A vehicle mileage determination method, device, equipment, storage medium and product
By obtaining the energy demand and quantifying mileage anxiety in V2G scenarios, building and solving the mileage determination model, the problem of difficult to accurately determine the range in V2G scenarios is solved, and the accuracy of range and battery life are optimized.
Patent Information
- Application Number
- CN202411874775.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-19
- Publication Date
- 2025-05-16
- Estimated Expiration
- 2044-12-19
AI Technical Summary
In the V2G scenario, it is difficult for the existing technology to accurately determine the range of electric vehicles, resulting in users facing mileage anxiety and the problem of battery attenuation too quickly.
By obtaining the energy requirements of the vehicle in the V2G scenario and quantifying the mileage anxiety, a mileage determination model is built, and the model is solved to determine the vehicle's range.
It realizes accurate range determination in V2G scenarios, alleviates users' mileage anxiety, optimizes battery life, and meets users' daily travel needs.
Smart Images

Figure CN119323144B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the field of vehicle technology, and in particular to a vehicle mileage determination method, device, equipment, storage medium and product. Background Art
[0002] Under the dual carbon goals, electric vehicles, as the main force in reducing carbon emissions in transportation, the design of their range is particularly important. If the range is designed to be too large, various important materials will be wasted. If the range is designed to be too small, it will increase the user's time burden and accelerate battery degradation. Therefore, the range is very important to the development of the electric vehicle industry.
[0003] Electric vehicles link the fields of transportation and electricity. Especially with the rise of vehicle-grid interaction technology, the coupling between the power grid and the road network has become closer. The participation of electric vehicles in V2G (Vehicle-to-Grid) has put forward new requirements on the battery life of vehicle batteries. Therefore, a vehicle mileage determination method is urgently needed to determine the mileage of electric vehicles in V2G scenarios. Summary of the invention
[0004] The present application provides a vehicle mileage determination method, device, equipment, storage medium and product, which can determine the cruising range of an electric vehicle in a V2G scenario.
[0005] To achieve the above purpose, the present application provides a method for determining vehicle mileage, including:
[0006] Obtain the energy requirements of vehicles in V2G scenarios;
[0007] Quantify the range anxiety of the vehicle and obtain the range anxiety value;
[0008] constructing a mileage determination model according to the energy demand and the mileage anxiety value;
[0009] By solving the mileage determination model, the cruising range of the vehicle is obtained.
[0010] As an improvement of the above solution, the step of obtaining the energy demand of the vehicle in the V2G scenario includes:
[0011] A V2G vehicle analysis model is constructed with the goal of maximizing the remaining SOC when the vehicle leaves the V2G scenario;
[0012] By solving the V2G vehicle analysis model, the energy demand of the vehicle in the V2G scenario is obtained.
[0013] As an improvement of the above solution, the objective function of the V2G vehicle analysis model is specifically expressed as:
[0014]
[0015] In the formula, j represents the vehicle, J is the number of all vehicles, is the jth vehicle in the last period Remaining SOC when leaving the V2G scenario; is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle is in Participate in V2G scenarios to discharge during this period. = 0, indicating that the jth vehicle is The time period does not participate in the V2G scenario. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0016] As an improvement of the above solution, the constraint conditions of the V2G vehicle analysis model are specifically expressed as follows:
[0017]
[0018] In the formula, is the preset minimum SOC; is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time t, , is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle participates in the V2G scenario and performs discharge behavior during period t. = 0, indicating that the jth vehicle does not participate in the V2G scenario at time t. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0019] As an improvement to the above solution, the vehicle's mileage anxiety is quantified according to the following formula to obtain a mileage anxiety value:
[0020]
[0021] Where r is the vehicle's cruising range, is the daily mileage anxiety value of a vehicle with a range of r kilometers, is the starting price for vehicle travel, is the total expenditure of segment distance expenditure, segment time expenditure and long-distance expenditure during vehicle travel, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the maximum daily mileage of the vehicle, u is the mileage utilization rate, The mileage that can be traveled by the power used in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, The battery capacity of the jth vehicle, is the power consumption per kilometer of a vehicle with a range of r kilometers.
