Carbon emissions calculation method and calculation system using vehicle data

Abstract

The present invention comprises the steps of: acquiring vehicle data such as travel time, travel distance, vehicle speed, mass air flow (MAF), fuel consumption, and fuel efficiency from an On Board Diagnostics (OBD)-II interface of a vehicle; and substituting the vehicle data into a predetermined mathematical formula so as to calculate carbon emissions of a vehicle and cumulative carbon emissions for a predetermined period, and objective of the present invention is to calculate the carbon emissions of the vehicle by using the vehicle data as an independent variable and using, as a dependent variable, the carbon emissions calculated in advance from the carbon weight corresponding to the MAF value by the chemical reaction formula, so as to model the correlation between the vehicle data and the pre-calculated carbon emissions and substitute the vehicle data into a predetermined mathematical formula.

Description

Carbon emissions calculation method and calculation system using vehicle data

[0001] The present invention relates to a method and system for calculating carbon emissions using vehicle data.

[0002] In particular, the present invention obtains vehicle data through the vehicle's OBD-II interface to calculate carbon emissions and allows the calculated carbon emissions information to be checked in real time, thereby encouraging more economical and safer driving habits.

[0003] The present invention also provides reward points to drivers who participate in reducing carbon emissions, and applies safe driving techniques such as preventing rapid acceleration, rapid deceleration, and sudden stops, and vehicle management such as consumables and abnormal signs, and ADS abnormal sign detection and alarm technology.

[0004] One of the major causes of environmental pollution and global warming is carbon dioxide emissions from automobiles and corporate factories. This is not a national issue, but a global one. The international community is focusing its research on various systems, devices, and methods to reduce carbon dioxide emissions from automobiles and factories, including carbon emissions caps and trading systems.

[0005] Recently, commercial vehicles such as commercial buses are being mandated to be equipped with digital vehicle operation recorders that measure and store real-time driving records obtained from various sensors on the vehicle, and are being mandated to install idling limiters to prevent unnecessary idling in order to reduce vehicle fuel consumption and exhaust gas emissions.

[0006] Typically, digital vehicle tachographs (VTRs) store and read real-time data such as speed, engine revolutions per minute (RPM), brake and accelerator pedal usage, location information, driving time, and sudden acceleration and braking events. This recorded vehicle tachograph is then transmitted to a control center via wired or wireless communication networks, such as the Internet or mobile networks, to monitor reckless driving, such as rapid acceleration / deceleration and speeding.

[0007] As mentioned above, new laws and regulations to prevent reckless driving and reduce carbon dioxide emissions are expected to result in the application of various devices to vehicles. However, when multiple devices with individual functions are added to a single vehicle, they are not easily interconnected and installation is inconvenient. Therefore, there is a growing need for technology that allows existing devices to perform multiple functions in a complex manner.

[0008] In addition, there is a need for a device that can efficiently reduce fuel consumption by complying with all systems and laws, monitor vehicle carbon dioxide emissions, calculate and measure them to minimize carbon dioxide emissions, and use them as basis for carbon emissions trading, and record real-time vehicle operation information.

[0009] Korean Patent Registration No. 10-1283356 relates to a vehicle operation recorder having a function of reducing vehicle carbon dioxide emissions and a method thereof, comprising: a vehicle status detection unit that detects vehicle status information including fuel supply device operation information, vehicle speed, transmission position, and pedal depression information; an ignition unit that turns the vehicle on / off; a wireless communication unit that performs wireless data communication by connecting to a control server through a wireless data communication network; a control unit that calculates the amount of carbon dioxide emissions, determines whether the engine is idling based on the vehicle speed, transmission position, and pedal depression information, performs an idling restriction determination when idling occurs, and controls the ignition unit to turn off the ignition if it is determined that the idling restriction condition is met, and calculates and stores the amount of carbon dioxide emissions reduced by idling restriction until the ignition is turned on using a specific formula, wherein the vehicle status detection unit is connected to a sensing device provided in the vehicle to obtain vehicle information including the transmission position and outputs it to the control unit; and a reed sensor switch that is installed on a brake pedal and has a reed gap that varies depending on the depression of the brake pedal, and includes a brake A pedal pressing detection unit detecting the degree of pedal pressing is included, wherein the control unit determines that an idling restriction condition exists when the vehicle speed is 0, the position of the transmission is in neutral (N), and the lead gap is within a first reference gap, and sets an idling restriction mode when the idling restriction condition is satisfied and counts a lead time, which is a waiting time until the engine is turned off, and when a change occurs in the lead gap by a predetermined gap (△gap) or more while the brake pedal is pressed within the first reference gap during the lead time count, the idle restriction mode is released to maintain the engine in an on state, and when there is no change in the lead gap during the lead time count or when it changes within a predetermined gap (△gap), the engine is turned off after the lead time.When the lead gap is pressed by a certain gap (△ gap) after the engine is turned off due to satisfaction of the above idling restriction condition, the engine is turned on by controlling the starter, and when the engine is first turned on or restarted, the engine revolutions per minute (RPM) are obtained through the interface, and when the acquired engine revolutions per minute exceed the engine revolutions per minute for sudden acceleration by comparing it with the preset engine revolutions per minute for sudden acceleration, the starter is controlled to forcibly turn off the engine, and the vehicle speed, GPS position value, battery voltage value, RPM, door open / close, cumulative fuel consumption, cumulative driving distance, sudden start, sudden stop, sudden acceleration and total driving time measured through the vehicle status detection unit, and the vehicle status information and driving record information, and the amount of carbon dioxide emitted and the amount of carbon dioxide emitted reduced, the cumulative idle-off time, the idle-off countdown time, the idle-off maintenance time, the fuel saving value due to idling prevention and the pollutant exhaust gas value due to idling prevention, the cumulative number of restarts, and the idling of the idling restriction implementation rate It is configured to transmit one or more of the restricted information to the control server through the wireless communication unit, thereby calculating or measuring the amount of carbon dioxide generated from the vehicle in real time, calculating in real time the amount of carbon dioxide reduced by idling prevention when idling prevention is performed, and storing the calculated reduced amount of carbon dioxide in a storage device or transmitting it to the control server so that the reduced carbon dioxide amount data can be utilized for carbon emission trading.

