Electric vehicle usage order carbon emission reduction calculation method, system and medium

Abstract

The present invention provides a method, system and medium for calculating carbon emission reductions for electric vehicle usage orders, including: step S1: an on-board terminal collects real-time data of the vehicle and uploads it to a background server, and stores it in a database; step S2: based on historical data of the same type of vehicle in the same area stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed; step S3: according to the order model, the area where the order is located, the actual mileage of the order and the carbon emission reduction per kilometer, the carbon emission reduction generated by the current order is calculated.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission reduction, and specifically, to a method, system and medium for calculating carbon emission reduction for electric vehicle usage orders, and more specifically, to a method and system capable of calculating in real time the carbon emission reduction for each completed order of a shared electric vehicle. Background Art

[0002] Due to the good environmental benefits of electric vehicles, electric vehicles have been strongly supported and developed by the country in recent years. With the development of electric vehicle technology, especially the rapid development of excellent performance batteries and excellent charging performance motors and their control systems, the development of electric vehicles has been significantly accelerated.

[0003] The existing technology for calculating the carbon emission reduction of electric vehicles is to estimate the carbon emissions of its benchmark fuel vehicle based on the charging amount of the electric vehicle in a certain period of time, and to subtract the carbon emissions produced by the amount of electricity charged by the electric vehicle (carbon emissions generated by thermal power generation) from the carbon emissions of the benchmark fuel vehicle. However, the actual mileage of the electric vehicle is not taken into account. Therefore, the calculation result of the carbon emission reduction during the driving process of the electric vehicle is inaccurate, and the carbon emission reduction cannot be informed to the user in real time after the user completes a car rental order, which is not conducive to promoting carbon benefits to the general public.

[0004] Patent document CN109948943A (application number: 201910235300.0) discloses a method for scheduling charging and discharging electric vehicles that takes into account the carbon quota of electric vehicles, including setting up a carbon quota mechanism for electric vehicles, and using the carbon emissions reduced by electric vehicles compared to traditional fuel vehicles during the driving process as the carbon quota obtained by the electric vehicle during that period; setting up a day-ahead scheduling mechanism for electric vehicle aggregators and wind power generators to cooperate in participating in the power market game, and using the carbon quota obtained from the emission reduction of electric vehicles to coordinate the deviation between the bid output and actual output of wind power generators. Summary of the invention

[0005] In view of the defects in the prior art, the purpose of the present invention is to provide a method, system and medium for calculating carbon emission reductions of electric vehicle usage orders.

[0006] A method for calculating carbon emission reductions for electric vehicle use orders provided by the present invention includes:

[0007] Step S1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database;

[0008] Step S2: Based on the historical data of the same type of vehicle in the same area stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed;

[0009] Step S3: Calculate the carbon emission reduction generated by the current order based on the order model, the region where the order is located, the actual mileage of the order, and the carbon emission reduction per kilometer.

[0010] Preferably, step S1 adopts: the vehicle terminal collects vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding battery percentage, and uploads the collected data to the background server and stores it in the database.

[0011] Preferably, the step S2 adopts:

[0012] In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ;

[0013] The mileage of vehicle n within the preset time is:

[0014] ΔLn=MaxLnt i -MinLnt i

[0015] The cumulative power consumption of vehicle n within the preset time is:

[0016] ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ;

[0017] Where E represents the battery energy of vehicle n in a fully charged state;

[0018] The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn

[0019] The average power consumption per kilometer of electric vehicles of type M in region A is:

[0020] In region A, the emission reduction per kilometer for the M model is:

[0021] Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; Eth Represents the carbon emission factor of electricity published by the power grid.

[0022] Preferably, the step S3 adopts:

[0023] C=L*Mev

[0024] Among them: C: carbon emission reduction generated by the current order; L: mileage of the current car order; Mev: carbon emission reduction per kilometer of this model in this area.

[0025] Preferably, the carbon emission reduction of the order is presented to the user through the APP, and the carbon emission reduction is converted into user equity points.

[0026] According to the present invention, a carbon emission reduction accounting system for electric vehicle usage orders is provided, comprising:

[0027] Module M1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database;

[0028] Module M2: Based on the historical data of the same type of vehicle in the same area stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed;

[0029] Module M3: Calculate the carbon emission reduction generated by the current order based on the order model, the order area, the actual mileage of the order, and the carbon emission reduction per kilometer.

