WO2010113246A1

WO2010113246A1 - Fuel consumption estimating device fuel consumption estimating method, fuel consumption estimating program and recording medium

Info

Publication number: WO2010113246A1
Application number: PCT/JP2009/056630
Authority: WO
Inventors: 隆一郎森岡; 要一伊藤; 光男安士; 雅俊柳平
Original assignee: パイオニア株式会社
Priority date: 2009-03-31
Filing date: 2009-03-31
Publication date: 2010-10-07
Also published as: JP5312574B2; JPWO2010113246A1

Abstract

Disclosed is a fuel consumption estimating device (100) that acquires a coefficient based on the amount of fuel consumed when a vehicle is stationary and the engine is in an operable state as a first fuel consumption information item (k₁), acquires a coefficient based on fuel consumption when the vehicle is accelerating as a second fuel consumption information item (k₂), and acquires a coefficient based on air resistance and rolling resistance generated when the vehicle is moving as a third fuel consumption information item (k₃). A variable acquisition unit (102) acquires the velocity and acceleration when the vehicle is moving as a variable relating to the second fuel consumption information item and the third consumption information item. A fuel consumption estimation unit (104) employs a single fuel consumption estimation system to estimate the fuel consumption of the vehicle on the basis of the acquired coefficients, velocity and acceleration.

Description

Fuel consumption estimation device, fuel consumption estimation method, fuel consumption estimation program, and recording medium

The present invention relates to a fuel consumption estimation device, a fuel consumption estimation method, a fuel consumption estimation program, and a recording medium for estimating fuel consumption of a vehicle. However, the use of the present invention is not limited to the above-described fuel consumption estimation device, fuel consumption estimation method, fuel consumption estimation program, and recording medium.

Conventionally, various methods have been devised in order to estimate the fuel consumption of a vehicle during actual driving (see, for example, Non-Patent Document 1 below). In the following Non-Patent Document 1, when determining the fuel consumption during actual traveling of the vehicle, the traveling sections are modeled and independent calculation formulas are derived for the respective sections. Then, using these equations, the fuel consumption is estimated by using the following regression equation.
During acceleration: FC = 0.5119 × a + 0.2858
Regular: FC = 0.00259 × V2 + 0.1808
During deceleration: FC = 0.0261 × a + 0.2848
When idling: FC = 0.258
Here, FC is fuel consumption per unit time (cc / s), V is average speed (m / s), and a is acceleration (m / s2).

Generally, a regression equation in which various factors are parameterized is used for estimating the fuel consumption, but the number of coefficients and the number of parameters need to be appropriate numbers. In particular, when the above-described various factors (vehicle speed, etc.) relating to vehicle travel are used as parameters in estimating the fuel consumption of the vehicle, there is a considerable correlation between these parameters, and there are relatively many. It is difficult to use this coefficient in the regression equation.

For this reason, in the above-described conventional technology, there is a problem that an error between the estimated fuel consumption and the actual fuel consumption is large. That is, in the above-described prior art, only the average speed and acceleration are used as parameters, and although the number of parameters is small, the coefficient to be obtained is relatively large, and the accuracy of the calculation result may not be maintained.

On the other hand, if the number of parameters is increased, the accuracy of the required coefficient can be easily ensured, but if the number of parameters in the regression equation is too large, the calculation result will not be stable. As described above, in order to accurately estimate fuel consumption using a simple regression equation that is close to the actual driving situation, it is indispensable that both the number of parameters and the number of coefficients are compatible. Is given as an example.

In the prior art, the regression section is applied by dividing the traveling section for estimating the fuel consumption into a plurality of sections according to the traveling state of the vehicle, but acceleration and deceleration are performed in a short period during actual traveling. Make various changes. For this reason, the problem that the above-mentioned model is not always applicable as it is at the time of actual traveling is given as an example.

In the prior art, only one type of coefficient obtained by a regression equation is disclosed, but this coefficient is not necessarily optimal for other vehicle types. Therefore, when the above regression equation is applied to other vehicle types as they are, there is a problem that an error between the estimated fuel consumption amount and the actual fuel consumption amount may increase depending on the vehicle type.

In order to solve the above-described problems and achieve the object, a fuel consumption estimation device according to the invention of claim 1 includes first fuel consumption information relating to the stop of the vehicle in a state where the engine is operating, and a first fuel consumption information relating to the acceleration of the vehicle. Based on a single fuel estimation formula consisting only of two fuel consumption information and third fuel consumption information relating to resistance generated when the vehicle travels, a fuel consumption amount per unit time during travel of the vehicle is estimated .

A fuel consumption estimation apparatus according to a twelfth aspect of the present invention is a fuel consumption estimation apparatus that estimates the fuel consumption of a vehicle, wherein a coefficient k ₁ based on fuel consumption when the vehicle is stopped when the engine is in motion, A holding means for storing in advance a coefficient k ₂ based on fuel consumption at the time of acceleration and a coefficient k ₃ based on air resistance and rolling resistance of the vehicle, detection means for detecting the vehicle speed of the vehicle, and storage in the holding means. Using the coefficients k ₁ , k ₂ , k ₃ and the vehicle speed of the vehicle detected by the detection means, an instantaneous fuel consumption estimation means for calculating an instantaneous fuel consumption estimation amount fc according to the following equation (2):
A fuel consumption estimation device comprising:
Instantaneous fuel consumption estimation amount fc (x) = k ₁ + k ₂ · f ₁ (x) + k ₃ · f ₂ (x) (2)
Here, f ₁ (x): a predetermined function using the vehicle speed and acceleration of the vehicle as parameters, and f ₂ (x): a predetermined function using the vehicle speed of the vehicle as parameters.

According to a thirteenth aspect of the present invention, there is provided a fuel consumption estimation method comprising: first fuel consumption information related to idling of a vehicle; second fuel consumption information related to acceleration of the vehicle; and third fuel related to resistance generated during travel of the vehicle. The fuel consumption per unit time when the vehicle is running is estimated on the basis of consumption information and a single fuel estimation formula consisting only of the consumption information.

Further, a fuel consumption estimation program according to the invention of claim 17 causes a computer to execute the fuel consumption estimation method according to any one of claims 13 to 16.

Further, a recording medium according to the invention of claim 18 is characterized in that the fuel consumption estimation program according to claim 17 is recorded in a computer-readable state.

FIG. 1 is a block diagram illustrating a functional configuration of the fuel consumption estimation apparatus according to the embodiment. FIG. 2 is a flowchart showing a procedure of fuel consumption estimation processing by the fuel consumption estimation device. FIG. 3 is a block diagram illustrating a hardware configuration of the navigation apparatus. FIG. 4 is an explanatory diagram showing a coefficient table held by the navigation device. FIG. 5 is a graph showing the relationship between the coefficient k ₁ and the displacement. FIG. 6 is a graph showing the relationship between the coefficient k ₂ and the vehicle weight. FIG. 7 is a graph showing the relationship between the coefficient k ₃ and the displacement. FIG. 8 is an explanatory diagram schematically showing acceleration applied to a vehicle traveling on a road having a gradient. FIG. 9 is a flowchart showing a procedure of fuel consumption estimation processing by the navigation device.

