CN117808364A - New energy automobile carbon emission data processing method, system, equipment and medium - Google Patents
New energy automobile carbon emission data processing method, system, equipment and medium Download PDFInfo
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Abstract
The application provides a new energy automobile carbon emission data processing method, a system, equipment and a medium, which are applied to the technical fields of new energy automobiles and carbon emission reduction, wherein the carbon emission data processing method comprises the following steps: firstly, working condition data of a new energy automobile are acquired, so that the working condition data affecting the carbon emission is incorporated into the calculation of the carbon emission; then, respectively calculating a first carbon emission corresponding to the new energy automobile based on the obtained various working condition data, and calculating a second carbon emission corresponding to the new energy automobile and of the same fuel automobile, wherein the first carbon emission is counted in the power source influence condition, and the second carbon emission is counted in the driving mileage, the fuel automobile carbon emission factor, the fuel consumption coefficient and the speed correction coefficient; finally, the final carbon emission reduction amount of the new energy automobile is reevaluated according to the first carbon emission amount and the second carbon emission amount.
Description
Technical Field
The application relates to the technical fields of new energy automobiles and carbon emission reduction, in particular to a new energy automobile carbon emission data processing method, a system, equipment and a medium.
Background
With the increasing global climate change, the reduction of carbon emissions has become a common goal for all countries. New energy automobiles, particularly electric automobiles, are considered as an effective means for reducing carbon emissions in the field of transportation as a substitute for conventional fuel vehicles. However, how to accurately calculate the carbon emission reduction of new energy automobiles has been the focus of attention in the industry and academia. Most of the existing carbon emission reduction calculation methods evaluate the emission reduction condition of the new energy automobile based on a theoretical model or a simplified assumption, so that the evaluation result has larger deviation from the actual emission reduction effect.
Disclosure of Invention
In view of this, the embodiments of the present disclosure provide a method, a system, a device, and a medium for processing carbon emission data of a new energy automobile, which can accurately obtain the carbon emission result of the new energy automobile by fully considering some variables of the new energy automobile in actual use, such as vehicle quality, driving speed, power source, etc.
The embodiment of the specification provides the following technical scheme:
the embodiment of the specification provides a new energy automobile carbon emission data processing method, which comprises the following steps:
acquiring working condition data of a new energy automobile, wherein the working condition data comprise vehicle quality, seat number, running speed, running mileage, electric quantity consumption, electric power source and running time;
Respectively calculating based on the working condition data: a first carbon emission amount corresponding to a new energy automobile and a second carbon emission amount corresponding to an equivalent fuel automobile of the new energy automobile, wherein the first carbon emission amount is marked as NE, when an electric power source is green electric energy, ne=0, and when the electric power source is thermal power, ne=an electric power emission factor×electric power consumption; the second carbon emission is marked as FE, FE=S×K×T×I, S is the driving mileage, K is the carbon emission factor of the fuel vehicle obtained according to the greenhouse gas quality evaluation of the fuel vehicle emission when each liter of the fuel oil is completely combusted, T is the fuel consumption coefficient obtained according to the vehicle quality, the seat number and the basic consumption of the fuel vehicle, and I is the speed correction coefficient obtained according to the driving speed, the driving mileage and the driving time;
and estimating the final carbon emission reduction capacity of the new energy automobile according to the first carbon emission amount and the second carbon emission amount.
Preferably, the fuel consumption coefficient T is calculated as follows: t=gxa-a×10 3 +0.1 xz+j, where G is the vehicle mass; a is a preset influence coefficient for reflecting the influence condition of the weight of the vehicle body on fuel consumption; z is the number of seats; j is the fuel basic consumption corresponding to the fuel vehicle obtained according to the observed quantity of fuel consumed by the weight of 1 ton of vehicle body.
Preferably, the influence coefficient a takes a value of 0.0018; and/or, the fuel base consumption J takes a value of 3.52L.
Preferably, the velocity correction factor I is calculated as follows: i=v 2 ×10 -4 -0.016 x v+1.6400, where v is the average driving speed.
Preferably, the average travel speed is an average speed obtained from the travel distance and the corresponding travel time, or an average speed obtained from a plurality of travel speeds and the corresponding plurality of travel times.
Preferably, the new energy automobile carbon emission data processing method further comprises the following steps: the final carbon reduction output is presented to the user in graphical or digital form.
Preferably, acquiring the working condition data of the new energy automobile includes: and acquiring real-time working condition data of the new energy automobile from the Internet of vehicles data center accessed by the new energy automobile.
The embodiment of the specification also provides a new energy automobile carbon emission data processing system, which comprises:
and a data acquisition module: acquiring working condition data of a new energy automobile, wherein the working condition data comprise vehicle quality, seat number, running speed, running mileage, electric quantity consumption, electric power source and running time;
and the carbon emission calculation module is used for: respectively calculating based on the working condition data: a first carbon emission amount corresponding to a new energy automobile and a second carbon emission amount corresponding to an equivalent fuel automobile of the new energy automobile, wherein the first carbon emission amount is marked as NE, when an electric power source is green electric energy, ne=0, and when the electric power source is thermal power, ne=an electric power emission factor×electric power consumption; the second carbon emission is marked as FE, FE=S×K×T×I, S is the driving mileage, K is the carbon emission factor of the fuel vehicle obtained according to the greenhouse gas quality evaluation of the fuel vehicle emission when each liter of the fuel oil is completely combusted, T is the fuel consumption coefficient obtained according to the vehicle quality, the seat number and the basic consumption of the fuel vehicle, and I is the speed correction coefficient obtained according to the driving speed, the driving mileage and the driving time;
Carbon emission evaluation module: and estimating the final carbon emission of the new energy automobile according to the first carbon emission and the second carbon emission.
