JP2011112443A - On-vehicle information processor, control method and control program of on-vehicle information processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To accommodate a difference of a running environment and a driving skill of each user, and calculate a fuel consumption obtained if a vehicle runs in a predetermined running pattern. <P>SOLUTION: An on-vehicle information processor 10 obtains a vehicle speed data Ds and a fuel consumption data Df when the vehicle actually runs, extracts the fuel consumption data Df based on the vehicle speed data Ds if the vehicle runs with a fuel consumption measurement condition satisfied, stores it to a storage memory section 15, and calculates the fuel consumption from the stored fuel consumption data Df if the vehicle runs on the predetermined fuel consumption measurement condition. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an in-vehicle information processing apparatus, a control method for the in-vehicle information processing apparatus, and a control program, and is obtained by traveling along a predetermined traveling pattern, such as a 10.15 mode fuel consumption measurement method. The present invention relates to a technique for measuring fuel consumption.

  Conventionally, in the 10.15 mode fuel consumption measurement method and the JC08 fuel consumption measurement method, which are general methods for measuring the fuel consumption of a vehicle, the vehicle is actually driven under measurement conditions (running pattern) approved by the Ministry of Land, Infrastructure, Transport and Tourism. It is supposed that the measurement is performed in a test running under a special environment using a chassis dynamometer (for example, see Patent Document 1).

JP 2007-108038 A

Therefore, when trying to measure the fuel consumption of a vehicle owned by the user by a predetermined measurement method (for example, 10.15 mode fuel consumption measurement or JC08 mode fuel consumption measurement) announced by the Ministry of Land, Infrastructure, Transport and Tourism. Therefore, it was necessary to entrust the measurement to a car dealer or car mechanic who had a measurement environment.
For this reason, even if the user feels that the fuel economy has deteriorated due to the claim of the engine of the vehicle, it has not been easy to know what is actually happening.
In addition, the fuel consumption under the measurement conditions approved by the Ministry of Land, Infrastructure, Transport and Tourism is obtained when traveling according to a specific driving pattern. There was also a problem that it would deviate greatly.

Specifically, when driving in an urban area where acceleration / deceleration is frequently performed, according to a general fuel consumption meter, the fuel consumption obtained by 10.15 mode fuel consumption measurement or JC08 mode fuel consumption measurement is reduced by half. The following fuel consumption may be displayed. For this reason, there is a possibility that the user may suspect that his / her vehicle cannot be driven with the fuel consumption obtained by the 10.15 mode fuel consumption measurement or the JC08 mode fuel consumption measurement presented by the automobile manufacturer.
Accordingly, an object of the present invention is to provide an in-vehicle information processing apparatus and an in-vehicle information processing apparatus capable of calculating the fuel consumption obtained when the vehicle travels in a predetermined traveling pattern by absorbing the difference in traveling environment and driving technology for each user. An object is to provide a control method and a control program for an information processing apparatus.

  In order to solve the above-described problem, a first aspect of the present invention is an in-vehicle information processing apparatus that calculates a fuel consumption amount when a vehicle is driven under predetermined fuel consumption measurement conditions. Vehicle speed data and fuel consumption data are acquired, and based on the vehicle speed data, the fuel consumption data is extracted and stored when the fuel consumption measurement condition is satisfied and the vehicle is running, and the stored fuel A fuel consumption calculation unit is provided that calculates the fuel consumption when the vehicle travels under the predetermined fuel consumption measurement conditions from consumption data.

  According to the above configuration, the fuel consumption calculation unit extracts and stores the fuel consumption amount data when the vehicle is traveling while satisfying the fuel consumption measurement condition based on the vehicle speed data at the time of actual traveling of the vehicle, and the stored fuel Since the fuel consumption is calculated from the consumption data when the vehicle is driven under the predetermined fuel consumption measurement conditions, even if the vehicle is difficult to drive under the predetermined fuel consumption measurement conditions, the predetermined fuel consumption measurement conditions It is possible to calculate the fuel consumption when traveling with

According to a second aspect of the present invention, in the first aspect, when the fuel consumption amount data cannot be extracted for a part of the fuel consumption measurement condition, the fuel consumption calculation unit complements the fuel consumption amount data of the portion. It is characterized by having a complement.
According to the above configuration, when the fuel consumption data cannot be extracted for a part of the fuel consumption measurement conditions, the complement unit supplements the fuel consumption data of the part, so that the fuel consumption measurement conditions can be handled in actual driving. Even when it is not possible to extract all the fuel consumption data, it is possible to calculate the fuel consumption when traveling under predetermined fuel consumption measurement conditions.