[0010] Korean Patent Registration No. 10-1322332 relates to a device and method for utilizing vehicle data, comprising: a receiving unit that acquires at least one of vehicle data from the vehicle's OBD (On Board Diagnostics)-Ⅱ interface among vehicle engine RPM (Revolutions Per Minute) data and vehicle TPS (Throttle Position Sensor) data; And a calculation unit that models the correlation between the vehicle data and the calculated carbon emissions, and substitutes the vehicle data into a predetermined mathematical formula to calculate the carbon emissions of the vehicle, by using the vehicle data as an independent variable and the carbon emissions calculated from the weight of carbon dioxide corresponding to the MAF (Mass Air Flow) value of the vehicle by the chemical reaction formula of octane as a dependent variable, and the predetermined mathematical formula is configured to be determined in consideration of the system capacity, computational capability, or computational tolerance of the system of the vehicle by modeling the correlation between the carbon emissions and the at least one vehicle data as a linear function, a quadratic function, or a multidimensional polynomial, among one or more candidates of the calculated mathematical formulas, so that the carbon dioxide emissions can be estimated using RPM information and TPS information that can be easily checked by anyone through the vehicle OBD-II interface, which is a data protocol disclosed worldwide.

[0011] Korean Patent Publication No. 10-2013-0007158 relates to a method for generating carbon emission rights based on the amount of charge charged to an electric vehicle, comprising: a step of detecting the amount of charge charged to an electric vehicle; a step of calculating a distance that the electric vehicle can drive with the amount of charge using vehicle information of the electric vehicle and the amount of charge; and a step of generating carbon emission rights corresponding to the amount of carbon emissions generated when an internal combustion engine vehicle drives the distance that the electric vehicle can drive with the amount of charge. By providing a compensation service for carbon emission rights to operators of electric vehicles, the use of electric vehicles can be expanded, and by allowing individuals, companies, and institutions to trade carbon emission rights among themselves, the understanding of carbon emissions and efforts to reduce them can be increased.

[0012] [Prior Art Literature]

[0013] [Patent Document]

[0014] (Patent Document 0001) Republic of Korea Patent Registration No. 10-1283356 (Registered on July 2, 2013, Title: Vehicle driving recorder with vehicle carbon dioxide emission reduction function and method thereof)

[0015] (Patent Document 0002) Republic of Korea Patent Registration No. 10-1322332 (Registered on October 21, 2013, Title: Vehicle Data Utilization Device and Method)

[0016] (Patent Document 0003) Republic of Korea Patent Publication No. 10-2013-0007158 (Published on January 18, 2013, Title: Method for Generating Carbon Emission Credits Based on the Amount of Charged Electric Vehicle)

[0017] The purpose of the present invention is to provide a method and system for calculating carbon emissions using vehicle data, which can obtain vehicle data through a vehicle OBD-II interface to calculate carbon emissions and check the calculated carbon emissions information in real time, thereby encouraging more economical and safe driving habits.

[0018] Another object of the present invention is to provide a method and system for calculating carbon emissions using vehicle data, which enable the appropriate use of various methods for calculating carbon emissions, such as a chemical reaction method, a mileage method, and an IPCC method, and enable accurate calculation of carbon emissions, such as by analyzing the driver's driving habits and excluding carbon emissions calculation using the mileage method in cases of driving that is not good for fuel efficiency, such as rapid acceleration.

[0019] Another object of the present invention is to provide a method and system for calculating carbon emissions using vehicle data, which utilizes data provided directly from the vehicle and thus enables more accurate calculation of carbon emissions compared to GPS signals.

[0020] Another object of the present invention is to provide a method and system for calculating carbon emissions using vehicle data, which can induce the development of high value-added vehicles by enabling carbon emissions calculation using the vehicle's OBD-II interface.

[0021] Another object of the present invention is to provide a carbon emission calculation method and calculation system using vehicle data, which provides reward points to drivers who participate in reducing carbon emissions by using a carbon emission calculation method, and enables safe driving by preventing rapid acceleration, rapid deceleration, and sudden stops, and vehicle management such as consumables and abnormal signs, and detection and alarm of ADS abnormal signs.

[0022] The technical problems to be solved by the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned can be clearly understood by a person having ordinary skill in the technical field to which the present invention belongs from the description below.

[0023] The carbon emission calculation method using vehicle data of the present invention to achieve the above purpose is

[0024] A step of acquiring vehicle data such as driving time, driving distance, vehicle speed, MAF (Mass Air Flow) air flow, fuel consumption, and fuel efficiency from the vehicle OBD (On Board Diagnostics)-Ⅱ interface; and

[0025] It is comprised of a step of calculating the carbon emissions of the vehicle and the accumulated carbon emissions over a certain period by substituting the vehicle data into a predetermined mathematical formula;

[0026] The above carbon emissions are calculated by using the vehicle data as an independent variable and the carbon emissions calculated in advance from the carbon weight corresponding to the MAF value by a chemical reaction formula as a dependent variable, modeling the correlation between the vehicle data and the carbon emissions calculated in advance, and inputting the vehicle data into a predetermined mathematical formula to calculate the carbon emissions of the vehicle.

[0027] The above predetermined mathematical formula is characterized in that it is predetermined by modeling the correlation between the carbon emissions and the at least one vehicle data as a linear function, a quadratic function, or a multidimensional polynomial.

[0028] In the present invention, carbon emissions are calculated by any one of the chemical reaction method, the driving distance method, and the IPCC method depending on the driver's driving behavior, such as rapid acceleration.

[0029] In the present invention, carbon emissions by chemical reaction method

[0030] Calculated by the mathematical formula Carbs = FC × CO2L (where FC is fuel consumption and CO2L is fuel carbon emissions).

[0031] The above FC = MAF (g / s) / (FTC × DOF (g / L)) (wherein, MAF is the air mixing ratio as the amount of air mixed per 1g of fuel, FTC is the fuel equivalence ratio by fuel, and is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG, and DOF is the fuel density by fuel, and is 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG).

[0032] In the present invention, the cumulative carbon emissions are

[0033] It is calculated by Carb_C = FC_C×CO2L,

[0034] The above FC_C is

[0035] is operated by,

[0036] The above CO2L is the carbon emissions (content) by fuel, and is characterized by 2,300 for gasoline, 2,700 for diesel, 1,500 for LPG, and 1,700 for CNG.

[0037] In the present invention, carbon emissions (kgC02) according to the IPCC method are

[0038] CE(kgCO2) = Fuel consumption (L) × Fuel density (kg / L) × Carbon content (kg C / L) × Combustion rate × Molecular weight ratio of CO2

[0039] is operated by,

[0040] Here, the fuel density is characterized as 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG.

