KR20200105588A - High Speed Digital Tachograph Based Fuel Economy Estimation System - Google Patents

Abstract

The present invention relates to a fuel economy estimation system based on a high-speed digital driving recorder, which collects various and accurate vehicle dynamics-based information using the high-speed digital driving recorder, and is applied to a fuel economy estimation model to estimate fuel efficiency accurately in real time.

Description

High Speed Digital Tachograph Based Fuel Economy Estimation System}

The present invention relates to a fuel economy estimation system based on a high-speed digital driving recorder, and more particularly, collecting various vehicle dynamics information by using a high-speed digital driving recorder capable of collecting more information faster than the existing digital driving recorder. , It relates to a fuel efficiency estimation system based on a high-speed digital driving recorder that accurately and in real time estimates fuel efficiency according to the equation.

Digital Tachograph (DTG) is a device that records information related to vehicle operation by compulsory installation for the safety of drivers and passengers who use transportation. Transportation operators and individuals such as taxis/trucks/buses Business drivers are required to submit driving record data to government agencies, and through this, the number of accidents related to transportation is decreasing.

In addition, by using various vehicle operation information collected from the digital driving recorder, it is possible to not only record the vehicle status, but also estimate the driver's driving habits and the real-time fuel economy of the vehicle, through which incentives (transport operators Standards can be created to provide tax benefits to individuals, discounts on insurance premiums, etc.).

However, real-time fuel economy can be more accurately estimated from the driver's driving habits related to rapid acceleration and rapid deceleration, but these driver's habits require real-time vehicle information rather than intermittently, so intermittently (1 second) the vehicle self-diagnosis system ( There is a limit in estimating real-time fuel economy through the existing digital driving recorder that collects and stores various vehicle information through On Board Diagnostics).

The prior art (Korean Patent Laid-Open No. 10-2016-0100264) relates to a fuel economy prediction model generation method using DTG big data, which can accurately estimate fuel efficiency using DTG big data without direct measurement data on fuel consumption. It provides a fuel economy prediction model. However, in the prior art, fuel economy prediction using engine rotation speed and speed change values collected using a conventional digital driving recorder is inaccurate and it is difficult to estimate fuel economy in real time.

Korean Patent Publication (No. 10-2016-0100264) Fuel economy prediction model generation method using DTG big data

It is an object of the present invention to solve the conventional problem, using a variety of accurate vehicle dynamics information collected by a high-speed digital driving recorder, based on a high-speed digital driving recorder capable of estimating fuel economy in real time according to an equation To provide a system.

According to a preferred embodiment for achieving the object of the present invention described above, the fuel economy estimation system based on a high-speed digital driving recorder according to the present invention is a fuel efficiency estimation system of a vehicle, and includes moving distance, vehicle mass, horizontal moving distance, vehicle acceleration, and Including a high-speed digital driving recording device for collecting the inclination angle, characterized in that the fuel economy is estimated according to Equations 1 and 2 below.

[Equation 1]

[Equation 2]

Here, η is fuel economy (km/l), S is travel distance (km), E _fuel is used fuel energy (J), ρ _fuel is fuel density (kg/l), q _fuel is combustion energy per unit mass (J / ㎏), m is vehicle mass (㎏), r is the horizontal distance traveled (m), a vehicle acceleration (m / s ^2), θ is the inclination angle (rad), μ _k is the dynamic friction coefficient, g is the gravity acceleration (m/s ² ), sgn(·) is a sign function, and sgn is a positive number when θ>0, and a negative number when θ<0.

The fuel economy estimation system based on a high-speed digital driving recorder according to the present invention not only records the vehicle status by using various vehicle driving information collected from the high-speed digital driving recorder, but also estimates the driver's driving habits and real-time fuel economy of the vehicle. have.

In addition, the vehicle driving information provided by the high-speed digital driving recorder provides the driver with correct driving habits and provides correct driving habits to prevent traffic accidents by analyzing the driving habits of the driver through fuel economy prediction based on vehicle dynamics. It can be prevented, and can be used in various applications such as autonomous vehicles or connected cars.

In addition, the high-speed digital driving recorder can provide as much vehicle driving information in a short time by overcoming the limitations of the data acquisition period of the existing digital driving recorder, and thus various sensor information for the realization of autonomous driving technology, a future automotive technology. It can be used as a hub device that can provide integrated.