According to a third aspect of the present invention, in the first aspect or the second aspect, the fuel consumption measurement condition includes a plurality of travel patterns, and the fuel consumption calculation unit stores the fuel consumption data in association with the travel patterns. It is characterized by doing.
According to the above configuration, the fuel consumption calculation unit stores the fuel consumption data in association with the travel pattern. Therefore, only by combining the obtained fuel consumption data in association with the travel pattern, a predetermined fuel consumption measurement condition is obtained. It is possible to calculate the fuel consumption when traveling with

According to a fourth aspect of the present invention, in the third aspect, the fuel consumption calculation unit calculates fuel consumption data representing the travel pattern when a plurality of the fuel consumption data corresponding to the travel pattern is obtained. And memorize it.
According to the above configuration, it is possible to calculate the fuel efficiency when the vehicle travels more accurately under the predetermined fuel consumption measurement conditions in consideration of variations in fuel consumption during actual traveling.

According to a fifth aspect of the present invention, there is provided a control method for an in-vehicle information processing apparatus for calculating a fuel consumption amount when a vehicle is traveled under a predetermined fuel consumption measurement condition, wherein the vehicle speed data and fuel during actual travel of the vehicle are described. A data acquisition process for acquiring consumption data, a storage process for extracting and storing the fuel consumption data when the vehicle is running while satisfying the fuel consumption measurement condition based on the vehicle speed data, and the storage A fuel consumption calculation process for calculating fuel consumption when traveling under the predetermined fuel consumption measurement condition from the fuel consumption data.
According to the above configuration, even when the vehicle is traveling with difficulty in traveling under the predetermined fuel consumption measurement condition, the fuel consumption when traveling under the predetermined fuel consumption measurement condition can be calculated.

According to a sixth aspect of the present invention, there is provided a control program for controlling an in-vehicle information processing device that calculates a fuel consumption amount when a vehicle is driven under a predetermined fuel consumption measurement condition by a computer, wherein the computer is the vehicle. A data acquisition unit for acquiring vehicle speed data and fuel consumption data during actual driving, and extracting the fuel consumption data when the vehicle is traveling satisfying the fuel consumption measurement condition based on the vehicle speed data It is made to function as a memory | storage part to memorize | store, and the fuel consumption calculation part which calculates the fuel consumption at the time of drive | working on the said predetermined fuel consumption measurement conditions from the said stored said fuel consumption data.
According to the above configuration, even when the vehicle is traveling with difficulty in traveling under the predetermined fuel consumption measurement condition, the fuel consumption when traveling under the predetermined fuel consumption measurement condition can be calculated.

  According to the present invention, the fuel consumption data when the vehicle is running while satisfying the fuel consumption measurement condition is extracted and stored, and when the vehicle is driven under the predetermined fuel consumption measurement condition from the stored fuel consumption data. Since the fuel consumption is calculated, it is possible to calculate the fuel consumption when the vehicle travels under the predetermined fuel consumption measurement conditions even during actual traveling where it is difficult to drive the vehicle under the predetermined fuel consumption measurement conditions.

It is a general | schematic block diagram of a vehicle-mounted information processing apparatus. It is explanatory drawing of the driving | running | working pattern in a 10 * 15 mode fuel consumption measuring method. It is a processing flowchart of an embodiment. It is explanatory drawing of a specific process. It is explanatory drawing of a data complementation process.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.
FIG. 1 is a schematic block diagram of an in-vehicle information processing apparatus. In the following description, a case where the 10.15 mode fuel consumption measurement method is used as the predetermined fuel consumption measurement method will be described.
The in-vehicle information processing apparatus 10 calculates a vehicle speed and acceleration based on a vehicle speed pulse signal Ss input from a CAN (Controller Area Network), and outputs it as vehicle speed data Ds and acceleration data Da; A fuel consumption calculation unit 12 that calculates fuel consumption based on an injector signal Se input from CAN and outputs it as fuel consumption data Df, and a travel pattern (vehicle speed, acceleration, speed maintenance time) related to 10.15 mode fuel consumption measurement 10/15 mode fuel consumption measurement information (fuel consumption measurement conditions) including 10/15 mode fuel consumption measurement information storage unit 13.