[0022] As an improvement of the above solution, the objective function of the mileage determination model is specifically expressed as:
[0023]
[0024] Where r is the vehicle's cruising range, is the total expenditure of vehicles participating in the V2G scenario, Expenses for purchasing vehicles, Electricity expenses for vehicles, is the annual mileage anxiety value of the vehicle, The benefits of vehicles participating in V2G scenarios;
[0025]
[0026]
[0027]
[0028]
[0029] In the formula, is the battery cost of a vehicle with a range of r kilometers, , is the power consumption per kilometer of a vehicle with a cruising range of r kilometers, is the unit battery price of a vehicle with a range of r kilometers, is the battery utilization rate, is the scaling factor for the vehicle battery price, is the scaling factor for the total vehicle price; is the mileage utilization rate, is the mileage that can be driven by the power used in the V2G scenario, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the discount rate, For electricity price, The charging and discharging efficiency of the vehicle battery, is the daily mileage anxiety value of a vehicle with a range of r kilometers, The amount of electricity used by the vehicle to participate in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, is the battery capacity of the jth vehicle, It is the profit obtained from the difference between purchasing off-peak electricity and selling it to the power grid at peak price during peak hours under time-of-use electricity prices.
[0030] To achieve the above purpose, the embodiment of the present application further provides a vehicle mileage determination device, comprising:
[0031] An acquisition module is used to obtain the energy demand of the vehicle in the V2G scenario;
[0032] A quantification module is used to quantify the range anxiety of the vehicle and obtain a range anxiety value;
[0033] A construction module, configured to construct a mileage determination model according to the energy demand and the mileage anxiety value;
[0034] The determination module is used to obtain the vehicle's cruising range by solving the mileage determination model.
[0035] To achieve the above objectives, an embodiment of the present application also provides a vehicle mileage determination device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, and the processor implements the vehicle mileage determination method as described above when executing the computer program.
[0036] To achieve the above-mentioned purpose, an embodiment of the present application also provides a computer-readable storage medium, which includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the vehicle mileage determination method as described above.
[0037] To achieve the above objectives, an embodiment of the present application further provides a computer program product, including a computer program / instruction, which, when executed by a processor, implements the vehicle mileage determination method as described above.
[0038] Compared with the prior art, the vehicle mileage determination method, device, equipment, storage medium and product provided in the embodiments of the present application obtain the energy demand of the vehicle in the V2G scenario; quantify the mileage anxiety of the vehicle to obtain the mileage anxiety value; construct a mileage determination model based on the energy demand and the mileage anxiety value; and obtain the vehicle's cruising range by solving the mileage determination model. It can be seen that the embodiments of the present application combine the energy demand and mileage anxiety value of the vehicle in the V2G scenario to determine the cruising range in the V2G scenario, which not only takes into account the user's need to participate in V2G, but also alleviates the user's mileage anxiety and can meet the user's daily travel consumption. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 is a flow chart of a vehicle mileage determination method provided in an embodiment of the present application;
[0040] Figure 2 is a structural block diagram of a vehicle mileage determination device provided in an embodiment of the present application;
[0041] Figure 3 It is a structural block diagram of a vehicle mileage determination device provided in an embodiment of the present application. DETAILED DESCRIPTION
[0042] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.
[0043] See also Figure 1 , Figure 1 : is a flow chart of a vehicle mileage determination method provided in an embodiment of the present application, the vehicle mileage determination method comprising:
[0044] S1. Obtain the energy demand of the vehicle in the V2G scenario;
[0045] S2. quantifying the range anxiety of the vehicle to obtain a range anxiety value;
[0046] S3. constructing a mileage determination model according to the energy demand and the mileage anxiety value;
[0047] S4. Obtaining the vehicle's cruising range by solving the mileage determination model.
[0048] The mileage determination model constructed for a vehicle (e.g., an electric car) in the embodiment of the present application can determine the cruising range in a V2G scenario. It combines the energy demand and mileage anxiety value of the vehicle in the V2G scenario, not only taking into account the need for users to participate in V2G, but also alleviating the mileage anxiety of users, and can meet the daily travel consumption of users.