1 is a diagram schematically showing a fuel economy estimation system based on a high-speed digital driving recorder according to the present invention.
2 is GPS information of a vehicle collected by a high-speed digital driving recorder according to an embodiment of the present invention.
3 is a diagram showing fuel economy estimation according to an inclination angle collected by a high-speed digital driving recorder according to another embodiment of the present invention.
4 is a diagram showing fuel economy estimation according to an excel opening amount collected by a high-speed digital driving recorder according to another embodiment of the present invention.
5 is a view showing fuel economy estimation according to the engine speed collected by the high-speed digital driving recorder according to another embodiment of the present invention.
6 is a view showing fuel economy estimation according to vehicle speed collected by a high-speed digital driving recorder according to another embodiment of the present invention.
FIG. 7 is a view showing fuel economy estimation according to accumulated fuel consumption and accumulated travel distance collected by a high-speed digital driving recorder according to another embodiment of the present invention.

Hereinafter, an embodiment of a fuel efficiency estimation system based on a high-speed digital driving recorder according to the present invention will be described with reference to the accompanying drawings. At this time, the present invention is not limited or limited by the examples. In addition, in describing the present invention, detailed descriptions of known functions or configurations may be omitted to clarify the gist of the present invention.

1 is a diagram schematically showing a fuel economy estimation system based on a high-speed digital driving recorder according to the present invention, and FIG. 2 is a view showing GPS information of a vehicle collected by a high-speed digital driving recorder according to an embodiment of the present invention. Is a view showing the fuel economy estimation according to the inclination angle collected by the high-speed digital driving recorder according to another embodiment of the present invention, and FIG. 4 is an excel opening amount collected by a high-speed digital driving recorder according to another embodiment of the present invention. FIG. 5 is a view showing fuel economy estimation according to the number of engine revolutions collected by a high-speed digital driving recorder according to another embodiment of the present invention, and FIG. 6 is a further embodiment of the present invention. It is a diagram showing the fuel economy estimation according to the vehicle speed collected by the high-speed digital driving recorder according to the example, and FIG. 7 is a diagram showing the accumulated fuel consumption and accumulated moving distance collected by the high-speed digital driving recorder according to another embodiment of the present invention. It is a diagram showing the fuel consumption estimate according to.

Referring to FIG. 1, the fuel economy estimation system 10 based on a high-speed digital driving recording device according to the present invention can acquire data while driving a vehicle through a high-speed digital driving recording device 100 provided in the vehicle. Fuel economy can be estimated by referring to Equations 1 and 2.

[Equation 1]

[Equation 2]

Here, η is fuel economy (km/l), S is travel distance (km), E _fuel is used fuel energy (J), ρ _fuel is fuel density (kg/l), q _fuel is combustion energy per unit mass (J / ㎏), m is vehicle mass (㎏), r is the horizontal distance traveled (m), a vehicle acceleration (m / s ^2), θ is the inclination angle (rad), μ _k is the dynamic friction coefficient, g is the gravity acceleration (m/s ² ), sgn(·) is a sign function, and sgn is a positive number when θ>0, and a negative number when θ<0.

In addition, the moving distance (S), the vehicle mass (M), the horizontal moving distance (r), the vehicle acceleration (a), and the inclination angle (θ) can be obtained from the high-speed digital driving recorder 100, and the fuel density ( ρ _fuel ) and combustion energy per unit mass (q _fuel ) are values determined by the type of fuel used by the vehicle, such as gasoline, diesel, and LPG, and the dynamic friction coefficient (μ _k ) is the tire used by the vehicle. It is a value determined according to the size, width, material of the vehicle and the driving road the vehicle is traveling on, and the gravitational acceleration (g) uses a known value of 9.8m/s ² , sgn(·) is a sign function and can be determined as a positive or negative number depending on the inclination angle θ, and thus fuel economy can be estimated using Equations 1 and 2 above.

In addition, referring to FIG. 1, the high-speed digital driving recording device 100 includes a processor 110, a driving information collection unit 120, a different information unit 130, a location information unit 140, and an acceleration/gyro information unit 150. , A communication linking unit 160, a data storage unit 170, and a safety function unit 180 may be included.

Here, the processor 110 may be a high-performance microcontroller unit (MCU) capable of implementing a high-speed data collection function, and may process data required for fuel efficiency estimation.

