WO2023228679A1

WO2023228679A1 - Control device for internal combustion engine

Info

Publication number: WO2023228679A1
Application number: PCT/JP2023/016663
Authority: WO
Inventors: 昇吾南波; 敦史島田; 義寛助川
Original assignee: 株式会社日立製作所
Priority date: 2022-05-26
Filing date: 2023-04-27
Publication date: 2023-11-30
Also published as: JP2023173800A

Abstract

A control device (1) for an internal combustion engine comprises: a current information acquisition unit (11) that acquires current information from an electric motor connected to the internal combustion engine; and a fuel flow amount estimation unit (15) that estimates a fuel flow amount of the internal combustion engine on the basis of the current information acquired from the current information acquisition unit (11).

Description

Internal combustion engine control device

The present invention relates to a control device for an internal combustion engine.

For example, in an automobile internal combustion engine, an internal combustion engine control device that controls the internal combustion engine estimates the combustion state based on information from sensors attached to various parts in order to maintain the combustion state of the internal combustion engine appropriately. At the same time, the engine control unit, which issues a control command to the internal combustion engine to operate the actuator, determines control parameters for the actuator in response to the operator's accelerator opening command.

In a stationary internal combustion engine for power generation, the internal combustion engine and the power generation motor are connected, and the rotational torque generated by the internal combustion engine is converted into electric power by the power generation motor and then supplied to the power grid.

In either internal combustion engine, damage and abnormal vibration can be avoided by maintaining the combustion state of the internal combustion engine appropriately. In addition, especially in stationary internal combustion engines that are directly connected to the power grid, the combustion state can be monitored in detail and control can be performed to minimize variations in power supply to the power grid.

Combustion status monitoring methods generally include using a misfire sensor as a means of detecting when a misfire occurs, a knocking sensor as a means of detecting when abnormal combustion occurs, and measuring the in-cylinder pressure of each cylinder of an internal combustion engine. A cylinder pressure sensor is used.

In particular, monitoring methods using cylinder pressure sensors can measure the cylinder pressure of each cylinder of an internal combustion engine, making it possible to detect abnormal combustion. In addition, in a monitoring method using a cylinder pressure sensor, it is also possible to calculate the torque of the internal combustion engine from the cylinder pressure by using a mechanical calculation formula for the internal combustion engine. For this reason, especially in stationary internal combustion engines that are directly connected to the power grid, it is essential to install an in-cylinder pressure sensor when implementing control to minimize variations in power supply to the power grid.

For example, the abstract of Patent Document 1 describes the purpose of "successfully suppressing the occurrence of backfire in an internal combustion engine that uses hydrogen as fuel." As a solution, ``we detect the presence or absence of pre-ignition backfire in each cylinder based on the in-cylinder pressure and crank angle of each cylinder, and for each cylinder in which pre-ignition is detected, the combustion speed is determined. control is performed to increase the temperature, and for each cylinder in which the occurrence of backfire is detected, control is performed to lower the cylinder temperature.''

In addition, claim 1 of the same document states, ``In a control device for an internal combustion engine in which hydrogen fuel is supplied to each cylinder from an intake path upstream of an intake valve of each cylinder, a crank angle of the internal combustion engine is detected. A crank angle detection means, a cylinder pressure sensor provided in each cylinder of the internal combustion engine, and a cylinder pressure detected by each cylinder pressure sensor and a crank angle detected by the crank angle detection means are used for each cylinder. "Abnormal combustion detection means that detects whether pre-ignition occurs in each cylinder and whether backfire occurs by performing abnormal combustion detection processing."

That is, according to Patent Document 1, abnormal combustion can be detected for each cylinder by using each cylinder pressure sensor and a crank angle sensor, and based on the detected information, abnormal combustion can be effectively suppressed in the internal combustion engine. A control device for an internal combustion engine can be provided.

JP 2016-130473 Publication

However, the cylinder pressure sensor of Patent Document 1 is very expensive. For this reason, installing an in-cylinder pressure sensor in each cylinder would result in a correspondingly expensive system, increasing costs.

Moreover, if a cylinder pressure sensor is installed in an existing system, it is necessary to once disassemble the internal combustion engine and then drill a hole in the engine head and insert the cylinder pressure sensor. For this reason, it is substantially difficult to install the system of Patent Document 1 in an internal combustion engine that is not equipped with a cylinder pressure sensor.

An object of the present invention is to provide a control device for an internal combustion engine that can estimate the fuel flow rate of the internal combustion engine without using the detection result of the cylinder pressure sensor.

A control device for an internal combustion engine according to one aspect of the present invention includes a current information acquisition unit that acquires current information from a motor connected to the internal combustion engine, and a current information acquisition unit that acquires current information from a motor connected to the internal combustion engine, and A fuel flow rate estimator that estimates the fuel flow rate of the engine.

According to the present invention, it is possible to provide a control device for an internal combustion engine that can estimate the fuel flow rate of the internal combustion engine without using the detection result of the cylinder pressure sensor.

FIG. 1 is a configuration diagram showing an engine system that is learning fuel flow rate according to a first embodiment. FIG. 2 is a configuration diagram showing an engine system during estimation of fuel flow rate according to the first embodiment. FIG. 3 is a functional block diagram showing a control device for an internal combustion engine according to the first embodiment. FIG. 4 is an explanatory diagram showing a cylinder discrimination method using current information according to the first embodiment. FIG. 5 is an explanatory diagram showing a method of calculating a torque component according to the first embodiment. FIG. 6A is an explanatory diagram showing the correlation between torque peak and fuel flow rate according to the first embodiment. FIG. 6B is an explanatory diagram showing the correlation between the torque peak angle and the fuel flow rate according to the first embodiment. FIG. 7 is an explanatory diagram showing a fuel flow rate estimation method according to the first embodiment. FIG. 8 is a flowchart showing a fuel flow rate learning process according to the first embodiment. FIG. 9 is a flowchart showing the fuel flow rate estimation process according to the first embodiment. FIG. 10A is an explanatory diagram showing the correlation between torque peak and main fuel flow rate according to the second embodiment. FIG. 10B is an explanatory diagram showing the correlation between the torque peak angle and the main fuel flow rate according to the second embodiment. FIG. 11 is an explanatory diagram showing a method for estimating the main fuel flow rate according to the second embodiment. FIG. 12 is a flowchart showing a sub-fuel flow rate learning process according to the second embodiment. FIG. 13 is a flowchart showing a sub-fuel flow rate estimation process according to the second embodiment.

Hereinafter, a control device for an internal combustion engine according to an embodiment will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiment described below. In the embodiment, the internal combustion engine is a stationary four-cylinder engine, and the electric motor is a synchronous motor. However, the control device for an internal combustion engine is not limited thereto, and can be applied to any internal combustion engine regardless of the number of cylinders or cylinder arrangement such as in-line or V-type. Further, as long as it is an electric motor, it can be applied regardless of the type of motor such as an induction motor or a permanent magnet motor. Furthermore, in the drawings used in the following description, common devices and devices are given the same reference numerals, and descriptions of the devices, devices, and operations that have already been described may be omitted.

<First embodiment>
[Engine system 100]
FIG. 1 is a configuration diagram showing an engine system 100 during learning of fuel flow rate according to the first embodiment. FIG. 2 is a configuration diagram showing the engine system 100 during estimation of fuel flow rate according to the first embodiment.

FIGS. 1 and 2 show an engine system 100 that includes a control device 1 for an internal combustion engine 2, an internal combustion engine 2 to be controlled by the control device 1, and an electric motor 3. The engine system 100 is provided with a power source 4, a control unit 5, and a current sensor 6.

