A virtual evaluation method and device for actual road energy consumption of new energy vehicles

Abstract

The present invention relates to the field of new energy vehicle testing, and specifically, to a virtual evaluation method and device for actual road energy consumption of new energy vehicles. The method comprises: constructing an evaluation route according to the city where the vehicle is used and the typical routes of each city where the vehicle is used; generating an actual road condition library according to the evaluation route, month, weather conditions, road conditions and vehicle use period; obtaining test data of the vehicle under various working conditions; determining the evaluation energy consumption according to the test data; determining the nominal energy consumption dispersion coefficient according to the evaluation energy consumption and the nominal energy consumption; determining the average comprehensive energy consumption according to the evaluation energy consumption; and determining the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption. The present invention does not require large-scale road testing, but can also cover many cities and many vehicle use scenarios, and efficiently and conveniently conduct actual road energy consumption evaluation.

Description

Technical Field

[0001] The present invention relates to the field of new energy vehicle testing, and in particular to a virtual evaluation method and device for actual road energy consumption of new energy vehicles. Background Art

[0002] New energy vehicles have low pollutant emissions and high energy utilization rates. They can effectively cope with the energy crisis and environmental pollution challenges facing human development today, and are an important direction for the transformation and development of the automotive industry. Under the policy guidance of countries around the world, the new energy vehicle industry has developed rapidly, and its driving range, service life, safety, etc. have received more and more attention. At present, the driving range and energy consumption tests of electric vehicles in my country are mainly carried out in accordance with GB / T 18386, and are tested on a rotating hub bench. However, the actual driving conditions are complex, and the environmental and road factors are changeable. Different users and different regional conditions have led to large differences between the actual energy consumption and the announced energy consumption. Therefore, it is urgent to carry out energy efficiency evaluation research based on actual roads.

[0003] The traditional method based on data collected on actual roads can reflect the actual energy consumption level of the vehicle and is closer to the user's usage scenario, but road factors are variable, testing is time-consuming and costly, and it is difficult to carry out on a large scale.

[0004] In view of this, the present invention is proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a method and device for virtual evaluation of vehicle actual road energy consumption. This method does not require large-scale road testing, but can also cover many cities and many vehicle usage scenarios, and can efficiently and conveniently perform actual road energy consumption evaluation.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, the present invention provides a virtual evaluation method for actual road energy consumption of new energy vehicles, comprising:

[0008] Constructing an evaluation route based on cities where the vehicles are used and typical routes in each of the cities where the vehicles are used;

[0009] Generate an actual road condition database based on the evaluation route, month, weather condition, road condition and vehicle use period;

[0010] Acquire test data of the vehicle under various working conditions, wherein the test data is based on the actual road working condition library and is obtained by using a vehicle model for simulation testing or using a real vehicle for testing;

[0011] Determine the evaluation energy consumption according to the test data;

[0012] Determining a nominal energy consumption dispersion coefficient based on the measured energy consumption and the nominal energy consumption;

[0013] Determine the average comprehensive energy consumption based on the evaluated energy consumption;

[0014] The vehicle energy consumption level is determined according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0015] As a further preferred technical solution, the evaluation route is constructed according to the city where the vehicle is used and the typical routes of each city where the vehicle is used, including:

[0016] Determine the cities where vehicles are used based on the number of new energy vehicles in each city, the temperature zone to which each city belongs, the geographical region to which each city belongs, and the level of each city;

[0017] The evaluation route is determined based on typical road scenes in the city where the vehicle is used, traffic flow on each driving route, congestion conditions on each driving route, and frequency of use of each driving route.

[0018] As a further preferred technical solution, the months include: July, January and April; the weather conditions include: sunny, rainy and snowy; the road conditions include: plains and hills; the vehicle usage time periods include: 7:00-9:00, 9:00-12:00, 13:00-16:00, 16:00-18:00 and 23:00-06:00.

[0019] As a further preferred technical solution, determining the evaluation energy consumption according to the test data includes:

[0020] Calculating a corrected sliding resistance according to the test data;

[0021] The evaluation energy consumption is determined based on the corrected sliding resistance.