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Fuel consumption estimation apparatus 101 Coefficient acquisition part 102 Variable acquisition part 103 Gradient information acquisition part 104 Fuel consumption estimation part 105 Actual fuel consumption amount information acquisition part 106 Correction | amendment part 110 Database

Hereinafter, preferred embodiments of a fuel consumption estimation device, a fuel consumption estimation method, a fuel consumption estimation program, and a recording medium according to the present invention will be described in detail with reference to the accompanying drawings.

(Embodiment)
FIG. 1 is a block diagram illustrating a functional configuration of the fuel consumption estimation apparatus according to the embodiment. The fuel consumption estimation device 100 includes a coefficient acquisition unit 101, a variable acquisition unit 102, a fuel consumption estimation unit 104, and a database 110. The fuel consumption estimation device 100 includes first fuel consumption information related to when the vehicle is stopped when the vehicle engine is in motion, and the vehicle. The fuel per unit time when the vehicle travels based on a single fuel estimation formula consisting of the second fuel consumption information regarding the acceleration of the vehicle and the third fuel consumption information regarding the resistance generated when the vehicle travels Estimate consumption.

Here, “based on a single fuel estimation formula” means that the fuel estimation formula is not applied to each state of the vehicle travel section (during idling, acceleration, etc.), but rather to the above state of the vehicle. Regardless, it means that the same fuel estimation formula is used. Further, “when the vehicle is stopped in a state where the vehicle engine is moving” means a so-called idling time, and includes, for example, a time before starting the engine and a stop by a signal. . In other words, the third fuel consumption information is a value obtained by subtracting the first fuel consumption information and the second fuel consumption information from the total fuel consumption per unit time. It is also information about fuel consumption.

In addition, the fuel consumption estimation apparatus 100 may further include a gradient information acquisition unit 103, an actual fuel consumption amount information acquisition unit 105, a correction unit 106, and the like as appropriate. “Comprising only” means that the fuel consumption is substantially estimated using coefficients and variables based only on this information, and the relative importance is within a range not departing from this gist. It includes a form in which other low information is added.

The coefficient acquisition unit 101 acquires a coefficient based on the fuel consumption at the time of idling of the vehicle as first fuel consumption information, acquires a coefficient based on the fuel consumption at the time of acceleration of the vehicle as second fuel consumption information, and travels the vehicle A coefficient based on the air resistance and rolling resistance that occur at times is acquired as third fuel consumption information. Here, the first fuel consumption information is a coefficient k ₁ in formula (1) described later, the second fuel consumption information is a coefficient k ₂ in formula (1), and the third fuel consumption information is in formula (1). Information corresponding to each coefficient k ₃ .

The coefficient acquisition unit 101 acquires the coefficients by reading the above three types of coefficients from the database 110 (holding means) in which the respective coefficients are recorded, for example. The database 110 may be provided outside the fuel consumption estimation apparatus 100.

The database 110 records the above three types of coefficients in, for example, vehicle types (if the same vehicle type has different coefficients depending on the format, the format is different). A constant obtained by a predetermined calculation formula may be recorded as necessary. In this case, the coefficient acquisition unit 101 selects and acquires a coefficient suitable for the vehicle type of the vehicle. In addition, since the database 110 records the displacement information and vehicle weight information of each vehicle type, the coefficient acquisition unit 101 may select a coefficient that matches the displacement and vehicle weight of the vehicle. Further, since the database 110 records mode fuel efficiency information of each vehicle type, the coefficient acquisition unit 101 may select a coefficient that matches the mode fuel efficiency of the vehicle. The mode fuel efficiency is the fuel efficiency when traveling under a predetermined condition defined in advance, and 10 mode fuel efficiency, 15 mode fuel efficiency, JC08 mode fuel efficiency, and the like are known.

The variable acquisition unit 102 acquires the speed and acceleration when the vehicle is traveling as variables relating to the second fuel consumption information and the third fuel consumption information. The variable acquisition unit 102 acquires, for example, speed information and acceleration information output from a speed sensor or an acceleration sensor installed in the vehicle body. In addition, when the fuel consumption estimation apparatus 100 is provided with the speed sensor and the acceleration sensor, you may acquire speed information and acceleration information from these sensors. Further, for example, the variable acquisition unit 102 itself may be able to measure (or calculate) the speed and acceleration (detecting means).

The gradient information acquisition unit 103 acquires gradient information indicating the degree of gradient of the road on which the vehicle travels. For example, the gradient information acquisition unit 103 acquires gradient information from an inclinometer installed in the vehicle main body, the fuel consumption estimation device 100, or the like. Further, for example, the gradient information acquisition unit 103 itself may measure (or calculate) the gradient of the road, or may extract gradient information from map information corresponding to the current position of the vehicle. Moreover, you may calculate the fuel consumption of the area with a gradient using the altitude information in map information.

The fuel consumption estimation unit 104 estimates the fuel consumption of the vehicle by using a single fuel estimation formula based on the coefficient acquired by the coefficient acquisition unit 101 and the speed and acceleration acquired by the variable acquisition unit 102. Further, the fuel consumption estimation unit 104 may further estimate the fuel consumption of the vehicle by incorporating the gradient information acquired by the gradient information acquisition unit 103 into a single fuel estimation formula. More specifically, the fuel consumption estimation unit 104 estimates the fuel consumption of the vehicle based on the following formula (1) as a single fuel estimation formula.

In the above formula (1), k ₁ corresponds to the first fuel consumption information, k ₂ corresponds to the second fuel consumption information, and k ₃ corresponds to the third fuel consumption information. Further, in the above formula (1), time (h) and second (s) are mixedly used as a unit representing time, but this employs speed (km / h) as a unit of speed. This is because the second (s) is adopted as the unit time for estimating the fuel consumption. When it is desired to align these units, an appropriate calculation may be performed on each numerical value.

In the above equation (1), if any of the following conditions is satisfied due to the influence of the fuel cut, the value of fc may be set to [1] to [3] below.

Moreover, the said Formula (1) can also be represented like the following formula (I). In the following formula (I), f ₁ (x) is a predetermined function using the vehicle speed and acceleration of the vehicle as parameters, and f ₂ (x) is a predetermined function using the vehicle speed of the vehicle as parameters. More specifically, f ₁ (x) is x · (dx / dt + g · sin θ) in the above equation (1), and f ₂ (x) is G (x) in the above equation (1).
fc (x) = k ₁ + k ₂ · f ₁ (x) + k ₃ · f ₂ (x) (I)

The actual fuel consumption amount information acquisition unit 105 acquires actual fuel consumption amount (hereinafter referred to as “actual fuel consumption amount”) information when the vehicle is traveling. The actual fuel consumption amount information acquisition unit 105 acquires the actual fuel consumption amount information by, for example, causing the user to input the actual fuel consumption amount or obtaining a measurement value obtained by a fuel consumption meter mounted on the vehicle.