[0030] Preferably, the module M1 adopts: the vehicle terminal collects the vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding battery percentage, and uploads the collected data to the background server and stores it in the database.

[0031] Preferably, the module M2 adopts:

[0032] In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ;

[0033] The mileage of vehicle n within the preset time is:

[0034] ΔLn=MaxLnt i -MinLnt i

[0035] The cumulative power consumption of vehicle n within the preset time is:

[0036] ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ;

[0037] Where E represents the battery energy of vehicle n in a fully charged state;

[0038] The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn

[0039] The average power consumption per kilometer of electric vehicles of type M in region A is:

[0040] In region A, the emission reduction per kilometer for the M model is:

[0041] Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; E th Represents the carbon emission factor of electricity published by the power grid.

[0042] Preferably, the module M3 adopts:

[0043] C=L*Mev

[0044] Among them: C: carbon emission reduction generated by the current order; L: mileage of the current car order; Mev: carbon emission reduction per kilometer of this model in this area.

[0045] Preferably, the carbon emission reduction of the order is presented to the user through the APP, and the carbon emission reduction is converted into user equity points.

[0046] According to a computer-readable storage medium storing a computer program provided by the present invention, the steps of the above-mentioned method are implemented when the computer program is executed by a processor.

[0047] Compared with the prior art, the present invention has the following beneficial effects:

[0048] 1. The present invention calculates the carbon emission reduction per kilometer of electric vehicles based on the historical data of the vehicles, and can be accurate to a certain model in a certain area. Compared with the existing technology, the calculation of the carbon emission reduction per kilometer of electric vehicles is more accurate.

[0049] 2. After the electric vehicle order is completed, the carbon emission reduction corresponding to the user's order can be calculated in real time. Compared with the existing technology, the calculation accuracy and real-time response of the user's travel carbon emission reduction can be improved.

[0050] 3. Vehicle data is constantly accumulated and updated, so the sample size of historical data used to calculate the carbon emission reduction factor of a vehicle model is constantly increasing, and the calculated carbon emission reduction factor of the vehicle model is more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0052] Figure 1 Flowchart of the carbon emission reduction accounting method for electric vehicle usage orders. DETAILED DESCRIPTION

[0053] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0054] Example 1

[0055] According to a method for calculating carbon emission reductions of electric vehicle usage orders provided by the present invention, Figure 1 As shown, including:

[0056] Step S1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database;

[0057] Step S2: Based on the historical data of the same type of vehicle in the same area for a preset time period (at least 1 year) stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed, and the calculation results are saved in a list form;

[0058] Step S3: Calculate the carbon emission reduction generated by the current order based on the order model, the order area, the actual mileage of the order, and the carbon emission reduction per kilometer, and send it to the APP.

[0059] Specifically, step S1 adopts: the vehicle terminal collects vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding battery percentage, and uploads the collected data to the background server and stores it in the database.

[0060] Specifically, the step S2 adopts:

[0061] In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ;

[0062] The mileage of vehicle n within the preset time is:

[0063] ΔLn=MaxLnt i -MinLnt i

[0064] The cumulative power consumption of vehicle n within the preset time is:

[0065] ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ;

[0066] Where E represents the battery energy of vehicle n in a fully charged state;

[0067] The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn

[0068] The average power consumption per kilometer of electric vehicles of type M in region A is:

[0069] In region A, the emission reduction per kilometer for the M model is:

[0070] Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; E th Represents the carbon emission factor of electricity published by the power grid.

[0071] Specifically, the step S3 adopts:

[0072] C=L*Mev

[0073] Among them: C: carbon emission reduction generated by the current order; L: mileage of the current car order; Mev: carbon emission reduction per kilometer of this model in this area.

[0074] Specifically, the carbon emission reduction of the order is presented to the user through the APP, and the carbon emission reduction is converted into user equity points.

[0075] According to the present invention, a carbon emission reduction accounting system for electric vehicle usage orders is provided, comprising:

[0076] Module M1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database;

[0077] Module M2: Based on the historical data of the same type of vehicle in the same area for a preset time period (at least 1 year) stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed, and the calculation results are saved in the form of a list;

[0078] Module M3: Calculate the carbon emission reduction generated by the current order based on the order model, order area, actual mileage and carbon emission reduction per kilometer, and send it to the APP.

[0079] Specifically, the module M1 adopts: the vehicle terminal collects vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding battery percentage, and uploads the collected data to the background server and stores it in the database.

