KR101526431B1 - Apparatus and method for estimating fuel efficiency of vehicle - Google Patents
Apparatus and method for estimating fuel efficiency of vehicle Download PDFInfo
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- KR101526431B1 KR101526431B1 KR1020140057984A KR20140057984A KR101526431B1 KR 101526431 B1 KR101526431 B1 KR 101526431B1 KR 1020140057984 A KR1020140057984 A KR 1020140057984A KR 20140057984 A KR20140057984 A KR 20140057984A KR 101526431 B1 KR101526431 B1 KR 101526431B1
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- 239000000446 fuel Substances 0.000 title claims abstract description 148
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000007726 management method Methods 0.000 claims abstract description 19
- 239000000284 extract Substances 0.000 claims description 7
- 238000007689 inspection Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 abstract description 4
- 230000001133 acceleration Effects 0.000 description 8
- 102100034112 Alkyldihydroxyacetonephosphate synthase, peroxisomal Human genes 0.000 description 6
- 101000799143 Homo sapiens Alkyldihydroxyacetonephosphate synthase, peroxisomal Proteins 0.000 description 6
- 238000000848 angular dependent Auger electron spectroscopy Methods 0.000 description 6
- 230000000052 comparative effect Effects 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 238000004891 communication Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
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- 238000005259 measurement Methods 0.000 description 1
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60K—ARRANGEMENT OR MOUNTING OF PROPULSION UNITS OR OF TRANSMISSIONS IN VEHICLES; ARRANGEMENT OR MOUNTING OF PLURAL DIVERSE PRIME-MOVERS IN VEHICLES; AUXILIARY DRIVES FOR VEHICLES; INSTRUMENTATION OR DASHBOARDS FOR VEHICLES; ARRANGEMENTS IN CONNECTION WITH COOLING, AIR INTAKE, GAS EXHAUST OR FUEL SUPPLY OF PROPULSION UNITS IN VEHICLES
- B60K35/00—Instruments specially adapted for vehicles; Arrangement of instruments in or on vehicles
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- B60W2530/145—
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- Combustion & Propulsion (AREA)
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- Mechanical Engineering (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
Description
An apparatus and method for estimating fuel economy of a vehicle are provided.
Conventionally, the fuel consumption is measured based on the amount of gasoline and the distance traveled by the vehicle. This method uses the actual driving information of the vehicle, so that the fuel consumption can be measured relatively accurately and the fuel consumption can be predicted by using the fuel consumption measurement value calculated based on the actual driving information of the vehicle. However, since the fuel consumption of the vehicle is different depending on the model year of the vehicle, the driving habits of the driver, and the state of components (controller) in the vehicle, the method of calculating the fuel consumption using only the traveling information of the vehicle is less accurate . In addition, since it takes a considerable amount of time to collect the actual running information, it is difficult to estimate the fuel consumption of the vehicle during the actual running information collection period, and accordingly it is difficult to properly manage the vehicle in response to the fuel efficiency drop.
An object to be solved by one embodiment of the present invention is to provide an apparatus and method for estimating the fuel consumption of a vehicle based on driving information and state information collected from a plurality of vehicles.
Embodiments according to the present invention can be used to accomplish other tasks not specifically mentioned other than the above-described tasks.
According to an embodiment of the present invention, there is provided a vehicular drive system including a data collecting unit for collecting driving information, state information, and unique information from a plurality of vehicles including a first vehicle, A similarity group extraction unit for extracting a similar group that is a set of vehicles similar to the first vehicle among the plurality of vehicles based on the operation index and the status information, A fuel consumption predicting unit for predicting the fuel consumption of the first vehicle based on the driving information and the unique information of the group, and a vehicle management guidance unit for guiding the vehicle management method or the driving improvement method of the first vehicle based on the fuel consumption prediction result The present invention proposes an apparatus for estimating the fuel economy of a vehicle.
Here, the driving information includes actual fuel consumption information, and the similar group extracting unit extracts a driving group similarity group for extracting a first group, which is a group of vehicles similar to the first vehicle, among the plurality of vehicles based on the driving index And a vehicle state similar group extracting unit for extracting a second group that is a set of vehicles similar to the first vehicle in the first group based on the state information, The fuel consumption of the first vehicle can be predicted based on the fuel consumption information and the unique information.