The correction unit 106 corrects the above equation (1) based on the actual fuel consumption amount information acquired by the actual fuel consumption amount information acquisition unit 105. When the equation (1) is corrected by the correction unit 106, the fuel consumption estimation unit 104 estimates the fuel consumption using the corrected equation (1). The correction of the expression (1) by the correction unit 106 may be performed after the vehicle has finished traveling, or may be performed at any time during the traveling of the vehicle with a predetermined traveling section as a break.

The correction unit 106 corrects the above formula (1) based on, for example, the comparison value between the fuel consumption estimated by the fuel consumption estimation unit 104 and the actual fuel consumption and the traveling state of the vehicle during traveling. The traveling state of the vehicle is, for example, whether the vehicle has traveled at a high speed, traveled at a low speed, or traveled in a traffic jam. In addition, although the driving | running | working state of a vehicle changes every moment, the correction | amendment part 106 is based on the said formula (1) based on the state which occupied the largest ratio in the driving | running | working area where the actual fuel consumption amount information was obtained, for example. ) Is corrected.

Moreover, the correction | amendment part 106 correct | amends said Formula (1) based on the comparison value of the fuel consumption estimated by the fuel consumption estimation part 104 and an actual fuel consumption, and the classification of the road which the vehicle drive | worked, for example. . The type of road is, for example, a general road or a highway. Although the road type on which the vehicle travels changes every moment, the correction unit 106 is based on, for example, the type of road that has traveled for the longest time in the travel section where the actual fuel consumption amount information is obtained. The above equation (1) is corrected.

FIG. 2 is a flowchart showing a procedure of fuel consumption estimation processing by the fuel consumption estimation device. In the flowchart of FIG. 2, the fuel consumption estimation apparatus 100 first acquires three types of coefficients from the database 110 by the coefficient acquisition unit 101 (step S201). Next, the fuel consumption estimation apparatus 100 acquires the speed and acceleration of the vehicle by the variable acquisition unit 102 (step S202). Subsequently, the fuel consumption estimation device 100 acquires the gradient information of the road on which the vehicle travels by the gradient information acquisition unit 103 (step S203).

And the fuel consumption estimation apparatus 100 estimates the fuel consumption of a vehicle based on the said Formula (1) by the fuel consumption estimation part 104 (step S204), and complete | finishes the process by this flowchart. Thereafter, the fuel consumption estimation apparatus 100 acquires the actual fuel consumption amount information by the actual fuel consumption amount information acquisition unit 105 as necessary, and the correction unit 106 corrects the expression (1).

As described above, the fuel consumption estimation device 100 uses the single fuel estimation formula that includes only information related to idling of the vehicle, information related to acceleration of the vehicle, and information related to resistance generated when the vehicle travels. Is based on a single fuel estimation formula consisting of a coefficient based on fuel consumption when the vehicle is idling, a coefficient based on fuel consumption when the vehicle is accelerated, a coefficient based on air resistance and rolling resistance generated when the vehicle is running Estimate the fuel consumption of the vehicle. For example, in the above-mentioned conventional technology, the travel section is divided and the fuel estimation formulas are established for each. However, since the acceleration section and the deceleration section are switched rapidly during actual travel, it is difficult to make the calculation for fuel estimation more efficient. It is. On the other hand, in the present embodiment, fuel estimation is performed by incorporating information relating to idling of a vehicle, information relating to acceleration, and information relating to resistance generated during traveling into a single fuel estimation formula. For this reason, the fuel consumption estimation apparatus 100 can estimate the fuel consumption during actual traveling of the vehicle with high accuracy and stability compared to the conventional calculation method.

Further, the fuel consumption estimation device 100 estimates the fuel consumption during actual traveling using a single fuel estimation formula. For this reason, it is not necessary to change the regression equation applied according to the traveling state of the vehicle, and fuel efficiency estimation with high practicality can be performed even during actual traveling where the traveling state changes in a short period of time.

Further, the fuel consumption estimation device 100 estimates the fuel consumption using the vehicle speed information and acceleration information. For this reason, the fuel consumption estimation apparatus 100 can reflect the change in the running speed or acceleration of the vehicle in the estimated value of the fuel consumption, and can estimate the fuel consumption more accurately. Furthermore, if the fuel consumption estimation apparatus 100 estimates the fuel consumption amount using the gradient information of the road on which the vehicle travels, the change in the potential energy applied to the vehicle can be reflected in the estimated value of the fuel consumption amount. The fuel consumption can be estimated with higher accuracy.

Also, road gradient information is a parameter that is not highly correlated with vehicle speed and acceleration. For example, the correlation of each parameter can be lowered by incorporating this road gradient information into information related to the acceleration of the vehicle. For this reason, the fuel consumption estimation apparatus 100 estimates the fuel consumption by using the gradient information of the road on which the vehicle travels, so that the estimation result is more reliable than when only the speed and acceleration are used as parameters. Can be obtained.

In addition, since the fuel consumption estimation device 100 estimates the fuel consumption per unit time, in addition to the instantaneous fuel consumption, it is possible to calculate a section fuel consumption amount, an average fuel consumption amount, an integrated fuel consumption amount, and the like in an arbitrary section. The amount of fuel consumed can be presented to the user in an easily understandable form.

Further, since the fuel consumption estimation apparatus 100 records the coefficients used for estimating the fuel consumption in the database according to the vehicle type, the exhaust amount and the vehicle weight, and the mode fuel consumption, the fuel consumption is selected by selecting a more appropriate coefficient. Can be estimated.

In addition, since the fuel consumption estimation apparatus 100 corrects the mathematical formula used for estimating the fuel consumption using the actual fuel consumption information, the characteristics of the vehicle itself and the driving characteristics of the user are reflected when estimating the fuel consumption from the next time. Therefore, it is possible to estimate the fuel consumption with higher accuracy.

Hereinafter, examples of the present invention will be described. In the present embodiment, an example in which the present invention is applied using the navigation device 300 mounted on a vehicle as the fuel consumption estimation device 100 will be described.

(Hardware configuration of navigation device 300)
First, the hardware configuration of the navigation device 300 will be described. FIG. 3 is a block diagram illustrating a hardware configuration of the navigation apparatus. In FIG. 3, a navigation device 300 includes a CPU 301, ROM 302, RAM 303, magnetic disk drive 304, magnetic disk 305, optical disk drive 306, optical disk 307, audio I / F (interface) 308, microphone 309, speaker 310, input device 311, A video I / F 312, a display 313, a camera 314, a communication I / F 315, a GPS unit 316, and various sensors 317 are provided. Each component 301 to 317 is connected by a bus 320.