The internal combustion engine 2 illustrated here is a four-cylinder engine having four cylinders. The internal combustion engine 2 operates an actuator in response to a control command from a control unit 5 to generate a desired combustion torque. The fuel that the internal combustion engine 2 burns is regular gasoline or high octane gasoline, light oil, waste food oil, hydrogen, or biomass fuel.

The internal combustion engine 2 has a cam sensor 7 that emits a cam trigger signal that notifies the start of the cylinder combustion section of the first cylinder and a cam trigger signal that notifies each cylinder combustion section.

As shown in FIG. 1, a fuel flow meter 8 that measures the fuel flow rate supplied to the internal combustion engine 2 is attached to the internal combustion engine 2 that learns the fuel flow rate. As shown in FIG. 2, the fuel flow meter 8 that measures the fuel flow rate supplied to the internal combustion engine 2 is removed from the internal combustion engine 2 in operation for estimating the fuel flow rate.

The illustrated electric motor 3 is a three-phase AC synchronous motor, rotates at the same speed as the internal combustion engine, and generates regenerative power by electromagnetic induction. That is, the electric motor 3 is a three-phase AC motor that rotates at the same speed as the internal combustion engine 2 and generates regenerative power by electromagnetic induction.

The power source 4 indicates an electric power system supplied by an electric power company, and can supply the electric power generated by the electric motor 3 to the electric power system. Here, the power source 4 is described as an electric power system of an electric power company, but it may be a storage battery or a capacitor.

The control unit 5 issues a control command to the internal combustion engine 2 to operate the actuator.

The current sensor 6 acquires current information I of the electric motor 3. When acquiring the current information I of the electric motor 3, there are two methods: a method using a clamp-type current sensor and a method using a Rogowski-type current sensor. The current information I acquired from the electric motor 3 needs to acquire at least two phases. That is, the current sensor 6 detects current information I from each of two or more electric wires that transmit current in two or more phases between the electric motor 3 and the power system to which the regenerated power generated by the electric motor 3 is supplied. .

Here, when the current sensor 6 acquires two phases of current information I, the current information I of the third phase becomes zero when the current information I of the first phase and the second phase are added together. Determine by utilizing the characteristics of alternating current.

[Control device 1 for internal combustion engine 2]
FIG. 3 is a functional block diagram showing the control device 1 for the internal combustion engine 2 according to the first embodiment. As shown in FIG. 3, the control device 1 for the internal combustion engine 2 includes a current information acquisition section 11, a torque component calculation section 12, a fuel flow rate learning section 13, and a fuel flow rate estimation section 15.

The control device 1 for the internal combustion engine 2 includes a memory 14, a display section 16, and a notification section 17. The memory 14 is a storage device such as a semiconductor memory. The display section 16 and the notification section 17 are notification sections that notify information to an operator and the like.

Specifically, the control device 1 of the internal combustion engine 2 is a computer equipped with hardware such as an arithmetic unit such as a CPU, a main storage device such as a semiconductor memory, an auxiliary storage device such as a hard disk, and a communication device. The control device 1 of the internal combustion engine 2 implements each of the above functions by executing a program loaded into the main storage device by a calculation device while referring to data recorded in the auxiliary storage device.

In the following, details of the current information acquisition unit 11, torque component calculation unit 12, fuel flow rate learning unit 13, and fuel flow rate estimation unit 15 will be explained while omitting well-known techniques of the control device 1 of the internal combustion engine 2 as appropriate.

[Current information acquisition unit 11]
The current information acquisition unit 11 acquires current information I from the electric motor 3 connected to the internal combustion engine 2. The current information acquisition unit 11 acquires current information I from the current sensor 6. It is desirable that the current information I obtained from the current sensor 6 be able to obtain current information I for at least two phases out of at least three phases (U phase, V phase, W phase) AC motor. For example, when the current information acquisition unit 11 acquires current information I for two phases, the U phase and the V phase, the current information I for the W phase is obtained from (Equation 1).

Iu, Iv, and Iw in (Formula 1) indicate current information I obtained from each of the U-phase, V-phase, and W-phase electric wires, respectively.

A cylinder discrimination method using current information I is illustrated using FIG. FIG. 4 is an explanatory diagram showing a cylinder discrimination method using current information I according to the first embodiment. The upper diagram in FIG. 4 shows data extracted from one phase of the current value acquired by the current information acquisition unit 11. The middle diagram in FIG. 4 shows the history of the voltage of a cam sensor attached to the camshaft portion of the internal combustion engine 2. The lower diagram in FIG. 4 shows the number of data on timing.

The current information I shows current information of a four-pole motor as an example. Two periods of electrical angle correspond to 180 degrees of mechanical angle. Therefore, the rise of the cam sensor voltage of the cam trigger signal that indicates the combustion section of each cylinder is synchronized with two electrical angle cycles.

Here, the cam sensor 7 is a sensor that generates a cam trigger signal that notifies each cylinder combustion section once every 180 degrees of mechanical angle. Further, the cam sensor 7 is a sensor that generates a cam trigger signal when notifying the start of the cylinder combustion section of the first cylinder.

Here, as shown in FIG. 4, a cam sensor 7 is illustrated in which two cam trigger signals are output when notifying the start of the cylinder combustion period of the first cylinder so that the first cylinder can be identified for cylinder discrimination. There is.

In this way, when a synchronous motor is employed, the rotational speed of the internal combustion engine 2 and the rotational speed of the electric motor 3 are usually synchronized. Therefore, slippage unlike in an induction motor does not occur. That is, in this embodiment, in controlling the internal combustion engine 2, the cam sensor 7 is used as a means for cylinder discrimination.

Note that by taking advantage of the characteristics of the current information I of the synchronous motor, it is also possible to discriminate the cylinder from the electrical angle determined from the number of poles of the motor 3 without using the cam sensor signal.

The current information acquisition unit 11 acquires the number of amplitude data of the alternating current value obtained from the cam trigger signal issued by the cam sensor 7 at the time of notifying the start of the cylinder combustion section of the first cylinder and at the time of the cam trigger signal notifying each cylinder combustion section, and the current information I. , and calculate the mechanical angle with the top dead center of each cylinder of the internal combustion engine 2 as 0 degrees.

Specifically, by counting the number of data of current information I at the time of cylinder discrimination, it is possible to obtain the mechanical angle with the top dead center of each cylinder as 0 degrees using (Formula 2).

Here, L1 represents the number of data from one cam trigger signal to the next cam trigger signal. Lt1 represents the number of data of current information I from the cam trigger signal up to the desired mechanical angle θ1. L2 is the number of data from a certain trigger signal to the cam trigger signal of one cylinder after another. Lt2 represents the number of data from the cam trigger signal up to the desired mechanical angle θ2.

Note that, based on the current information I, the current information acquisition unit 11 can also obtain the electrical angle from the number of poles of the electric motor 3 whose rotational speed is synchronized with that of the internal combustion engine 2.

As described above, the current information acquisition unit 11 uses the current information I detected by the current sensor 6 to calculate at least one of the electrical angle and mechanical angle of the internal combustion engine 2.

[Torque component calculation unit 12]
The torque component calculating section 12 calculates the torque component of the internal combustion engine 2 using the current information I in the internal combustion engine 2. That is, the torque component calculation unit 12 synchronizes the angle of each cylinder of the internal combustion engine 2 by considering at least one of the electrical angle and the mechanical angle of the internal combustion engine 2, which are simultaneously calculated using the current information I acquired from the current information acquisition unit 11. At least one of the torque peak and the torque peak angle of the internal combustion engine 2 is calculated by converting into current information and angle-synchronizing the peak characteristics obtained from the current information I.

Specifically, the torque component calculation unit 12 calculates the torque component applied to the electric motor 3 using the three-phase current information I. The torque component is determined by Iq in (Equation 3).

This makes it possible to convert the current information I into angle-synchronized current information for each cylinder and angle-synchronize the peak characteristics obtained from the current information I.