Also, the driving information includes actual fuel consumption information, and the similar group extracting unit extracts a driving group similarity group for extracting a first group, which is a group of vehicles similar to the first vehicle, among the plurality of vehicles based on the driving index And a vehicle state similarity group extracting unit that extracts a second group that is a set of vehicles similar to the first vehicle among the plurality of vehicles based on the status information, The fuel consumption of the first vehicle can be predicted based on the actual fuel mileage information and the unique information of the group.
In addition, the driving information is driving related information of the vehicle, the state information is component related information that affects the fuel efficiency of the vehicle, and the unique information may be basic information of the vehicle.
The vehicle management guidance unit may guide the inspection or replacement of parts that affect the fuel economy of the first vehicle, or guide the driving method of the first vehicle.
According to an embodiment of the present invention, there is provided an information processing method including the steps of collecting driving information, state information, and unique information from a plurality of vehicles including a first vehicle, Extracting a first group which is a set of vehicles similar to the operating index of the first vehicle based on the operating indexes of the plurality of vehicles, Extracting a second group which is a set of vehicles similar to the state information of the first vehicle, predicting the fuel economy of the first vehicle based on the second group of travel information and the unique information, And analyzing the fuel economy improvement method of the first vehicle based on the prediction result.
Here, the driving information includes actual fuel consumption information, and the fuel consumption prediction step may predict the fuel consumption of the first vehicle based on the actual fuel mileage information and the unique information of the second group.
According to an embodiment of the present invention, there is provided an information processing method including the steps of collecting driving information, state information, and unique information from a plurality of vehicles including a first vehicle, Extracting a first group which is a set of vehicles similar to the operation index of the first vehicle based on the operation indexes of the plurality of vehicles, Extracting a second group which is a set of vehicles similar to the state information of the first vehicle, predicting the fuel consumption of the first vehicle based on the driving information and the unique information of the first group or the second group, And analyzing the fuel economy improvement method of the first vehicle based on the fuel economy prediction result of the first vehicle.
Here, the driving information includes actual fuel consumption information, and the fuel consumption prediction step may predict the fuel consumption of the first vehicle based on the actual fuel consumption information and the unique information of the first group or the second group.
Further, the analysis of the fuel consumption improvement method may guide the inspection or replacement of the parts affecting the fuel consumption of the first vehicle, or may guide the driving method of the first vehicle.
According to one embodiment of the present invention, the fuel consumption of the vehicle can be predicted accurately in consideration of the driving habit of the vehicle driver and the current state of the vehicle. Further, by providing the driver with the vehicle management method and the driving method on the basis of the fuel consumption prediction data of the vehicle, the driver can improve the efficiency of vehicle management and operation, and reduce the cost required for vehicle management and maintenance.
1 is an apparatus for estimating the fuel consumption of a vehicle according to a first embodiment of the present invention.
2 is a method for estimating the fuel economy of a vehicle according to the first embodiment of the present invention.
FIG. 3 is a fuel consumption comparative graph according to the first embodiment of the present invention. FIG.
4 is a fuel consumption comparison graph according to a second embodiment of the present invention.
5 is an apparatus for estimating the fuel consumption of a vehicle according to a second embodiment of the present invention.
6 is a method for estimating the fuel economy of a vehicle according to the second embodiment of the present invention.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Whenever a component is referred to as "including" an element throughout the specification, it is to be understood that the element may include other elements, not the exclusion of any other element, unless the context clearly dictates otherwise. Also, the term "part" in the description means a unit for processing at least one function or operation, which may be implemented by hardware, software, or a combination of hardware and software.
Throughout the specification, "driving information " refers to driving related information of the vehicle, and includes information such as the number of times of operation, the driving distance, the driving time, the driving speed, the number of times of using the driving mode, acceleration / deceleration, idling or actual fuel consumption.
The term "state information" throughout the specification refers to the in-vehicle controller, that is, the component-related information that affects the fuel efficiency of the vehicle, and includes information such as the type, state, wear degree, or deterioration degree of the component.
In the specification, "unique information" means basic information of the vehicle and includes information such as model year, model, date of registration, fuel type, or amount of displacement.
1 is an apparatus for estimating the fuel consumption of a vehicle according to a first embodiment of the present invention.
1, a vehicle fuel
The
The driving
The similarity
The driving index similarity group extracting unit 13-1 extracts a vehicle including a driving index similar to the driving index of the
The vehicle state similarity group extracting unit 13-2 extracts a vehicle including state information that is the same as or similar to the state information of the
The fuel
The vehicle management guidance unit (15) transmits the vehicle management method to the first vehicle (20) based on the fuel consumption prediction result of the fuel consumption prediction unit (14). For example, when the fuel efficiency of the
The vehicle management guide unit (15) transmits the vehicle driving method to the first vehicle (20) based on the fuel consumption prediction result of the fuel consumption prediction unit (14). For example, when the fuel efficiency of the
The
2 is a method for estimating the fuel economy of a vehicle according to the first embodiment of the present invention.