First, the CPU 301 governs overall control of the navigation device 300. The ROM 302 records programs such as a boot program and a route search program. The RAM 303 is used as a work area for the CPU 301. That is, the CPU 301 controls the entire navigation device 300 by executing various programs recorded in the ROM 302 while using the RAM 303 as a work area.

The magnetic disk drive 304 controls the reading / writing of the data with respect to the magnetic disk 305 according to control of CPU301. The magnetic disk 305 records data written under the control of the magnetic disk drive 304. As the magnetic disk 305, for example, an HD (hard disk) or an FD (flexible disk) can be used.

The optical disk drive 306 controls reading / writing of data with respect to the optical disk 307 according to the control of the CPU 301. The optical disk 307 is a detachable recording medium from which data is read according to the control of the optical disk drive 306. As the optical disc 307, a writable recording medium can be used. In addition to the optical disk 307, an MO, a memory card, or the like can be used as a removable recording medium.

Examples of information recorded on the magnetic disk 305 and the optical disk 307 include content data and map data. The content data is, for example, music data, still image data, moving image data, or the like. The map data includes background data that represents features (features) such as buildings, rivers, and the ground surface, and road shape data that represents the shape of the road. The map data consists of multiple data files divided by district. It is configured.

The voice I / F 308 is connected to a microphone 309 for voice input and a speaker 310 for voice output. The sound received by the microphone 309 is A / D converted in the sound I / F 308. From the speaker 310, a sound obtained by D / A converting a predetermined sound signal in the sound I / F 308 is output.

The input device 311 includes a remote controller, a keyboard, a touch panel, and the like provided with a plurality of keys for inputting characters, numerical values, various instructions, and the like. The input device 311 may be realized by any one form of a remote control, a keyboard, and a touch panel, but may be realized by a plurality of forms.

The video I / F 312 is connected to the display 313. Specifically, the video I / F 312 is output from, for example, a graphic controller that controls the entire display 313, a buffer memory such as a VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphic controller. And a control IC for controlling the display 313 based on the image data to be processed.

The camera 314 captures images inside or outside the vehicle. The image may be either a still image or a moving image. For example, a camera 314 captures a landscape or a feature outside the vehicle, a passenger inside the vehicle, etc., and the captured image is recorded on the magnetic disk 305 or the like via the video I / F 312. Recording is performed on a recording medium such as an optical disk 307.

The display 313 displays icons, cursors, menus, windows, or various data such as characters and images. On the display 313, the map data described above is drawn two-dimensionally or three-dimensionally. The map data displayed on the display 313 can be displayed with a mark representing the current position of the vehicle on which the navigation device 300 is mounted. The current position of the vehicle is calculated by the CPU 301. As the display 313, for example, a TFT liquid crystal display, an organic EL display, or the like can be used.

The communication I / F 315 is wirelessly connected to a communication network such as the Internet, and also functions as an interface between the communication network and the CPU 301. The communication I / F 315 transmits and receives data to and from nearby electronic devices by short-range communication such as infrared communication or Bluetooth (registered trademark). Further, the communication I / F 315 receives broadcast waves such as television and radio. Broadcast waves received by the communication I / F 315 are output as audio information and image information to the speaker 310 and the display 313 via the audio I / F 308 and the video I / F 312.

The GPS unit 316 receives radio waves from GPS satellites and outputs information indicating the current position of the vehicle. The output information of the GPS unit 316 is used when the CPU 301 calculates the current position of the vehicle together with output values of various sensors 317 described later. The information indicating the current position is information for specifying one point on the map data such as latitude / longitude and altitude.

The various sensors 317 output information for determining the position and behavior of the vehicle, such as a vehicle speed sensor, an acceleration sensor, and an angular velocity sensor. The output values of the various sensors 317 are used by the CPU 301 to calculate the current position of the vehicle and the amount of change in speed and direction.

The coefficient acquisition unit 101, variable acquisition unit 102, gradient information acquisition unit 103, fuel consumption estimation unit 104, actual fuel consumption amount information acquisition unit 105, correction unit 106, and database 110 of the fuel consumption estimation device 100 shown in FIG. The CPU 301 executes a predetermined program using the programs and data recorded in the ROM 302, RAM 303, magnetic disk 305, optical disk 307, etc. in the navigation device 300 shown in FIG. Realize the function.

(Outline of fuel consumption estimation by the navigation device 300)
Next, fuel consumption estimation processing by the navigation device 300 will be described. In the following description, “fuel consumption” and “fuel consumption” have the same meaning. In general, in order to know the fuel consumption amount of a vehicle, there are methods such as installing a dedicated device (retrofit) or using a fuel consumption meter mounted on the vehicle. When a dedicated device is installed, there are problems that the installation work is complicated, the space inside the vehicle is occupied by the device body, or the device cannot be installed when the signal from the injector cannot be obtained. Even when a fuel consumption meter is installed in the vehicle, only the average fuel consumption may be displayed and the instantaneous fuel consumption may not be known.

On the other hand, in the navigation device 300 of the present embodiment, the instantaneous fuel consumption amount (fuel consumption amount per unit time) while the vehicle on which the device is mounted is estimated and displayed on the display 313. Since the fuel consumption amount estimated by the navigation device 300 is an instantaneous fuel consumption amount, a fuel consumption amount (interval fuel consumption amount), an average fuel consumption amount, an integrated fuel consumption amount, and the like in an arbitrary section can also be calculated. Thus, according to the navigation apparatus 300, the user can know the fuel consumption of a vehicle, without requiring a special apparatus and complicated work.

Specifically, the navigation apparatus 300 estimates the instantaneous fuel consumption amount of the vehicle using the following formula (1).

In the above formula (1), time (h) and second (s) are mixedly used as a unit representing time, but this uses speed (km / h) as a unit of speed. This is because the second (s) is adopted as the unit time for estimating the fuel consumption. When it is desired to align these units, an appropriate calculation may be performed on each numerical value.

In the above formula (1), if any of the following conditions is satisfied due to the influence of the fuel cut, the value of fc is set as follows.

Here, the above [1] is a condition defined based on the idea that the estimated fuel consumption does not become a positive value or a negative value smaller than the idling consumption. Therefore, for example, when the estimated fuel consumption amount is a positive value or a negative value smaller than k _{1, the} fuel consumption amount estimated by the above [1] is k ₁ . Also, the above [2] and [3] are conditions defined for fuel consumption when the vehicle is decelerated. Depending on the type of vehicle, when there is no accelerator operation at the time of deceleration, the fuel is not sent to the engine, and when the actually measured fuel consumption amount differs from the estimated fuel consumption amount, it may be effective to correct using this condition. Note that the value of fc in the above [1] to [3] is an example, and is appropriately adjusted depending on the vehicle type.

In this case, the above [2] and [3] are particularly effective when the conditional expression does not include fc and it is desired to make a predetermined determination without obtaining a specific value of fc. For example, if the estimated fuel consumption amount is transmitted, such as a server performing such statistical processing, if processed and separated by a value and the other values of k ₁ ~ k _3, after k ₁ ~ k ₃ When the value of is updated, the amount of calculation is greatly reduced, and the recalculation of the conditional expression also reduces the load.