[0080] Specifically, the module M2 adopts:

[0081] In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ;

[0082] The mileage of vehicle n within the preset time is:

[0083] ΔLn=MaxLnt i -MinLnt i

[0084] The cumulative power consumption of vehicle n within the preset time is:

[0085] ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ;

[0086] Where E represents the battery energy of vehicle n in a fully charged state;

[0087] The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn

[0088] The average power consumption per kilometer of electric vehicles of type M in region A is:

[0089] In region A, the emission reduction per kilometer for the M model is:

[0090] Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; E th Represents the carbon emission factor of electricity published by the power grid.

[0091] Specifically, the module M3 adopts:

[0092] C=L*Mev

[0093] Among them: C: carbon emission reduction generated by the current order; L: mileage of the current car order; Mev: carbon emission reduction per kilometer of this model in this area.

[0094] Specifically, the carbon emission reduction of the order is presented to the user through the APP, and the carbon emission reduction is converted into user equity points.

[0095] According to a computer-readable storage medium storing a computer program provided by the present invention, the steps of the above-mentioned method are implemented when the computer program is executed by a processor.

[0096] Example 2

[0097] Embodiment 2 is a preferred embodiment of Embodiment 1

[0098] The present invention provides a method and system for real-time calculation of carbon emission reduction after each order of shared electric vehicles. The system includes a vehicle-mounted terminal, a database, an order system, and a user APP, wherein the vehicle-mounted terminal is used to collect data such as the vehicle's mileage and the corresponding power percentage and store them in a background database.

[0099] Based on the historical data of a certain vehicle model stored in the database, the carbon emission reduction for every kilometer traveled by the electric vehicle model can be calculated, that is, the carbon emission reduction factor. After the factor is calculated, it is imported into the order system. The carbon emission reduction corresponding to the user's order after using the shared vehicle model can be calculated in real time and presented to the user on the APP.

[0100] The present invention solves the above problem by calculating the carbon emission reduction factor of the electric vehicle based on the accumulated historical mileage of the shared electric vehicle in a certain period of time and the percentage of electricity corresponding to the period, and then importing the carbon emission reduction factor into the backend order system. The carbon emission reduction number generated by the user after completing a car rental order can be calculated in real time and presented to the user in a timely manner, thereby improving the accuracy of carbon emission reduction accounting for shared electric vehicles and the user's carbon emission reduction awareness.

[0101] The on-board terminal of a shared electric vehicle collects vehicle status data (including at least vehicle model, frame number, time, cumulative mileage, and battery percentage) at a specific frequency. The sampling frequency when there is an order is higher than the sampling frequency when there is no order. The data is wirelessly uploaded to the background server and stored in the database.

[0102] The analysis module calls the historical data of N shared electric vehicles of the Ei5 model in Shanghai within one year (at least 1 year). For any n-th vehicle, its historical data includes t i The vehicle's cumulative mileage at the moment Lnt i , and the battery power percentage Xnt corresponding to that time point i .

[0103] The mileage of the nth car in one year is:

[0104] ΔLn=MaxLnt i -MinLnt i

[0105] The cumulative power consumption of the nth vehicle in 1 year:

[0106] ΔEn=∑(Xnt i -Xnt i+1 )*35kWh, provided that Xnt i >Xnt i+1 .

[0107] The actual power consumption per kilometer of the nth vehicle is: Pn = ΔEn / ΔLn

[0108] The average power consumption per kilometer of this electric vehicle model in Shanghai is:

[0109] Emission reduction per kilometer of Shanghai Ei5:

[0110]

[0111] in:

[0112] Mgas is the carbon emissions per kilometer of travel for the baseline vehicle (fuel vehicle).

[0113] Me is the carbon emissions per kilometer of the Ei5 electric vehicle

[0114] E th Carbon emission factors for electricity published for the power grid

[0115] According to the above method, the carbon emission reduction per kilometer of other vehicle models, that is, the carbon emission reduction factor, is calculated and a list is formed and stored in the server.

[0116] Users place an order through the APP to rent an electric car of a certain model in a certain city. After using the car, they complete the order by paying through the APP. The APP sends an instruction to the background to calculate the carbon emission reduction of the order.

[0117] The backend retrieves the corresponding carbon emission reduction factor based on the order model, city, and mileage, calculates the carbon emission reduction generated by the order, and sends it to the APP.

[0118] The APP presents the carbon emission reduction of the order to the user and converts it into user equity points.