The embodiment of the specification also provides an electronic device for processing the carbon emission data of the new energy automobile, which comprises: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform: the new energy automobile carbon emission data processing method according to any one of the application.
The embodiments of the present specification also provide a computer storage medium for carbon emission data processing of a new energy automobile, the computer storage medium storing computer-executable instructions that, when executed by a processor, perform: the new energy automobile carbon emission data processing method according to any one of the application.
Compared with the prior art, the beneficial effects that above-mentioned at least one technical scheme that this description embodiment adopted can reach include at least:
the invention aims to provide a comprehensive and accurate new energy automobile carbon emission reduction data processing scheme, which ensures objectivity, reference value and the like of a calculation result by comprehensively considering various influencing factors of the new energy automobile in actual use and can evaluate the carbon emission reduction effect of the new energy automobile in actual use more accurately. In the calculation of the carbon emission, not only the characteristics (such as mass, seat number and the like) of the vehicle are considered, but also dynamic factors (such as running speed, electric quantity consumption and the like) in the running process are also included, and various factors which influence the carbon emission by the electric power source and the like can influence the carbon emission, so that the obtained carbon emission reduction data has more scientificalness and rationality, and the carbon emission result can provide more reliable data basis for policy making, enterprise decision making, personal selection and the like. Meanwhile, the carbon emission reduction result of the new energy automobile is accurately obtained, so that the healthy development of the new energy automobile industry is promoted.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic structural diagram of a new energy automobile carbon emission data processing scheme in the application;
FIG. 2 is a flow chart of a new energy automobile carbon emission data processing method;
FIG. 3 is a schematic diagram of the structure of the fuel gas carbon emission calculation in the present application;
FIG. 4 is a schematic diagram of a new energy automobile carbon emission data processing system;
fig. 5 is a schematic structural diagram of an electronic device for processing carbon emission data of a new energy automobile in the present application.
Detailed Description
Embodiments of the present application are described in detail below with reference to the accompanying drawings.
Other advantages and effects of the present application will become apparent to those skilled in the art from the present disclosure, when the following description of the embodiments is taken in conjunction with the accompanying drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. The present application may be embodied or carried out in other specific embodiments, and the details of the present application may be modified or changed from various points of view and applications without departing from the spirit of the present application. It should be noted that the following embodiments and features in the embodiments may be combined with each other without conflict. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
It is noted that various aspects of the embodiments are described below within the scope of the following claims. It should be apparent that the aspects described herein may be embodied in a wide variety of forms and that any specific structure and/or function described herein is merely illustrative. Based on the present application, one skilled in the art will appreciate that one aspect described herein may be implemented independently of any other aspect, and that two or more of these aspects may be combined in various ways. For example, apparatus may be implemented and/or methods practiced using any number and aspects set forth herein. In addition, such apparatus may be implemented and/or such methods practiced using other structure and/or functionality in addition to one or more of the aspects set forth herein.
It should also be noted that the illustrations provided in the following embodiments merely illustrate the basic concepts of the application by way of illustration, and only the components related to the application are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complicated.
In addition, in the following description, specific details are provided in order to provide a thorough understanding of the examples. However, it will be understood by those skilled in the art that the present invention may be practiced without these specific details.
In the field of new energy automobile carbon emission reduction data processing, the existing scheme mainly comprises the following steps:
1. the data processing and calculating method based on the theoretical model comprises the following steps: this method is generally based on a simplified theoretical model, and calculates the carbon emission reduction by inputting some basic parameters (such as vehicle mass, mileage, etc.). However, the method often ignores various variables in actual use, such as driving speed, power source and the like, so that a calculation result has larger deviation from an actual emission reduction effect;
2. the data processing calculation method based on the simplifying assumption comprises the following steps: this approach typically uses some simplified assumption, such as assuming that all new energy vehicles use the same source of electricity, or assuming that all vehicles travel at the same speed. These simplifying assumptions ignore the variability in actual use, resulting in limited accuracy and practicality of the calculation results;
3. the data processing calculation method based on the single factor comprises the following steps: this approach typically only considers a single factor (e.g., mileage or electricity consumption) to calculate carbon emissions, ignoring the effects of other important factors. Therefore, the method cannot comprehensively evaluate the carbon emission reduction effect of the new energy automobile;
4. Some simple computational tools/software based on the simplified theoretical model or hypothetical conditions described above: there are some calculation tools/software on the market today for calculating the carbon emission reduction of new energy vehicles. However, these tools/software are generally based on the simplified theoretical model or the assumed conditions, and thus there is also a problem that the calculation result is greatly deviated from the actual emission reduction effect.
In summary, the existing new energy automobile carbon emission data processing schemes have various limitations, and cannot evaluate the relatively accurate carbon emission reduction effect of the new energy automobile, so that objectivity, reference price and the like of the evaluation result are not high, and the actual requirements of the new energy automobile industry on the carbon emission reduction evaluation of the new energy automobile cannot be met.
Based on this, by further analyzing the new energy automobile and its industry regulations, it was found that:
on the one hand, the new energy automobile industry generally requires that the new energy automobile be registered to the internet of vehicles platform after leaving the factory, so that the internet of vehicles platform can obtain various data of the new energy automobile in real time, such as mileage, speed, time, vehicle condition (such as vehicle weight, specification, seat number, etc.), electric quantity charging source, electric quantity, etc.
Therefore, if the large data can be fully utilized, the carbon emission of the new energy automobile can be accurately determined, so that the accuracy of the evaluation result of the carbon emission of the new energy automobile is improved, and the evaluation result has good objectivity, reference value and the like.