(About the coefficients k ₁ to k ₃ )
Next, the coefficients k ₁ to k ₃ in the above equation (1) will be described. FIG. 4 is an explanatory diagram showing a coefficient table held by the navigation device. In the coefficient table 400 shown in FIG. 4, a vehicle type name 401 for identifying the vehicle type of the vehicle and format information 402 indicating the format of each vehicle type are recorded, and coefficient values (k ₁ to 4) corresponding to each vehicle type and format are recorded. k ₃ ) 406 is recorded. Further, the displacement information 403, the vehicle weight information 404, and the mode fuel consumption information 405 are associated with each vehicle type name 401 and format information 402.

The coefficients k ₁ to k ₃ vary depending on the vehicle type and the format, and the navigation apparatus 300 reads the values of the coefficients k ₁ to k ₃ corresponding to the vehicle on which the apparatus is mounted from the coefficient table 400. Specifically, for example, when the vehicle type and type of the vehicle on which the device is mounted can be determined, the navigation device 300 selects a corresponding one from the vehicle type name 401 and the type information 402, and the vehicle type name 401 and The coefficient value associated with the format information 402 is read.

Further, when the vehicle type and type of the vehicle cannot be determined, the navigation device 300 selects the corresponding one from the displacement information 403 and the vehicle weight information 404 when the displacement and weight of the vehicle can be determined. The coefficient values associated with the displacement information 403 and the vehicle weight information 404 are read out. Further, when the approximate fuel efficiency of the vehicle can be determined, a corresponding one is selected from the mode fuel efficiency information 405 and the coefficient value associated with the mode fuel efficiency information 405 is read out.

Note that the above is an example in which the coefficient is read out using the displacement information and the approximate fuel consumption when the vehicle type and model of the vehicle cannot be identified, but is not particularly limited thereto. Even when the vehicle type and model of the vehicle can be identified, for example, data on naturally aspirated gasoline, diesel engine, turbo engine, etc., and information on approximate fuel consumption, vehicle weight, displacement, etc. are supported. The coefficient value to be read may be read out.

Next, the meanings of the coefficients k ₁ to k ₃ will be described. k ₁ is a coefficient indicating the fuel consumption when the vehicle is stopped with the engine moving, that is, idling. K ₂ is a coefficient indicating the fuel consumption during acceleration. K ₃ is a coefficient based on resistance generated when the vehicle travels. The resistance generated when the vehicle travels includes air resistance and rolling resistance applied to the vehicle body. Among these, the rolling resistance includes resistance generated with rotation of the tire, resistance generated with rotation inside the engine, and the like.

FIG. 5 is a graph showing the relationship between the coefficient k ₁ and the displacement. The vertical axis represents the coefficient k ₁ and the horizontal axis represents the displacement. As shown in FIG. 5, the coefficient k ₁ and the displacement are positively correlated. That is, in general, it is known that a vehicle with a larger displacement has a higher fuel consumption during idling, and the coefficient k ₁ is a coefficient reflecting the fuel consumption during idling.

FIG. 6 is a graph showing the relationship between the coefficient k ₂ and the vehicle weight, where the vertical axis represents the coefficient k ₂ and the horizontal axis represents the vehicle weight. As shown in FIG. 6, the coefficient k ₂ and the vehicle weight have a positive correlation. That is, it is generally known that the heavier the vehicle weight, the larger the fuel consumption during acceleration, and the coefficient k ₂ is a coefficient reflecting the fuel consumption during acceleration.

FIG. 7 is a graph showing the relationship between the coefficient k ₃ and the displacement. The vertical axis represents the coefficient k ₃ and the horizontal axis represents the displacement. As shown in FIG. 7, there is no correlation between the coefficient k ₃ and the displacement. This, k ₃ is the coefficient based on the resistance generated during running of the vehicle, in order to have a correlation to the shape of the vehicle than the exhaust amount.

(Database creation method for coefficients k ₁ to k ₃ )
Next, the flow until the values of the coefficients k ₁ to k ₃ are made into a database will be described. A coefficient table (coefficient database) as shown in FIG. 4 is constructed in the following procedure, for example.
[Procedure 1]
Measure actual driving data of a standard vehicle type, and substitute the actual driving data into the following formula (α). The following equation (α) substituted with actual running data is subjected to multiple regression analysis to obtain coefficients k ₁ , k ₂ , k ₃ , k ₄ , and k ₅ . Here, k ₁ is a coefficient based on fuel consumed during idling, k ₂ is a coefficient based on fuel consumed during acceleration, k ₃ is a coefficient based on air resistance and rolling resistance, and k ₄ and k ₅ are engine torque characteristics. It is a coefficient due to transmission efficiency. In the following formula (α), fc: fuel consumption (cc / sec), x: vehicle speed (km / h), dx / dt + g · sin θ: combined acceleration (vehicle speed acceleration and acceleration of gravity).
fc (x) = k ₁ + k ₂ · (dx / dt + g · sin θ) · x + k ₃ · x ³ + k ₄ · x ² + k ₅ · x (α)
[Procedure 2]
Of k ₁ ~ k ₅ obtained in Step 1, obtain the a _1, a ₂ of the equation (1) using a k ₃ ~ k _5. Since a ₁ and a ₂ are values common to most vehicle types, the number of parameters can be reduced by making them constant. Specifically, a ₁ = k ₄ / k ₃ and a ₂ = k ₅ / k ₃ .
[Procedure 3]
With respect to the coefficients k ₁ to k ₃ of vehicle types other than the standard vehicle type, the actual running data is subjected to multiple regression analysis using the following formula (β). In the following formula (β), the parameters are limited to three. Then, the coefficients k ₁ to k ₃ obtained for each vehicle type, displacement, engine type, etc. are compiled into a database.
fc (x) = k ₁ + k ₂ · (dx / dt + g · sin θ) · x + k ₃ · (x ³ + a ₁ · x ² + a ₂ · x) (β)

(About road gradient θ)
Next, the road gradient θ in the second term on the right side of the equation (1) will be described. FIG. 8 is an explanatory diagram schematically showing acceleration applied to a vehicle traveling on a road having a gradient. As shown in FIG. 8, a vehicle traveling on a slope with a slope of θ is subjected to acceleration (dx / dt) A and traveling direction component (g · sin θ) B of gravity acceleration g. The second term on the right side of the equation (1) indicates the acceleration A accompanying the traveling of the vehicle and the combined acceleration C of the traveling direction component B of the gravitational acceleration g.

When estimating the fuel consumption without considering the road gradient θ, the error between the estimated fuel consumption and the actual fuel consumption is small in the region where the road gradient θ is small, but the estimated fuel consumption and the actual fuel consumption are different in the region where the road gradient θ is large. The error will increase. For this reason, the navigation apparatus 300 estimates the fuel consumption in consideration of the road gradient.