[0022] As a further preferred technical solution, the calculating of the corrected sliding resistance according to the test data includes:

[0023] Calculate the corrected sliding resistance according to the vehicle speed, ambient temperature, ambient pressure, the angle between the vehicle's driving direction and the wind direction, and the first correction factor in the test data;

[0024] The first correction factor is used to characterize the influence of weather conditions and road conditions on the sliding resistance.

[0025] As a further preferred technical solution, the step of determining the average comprehensive energy consumption according to the measured energy consumption includes:

[0026] According to the measured energy consumption, a first data set and a second data set are determined; wherein the first data set is a data set formed by dividing the measured energy consumption according to months, and the second data set is a data set formed by dividing the measured energy consumption according to typical road scenes;

[0027] Determining a first comprehensive energy consumption according to the first data set;

[0028] determining a second comprehensive energy consumption according to the second data set;

[0029] An average comprehensive energy consumption is determined according to the first comprehensive energy consumption and the second comprehensive energy consumption.

[0030] As a further preferred technical solution, the determining of the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption includes:

[0031] If the nominal energy consumption dispersion coefficient is less than value A, and the average comprehensive energy consumption is less than value I, then the vehicle energy consumption level is determined to be excellent;

[0032] If the nominal energy consumption dispersion coefficient is greater than value B, or the average comprehensive energy consumption is greater than value II, then the vehicle energy consumption level is determined to be poor; wherein B>A, II>I;

[0033] In other cases, the vehicle's energy consumption level is determined to be good.

[0034] In a second aspect, the present invention provides a virtual evaluation device for actual road energy consumption of new energy vehicles, comprising:

[0035] An evaluation route construction module, used to construct an evaluation route according to the cities where the vehicles are used and the typical routes of the cities where the vehicles are used;

[0036] An actual road condition library generation module is used to generate an actual road condition library according to the evaluation route, month, weather condition, road condition and vehicle use period;

[0037] A test data acquisition module, used to acquire test data of the vehicle under various working conditions, wherein the test data is based on the actual road working condition library and is obtained by using a vehicle model for simulation testing or using a real vehicle for testing;

[0038] An evaluation energy consumption determination module, used to determine the evaluation energy consumption according to the test data;

[0039] A nominal energy consumption dispersion coefficient determination module, used to determine the nominal energy consumption dispersion coefficient according to the measured energy consumption and the nominal energy consumption;

[0040] An average comprehensive energy consumption determination module, used to determine the average comprehensive energy consumption according to the evaluated energy consumption;

[0041] The vehicle energy consumption level determination module is used to determine the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0042] In a third aspect, the present invention provides an electronic device, comprising:

[0043] at least one processor, and a memory communicatively coupled to at least one of the processors;

[0044] The memory stores instructions that can be executed by at least one of the processors, and the instructions are executed by at least one of the processors so that at least one of the processors can perform the above method.

[0045] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute the above method.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] The virtual evaluation method for actual road energy consumption of new energy vehicles provided by the present invention achieves the purpose of covering many cities and many vehicle use scenarios without the need for large-scale road testing, and efficiently and conveniently performs actual road energy consumption evaluation by constructing an evaluation route, generating an actual road operating condition library, obtaining test data, determining evaluation energy consumption, determining a nominal energy consumption discrete coefficient, determining an average comprehensive energy consumption, and determining a vehicle energy consumption level, and the like. Moreover, the method determines the vehicle energy consumption level based on the evaluation energy consumption, the nominal energy consumption discrete coefficient, and the average comprehensive energy consumption, and by introducing a new energy consumption evaluation index, it can more realistically reflect the actual energy consumption performance of the vehicle, and the energy consumption evaluation is more accurate and reliable. In addition, the method is different from the traditional standard cycle operating condition test evaluation method, and a multi-scenario vehicle driving operating condition library is established to realize energy consumption evaluation under a real road environment. The evaluation is not limited by external environmental factors, and the actual vehicle evaluation cycle and cost are saved.

[0048] Furthermore, the present invention introduces multiple influencing factors in a real road environment to correct the vehicle's sliding resistance, which can further improve the accuracy of the evaluation method and make it closer to the actual vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1It is a flow chart of a virtual evaluation method for actual road energy consumption of new energy vehicles provided by the present invention;

[0051] Figure 2 It is a schematic diagram of the actual road condition library generation process in the present invention;

[0052] Figure 3 It is a structural schematic diagram of a virtual evaluation device for actual road energy consumption of new energy vehicles provided by the present invention;

[0053] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0054] The following is a description of exemplary embodiments of the present application in conjunction with the accompanying drawings, including various details of the embodiments of the present application to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, the description of well-known functions and structures is omitted in the following description.