In both aspects, fuel vehicles have evolved over the years, and their own carbon emission base data also has correspondingly large data. However, because the working conditions of the fuel vehicle and the new energy vehicle are different, the original carbon emission data needs to be recalibrated again based on the big data of the new energy vehicle and the big data of the carbon emission of the fuel vehicle, so that a more accurate emission result is obtained.
Specifically, the carbon emission of the same fuel oil vehicle can be reevaluated by utilizing the real-time working condition data given by the new energy vehicle, namely, the carbon emission of the fuel oil vehicle is obtained by combining the real-time big data of the new energy vehicle with the carbon emission basic big data of the fuel oil vehicle.
Therefore, if the carbon emission of the new energy automobile under the actual working condition and the carbon emission of the same fuel automobile of the new energy automobile can be obtained according to the two aspects, the two emission amounts can more truly and accurately reflect the carbon emission reduction effect brought by the use of the new energy automobile.
In summary, the embodiment of the specification provides a new energy automobile carbon emission data processing scheme: as shown in fig. 1, under the condition of big data of a new energy automobile, the first carbon emission of the new energy automobile and the second carbon emission of the new energy automobile corresponding to the same fuel oil automobile are respectively obtained under various influencing factors, and because the two emissions are closely related to the use condition of the new energy automobile, the first carbon emission and the second carbon emission can accurately reflect the carbon emission condition corresponding to the use of the new energy automobile, so that the equivalent carbon emission reduction capacity of the new energy automobile can be relatively truly and accurately reevaluated by utilizing the two carbon emissions.
Wherein, the plurality of influencing factors can comprise the following working condition data: vehicle mass, mileage, equivalent fuel consumption conditions, speed correction conditions, power source conditions of new energy automobiles, etc., which can generally affect the carbon emission of the same fuel vehicle and the carbon emission calculation results of the new energy automobiles.
The method aims at overcoming the defects of the prior art/products by comprehensively, accurately and comprehensively considering various influencing element data in the actual use of the new energy automobile, so as to ensure that the evaluation and calculation result of carbon emission reduction has better objectivity, reference value and the like, thereby providing a good and reliable data basis for the application of the new energy automobile, such as policy making, enterprise decision making, personal selection and the like.
For example, the new energy automobile industry policy establishment mechanism can obtain the emission reduction result through the scheme provided by the invention, and provide scientific basis for establishment of the new energy automobile industry policy according to the emission reduction result. For example, government institutions can obtain accurate emission reduction data according to the scheme provided by the invention, so that relevant policies are formulated and adjusted to promote popularization and application of new energy automobiles.
In addition, each government organization can also utilize the scheme provided by the invention to purposefully formulate vehicle purchasing subsidy, restricted-line restricted-purchasing policies or infrastructure construction plans and the like after obtaining the carbon emission reduction data of the new energy vehicles according to the regional characteristics of the government organization, so that the implementation of the policies can further encourage individuals and enterprises to use the new energy vehicles and promote the development of low-carbon traffic. And the scheme of the invention can be used for reasonably calculating the fact data of new energy vehicles for reducing energy and emission, so that the method and the device are prepared for carbon neutralization.
For example, the new energy automobile enterprises can obtain the emission reduction result through the scheme provided by the invention, and further support enterprise decision and market competition by utilizing the result. For example, enterprises can evaluate the performances of different types of new energy automobiles in terms of carbon emission reduction by means of the calculation method, so that business decisions such as the development direction of the new energy automobiles, the technological landing and the like are made more intelligently.
In addition, the new energy automobile manufacturing enterprises can optimize the self product design, improve the production process or formulate the market pricing strategy and the like according to the carbon emission reduction data, so that the market competitiveness of the self new energy automobile can be improved, and more market shares are obtained for the enterprises.
For example, the scheme provided by the invention can be used by consumers of the new energy automobiles to determine the carbon emission reduction condition of the selected new energy automobiles, so that a reference basis is provided for purchasing the new energy automobiles. For example, a consumer can know the carbon emission reduction effect of new energy automobiles with different brands and models according to the calculation method of the invention, so that a more environment-friendly choice is made when purchasing the new energy automobiles. And the new energy vehicles can participate in carbon neutralization activities in the road traffic field in the future, thereby enjoying the benefit brought by carbon benefits.
In addition, when a consumer purchases the vehicle, the vehicle type with better performance in energy efficiency and environmental protection performance can be selected by comparing carbon emission reduction data of different vehicle types, so that the environmental protection consciousness of individual users can be improved, and the popularization of low-carbon traffic is promoted.
The main execution body of the steps of the method of the present application may be a computer, a mobile intelligent terminal, a server, a data center, a cloud platform, or the like, or may be vehicle-mounted devices (such as a central control) in a new energy automobile, or even a system formed by these devices, which is not limited herein.
The following describes the technical solutions provided by the embodiments of the present application with reference to the accompanying drawings.
As shown in fig. 2, the embodiment of the present disclosure provides a method for processing carbon emission data of a new energy automobile, which may include:
step S202, working condition data of the new energy automobile are obtained.
In implementation, working condition data with the degree of association with carbon emission greater than a certain degree can be obtained, for example, when a new energy automobile needs to consume energy under a certain working condition and the generated carbon emission exceeds a preset threshold, the working condition can participate in subsequent carbon emission calculation, so that the plurality of working condition data which are useful and as comprehensive as possible are utilized to calculate the relatively real and accurate carbon emission of the new energy automobile and the carbon emission of the corresponding equivalent fuel automobile of the new energy automobile.
The operating condition data may include the following data: vehicle mass, number of seats, travel speed, travel mileage, electricity consumption, power source, travel time.