[0041] In the present invention, the cumulative carbon emissions CE (kgCO2) by the IPCC method is calculated by FC_C X C_CC,

[0042] The above F_CC is

[0043] (Here, C_FTC is calculated by fuel equivalence (%), which is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG)

[0044] The above MAF is

[0045] (Here, C_VE is the engine air intake ratio of 0.85 (%), C_ED is the displacement of 0.002 (m3), C_R is the gas constant of 8.314 (J / (mol.K), and C_IAT is the intake air temperature of 273.15 (K)).

[0046]

[0047] The carbon emission calculation system using vehicle data of the present invention to achieve the above purpose is

[0048] A receiving unit that receives vehicle data such as driving time, driving distance, vehicle speed, MAF (Mass Air Flow) airflow, fuel consumption, and fuel efficiency from the vehicle OBD (On Board Diagnostics)-Ⅱ interface;

[0049] A calculation unit that calculates the carbon emissions of the vehicle and the accumulated carbon emissions for a certain period of time by inputting the vehicle data into a predetermined mathematical formula using one of the chemical reaction method, the IPCC method, and the driving distance method; and

[0050] It consists of an output unit that visually or audibly informs the driver of the carbon emissions calculated in the above calculation unit;

[0051] The above carbon emissions are calculated by using the vehicle data as an independent variable and the carbon emissions calculated in advance from the carbon weight corresponding to the MAF value by a chemical reaction formula as a dependent variable, modeling the correlation between the vehicle data and the carbon emissions calculated in advance, and inputting the vehicle data into a predetermined mathematical formula to calculate the carbon emissions of the vehicle.

[0052] The above predetermined mathematical formula is characterized in that it is predetermined by modeling the correlation between the carbon emissions and the at least one vehicle data as a linear function, a quadratic function, or a multidimensional polynomial.

[0053] In the present invention, the carbon emission by the chemical reaction method by the operation unit is

[0054] Calculated by the mathematical formula Carbs = FC × CO2L (where FC is fuel consumption and CO2L is fuel carbon emissions).

[0055] The above FC = MAF (g / s) / (FTC × DOF (g / L)) (wherein, MAF is the air mixing ratio as the amount of air mixed per 1g of fuel, FTC is the fuel equivalence ratio by fuel, and is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG, and DOF is the fuel density by fuel, and is 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG).

[0056] In the present invention, the cumulative carbon emissions by the calculation unit are

[0057] It is calculated by Carb_C = FC_C×CO2L,

[0058] The above FC_C is

[0059] is operated by,

[0060] The above CO2L is the carbon emissions (content) by fuel, and is characterized by 2,300 for gasoline, 2,700 for diesel, 1,500 for LPG, and 1,700 for CNG.

[0061] In the present invention, the carbon emissions (kgC02) by the IPCC method of the operation unit are

[0062] It is calculated by fuel consumption (L) X fuel density (g / L) X carbon content (g / kg).

[0063] Fuel density is characterized by 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG.

[0064] In the present invention, the operation unit

[0065] It is characterized by calculating reward points to provide reward points to drivers who participate in reducing carbon emissions, safe driving points to prevent sudden acceleration, sudden deceleration, and sudden stops, and points associated with vehicle management for consumables and abnormal signs.

[0066] According to the carbon emission calculation method and calculation system using vehicle data of the present invention, carbon emissions can be calculated using vehicle data through a vehicle OBD-II interface, and the calculated carbon emission information can be checked in real time, thereby inducing more economical and safe driving habits.

[0067] In addition, it is possible to appropriately use various methods for calculating carbon emissions, such as the chemical reaction method, the mileage method, and the IPCC method, and to accurately calculate carbon emissions, such as by excluding carbon emissions calculations using the mileage method in cases where the driver's driving habits are analyzed and driving that is not good for fuel efficiency, such as rapid acceleration.

[0068] Additionally, since it utilizes data provided directly from the vehicle, it is possible to calculate carbon emissions more accurately than GPS signals.

[0069] Additionally, since carbon emissions can be calculated using the vehicle's OBD-II interface, it can encourage the development of high value-added vehicles.

[0070] In addition, it provides reward points to drivers who participate in reducing carbon emissions by using a carbon emission calculation method, and it is possible to manage vehicles such as consumables and abnormal signs, as well as detect and alarm ADS abnormal signs, for safe driving by preventing sudden acceleration, sudden deceleration, and sudden stops.

[0071]

[0072] The effects of the present invention are not limited to the effects described above, and should be understood to include all effects that can be inferred from the detailed description of the present invention or the composition of the invention described in the claims.

[0073]

[0074] Figure 1 is a control configuration diagram of a carbon emissions calculation system using vehicle data according to one embodiment of the present invention.

[0075] Figure 2 is a network configuration diagram of a carbon emission management system using vehicle data according to one embodiment of the present invention.

[0076] Figure 3 is a graph calculating carbon emissions based on driving distance in normal driving.

[0077] Figure 4 is a graph calculating carbon emissions using the IPCC method during normal driving.

[0078] Figure 5 is a graph comparing carbon emissions calculated using the chemical reaction method, driving distance method, and IPCC method in normal driving.

[0079] Figure 6 is a graph calculating carbon emissions by driving distance in bad driving.

[0080] Figure 7 is a graph calculating carbon emissions from bad driving using the IPCC method.

[0081] Figure 8 is a graph comparing carbon emissions calculated using the chemical reaction method, driving distance method, and IPCC method for bad driving.

[0082]

[0083] The drawings above illustrate specific embodiments of the present invention, which are further described in detail below. These drawings are not intended to limit the scope of the present invention in any way, but rather to enable those skilled in the art to understand the concepts of the present invention by referring to specific embodiments.

[0084]

[0085] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention.

[0086] The terms used in the present invention are used only to describe specific embodiments and are not intended to limit the present invention.

[0087] Singular expressions include plural expressions unless the context clearly dictates otherwise. In this application, terms such as "comprise" or "have" are intended to indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but should be understood not to preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0088] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which the present invention belongs.

[0089]

[0090] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

[0091] Figure 1 is a control configuration diagram of a carbon emission calculation system using vehicle data according to one embodiment of the present invention. Figure 2 is a network configuration diagram of a carbon emission management system using vehicle data according to one embodiment of the present invention. Figure 3 is a graph calculating carbon emissions using the mileage method during normal driving. Figure 4 is a graph calculating carbon emissions using the IPCC method during normal driving. Figure 5 is a graph comparing carbon emissions calculated using the chemical reaction method, mileage method, and IPCC method during normal driving. Figure 6 is a graph calculating carbon emissions using the mileage method during bad driving. Figure 7 is a graph calculating carbon emissions using the IPCC method during bad driving. Figure 8 is a graph comparing carbon emissions calculated using the chemical reaction method, mileage method, and IPCC method during bad driving.

