Method and apparatus for virtual evaluation of on-road energy consumption of new energy vehicle

Abstract

A method for virtual evaluation of on-road energy consumption of a new energy vehicle, comprising: constructing an evaluation route on the basis of cities where a vehicle is used and typical routes of said cities; generating an on-road working condition library on the basis of the evaluation route, a month, a weather condition, a road condition and a vehicle usage period; acquiring test data of the vehicle under different working conditions; determining evaluated energy consumption on the basis of the test data; determining a nominal energy consumption discrete coefficient on the basis of the evaluated energy consumption and nominal energy consumption; determining average comprehensive energy consumption on the basis of the evaluated energy consumption; and determining an energy consumption level of the vehicle on the basis of the nominal energy consumption discrete coefficient and the average comprehensive energy consumption. Also disclosed is an apparatus for virtual evaluation of on-road energy consumption of a new energy vehicle. Even without large-scale road testing, on-road energy consumption can still be efficiently and conveniently evaluated in numerous cities and diverse vehicle usage scenarios.

Description

A new energy vehicle actual road energy consumption virtual evaluation method and device TECHNICAL FIELD

[0001] The present application relates to the field of new energy vehicle testing, in particular to a new energy vehicle actual road energy consumption virtual evaluation method and device. BACKGROUND

[0002] New energy vehicles have low pollutant emissions and high energy utilization rates, and can effectively address the energy crisis and environmental pollution challenges faced by 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 is developing rapidly, and its range, service life, safety and other aspects are increasingly attracting attention. At present, the range and energy consumption testing of electric vehicles in China mainly refers to GB / T 18386, and is tested based on a hub bench, however, the actual driving conditions are complex, the environment and road factors are variable, and different users and different regional conditions all lead to a large difference between actual energy consumption and announced energy consumption. Therefore, it is urgent to carry out energy efficiency evaluation research based on actual roads.

[0003] Traditional methods based on actual road real data can reflect the true energy consumption level of the vehicle and are closer to the user's use scenario, but the road factors are variable, the testing time and cost are high, and it is difficult to expand on a large scale.

[0004] Therefore, the present application is proposed. SUMMARY

[0005] The purpose of the present application is to provide a vehicle actual road energy consumption virtual evaluation method and device, which can cover many cities and many use scenarios without the need for large-scale road testing, and efficiently and conveniently evaluate the actual road energy consumption.

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

[0007] In a first aspect, the present application provides a new energy vehicle actual road energy consumption virtual evaluation method, comprising:

[0008] constructing an evaluation route according to the cities used by the vehicles and the typical routes of each of the cities used by the vehicles;

[0009] generating an actual road condition library according to the evaluation route, the month, the weather condition, the road condition and the use time period;

[0010] obtaining test data of the vehicles under each condition, the test data being data obtained by simulating testing using a vehicle model or testing using an actual vehicle based on the actual road condition library;

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

[0012] According to the evaluation energy consumption and the nominal energy consumption, a nominal energy consumption discrete coefficient is determined;

[0013] According to the evaluation energy consumption, an average comprehensive energy consumption is determined.

[0014] According to the nominal energy consumption discrete coefficient and the average comprehensive energy consumption, a vehicle energy consumption level is determined.

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

[0016] According to the new energy vehicle ownership of each city, the temperature zone to which each city belongs, the geographical region to which each city belongs, and the grade of each city, the city used by the vehicle is determined.

[0017] According to the typical road scene of the city used by the vehicle, the traffic flow of each driving route, the congestion condition of each driving route, and the use frequency of each driving route, the evaluation route is determined.

[0018] As a further preferred technical solution, the months include July, January, and April; the weather conditions include sunny day, rainy day, and snowy day; the road conditions include plain and hilly; and the vehicle use 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, the evaluation energy consumption is determined according to the test data, comprising:

[0020] According to the test data, a corrected rolling resistance is calculated.

[0021] According to the corrected rolling resistance, the evaluation energy consumption is determined.