[0119] Those skilled in the art know that, in addition to implementing the system, device and its various modules provided by the present invention in a purely computer-readable program code, it is entirely possible to implement the same program in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers and embedded microcontrollers by logically programming the method steps. Therefore, the system, device and its various modules provided by the present invention can be considered as a hardware component, and the modules included therein for implementing various programs can also be considered as structures within the hardware component; the modules for implementing various functions can also be considered as both software programs for implementing the method and structures within the hardware component.

[0120] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for calculating carbon emission reductions for electric vehicle use orders, characterized in that: include: Step S1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database; Step S2: Based on the historical data of the same type of vehicle in the same area stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed; Step S3: After each vehicle use order is completed, the carbon emission reduction generated by the current order is calculated based on the order model, the region where the order is located, the actual mileage of the order, and the carbon emission reduction per kilometer of the model; The step S2 adopts: In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ; The mileage of vehicle n within the preset time is: ΔLn=MaxLnt i -MinLnt i The cumulative power consumption of vehicle n within the preset time is: ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ; Where E represents the battery energy of vehicle n in a fully charged state; The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn The average power consumption per kilometer of electric vehicles of type M in region A is: In region A, the emission reduction per kilometer for the M model is: Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; E th Represents the carbon emission factor of electricity published by the power grid.

2. The method for calculating carbon emission reductions of electric vehicle usage orders according to claim 1, characterized in that: The step S1 adopts: the vehicle terminal collects the vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding power percentage, and uploads the collected data to the background server and stores it in the database.

3. The method for calculating carbon emission reductions of electric vehicle usage orders according to claim 1, characterized in that: The step S3 adopts: C=L*Mev Among them: C represents the carbon emission reduction generated by the current order; L represents the mileage of the current car order; Mev represents the carbon emission reduction per kilometer of this model in this area.

4. The method for calculating carbon emission reductions of electric vehicle usage orders according to claim 1, characterized in that: The carbon emission reduction of the order is presented to users through the APP, and the carbon emission reduction is converted into user equity points.

5. A carbon emission reduction accounting system for electric vehicle usage orders, characterized in that: include: Module M1: The vehicle terminal collects real-time data of the vehicle and uploads it to the backend server and stores it in the database; Module M2: Based on the historical data of the same type of vehicle in the same area stored in the database, the average carbon emission reduction per kilometer of the current vehicle model in the current area is calculated as the carbon emission reduction per kilometer of the current vehicle model in the current area, and the carbon emission reduction per kilometer of different vehicle models in different areas is formed; Module M3: After each vehicle use order is completed, the carbon emission reduction generated by the current order is calculated based on the order model, the order area, the actual mileage of the order, and the carbon emission reduction per kilometer of the model; The module M2 adopts: In region A, based on the historical data of N vehicles of M models, for any vehicle n, the historical data includes t i The cumulative mileage of vehicle n at this moment is Lnt i and t i The battery power percentage corresponding to the moment is Xnt i ; The mileage of vehicle n within the preset time is: ΔLn=MaxLnt i -MinLnt i The cumulative power consumption of vehicle n within the preset time is: ΔEn=∑(Xnt i -Xnt i+1 )*E,Xnt i >Xnt i+1 ; Where E represents the battery energy of vehicle n in a fully charged state; The actual power consumption per kilometer of vehicle n is: Pn = ΔEn / ΔLn The average power consumption per kilometer of electric vehicles of type M in region A is: In region A, the emission reduction per kilometer for the M model is: Among them, MaxLnt i Indicates the maximum cumulative mileage of vehicle n within the preset time, MinLnt i represents the minimum cumulative mileage of vehicle n within the preset time, Mgas represents the carbon emissions per kilometer of the baseline model; Me represents the carbon emissions of the production process corresponding to the electricity consumed per kilometer of the M model; E th Represents the carbon emission factor of electricity published by the power grid.

6. The electric vehicle usage order carbon emission reduction accounting system according to claim 5 is characterized in that: The module M1 adopts: the vehicle terminal collects the vehicle status data at a preset frequency, including: vehicle model, frame number, cumulative mileage at each time point and corresponding battery percentage, and uploads the collected data to the background server and stores it in the database.

7. The electric vehicle usage order carbon emission reduction accounting system according to claim 5 is characterized in that: The module M3 adopts: C=L*Mev Among them: C represents the carbon emission reduction generated by the current order; L represents the mileage of the current car order; Mev represents the carbon emission reduction per kilometer of this model in this area.

8. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 4 are implemented.

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