First, the driving information and the status information are collected from the
Then, the operating index is calculated based on the driving information of the
Table 1 below is an example of calculating the operation index average value and the standard deviation of the plurality of vehicles and the operation index of the
Driving Information
Then, a similar group of the
Step S30 includes a step S31 of generating a first group including a running index similar to the running index of the
The step S30 may perform the step S32 or the steps S31 and S32 based on the result of the step S31.
For example, if it is determined in step S31 that the operation index similarity degree determination range is set to the " operation index +/- 5 ", the
Table 2 below is an example showing the state values of the second vehicle included in the first group and the state values of the first vehicle at a specific time point.
Specifically, in step S32, the total durability of the five components A, B, C, D, and E that affect the fuel consumption can be calculated by applying weight values for each component set in advance for the first vehicle and the second vehicle . Further, a second group is generated by extracting a vehicle whose state information is similar to that of the first vehicle in the first group based on the similarity determination criterion (range) of the preset overall durability.
A method of performing steps S31 and S32 will be described. In step S31, a vehicle having a similar operation index to the
At this time, the similarity determination criterion or range of steps S31 and S32 may be preset by the driver through the terminal or mobile in the vehicle, or may be provided from the vehicle management center at the remote place.
Then, the fuel consumption of the
FIG. 3 is a fuel consumption comparative graph according to the first embodiment of the present invention. FIG.
3 is a graph comparing fuel consumption of the second group and the first vehicle based on the result of performing step S32 based on the result of step S31 in step S30.
In FIG. 3, the graph A is an average fuel efficiency graph of the second group based on the travel distance, and the graph B is a fuel consumption forecast graph of the
4 is a fuel consumption comparison graph according to a second embodiment of the present invention.
4 is a graph comparing the fuel consumption of the third group, the fourth group, and the first vehicle based on the result of performing the steps S31 and S32 in step S30.
In FIG. 4, the graph C is the upper 10% average fuel efficiency graph in the third driving range reference, Graph D is the upper 10% average fuel consumption graph in the fourth driving range reference graph, ). In this case, the graph E is calculated by using the average fuel efficiency graphs of the graphs C and D, but the present invention is not limited thereto. It is also possible to calculate the graph E based on the graph of either the graph C or the graph D have.
The fuel consumption comparison graphs of FIGS. 3 and 4 are based on the driving distance, but the present invention is not limited thereto. The fuel consumption comparison graph may be calculated based on the running time or the running time based on the registration date.
Returning to the description of FIG. 2, the fuel efficiency performance of the
As a result of determining the fuel efficiency of the
The method based on the state information of the
Table 3 below is an example of how to set the operating mode corresponding to the problem parts.
For example, to improve the fuel economy of the
The method based on the driving information of the
Table 4 below is an example of comparison of driving information between the first vehicle and the second vehicle. At this time, it is assumed that the second vehicle has higher fuel efficiency than the first vehicle, and the second vehicle may be a plurality of vehicles having higher fuel economy than the first vehicle.
Driving Information
For example, in Table 4, it can be seen that the acceleration / deceleration index of the first vehicle is higher than that of the second vehicle and the idling time is longer. If the acceleration / deceleration index and the idling time are equal to or greater than a preset threshold value, To the driver of the
Table 5 below shows an example of how to improve driving habits according to the results of the comparison of driving information.
The operating mode setting method of Table 3 and the operating habit improvement method of Table 5 are provided from the remote vehicle management center and can be updated periodically.
5 is an apparatus for estimating the fuel consumption of a vehicle according to a second embodiment of the present invention.
5, a vehicle fuel
The function of each component of the vehicle fuel
6 is a method for estimating the fuel economy of a vehicle according to the second embodiment of the present invention.
The method of estimating the vehicle fuel consumption of FIG. 6 is divided into the fuel
While the present invention has been particularly shown and described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It belongs to the scope.