[0049] In an optional embodiment, obtaining the energy demand of the vehicle in the V2G scenario includes:
[0050] A V2G vehicle analysis model is constructed with the goal of maximizing the remaining SOC when the vehicle leaves the V2G scenario;
[0051] By solving the V2G vehicle analysis model, the energy demand of the vehicle in the V2G scenario is obtained.
[0052] In the embodiment of the present application, the maximum value of the remaining SOC (State of Charge) when the vehicle leaves the V2G scenario is used as the energy demand of the vehicle in the V2G scenario, and the maximum value of the remaining SOC when the vehicle leaves the V2G scenario is obtained by solving the V2G vehicle analysis model.
[0053] In an optional embodiment, the objective function of the V2G vehicle analysis model is specifically expressed as:
[0054]
[0055] In the formula, j represents the vehicle, J is the number of all vehicles, is the jth vehicle in the last period Remaining SOC when leaving the V2G scenario; is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle is in Participate in V2G scenarios to discharge during this period. = 0, indicating that the jth vehicle is The time period does not participate in the V2G scenario. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0056] The embodiment of the present application obtains the remaining SOC of the vehicle when it leaves the V2G scenario through the vehicle battery charging and discharging efficiency, the vehicle battery charging and discharging time, and the vehicle battery capacity, fully considering the battery condition of the vehicle when it participates in the V2G scenario and meeting the requirements of the V2G scenario for the vehicle.
[0057] In an optional embodiment, the constraint conditions of the V2G vehicle analysis model are specifically expressed as follows:
[0058]
[0059] In the formula, is the preset minimum SOC; is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time t, , is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle participates in the V2G scenario and performs discharge behavior during period t. = 0, indicating that the jth vehicle does not participate in the V2G scenario at time t. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0060] In an embodiment of the present application, the V2G vehicle analysis model also has constraints. By setting the remaining SOC of the j-th vehicle when it leaves the V2G scenario at time period t to be greater than the preset minimum SOC, it is ensured that the remaining SOC of the vehicle in each time period when it leaves the V2G scenario can continue to travel, thereby meeting the user's shortest travel needs.
[0061] In an optional embodiment, the range anxiety of the vehicle is quantified according to the following formula to obtain a range anxiety value:
[0062]
[0063] In the formula, r is the vehicle's cruising range, is the daily mileage anxiety value of a vehicle with a range of r kilometers, is the starting price for vehicle travel, is the total expenditure of segment distance expenditure, segment time expenditure and long-distance expenditure during vehicle travel, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the maximum daily mileage of the vehicle, u is the mileage utilization rate, The mileage that can be traveled by the power used in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, The battery capacity of the jth vehicle, is the power consumption per kilometer of a vehicle with a range of r kilometers.
[0064] The embodiment of the present application quantifies range anxiety so that range anxiety can be involved in the determination of cruising range to alleviate user anxiety.
[0065] In an optional embodiment, the objective function of the mileage determination model is specifically expressed as:
[0066]
[0067] Where r is the vehicle's cruising range, is the total expenditure of vehicles participating in the V2G scenario, Expenses for purchasing vehicles, Electricity expenses for vehicles, is the annual mileage anxiety value of the vehicle, The benefits of vehicles participating in V2G scenarios;
[0068]
[0069]
[0070]
[0071]
[0072] In the formula, is the battery cost of a vehicle with a range of r kilometers, , is the power consumption per kilometer of a vehicle with a cruising range of r kilometers, is the unit battery price of a vehicle with a range of r kilometers, is the battery utilization rate, is the scaling factor for the vehicle battery price, is the scaling factor for the total vehicle price; is the mileage utilization rate, is the mileage that can be driven by the power used in the V2G scenario, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the discount rate, For electricity price, The charging and discharging efficiency of the vehicle battery, is the daily mileage anxiety value of a vehicle with a range of r kilometers, The amount of electricity used by the vehicle to participate in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, is the battery capacity of the jth vehicle, It is the profit obtained from the difference between purchasing off-peak electricity and selling it to the power grid at peak price during peak hours under time-of-use electricity prices.