[0055] Example 1

[0056] Figure 1 It is a flow chart of a virtual evaluation method for actual road energy consumption of new energy vehicles provided in this embodiment. The method can be executed by a virtual evaluation device for actual road energy consumption of new energy vehicles. The device can be composed of software and / or hardware and is generally integrated in an electronic device. The electronic device can be a computer. For the sake of ease of understanding, each step in the method of this embodiment is executed by a computer.

[0057] like Figure 1 As shown, this embodiment provides a virtual evaluation method for actual road energy consumption of new energy vehicles, comprising the following steps:

[0058] S110: Construct an evaluation route based on the cities where the vehicles are used and the typical routes of the cities where the vehicles are used.

[0059] Optionally, constructing an evaluation route according to the cities where the vehicles are used and typical routes of the cities where the vehicles are used includes:

[0060] Determine the cities where vehicles are used based on the number of new energy vehicles in each city, the temperature zone to which each city belongs, the geographical region to which each city belongs, and the level of each city;

[0061] The evaluation route is determined based on typical road scenes in the city where the vehicle is used, traffic flow on each driving route, congestion conditions on each driving route, and frequency of use of each driving route.

[0062] Furthermore, the typical road scenes include urban routes, suburban routes, express routes, and high-speed routes. When determining the evaluation route, the typical road scenes, the traffic flow of each driving route, the congestion of each driving route, and the use frequency of each driving route are comprehensively considered.

[0063] S120, generating an actual road condition library according to the evaluation route, month, weather condition, road condition and vehicle use period.

[0064] Optionally, the months include: July, January and April; the weather conditions include: sunny, rainy and snowy; the road conditions include: plains and hills; the car use time periods include: 7:00-9:00, 9:00-12:00, 13:00-16:00, 16:00-18:00, 23:00-06:00. The above months cover the highest, lowest and lowest months of the year, and several days can be selected in each month. Weather conditions should cover as many scenarios as possible, and wind force and direction should be considered. The car use time period covers multiple car use time periods such as morning peak, evening peak, off-peak, and night.

[0065] Alternatively, the months may also be August, January and October.

[0066] The above method can ensure that the actual road condition library can cover the most application scenarios, making the evaluation results more complete and reliable. When using the working condition generation algorithm to generate the above actual road condition library, the appropriate working condition fragments can be inserted to generate working condition curves based on the route driving distance, driving time, average speed, congestion conditions, traffic conditions, traffic light locations and other information provided by the map. In addition, the above actual road condition library can also be generated by collecting data from real vehicles on the road. For example, test sensors such as slope sensors, ambient temperature sensors, vehicle speed sensors, etc. can be installed on the vehicle to obtain real vehicle road condition data under typical routes, and condition fragments can be obtained through cluster analysis. Specifically, Figure 2 shown.

[0067] S130, obtaining test data of the vehicle under various working conditions, wherein the test data is obtained by performing simulation tests using a vehicle model or performing tests using a real vehicle based on the actual road working condition library.

[0068] In actual testing, a vehicle model may be used for simulation testing or a real vehicle may be used for testing.

[0069] Vehicle model: Build a vehicle model based on the vehicle's composition, control strategy, model parameters, etc., which should include one-dimensional simulation modeling of the vehicle's power system and integrated modeling of the thermal management system. The integrated model of the thermal management system includes one-dimensional simulation modeling of the air-conditioning system, one-dimensional simulation modeling of the passenger compartment, one-dimensional simulation modeling of the power battery thermal management system, one-dimensional simulation modeling of the motor electronic control cooling system, and control system modeling. Interaction between data signals is performed based on the energy transmission relationship between models to ensure model accuracy and verify model accuracy. The actual road condition library generated in S130 is introduced into the model for simulation, a large amount of simulation data is obtained, and the energy results are evaluated.