[0092]

[0093] The present invention relates to a method and system for calculating carbon emissions of a vehicle, which calculates carbon emissions of the vehicle using vehicle data (speed, RPM data, TPS data, etc.) that can be provided through the vehicle's OBD (On Board Diagnostics)-II interface.

[0094] As illustrated in FIG. 1, the system of the present invention can be configured to include a receiving unit (110), an operation unit (120), and an output unit (130).

[0095] The receiving unit (110) receives vehicle data, such as speed, RPM data, and TPS data, as shown in Tables 1 and 2 below, through the OBD-Ⅱ interface.

[0096] The calculation unit (120) calculates carbon emissions by applying the vehicle data obtained through the receiving unit (110) to a preset mathematical formula, and outputs the calculated carbon emissions through the output unit (130).

[0097] The calculation unit (120) also calculates reward points to provide reward points to drivers who participate in reducing carbon emissions, calculates safe driving points to prevent rapid acceleration, rapid deceleration, and sudden stops, and calculates points related to vehicle management such as consumables and abnormal signs.

[0098] The output unit (130) displays the calculated carbon emissions in a visual form such as letters or pictures, or outputs them to the driver in an auditory form such as a warning sound or voice message, and can be implemented, for example, as a monitor installed in the vehicle or a driver's smartphone.

[0099] The output unit (130) also outputs and informs the driver of points related to vehicle management, such as carbon emission reduction compensation points, safe driving points to prevent rapid acceleration, rapid deceleration, and sudden stops, and consumables and abnormal signs.

[0100] The carbon emission calculation and output operation of the present invention configured as described above determines a calculation formula for calculating carbon emissions, acquires vehicle data from an OBD-Ⅱ interface at preset intervals, calculates carbon emissions by substituting the acquired vehicle data into the preset calculation formula, and then performs a process of providing the calculated carbon emissions to the driver in a visual or auditory form.

[0101] In addition, the process of calculating reward points to provide reward points to drivers who participate in reducing carbon emissions, calculating safe driving points to prevent sudden acceleration, sudden deceleration, sudden stops, etc., and calculating and providing guidance on points related to vehicle management such as consumables and abnormal signs is performed.

[0102] The management system according to the present invention is networked with the management server (200) as illustrated in FIG. 2, so that carbon emissions can be comprehensively managed by vehicle type, driver, region, etc.

[0103] To this end, as illustrated in FIG. 2, the system may be composed of a vehicle monitoring device (100) and a carbon emission management server (200) connected via a network (N).

[0104] The vehicle monitoring device (100) is a device that transmits the vehicle's carbon emission calculation result obtained by the system illustrated in FIG. 1 to the carbon emission management server (200) via a network (N), and the carbon emission management device (200) can manage the vehicle's carbon emission in real time using the calculation result.

[0105] The carbon emission management server (200) is a server that receives carbon emissions from the vehicle monitoring device (100) through a network (N) to manage the vehicle's carbon emissions in real time and manages data related to carbon emissions by vehicle, region, or driver.

[0106] The management server (200) can be linked to insurance companies, etc. to manage carbon emissions for each driver and provide certain benefits to drivers who contribute to reducing carbon emissions.

[0107] Meanwhile, the vehicle monitoring device (100) according to the present invention can be installed for each vehicle, and the carbon emission management server (200) can receive carbon gas measurement results from the monitoring devices (100) of multiple vehicles and manage carbon emission-related data for each vehicle.

[0108] In addition, the management server (200) can provide various services to drivers by managing reward points for drivers who participate in reducing carbon emissions, safe driving points to prevent sudden acceleration, sudden deceleration, sudden stops, etc., and points related to vehicle management such as consumables and abnormal signs.

[0109] In addition, the monitoring device (100) obtains and analyzes vehicle data, selects a vehicle that is driving normally or driving poorly as described below, and calculates and outputs carbon emissions by applying an appropriate method.

[0110] Additionally, the monitoring device (100) detects abnormal signs of the automated driving system (ADS) and informs the driver of the abnormalities.

[0111] The abnormal symptoms of ADS can be reflected in the vehicle management score as shown in Table 11.

[0112]

[0113] Next, the carbon emissions calculation algorithm is explained as follows.

[0114] Carbon emissions can be calculated using accurate fuel consumption, but can also be indirectly calculated using vehicle data, such as MAF (Mass Aire Flow) information and the chemical reaction formula for octane contained in the fuel.

[0115] MAF is the amount of air mixed per 1g of fuel in a chemical reaction, also called air mixing ratio, and the unit is g / s.

[0116] The vehicle data items collected for carbon emission calculation in the present invention are as shown in Tables 1 and 2 below.

[0117] Recorded time, Running time after engine start, Odometer, Engine RPM, Vehicle speed, Fuel Tank Level Input, Throttle position, MAF Airflow, O2 Sensor data, Ambient Air Temperature, Accelerator Pedal Position, DACcelerator Pedal Position, EGPS Latitude, GPS Longitude, GPS Altitude, Timestamp, ESS, ODMRP, VSRT_FTLIRT_THP, MAFO2SEDTE_AATRT_APEP_DRT_APEP_ELATIT, LONGTALTIT

[0118] Recording time, running time after engine start, odometer, vehicle speed, MAF, air flow rate, Time stamp, ESSODMVSMAF

[0119] In order to calculate carbon emissions (g) Carbs, fuel consumption (L) FC, driving distance (km) Dist, and fuel efficiency (km / L) FE must be calculated respectively. First, fuel consumption FC is calculated using the following mathematical formula 1.

[0120] [Mathematical Formula 1]

[0121]

[0122] Here, MAF is the air mixing ratio, which is the amount of air mixed per 1g of fuel in a chemical reaction, FTC is the fuel equivalence ratio by fuel, and DOF is the fuel density by fuel.

[0123] Next, the driving distance is calculated by the following mathematical formula 2.

[0124] [Equation 2]

[0125]

[0126] Here, VS is the speed per hour, and 3600(s) is 60 minutes, or 1 hour.

[0127] Next, the fuel efficiency FE is calculated by the following mathematical formula 3.

[0128] [Equation 3]

[0129]

[0130] In other words, fuel efficiency is the total driving distance divided by the total fuel consumption.

[0131] When the fuel consumption (L) FC, driving distance (km) Dist, and fuel efficiency (km / L) FE are obtained by the above mathematical equations 1, 2, and 3, the carbon emission (g) Carbs can be calculated by the following mathematical equation 4. That is, the carbon emission is the value obtained by multiplying the fuel consumption by the fuel carbon emission for each fuel.