The slope of the road on which the vehicle travels can be known using, for example, an inclinometer mounted on the navigation device 300. Further, when the inclinometer is not mounted on the navigation device 300, for example, road gradient information included in the map data can be used.

In addition, if the map data does not include gradient information, the gradient is calculated using the elevation data in the map data, or if the navigation device is capable of three-dimensional positioning, using the elevation information of the positioning result. The fuel consumption in a certain section can be estimated. Specifically, the fuel consumption in the section with the gradient (gradient section fuel consumption) is estimated using an approximate expression such as the following expression (2).
Gradient section fuel consumption = Section fuel consumption when the slope is always 0 + k2g (Section end point elevation-Section start point elevation) (2)

The first term “section fuel consumption (when the gradient is always 0)” on the right side of the equation (2) is a value obtained by integrating the instantaneous fuel consumption (value of the equation (1)) in the section. . The second term (section end point elevation−section start point elevation) on the right side indicates the amount of change in potential energy. It is shown as follows that the above equation (2) can approximate the fuel consumption in a section with a gradient.

Section fuel consumption = Σfc · ΔT
= Σ {k ₁ + k ₂ · x · (dx / dt + g · sin θ) + k ₃ · G (x)} ΔT
= K ₁ · ΣΔT + k ₂ · Σx (dx / dt + g · sin θ) ΔT + k ₃ · ΣG (x) ΔT (3)
Here, paying attention to the second term of the above formula (3),
ΣV (dx / dt + g · sin θ) ΔT = Σx · dx / dt · ΔT + g · Σ (x · sin θ) ΔT (4)
It can be seen that “Σ (x · sin θ) ΔT” in the second term on the right side of the equation (4) is the amount of movement in the elevation direction in the section. The first term on the right side of the above formula (4) is the amount of fuel consumed with respect to the acceleration energy when the gradient is always considered to be zero. It can be referred to as “section estimation value”. Therefore, even if there is no inclinometer, if the latitude and longitude of the start point and end point of the target section can be obtained, fuel consumption can be estimated in consideration of the road gradient by referring to the altitude data. Alternatively, if the navigation device is capable of three-dimensional positioning, fuel efficiency can be estimated in consideration of the road gradient by directly referring to the elevation information of the start point and end point of the target section.

(Regarding correction of fuel consumption calculation formula)
Next, correction of the fuel consumption calculation formula (the above formula (1)) using the actual fuel consumption information will be described. As described above, the navigation device 300 estimates the fuel consumption based on the above equation (1). However, an error may occur between the estimated fuel consumption and the actual fuel consumption due to various factors such as the characteristics of each vehicle and the characteristics of the driver. In this case, the navigation apparatus 300 corrects the calculation formula by the following method and uses it for fuel consumption estimation from the next time. Thereby, the estimation precision of a fuel consumption can be improved more. The following method is based on the premise that information on actual fuel consumption can be obtained, but the actual fuel consumption measurement method is arbitrary.

[Method 1: Correction based on vehicle running state]
The first method is a correction method based on the running state of the vehicle at the time of measuring the actual fuel consumption. The traveling state of the vehicle is, for example, whether the vehicle has traveled at a high speed, traveled at a low speed, or traveled in a traffic jam. Specifically, first, the section fuel consumption of the section in which the actual fuel consumption information is obtained is calculated using the following equation (5).
ΣfcΔt = Σ {h · (k ₁ + k ₂ · x · dx / dt + k ₃ · G (x))} Δt
= H {Σk ₁ Δt + Σk ₂ · x · dx / dt · Δt + Σk ₃ · G (x) · Δt} (5)
Where h is a correction coefficient,
fc = h · (k ₁ + k ₂ · x · dx / dt + k ₃ · G (x))
g (v) = x ³ + a ₁ · x ² + a ₂ · x
Where fc <h · k ₁ , fc = h · k ₁ , a ₁ = −100, a ₂ = 6000

In the above equation (5), when the ratio of the term relating to k1 is large, it is determined that the ratio of traffic jam is high when traveling in the section. Further, when the ratio of the term relating to k2 is large, it is determined that the ratio at low speed is large when traveling in the section. Further, when the ratio of the term relating to k3 is large, it is determined that the ratio at high speed is high when traveling in the section. Thereby, the traveling state of the vehicle in the section where the actual fuel consumption information is obtained is grasped.

Then, the actual fuel consumption amount is compared with the section fuel consumption amount to determine whether the actual fuel consumption amount is better or worse than the section fuel consumption amount, and the coefficients k ₁ to k ₃ are corrected as follows based on the result. .
[1] during the low speed, the actual fuel consumption amount when worse than the interval fuel consumption: k ₂ greatly to reduce the k _3.
[2] during the low speed, the actual fuel consumption amount may better than the interval fuel consumption: k ₂ a small, increasing the k _3.
[3] During congestion, the actual fuel consumption amount when worse than the interval fuel consumption: k ₁ greatly to reduce the k _3.
[4] During congestion, the actual fuel consumption amount may better than the interval fuel consumption: k ₁ a small, increasing the k _3.
[5] during high-speed, real fuel amount if worse than the interval fuel consumption: k ₂ a small, increasing the k _3.
[6] during high-speed, real fuel consumption amount may better than the interval fuel consumption: k ₂ greatly to reduce the k _3.

In the above [1] to [6], two coefficients are corrected, but the present invention is not limited to this. For example, when the actually measured fuel consumption amount does not match the estimated fuel consumption amount, one coefficient may be corrected as follows.
[A] congestion ratio during idling is large like section: when the estimated fuel efficiency than the measured fuel consumption by increasing the k _1, when the estimated fuel efficiency is worse than the measured fuel efficiency to reduce the k _1.
[B] city travel ratio deceleration is large, etc. section: when the estimated fuel efficiency than the measured fuel consumption by increasing the k _2, when the estimated fuel efficiency is worse than the measured fuel efficiency to reduce the k _2.
[C] toll roads, such as at a rate of high-speed traveling is large interval: if the estimated fuel efficiency than the measured fuel consumption by increasing the k _3, estimated fuel consumption is reduced when k ₃ worse than the measured fuel consumption.

[Method 2: Correction based on the type of road on which the vehicle traveled]
The second method is a correction method based on the type of road on which the vehicle has traveled when measuring the actual fuel consumption. The type of road is, for example, a general road or a highway. More specifically, the simultaneous equations of the following formulas (6) and (7) are solved using at least two times of fuel supply information to determine the actual fuel consumption Fi on the general road and the actual fuel consumption Fk on the expressway.
A1 · Fi + B1 · Fk = E1 (6)
A2 ・ Fi + B2 ・ Fk = E2 (7)

Here, E1 is the first gasoline refueling amount, A1 is the travel distance of the general road that has traveled from the first full tank to the first fueling, and B1 is the first full tank to the first fueling. Travel distance on the expressway, E2 is the second gasoline charge amount, A2 is the travel distance on the general road that traveled from the first to the second refueling, and B2 is traveled from the first to the second refueling Is the mileage of the expressway. The travel distance on the general road and the travel distance on the expressway can be obtained by referring to travel history information recorded in the navigation device 300. Each refueling is a refueling that fills the fuel tank.