[0070] Among them, when verifying the accuracy of the model, the following formula can be used: Where: MAPE is the deviation between simulation and test indicators, —simulation value; —Test value; N—Total number of samples for all energy consumption evaluations. When MAPE<5%, the model accuracy is considered to meet the requirements.

[0071] S140: Determine the evaluation energy consumption according to the test data.

[0072] Optionally, determining the evaluation energy consumption according to the test data includes:

[0073] Calculating a corrected sliding resistance according to the test data;

[0074] The evaluation energy consumption is determined based on the corrected sliding resistance.

[0075] Optionally, calculating the corrected sliding resistance according to the test data includes:

[0076] Calculate the corrected sliding resistance according to the vehicle speed, ambient temperature, ambient pressure, the angle between the vehicle's driving direction and the wind direction, and the first correction factor in the test data;

[0077] The first correction factor is used to characterize the influence of weather conditions and road conditions on the sliding resistance.

[0078] For the automotive power system, the main part of energy consumption is the energy consumed to overcome driving resistance. The resistance expression is usually measured by coasting test fitting. Coasting test can monitor tire rolling resistance, air resistance, transmission resistance, etc. The constant term is generally regarded as the rolling resistance of the tire, the first-order term is the transmission resistance, and the second-order term is the air resistance. The coasting test requires the road to be flat, clean, dry and windless. Therefore, the coasting resistance in the real road environment needs to be optimized. The environmental factors that affect the correction include temperature, humidity, air pressure, and longitudinal wind speed.

[0079]

[0080]

[0081]

[0082]

[0083]

[0084] Among them: F 基准 — sliding resistance under reference conditions, N;

[0085] F 修正 — Corrected sliding resistance considering actual environmental factors, N;

[0086] V — vehicle speed, km / h;

[0087] A — constant term coefficient under reference conditions, N;

[0088] B — linear coefficient under reference conditions, N / (km / h);

[0089] C — quadratic coefficient under reference conditions, N / (km / h) 2 ;

[0090] f0— constant term coefficient in real road environment, N;

[0091] f1— linear coefficient under real road conditions, N / (km / h);

[0092] f2— quadratic term coefficient under real road conditions, N / (km / h) 2 ;

[0093] K0—Rolling resistance correction factor, K -1 ;

[0094] T — ambient temperature, °C;

[0095] p — ambient pressure, kPa;

[0096] w1—wind resistance correction value, N;

[0097] — first correction factor;

[0098] K2—air resistance correction factor;

[0099] V a — wind speed, km / h;

[0100] — The angle between the vehicle’s travel direction and the wind direction, degrees.

[0101] First correction factor As shown in the following table:

[0102]

[0103] Optionally, the energy consumption E i The calculation is done using the following formula:

[0104] ;

[0105] ;

[0106] ;

[0107] Where: V i — vehicle speed at time i, m / s;

[0108] V i+1 — Vehicle speed at time i+1, m / s;

[0109] V i-1 — Vehicle speed at time i-1, m / s;

[0110] P 附件 — Accessory power, including air conditioning, low-voltage accessories, etc., W;

[0111] m — vehicle mass, kg;

[0112] a i — acceleration at time i, m / s 2 ;

[0113] — Sampling time interval, s.

[0114] S150. Determine a nominal energy consumption dispersion coefficient according to the measured energy consumption and the nominal energy consumption.

[0115] The energy consumption virtual evaluation method mentioned in this embodiment involves a large amount of energy consumption data, and a relatively accurate and reliable evaluation of the big data results is required. Temperature and route conditions have a significant impact on energy consumption, so it is proposed to conduct a comprehensive evaluation of energy consumption for different seasons and different routes, and to use the nominal energy consumption dispersion coefficient to reflect the degree of fluctuation of energy consumption.

[0116] Nominal energy consumption dispersion coefficient: reflects the energy consumption E i Relative to the dispersion of the nominal energy consumption E, the smaller the dispersion, the smaller the fluctuation of the vehicle energy consumption under different environments and road conditions, and the better the vehicle performance; otherwise, it is worse.

[0117] , where N is the total number of samples for all energy consumption measurements.

[0118] S160: Determine the average comprehensive energy consumption based on the evaluated energy consumption.