[0022] As a further preferred technical solution, the corrected rolling resistance is calculated according to the test data, comprising:

[0023] According to the vehicle speed, the ambient temperature, the ambient pressure, the angle between the vehicle driving direction and the wind direction, and the first correction factor in the test data, the corrected rolling resistance is calculated.

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

[0025] As a further preferred technical solution, the average comprehensive energy consumption is determined according to the evaluation energy consumption, comprising:

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

[0027] According to the first data set, a first comprehensive energy consumption is determined;

[0028] According to the second data set, a second comprehensive energy consumption is determined;

[0029] According to the first comprehensive energy consumption and the second comprehensive energy consumption, an average comprehensive energy consumption is determined.

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

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

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

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

[0034] In a second aspect, the present application provides a new energy vehicle actual road energy consumption virtual evaluation device, comprising:

[0035] An evaluation route construction module is configured to construct an evaluation route according to cities used by vehicles and typical routes of each city used by the vehicles;

[0036] An actual road working condition library generation module is configured to generate an actual road working condition library according to the evaluation route, months, weather conditions, road conditions, and vehicle use time periods;

[0037] A test data acquisition module is configured to acquire test data of vehicles under each working condition, wherein the test data is obtained by simulating test or test of actual vehicles based on the actual road working condition library;

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

[0039] A nominal energy consumption dispersion coefficient determination module is configured to determine a nominal energy consumption dispersion coefficient according to the evaluation energy consumption and nominal energy consumption;

[0040] An average comprehensive energy consumption determination module is configured to determine an average comprehensive energy consumption according to the evaluation energy consumption;

[0041] a vehicle energy consumption level determining module configured to determine a vehicle energy consumption level according to the nominal energy consumption discrete coefficient and the average comprehensive energy consumption.

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

[0043] at least one processor, and a memory connected with the at least one processor in communication;

[0044] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described above.

[0045] In a fourth aspect, the present application provides a computer readable storage medium, and the medium stores computer instructions for enabling a computer to perform the method described above.

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

[0047] The new energy vehicle actual road energy consumption virtual evaluation method provided by the present application realizes the purpose of covering many cities and many driving scenarios without large-scale road testing, efficiently and conveniently performing actual road energy consumption evaluation, and determining the vehicle energy consumption level based on the evaluation energy consumption, the nominal energy consumption discrete coefficient and the average comprehensive energy consumption. By introducing a new energy consumption evaluation index, the actual energy consumption performance of the vehicle can be more truly reflected, and the energy consumption evaluation is more accurate and reliable. In addition, the method is different from the traditional standard cycle test evaluation method, a multi-scenario vehicle driving cycle library is established, and energy consumption evaluation under real road environment is realized. The evaluation is not limited by external environmental factors, and the real vehicle evaluation period and cost are saved.

[0048] Further, the present application introduces a plurality of influence factors in the real road environment to correct the vehicle coasting resistance, which can further improve the accuracy of the evaluation method and make it closer to the real vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0049] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0050] Fig. 1 is a flow diagram of a new energy vehicle actual road energy consumption virtual evaluation method provided by the present application;

[0051] Fig. 2 is a schematic diagram of an actual road working condition library generation process in the present application;

[0052] Fig. 3 is a structural schematic diagram of a new energy vehicle actual road energy consumption virtual evaluation device provided by the present application;

[0053] Fig. 4 is a structural schematic diagram of an electronic device provided by the present application. DETAILED DESCRIPTION

[0054] The exemplary embodiments of the present application are described below with reference to the accompanying drawings, which include various details of the embodiments of the present application to assist in understanding, and should be considered as merely exemplary. Thus, those of ordinary skill in the art will realize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Also, for the sake of brevity and clarity, descriptions of well-known functions and constructions are omitted from the following description.

[0055] Embodiment 1

[0056] Fig. 1 is a flow diagram of a new energy vehicle actual road energy consumption virtual evaluation method provided by the present application. The method can be executed by a new energy vehicle actual road energy consumption virtual evaluation device, which can be composed of software and / or hardware and is generally integrated in an electronic device, which can be a computer. For the sake of understanding, each step in the method of the present embodiment is taken as the main body of the computer.