It should be noted that, the above working condition data may be adjusted according to the consumption and carbon emission of the new energy automobile, and an exemplary scheme is given herein, and other useful working condition items not belonging to the above calculation items are not listed one by one.
For example, if the new energy vehicle also collects the weight of the passenger on each seat, the weight of the passenger may be further counted into the carbon emission calculation, specifically, the vehicle mass may be incorporated, or the number of seats calculation item (such as the specific gravity according to the weight increase seat number) may be incorporated, or the calculation item may be a single row calculation item, specifically, without limitation.
Step S204, respectively calculating based on the working condition data: and the first carbon emission amount corresponds to the new energy automobile, and the second carbon emission amount corresponds to the fuel oil automobile equivalent to the new energy automobile.
After the working condition data related to carbon emission are obtained, the working condition data can be used for calculating the carbon emission of the new energy automobile and the carbon emission of the same fuel oil automobile. The equivalent fuel oil vehicle refers to a virtual or real fuel oil vehicle closely related to the weight, the seat number and the like of a new energy automobile. For example, the new energy automobile is a new energy automobile replacing automobile of a certain type of fuel automobile, and the same fuel automobile can be an original fuel automobile replaced by the same fuel automobile; for example, the new energy automobile is a newly designed automobile, and at this time, some closest fuel automobiles can be searched from the existing fuel automobiles to be used as the same fuel automobiles, or a virtual comprehensive automobile obtained by a plurality of existing fuel automobiles in an equivalent way aiming at various aspects of the new energy automobile is used as the same fuel automobiles.
In practice, the first carbon emission amount may be noted as NE, so that the value of the first carbon emission amount NE is determined according to different conditions.
For example, when the operating mode data of the new energy automobile indicates that the current power source is the power charged by using green power, ne=0 may be set because green power does not directly generate the corresponding carbon emission.
For example, when the electric power source is thermal power, since thermal power directly generates carbon emissions in power generation, this effect needs to be taken into consideration in calculation of the carbon emissions of the new energy automobile, so it is possible to set: ne=power emission factor×power consumption. The electric power emission factor is used for representing the carbon emission condition corresponding to the unit thermal power.
In practice, the power emission factor may be related to factors such as different thermal power generation modes (such as coal, gasoline, etc.), power generation quality, and electric energy internet surfing efficiency, so that a specific power emission factor may be calibrated according to the thermal power source used for calculation.
In some examples, the power emission factor that may be used takes a value of 0.42kg CO 2 By using a relatively compromise power emission factor, some parameter settings and calculation work can be simplified, so that data processing efficiency is improved while ensuring that the data has a certain degree of accuracy.
In the implementation, the second carbon emission amount can be marked as FE, wherein the second carbon emission amount FE of the fuel gas is the carbon emission amount obtained by rewriting and correcting the working condition data big data of the comprehensive new energy automobile and the fuel carbon emission basic big data of the fuel automobile.
Therefore, the second carbon emission amount may be set to: fe=s×k×t×i, and referring to fig. 3, the accuracy of the carbon emission data of the equivalent fuel gas can be improved by reflecting the operating conditions of the new energy vehicle to the calculation of the carbon emission of the fuel vehicle.
For parameter S in the calculation formula: s is set as a driving mileage, the unit is kilometers (km), and the data can be accurately obtained from the working condition big data of the new energy automobile. Therefore, the carbon emission amount of the corresponding fuel vehicle can be determined according to different driving ranges, and even the carbon emission amount under different driving ranges can be calculated by utilizing the calculation formula, so that the accuracy of the second carbon emission amount is improved through the carbon emission amount results of a plurality of driving ranges with association relation.
For example, in a longer travel section where there are a plurality of jams, the section may be divided into a plurality of mileage sections, so that more accurate carbon emission amounts corresponding to mileage at different speeds may be obtained.
For example, the carbon emissions of successive mileage segments may be smoothed to improve the accuracy of the second carbon emissions, wherein the smoothing may be averaging or otherwise, without limitation.
For parameter K in the calculation formula: and setting K as a carbon emission factor of the fuel oil vehicle, wherein the carbon emission factor of the fuel oil vehicle is obtained according to the quality evaluation of greenhouse gases emitted by the fuel oil vehicle when each liter of gasoline is completely combusted, and the carbon emission factor of the fuel oil vehicle can take the value of the quality of the greenhouse gases emitted when each liter of gasoline is completely combusted.
In practice, the carbon emission factor of the fuel vehicle may be determined according to basic big data of the fuel vehicle, for example, the value of the parameter K may be a basic year parameter condition calculated based on related data such as 2018 annual transportation trip, industry energy consumption and the like published in 2019, for example, the value of 2.37kgCO 2 and/L, so as to simplify the calculation process according to uniform values. Of course, if the carbon emission factor of the fuel vehicle has a specific value, the carbon emission factor may also be calculated according to the specific value.
For parameter T in the calculation formula: t is set as a fuel consumption coefficient in liters per kilometer (L/km). The fuel consumption coefficient is re-estimated according to the working condition data related to the fuel consumption comparison of the fuel vehicle, such as the vehicle mass, the seat number, the fuel vehicle basic consumption and the like.
The vehicle quality, the seat number and the basic consumption of the fuel oil vehicle are reflected in the fuel oil consumption coefficient, so that the actual working condition of the new energy vehicle is well reflected in the calculation scheme in combination with the basic big data of the fuel oil vehicle, and the accuracy of the second carbon emission is improved.
The specific gravity of the fuel consumption coefficient of the vehicle mass, the number of seats, the basic consumption of the fuel vehicle, etc. may be set according to industry experience, or may be determined and adjusted again after the application of big data. The following application will provide a more accurate preferred arrangement, not shown here.