10: fuel efficiency estimating device 11: data collecting part
12: operation index calculating unit 13: similar group extracting unit
13-1: Operation index similarity group extracting unit 13-2: Vehicle state similarity group extracting unit
14: Fuel economy prediction unit 15: Vehicle management information unit
16:
Claims (10)
An operating index calculating unit for calculating an operating index of each of the plurality of vehicles based on the operating information,
A similar group extracting unit for extracting a similar group that is a set of vehicles similar to the first vehicle among the plurality of vehicles based on the operation index and the status information,
A fuel consumption predicting unit for predicting fuel consumption of the first vehicle based on the driving information and the unique information of the similar group,
And a vehicle management information unit that guides the vehicle management method or the operation improvement method of the first vehicle based on the fuel economy prediction result.
The driving information includes actual fuel consumption information,
Wherein the similarity group extracting unit includes: a travel exponent group extracting unit for extracting a first group, which is a set of vehicles similar to the first vehicle, among the plurality of vehicles based on the travel index; A vehicle state similar group extracting unit that extracts a second group that is a set of vehicles similar to the first vehicle,
Wherein the fuel consumption predicting unit predicts the fuel consumption of the first vehicle based on the actual fuel efficiency information of the second group and the unique information.
The driving information includes actual fuel consumption information,
Wherein the similarity group extracting unit comprises: an operation index similar group extracting unit for extracting a first group, which is a group of vehicles similar to the first vehicle, among the plurality of vehicles based on the operation index; A vehicle state similar group extracting unit that extracts a second group that is a set of vehicles similar to the first vehicle among the plurality of vehicles,
Wherein the fuel consumption predicting unit predicts the fuel consumption of the first vehicle based on the actual fuel mileage information and the unique information of the first group or the second group.
Wherein the driving information is driving related information of the vehicle, the state information is information related to parts that affects the fuel efficiency of the vehicle, and the unique information is basic information of the vehicle.
Wherein the vehicle management guidance unit guides the inspection or replacement of parts that affect fuel economy of the first vehicle or guides the driving method of the first vehicle.
Calculating a driving index of each of the plurality of vehicles based on the driving information,
Extracting a first group that is a set of vehicles similar to the running index of the first vehicle based on the running index of the plurality of vehicles,
Extracting a second group which is a set of vehicles similar to the state information of the first vehicle based on the state information of the first group,
Predicting the fuel economy of the first vehicle based on the driving information and the unique information of the second group, and
And analyzing the fuel economy improvement method of the first vehicle based on the fuel economy prediction result of the first vehicle.
The driving information includes actual fuel consumption information,
Wherein the fuel consumption prediction step predicts the fuel consumption of the first vehicle based on the actual fuel mileage information and the unique information of the second group.
Calculating a driving index of each of the plurality of vehicles based on the driving information,
Extracting a first group that is a set of vehicles similar to the running index of the first vehicle based on the running index of the plurality of vehicles,
Extracting a second group which is a set of vehicles similar to the state information of the first vehicle based on the state information of the plurality of vehicles,
Predicting the fuel economy of the first vehicle based on the driving information and the unique information of the first group or the second group, and
And analyzing the fuel economy improvement method of the first vehicle based on the fuel economy prediction result of the first vehicle.
The driving information includes actual fuel consumption information,
Wherein the fuel consumption predicting step predicts the fuel economy of the first vehicle based on the actual fuel mileage information and the unique information of the first group or the second group.
Wherein the fuel consumption improvement method analysis step guides the inspection or replacement of parts affecting the fuel consumption of the first vehicle or guides the driving method of the first vehicle.
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Cited By (9)
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WO2021045651A1 (en) | 2019-09-04 | 2021-03-11 | Общество с ограниченной ответственностью "АРТИФЛИТ" | Generating an energy-efficient vehicle path |
RU2764469C1 (en) * | 2021-06-01 | 2022-01-17 | Осаюхинг Омникомм | System for forming the adjusting power-efficient track of an operated vehicle |
RU2771591C1 (en) * | 2021-05-14 | 2022-05-06 | Общество С Ограниченной Ответственностью "Омникомм Онлайн" | User device for generating a graphical user interface |
RU2777860C1 (en) * | 2021-12-22 | 2022-08-11 | Общество С Ограниченной Ответственностью "Омникомм Онлайн" | Method for forming modified energy efficient track of operating vehicle and machine readable data carrier |
WO2023282798A1 (en) * | 2021-12-06 | 2023-01-12 | "Omnicomm Online" Limited Liability Company | System for generating a recuperation energy-efficient track for the vehicle |
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WO2023106970A1 (en) * | 2021-12-07 | 2023-06-15 | "Omnicomm Online" Limited Liability Company | Method for generating an energy-efficient track for a vehicle |
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