[0057] As shown in Fig. 1, the present embodiment provides a new energy vehicle actual road energy consumption virtual evaluation method, which includes the following steps:

[0058] S110, constructing an evaluation route according to the cities where the vehicles are used and the typical routes of each of the cities where the vehicles are used.

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

[0060] determining the cities where the vehicles are used according to the new energy vehicle ownership of each city, the temperature zone to which each city belongs, the geographical region to which each city belongs, and the grade of each city;

[0061] determining the evaluation route according to the typical road scene of the cities where the vehicles are used, the traffic flow of each driving route, the congestion status of each driving route, and the usage frequency of each driving route.

[0062] Further, the typical road scenes include urban road, suburban road, expressway, and highway. When determining the evaluation routes, the typical road scenes, traffic flow of each driving route, congestion status of each driving route, and usage frequency of each driving route are comprehensively considered.

[0063] S120, generating an actual road working condition library according to the evaluation routes, months, weather conditions, road conditions, and vehicle use time periods.

[0064] Optionally, the months include July, January, and April; the weather conditions include sunny day, rainy day, and snowy day; the road conditions include plain and hilly; and the vehicle use time periods include 7:00-9:00, 9:00-12:00, 13:00-16:00, 16:00-18:00, and 23:00-06:00. The months cover the months with the highest, lowest, and constant temperature throughout the year, and several days in each month can be selected. The weather conditions should cover as many scenes as possible, and the wind force and direction should be considered. The vehicle use time periods cover early peak, late peak, idle time, night, and other vehicle use time periods.

[0065] Optionally, the months can also be August, January, and October.

[0066] The above method can ensure that the actual road working condition library can cover the most application scenarios, and the evaluation result is more perfect and reliable. When the working condition generation algorithm is used to generate the actual road working condition library, the route driving distance, driving time, average speed, congestion status, traffic condition, and traffic light position provided by the map can be used to insert appropriate working condition segments to generate a working condition curve. In addition, the actual road working condition library can also be generated by road real vehicle collection, for example, a test sensor such as a slope sensor, an environment temperature sensor, and a vehicle speed sensor can be added to the vehicle to obtain real vehicle road working condition data under a typical route, and a working condition segment can be obtained through cluster analysis, as shown in FIG. 2.

[0067] S130, obtaining test data of the vehicle under each working condition, the test data being data obtained by simulation test of a vehicle model or test of a real vehicle based on the actual road working condition library.

[0068] In actual test, the simulation test of the vehicle model or the test of the real vehicle can be used.

[0069] Vehicle model: according to the composition architecture, control strategy, model parameters of the vehicle, the vehicle model is built, which should include one-dimensional simulation modeling of the vehicle power system, integrated modeling of the thermal management system. The integrated modeling 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 electric control cooling system, and control system modeling. According to the energy transmission relationship between the models, the interaction between the data signals is realized to ensure the model accuracy, and the model accuracy is verified. The actual road working 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] Wherein, when the model accuracy is verified, the following formula can be used:

[0071] Where: MAPE is the deviation between simulation and test index, - simulation value; - test value; N - total number of all sample energy consumption. When MAPE < 5%, it is considered that the model accuracy meets the requirements.

[0072] S140, according to the test data, determine the evaluation energy consumption.

[0073] Optionally, according to the test data, the evaluation energy consumption includes:

[0074] According to the test data, the corrected rolling resistance is calculated;

[0075] According to the corrected rolling resistance, the evaluation energy consumption is determined.

[0076] Optionally, according to the test data, the corrected rolling resistance is calculated, including:

[0077] According to the vehicle speed, ambient temperature, ambient pressure, angle between vehicle driving direction and wind direction, and first correction factor in the test data, the corrected rolling resistance is calculated;

[0078] The first correction factor is used to represent the influence of weather conditions and road conditions on the rolling resistance.