[0132] [Equation 4]

[0133]

[0134] Here, CO2L is the fuel-specific carbon emissions, and as shown in Table 2, it is 2,310 for gasoline, 2,680 for diesel, 1,510 for LPG, and 2,750 for CNG.

[0135] As described above, carbon emissions during vehicle operation, for example, daily carbon emissions, are calculated based on fuel consumption, driving distance, and fuel efficiency calculated using the above mathematical formulas 1, 2, and 3, respectively.

[0136] At this time, when the vehicle is running, the records per second are integrated, that is, the records from 00:00:01 to 24:59:59 are integrated and output.

[0137] Each accumulated value of the above fuel consumption (L), driving distance (km), fuel efficiency (km / L), and carbon emissions (g), i.e., accumulated fuel consumption (L) FC_C, accumulated driving distance (km) Dist_C, accumulated fuel efficiency (km / L) FE_C, and accumulated carbon emissions (g) Carb_C can be calculated by the following mathematical equations 5, 6, 7, and 8, respectively.

[0138] [Equation 5]

[0139]

[0140] [Equation 6]

[0141]

[0142] [Equation 7]

[0143]

[0144] [Equation 8]

[0145]

[0146] Additionally, the carbon emissions CO2E(g) for the total distance can be calculated using the following mathematical formula 9. That is, it is the product of the total distance divided by the average fuel efficiency and the fuel carbon emissions for each fuel.

[0147] [Equation 9]

[0148]

[0149] The constants in the above mathematical expressions 1 to 9 can be organized as shown in Table 3 below.

[0150] Constant theorem, fuel equivalent, specific fuel density, carbon content, FTC (%), DOF (g / L), CO2 L (g), gasoline 14,77402,310, diesel 14.58302,680, LPG 15.55001,510, CNG 17.20722,750

[0151] As shown in Table 3, constants such as fuel equivalence ratio FTC (%), fuel density DOF (g / L), and fuel carbon emissions CO2L show different values ​​for each fuel, such as gasoline, diesel, LPG, and CNG.

[0152] Next, unlike the carbon emission calculation using MAF as described above, the carbon emission calculation using IPCC (Intergovernmental Panel on Climate Change) is performed as follows.

[0153] The established CO2 emissions calculation formula, which includes idling, is based on the guidelines of the revised International Energy Use Rationalization Act and the IPCC guidelines. Furthermore, it is designed to calculate carbon emissions based on a variety of information for domestic vehicles that do not meet the OBD2 standard.

[0154] For vehicles without MAF, MAF is calculated through MAP, and when MAP is estimated as MAF and calculated, carbon emissions are calculated using the following mathematical formulas.

[0155] Here, PR_IMAP is defined as 0x0B, RPM is defined as 0x0C, and TE_IAT is defined as 0x0F.

[0156] [Equation 10]

[0157]

[0158] Here, C_VE is the engine air intake ratio, C_ED is the displacement, C_R is the gas constant, PR_IMAP is the intake manifold absolute pressure, RPM is the engine speed, TE_IAT is the intake air temperature, C_MAIR is the air molecular weight, and PR_ABP is the absolute atmospheric pressure.

[0159] When the molecular weight of air is 28.9 g / mol, the displacement is 1.6 for 1599 cc, 2.0 for 1999 cc, and the engine intake air ratio is 0.85.

[0160] Based on this, the cumulative fuel consumption (L) FC_C can be calculated using mathematical expression 11.

[0161] [Equation 11]

[0162]

[0163] Additionally, the IPCC calculates carbon emissions CE from fuel consumption using emission factors for various fuels and environmental conditions.

[0164] [Equation 12]

[0165] CE(kgCO2) = Fuel consumption (L) × Fuel density (kg / L) × Carbon content (kg C / L) × Combustion rate × Molecular weight ratio of CO2

[0166] Here, fuel consumption is the consumption of fuel used, fuel density is the density by fuel type, carbon content is the amount of carbon contained per 1L of fuel, combustion rate is the ratio indicating how completely carbon is burned when the fuel is burned, and is generally assumed to be 1 or 100%, and CO2 molecular weight ratio is the ratio of the atomic weight of carbon to the molecular weight of CO2. Since the atomic weight of carbon is 12 and the molecular weight of CO2 is 44, this ratio is 44 / 12 or 3.67.

[0167] [Equation 13]

[0168]

[0169]

[0170] Meanwhile, the accumulated driving distance (km) Dist_C and the accumulated fuel efficiency (km / L) FE_C can be calculated by the following mathematical equations 14 and 15, respectively.

[0171] [Equation 14]

[0172]

[0173] [Equation 15]

[0174]

[0175]

[0176] The constants can be organized as shown in Tables 4 and 5 below.

[0177] Constant Theorem Engine Intake Air Ratio Displacement Gas Constant Intake Air Temperature C_VE (%) C_ED (m3) C_R (J / (mol.K) C_IAT (K) 0.85 0.00 28.3 14 27 3.15

[0178] Constant theorem, fuel equivalent, fuel density, carbon content, oxidation rate, C_FTC (%), C_DOF (Kg / L), C_CC (Kg C / L), C_BR, gasoline, 14.7, 0.74, 0.87, 0.99, diesel, 14.5, 0.83, 0.865, LPG, 15.5, 0.5, 0.825, CNG, 17.2, 0.72, 0.750

[0179] In Table 5, the combustion rate is 100%. Carbon content is, for example, the amount of carbon contained in 1 liter of gasoline, oxidation rate is the rate at which carbon is converted to carbon dioxide during the combustion process, molar mass of CO2 is the mass of 1 mole of carbon converted to carbon dioxide, and a general method for calculating the amount of CO2 produced when burning 1 liter of gasoline is as follows.

[0180] CO2 emissions (kg) = gasoline consumption (L) × carbon content (kg / L) × oxidation rate × molar mass ratio of CO2 CO2 emissions (kg)

[0181] According to the IPCC's 2006 guidelines, the carbon content of gasoline is approximately 0.86 kg / L, and the oxidation rate is assumed to be nearly 100%. The molar mass ratio of CO2 is calculated using the ratio of the atomic mass of carbon (12 g / mol) to the molecular mass of carbon dioxide (44 g / mol). This allows for the following calculation:

[0182] CO2 emissions (kg) = gasoline consumption (L) × 0.86 × 44 / 12 CO2 emissions (kg) = gasoline consumption (L) × 0.86 × 44 / 12

[0183]

[0184] If 1-second time series data is accumulated for 1 hour and it is assumed that 100 km is traveled in 1 hour, carbon emissions are calculated in the following order.