The driving information collection unit 120 is an OBD-II (On Board Diagnostics-II) that collects vehicle driving-related information such as vehicle mileage, vehicle speed, engine speed, brake, gear value, excel opening amount, and fuel consumption. In addition, it is possible to collect up to 250 times per second or selectively additionally collect vehicle driving data necessary for fuel efficiency estimation.

The other information unit 130 may check driving time, vehicle information (vehicle identification number), vehicle error information (Diagnostics Trouble Code, DTC code), and the like, and accurately check vehicle-related information required for fuel efficiency estimation.

The location information unit 140 may be a GPS that collects vehicle location values, and can collect vehicle location values more than 100 times per second, and the processor supplements the vehicle mileage of the driving information collection unit using the collected values. can do.

The acceleration/gyro information unit 150 may collect acceleration of the vehicle and a tilt value in the three-axis direction using an acceleration sensor and a gyroscope sensor.

The communication interworking unit 160 may include a WiFi module and a BLE module, and can communicate with a vehicle network system (Control Area Network, CAN) using various communication methods. Can be transmitted.

The data storage unit 170 stores values collected by the driving information collection unit 120, the other information unit 130, the location information unit 140, and the acceleration/gyro information unit 150 and processed by the processor 110 You can provide it so you can do it.

The safety function unit 180 may protect an occupant of the vehicle from the risk of an accident by detecting an abnormality in the system and the vehicle.

In addition, values for estimating fuel economy in Equations 1 and 2 may be obtained by using the data collected by the high-speed digital driving recording apparatus 100.

First, the moving distance S of Equation 1 is a moving distance value that the vehicle has actually moved, and may be used as a vehicle driving distance value collected by the driving information collecting unit 120. The moving distance (S) may be calculated as the rotation speed of the wheel shaft by calculating the tire rotation speed and the tire circumference of the vehicle together using a tire rotation detection sensor provided in the vehicle.

The fuel density (ρ _fuel ) and combustion energy per unit mass (q _fuel ) of Equation 1 may be determined according to the fuel used by the vehicle, for example, gasoline, diesel, or LPG.

E _fuel in Equation 1 is As the used fuel energy, it can be obtained using Equation 2.

Here, the vehicle mass (M) of Equation 2 is a value including the mass of the vehicle for which fuel efficiency is to be obtained and the weight of the occupant, and the mass of the vehicle using vehicle information (vehicle identification number) of the other information unit 130 Can be seen, and the weight of the occupant can be known using a weight sensor provided in the vehicle, so that the vehicle mass M used in Equation 2 can be obtained.

In addition, the horizontal moving distance (r) of Equation 2 is a distance value that has been moved in a horizontal state without considering the actual road that the vehicle has actually moved, and the vehicle driving distance and the position collected by the driving information collecting unit 120 It can be obtained using the vehicle location value collected by the information unit 140. Vehicle driving can be largely classified into flat road driving and slope driving according to the driving road situation.For example, roads with many speed bumps, or uphill or downhill, the tire rotation speed and the circumference and rotation speed of the wheel shaft It can be obtained by checking GPS information (latitude and longitude) collected by the location information unit from the calculated moving distance (S) value.

In addition, the vehicle acceleration (a) of Equation 2 may use a value collected by the acceleration/gyro information unit 150. The driving of the vehicle can be classified into constant velocity motion and acceleration motion according to the change in vehicle speed. In the case of constant velocity motion, the vehicle acceleration (a) is 0, and in the case of acceleration motion, it can be obtained using an acceleration sensor.

In addition, the inclination angle θ of Equation 2 may also use a value collected by the acceleration/gyro information unit 150. When the vehicle is traveling on a flat road, the inclination angle is 0, and in the case of traveling on a slope, there is an inclination angle, which can be obtained using a gyroscope sensor.

Further, the dynamic friction coefficient (μ _k) of Equation (2) may be used as a value for input from the outside in accordance with the driving road of the size, width, and material of the vehicle tire that the vehicle using the running.

Hereinafter, an embodiment in which fuel efficiency is estimated using the fuel efficiency estimation system 10 based on a high-speed digital driving recorder according to the present invention will be described with reference to FIGS. 2 to 7.