[0119] Optionally, determining the average comprehensive energy consumption according to the evaluated energy consumption includes:

[0120] According to the measured energy consumption, a first data set and a second data set are determined; wherein the first data set is a data set formed by dividing the measured energy consumption according to months, and the second data set is a data set formed by dividing the measured energy consumption according to typical road scenes;

[0121] Determining a first comprehensive energy consumption according to the first data set;

[0122] determining a second comprehensive energy consumption according to the second data set;

[0123] An average comprehensive energy consumption is determined according to the first comprehensive energy consumption and the second comprehensive energy consumption.

[0124] Among them, the first data set can mainly reflect the impact of temperature on the energy consumption of the evaluation. Therefore, the first data set can be used to comprehensively evaluate the energy consumption of the high temperature season, low temperature season, and normal temperature season in a year. The calculation method is as follows:

[0125]

[0126] The second data set can mainly reflect the impact of different driving routes on the energy consumption of the evaluation, so a comprehensive evaluation is made on the energy consumption of urban routes, express routes, and high-speed routes. The calculation method is as follows:

[0127]

[0128] The above EC1 is the first comprehensive energy consumption, and the above EC2 is the second comprehensive energy consumption.

[0129] According to the first comprehensive energy consumption and the second comprehensive energy consumption, the average comprehensive energy consumption is calculated. : .

[0130] It should be understood that the above nominal energy consumption dispersion coefficient, first comprehensive energy consumption, second comprehensive energy consumption and average comprehensive energy consumption are all results obtained by considering all working conditions in all cities, rather than the test results of a certain working condition in a certain city.

[0131] S170. Determine the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0132] Optionally, determining the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption includes:

[0133] If the nominal energy consumption dispersion coefficient is less than value A, and the average comprehensive energy consumption is less than value I, then the vehicle energy consumption level is determined to be excellent;

[0134] If the nominal energy consumption dispersion coefficient is greater than value B, or the average comprehensive energy consumption is greater than value II, then the vehicle energy consumption level is determined to be poor; wherein B>A, II>I;

[0135] In other cases, the vehicle's energy consumption level is determined to be good.

[0136] The following table can be used to determine the vehicle energy consumption level:

[0137]

[0138] The above-mentioned virtual evaluation method for actual road energy consumption of new energy vehicles achieves the purpose of covering many cities and many vehicle usage scenarios without large-scale road testing by constructing evaluation routes, generating actual road condition libraries, obtaining test data, determining evaluation energy consumption, determining nominal energy consumption dispersion coefficients, determining average comprehensive energy consumption, and determining vehicle energy consumption levels. It can efficiently and conveniently conduct actual road energy consumption evaluation, and this method determines the vehicle energy consumption level based on evaluation energy consumption, nominal energy consumption dispersion coefficients, and average comprehensive energy consumption. By introducing new energy consumption evaluation indicators, it can more realistically reflect the actual energy consumption performance of the vehicle, and the energy consumption evaluation is more accurate and reliable. In addition, this method is different from the traditional standard cycle condition test evaluation method. It has established a multi-scenario vehicle driving condition library to achieve energy consumption evaluation under real road conditions. The evaluation is not restricted by external environmental factors, saving the actual vehicle evaluation cycle and cost.

[0139] Furthermore, the present invention introduces multiple influencing factors in a real road environment to correct the vehicle's sliding resistance, which can further improve the accuracy of the evaluation method and make it closer to the actual vehicle.

[0140] Example 2

[0141] like Figure 3 As shown, this embodiment provides a virtual evaluation device for actual road energy consumption of new energy vehicles, including:

[0142] An evaluation route construction module 201 is used to construct an evaluation route according to the cities where the vehicles are used and the typical routes of the cities where the vehicles are used;

[0143] The actual road condition library generation module 202 is used to generate the actual road condition library according to the evaluation route, month, weather condition, road condition and vehicle use period;

[0144] The test data acquisition module 203 is used to acquire the test data of the vehicle under various working conditions, wherein the test data is based on the actual road working condition library and is obtained by using a vehicle model for simulation testing or using a real vehicle for testing;

[0145] The evaluation energy consumption determination module 204 is used to determine the evaluation energy consumption according to the test data;

[0146] A nominal energy consumption dispersion coefficient determination module 205 is used to determine a nominal energy consumption dispersion coefficient according to the measured energy consumption and the nominal energy consumption;

[0147] The average comprehensive energy consumption determination module 206 is used to determine the average comprehensive energy consumption according to the evaluated energy consumption;

[0148] The vehicle energy consumption level determination module 207 is used to determine the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0149] The device is used to execute the above method, and thus has at least functional modules and beneficial effects corresponding to the above method.