For parameter I in the calculation formula: i is set as a velocity correction factor in kilometers per hour (km/h). The speed correction coefficient can be a new speed result obtained by correcting and evaluating the speed in the driving mileage S according to the driving speed, the driving mileage and the driving time, so that the corrected speed can more truly reflect the speed condition corresponding to the carbon emission.
It should be noted that, the speed correction may use the driving mileage and the driving time in the working condition big data to calibrate the speed condition in the driving mileage again, for example, the average speed in the traditional sense may be used as the speed correction result, or the correction coefficient may be set in other manners according to industry experience, or even the calculation formula of the correction coefficient is redetermined after the big data is applied. The following application will provide a more accurate preferred arrangement, not shown here.
And S206, estimating the final carbon emission reduction capacity of the new energy automobile according to the first carbon emission amount and the second carbon emission amount.
After the relatively accurate first carbon emission and the second carbon emission are obtained, the carbon emission reduction amount of the new energy automobile can be reevaluated by utilizing the two emission amounts, so that a relatively accurate carbon emission reduction evaluation result is obtained, the result is more objective and has a reference value.
In implementation, the evaluation of the carbon emission reduction result is performed by using the first carbon emission amount and the second carbon emission amount, which may be a difference between the two carbon emission amounts as the carbon emission reduction evaluation result, or the two carbon emission amounts participate in the evaluation process with respective corresponding preset specific gravities, or may be an evaluation manner in which the specific gravities are reset and adjusted in other manners according to industry experience, which is not particularly limited herein.
In summary, the working condition big data of the new energy automobile and the basic big data of the same fuel automobile are combined, and the carbon emission of each new energy automobile and the carbon emission of the same fuel automobile are obtained through multidimensional data processing, so that the two carbon emission are more consistent with the carbon emission condition of the new energy automobile when the new energy automobile is put into use, and the obtained carbon emission reduction evaluation result has objectivity and reference value, so that various industries can develop industrial application by utilizing the carbon emission reduction evaluation result, such as industrial policy formulation, vehicle enterprise development direction decision, reference basis of purchasing the new energy automobile by individual consumers and the like.
In some embodiments, when the carbon emission of the fuel vehicle is obtained, the fuel consumption coefficient T can be reflected in the overall calculation, so that the fuel carbon emission condition of the new energy vehicle corresponding to the equivalent fuel vehicle can be reflected more truly and accurately. A new preferred solution for calculating the fuel consumption coefficient is given below, so that the fuel consumption coefficient better reflects the carbon emission of the fuel vehicle.
In practice, the fuel consumption coefficient T may be calculated as follows: t=gxa-a×10 3 +0.1×Z+J。
Wherein G is the mass of the vehicle in kilograms (kg); a is a preset influence coefficient for reflecting the influence condition of the weight of the vehicle body on fuel consumption, such as the fuel amount consumed by driving per kilometer per kilogram of the weight of the vehicle body; z is the number of seats, and as the number of seats can correspond to the weight of the vehicle body, for example, the mass of a 5-seat vehicle is generally less than 7 vehicles, and the number of seats for which the 5-seat vehicle is usually less than 7 vehicles, the number of seats which can affect energy consumption and bring carbon emission can be added into a fuel consumption coefficient, so that the calculation accuracy is improved; j is the fuel basic consumption corresponding to the fuel vehicle obtained according to the observed quantity of fuel consumed by the weight of 1 ton of vehicle body.
It should be noted that, the data of the preset value type may be obtained according to basic big data of the fuel vehicle, for example, the J may take a value of 3.52L, or even take another value according to industry experience or determined after big data is applied.
Therefore, the preferable value of the influence coefficient a can be taken as 0.0018 according to the application situation of the existing new energy automobile; and/or the fuel base consumption J is preferably taken as 3.52.
By using the influence coefficient a of the preset data, the fuel base consumption J and the like, the whole calculation process can be simplified on the basis of ensuring certain accuracy of the data. In addition, the preset data can be reset, fine-tuned and the like in later application according to practical application experience, so that the carbon emission data corresponding to practical new energy automobiles can be better improved.
In some embodiments, when the carbon emission of the fuel vehicle is obtained, the speed correction condition can be reflected in the overall calculation, that is, the speed condition with more obvious influence of the carbon emission is reflected in the carbon emission calculation of the fuel vehicle by adopting the speed correction coefficient I, so that the influence condition of the running speed condition of the new energy vehicle corresponding to the fuel carbon emission result of the same fuel vehicle can be reflected more truly and accurately. A new speed correction factor calculation preferred scheme is presented below, so that the speed conditions in the operating conditions are better reflected by the carbon emissions of the fuel vehicle.
In practice, the velocity correction factor I may be calculated as follows: i=v 2 ×10 -4 -0.016 x v+1.6400, where v is the average driving speed.
The above example is to use a quadratic function of the average running speed to obtain the speed correction coefficient I so that the average running speed in each running mileage is corrected as a result, and the calculation result is closer to the real case when the carbon emission amount of each running mileage is calculated.
It should be noted that, as described above, the velocity correction coefficient I may be another functional form, may be a functional form determined empirically according to industry experience and/or big data application, or may even be a form determined in other manners.
In implementation, the average driving speed v may be obtained by performing data processing on working condition big data of the new energy automobile, for example, using the average speed in the driving range as v value, or may be a total average speed obtained under a plurality of speed segments in the driving range, or even an average speed obtained by other modes. A preferred scheme is given below: for a range in which traveling is relatively smooth, the average traveling speed may be a total average speed directly obtained from the traveling range and the corresponding traveling time, or for a case in which traveling is less smooth, the average traveling speed may be an average speed indirectly obtained from a plurality of traveling speeds and the corresponding plurality of traveling times.