The waveform of the torque component calculated by the torque component calculation unit 12 will be explained with reference to FIG. 5 as an example. FIG. 5 is an explanatory diagram showing a method of calculating a torque component according to the first embodiment.

The torque component calculated by the torque component calculation unit 12 has a waveform as shown in FIG. 5, for example. This waveform conforms to the fact that the torque component obtained by (Equation 3) is a torque component detected on the electric motor 3 side, and therefore the sign of the torque component of the internal combustion engine 2 is reversed. In the data shown in FIG. 5, the torque shows a negative value because it is necessary to push the piston up to top dead center before combustion in each cylinder, but after the cylinder combustion, the torque is a positive value and work is sent to the electric motor 3. These values are shown in order to do so.

Here, as the torque peak after combustion in the first cylinder, for example, point P shown in FIG. 5 is selected. After combustion torque is generated in the internal combustion engine 2, power is transmitted to the electric motor 3 under the influence of the inertia of the flywheel.

Furthermore, the crank angle at which the torque peak at point P is detected is defined as the torque peak angle θP. Here, the average of torque peaks P is defined as Pa, and the average of torque peak angles θP is defined as torque peak angle θPa. The average here means a cycle average, and is obtained by obtaining an average of 100 cycles, for example.

[Fuel flow rate learning section 13]
The fuel flow rate learning unit 13 uses the current information I in the internal combustion engine 2 to determine the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. Calculate. The fuel flow rate learning unit 13 generates a learning model by learning the correlation between at least one of the torque peak and the torque peak angle and the fuel flow rate acquired from the fuel flow meter 8.

Next, a method of learning the fuel flow rate will be explained. FIG. 6A is an explanatory diagram showing the correlation between torque peak and fuel flow rate according to the first embodiment. Specifically, FIG. 6A shows the average Pa of the torque peak P and the average fuel flow rate Fa for a certain cylinder. The average fuel flow rate Fa may be obtained by installing a fuel flow meter 8 only during learning, or may be obtained from a memory line of a fuel tank installed in the internal combustion engine 2.

FIG. 6B is an explanatory diagram showing the correlation between the torque peak angle and the fuel flow rate according to the first embodiment. FIG. 6B shows the average torque peak angle θPa and the average fuel flow rate Fa for a certain cylinder.

The internal combustion engine 2 is controlled by determining the fuel flow rate F from the required power amount of the electric power system, and the torque peak Pa and the torque peak angle average θPa have different proportional relationships with the average fuel flow rate Fa. This proportional relationship has been discovered through intensive research by the inventor.

For example, when the command value of the operating torque condition of the internal combustion engine 2 is changed, the fuel flow control command value of the control unit 5 is changed accordingly. As a result, the values of the torque peak average Pa and the torque peak angle average θPa vary while having a correlation. That is, by learning the value of the torque peak P linked to the operating torque condition, it is possible to estimate the fuel flow rate of the internal combustion engine 2.

Here, the learning of the torque peak average Pa and the torque peak angle average θPa refers to the following learning. First, at least one of the torque peak average Pa and the torque peak angle average θPa linked to the command value of the operating torque condition is converted into a function as a proportional relationship with the fuel flow rate. Next, the proportional relationship converted into a function is learned as a fuel flow rate learning model MB.

[Fuel flow rate estimation unit 15]
The fuel flow rate estimation unit 15 estimates the fuel flow rate of the internal combustion engine 2 based on the current information I acquired from the current information acquisition unit 11.

Specifically, the fuel flow rate estimating unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculating unit 12. The fuel flow rate of the internal combustion engine 2 during operation is calculated based on the calculation result of at least one of the torque peak angles and the correlation between the torque peak and at least one of the torque peak angles and the fuel flow rate in the fuel flow rate learning model MB. presume.

FIG. 7 is an explanatory diagram showing a fuel flow rate estimation method according to the first embodiment. FIG. 7 is a diagram in which the average fuel flow rate estimate F'a estimated from the torque peak average Pa or the torque peak angle average θPa is plotted for each time series.

The fuel flow rate estimating unit 15 outputs the average fuel flow rate estimated value F'a, the upper limit threshold value F'amax, and the lower limit threshold value F'amin from the fuel flow rate learning model MB by the fuel flow rate learning unit 13. The upper limit threshold value F'amax and the lower limit threshold value F'amin are values that distinguish between a normal fuel flow rate and an abnormal fuel flow rate of the internal combustion engine 2, which are set in advance. The upper limit threshold F'amax and the lower limit threshold F'amin are determined, for example, based on data collected during learning.

In other words, when the estimated fuel flow rate of the internal combustion engine 2 exceeds a preset threshold value that distinguishes between a normal fuel flow rate and an abnormal fuel flow rate, the fuel flow rate estimation unit 15 determines the combustion state of the internal combustion engine 2 during operation. Determined as abnormal.

Here, if the average fuel flow rate estimate F'a exceeds the upper limit threshold F'amax or if the average fuel flow rate estimate F'a is lower than the lower limit threshold F'amin, the display unit 16 indicates an abnormal fuel flow rate. At the same time, the notification unit 17 notifies the operator of the abnormality in the fuel flow rate using text, voice, light, or the like.

The display unit 16 displays real-time time series data of the fuel flow rate estimated by the fuel flow estimation unit 15, so that the operator can confirm monitoring of the combustion status.

The display unit 16 may be physically connected to the control device 1 of the internal combustion engine 2, or may be connected wirelessly such as Bluetooth (registered trademark) or Wi-Fi (registered trademark). .

The notification unit 17 notifies the operator and the supervisor of the abnormal state of the combustion state when the fuel flow rate estimation unit 15 determines that the fuel flow rate is abnormal. The notification unit 17 may be an acoustic device that provides notification using a buzzer or a flashing device that provides visual notification.

The display unit 16 and the notification unit 17 are notification units that notify the abnormality of the combustion state when the combustion state of the internal combustion engine 2 during operation is abnormal.

[Learning process]
Here, details of the learning process in the control device 1 of the internal combustion engine 2 will be explained using the flowchart of FIG. FIG. 8 is a flowchart showing a fuel flow rate learning process according to the first embodiment. Note that this learning process may be performed every predetermined period of time, or may be performed in response to an instruction from the operator. Here, a fuel flow meter 8 that measures the flow rate of fuel supplied to the internal combustion engine 2 is attached to the internal combustion engine that is undergoing the learning process.

In step S801, the current information acquisition unit 11 acquires current information I. After the process in step S801, the process advances to step S802.

In step S802, the torque component calculation unit 12 calculates a torque component from the current information I acquired in step S801. After the process in step S802, the process advances to step S803.

In step S803, the fuel flow meter 8 attached to the internal combustion engine 2 acquires the average fuel flow rate Fa. Note that the average fuel flow rate Fa may be obtained by using the fuel flow meter 8 attached to the internal combustion engine 2, or by reading the memory of the fuel tank by the measurer. After determining the average fuel flow rate Fa in step S803, the process advances to step S804.

In step S804, the fuel flow rate learning unit 13 generates a fuel flow rate learning model MB from the torque components (Pa, θPa) acquired in step S802 and the average fuel flow rate Fa acquired in step S803. The fuel flow rate learning model MB is stored in the memory 14. After the process in step S804, the learning process ends.

[Estimation processing]
Here, details of the estimation process in the control device 1 of the internal combustion engine 2 will be explained using the flowchart of FIG. FIG. 9 is a flowchart showing the fuel flow rate estimation process according to the first embodiment. Note that this estimation process may be performed every predetermined period of time, or may be performed in response to an instruction from the operator. Here, in the internal combustion engine 2 that is in operation and whose fuel flow rate is estimated by the fuel flow rate estimating section 15, the fuel flow meter 8 that measures the fuel flow rate supplied to the internal combustion engine 2 is removed.