  Further, the in-vehicle information processing device 10 stores the 10.15 mode fuel consumption measurement information in which the vehicle speed data Ds, acceleration data Da, and the like output from the vehicle speed / acceleration calculation unit 11 are stored in the 10.15 mode fuel consumption measurement information storage unit 13. Comparing with the data, a comparison unit 14 for determining whether or not a substantially matching traveling pattern is detected, and vehicle speed / acceleration calculation when the comparing unit 14 determines that a substantially matching traveling pattern is detected The vehicle speed data Ds and acceleration data Da output from the unit 11, the memory unit 15 for storing the fuel consumption data Df calculated by the fuel consumption calculation unit 12, and the vehicle speed data Ds and acceleration stored in the memory unit 15 for storage The data Da and the fuel consumption data Df are used to supplement the missing information and obtain data for 10.15 mode fuel consumption measurement. A data complement processing unit 16 that performs a complement process, and a 10/15 mode fuel consumption calculation unit 17 that calculates a 10.15 mode fuel efficiency based on data for 10.15 mode fuel efficiency measurement after the data complement process. Yes.

In the above configuration, the vehicle speed / acceleration calculation unit 11, the fuel consumption calculation unit 12, the comparison unit 14, the data supplement processing unit 16 and the 10/15 mode fuel consumption calculation unit 17 are configured as a microprocessor having an MPU, ROM, and RAM. Is possible.
Further, the 10.15 mode fuel consumption measurement information storage unit 13 can be configured as a ROM or a hard disk.
Further, the storage memory unit 15 can be configured as a rewritable nonvolatile memory such as a RAM or a flash ROM to which backup power is supplied.

Next, driving patterns in the 10.15 mode fuel consumption measurement method will be described.
FIG. 2 is an explanatory diagram of a running pattern in the 10.15 mode fuel consumption measurement method.
In the 10.15 mode fuel consumption measurement, the measurement in the 10 mode is performed three times and the measurement in the 15 mode is performed once to calculate the fuel consumption.
As shown in FIG. 2, the measurement conditions in the 10 mode are configured by a combination of the following ten travel patterns (modes) M ₁₀ 1 to M _{10 10} .
(M ₁₀ 1) Maintain idling state for 20 seconds → (M ₁₀ 2) Accelerate to 20 km / h in 7 seconds → (M ₁₀ 3) Maintain 15 km / h for 15 seconds → (M ₁₀ 4) 20 km / h Decelerates and stops 7 seconds later → (M ₁₀ 5) maintains idling state for 16 seconds → (M ₁₀ 6) accelerates to 40 km / h in 14 seconds → (M ₁₀ 7) maintains 40 km / h for 15 seconds → (M ₁₀ 8) Deceleration in 10 seconds from 40 km / h to 20 km / h → (M ₁₀ 9) Accelerate in 12 seconds from 20 km / h to 40 km / h → (M ₁₀ 10) Deceleration in 17 seconds from 40 km / h Then stop

Similarly, as shown in FIG. 2, the measurement conditions in the 15 mode are configured by combinations of the following 15 travel patterns (modes) M ₁₅ 1 to M _{15 15} .
(M ₁₅ 1) Maintain idling state for 65 seconds → (M ₁₅ 2) Accelerate to 50 km / h in 18 seconds → (M ₁₅ 3) Maintain 50 km / h for 12 seconds → (M ₁₅ 4) 40 km / h 4) Deceleration in 4 seconds → (M ₁₅ 5) Maintain the accelerator off state for 4 seconds → (M ₁₅ 6) Accelerate from 40 km / h to 60 km / h in 16 seconds → (M ₁₅ 7) 60 km / Run for 10 seconds while maintaining h → (M ₁₅ 8) Accelerate from 60 km / h to 70 km / h in 11 seconds → (M ₁₅ 9) Run for 10 seconds while maintaining 70 km / h → (M ₁₅ 10) 70 km / h Decrease from h to 50 km / h in 10 seconds → (M ₁₅ 11) Maintain 50 km / h for 4 seconds → (M ₁₅ 12) Accelerate in 22 seconds from 50 km / h to 70 km / h → (M ₁₅ 13) Maintaining 70 km / h 5 seconds running _{→ (M 15 14) 70km /} h from the decelerating to stop at 30 seconds → _(M 15 15) 3 times a travel in 10 mode running pattern where the idling state described above 10 seconds maintaining the traveling in 15 mode Once performed, the maximum speed is 70 km / h, the average speed is 22.7 km, the travel distance is 4.16 km, and the travel time is 660 seconds.