[0185] First, the MAF values ​​are cumulatively added.

[0186] Next, the fuel consumption (g) is calculated using the following mathematical formula 16.

[0187] [Equation 16]

[0188] Fuel consumption (g) = MAF total (g) / fuel equivalence ratio = 12,000 / 14.7 = 816.33g

[0189] Additionally, fuel consumption (L) is calculated using the following mathematical expression 17.

[0190] [Equation 17]

[0191] Fuel consumption (L) = Fuel consumption (g) / Fuel density = 816.33 / 740 = 1.103L

[0192]

[0193] Therefore, the amount of fuel used per mileage can be calculated using the following equation (18).

[0194] [Equation 18]

[0195] Fuel efficiency (km / L) = driving distance (km) / fuel consumption (L) = 100 / 1.103 = 9.06km / L

[0196] The amount of fuel required to drive 100 km can be calculated using the following equation (19).

[0197] [Equation 19]

[0198] Fuel economy (L / 100km) = 100km / fuel economy (km / L) = 100 / 9.06 = 11.3L / 100km

[0199] Next, carbon emissions are calculated by the following mathematical formula 20.

[0200] [Equation 20]

[0201] Carbon emissions (kg / CO2) = fuel consumption (L) × fuel density (g / L) × carbon content (g / kg) = 1.103 × 740 × 2310 × 0.99 × 1 / 1000 = 1.866 kgCO2

[0202]

[0203] The following explains the cases of calculating carbon emissions using the IPCC method in general driving and the cases of calculating carbon emissions based on driving distance.

[0204] Figures 3 and 4 are graphs showing vehicle data obtained from the OBD-II interface of a vehicle while driving at a constant speed along a driving route of a certain distance.

[0205] As shown in Figures 3 and 4, in a stationary section where the speed is 0 km / h, there is no driving distance, so it is calculated that there are no CO2 emissions. However, even in an idling situation in a stationary section, the engine is operating and consuming fuel, so CO2 is emitted.

[0206] As shown in Figure 5, the weight ratio of carbon is 1.26 kg for the driving distance method, 1.43 kg for the IPCC method, and 1.27 kg for the chemical reaction method.

[0207] Therefore, it can be seen that the mileage method, IPCC method, and chemical reaction method can all be used to calculate carbon emissions in normal driving conditions. However, as mentioned above, even when idling at a standstill, the engine operates and consumes fuel, resulting in CO2 emissions. Therefore, except for areas with few standstills, such as highways, the IPCC method or chemical reaction method may be more effective.

[0208] Next, we will explain the cases of calculating carbon emissions using the IPCC method in bad driving and the cases of calculating carbon emissions based on driving distance.

[0209] Figures 6 and 7 are graphs showing vehicle data obtained from the vehicle's OBD-II interface while driving at rapid acceleration along a driving path of a certain distance.

[0210] In driving with poor driving habits such as rapid acceleration, fuel consumption increases, so the IPCC method or chemical reaction method that uses fuel consumption is more effective than simple carbon emissions calculation based on driving distance.

[0211] As shown in Figure 8, the weight ratio of carbon is 1.24 kg for the driving distance method, 2.40 kg for the IPCC method, and 2.14 kg for the chemical reaction method.

[0212] Meanwhile, the configuration for judging rapid acceleration, etc. to determine whether the above-mentioned normal driving or bad driving can be performed through the monitoring device (100) as described above. That is, if the monitoring device (100) determines that the driver is driving badly, the carbon emissions can be calculated using the chemical reaction method or the IP[CC method rather than the driving distance method.

[0213] For example, based on the analysis results of the monitoring device (100), if the fuel consumption and rapid acceleration patterns are analyzed based on a certain driving distance and the fuel consumption compared to the driving distance is an average value, the carbon emissions are calculated using a method arbitrarily selected from among the three methods, and if the fuel consumption exceeds the average value, the carbon emissions can be calculated using the chemical reaction method or IPCC method other than the driving distance method.

[0214] By doing so, more accurate carbon emission information can be provided to drivers, which can effectively reduce carbon emissions by correcting their driving habits in case of bad driving.

[0215] Meanwhile, in fuel-efficient driving, the following mathematical formula can be used to calculate horsepower.

[0216] First, the method using engine load and RPM can be calculated using the following mathematical expression 21.

[0217] [Equation 21]

[0218] Horsepower (HP) = (Engine RPM × Engine Load) / 5252

[0219] Here, the required PID (Parameter ID) is 0x0C for engine RPM and 0x04 for engine load.

[0220] Additionally, the method using fuel usage and energy density of the fuel can be calculated using the following mathematical expression 22.

[0221] [Equation 22]

[0222] Horsepower (HP) = (Fuel consumption (L / h) × Energy volume density (Mj / L)) / 0.7457

[0223] Here, 0.7457 is the constant used to convert from watts to horsepower.

[0224] The PID required is 0x5E, which is available on some vehicles for fuel usage.

[0225] Additionally, the method using torque and RPM can be calculated using the following mathematical expression 23.

[0226] [Equation 23]

[0227] Horsepower (HP) = (Estimated torque × RPM) / 7121

[0228] Here, the estimated torque value can be calculated as 24 in the following mathematical expression.

[0229] [Equation 24]

[0230] Estimated torque value = maximum engine torque performance × (engine load / 100)

[0231] Here, the required PID is 0x0C for engine RPM and 0x63 for maximum engine torque performance.

[0232] The constants are as shown in Table 6 below.

[0233] Constant theorem Energy volume density Energy density MJ / LMJ / kg Gasoline 25~35(34) 44~46(45) Diesel 35~38(37) 45~48(47) LPG 25~28(26) 25~28(27) CNG 09~11(10) 50~55(53)

[0234] Next, reward points are provided to drivers who contribute to reducing carbon emissions calculated using the carbon emissions calculation method described above, and safe driving to prevent sudden acceleration, sudden deceleration, sudden stops, etc., vehicle management such as consumables and abnormal signs, and ADS abnormal sign detection and alarm technology are explained as follows.

[0235] For reference, Table 7 is statistical data collected from City A, Gyeonggi Province, and is the average data for annual driving distance, daily driving distance, road carbon emissions, daily carbon emissions, standard index, and distance-based carbon emissions, each calculated by logarithm.