[0150] Example 3

[0151] like Figure 4 As shown, this embodiment provides an electronic device, including:

[0152] at least one processor; and

[0153] a memory communicatively connected to at least one of the processors; wherein,

[0154] The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors to enable at least one of the processors to perform the above method. At least one processor in the electronic device can perform the above method, and thus has at least the same advantages as the above method.

[0155] Optionally, the electronic device also includes interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. The various components are connected to each other using different buses and can be installed on a common mainboard or installed in other ways as needed. The processor can process instructions executed in the electronic device, including instructions stored in or on a memory to display graphical information of a GUI (Graphical User Interface) on an external input / output device (such as a display device coupled to an interface). In other embodiments, if necessary, multiple processors can be used together with multiple memories, and / or multiple buses can be used together with multiple memories. Similarly, multiple electronic devices can be connected (for example, as a server array, a group of blade servers, or a multi-processor system), and each device provides some necessary operations. Figure 4 A processor 301 is taken as an example.

[0156] The memory 302, as a computer-readable storage medium, can be used to store software programs, computer executable programs and modules, such as the program instructions / modules corresponding to the virtual evaluation method for the actual road energy consumption of new energy vehicles in the embodiment of the present invention (for example, the evaluation route construction module, the actual road working condition library generation module, the test data acquisition module, the evaluation energy consumption determination module, the nominal energy consumption discrete coefficient determination module, the average comprehensive energy consumption determination module, and the vehicle energy consumption level determination module in the virtual evaluation device for the actual road energy consumption of new energy vehicles). The processor 301 executes various functional applications and data processing of the device by running the software programs, instructions and modules stored in the memory 302, that is, realizes the above-mentioned virtual evaluation method for the actual road energy consumption of new energy vehicles.

[0157] The memory 302 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system and at least one application required for a function; the data storage area may store data created according to the use of the terminal, etc. In addition, the memory 302 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 302 may further include a memory remotely arranged relative to the processor 301, and these remote memories may be connected to the device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0158] The electronic device may further include: an input device 303 and an output device 304. The processor 301, the memory 302, the input device 303 and the output device 304 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0159] The input device 303 can receive input digital or character information, and the output device 304 can include a display device, an auxiliary lighting device (e.g., LED), and a tactile feedback device (e.g., a vibration motor), etc. The display device can include, but is not limited to, a liquid crystal display (LCD), a light emitting diode (LED) display, and a plasma display. In some embodiments, the display device can be a touch screen.

[0160] Example 4

[0161] This embodiment provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to enable a computer to execute the above method. The computer instructions on the computer-readable storage medium are used to enable a computer to execute the above method, and thus have at least the same advantages as the above method.

[0162] The medium in the present invention may adopt any combination of one or more computer-readable media. The medium may be a computer-readable signal medium or a computer-readable storage medium. The medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples of the medium (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this document, the medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, device, or device.

[0163] Computer-readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0164] The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to wireless, wire, optical cable, RF (Radio Frequency), etc., or any suitable combination of the above.

[0165] Computer program code for performing the operations of the present invention may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0166] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0167] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A virtual evaluation method for actual road energy consumption of new energy vehicles, characterized in that: include: Constructing an evaluation route based on cities where the vehicles are used and typical routes in each of the cities where the vehicles are used; Generate an actual road condition database based on the evaluation route, month, weather condition, road condition and vehicle use period; Acquire test data of the vehicle under various working conditions, wherein the test data is based on the actual road working condition library and is obtained by using a vehicle model for simulation testing or using a real vehicle for testing; Determining the evaluation energy consumption according to the test data includes: calculating the corrected sliding resistance according to the test data; determining the evaluation energy consumption according to the corrected sliding resistance; the calculating the corrected sliding resistance according to the test data includes: calculating the corrected sliding resistance according to the vehicle speed, ambient temperature, ambient pressure, the angle between the vehicle driving direction and the wind direction, and a first correction factor in the test data; the first correction factor is used to characterize the influence of weather conditions and road conditions on the sliding resistance; Determining a nominal energy consumption dispersion coefficient based on the measured energy consumption and the nominal energy consumption; Determine the average comprehensive energy consumption based on the evaluated energy consumption; The vehicle energy consumption level is determined according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