Here, the principle of the present invention will be described prior to specific operation description.
It is obvious that it is difficult for a general user to realize the traveling corresponding to the above-described 10 mode and 15 mode by actual traveling.
However, it can be easily imagined that partly realizing the travel in each mode (detailed conditions) is also possible in actual travel.
Therefore, in the present embodiment, when traveling that corresponds to the traveling pattern at the time of fuel consumption measurement is performed, the traveling state (vehicle speed, acceleration, fuel consumption) is stored, and these are combined like a puzzle, and further realized. Although it could not be obtained by running, the driving pattern of 10 mode or 15 mode is theoretically reproduced by complementing the parts that can be complemented.

For example, in the 10 mode, when “accelerates to 20 km / h in 7 seconds” at a certain timing and “runs for 15 seconds while maintaining 20 km / h” at another timing, The traveling state (vehicle speed, acceleration, fuel consumption) is stored as traveling state data on the assumption that the traveling of M ₁₀ 2) and (M ₁₀ 3) has been performed.
These traveling state data are combined and treated as “running for 15 seconds while maintaining 20 km / h” after “acceleration to 20 km / h in 7 seconds”.
Similarly, in the case of 10 modes, the data of each of the 10 driving patterns are acquired separately, and these are combined to generate a 10-mode driving pattern in a pseudo manner, and the fuel consumption is calculated from the corresponding fuel consumption. Will be calculated.
Therefore, the driver who is a user can simulate the 10-mode fuel consumption measurement without being aware of the 10-mode measurement.

Next, specific processing will be described.
FIG. 3 is a processing flowchart of the embodiment.
FIG. 4 is an explanatory diagram of specific processing.
Here, Fig.4 (a) is explanatory drawing of the running pattern of 10 modes. FIG. 4B is an explanatory diagram of a speed change pattern during actual traveling. Further, FIG. 4C is an explanatory diagram of changes in fuel consumption during actual traveling.
First, when the vehicle speed / acceleration calculation unit 11 of the in-vehicle information processing apparatus 10 acquires the vehicle speed pulse signal Ss via the CAN bus (step S11), the vehicle speed / acceleration is calculated based on the obtained vehicle speed pulse signal Ss. (Step S12).
In parallel with this, when the fuel consumption calculation unit 12 acquires the injector signal Se via the CAN bus, the fuel consumption calculation unit 12 calculates the fuel consumption from the injector signal Se (fuel injection time).
Subsequently, the comparison unit 14 refers to the 10.15 mode fuel consumption measurement information and compares the vehicle speed and acceleration change state corresponding to the 10.15 mode fuel consumption measurement information with the actual vehicle speed and acceleration change state. (Step S13).

If it is determined in step S13 that the change state of the vehicle speed and acceleration does not coincide with a part of the measurement driving pattern corresponding to the 10.15 mode fuel consumption measurement information (step S13; mismatch), the information to be collected is Since there is not, the process proceeds to step S11, and the same process is repeated thereafter.
If it is determined in step S13 that the change state of the vehicle speed and acceleration matches a part of the measurement travel pattern corresponding to the 10.15 mode fuel consumption measurement information (step S13; coincidence), the measurement travel pattern. The vehicle speed, acceleration, and fuel consumption are stored in the memory unit 15 for storage in correspondence with a part of (step S14).
Here, a specific example in the case where the vehicle speed, the acceleration, and the fuel consumption amount are stored in correspondence with a part of the measurement travel pattern will be described.

Specifically, in FIG. 4B, during the period from time t0 to time t1, the speed is 0 and the vehicle is in the idling state, and thus corresponds to the idling state of the 10-mode traveling pattern (M ₁₀ 1). Can be considered.
Therefore, the fuel consumption amount at this time shown in FIG. 4C can be regarded as corresponding to the fuel consumption amount in the idling state of the 10-mode traveling pattern (M ₁₀ 1), and the corresponding traveling state Data (vehicle speed, acceleration, fuel consumption) is stored in the storage memory unit 15.
Next, during the period from time t1 to time t2 shown in FIG. 4B, acceleration is performed at a constant acceleration {≈ (20−0) km / 7 seconds} from 0 km / h to 20 km / h over about 7 seconds. It can be considered that it corresponds to the 10-mode travel pattern (M ₁₀ 2).

