtaining a remaining mileage of a vehicle according to claim 2, wherein the remaining mileage of the vehicle is determined according to the map data, the historical driving data of the user, the current position of the vehicle, and the current remaining energy. ,include:

If the current driving position of the user does not include the current position of the vehicle, and the vehicle sets a destination, obtaining the driving route of the vehicle according to the current position and the destination;

The remaining mileage of the vehicle is determined according to the map data, the historical driving data of the user, the driving route of the vehicle, and the current remaining energy.
The method for obtaining a remaining mileage of a vehicle according to claim 3, wherein the determining the remaining mileage of the vehicle based on the map data, the historical driving data of the user, the driving route of the vehicle, and the current remaining energy comprises: :

Acquiring link parameter information of each link in the driving route;

Determining, according to the map data, the user's historical driving data, and link parameter information of each link in the driving route, the energy consumption of the vehicle at each link in the driving route;

The remaining mileage of the vehicle is determined according to the remaining energy of the vehicle and the energy consumption of each section of the driving route.
The method for obtaining a remaining mileage of a vehicle according to claim 2, wherein determining the remaining mileage of the vehicle based on the map data, the historical driving data of the user, the current position of the vehicle, and the current remaining energy comprises: :

If the historical driving data of the user does not include the current position of the vehicle, and the vehicle has no destination set, obtaining the average slope value of the first road segment where the current position of the vehicle is located according to the map data and the current position of the vehicle;

Determine the remaining mileage of the vehicle according to the average gradient value of the first road section, the historical driving data of the user, and the current remaining energy.
The method for obtaining the remaining mileage of a vehicle according to claim 5, wherein the determining the remaining mileage of the vehicle according to the average slope value of the first road section, the historical driving data of the user, and the current remaining energy comprises: :

Find the historical user driving data of the second road segment whose slope value is the same as the average gradient value of the first road segment from the historical user driving data;

Determining the remaining mileage of the vehicle according to the historical driving data of the user corresponding to the second road segment and the current remaining energy.
The method for obtaining a remaining mileage of a vehicle according to claim 1, wherein the determining the remaining mileage of the vehicle based on the historical driving data of the user, the current position of the vehicle, and the current remaining energy comprises:

Determining whether the current driving position of the user includes the current position of the vehicle;

If the user's historical driving data includes the current position of the vehicle, the historical driving route is obtained according to the current position of the vehicle and the user historical driving data.
The method for obtaining a remaining mileage of a vehicle according to claim 7, wherein the determining the remaining mileage of the vehicle based on the historical driving data of the user, the current position of the vehicle, and the current remaining energy comprises:

If the historical driving data of the user includes the current position of the vehicle, obtaining the energy consumption of the vehicle on each preset road section on the historical driving route;

The remaining mileage of the vehicle is determined according to the remaining energy of the vehicle and the energy consumption of the vehicle on each preset road section on the historical driving route.
The method for obtaining a remaining driving mileage of a vehicle according to claim 1, wherein after determining the remaining driving mileage of the vehicle according to the historical driving data of the user, the current position of the vehicle, and the current remaining energy, the method includes:

Output the remaining mileage of the vehicle and issue a prompt message.
The method for obtaining a remaining mileage of a vehicle according to claim 9, wherein the prompt information includes accuracy of a determination result of the remaining mileage of the vehicle.
The method for acquiring a remaining mileage of a vehicle according to claim 2, wherein the map data is obtained by the vehicle through data collection by a sensor.
The method for obtaining a remaining mileage of a vehicle according to any one of claims 1 to 11, wherein the vehicle is an electric vehicle, and the energy is electric power.
An electronic device based on a method for obtaining a remaining mileage of a vehicle, comprising a memory and a processor, the processor is connected to the memory, and the memory is configured to store a computer program executed by the processor and the computer. The intermediate data generated by the processor when the computer program is executed; when the processor executes the computer program, the method for acquiring a remaining mileage of a vehicle according to any one of claims 1-12 is implemented.
A vehicle, characterized in that the vehicle comprises an electronic device according to claim 13 based on the method for acquiring a vehicle's remaining driving mileage.
A device with a storage function, characterized in that the device with a storage function stores program data, and the program data can be executed to achieve the acquisition of the remaining mileage of the vehicle according to any one of claims 1-12 method.