In step S901, the current information acquisition unit 11 acquires current information I. After the process in step S901, the process advances to step S902.

In step S902, the torque component calculation unit 12 calculates a torque component from the current information I acquired in step S901. After the process in step S902, the process advances to step S903.

In step S903, the fuel flow rate estimation unit 15 reads the fuel flow rate learning model MB linked to the torque component calculated in step S902 from the memory 14. After the process in step S903, the process advances to step S904.

In step S904, the fuel flow rate estimation unit 15 estimates the fuel flow rate of the internal combustion engine 2 in operation from the fuel flow rate learning model MB read in step S903. After the process in step S904, the process advances to step S905.

In step S905, the fuel flow rate estimation unit 15 determines whether the fuel flow rate exceeds a preset threshold value and there is an abnormality in the fuel flow rate and an abnormality in the combustion state. If the fuel flow rate estimating unit 15 determines that the fuel flow rate exceeds a preset threshold and the combustion state is abnormal, the process proceeds to step S906. Further, if the fuel flow rate estimating unit 15 does not determine that the fuel flow rate is abnormal in the combustion state because the fuel flow rate does not exceed a preset threshold value, the combustion state is determined to be normal and the estimation process ends.

In step SS906, the fuel flow estimation section 15 displays the abnormality in the combustion state on the display section 16 or notifies the notification section 17 in order to inform the operator that an abnormality in the combustion state has occurred, and the estimation process ends. do.

Note that if there is fuel replenishment or addition of fuel, the estimation process returns to the learning process.

<<Effects of this embodiment>>
The fuel flow rate estimation unit 15 uses the fuel flow rate learning model MB stored in the memory 14 by the fuel flow rate learning unit 13 to estimate the fuel flow rate from the current information I obtained by the current information acquisition unit 11.

According to the present embodiment, the fuel flow rate learning model MB that estimates the fuel flow rate from the current information I allows effective It becomes possible to notify the operator of abnormalities in the combustion state.

<Second embodiment>
Next, a control device 1 for an internal combustion engine 2 according to a second embodiment will be explained. Note that redundant explanation of common points with the first embodiment will be omitted. In the second embodiment, a case will be described in which two or more types of fuel are used as fuel. For example, assume that light oil is introduced as the main fuel and hydrogen is introduced as the auxiliary fuel.

Here, the internal combustion engine 2 under learning is equipped with a fuel flow meter 8 that measures at least one of the main fuel flow rate and the auxiliary fuel flow rate supplied to the internal combustion engine 2. In the operating internal combustion engine 2 in which at least one of the main fuel flow rate and the auxiliary fuel flow rate is estimated, the fuel flow meter that measures at least one of the main fuel flow rate and the auxiliary fuel flow rate supplied to the internal combustion engine 2 is removed. There is. Here, the fuel flow meter 8 measures the main fuel flow rate. The fuel flow meter 8 only needs to be able to measure either the main fuel flow rate or the auxiliary fuel flow rate.

[Fuel flow rate learning section 13]
The fuel flow rate learning unit 13 uses the current information I in the internal combustion engine 2 to determine the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. Calculate. The fuel flow rate learning unit 13 generates a fuel flow rate learning model MB by learning the correlation between the torque peak, the torque peak angle, and the main fuel flow rate acquired from the fuel flow meter 8.

FIG. 10A is an explanatory diagram showing the correlation between torque peak and main fuel flow rate according to the second embodiment. FIG. 10A shows the average Pa of the torque peak P and the average main fuel flow rate Fa1 in a certain cylinder.

The average main fuel flow rate Fa1 is obtained by installing the fuel flow meter 8 only during learning. Note that the average main fuel flow rate Fa1 may be acquired from a memory line of a fuel tank installed in the internal combustion engine 2.

Here, the two broken lines sandwiching the solid line in FIG. 10A indicate the range of the average torque peak Pa when the main fuel and the auxiliary fuel are used together. The range of the average torque peak Pa has a predetermined width because the torque peak varies depending on the introduction amount of the average auxiliary fuel flow rate Fa2. This is because the combustion energy fluctuates due to co-firing with different blending ratios of the main fuel and the auxiliary fuel.

FIG. 10B is an explanatory diagram showing the correlation between the torque peak angle and the main fuel flow rate according to the second embodiment. FIG. 10B shows the average torque peak angle θPa and the average main fuel flow rate Fa1 for a certain cylinder.

Here, the two broken lines sandwiching the solid line in FIG. 10B indicate the range of the average torque peak angle θPa when the main fuel and the auxiliary fuel are used together. The range of the average torque peak angle θPa has a predetermined width because the average torque peak angle θPa varies depending on the amount of introduced average sub-fuel flow rate Fa2. This is because the combustion energy fluctuates due to co-firing with different blending ratios of the main fuel and the auxiliary fuel.

The internal combustion engine 2 determines and controls the main fuel flow rate and the auxiliary fuel flow rate based on the amount of power required by the power system. The inventor's extensive research has revealed that the torque peak Pa and the average torque peak angle θPa vary depending on the blending amount of the average main fuel flow rate Fa1 and the average auxiliary fuel flow rate Fa2.

For example, when the command value of the operating torque condition of the internal combustion engine 2 is changed, the blending amount of the main fuel flow rate and the auxiliary fuel flow rate is derived in the control unit 5 by referring to a map. Then, the fuel flow rate control command value is changed, and the torque peak average Pa and torque peak angle average θPa vary in value with a correlation.

In other words, by learning the value of at least one of the torque peak average Pa and the torque peak angle average θPa linked to the operating torque condition, either the average main fuel flow rate Fa1 or the average auxiliary fuel flow rate Fa2 is obtained. If possible, it becomes possible to estimate the main fuel flow rate or the auxiliary fuel flow rate of the internal combustion engine 2.

As shown in FIGS. 10A and 10B, the torque peak average Pa linked to the operating torque condition, the estimated value of either the average main fuel flow rate Fa1 or the average auxiliary fuel flow rate Fa2, the torque peak angle average θPa, and the average The estimated value of either the main fuel flow rate Fa1 or the average auxiliary fuel flow rate Fa2 has a different proportional relationship. Therefore, by considering the proportional relationship for both the torque peak average Pa and the torque peak angle average θPa, the main fuel flow rate or the auxiliary fuel flow rate of the internal combustion engine 2 can be estimated with higher accuracy.

Here, the learning of the torque peak average Pa and the torque peak angle average θPa refers to the following learning. First, at least one of the torque peak average Pa and the torque peak angle average θPa linked to the command value of the operating torque condition is converted into a function as a proportional relationship with the main fuel flow rate or the auxiliary fuel flow rate fuel flow rate. Next, the proportional relationship converted into a function is learned as a fuel flow rate learning model MB.

[Fuel flow rate estimation unit 15]
The fuel flow estimation unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. The auxiliary fuel flow rate of the internal combustion engine 2 during operation is estimated based on the calculation results and the correlation between the torque peak, the torque peak angle, and the main fuel flow rate in the fuel flow rate learning model MB.

FIG. 11 is an explanatory diagram showing a method for estimating the main fuel flow rate according to the second embodiment. FIG. 11 shows a map of the average auxiliary fuel flow rate Fa2 at the torque peak average P, the torque peak angle average θPa, and the average main fuel flow rate Fa1.

It is known that the torque peak average P and the torque peak angle average θP change as shown in the heat map of FIG. 11 depending on the blending amount of the average main fuel flow rate Fa1 and the average subfuel flow rate Fa2. The heat map is shown in shading, and the darker the density, the higher the average sub-fuel flow rate Fa2. According to this, it becomes possible to derive the average auxiliary fuel flow rate Fa2 by learning the relationship between the torque peak average Pa, the torque peak angle average θPa, and the average main fuel flow rate Fa1.