Therefore, the fuel consumption at this time shown in FIG. 4C can be regarded as corresponding to the fuel consumption in the 10-mode driving pattern (M ₁₀₂ ), and the corresponding driving state data (vehicle speed) , Acceleration, fuel consumption) in the memory unit 15 for storage.
Next, during the period from time t2 to time t3, acceleration is performed at a constant acceleration {≈ (28-20) km / 2.8 seconds = 40 km / 14 seconds} from 20 km / h to 28 km / h over about 2.8 seconds. Therefore, it can be considered that it corresponds to a part of the 10-mode running pattern (M ₁₀ 6). Note that in the 10 mode running pattern _{(M 10} 2) and the travel pattern _{(M 10} 6), the acceleration is the same, the period of time t1~ time t3, the driving pattern _{(M 10} 6) a portion of ( It can also be considered that it corresponds to a period from 0 to 28 km / h.

Furthermore, during the period from time t4 to time t5 shown in FIG. 4B, constant acceleration {≈ (40-28) km / 3.6 seconds = 40 km / 14 seconds over about 3.6 seconds from 28 km / h to 40 km / h. }, It can be considered that it corresponds to a part of the 10-mode driving pattern (M ₁₀ 6).
Therefore, when the period from the time t1 to the time t3 and the period from the time t4 to the time t5 are combined, it can be regarded as corresponding to the 10-mode travel pattern (M ₁₀ 6).
Note that the period from time t3 to time t4 does not coincide with the 10-mode travel pattern, so the travel state data for this period is discarded without being saved.

Further, during the period from time t6 to time t7, the vehicle decelerates at a constant acceleration {≈ (20-40) km / 10 seconds} from 40 km / h to 20 km / h over about 10 seconds. ₁₀ 8).
Therefore, the fuel consumption at this time shown in FIG. 4C can be regarded as corresponding to the fuel consumption in the 10-mode travel pattern (M ₁₀ 8), and the corresponding travel state data (vehicle speed) , Acceleration, fuel consumption) in the memory unit 15 for storage.
Further, during the period from time t7 to time t8, the vehicle decelerates at a constant acceleration {≈ (4-20) km / 6 seconds} over about 6 seconds from 20 km / h to 4 km / h. ₁₀ 4).
Therefore, the fuel consumption at this time shown in FIG. 4C can be regarded as corresponding to the fuel consumption in the 10-mode driving pattern (M ₁₀₄ ), and the corresponding driving state data (vehicle speed) Data Ds, acceleration data Da, and fuel consumption data Df) are stored in the memory unit 15 for storage.
Next, the data complementing processing unit 16 performs data complementing processing on the measurement travel pattern in order to compensate for the lack of the actual travel pattern (step S15).

FIG. 5 is an explanatory diagram of the data complementing process.
In FIG. 5, the solid line is a portion where the traveling state data can be acquired, and the broken line is a portion where the traveling state data cannot be acquired.
Specifically, for 10-mode travel patterns M ₁₀ 1, M ₁₀₂ , M ₁₀ 3, M ₁₀ 4, M ₁₀ 8, and M ₁₀ 9, travel state data has been acquired, and the travel pattern M ₁₀ 6 , M ₁₀ 7, a part of the traveling state data can be acquired, and the traveling state data cannot be acquired for the traveling pattern M ₁₀ 10.
In this case, the portion up to the speed of 20 km / h among the portions where the traveling state data in the traveling pattern M ₁₀ 6 could not be acquired is the same as the traveling pattern M ₁₀ 2, and thus obtained with the traveling pattern M ₁₀ 2. was running state data allocation (vehicle speed data Ds, the acceleration data Da, consumption data Df fuel) to, portions running state data could not be acquired which exceeds the speed 20 km / h, obtained with the travel pattern M _{10 2} Interpolation is performed based on the traveling state data and the traveling state data in the traveling pattern M ₁₀ 6 already obtained, and the traveling state data is obtained by calculation.

Similarly, for the traveling pattern M ₁₀ 7, the traveling state data is obtained by performing interpolation based on the traveling state data in the traveling pattern M ₁₀ 6 and the traveling state data in the traveling pattern M ₁₀ 7 that has already been obtained. Obtained by calculation.
Further, among the portions where the traveling state data in the traveling pattern M ₁₀ 10 could not be acquired, the portion up to the speed of 40 km to 20 km / h is the same as the traveling pattern M ₁₀ 8, and thus obtained with the traveling pattern M ₁₀ 8. assigned running state data for the part up to speed 20km~0km / h, it is identical to the travel pattern _{M 10} 4, allocates the traveling state data obtained in running pattern _{M 10} 4.
Through these data complementing processes, all the running state data can be acquired.

