CN113557356B - Method for diagnosing responsiveness of oxygen sensor and exhaust gas purification system - Google Patents
Method for diagnosing responsiveness of oxygen sensor and exhaust gas purification system Download PDFInfo
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- CN113557356B CN113557356B CN202080019447.7A CN202080019447A CN113557356B CN 113557356 B CN113557356 B CN 113557356B CN 202080019447 A CN202080019447 A CN 202080019447A CN 113557356 B CN113557356 B CN 113557356B
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F01—MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
- F01N—GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
- F01N3/00—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust
- F01N3/08—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous
- F01N3/10—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust
- F01N3/18—Exhaust or silencing apparatus having means for purifying, rendering innocuous, or otherwise treating exhaust for rendering innocuous by thermal or catalytic conversion of noxious components of exhaust characterised by methods of operation; Control
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F02—COMBUSTION ENGINES; HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS
- F02D—CONTROLLING COMBUSTION ENGINES
- F02D45/00—Electrical control not provided for in groups F02D41/00 - F02D43/00
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- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
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- Chemical Kinetics & Catalysis (AREA)
- Toxicology (AREA)
- Exhaust Gas After Treatment (AREA)
- Combined Controls Of Internal Combustion Engines (AREA)
Abstract
An ECU (110) for an exhaust gas purification device of the present disclosure is provided with: an input unit (111) for inputting the detection results (lambda 1, lambda 2) of the oxygen sensors (121, 122); a decrease/increase time calculation unit (112) that obtains decrease times Deltat 1, deltat 2 required for each of lambda 1, lambda 2 to decrease from the first value X1 to the second value X2 or increase times Deltat 3, deltat 4 required for each of lambda 1, lambda 2 to increase from the third value X3 to the fourth value X4 when the LNT (101) transitions from lean control to rich control or from rich control to lean control; and a determination unit (113) that determines the responsiveness of the oxygen sensors (121, 122) on the basis of the difference |Delta1-Delta2| between the decrease time Deltat1 of lambda 1 and the decrease time Deltat2 of lambda 2 or the difference |Delta3-Delta4| between the increase time Delta3 of lambda 1 and the increase time Delta4 of lambda 2.
Description
Technical Field
The present disclosure relates to a responsiveness diagnostic method of an oxygen sensor that monitors an air-fuel ratio of an internal combustion engine and an exhaust gas purification system.
Background
As an exhaust gas purification device for an internal combustion engine, an NOx occlusion reduction catalyst (Lean NOx Trap: hereinafter referred to as "LNT") is known (for example, refer to patent document 1). The LNT stores NOx in the exhaust gas in a state where the air-fuel ratio of the exhaust gas is lean, and reduces the stored NOx to harmless gas such as nitrogen gas by reacting with CO, HC, or the like in the exhaust gas in a state where the air-fuel ratio of the exhaust gas is rich. The LNT is described in patent documents 1 and 2, for example.
In the LNT, an oxygen sensor is generally provided for detecting the excess air ratio (λ) of the exhaust gas. The air excess ratio (λ) detected by the oxygen sensor can be obtained from λ= (the actual air-fuel ratio/stoichiometric air-fuel ratio of the mixture). An engine control unit of an internal combustion engine controls the engine based on an air excess ratio (lambda) detected by an oxygen sensor and a target average air-fuel ratio, which is a target air-fuel ratio. Incidentally, in the control of the diesel engine, in particular, in the rich air-fuel ratio (in the LNT reduction), engine control is performed with the air excess ratio (λ) as an index. For example, patent document 3 and the like describe control of an oxygen sensor and an engine using the oxygen sensor.
As described above, the oxygen sensor plays an important role in the control of the air-fuel ratio of the engine, and therefore, it is necessary to constantly monitor whether or not its response performance is normal. As a method of diagnosing the response performance of the oxygen sensor, there are the following methods: the change in the output value of the oxygen sensor at the time of fuel cut (Q cut) is evaluated. Specifically, the time from the fuel cut to the time when the output value of the oxygen sensor reaches a predetermined value is measured, and the longer the time, the more diagnosed the response is reduced.
Prior art literature
Patent literature
Patent document 1: japanese patent application laid-open No. 2017-203409
Patent document 2: japanese patent laid-open publication No. 2019-007424
Patent document 3: japanese patent laid-open publication No. 2011-185097
Disclosure of Invention
Problems to be solved by the application
However, the above-described diagnostic method of the oxygen sensor is based on the principle of observing the responsiveness of the oxygen sensor when the oxygen concentration rapidly increases due to fuel cut. However, since the change range of the oxygen concentration at the time of fuel cut is inherently small, if the responsiveness of the oxygen sensor is diagnosed simply based on the output value of the oxygen sensor at the time of fuel cut, it may be difficult to perform highly reliable diagnosis.