Further, the fuel flow rate estimating unit 15 determines that the combustion state of the internal combustion engine 2 during operation is abnormal when the estimated auxiliary fuel flow rate exceeds a preset threshold value that distinguishes between a normal fuel flow rate and an abnormal fuel flow rate. do.

[Learning process]
Here, details of the learning process in the control device 1 of the internal combustion engine 2 will be explained using the flowchart of FIG. 12. FIG. 12 is a flowchart showing a fuel flow rate learning process according to the second embodiment. Note that this learning process may be performed every predetermined period of time, or may be performed in response to an instruction from the operator. Here, a fuel flow meter 8 that measures the main fuel flow rate supplied to the internal combustion engine 2 is attached to the internal combustion engine 2 that is undergoing the learning process.

In step S1201, the current information acquisition unit 11 acquires current information I. After the process in step S1201, the process advances to step S1202.

In step S1202, the torque component calculation unit 12 calculates a torque peak average Pa and a torque peak angle average θPa as torque components from the current information I acquired in step S1201. After the process in step S1202, the process advances to step S1203.

In step S1203, the fuel flow meter 8 attached to the internal combustion engine 2 acquires the average main fuel flow rate Fa1. Note that the average main fuel flow rate Fa1 may be obtained using a fuel flow meter attached to the internal combustion engine 2, or may be read from the memory of the fuel tank by a measurer. After determining the average main fuel flow rate Fa1 in step S1203, the process advances to step S1204.

In step S1204, the fuel flow rate learning unit 13 calculates the fuel flow rate learning model MB (function The torque peak angle average Pa, the torque peak angle average θPa, and the average auxiliary fuel flow rate Fa2 (proportional relationship) are generated.

Note that, as shown in FIGS. 10A and 10B, the average auxiliary fuel flow rate Fa2 can be estimated from the torque peak average Pa linked to the operating torque condition and the estimated value of the average main fuel flow rate Fa1. Further, the average auxiliary fuel flow rate Fa2 can be estimated from the average torque peak angle θPa and the estimated average main fuel flow rate Fa1. Therefore, by considering the proportional relationship for both the torque peak average Pa and the torque peak angle average θPa, if the estimated value of the average main fuel flow rate Fa1 is known, the average auxiliary fuel flow rate Fa2 of the internal combustion engine 2 can be estimated. can.

Then, the fuel flow rate learning model MB is stored in the memory 14. After the process in step S1204, the learning process ends.

[Estimation processing]
Here, details of the estimation process in the control device 1 of the internal combustion engine 2 will be explained using the flowchart of FIG. 13. FIG. 13 is a flowchart showing a fuel flow rate estimation process according to the second embodiment. Note that this estimation process may be performed every predetermined period of time, or may be performed in response to an instruction from the operator. Here, in the internal combustion engine 2 that is in operation and whose fuel flow rate is estimated by the fuel flow rate estimating section 15, the fuel flow meter 8 that measures the main fuel flow rate supplied to the internal combustion engine 2 is removed.

In step S1301, the current information acquisition unit 11 acquires current information I. After the process in step S1301, the process advances to step S1302.

In step S1302, the torque component calculation unit 12 calculates a torque peak average Pa and a torque peak angle average θPa as torque components from the current information I acquired in step S1301. After the process in step S1302, the process advances to step S1303.

In step S1303, the fuel flow rate estimating unit 15 extracts from the memory 14 a fuel flow rate learning model MB (functioned torque peak average Pa, torque peak angle average θPa, and average auxiliary fuel flow rate) linked to the torque component calculated in step S1302. Fa2 proportional relationship). After the process in step S1303, the process advances to step S1304.

In step S1304, the fuel flow rate estimating unit 15 calculates the internal combustion during operation based on the fuel flow rate learning model MB (the proportional relationship between the torque peak average Pa, the torque peak angle average θPa, and the average auxiliary fuel flow rate Fa2) read in step S1303. The average auxiliary fuel flow rate Fa2 of the engine 2 is estimated. That is, in step S1304, the average main fuel flow rate Fa1 is estimated from the torque peak average Pa and the torque peak angle average θPa, and at least one of the torque peak average Pa or the torque peak angle average θPa and the average main fuel flow rate Fa1 are estimated from the torque peak average Pa and the torque peak angle average θPa. The average sub-fuel flow rate Fa2 is estimated from the fuel flow rate Fa1. After the process in step S1304, the process advances to step S1305.

In step S1305, the fuel flow rate estimating unit 15 determines whether the average auxiliary fuel flow rate Fa2 exceeds a preset threshold value and there is an abnormality in the fuel flow rate and an abnormality in the combustion state. If the fuel flow rate estimating unit 15 determines that the average sub-fuel flow rate Fa2 exceeds a preset threshold and the combustion state is abnormal, the process proceeds to step S1306. Further, if the average auxiliary fuel flow rate Fa2 does not exceed a preset threshold value and no abnormality in the combustion state is determined by the fuel flow rate estimating unit 15, the combustion state is determined to be normal and the estimation process ends.

In step S1306, the fuel flow estimation unit 15 displays the abnormality in the combustion state on the display unit 16 or notifies the notification unit 17 in order to notify the operator that an abnormality in the combustion state has occurred, and the estimation process ends. do.

Note that if there is replenishment of at least one of the main fuel or auxiliary fuel, or addition of at least one of the main fuel or auxiliary fuel, the estimation process temporarily returns to the learning process.

In this embodiment, the fuel flow rate learning model MB of the average main fuel flow rate Fa1 is learned in the learning process, and the average auxiliary fuel flow rate Fa2 is estimated in the estimation process. However, it is not limited to this. For example, the fuel flow rate learning model MB of the average auxiliary fuel flow rate Fa2 may be learned in the learning process, and the average main fuel flow rate Fa1 may be estimated in the estimation process. In addition, in the learning process, the fuel flow rate learning model MB for either the average main fuel flow rate Fa1 or the average subfuel flow rate Fa2 is learned, and in the estimation process, both the average main fuel flow rate Fa1 and the average subfuel flow rate Fa2 are estimated. may be done.

<<Effects of this embodiment>>
The fuel flow rate estimation unit 15 estimates the combustion state from the current information I obtained by the current information acquisition unit 11 using the fuel flow rate learning model MB stored in the memory 14 by the fuel flow rate learning unit 13.

According to the present embodiment, the fuel flow rate learning model MB that estimates the combustion state from the current information I can be used even when, for example, there is no knock sensor, cylinder pressure sensor, or fuel flow sensor in the control device 1 of the internal combustion engine 2 or there is a malfunction. , it becomes possible to effectively notify the operator of abnormalities in the combustion state.

Furthermore, when assuming a diesel engine that co-combusts different fuels, such as introducing hydrogen as a premixture and injecting light oil as the main combustion, it is easy to identify the cause of combustion fluctuations because no cylinder pressure sensor is used.

<<Effects of differences from conventional technology>>
(A)
The control device 1 for the internal combustion engine 2 includes a current information acquisition unit 11 that acquires current information I from the electric motor 3 connected to the internal combustion engine 2 . The control device 1 for the internal combustion engine 2 includes a fuel flow rate estimation unit 15 that estimates the fuel flow rate of the internal combustion engine 2 based on the current information I acquired from the current information acquisition unit 11.