Then, using the following formula (8), the section fuel consumption amount of the travel section corresponding to the two refueling information is calculated separately for the general road section and the highway section. In the following formula (8), h1 and h2 are set as unknown parameters.
ΣfcΔt = Σ {h1 · (k ₁ + k ₂ · x · dx / dt) + h2 · (k ₃ · G (x))} Δt
= H1 · {Σk ₁ Δt + Σk ₂ · x · dx / dt · Δt} + h2 · {Σk ₃ · g (v) · Δt} (8)
fc = h 1 · (k ₁ + k ₂ · x · dx / dt) + h 2 · (k ₃ · G (x))
G (x) = x ³ + a ₁ · x ² + a ₂ · x
However, if fc <of _{h1 · k 1, fc = h1} · k 1, a 1 = -100, a 2 = 6000

Then, the section fuel consumption amount calculated separately for the general road section and the expressway section is compared with the actual fuel consumption amount for each road type. In the general road section, the expression in {} in the first term on the right side of the equation (8) is Ai, and the expression in {} in the second term on the right side is Bi, and the expression on the right side of the equation (8) in the expressway section The expression in {} of 1 term is set to Ak, the expression in {} of the second term on the right side is set to Bk, and the following expressions (9) and (10) are obtained. In the following formulas (9) and (10), the left side is the estimated fuel consumption and the right side is the actual fuel consumption.
(General road) h1, Ai + h2, Bi = (a1 + a2), Fi (9)
(Highway) h1 ・ Ak + h2 ・ Bk = (b1 + b2) ・ Fk (10)

Normally, in the general road equation (the above equation (9)), the h1 · Ai term should be dominant, and in the highway equation (the above equation (10)), the h2 · Bk term should be dominant. is there. Then, the actual fuel consumption is compared with the section fuel consumption to determine whether the actual fuel consumption is better or worse than the section fuel consumption, and the parameter h (h1, h2) is adjusted as follows based on the result. To do.
[1] When the actual fuel consumption amount is worse than the section fuel consumption amount on a general road: h1 is increased.
[2] When the actual fuel consumption amount is better than the section fuel consumption amount on a general road: h1 is decreased.
[3] When the actual fuel consumption is worse than the section fuel consumption on the expressway: h2 is increased.
[4] When the actual fuel consumption amount is higher than the section fuel consumption amount on the highway: h2 is decreased.
Further, the above equations (9) and (10) may be regarded as a binary linear equation and solved for h1 and h2.

(Fuel consumption estimation process)
FIG. 9 is a flowchart showing a procedure of fuel consumption estimation processing by the navigation device. In the flowchart of FIG. 9, the navigation device 300 first waits until the vehicle on which the device is mounted starts traveling (step S <b> 901: No loop). When the vehicle starts traveling (step S901: Yes), the navigation apparatus 300 reads out the coefficients k ₁ to k ₃ corresponding to the vehicle on which the apparatus is mounted from the coefficient table (step S902). It should be noted that the coefficient need not be read every time it travels. For example, the coefficient value once read may be recorded in the ROM 302 or the like.

Next, the navigation device 300 acquires the current vehicle speed information and acceleration information (step S903). Moreover, the navigation apparatus 300 acquires the gradient information of the road on which the vehicle is currently traveling (step S904). Then, the navigation apparatus 300 calculates the current instantaneous fuel consumption amount using the above formula (1) (step S905), and displays the calculated value (current instantaneous fuel consumption amount) on the display 313 (step S906). Note that the display or non-display of the fuel consumption amount may be switched by a user operation.

Navigation device 300 returns to step S903 until the vehicle finishes traveling (step S907: No), and continues the subsequent processing. And if a vehicle complete | finishes driving | running | working (step S907: Yes), the process by this flowchart will be complete | finished. In addition, when the actual fuel consumption amount information at the time of traveling can be acquired, the fuel consumption estimation formula (the above formula (1)) may be corrected after traveling or during traveling. In this case, the correction of the fuel consumption estimation formula may be performed at an arbitrary timing by a user operation, for example. The fuel consumption estimation process shown in this flowchart may be switched on and off by a user operation in order to reduce the processing load on the CPU 301.

As described above, the navigation apparatus 300 uses the single fuel estimation formula that includes only information related to idling of the vehicle, information related to acceleration of the vehicle, and information related to resistance generated when the vehicle travels, in more detail. Is a coefficient k ₁ based on the fuel consumption at the time of idling of the vehicle, a coefficient k ₂ based on the fuel consumption at the time of acceleration of the vehicle, an air resistance generated when the vehicle is running, and a coefficient k ₃ based on the rolling resistance. ) To estimate the fuel consumption of the vehicle. For this reason, the fuel consumption estimation apparatus 100 can estimate the fuel consumption during actual traveling of the vehicle with high accuracy and stability compared to the conventional calculation method.

Also, the navigation device 300 estimates the fuel consumption during actual traveling using only the above formula (1) as a single fuel estimation formula. For this reason, it is not necessary to change the regression equation applied according to the traveling state of the vehicle, and fuel efficiency estimation with high practicality can be performed even during actual traveling where the traveling state changes in a short period of time.

Also, the navigation device 300 estimates the fuel consumption using the vehicle speed information and acceleration information, and the gradient information of the road on which the vehicle travels. For this reason, the navigation apparatus 300 can reflect the change in the running speed and acceleration of the vehicle and the change in the potential energy applied to the vehicle in the estimated value of the fuel consumption, and can estimate the fuel consumption more accurately. .

Also, road gradient information is a parameter that is not highly correlated with vehicle speed and acceleration. For this reason, in the navigation apparatus 300, by estimating the fuel consumption using the gradient information of the road on which the vehicle travels, a more reliable estimation result can be obtained compared to the case where only the speed and acceleration are used as parameters. Obtainable.

Further, the vehicle speed information and acceleration information and the road gradient information on which the vehicle travels are information acquired by the navigation device 300 from the past. For this reason, according to the navigation apparatus 300, the user can know the fuel consumption of a vehicle, without requiring a special apparatus and complicated work.

Moreover, since the navigation apparatus 300 estimates the fuel consumption per unit time, it can calculate the estimated fuel consumption amount, the average fuel consumption amount, the integrated fuel consumption amount, etc. in an arbitrary section in addition to the instantaneous fuel consumption amount. The fuel consumption can be presented to the user in an easy-to-understand manner.

In addition, since the navigation apparatus 300 records the coefficient used for estimating the fuel consumption in the database according to the vehicle type, the displacement, the vehicle weight, and the mode fuel consumption, the navigation apparatus 300 selects a more appropriate coefficient and calculates the fuel consumption. Estimation can be performed.