[0073] It should be noted that Used to simulate the possible daily mileage of a vehicle, is the discount rate of annual payment and present value. In the embodiment of the present application, the annual mileage anxiety value of the vehicle is taken as a vehicle expenditure, combined with the purchase expenditure of the vehicle and the electricity expenditure of the vehicle to obtain the total expenditure of the vehicle, and then the total expenditure of the vehicle minus the income after the vehicle participates in the V2G scenario is subtracted to obtain the total expenditure of the vehicle participating in the V2G scenario. With the goal of minimizing the total expenditure of the vehicle participating in the V2G scenario, a mileage determination model is constructed, and the mileage determination model is solved to obtain the mileage, which is determined as the vehicle's cruising range. The cruising range at this time is also optimal, which can not only avoid wasting various important materials, but also reduce the user's time burden and delay battery degradation.
[0074] See also Figure 2 , Figure 2 : is a structural block diagram of a vehicle mileage determination device 10 provided in an embodiment of the present application, wherein the vehicle mileage determination device 10 comprises:
[0075] An acquisition module 11 is used to acquire the energy demand of the vehicle in a V2G scenario;
[0076] A quantification module 12, used to quantify the range anxiety of the vehicle to obtain a range anxiety value;
[0077] A construction module 13, configured to construct a mileage determination model according to the energy demand and the mileage anxiety value;
[0078] The determination module 14 is used to obtain the cruising range of the vehicle by solving the mileage determination model.
[0079] Optionally, obtaining the energy demand of the vehicle in the V2G scenario includes:
[0080] A V2G vehicle analysis model is constructed with the goal of maximizing the remaining SOC when the vehicle leaves the V2G scenario;
[0081] By solving the V2G vehicle analysis model, the energy demand of the vehicle in the V2G scenario is obtained.
[0082] Optionally, the objective function of the V2G vehicle analysis model is specifically expressed as:
[0083]
[0084] In the formula, j represents the vehicle, J is the number of all vehicles, is the jth vehicle in the last period Remaining SOC when leaving the V2G scenario; is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle is in Participate in V2G scenarios to discharge during this period. = 0, indicating that the jth vehicle is The time period does not participate in the V2G scenario. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0085] Optionally, the constraint conditions of the V2G vehicle analysis model are specifically expressed as:
[0086]
[0087] In the formula, is the preset minimum SOC; is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time t, , is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle participates in the V2G scenario and performs discharge behavior during period t. = 0, indicating that the jth vehicle does not participate in the V2G scenario at time t. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
[0088] Optionally, the range anxiety of the vehicle is quantified according to the following formula to obtain a range anxiety value:
[0089]
[0090] In the formula, r is the vehicle's cruising range, is the daily mileage anxiety value of a vehicle with a range of r kilometers, is the starting price for vehicle travel, is the total expenditure of segment distance expenditure, segment time expenditure and long-distance expenditure during vehicle travel, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, d is the differential, is the maximum daily mileage of the vehicle, u is the mileage utilization rate, The mileage that can be traveled by the power used in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, The battery capacity of the jth vehicle, is the power consumption per kilometer of a vehicle with a range of r kilometers.
[0091] Optionally, the objective function of the mileage determination model is specifically expressed as:
[0092]
[0093] In the formula, r is the vehicle's cruising range, is the total expenditure of vehicles participating in the V2G scenario, Expenses for purchasing vehicles, Electricity expenses for vehicles, is the annual mileage anxiety value of the vehicle, The benefits of vehicles participating in V2G scenarios;
[0094]
[0095]
[0096]
[0097]
[0098] In the formula, is the battery cost of a vehicle with a range of r kilometers, , is the power consumption per kilometer of a vehicle with a cruising range of r kilometers, is the unit battery price of a vehicle with a range of r kilometers, is the battery utilization rate, is the scaling factor for the vehicle battery price, is the scaling factor for the total vehicle price; is the mileage utilization rate, is the mileage that can be driven by the power used in the V2G scenario, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the discount rate, For electricity price, The charging and discharging efficiency of the vehicle battery, is the daily mileage anxiety value of a vehicle with a range of r kilometers, The amount of electricity used by the vehicle to participate in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, is the battery capacity of the jth vehicle, It is the profit obtained from the difference between purchasing off-peak electricity and selling it to the power grid at peak price during peak hours under time-of-use electricity prices.