First, referring to FIG. 2, the GPS information of the vehicle collected by the high-speed digital driving recorder 100 is shown. FIG. 2(a) is a trajectory from driving start to 17 minutes, and (b) is 17 It is the trajectory from minute to end of driving, (c) is the total driving trajectory, and (d) is the total driving trajectory combined with map information. Here, in order to supplement the mileage of the vehicle using GPS, the vehicle location (latitude and longitude) was received and analyzed, and it was confirmed that it was mapped to an actual map to match the actual driving route.

Referring to FIG. 3, a fuel economy estimation according to the inclination angle collected by the high-speed digital driving recorder 100 is shown, and FIG. 3(a) is a vehicle inclination angle during driving, and (b) is fuel economy information according to the vehicle inclination angle. . Here, the inclination angle of the vehicle while driving was calculated by receiving the information from the gyroscope sensor, and by calculating the fuel economy according to the inclination angle through this, it can be seen that the fuel economy is generally improved when it is downhill than when it is uphill for the same inclination angle.

Referring to FIG. 4, it shows the fuel economy estimation according to the excel opening amount collected by the high-speed digital driving recorder 100, and FIG. 4(a) is the fuel efficiency according to the excel opening amount, and (b) is the number of gear stages. It is fuel economy according to. Here, the fuel economy for the excel opening amount increases as the excel opening amount increases, and the fuel economy according to the number of gear stages also tends to increase. It can be seen that it has a high impact on.

Referring to FIG. 5, the fuel economy estimation according to the engine speed collected by the high-speed digital driving recorder 100 is shown, and FIG. 5(a) is the fuel efficiency according to the engine speed for all gears, (b ) Is the fuel economy according to the engine speed with the gear set to D6. Here, it was confirmed that the maximum fuel economy was obtained when the optimum engine rotation speed was 200 ~ 300 rpm for all gear stages, and the same result was obtained in the fixed gear stage (D6). Therefore, at the optimum engine speed, the maximum torque is generated, and thus it can be confirmed that the best fuel economy can be obtained even during acceleration.

Referring to Figure 6, it shows the fuel economy estimation according to the vehicle speed collected by the high-speed digital driving recorder 100, Figure 6 (a) is the fuel efficiency according to the vehicle speed for all gears, (b) is It is fuel economy according to the vehicle speed with the gear set to D6. Here, there is a similar tendency for all gear stages and fixed gear stages (D6), and it can be seen that the acceleration/deceleration of the speed at low speed is relatively higher than at the high speed, and fuel economy effect due to acceleration/deceleration is large.

Referring to FIG. 7, the fuel consumption estimation according to the accumulated fuel consumption and the accumulated travel distance collected by the high-speed digital driving recorder 100 is shown. FIG. 8A is the accumulated fuel consumption during driving time, ( b) is the accumulated fuel economy during the driving time. Finally, the accumulated fuel consumption was calculated and visualized using the accumulated fuel consumption and the accumulated travel distance according to the driving time, and through this, it can be confirmed that instant fuel efficiency calculation is possible by setting appropriate time intervals as well as the accumulated fuel efficiency.

As described above, preferred embodiments of the present invention have been described with reference to the drawings, but those of ordinary skill in the art, the present invention within the scope not departing from the spirit and scope of the present invention described in the following claims. Can be modified or changed in various ways.

10: Fuel efficiency estimation system based on high-speed digital driving recorder
100: high-speed digital driving recorder 110: processor
120: driving information collection unit 130: other information unit
140: location information unit 150: acceleration/gyro information unit
160: communication linking unit 170: data storage unit
180: safety function unit

Claims (1)

As a vehicle fuel efficiency estimation system,
Including a high-speed digital driving recorder that collects travel distance, vehicle mass, horizontal travel distance, vehicle acceleration and inclination angle,
A fuel economy estimation system based on a high-speed digital driving recorder that estimates fuel economy according to Equations 1 and 2 below.
[Equation 1]

[Equation 2]

Here, η is fuel economy (km/l), S is travel distance (km), E _fuel is used fuel energy (J), ρ _fuel is fuel density (kg/l), q _fuel is combustion energy per unit mass (J / ㎏), m is vehicle mass (㎏), r is the horizontal distance traveled (m), a vehicle acceleration (m / s ^2), θ is the inclination angle (rad), μ _k is the dynamic friction coefficient, g is the gravity acceleration (m/s ² ), sgn(·) is a sign function,
The sgn is a positive number when θ>0, and a negative number when θ<0.

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