[0079] For the automobile power system, the main part of energy consumption is the energy consumption to overcome the rolling resistance. The resistance expression is usually fitted by rolling test. Rolling test can monitor tire rolling resistance, air resistance, transmission system resistance, etc. The constant term is generally considered as the rolling resistance of the tire, the first order term is the transmission system resistance, and the second order term is the air resistance. When rolling test is tested, the road is required to be flat, clean and dry, and there is no wind, so it is necessary to optimize the rolling resistance in the real road environment. The environmental factors affecting the correction include temperature, humidity, air pressure and longitudinal wind speed.

[0080]

[0081]

[0082]

[0083]

[0084]

[0085] wherein: F 基准 — sliding resistance in the reference state, N;

[0086] F 修正 — modified sliding resistance considering real environmental factors, N;

[0087] V — vehicle speed, km / h;

[0088] A — constant term coefficient in the reference state, N;

[0089] B — linear term coefficient in the reference state, N / (km / h);

[0090] C — quadratic term coefficient in the reference state, N / (km / h) 2 ;

[0091] f0 — constant term coefficient in the real road environment, N;

[0092] f1 — linear term coefficient in the real road environment, N / (km / h);

[0093] f2 — quadratic term coefficient in the real road environment, N / (km / h) 2 ;

[0094] K0 — rolling resistance correction factor, K -1 ;

[0095] T — ambient temperature, °C;

[0096] p — ambient pressure, kPa;

[0097] w1 — wind resistance correction value, N;

[0098] — first correction factor;

[0099] K2 — air resistance correction factor;

[0100] V a — wind speed, km / h;

[0101] — the angle between the vehicle driving direction and the wind direction, °.

[0102] First correction factor As shown in the following table:

[0103]

[0104] Optionally, the evaluation energy consumption E i The following formula is used for calculation:

[0105]

[0106] ;

[0107] ;

[0108] Wherein: V i — vehicle speed at i moment, m / s;

[0109] V i+1 — vehicle speed at i+1 moment, m / s;

[0110] V i-1 — vehicle speed at i-1 moment, m / s;

[0111] P 附件 — accessory power, including air conditioner, low-voltage accessories, etc., W;

[0112] m — vehicle mass, kg;

[0113] a i — acceleration at i moment, m / s 2 ;

[0114] — sampling time interval, s.

[0115] S150, according to the evaluation energy consumption and the nominal energy consumption, determining the nominal energy consumption dispersion coefficient.

[0116] The energy consumption virtual evaluation method mentioned in the embodiment involves a large amount of energy consumption data, and the big data results need to be evaluated more accurately and reliably. Temperature and route working conditions have a significant impact on energy consumption, so a comprehensive evaluation of energy consumption is proposed for different seasons and different routes, and a nominal energy consumption dispersion coefficient is proposed to reflect the fluctuation degree of energy consumption.

[0117] Nominal energy consumption dispersion coefficient l: reflects the evaluation energy consumption E iThe smaller the discrete degree relative to the nominal energy consumption E, the smaller the fluctuation of the vehicle energy consumption under different environments and road conditions, and the better the vehicle performance; otherwise, the performance is poor.

[0118] , wherein N is the total number of all sample energy consumptions.

[0119] S160, determining an average comprehensive energy consumption according to the evaluation energy consumption.

[0120] Optionally, the step of determining an average comprehensive energy consumption according to the evaluation energy consumption comprises:

[0121] determining a first data set and a second data set according to the evaluation energy consumption; wherein the first data set is a data set formed by dividing the evaluation energy consumption by months, and the second data set is a data set formed by dividing the evaluation energy consumption by typical road scenes;

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

[0123] determining a second comprehensive energy consumption according to the second data set;

[0124] determining an average comprehensive energy consumption according to the first comprehensive energy consumption and the second comprehensive energy consumption.