According to this configuration, it is possible to provide the control device 1 for the internal combustion engine 2 that can estimate the fuel flow rate of the internal combustion engine 2 without using the detection result of the cylinder pressure sensor. Here, the control device 1 for the internal combustion engine 2 may control an existing system in which a cylinder pressure sensor is not installed or a system for the internal combustion engine 2 in which the cylinder pressure sensor has failed. Even in that case, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(B)
The control device 1 for the internal combustion engine 2 includes a torque component calculating section 12 that calculates a torque component of the internal combustion engine 2 using current information I in the internal combustion engine 2. The control device 1 of the internal combustion engine 2 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation section 12. A fuel flow rate learning unit 13 is provided that calculates at least one of the peak angles and generates a fuel flow rate learning model MB by learning the correlation between the torque peak and at least one of the torque peak angles and the fuel flow rate. The fuel flow estimation unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. The fuel flow rate of the internal combustion engine 2 is estimated based on the calculation result of at least one of the above and the correlation between the fuel flow rate and at least one of the torque peak and the torque peak angle in the fuel flow rate learning model MB.

According to this configuration, the fuel flow rate of the internal combustion engine 2 can be estimated based on the correlation between the fuel flow rate and at least one of the torque peak and the torque peak angle learned by the fuel flow rate learning section 13.

(C)
The fuel flow estimation unit 15 determines that the combustion state of the internal combustion engine 2 is abnormal when the estimated fuel flow rate of the internal combustion engine 2 exceeds a preset threshold value that distinguishes between a normal fuel flow rate and an abnormal fuel flow rate.

According to this configuration, the combustion state of the internal combustion engine 2 can be appropriately controlled based on the estimated fuel flow rate of the internal combustion engine 2.

(D)
The control device 1 for the internal combustion engine 2 includes a torque component calculating section 12 that calculates a torque component of the internal combustion engine 2 using current information I in the internal combustion engine 2. The control device 1 of the internal combustion engine 2 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation section 12. A fuel flow rate learning unit 13 is provided which generates a fuel flow rate learning model MB by calculating the peak angle and learning the correlation between the torque peak, the torque peak angle, and at least one of the main fuel flow rate and the auxiliary fuel flow rate. The fuel flow estimation unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. The auxiliary fuel flow rate of the internal combustion engine is estimated based on the calculation result and the correlation between the torque peak and torque peak angle in the fuel flow rate learning model MB and at least one of the main fuel flow rate and the auxiliary fuel flow rate.

According to this configuration, the auxiliary fuel flow rate of the internal combustion engine 2 can be estimated based on the correlation between the torque peak and torque peak angle learned by the fuel flow rate learning section 13 and at least one of the main fuel flow rate and the auxiliary fuel flow rate. I can do it.

(E)
The fuel flow estimation unit 15 determines whether at least one of the estimated main fuel flow rate and the sub fuel flow rate is normal when the main fuel flow rate and the sub fuel flow rate are set in advance, and when at least one of the main fuel flow rate and the sub fuel flow rate is abnormal. If the dividing threshold is exceeded, the combustion state of the internal combustion engine 2 is determined to be abnormal.

According to this configuration, the fuel flow rate estimation unit 15 uses at least one fuel flow rate learning model MB of the main fuel flow rate and the auxiliary fuel flow rate estimated by the fuel flow rate learning unit 13 to determine the main fuel flow rate during operation of the internal combustion engine 2. and at least one of the secondary fuel flow rate can be estimated. Then, when at least one of the main fuel flow rate and the auxiliary fuel flow rate estimated by the fuel flow rate estimation unit 15 exceeds a preset threshold value, the combustion state of the internal combustion engine 2 can be determined to be abnormal. In this way, at least one of the main fuel flow rate and the auxiliary fuel flow rate of the internal combustion engine 2 during operation can be estimated, and the combustion state of the internal combustion engine 2 can be appropriately controlled.

(F)
The fuel that the internal combustion engine 2 burns is regular gasoline or high octane gasoline, light oil, waste food oil, hydrogen, or biomass fuel.

With this configuration, the internal combustion engine 2 that uses various fuels can be appropriately controlled without using information from an expensive cylinder pressure sensor.

(G)
The electric motor 3 is a three-phase AC motor that rotates at the same speed as the internal combustion engine 2 and generates regenerative power by electromagnetic induction. A current sensor 6 is provided that detects current information from each of two or more electric wires that transmit current in two or more phases between the electric motor 3 and a power system to which regenerative power generated by the electric motor 3 is supplied. . The current information acquisition unit 11 uses the current information I detected by the current sensor 6 to calculate at least one of an electrical angle and a mechanical angle of the internal combustion engine 2.

With this configuration, the fuel flow rate of the internal combustion engine 2 can be estimated using the current information I acquired from the electric motor 3 driven by the internal combustion engine 2. Thereby, the fuel flow rate of the internal combustion engine 2 during operation can be estimated and the internal combustion engine 2 can be appropriately controlled without using information from an expensive cylinder pressure sensor. Therefore, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(H)
The internal combustion engine 2 includes a cam sensor 7 that generates a cam trigger signal that indicates the start of the cylinder combustion section of the first cylinder and a cam trigger signal that indicates the combustion section of each cylinder. The current information acquisition unit 11 acquires the number of amplitude data of the alternating current value obtained from the cam trigger signal issued by the cam sensor 7 at the time of notifying the start of the cylinder combustion section of the first cylinder and at the time of the cam trigger signal notifying each cylinder combustion section, and the current information I. , and calculate the mechanical angle with the top dead center of each cylinder of the internal combustion engine 2 as 0 degrees.

With this configuration, the fuel flow rate of the internal combustion engine 2 during operation can be estimated based on the mechanical angle of the internal combustion engine 2 calculated using the current information I of the electric motor 3. Thereby, the internal combustion engine 2 can be appropriately controlled without using information from an expensive cylinder pressure sensor. Therefore, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(I)
Based on the current information I, the current information acquisition unit 11 obtains an electrical angle from the number of poles of the electric motor 3 whose rotational speed is synchronized with that of the internal combustion engine 2.

With this configuration, the fuel flow rate of each cylinder of the internal combustion engine 2 during operation can be estimated based on the electrical angle of the internal combustion engine 2 calculated using the current information I of the electric motor 3. Thereby, the internal combustion engine 2 can be appropriately controlled without using information from an expensive cylinder pressure sensor. Therefore, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(J)
The electric motor 3 is a three-phase AC motor that rotates at the same speed as the internal combustion engine 2 and generates regenerative power by electromagnetic induction. A current sensor 6 is provided to detect current information I from each of two or more electric wires that transmit current in two or more phases between the electric motor 3 and a power system to which regenerated power generated by the electric motor 3 is supplied. There is. The current information acquisition unit 11 uses the current information I detected by the current sensor 6 to calculate at least one of an electrical angle and a mechanical angle of the internal combustion engine 2. A fuel flow meter 8 that measures the flow rate of fuel supplied to the internal combustion engine 2 is attached to the internal combustion engine 2 . The control device 1 of the internal combustion engine 2 converts the current information I acquired from the current information acquisition unit 11 into angle-synchronized current information for each cylinder of the internal combustion engine 2, and angle-synchronizes the peak characteristics obtained from the current information I. Accordingly, the present invention includes a torque component calculation unit 12 that calculates at least one of a torque peak and a torque peak angle of the internal combustion engine 2. The control device for the internal combustion engine 2 uses the current information I in the internal combustion engine 2 to calculate a torque peak and a torque peak after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. a fuel flow rate learning unit 13 that generates a fuel flow rate learning model MB by calculating at least one of the angles and learning the correlation between the torque peak and at least one of the torque peak angles and the fuel flow rate acquired from the fuel flow meter 8; Equipped with.