Subsequently, the 10.15 mode fuel consumption calculation unit 17 calculates the 10.15 mode fuel consumption based on the 10.15 mode fuel consumption measurement data after the data supplement processing (step S16) and displays it on a display (not shown) or the like. To do.
As described above, according to the present embodiment, the 10.15 mode fuel efficiency can be calculated and displayed based on the actual running state of the user.
As a result, it is possible to accurately present whether the user is performing more economical driving (so-called eco-driving).
In addition, the user can easily know the fuel efficiency obtained by the 10/15 mode fuel efficiency measurement that his / her vehicle has presented by the automobile manufacturer, and can grasp the malfunction of the vehicle at an early stage. Obtainable.

In the above description, the case where the 10.15 mode fuel consumption measurement method is used as the predetermined fuel consumption measurement method has been described. However, the JC08 mode fuel consumption measurement method or any other fuel consumption measurement method in which the traveling pattern at the time of measurement is known in advance. In this case, the same applies.
In the above description, the vehicle speed pulse signal and the injector signal are acquired via the CAN bus. However, the vehicle speed sensor or the ECU that controls the injector may be directly acquired.

10 Information processing device for vehicle 11 Vehicle speed / acceleration calculation unit (fuel consumption calculation unit)
12 Fuel consumption calculator (fuel consumption calculator)
13 10.15 mode fuel consumption measurement information storage unit (fuel consumption calculation unit)
14 Comparison part (fuel consumption calculation part)
15 Memory part for memory (fuel consumption calculation part)
16 Data supplement processing part (complement part)
17 10.15 mode fuel consumption calculation part (fuel consumption calculation part)
Da Acceleration data Df Fuel consumption data Ds Vehicle speed data

Claims (6)

An in-vehicle information processing device that calculates fuel consumption when a vehicle is driven under predetermined fuel consumption measurement conditions,
Obtain vehicle speed data and fuel consumption data during actual driving of the vehicle,
Extracting and storing the fuel consumption amount data when the vehicle is running while satisfying the fuel consumption measurement condition based on the vehicle speed data;
An in-vehicle information processing apparatus comprising: a fuel consumption calculation unit that calculates a fuel consumption when traveling under the predetermined fuel consumption measurement condition from the stored fuel consumption data. The in-vehicle information processing apparatus according to claim 1,
The in-vehicle information, wherein the fuel consumption calculation unit includes a complementing unit that complements the fuel consumption data of the portion when the fuel consumption data cannot be extracted for a part of the fuel consumption measurement condition Processing equipment. The in-vehicle information processing apparatus according to claim 1 or 2,
The fuel consumption measurement condition includes a plurality of travel patterns,
The fuel efficiency calculation unit stores the fuel consumption data in association with the travel pattern, and is an in-vehicle information processing apparatus. The in-vehicle information processing apparatus according to claim 3,
The fuel consumption calculation unit calculates and stores fuel consumption data representing the travel pattern when a plurality of the fuel consumption data corresponding to the travel pattern is obtained. apparatus. A control method for an in-vehicle information processing apparatus for calculating fuel consumption when a vehicle is driven under predetermined fuel consumption measurement conditions,
A data acquisition process for acquiring vehicle speed data and fuel consumption data during actual driving of the vehicle;
A storage process for extracting and storing the fuel consumption data when the vehicle is running while satisfying the fuel consumption measurement condition based on the vehicle speed data;
A fuel consumption calculation process for calculating fuel consumption when traveling under the predetermined fuel consumption measurement conditions from the stored fuel consumption data;
A control method for an in-vehicle information processing apparatus, comprising: A control program for controlling a vehicle-mounted information processing device that calculates fuel consumption when a vehicle is driven under predetermined fuel consumption measurement conditions by a computer,
A data acquisition unit for acquiring vehicle speed data and fuel consumption data during actual driving of the vehicle;
A storage unit that extracts and stores the fuel consumption data when the vehicle is running while satisfying the fuel consumption measurement condition based on the vehicle speed data;
A fuel consumption calculation unit that calculates fuel consumption when traveling under the predetermined fuel consumption measurement conditions from the stored fuel consumption data;
A control program characterized by functioning as

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