[0099] It is worth noting that the working process of each module in the vehicle mileage determination device 10 described in the embodiment of the present application can refer to the working process of the vehicle mileage determination method described in the above embodiment, and will not be repeated here.
[0100] The vehicle mileage determination device 10 provided in the embodiment of the present application obtains the energy demand of the vehicle in the V2G scenario; quantifies the mileage anxiety of the vehicle to obtain the mileage anxiety value; constructs a mileage determination model based on the energy demand and the mileage anxiety value; and obtains the vehicle's cruising range by solving the mileage determination model. It can be seen that the embodiment of the present application combines the energy demand and mileage anxiety value of the vehicle in the V2G scenario to determine the cruising range in the V2G scenario, which not only takes into account the user's need to participate in V2G, but also alleviates the user's mileage anxiety and can meet the user's daily travel consumption.
[0101] In addition, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program; wherein, when the computer program is running, it controls the device where the computer-readable storage medium is located to execute the vehicle mileage determination method as described in any of the above embodiments.
[0102] See also Figure 3 , Figure 3 1 is a structural block diagram of a vehicle mileage determination device 20 provided in an embodiment of the present application, wherein the vehicle mileage determination device 20 comprises: a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. When the processor 21 executes the computer program, the steps in the above-mentioned vehicle mileage determination method embodiment are implemented. Alternatively, when the processor 21 executes the computer program, the functions of each module / unit in the above-mentioned device embodiments are implemented.
[0103] Exemplarily, the computer program may be divided into one or more modules / units, which are stored in the memory 22 and executed by the processor 21 to complete the present application. The one or more modules / units may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the vehicle mileage determination device 20.
[0104] The vehicle mileage determination device 20 may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art will appreciate that the schematic diagram is merely an example of the vehicle mileage determination device 20 and does not constitute a limitation on the vehicle mileage determination device 20. The vehicle mileage determination device 20 may include more or fewer components than shown in the diagram, or may combine certain components, or different components. For example, the vehicle mileage determination device 20 may also include input and output devices, network access devices, buses, etc.
[0105] The processor 21 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor 21 is the control center of the vehicle mileage determination device 20, and uses various interfaces and lines to connect various parts of the entire vehicle mileage determination device 20.
[0106] The memory 22 can be used to store the computer program and / or module. The processor 21 realizes various functions of the vehicle mileage determination device 20 by running or executing the computer program and / or module stored in the memory 22 and calling the data stored in the memory 22. The memory 22 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, an application required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area can store data created according to the use of the mobile phone (such as audio data, a phone book, etc.), etc. In addition, the memory 22 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.
[0107] Wherein, if the module / unit integrated in the vehicle mileage determination device 20 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 present application implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 21, the steps of the above-mentioned method embodiments can be implemented. Wherein, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium, etc.
[0108] It should be noted that the device embodiments described above are merely schematic, wherein 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, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present application, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work.
[0109] The above is a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications are also considered to be within the scope of protection of the present application.
Claims
1. A method for determining vehicle mileage, characterized in that: include: Obtain the energy requirements of vehicles in V2G scenarios; Quantify the range anxiety of the vehicle and obtain the range anxiety value; constructing a mileage determination model according to the energy demand and the mileage anxiety value; By solving the mileage determination model, the cruising range of the vehicle is obtained; The obtaining of the energy demand of the vehicle in the V2G scenario includes: A V2G vehicle analysis model is constructed with the goal of maximizing the remaining SOC when the vehicle leaves the V2G scenario; By solving the V2G vehicle analysis model, the energy demand of the vehicle in the V2G scenario is obtained; Among them, according to the following formula, the vehicle's mileage anxiety is quantified to obtain the mileage anxiety value: In the formula, r is the vehicle's cruising range, is the daily mileage anxiety value of a vehicle with a range of r kilometers, is the starting price for vehicle travel, is the total expenditure of segment distance expenditure, segment time expenditure and long-distance expenditure during vehicle travel, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the maximum daily mileage of the vehicle, u is the mileage utilization rate, The mileage that can be traveled by the power used in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, The battery capacity of the jth vehicle, is the power consumption per kilometer of a vehicle with a range of r kilometers.