Therefore, the speed correction can be more specifically carried out according to the actual working condition speed condition of the new energy automobile, so that the correction result can reflect the carbon emission condition of the same fuel automobile.
In some embodiments, after the carbon emission reduction evaluation result of the new energy automobile is obtained, the calculated carbon emission reduction amount can be output in a chart or a digital form, so that the user can conveniently view and understand the calculated carbon emission reduction amount.
In practice, the user here may be a policy establishment, a new energy vehicle enterprise, a new energy vehicle consumer, etc. in the foregoing examples. And through outputting and displaying the final carbon emission reduction result of the new energy automobile, different users (such as policy making, enterprise decision making, individuals and the like) can conveniently select the new energy automobile according to the display result.
The display mode may be an in-vehicle device (such as a display) displayed on a new energy automobile, or may be output displayed on another carrier, which is not limited herein.
In some embodiments, the new energy automobile is registered to the internet of vehicles platform after leaving the factory, so that the working condition big data can be obtained from a third party internet of vehicles platform, namely, the real-time working condition data of the new energy automobile is obtained from an internet of vehicles data center accessed by the new energy automobile.
Generally, the internet of vehicles platform collects various driving data of new energy automobiles, including but not limited to: mileage, speed, acceleration, vehicle mass, battery level, etc. Therefore, it can be determined according to the application which data relate to the carbon emission reaching a certain threshold, and then the data can be used for subsequent carbon emission calculation, so as to improve the accuracy, objectivity, reference and the like of the carbon emission calculation.
In some embodiments, the internet of vehicles data center and the new energy automobile perform data communication based on mobile communication (such as 5G communication) so as to keep good real-time performance of data and ensure reliable data.
In addition, the data acquired through the Internet of vehicles platform has the following advantages:
1. compared with a data system provided by the vehicle, the third party internet of vehicles technology provided data has the following advantages:
(1) The data is more comprehensive and accurate: the third party internet of vehicles technology can be generally interconnected with the new energy automobile based on mobile communication, so that various data such as vehicle speed, driving mileage, start-stop time and the like in the driving process of the vehicle are acquired based on the mobile communication, and compared with a data system provided by the vehicle, the third party internet of vehicles data are more comprehensive and accurate;
(2) The real-time performance is strong: the third party Internet of vehicles can transmit vehicle data in real time through a wireless communication technology, so that more real-time data monitoring and analysis are provided;
(3) Unification standard: the third party Internet of vehicles is generally based on a unified technical standard, so that the phenomenon that the results of the data of each new energy vehicle are not uniform due to different calculation modes of the system is avoided, and meanwhile, the expansion and the upgrading are convenient;
(4) More flexible data analysis capabilities: the data provided by the third party Internet of vehicles card can be used for various data analysis, such as driving behavior analysis, fault early warning and the like, and more flexible data analysis capability is provided for vehicle management;
(5) The safety is higher: the third party internet of vehicles generally adopts stricter security measures and technologies, so that the security of data transmission and storage is ensured.
In conclusion, the availability, reliability and the like of the data can be ensured by utilizing the big data of the Internet of vehicles platform without additionally constructing a data center.
The following is a schematic illustration of three calculation examples.
Computing example one
A car owner drives 5 new energy vehicles, networking cards are preloaded when the vehicles leave the factory, and the driving mileage and the driving time of the user vehicles are collected; the number of seats of the vehicle and the quality of the whole vehicle can be obtained by using the frame number.
Assuming that the new energy vehicle travels 100 km in one day for 2 hours, the average speed is calculated to be 50 km/h. The mass of the whole car is known to be 1500 kg.
Assuming a user of the vehicle, if the same fuel vehicle is driven normally on the trip on the same day, the carbon emission amount of the fuel vehicle is calculated: according to the formula fe=s×k×t×i, where S is the driving range, K is the fuel carbon emission factor, T is the fuel consumption coefficient, I is the speed correction coefficient, and the values are as follows: s=100 km; k=2.37 kgCO 2 /L；T＝G×a-a×10 3 +0.1XZ+J, calculated as T5.22L/km; i=v 2 ×10 -4 -0.016 x v+1.6400, calculated as I1.09.
Thus, fe=100×2.37×5.22×1.09= 1348.48 kg.
In addition, the carbon emission of the new energy vehicle is calculated: it is assumed that the new energy vehicle uses green electric power, that is, the carbon emission amount NE is 0.
At this time, the carbon emission reduction amount of the new energy automobile is calculated as follows: using the formula er=fe-NE, where ER is the carbon emission reduction, er= 1348.48-0= 1348.48 kg.
Finally, the result of the carbon emission reduction can be output: the carbon emission reduction is output in a digital form, and the new energy automobile is shown to reduce 1348.48 kg of carbon emission relative to a fuel automobile in the same day.
Calculation example two
Suppose that a car owner drives 7 new energy vehicles to travel 2000 km in one month, and the average speed is 30 km/h. Other parameters and data acquisition are the same as in the first example of calculation.
The same calculation steps result in the following:
T＝G×a-a×10 3 +0.1XZ+J, calculated as T5.42L/km;
I＝v 2 ×10 -4 -0.016 x v+1.6400, calculated as I1.25;
finally, the carbon emission of the fuel oil vehicle of the same type is 32.11 tons, and the carbon emission of the new energy vehicle is 0 ton, so that the carbon emission reduction amount in the month is 32.11 tons.