[0125] The first data set can mainly reflect the influence of temperature on the evaluation energy consumption, so that the first data set can be used to comprehensively evaluate the energy consumption in high-temperature seasons, low-temperature seasons and normal-temperature seasons in a year, and the calculation method is as follows:

[0126]

[0127] The second data set can mainly reflect the influence of different driving routes on the evaluation energy consumption, so that the energy consumption of urban routes, expressway routes and highway routes can be comprehensively evaluated, and the calculation method is as follows:

[0128]

[0129] The above EC1 is the first comprehensive energy consumption, and the above EC2 is the second comprehensive energy consumption.

[0130] determining an average comprehensive energy consumption according to the first comprehensive energy consumption and the second comprehensive energy consumption .

[0131] It should be understood that the above nominal energy consumption discrete coefficient, first comprehensive energy consumption, second comprehensive energy consumption and average comprehensive energy consumption are all results obtained by considering all cities and all working conditions, rather than test results of a certain city and a certain working condition.

[0132] S170, determining the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0133] Optionally, the determining the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption comprises:

[0134] If the nominal energy consumption dispersion coefficient is less than a numerical value A, and the average comprehensive energy consumption is less than a numerical value I, the vehicle energy consumption level is determined to be excellent.

[0135] If the nominal energy consumption dispersion coefficient is greater than a numerical value B, or the average comprehensive energy consumption is greater than a numerical value II, the vehicle energy consumption level is determined to be poor; wherein B>A, II>I.

[0136] In other cases, the vehicle energy consumption level is determined to be good.

[0137] Specifically, the vehicle energy consumption level can be determined by the following table:

[0138]

[0139] The new energy vehicle actual road energy consumption virtual evaluation method realizes the purpose of covering many cities and many driving scenarios without large-scale road testing, efficiently and conveniently performing actual road energy consumption evaluation. The method determines the vehicle energy consumption level based on the evaluation energy consumption, the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption, introduces a new energy consumption evaluation index, and can more truly reflect the actual energy consumption performance of the vehicle, and is more accurate and reliable for energy consumption evaluation. In addition, the method is different from the traditional standard cycle test evaluation method, establishes a multi-scene vehicle driving cycle library, realizes energy consumption evaluation in a real road environment, and is not limited by external environmental factors, saving the real vehicle evaluation period and cost.

[0140] Further, the present application introduces a plurality of influence factors in the real road environment to correct the vehicle coasting resistance, which can further improve the accuracy of the evaluation method and make it closer to the real vehicle.

[0141] Embodiment 2

[0142] As shown in FIG. 3, the present embodiment provides a new energy vehicle actual road energy consumption virtual evaluation device, comprising:

[0143] The evaluation route construction module 201 is configured to construct an evaluation route according to the cities used by the vehicle and the typical routes of each of the cities used by the vehicle.

[0144] The actual road working condition library generation module 202 is configured to generate an actual road working condition library according to the evaluation route, month, weather condition, road condition, and vehicle use time period;

[0145] The test data acquisition module 203 is configured to acquire test data of the vehicle under various working conditions, the test data being data obtained by simulation test of a vehicle model or test of an actual vehicle based on the actual road working condition library;

[0146] The evaluation energy consumption determination module 204 is configured to determine evaluation energy consumption according to the test data;

[0147] The nominal energy consumption dispersion coefficient determination module 205 is configured to determine a nominal energy consumption dispersion coefficient according to the evaluation energy consumption and the nominal energy consumption;

[0148] The average comprehensive energy consumption determination module 206 is configured to determine average comprehensive energy consumption according to the evaluation energy consumption;

[0149] The vehicle energy consumption level determination module 207 is configured to determine a vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

[0150] The device is configured to execute the above method, and thus has at least the same functional modules and advantages as the above method.

[0151] Embodiment 3

[0152] As shown in FIG. 4, the embodiment provides an electronic device, which comprises:

[0153] at least one processor; and

[0154] a memory connected in communication with the at least one processor; wherein

[0155] The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above method. The at least one processor in the electronic device can execute the above method, and thus has at least the same advantages as the above method.