In addition, since the navigation apparatus 300 corrects the mathematical formula used for estimating the fuel consumption using the actual fuel consumption amount information, the characteristics of the vehicle itself and the driving characteristics of the user are reflected when estimating the fuel consumption from the next time. Thus, the fuel consumption can be estimated with higher accuracy.

In the above embodiment, the example in which the navigation apparatus holds the coefficient table shown in FIG. 4 has been described. However, the present invention is not limited to this. For example, a coefficient table may be prepared for each road type. More specifically, a coefficient table for ordinary roads and a coefficient table for expressways may be stored in advance, and the coefficient table may be switched in response to this change when the type of road being traveled changes. .

The fuel consumption estimation method described in the present embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. The program may be a transmission medium that can be distributed via a network such as the Internet.

Claims

The first fuel consumption information related to the stop of the vehicle in a state where the engine is moving, the second fuel consumption information related to the acceleration of the vehicle, and the third fuel consumption information related to the resistance generated when the vehicle travels A fuel consumption estimation device that estimates fuel consumption per unit time during travel of the vehicle based on one fuel estimation formula.
A coefficient based on fuel consumption when the vehicle is stopped when the engine is moving is acquired as the first fuel consumption information, and a coefficient based on fuel consumption during acceleration of the vehicle is acquired as the second fuel consumption information. Coefficient acquisition means for acquiring, as the third fuel consumption information, a coefficient based on air resistance and rolling resistance generated when the vehicle travels;
Variable acquisition means for acquiring the speed and acceleration during travel of the vehicle as variables relating to the second fuel consumption information and the third fuel consumption information;
Fuel consumption estimation means for estimating fuel consumption of the vehicle by using the single fuel estimation formula based on the acquired coefficient, speed and acceleration;
The fuel consumption estimation apparatus according to claim 1, comprising:
Gradient information acquisition means for acquiring gradient information of the road on which the vehicle travels,
The fuel consumption estimation method according to claim 2, wherein the fuel consumption estimation unit estimates the fuel consumption of the vehicle by incorporating the gradient information acquired by the gradient information acquisition unit into the single fuel estimation formula. Estimating device.
The fuel consumption estimation device according to claim 3, wherein the fuel consumption estimation means estimates a fuel consumption amount of the vehicle based on the following formula (1) as the single fuel estimation formula.
A coefficient based on fuel consumption when the vehicle is stopped when the engine is moving, a coefficient based on fuel consumption during acceleration of the vehicle, a coefficient based on air resistance and rolling resistance generated when the vehicle is running, Has a recorded database,
The fuel efficiency estimation apparatus according to claim 2, wherein the coefficient acquisition unit reads each coefficient from the database.
The database records the coefficients by vehicle type,
The fuel efficiency estimation apparatus according to claim 5, wherein the coefficient acquisition unit acquires the coefficient suitable for a vehicle type of the vehicle.
The database records the coefficient by displacement and vehicle weight,
The fuel efficiency estimation apparatus according to claim 5, wherein the coefficient acquisition means acquires the coefficient that matches the displacement and weight of the vehicle.
The database records the coefficient by mode fuel consumption,
The fuel efficiency estimation apparatus according to claim 5, wherein the coefficient acquisition unit acquires the coefficient that matches the approximate fuel efficiency of the vehicle.
Actual fuel consumption information acquisition means for acquiring actual fuel consumption (hereinafter referred to as “actual fuel consumption”) information during travel of the vehicle;
Correction means for correcting the single fuel estimation formula based on the actual fuel consumption amount information acquired by the actual fuel consumption amount acquisition means,
The fuel consumption estimation apparatus according to claim 2, wherein the fuel consumption estimation unit estimates the fuel consumption using the single fuel estimation formula corrected by the correction unit.
The correction means calculates the single fuel estimation formula based on a comparison value between the fuel consumption amount estimated by the fuel consumption estimation means and the actual fuel consumption amount and a traveling state of the vehicle at the time of traveling. The fuel consumption estimation apparatus according to claim 9, wherein correction is performed.
The correction means corrects the single fuel estimation formula based on a comparison value between the fuel consumption estimated by the fuel consumption estimation means and the actual fuel consumption and a type of road on which the vehicle has traveled. The fuel consumption estimation apparatus according to claim 9, wherein
A fuel consumption estimation device for estimating the fuel consumption of a vehicle,
A coefficient k 1 based on fuel consumption when the vehicle is stopped when the engine is moving, a coefficient k 2 based on fuel consumption when the vehicle is accelerated, and a coefficient k 3 based on air resistance and rolling resistance of the vehicle are preliminarily set. Holding means for storing;
Detecting means for detecting the vehicle speed of the vehicle;
Using the coefficients k 1 , k 2 , k 3 stored in the holding means and the vehicle speed of the vehicle detected by the detecting means, an instantaneous fuel consumption estimated amount fc is calculated by the following equation (2). An estimation means;
A fuel consumption estimation device comprising:
Instantaneous fuel consumption estimation amount fc (x) = k 1 + k 2 · f 1 (x) + k 3 · f 2 (x) (2)
here,
f 1 (x): a predetermined function using the vehicle speed and acceleration of the vehicle as parameters f 2 (x): a predetermined function using the vehicle speed of the vehicle as parameters
The first fuel consumption information related to the stop of the vehicle in a state where the engine is moving, the second fuel consumption information related to the acceleration of the vehicle, and the third fuel consumption information related to the resistance generated when the vehicle is running. A fuel consumption estimation method characterized by estimating a fuel consumption per unit time during travel of the vehicle based on one fuel estimation formula.
A coefficient based on fuel consumption when the vehicle is stopped when the engine is moving is acquired as the first fuel consumption information, and a coefficient based on fuel consumption during acceleration of the vehicle is acquired as the second fuel consumption information. A coefficient acquisition step of acquiring a coefficient based on air resistance and rolling resistance generated during travel of the vehicle as the third fuel consumption information;
A variable acquisition step of acquiring the speed and acceleration during travel of the vehicle as variables relating to the second fuel consumption information and the third fuel consumption information;
A fuel consumption estimation step of estimating a fuel consumption amount of the vehicle by using the single fuel estimation formula based on the acquired coefficient, the speed and the acceleration;
The fuel consumption estimation method according to claim 13, comprising:
14. The fuel consumption estimation method according to claim 13, wherein in the fuel consumption estimation step, fuel consumption of the vehicle is estimated based on the following formula (3) as the single fuel estimation formula.
Substituting the actual driving data of the vehicle into the following equation (4) and performing multiple regression analysis to calculate k 1 to k 5 ,
A calculation step of calculating a 1 and a 2 of the above formula (3) using k 3 to k 5 calculated in the analysis step;
The fuel consumption estimation method according to claim 15, comprising:
A fuel consumption estimation program for causing a computer to execute the fuel consumption estimation method according to any one of claims 13 to 16.
A computer-readable recording medium in which the fuel consumption estimation program according to claim 17 is recorded.