For example, it is assumed that the exhaust gas oxygen concentration before the fuel cut is about 10% and the exhaust gas oxygen concentration after the fuel cut is about 21%. If the exhaust gas oxygen concentration is the exhaust gas oxygen concentration assumed as described above, the variation range of the oxygen concentration at the time of fuel cut can be ensured, and therefore there is no problem. However, the exhaust gas oxygen concentration before the fuel cut largely depends on the accelerator operation by the driver or the like. For example, if the exhaust gas oxygen concentration before the fuel cut is far below 10%, the variation in the exhaust gas oxygen concentration at the time of the fuel cut will be large, and thus the reliability of the responsiveness diagnosis will be high, but, for example, if the exhaust gas oxygen concentration before the fuel cut is far above 10%, the variation in the exhaust gas oxygen concentration at the time of the fuel cut will be small, and thus the reliability of the responsiveness diagnosis will be low.
Specifically, if the change in the exhaust gas oxygen concentration at the time of fuel cut is small, the time from when the output value of the oxygen sensor reaches the predetermined value is not substantially changed between when the responsiveness of the oxygen sensor is good and when the responsiveness is bad, and as a result, it becomes difficult to evaluate the responsiveness, and the reliability of diagnosis is lowered.
In order to avoid such a situation, it is considered that the responsiveness diagnosis is performed only when the change in the exhaust gas oxygen concentration at the time of the fuel cut is large, for example, only when the exhaust gas oxygen concentration before the fuel cut is far below 10%. However, in this case, the frequency of the response diagnosis is reduced, and the reliability of the response diagnosis is reduced as a result.
An object of the present disclosure is to provide a method for diagnosing responsiveness of an oxygen sensor and an exhaust gas purification system, which can improve reliability of responsiveness diagnosis of the oxygen sensor.
Solution to the problem
The responsiveness diagnostic method of an oxygen sensor of one embodiment of the present disclosure includes the steps of:
a step of inputting a first detection result of a first oxygen sensor provided on an upstream side of an NOx occlusion reduction catalyst and a second detection result of a second oxygen sensor provided on a downstream side of the NOx occlusion reduction catalyst;
a step of determining a decrease time required for the first detection result and the second detection result to decrease from a first value to a second value or an increase time required for the third value to increase to a fourth value, respectively, when the NOx occluding and reducing catalyst is shifted from lean control to rich control or from rich control to lean control; and
determining responsiveness of the first oxygen sensor and the second oxygen sensor based on a difference between the decrease time of the first detection result and the decrease time of the second detection result or a difference between the increase time of the first detection result and the increase time of the second detection result.
An exhaust gas purification system according to an embodiment of the present disclosure includes:
an NOx occlusion reduction type catalyst;
a first oxygen sensor provided on an upstream side of the NOx occlusion reduction catalyst;
a second oxygen sensor provided on a downstream side of the NOx occlusion reduction catalyst;
an input unit that inputs a first detection result and a second detection result, the first detection result being a detection result of the first oxygen sensor, the second detection result being a detection result of the second oxygen sensor;
a decrease/increase time calculation unit that obtains a decrease time required for the first detection result and the second detection result to decrease from a first value to a second value or an increase time required for the third value to increase to a fourth value, respectively, when the NOx occluding and reducing catalyst is shifted from lean control to rich control or from rich control to lean control; and
and a determination unit configured to determine responsiveness of the first oxygen sensor and the second oxygen sensor based on a difference between the decrease time of the first detection result and the decrease time of the second detection result or a difference between the increase time of the first detection result and the increase time of the second detection result.
Effects of the application
According to the present disclosure, since the difference in time required for the decrease or increase in the output value of the oxygen sensor on the upstream side and the downstream side of the NOx occlusion reduction catalyst is compared, the reliability of the responsiveness diagnosis of the oxygen sensor can be improved.
Drawings
FIG. 1 is a diagram showing the configuration of a main part of an exhaust gas purification system to which a method for diagnosing responsiveness of an oxygen sensor of an embodiment is applied,
fig. 2 is a functional block diagram of an ECU (Electronic Control Unit ) for realizing diagnosis of the response performance of the oxygen sensor of the embodiment,
FIG. 3 is a waveform diagram showing the detection result of the oxygen sensor at the time of rich spike,
fig. 4 is a diagram of the waveform in the waveform diagram of fig. 3 in which the vicinity of the section (transition section 1) from lean control to rich control is enlarged,
FIG. 5 is a waveform diagram showing a case where the responsiveness of one oxygen sensor has been lowered,
fig. 6 is a flowchart showing the diagnostic process steps performed by the ECU.
Detailed Description
The embodiments are described in detail below with reference to the drawings.