[0156] Optionally, the electronic device further includes interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components are connected to each other by different buses, and can be mounted on a common mainboard or otherwise mounted as needed. The processor can process instructions executed within the electronic device, including instructions stored in the memory or graphical information stored on the memory to display a GUI (Graphical User Interface) on an external input / output device such as a display device coupled to the interface. In other embodiments, multiple processors can be used with multiple memories, and / or multiple buses can be used with multiple memories, if necessary. Similarly, multiple electronic devices can be connected (e.g., as a server array, a set of blade servers, or a multi-processor system), each device providing part of the necessary operations. One processor 301 is taken as an example in Figure 4.

[0157] The memory 302, as a computer readable storage medium, can be used to store software programs, computer executable programs and modules, such as program instructions / modules corresponding to the new energy vehicle actual road energy consumption virtual evaluation method in the embodiments of the present application (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 dispersion coefficient determination module, the average comprehensive energy consumption determination module, and the vehicle energy consumption level determination module in the new energy vehicle actual road energy consumption virtual evaluation device). 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, implements the new energy vehicle actual road energy consumption virtual evaluation method described above.

[0158] The memory 302 can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system and application programs required by at least one function; the data storage area can store data created according to the use of the terminal, etc. In addition, the memory 302 can include a high-speed random access memory, and can also include a non-volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non-volatile solid-state memory device. In some examples, the memory 302 can further include a memory remotely arranged with respect to the processor 301, which can be connected to the device through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0159] The electronic device can 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 can be connected by a bus or other means, and Figure 4 takes the connection by the bus as an example.

[0160] 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., an LED), a tactile feedback device (e.g., a vibration motor), and the like. 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.

[0161] Embodiment 4

[0162] The embodiment provides a computer readable storage medium, and the medium stores computer instructions for making a computer execute the method described above. The computer instructions on the computer readable storage medium are used for making the computer execute the method described above, and thus at least have the same advantages as the method described above.

[0163] The medium in the present application can adopt any combination of one or more computer readable media. The medium can be a computer readable signal medium or a computer readable storage medium. The medium may, for example, be but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or apparatus, or any combination of the above. More specific examples (non-exhaustive list) of the medium include an electrical connection having one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, the medium can be any tangible medium that contains or stores a program used by or in connection with an instruction execution system, apparatus or device.

[0164] The computer readable signal medium can include a data signal propagated in baseband or propagated as a carrier wave in a propagated data signal, in which the computer readable program code is contained. Such a propagated data signal can take many forms, including but not limited to electro-magnetic, optical, or any suitable combination thereof. The computer readable signal medium can also be any computer readable medium that can send, propagate or transport the program for use by or in connection with an instruction execution system, apparatus or device.

[0165] The program code contained on the computer readable medium can be transmitted using any suitable medium, including but not limited to wireless, wire line, optical cable, RF (Radio Frequency), and the like, or any suitable combination thereof.

[0166] Computer program code for carrying out operations of the present application can be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code can execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer can 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 the connection can be made to an external computer (for example, through the Internet using an Internet Service Provider).

[0167] It should be understood that the steps as shown above can be reordered, added to, or deleted from, using the various forms of flow shown above. For example, the steps described in the present application can be performed in parallel, in series, or in a different order, as long as the desired results of the technology disclosed in the present application can be achieved, which is not limited herein.

[0168] The specific embodiments described above are not intended to be limiting, and persons skilled in the art will appreciate that various modifications, combinations, sub-combinations and alternatives can be made to the specific embodiments without departing from the spirit and scope of the disclosure. Any further modifications, equivalents, alternatives, and / or improvements made to the specific embodiments described above are intended to fall within the scope of the disclosure.