Calculation example three
Assuming that a car owner drives 5 seats, the whole car weighs 1100 kg, and the new energy car runs 20000 km within one year, and the average speed is 70 km/h. Other parameters and data acquisition are the same as in the first example of calculation.
The same calculation steps result in the following:
T＝G×a-a×10 3 +0.1XZ+J, calculated to give T as 4.9L/km;
I＝v 2 ×10 -4 -0.016 x v+1.6400, calculated as I1.01;
finally, the carbon emission of the fuel oil vehicle of the same type is 234.5826 tons, and the carbon emission of the new energy vehicle is 0 tons, so that the carbon emission reduction of the vehicle in one year is 234.5826 tons.
It should be noted that, the calculation process of other examples may be completed with reference to the above examples and descriptions in the foregoing examples, which are not listed one by one.
In summary, the calculation method of the invention can be applied to new energy automobiles with different driving mileage and speeds to obtain accurate carbon emission reduction.
Based on the same inventive concept, the application also provides a new energy automobile carbon emission data processing system so as to complete the carbon emission reduction result evaluation of the new energy automobile based on the system.
Referring to fig. 4, a new energy automobile carbon emission data processing system may include:
the data acquisition module 401: acquiring working condition data of a new energy automobile, wherein the working condition data comprise vehicle quality, seat number, running speed, running mileage, electric quantity consumption, electric power source and running time;
carbon emission calculation module 403: respectively calculating based on the working condition data: a first carbon emission amount corresponding to a new energy automobile and a second carbon emission amount corresponding to an equivalent fuel automobile of the new energy automobile, wherein the first carbon emission amount is marked as NE, when an electric power source is green electric energy, ne=0, and when the electric power source is thermal power, ne=an electric power emission factor×electric power consumption; the second carbon emission is marked as FE, FE=S×K×T×I, S is the driving mileage, K is the carbon emission factor of the fuel vehicle obtained according to the greenhouse gas quality evaluation of the fuel vehicle emission when each liter of the fuel oil is completely combusted, T is the fuel consumption coefficient obtained according to the vehicle quality, the seat number and the basic consumption of the fuel vehicle, and I is the speed correction coefficient obtained according to the driving speed, the driving mileage and the driving time;
Carbon emission evaluation module 405: and estimating the final carbon emission of the new energy automobile according to the first carbon emission and the second carbon emission.
Accordingly, the system in the example may be a system such as a computer, a mobile intelligent terminal, a server, a data center, a cloud platform, or may be a vehicle-mounted device (such as a central control) in a new energy automobile, or even a system formed by the devices, which is not limited herein.
In a preferred example of the above system, the fuel consumption coefficient T is calculated as follows: t=gxa-a×10 3 +0.1 xz+j, where G is the vehicle mass; a is a preset influence coefficient for reflecting the influence condition of the weight of the vehicle body on fuel consumption; z is the number of seats; j is the fuel basic consumption corresponding to the fuel vehicle obtained according to the observed quantity of fuel consumed by the weight of 1 ton of vehicle body.
In a preferred example of the above system, the influence coefficient a takes a value of 0.0018; and/or, the fuel base consumption J takes a value of 3.52L.
In a preferred example of the above system, the velocity correction factor I is calculated as follows: i=v 2 ×10 -4 -0.016 x v+1.6400, where v is the average driving speed.
In a preferred example of the above system, the average running speed is an average speed obtained from the running mileage and the corresponding running time, or an average speed obtained from a plurality of running speeds and the corresponding plurality of running times.
In a preferred example of the above system, the final carbon reduction may also be presented to the user in graphical or digital form.
In a preferred example of the system, the real-time working condition data of the new energy automobile can be obtained from a data center of the internet of vehicles to which the new energy automobile is connected.
Based on the same inventive concept, the embodiments of the present specification provide an electronic device and a storage medium for new energy automobile carbon emission data processing.
As shown in fig. 5, the present application further provides a schematic structural diagram of an electronic device, where the electronic device 500 is shown in the structure of the electronic device 500, where the electronic device 500 is merely an example, and should not limit the functions and the application scope of the embodiments of the present invention.
Specifically, in the electronic device 500, it may include: at least one processor 510; the method comprises the steps of,
a memory 520 communicatively coupled to the at least one processor; wherein,
the memory storage 520 has instructions executable by the at least one processor 510, the instructions being executable by the at least one processor 510 to enable the at least one processor 510 to perform: the method for processing the carbon emission data of the new energy automobile is provided in any embodiment of the application.
It should be noted that the electronic device 500 may be represented in the form of a general purpose computing device, which may be a server device, for example.
In practice, components of electronic device 500 may include, but are not limited to: the at least one processor 510, the at least one memory 520, and a bus 530 connecting the various system components including the memory 520 and the processor 510, wherein the bus 530 may include a data bus, an address bus, and a control bus.
In implementation, memory 520 may include volatile memory, such as Random Access Memory (RAM) 5201 and/or cache memory 5202, and may further include Read Only Memory (ROM) 5203.
Memory 520 may also include a program tool 5205 having a set (at least one) of program modules 5204, such program modules 5204 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The processor 510 executes various functional applications and data processing by running computer programs stored in the memory 520.
The electronic device 500 may also communicate with one or more external devices 540 (e.g., keyboard, pointing device, etc.). Such communication may occur through an input/output (I/O) interface 550. Moreover, electronic device 500 may also communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the Internet via network adapter 560, and network adapter 560 communicates with other modules in electronic device 500 via bus 530. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 500, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID (disk array) systems, tape drives, data backup storage systems, and the like.