<1> Structure of exhaust gas purifying System
Fig. 1 is a diagram showing a configuration of a main part of an exhaust gas purification system 100 to which the responsiveness diagnosis method of an oxygen sensor according to the present embodiment is applied. In the present embodiment, a mode in which the responsiveness diagnostic method of the oxygen sensor of the present disclosure is applied to the exhaust gas purification system 100 of the diesel engine 10 will be described as an example. However, the method of diagnosing responsiveness of the oxygen sensor according to the present embodiment is not limited to application to the exhaust gas purification system 100 of the diesel engine 10, and may be applied to an exhaust gas purification system of a gasoline engine.
The exhaust gas purification system 100 is mounted on a vehicle such as a truck, for example, and purifies NOx in exhaust gas of the engine 10.
The engine 10 includes, for example, a combustion chamber and a fuel injection device that injects fuel into the combustion chamber. The engine 10 generates power by combusting and expanding a fuel-air mixture in a combustion chamber. An intake pipe 20 for introducing air into the combustion chamber and an exhaust pipe 30 for exhausting combusted exhaust gas exhausted from the combustion chamber to the outside of the vehicle are connected to the engine 10.
The exhaust gas purification system 100 has an LNT (Lean NOx Trap) 101, a DPF (Diesel Particulate Filter ) 102, an SCR (Selective Catalytic Reduction, selective reduction catalyst) 103, and an ECU (Electronic Control Unit ) 110. In practice, the exhaust gas purification system 100 has other structures such as an aqueous urea solution injection device, but these structures are omitted in fig. 1.
The LNT101 stores NOx in the exhaust gas in a state where the air-fuel ratio of the exhaust gas is lean. The LNT101 reacts the stored NOx with CO, HC, or the like in the exhaust gas in a state where the air-fuel ratio of the exhaust gas is rich, and reduces the NOx to harmless gas such as nitrogen gas, and releases the NOx. Note that, when the LNT101 approaches the saturation state, the efficiency with which NOx can be stored decreases. Therefore, the ECU110 monitors the NOx occlusion state of the LNT101, and periodically performs regeneration (also referred to as "rich spike") of the LNT 101.
The DPF102 traps particulate matter contained in the exhaust gas.
SCR103 adsorbs ammonia obtained by hydrolyzing urea water supplied from a urea water injection device (not shown), and selectively reduces and purifies NOx from exhaust gas using the adsorbed ammonia.
The ECU110 controls the operation of the exhaust gas purification system 100. The ECU110 controls injection from a fuel injection device of the engine 10. Further, the ECU110 performs rich control or the like for achieving rich spike based on information of the NOx occlusion state of the LNT 101.
The ECU110 includes, for example, a CPU (Central Processing Unit ), a ROM (Read Only Memory), a RAM (Random Access Memory ), an input port, an output port, and the like. Each function of the ECU110 described later is realized by referring to a control program and various data stored in ROM, RAM, or the like, for example, by a CPU. However, the function is not limited to be realized by a software-based process, and may be realized by a dedicated hardware circuit.
The ECU110 acquires the state of the urea solution injection device (not shown) and controls the urea solution injection device. The ECU110 obtains sensor information from an oxygen sensor 121 provided on the upstream side of the LNT101, an oxygen sensor 122 provided on the downstream side of the LNT101, or another sensor not shown, and detects the state of the exhaust gas flowing through the exhaust pipe 30, the state of the LNT101, the state of the DPF102, the state of the SCR103, and the like based on the sensor information.
<2> responsiveness diagnosis of oxygen sensor of the present embodiment
The ECU110 has a function of diagnosing the response performance of the oxygen sensors 121, 122.
Fig. 2 shows a functional block diagram of the ECU110 for realizing the diagnosis of the response performance of the oxygen sensor of the present embodiment. As described above, the function may be realized by software or by a dedicated hardware circuit.
Fig. 3 is a waveform chart showing the detection results λ1 and λ2 of the oxygen sensors 121 and 122 at the time of rich spike.
Fig. 4 is an enlarged view of waveforms in the vicinity of a section (transition section 1) of the waveform diagram of fig. 3, in which lean control is shifted to rich control.
As shown in fig. 2, the ECU110 has an input section 111, a decrease/increase time calculation section 112, and a determination section 113.
The input unit 111 inputs the detection result λ1 of the oxygen sensor 121 and the detection result λ2 of the oxygen sensor 122.
The decrease/increase time calculation unit 112 obtains decrease times Δt1, Δt2 required for decreasing the detection results λ1, λ2 from the first value X1 (fig. 4) to the second value X2 (fig. 4) or increase times Δt3, Δt4 required for increasing the detection results from the third value X3 to the fourth value X4, respectively, when the LNT101 shifts from lean control to rich control (corresponding to a shift section 1 of fig. 3) or from rich control to lean control (corresponding to a shift section 2 of fig. 3).