According to this configuration, the fuel flow rate learning unit 13 can learn the fuel flow rate of the internal combustion engine 2 based on the current information I acquired from the current information acquisition unit 11 and the fuel flow rate acquired from the fuel flow meter 8. Therefore, it is possible to provide a control device 1 for an internal combustion engine 2 that can estimate the fuel flow rate of the internal combustion engine 2 without using the detection result of the cylinder pressure sensor. Here, the control device 1 for the internal combustion engine 2 may control an existing system in which a cylinder pressure sensor is not installed or a system for the internal combustion engine 2 in which the cylinder pressure sensor has failed. Even in that case, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(K)
The fuel flow estimation unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. Estimating the fuel flow rate of the internal combustion engine 2 during operation based on the calculation result of at least one of the following, and the correlation between the fuel flow rate and at least one of the torque peak and the torque peak angle in the fuel flow rate learning model MB, When the fuel flow rate of the internal combustion engine 2 in operation exceeds a preset threshold value that distinguishes between a normal fuel flow rate and an abnormal fuel flow rate, the combustion state of the internal combustion engine 2 in operation is determined to be abnormal. The control device 1 for the internal combustion engine 2 includes a display section 16 and a notification section 17 that notify the abnormality of the combustion state when the combustion state of the internal combustion engine 2 during operation is abnormal.

According to this configuration, the torque component of the internal combustion engine 2 calculated by the fuel flow estimation section 15 using the current information I, and the torque peak and torque peak angle in the fuel flow learning model MB learned by the fuel flow learning section 13. The fuel flow rate of the internal combustion engine 2 during operation can be estimated using the correlation between at least one and the fuel flow rate. Then, when the fuel flow rate estimated by the fuel flow rate estimation unit 15 exceeds a preset threshold value, the combustion state of the internal combustion engine 2 during operation can be determined to be abnormal. In this way, the fuel flow rate of the internal combustion engine 2 can be estimated and the combustion state of the internal combustion engine 2 can be appropriately controlled.

(L)
In the internal combustion engine 2 in operation, whose fuel flow rate is estimated by the fuel flow rate estimator 15, the fuel flow meter 8 that measures the fuel flow rate supplied to the internal combustion engine 2 is removed.

According to this configuration, the fuel flow meter 8, which is unnecessary for the internal combustion engine 2 in operation, can be removed, and a simple system can be constructed.

(M)
The electric motor 3 is a three-phase AC motor that rotates at the same speed as the internal combustion engine 2 and generates regenerative power by electromagnetic induction. A current sensor 6 is provided to detect current information I from each of two or more electric wires that transmit current in two or more phases between the electric motor 3 and a power system to which regenerated power generated by the electric motor 3 is supplied. There is. The current information acquisition unit 11 uses the current information I detected by the current sensor 6 to calculate at least one of an electrical angle and a mechanical angle of the internal combustion engine 2. A fuel flow meter 8 is attached to the internal combustion engine 2 to measure at least one of the main fuel flow rate and the auxiliary fuel flow rate supplied to the internal combustion engine 2. The control device 1 of the internal combustion engine 2 converts the current information I acquired from the current information acquisition unit 11 into angle-synchronized current information for each cylinder of the internal combustion engine 2, and angle-synchronizes the peak characteristics obtained from the current information I. Accordingly, a torque component calculation unit 12 is provided that calculates the torque peak and torque peak angle of the internal combustion engine 2. The control device for the internal combustion engine 2 uses the current information I in the internal combustion engine 2 to calculate a torque peak and a torque peak after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation section 12. fuel flow rate learning that generates a fuel flow rate learning model MB by calculating the angle and learning the correlation between the torque peak, the torque peak angle, and at least one of the main fuel flow rate and the auxiliary fuel flow rate acquired from the fuel flow meter 8. A section 13 is provided.

According to this configuration, the fuel flow rate learning unit 13 determines the internal combustion engine 2 based on the current information I acquired from the current information acquisition unit 11 and at least one of the main fuel flow rate and the auxiliary fuel flow rate acquired from the fuel flow meter 8. At least one of the main fuel flow rate and the secondary fuel flow rate can be learned. Therefore, it is possible to provide a control device 1 for an internal combustion engine 2 that can estimate at least one of the main fuel flow rate and the auxiliary fuel flow rate of the internal combustion engine 2 without using the detection result of the cylinder pressure sensor. Here, the control device 1 for the internal combustion engine 2 may control an existing system in which a cylinder pressure sensor is not installed or a system for the internal combustion engine 2 in which the cylinder pressure sensor has failed. Even in that case, by estimating the fuel flow rate of the internal combustion engine 2, it is possible to construct an inexpensive system that supplies stable power to the power grid while suppressing combustion fluctuations of the internal combustion engine 2.

(N)
The fuel flow estimation unit 15 uses the current information I in the internal combustion engine 2 to calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine 2 from the torque component of the internal combustion engine 2 calculated by the torque component calculation unit 12. The main fuel flow rate and Estimate at least one of the secondary fuel flow rates. The fuel flow rate estimating unit 15 detects when at least one of the main fuel flow rate and the auxiliary fuel flow rate of the internal combustion engine 2 during operation exceeds a preset threshold value for determining whether at least one of the main fuel flow rate and the auxiliary fuel flow rate is normal or abnormal. Then, the combustion state of the internal combustion engine 2 during operation is determined to be abnormal. The control device 1 for the internal combustion engine 2 includes a display section 16 and a notification section 17 that notify that the combustion state of the internal combustion engine 2 during operation is abnormal when the combustion state of the internal combustion engine 2 during operation is abnormal.

According to this configuration, the two torque components of the internal combustion engine calculated by the fuel flow estimation section 15 using the current information I, and the torque peak and torque peak angle in the fuel flow learning model MB learned by the fuel flow learning section 13. At least one of the main fuel flow rate and the sub fuel flow rate of the internal combustion engine 2 during operation can be estimated using the correlation between the main fuel flow rate and at least one of the main fuel flow rate and the sub fuel flow rate. If at least one of the main fuel flow rate and the auxiliary fuel flow rate estimated by the fuel flow rate estimation unit 15 exceeds a preset threshold value that distinguishes between normality and abnormality of at least one of the main fuel flow rate and the auxiliary fuel flow rate, The combustion state of the internal combustion engine 2 can be determined to be abnormal. In this way, at least one of the main fuel flow rate and the auxiliary fuel flow rate of the internal combustion engine 2 can be estimated, and the combustion state of the internal combustion engine 2 can be appropriately controlled.

(O)
In an operating internal combustion engine 2 in which the fuel flow rate estimator 15 estimates at least one of the main fuel flow rate and the auxiliary fuel flow rate, the fuel flow rate estimation unit 15 measures at least one of the main fuel flow rate and the auxiliary fuel flow rate supplied to the internal combustion engine 2. Flow meter 8 has been removed.

Although the embodiments have been described above, the above embodiments merely show a part of the application examples of the present invention, and are not intended to limit the technical scope of the present invention to the specific configurations of the above embodiments.

DESCRIPTION OF SYMBOLS 1... Control device for internal combustion engine, 2... Internal combustion engine, 3... Electric motor, 4... Power supply, 5... Control unit, 6... Current sensor, 7... Cam sensor, 8... Fuel flow meter, 11... Current information acquisition unit, 12... Torque component calculation section, 13...Fuel flow rate learning section, 14...Memory, 15...Fuel flow rate estimation section, 16...Display section, 17...Notification section, 100...Engine system