2. The virtual evaluation method for actual road energy consumption of new energy vehicles according to claim 1 is characterized in that: The constructing of the evaluation route according to the city where the vehicle is used and the typical routes of each city where the vehicle is used comprises: Determine the cities where vehicles are used based on the number of new energy vehicles in each city, the temperature zone to which each city belongs, the geographical region to which each city belongs, and the level of each city; The evaluation route is determined based on typical road scenes in the city where the vehicle is used, traffic flow on each driving route, congestion conditions on each driving route, and frequency of use of each driving route.

3. The virtual evaluation method for actual road energy consumption of new energy vehicles according to claim 1 is characterized in that: The months include: July, January and April; the weather conditions include: sunny, rainy and snowy; the road conditions include: plains and hills; the vehicle usage time periods include: 7:00-9:00, 9:00-12:00, 13:00-16:00, 16:00-18:00 and 23:00-06:

00.

4. The virtual evaluation method for actual road energy consumption of new energy vehicles according to claim 1 is characterized in that: Determining the average comprehensive energy consumption according to the evaluated energy consumption includes: According to the measured energy consumption, a first data set and a second data set are determined; wherein the first data set is a data set formed by dividing the measured energy consumption according to months, and the second data set is a data set formed by dividing the measured energy consumption according to typical road scenes; Determining a first comprehensive energy consumption according to the first data set; determining a second comprehensive energy consumption according to the second data set; An average comprehensive energy consumption is determined according to the first comprehensive energy consumption and the second comprehensive energy consumption.

5. The virtual evaluation method for actual road energy consumption of new energy vehicles according to claim 1 is characterized in that: The determining the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption includes: If the nominal energy consumption dispersion coefficient is less than value A, and the average comprehensive energy consumption is less than value I, then the vehicle energy consumption level is determined to be excellent; If the nominal energy consumption dispersion coefficient is greater than value B, or the average comprehensive energy consumption is greater than value II, then the vehicle energy consumption level is determined to be poor; wherein B>A, II>I; In other cases, the vehicle's energy consumption level is determined to be good.

6. A virtual evaluation device for actual road energy consumption of new energy vehicles, characterized in that: include: An evaluation route construction module, used to construct an evaluation route according to the cities where the vehicles are used and the typical routes of the cities where the vehicles are used; An actual road condition library generation module is used to generate an actual road condition library according to the evaluation route, month, weather condition, road condition and vehicle use period; A test data acquisition module, used to acquire test data of the vehicle under various working conditions, wherein the test data is based on the actual road working condition library and is obtained by using a vehicle model for simulation testing or using a real vehicle for testing; The evaluation energy consumption determination module is used to determine the evaluation energy consumption according to the test data, including: calculating the corrected sliding resistance according to the test data; determining the evaluation energy consumption according to the corrected sliding resistance; the calculation of the corrected sliding resistance according to the test data includes: calculating the corrected sliding resistance according to the vehicle speed, ambient temperature, ambient pressure, the angle between the vehicle driving direction and the wind direction, and a first correction factor in the test data; the first correction factor is used to characterize the influence of weather conditions and road conditions on the sliding resistance; A nominal energy consumption dispersion coefficient determination module, used to determine the nominal energy consumption dispersion coefficient according to the measured energy consumption and the nominal energy consumption; An average comprehensive energy consumption determination module, used to determine the average comprehensive energy consumption according to the evaluated energy consumption; The vehicle energy consumption level determination module is used to determine the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

7. An electronic device, characterized in that: include: at least one processor, and a memory communicatively coupled to at least one of the processors; The memory stores instructions executable by at least one of the processors, and the instructions are executed by at least one of the processors so that the at least one processor can execute the method according to any one of claims 1 to 5.

8. A computer-readable storage medium, characterized in that: The medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method according to any one of claims 1 to 5.

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