It should be noted that although several units/modules or sub-units/modules of an electronic device are mentioned in the above detailed description, such a division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more units/modules described above may be embodied in one unit/module according to embodiments of the present application. Conversely, the features and functions of one unit/module described above may be further divided into ones that are embodied by a plurality of units/modules.
Based on the same inventive concept, the present application also provides a computer storage medium, which when executed by a processor, performs the new energy vehicle carbon emission data processing method according to any one of the embodiments of the present application.
Note that the computer storage medium may include, but is not limited to: portable disk, hard disk, random access memory, read only memory, erasable programmable read only memory, optical storage device, magnetic storage device, or any suitable combination of the foregoing.
In a possible embodiment, the invention may also provide that the data processing is implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps of the method as described in any of the preceding embodiments, when said program product is run on said terminal device.
Wherein the program code for carrying out the invention may be written in any combination of one or more programming languages, which program code may execute entirely on the user device, partly on the user device, as a stand-alone software package, partly on the user device and partly on the remote device or entirely on the remote device.
In this specification, identical and similar parts of the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the description is relatively simple for the embodiments described later, and reference is made to the description of the foregoing embodiments for relevant points.
The foregoing is merely specific embodiments of the present application, but the scope of the present application is not limited thereto, and any changes or substitutions easily conceivable by those skilled in the art within the technical scope of the present application should be covered in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (10)
1. The new energy automobile carbon emission data processing method is characterized by comprising the following steps of:
Acquiring working condition data of a new energy automobile, wherein the working condition data comprise vehicle quality, seat number, running speed, running mileage, electric quantity consumption, electric power source and running time;
respectively calculating based on the working condition data: a first carbon emission amount corresponding to a new energy automobile and a second carbon emission amount corresponding to an equivalent fuel automobile of the new energy automobile, wherein the first carbon emission amount is marked as NE, when an electric power source is green electric energy, ne=0, and when the electric power source is thermal power, ne=an electric power emission factor×electric power consumption; the second carbon emission is marked as FE, FE=S×K×T×I, S is the driving mileage, K is the carbon emission factor of the fuel vehicle obtained according to the greenhouse gas quality evaluation of the fuel vehicle emission when each liter of the fuel oil is completely combusted, T is the fuel consumption coefficient obtained according to the vehicle quality, the seat number and the basic consumption of the fuel vehicle, and I is the speed correction coefficient obtained according to the driving speed, the driving mileage and the driving time;
and estimating the final carbon emission reduction capacity of the new energy automobile according to the first carbon emission amount and the second carbon emission amount.
2. The method for processing carbon emission data of a new energy automobile according to claim 1, wherein the fuel consumption coefficient T is calculated as follows: t=gxa-a×10 3 +0.1 xz+j, where G is the vehicle mass; a is a preset influence coefficient for reflecting the influence condition of the weight of the vehicle body on fuel consumption; z is the number of seats; j is the fuel basic consumption corresponding to the fuel vehicle obtained according to the observed quantity of fuel consumed by the weight of 1 ton of vehicle body.
3. The method for processing the carbon emission data of the new energy automobile according to claim 2, wherein the influence coefficient a takes a value of 0.0018; and/or, the fuel base consumption J takes a value of 3.52L.
4. The method for processing carbon emission data of a new energy automobile according to claim 1, wherein the velocity correction coefficient I is calculated according to the following formula: i=v 2 ×10 -4 -0.016 x v+1.6400, where v is the average driving speed.
5. The method for processing carbon emission data of a new energy automobile according to claim 4, wherein the average running speed is an average speed obtained from a running mileage and a corresponding running time, or an average speed obtained from a plurality of running speeds and a corresponding plurality of running times.
6. The new energy automobile carbon emission data processing method according to claim 1, characterized in that the new energy automobile carbon emission data processing method further comprises: the final carbon reduction output is presented to the user in graphical or digital form.
7. The method for processing carbon emission data of a new energy automobile according to any one of claims 1 to 6, wherein the step of acquiring the operating mode data of the new energy automobile comprises the steps of: and acquiring real-time working condition data of the new energy automobile from the Internet of vehicles data center accessed by the new energy automobile.
8. The utility model provides a new energy automobile carbon emission data processing system which characterized in that includes:
and a data acquisition module: acquiring working condition data of a new energy automobile, wherein the working condition data comprise vehicle quality, seat number, running speed, running mileage, electric quantity consumption, electric power source and running time;
and the carbon emission calculation module is used for: respectively calculating based on the working condition data: a first carbon emission amount corresponding to a new energy automobile and a second carbon emission amount corresponding to an equivalent fuel automobile of the new energy automobile, wherein the first carbon emission amount is marked as NE, when an electric power source is green electric energy, ne=0, and when the electric power source is thermal power, ne=an electric power emission factor×electric power consumption; the second carbon emission is marked as FE, FE=S×K×T×I, S is the driving mileage, K is the carbon emission factor of the fuel vehicle obtained according to the greenhouse gas quality evaluation of the fuel vehicle emission when each liter of the fuel oil is completely combusted, T is the fuel consumption coefficient obtained according to the vehicle quality, the seat number and the basic consumption of the fuel vehicle, and I is the speed correction coefficient obtained according to the driving speed, the driving mileage and the driving time;
Carbon emission evaluation module: and estimating the final carbon emission of the new energy automobile according to the first carbon emission and the second carbon emission.
9. An electronic device for processing carbon emission data of a new energy automobile, comprising:
at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform: the new energy automobile carbon emission data processing method according to any one of claims 1 to 7.
10. A computer storage medium for carbon emission data processing of a new energy vehicle, the computer storage medium storing computer-executable instructions that, when executed by a processor, perform: the new energy automobile carbon emission data processing method according to any one of claims 1 to 7.
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