Claims

A control device for an internal combustion engine,
a current information acquisition unit that acquires current information from an electric motor connected to the internal combustion engine;
a fuel flow rate estimation unit that estimates a fuel flow rate of the internal combustion engine based on the current information acquired from the current information acquisition unit;
A control device for an internal combustion engine.
The control device for an internal combustion engine according to claim 1,
a torque component calculation unit that calculates a torque component of the internal combustion engine using the current information in the internal combustion engine;
Using the current information in the internal combustion engine, calculate at least one of a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. , a fuel flow rate learning unit that generates a learning model by learning the correlation between at least one of the torque peak and the torque peak angle and the fuel flow rate;
Equipped with
The fuel flow rate estimation unit uses the current information in the internal combustion engine to calculate a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. A control device for an internal combustion engine that estimates a fuel flow rate of the internal combustion engine based on a calculation result of at least one of the above and a correlation between the fuel flow rate and at least one of a torque peak and a torque peak angle in the learning model.
The control device for an internal combustion engine according to claim 1,
The fuel flow estimator determines that the combustion state of the internal combustion engine is abnormal when the estimated fuel flow rate of the internal combustion engine exceeds a preset threshold value that distinguishes between a normal fuel flow rate and an abnormal fuel flow rate. Engine control equipment.
The control device for an internal combustion engine according to claim 1,
a torque component calculation unit that calculates a torque component of the internal combustion engine using the current information in the internal combustion engine;
Using the current information in the internal combustion engine, calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit, and calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine. a fuel flow rate learning unit that generates a learning model by learning the correlation between the torque peak angle and at least one of the main fuel flow rate and the auxiliary fuel flow rate;
Equipped with
The fuel flow rate estimation unit uses the current information in the internal combustion engine to calculate a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. and the correlation between the torque peak and torque peak angle in the learning model and at least one of the main fuel flow rate and the sub fuel flow rate, the main fuel flow rate and the sub fuel flow rate of the internal combustion engine during operation are calculated. A control device for an internal combustion engine that estimates at least one fuel flow rate.
The internal combustion engine control device according to claim 4,
The fuel flow estimating unit is configured to detect the internal combustion engine when at least one of the estimated main fuel flow rate and the sub fuel flow rate exceeds a preset threshold value that distinguishes between normality and abnormality of at least one of the main fuel flow rate and the sub fuel flow rate. An internal combustion engine control device that determines the combustion state of the engine as abnormal.
The control device for an internal combustion engine according to claim 1,
The fuel that the internal combustion engine combusts is regular gasoline, high octane gasoline, light oil, food waste oil, hydrogen, or biomass fuel. A control device for an internal combustion engine.
The control device for an internal combustion engine according to claim 1,
The electric motor is a three-phase AC motor that rotates at the same speed as the internal combustion engine and generates regenerative power by electromagnetic induction,
A current sensor is provided that detects the current information from each of two or more electric wires that transmit current in two or more phases between the electric motor and a power system to which regenerated power generated by the electric motor is supplied,
The current information acquisition unit calculates at least one of an electrical angle and a mechanical angle of the internal combustion engine using the current information detected by the current sensor.
The internal combustion engine control device according to claim 7,
The internal combustion engine includes a cam sensor that emits a cam trigger signal that indicates the start of a cylinder combustion section of the first cylinder and a cam trigger signal that indicates each cylinder combustion section,
The current information acquisition unit is configured to acquire a cam trigger signal that is emitted when notifying the start of the cylinder combustion section of the first cylinder of the cam sensor and at the time of a cam trigger signal that notifies each cylinder combustion section, and the number of amplitude data of the alternating current value obtained from the current information. A control device for an internal combustion engine, which calculates a mechanical angle with the top dead center of each cylinder of the internal combustion engine as 0 degrees by counting and.
The internal combustion engine control device according to claim 7,
The current information acquisition unit obtains an electrical angle based on the current information from the number of poles of the electric motor whose rotational speed is synchronized with that of the internal combustion engine.
The control device for an internal combustion engine according to claim 1,
The electric motor is a three-phase AC motor that rotates at the same speed as the internal combustion engine and generates regenerative power by electromagnetic induction,
A current sensor is provided that detects the current information from each of two or more electric wires that transmit current in two or more phases between the electric motor and a power system to which regenerated power generated by the electric motor is supplied,
The current information acquisition unit calculates at least one of an electrical angle and a mechanical angle of the internal combustion engine using the current information detected by the current sensor,
A fuel flow meter is attached to the internal combustion engine to measure the flow rate of fuel supplied to the internal combustion engine,
By converting the current information acquired from the current information acquisition unit into angle-synchronized current information for each cylinder of the internal combustion engine and angle-synchronizing the peak characteristics obtained from the current information, the torque peak and a torque component calculation unit that calculates at least one torque peak angle;
Using the current information in the internal combustion engine, calculate at least one of a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. , a fuel flow rate learning unit that generates a learning model by learning a correlation between at least one of a torque peak and a torque peak angle and the fuel flow rate obtained from the fuel flow meter;
A control device for an internal combustion engine.
The internal combustion engine control device according to claim 10,
The fuel flow rate estimation unit uses the current information in the internal combustion engine to calculate a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. Estimating the fuel flow rate of the internal combustion engine during operation based on the calculation result of at least one of the following, and the correlation between the fuel flow rate and at least one of the torque peak and the torque peak angle in the learning model, determining that the combustion state of the internal combustion engine during operation is abnormal when the fuel flow rate of the internal combustion engine during operation exceeds a preset threshold value that separates a normal fuel flow rate and an abnormal fuel flow rate;
A control device for an internal combustion engine, comprising: a notification section that notifies an abnormal combustion state when the combustion state of the internal combustion engine during operation is abnormal.
The internal combustion engine control device according to claim 11,
A control device for an internal combustion engine, in which a fuel flow meter for measuring a fuel flow rate supplied to the internal combustion engine is removed from the internal combustion engine during operation when the fuel flow rate estimator estimates the fuel flow rate.
The control device for an internal combustion engine according to claim 1,
The electric motor is a three-phase AC motor that rotates at the same speed as the internal combustion engine and generates regenerative power by electromagnetic induction,
A current sensor is provided that detects the current information from each of two or more electric wires that transmit current in two or more phases between the electric motor and a power system to which regenerated power generated by the electric motor is supplied,
The current information acquisition unit calculates at least one of an electrical angle and a mechanical angle of the internal combustion engine using the current information detected by the current sensor,
A fuel flow meter is attached to the internal combustion engine to measure at least one of a main fuel flow rate and a secondary fuel flow rate supplied to the internal combustion engine,
By converting the current information acquired from the current information acquisition unit into angle-synchronized current information for each cylinder of the internal combustion engine and angle-synchronizing the peak characteristics obtained from the current information, the torque peak and a torque component calculation unit that calculates a torque peak angle;
Using the current information in the internal combustion engine, calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit, and calculate the torque peak and torque peak angle after combustion in each cylinder of the internal combustion engine. a fuel flow rate learning unit that generates a learning model by learning the correlation between the torque peak angle and at least one of the main fuel flow rate and the auxiliary fuel flow rate obtained from the fuel flow meter;
A control device for an internal combustion engine.
The internal combustion engine control device according to claim 13,
The fuel flow rate estimation unit uses the current information in the internal combustion engine to calculate a torque peak and a torque peak angle after combustion in each cylinder of the internal combustion engine from the torque component of the internal combustion engine calculated by the torque component calculation unit. and the correlation between the torque peak and torque peak angle in the learning model and at least one of the main fuel flow rate and the sub fuel flow rate, the main fuel flow rate and the sub fuel flow rate of the internal combustion engine during operation are calculated. At least one of the fuel flow rates is estimated, and at least one of the main fuel flow rate and the auxiliary fuel flow rate of the internal combustion engine during operation is set to a preset threshold value that distinguishes between normality and abnormality of at least one of the main fuel flow rate and the auxiliary fuel flow rate. If it exceeds, the combustion state of the internal combustion engine during operation is determined to be abnormal;
A control device for an internal combustion engine, comprising: a notification section that notifies an abnormal combustion state when the combustion state of the internal combustion engine during operation is abnormal.
The internal combustion engine control device according to claim 14,
In the internal combustion engine in operation, in which the fuel flow estimator estimates at least one of the main fuel flow rate and the auxiliary fuel flow rate, the fuel flow rate estimator measures at least one of the main fuel flow rate and the auxiliary fuel flow rate supplied to the internal combustion engine. Internal combustion engine control unit with flow meter removed.