2. The vehicle mileage determination method according to claim 1, characterized in that: The objective function of the V2G vehicle analysis model is specifically expressed as: In the formula, j represents the jth vehicle, J is the number of all vehicles, is the jth vehicle in the last period Remaining SOC when leaving the V2G scenario; , is the vehicle battery charge and discharge rate, The charging and discharging efficiency of the vehicle battery, is the charge and discharge variable of the jth vehicle in period t, =1, indicating that the jth vehicle is Participate in V2G scenarios to discharge during this period. = 0, indicating that the jth vehicle is The time period does not participate in the V2G scenario. The charging and discharging time of the vehicle battery, is the battery capacity of the jth vehicle.
3. The vehicle mileage determination method according to claim 2, characterized in that: The constraints of the V2G vehicle analysis model are specifically expressed as follows: In the formula, is the preset minimum SOC; is the remaining SOC of the jth vehicle when it leaves the V2G scenario at period t.
4. The vehicle mileage determination method according to claim 3, characterized in that: The objective function of the mileage determination model is specifically expressed as: In the formula, r is the vehicle's cruising range, is the total expenditure of vehicles participating in the V2G scenario, Expenses for purchasing vehicles, Electricity expenses for vehicles, is the annual mileage anxiety value of the vehicle, The benefits of vehicles participating in V2G scenarios; In the formula, is the battery cost of a vehicle with a range of r kilometers, , is the power consumption per kilometer of a vehicle with a cruising range of r kilometers, is the unit battery price of a vehicle with a range of r kilometers, is the battery utilization rate, is the scaling factor for the vehicle battery price, is the scaling factor for the total vehicle price; is the mileage utilization rate, is the mileage that can be driven by the power used in the V2G scenario, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the discount rate, For electricity price, The charging and discharging efficiency of the vehicle battery, is the daily mileage anxiety value of a vehicle with a range of r kilometers, The amount of electricity used by the vehicle to participate in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, is the battery capacity of the jth vehicle, It is the profit obtained from the difference between purchasing off-peak electricity and selling it to the power grid at peak price during peak hours under time-of-use electricity prices.
5. A vehicle mileage determination device, characterized in that: include: An acquisition module is used to obtain the energy demand of the vehicle in the V2G scenario; A quantification module is used to quantify the range anxiety of the vehicle and obtain a range anxiety value; A construction module, configured to construct a mileage determination model according to the energy demand and the mileage anxiety value; A determination module, configured to obtain a cruising range of the vehicle by solving the mileage determination model; The obtaining of the energy demand of the vehicle in the V2G scenario includes: A V2G vehicle analysis model is constructed with the goal of maximizing the remaining SOC when the vehicle leaves the V2G scenario; By solving the V2G vehicle analysis model, the energy demand of the vehicle in the V2G scenario is obtained; Among them, according to the following formula, the vehicle's mileage anxiety is quantified to obtain the mileage anxiety value: In the formula, r is the vehicle's cruising range, is the daily mileage anxiety value of a vehicle with a range of r kilometers, is the starting price for vehicle travel, is the total expenditure of segment distance expenditure, segment time expenditure and long-distance expenditure during vehicle travel, x is the actual daily mileage of the vehicle, is the gamma function, d is the differential, is the maximum daily mileage of the vehicle, u is the mileage utilization rate, The mileage that can be traveled by the power used in the V2G scenario. , is the jth vehicle in the last period The remaining SOC when leaving the V2G scenario, is the remaining SOC of the jth vehicle when it leaves the V2G scenario at time 0, The battery capacity of the jth vehicle, is the power consumption per kilometer of a vehicle with a range of r kilometers.
6. A vehicle mileage determination device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the vehicle mileage determination method according to any one of claims 1 to 4 when executing the computer program.
7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program; wherein, when the computer program is run, it controls the device where the computer-readable storage medium is located to execute the vehicle mileage determination method according to any one of claims 1 to 4.
8. A computer program product, characterized in that The method comprises a computer program / instruction, which, when executed by a processor, implements the vehicle mileage determination method as described in any one of claims 1 to 4.