[0236] If we calculate the standard average index, compare the emissions per distance, and then calculate the reduction amount, when driving 1,000 km with eco driving, the carbon emissions are 245 kg, but as of 2018, 1,000 X 319 g = 326 kg, so the carbon emissions reduction rate is Carbon emissions reduction rate = Actual driving carbon emissions - Standard carbon emissions (2018) = 326 - 245 = 80, which is a reduction rate of 24.8%.

[0237] Statistical dataTotal Passenger Cargo Special Note Number of registered vehicles 489,774 428,580 12,811 46,699 1,684 Annual driving distance (thousand km) 7,036,721.90 5,667,185.80 261,711.001,071,645.80 36,179.30 1 Daily driving distance (km) 39.36 36.23 55.976 2.875 8.86 (1,000 km x 1000) / 365) / number of vehicles Road carbon emissions 2,292,061.94 1,807,381.96 106,506.46 366,179.71 11,993.81 1 Days Standard carbon emissions (kg) 12.8211.5522.7821.4819.51 ((ton x 1000) / 365) / Number of vehicles Standard index Total Passenger Cargo Special Note Distance-based carbon emissions 326g 319g 407g 332g 332g Standard carbon emissions / Standard driving distance

[0238] Therefore, in the present invention, considering that the carbon emission reduction rate can be achieved as described above, compensation is provided by granting carbon emission reduction participation points to the driver. First, the carbon emission reduction points are calculated by Equation 26 by applying the carbon emission reduction amount obtained by Equation 25 below.

[0239] [Equation 25]

[0240] Carbon emissions reduction = ((actual driving distance / standard driving distance) × daily carbon emissions) - driver carbon emissions

[0241] [Equation 26]

[0242] Carbon emission reduction points = Carbon emission reduction amount × Drainage section ratio

[0243] For reference, Table 8 is statistical data collected from City A, Gyeonggi-do, and Table 9 shows the carbon reduction rate and drainage section rate.

[0244] Statistical dataTotal Passenger Vehicles, Combined Vehicles, Freight, Special Non-highway Carbon Emissions (tons)2,292,061.941,807,381.96106,506.46366,179.7111,993.81tb_info_dstc_coCarbon Emissions (kg) as of 21 days12.8211.5522.7821.4819.51((tons x 1000) / 365) / Number of VehiclesAnnual Driving Distance (thousand km)7,036,721.905,667,185.80261,711.001,071,645.8036,179.30tb_info_dstc_odoAs of 1 day Mileage 39.3636.2355.9762.8758.86 ((1000 km x 1000) / 365) / Number of vehicles

[0245]

[0246] Carbon reduction ratio multiplier section ratio above and below above and below 3191.01.920292.02.930393.03.040694.06.970997.09.9

[0247] Next, the participation reward points for each driver are calculated as follows. First, the imaginary values ​​are removed, and values ​​other than rpm > 100 and vs > 0 are removed from OBD2.

[0248] Next, the average driving speed value is calculated.

[0249] The above average driving speed value is calculated using mathematical expression 27 to obtain data per second of driving time.

[0250] [Equation 27]

[0251] Time (h) = Distance traveled (km) / Average speed (kg / h)

[0252] Referring to Table 8, 39.36 / 60 = 0.656h.

[0253] Here, time (s) = time (h) X 3600s, and the data sent by the user is 0.656h X 3600 = 2,361s.

[0254] Therefore, the participation reward points are calculated by mathematical formula 28.

[0255] [Equation 28]

[0256]

[0257] For reference, if you drive an average of 2.5 hours a day, it would be 9,000 seconds = 45 points X 365 = 16,425 points.

[0258] That is, the monthly average driving speed is calculated, and the driving record (seconds) is calculated using the monthly average driving speed, and the participation reward points are calculated as the driving record (seconds) X point constant.

[0259]

[0260] Next, in the case of the safe driving index such as sudden acceleration, sudden deceleration, and sudden stop, the index is calculated by mathematical formula 29, and the number of sudden acceleration, sudden deceleration, and sudden stop cases is added up on a monthly basis, and the current safety index is calculated by mathematical formula 30.

[0261] [Equation 29]

[0262]

[0263] [Equation 30]

[0264]

[0265] Table 10 below shows an example of safety index calculation.

[0266] Number of Violations, Distance Traveled, Constant Index, Score, 50, 50, 20, 1.99, 65, 12, 30, 00, 0.80, 76, 14, 74, 30, 38, 84, 54, 17, 34, 0.62, 7, 85, 11, 60, 0.09, 28, 11, 70, 30, 95, 45, 13, 65, 0.73, 77, 62, 17, 68, 0.70, 77, 46, 26, 37, 0.35, 84, 95, 65, 2.90, 60, 50, 12, 10, 83, 76, 72, 78, 60, 0.059, 50

[0267] Next, the vehicle management index (consumables management, abnormality management) displays scores every three months. Scores are calculated and output on a monthly and quarterly basis. If there is no record for more than three months, a warning message is displayed. In other words, a usage record of at least three months is required.

[0268] When a vehicle is selected and its vehicle management index is displayed, the vehicle management index score for the past 3 months is 25% for consumables and 75% for abnormal signs, with each initially assigned 70%, and then 2 points are added for consumables management when handled after the first occurrence, and 8 points are added for abnormal signs when handled after the first occurrence. All scores start from the initial reference score and are plus when managed and minus when not managed.

[0269] All points are awarded as points for the following month if you sign up within 15 days of your initial sign-up, and as points for the following month if you sign up after 15 days.

[0270] Table 11 shows an example of a vehicle management index.

[0271] Consumables (x = <20 km) Item Initial section Section multiplier 0. x (x = section number) 2 Oxygen sensor 80,000 km 22.00. 40. 6 Engine oil 5,000 km 33.00. 6 0. 9 Battery 50,000 km 22.00. 40. 6 Coolant 40,000 km 11.00. 20. 3 Brake oil 100,000 km 22.00. 40. 6 Brake lining 100,000 km 11.00. 20. 3 Brake pads 40,000 km 11 .00.20.3 Spark plug and ignition cable 100,000km 22.00.40.6 Tires (FL) 80,000km 22.00.40.6 Tires (FR) 80,000km 22.00.40.6 Tires (RL) 80,000km 22.00.40.6 Tires (RR) 80,000km 22.00.40.6 Transmission oil 100,000km 22.00.40.6 Air conditioner filter 40,000km 11.00.20.3 20km <x<40km40km<x<60km60km<x<80km초기차감추가차감이상징후가점(x=<20km)감점초기구간구간배수8이상징후ADS탐지55.05.05.020km<x<40km40km<x<60km60km<x<80km초기차감추가차감

[0272]

[0273] The scope of the present invention is not limited to the embodiments described above, but can be implemented in various forms within the scope of the appended claims. Furthermore, it is contemplated that any person skilled in the art can make various modifications without departing from the spirit of the invention as claimed in the claims, and that such modifications are within the scope of the claims.