Claims

1. A method for virtually evaluating actual road energy consumption of a new energy vehicle, characterized in that, The method comprises the following steps: constructing an evaluation route according to cities where the vehicle is used and typical routes of each of the cities where the vehicle is used; generating an actual road working condition library according to the evaluation route, months, weather conditions, road conditions and vehicle use time periods; obtaining test data of the vehicle under each working condition, the test data being obtained by simulating test of the vehicle model or test of the actual vehicle based on the actual road working condition library; determining an evaluation energy consumption according to the test data, comprising: calculating a corrected rolling resistance according to the test data; determining the evaluation energy consumption according to the corrected rolling resistance; wherein the calculation of the corrected rolling resistance according to the test data comprises: calculating the corrected rolling resistance according to vehicle speed, ambient temperature, ambient pressure, an included angle between a vehicle travel direction and a wind direction and a first correction factor in the test data; the first correction factor is used to represent the influence of weather conditions and road conditions on the rolling resistance; determining a nominal energy consumption dispersion coefficient according to the evaluation energy consumption and a nominal energy consumption; determining an average comprehensive energy consumption according to the evaluation energy consumption; determining a vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

2. The method according to claim 1, wherein, The construction of the evaluation route according to the cities where the vehicle is used and the typical routes of each of the cities where the vehicle is used comprises: determining the cities where the vehicle is used according to the new energy vehicle ownership of each city, the temperature zone to which each city belongs, the geographical region to which each city belongs and the grade of each city; determining the evaluation route according to the typical road scene of the cities where the vehicle is used, the traffic flow of each driving route, the congestion condition of each driving route and the use frequency of each driving route.

3. The method according to claim 1, wherein, The months comprise July, January and April; the weather conditions comprise sunny day, rainy day and snowy day; the road conditions comprise plain and hilly; and the vehicle use time periods comprise 7:00-9:00, 9:00-12:00, 13:00-16:00, 16:00-18:00 and 23:00-06:

00.

4. The method of claim 1, wherein, The determination of the average comprehensive energy consumption according to the evaluation energy consumption comprises: determining a first data set and a second data set according to the evaluation energy consumption; wherein the first data set is a data set formed by dividing the evaluation energy consumption according to months, and the second data set is a data set formed by dividing the evaluation 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; determining the average comprehensive energy consumption according to the first comprehensive energy consumption and the second comprehensive energy consumption.

5. The method of claim 1, wherein, The determination of the vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption comprises: if the nominal energy consumption dispersion coefficient is less than a numerical value A and the average comprehensive energy consumption is less than a numerical value I, determining that the vehicle energy consumption level is excellent; if the nominal energy consumption dispersion coefficient is greater than a numerical value B or the average comprehensive energy consumption is greater than a numerical value II, determining that the vehicle energy consumption level is poor; wherein B>A and II>I; in other cases, determining that the vehicle energy consumption level is good.

6. A new energy vehicle actual road energy consumption virtual evaluation device, characterized in that, The method comprises the following steps: An evaluation route construction module is configured to construct an evaluation route according to cities where vehicles are used and typical routes of each of the cities where the vehicles are used; An actual road working condition library generation module is configured to generate an actual road working condition library according to the evaluation route, a month, a weather condition, a road condition, and a vehicle use time period; A test data acquisition module is configured to acquire test data of the vehicles under each working condition, the test data being obtained by simulation test of a vehicle model or test of an actual vehicle based on the actual road working condition library; An evaluation energy consumption determination module is configured to determine evaluation energy consumption according to the test data, including: calculating a corrected sliding resistance according to the test data; and 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 vehicle speed, environmental temperature, environmental pressure, an angle between a vehicle travel direction and a wind direction, and a first correction factor in the test data; the first correction factor is used to represent influences of the weather condition and the road condition on the sliding resistance; A nominal energy consumption dispersion coefficient determination module is configured to determine a nominal energy consumption dispersion coefficient according to the evaluation energy consumption and a nominal energy consumption; An average comprehensive energy consumption determination module is configured to determine an average comprehensive energy consumption according to the evaluation energy consumption; A vehicle energy consumption level determination module is configured to determine a vehicle energy consumption level according to the nominal energy consumption dispersion coefficient and the average comprehensive energy consumption.

7. An electronic device, comprising: Comprise: At least one processor, and a memory connected in communication with the at least one processor; Wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-5.

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 perform the method of any one of claims 1-5.

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