[0274] Therefore, the scope of the present invention is not limited to the above-described embodiments, but can be implemented in various forms within the scope of the appended claims. Furthermore, it is deemed that the scope of the claims of the present invention encompasses a wide range of modifications that can be made by anyone skilled in the art without departing from the spirit of the invention as claimed in the claims.

[0275]

[0276] [Explanation of symbols]

[0277] 100: Monitoring device 110: Receiver

[0278] 120: Operation section 130: Output section

[0279] 200: Management Server

Claims

1. A step for acquiring vehicle data such as driving time, driving distance, vehicle speed, MAF (Mass Air Flow) air flow, fuel consumption, and fuel efficiency from the vehicle OBD (On Board Diagnostics)-Ⅱ interface; and It consists of a step of calculating the carbon emissions of the vehicle and the accumulated carbon emissions over a certain period by substituting the vehicle data into a predetermined mathematical formula; The above carbon emissions are calculated by using the vehicle data as an independent variable and the carbon emissions calculated in advance from the carbon weight corresponding to the MAF value by the chemical reaction formula as a dependent variable, modeling the correlation between the vehicle data and the carbon emissions calculated in advance, and substituting the vehicle data into a predetermined mathematical formula to calculate the carbon emissions of the vehicle. A method for calculating carbon emissions using vehicle data, characterized in that the above predetermined mathematical formula is predetermined by modeling the correlation between the carbon emissions and the at least one vehicle data as a first-order function, a second-order function, or a multidimensional polynomial.

2. In claim 1, A method for calculating carbon emissions using vehicle data, characterized in that the above carbon emissions are calculated using one of the chemical reaction method, the driving distance method, and the IPCC method depending on the driver's driving behavior, such as rapid acceleration.

3. In claim 2, Carbon emissions by the above chemical reaction method It is calculated by the mathematical formula Carbs = FC × CO2L (where FC is fuel consumption and CO2L is fuel carbon emissions). A method for calculating carbon emissions using vehicle data, characterized in that the above FC = MAF (g / s) / (FTC × DOF (g / L)) (wherein, MAF is the air mixing ratio as the amount of air mixed per 1g of fuel, FTC is the fuel equivalence ratio by fuel, which is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG, and DOF is the fuel density by fuel, which is 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG).

4. In claim 3, The above cumulative carbon emissions are It is calculated by Carb_C = FC_C × CO2L, The above FC_C is is operated by, The above CO2L is a carbon emission (content) by fuel, and is characterized by a method for calculating carbon emissions using vehicle data, wherein gasoline is 2,300, diesel is 2,700, LPG is 1,500, and CNG is 1,700.

5. In claim 2, Carbon emissions (kgC02) according to the above IPCC method CE(kgCO2) = Fuel consumption(L) × Fuel density(kg / L) × Carbon content(kg C / L) × Combustion rate × Molecular weight ratio of CO2 is operated by, Here, a method for calculating carbon emissions using vehicle data characterized by fuel densities of 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG.

6. In claim 5, The above cumulative carbon emissions CE (kgCO2) It is computed by FC_C X C_CC, The above F_CC is (Here, C_FTC is calculated by fuel equivalence (%), which is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG). The above MAF is (Here, C_VE is an engine air intake ratio of 0.85 (%), C_ED is an exhaust volume of 0.002 (m3), C_R is a gas constant of 8.314 (J / (mol.K)), and C_IAT is an intake air temperature of 273.15 (K)) A method for calculating carbon emissions using vehicle data, characterized in that it is calculated by.

7. A receiving unit that receives vehicle data such as driving time, driving distance, vehicle speed, MAF (Mass Air Flow) air flow, fuel consumption, and fuel efficiency from the vehicle OBD (On Board Diagnostics)-Ⅱ interface; A calculation unit that calculates the carbon emissions of the vehicle and the accumulated carbon emissions for a certain period by substituting the vehicle data into a predetermined mathematical formula using one of the chemical reaction method, IPCC method, and driving distance method; and It consists of an output section that visually or audibly informs the driver of the carbon emissions calculated in the above calculation section; The above carbon emissions are calculated by using the vehicle data as an independent variable and the carbon emissions calculated in advance from the carbon weight corresponding to the MAF value by the chemical reaction formula as a dependent variable, modeling the correlation between the vehicle data and the carbon emissions calculated in advance, and substituting the vehicle data into a predetermined mathematical formula to calculate the carbon emissions of the vehicle. A carbon emissions calculation system using vehicle data, characterized in that the above predetermined mathematical formula is predetermined by modeling the correlation between the carbon emissions and the at least one vehicle data as a first-order function, a second-order function, or a multidimensional polynomial.

8. In claim 8, The carbon emissions according to the chemical reaction formula of the above operation unit are It is calculated by the mathematical formula Carbs = FC × CO2L (where FC is fuel consumption and CO2L is fuel carbon emissions). A carbon emissions calculation system using vehicle data, characterized in that it is calculated by the above FC = MAF (g / s) / (FTC × DOF (g / L)) (wherein, MAF is the air mixing ratio as the amount of air mixed per 1g of fuel, FTC is the fuel equivalence ratio by fuel, which is 14.7 for gasoline, 14.5 for diesel, 15.5 for LPG, and 17.2 for CNG, and DOF is the fuel density by fuel, which is 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG).

9. In claim 8, The cumulative carbon emissions of the above operation unit are It is calculated by Carb_C = FC_C × CO2L, The above FC_C is is operated by, The above CO2L is a carbon emissions calculation system using vehicle data, characterized in that the carbon emissions (content) by fuel are 2,300 for gasoline, 2,700 for diesel, 1,500 for LPG, and 1,700 for CNG.

10. In claim 8, The carbon emissions (kgC02) according to the IPCC method of the above operation unit are It is calculated by fuel consumption (L) X fuel density (g / L) X carbon content (g / kg). Here, a carbon emissions calculation system using vehicle data characterized by fuel densities of 740 for gasoline, 830 for diesel, 500 for LPG, and 0.72 for CNG.

11. In claim 7, The above operation unit A carbon emissions calculation system using vehicle data, characterized by calculating reward points to provide reward points to drivers who participate in reducing carbon emissions, safe driving points to prevent rapid acceleration, rapid deceleration, and sudden stops, and points associated with vehicle management for consumables and abnormal signs.

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