Here, the above-described values X1 and X2 are preferably values that are as far away from each other as possible within a range in which both the detection results λ1, λ2 in the transition section 1 exist. Also, it is preferable that the above-described values X3 and X4 are values that are as far away from each other as possible within a range in which both the detection results λ1, λ2 in the transition section 2 exist. In the present embodiment, x1=1.4 and x2=1.1 are set as an example.
It is to be noted that the increase times Δt3 and Δt4 can be obtained in the same manner as the decrease times Δt1 and Δt2, and therefore, only the values X1 and X2 and the decrease times Δt1 and Δt2 are shown in the drawing.
The determination unit 113 determines the responsiveness of the oxygen sensors 121 and 122 based on the difference |Δt1- Δt2| between the decrease time Δt1 of the detection result λ1 and the decrease time Δt2 of the detection result λ2, or the difference |Δt3- Δt4| between the increase time Δt3 of the detection result λ1 and the increase time Δt4 of the detection result λ2. The determination unit 113 outputs the determination result to, for example, a display (not shown) of the vehicle.
Fig. 6 is a flowchart showing the diagnostic process steps performed by the ECU 110.
The ECU110 determines in step S1 whether the LNT101 has shifted from lean control to rich control or whether it has shifted from rich control to lean control. Here, the ECU110 grasps when the rich spike is performed, and therefore grasps the transition timing from lean control to rich control and the transition timing from rich control to lean control. Incidentally, in general, the rich spike is performed several times every 30 minutes. Thus, the responsiveness diagnosis of the present embodiment is also performed several times every 30 minutes. Wherein the number of times is changed according to the NOx occlusion state of the LNT101 or the like.
If the result of step S1 is affirmative, the ECU110 proceeds to step S2. In step S2, the decrease/increase time calculation unit 112 of the ECU110 calculates Δt1 from the detected value λ1 and calculates Δt2 from the detected value λ2, as shown in fig. 4.
In the next step S3, the determination unit 113 of the ECU110 compares the difference |Δt1 to Δt2| between the reduction time Δt1 and the reduction time Δt2 with a predetermined threshold value Th 1. When the difference |Δt1 to Δt2| is smaller than the threshold value Th1 (no in step S3), the determination unit 113 proceeds to step S4, and determines that the responsiveness of the oxygen sensors 121 and 122 is normal.
On the other hand, when the difference |Δt1 to Δt2| is equal to or greater than the threshold value Th1 (yes in step S3), the determination unit 113 proceeds to step S5. In step S5, the determination unit 113 compares the magnitudes of Δt1 and Δt2. When it is determined that Δt1 is larger than Δt2 (yes in step S5), the determination unit 113 proceeds to step S6, and determines that the responsiveness of the oxygen sensor 121 has been reduced. On the other hand, when a negative result is obtained in step S5 (no in step S5), the determination unit 113 proceeds to step S7, and determines that the responsiveness of the oxygen sensor 122 has been lowered.
Here, the case where it is determined that the responsiveness of the oxygen sensors 121, 122 is normal as in step S4 is, for example, the case where λ1, λ2 as shown in fig. 4 are obtained. On the other hand, the case where it is determined that the responsiveness of the oxygen sensor 122 has been reduced as in step S7 is, for example, the case where λ1 and λ2 as shown in fig. 5 are obtained. That is, the slope of λ2 is relatively gentle. Although not shown, it is determined that the responsiveness of the oxygen sensor 121 has been reduced as in step S6, and the slope of λ1 is relatively gentle.
Incidentally, in fig. 4 and the like, the detection result λ2 of the downstream side oxygen sensor 122 is slightly shifted in the direction of delay on the time axis as compared with the detection result λ1 of the upstream side oxygen sensor 121, because the oxygen sensor 122 is provided at a position further downstream side than the oxygen sensor 121, and it takes time for the exhaust gas to move this distance.
<3> summary
As described above, according to the present embodiment, the presence or absence of the oxygen sensor whose responsiveness has been reduced is compared based on the difference |Δt1- Δt2| (|Δt3- Δt4|) between the times Δt1 and Δt2 (Δt3, Δt4) required for the decrease or increase of the two oxygen sensors 121 and 122, and if the difference is equal to or greater than the threshold Th1, it is determined that the responsiveness of the oxygen sensor that takes longer for the decrease or increase has been reduced, whereby the reliability of the responsiveness diagnosis of the oxygen sensor can be improved.
Here, the method of diagnosing responsiveness of the oxygen sensor according to the above embodiment is premised on the condition that responsiveness of both the oxygen sensor on the upstream side and the oxygen sensor on the downstream side of the LNT101 are not present and the degree of the decrease is the same. Under such a premise, the detection results of the two oxygen sensors are compared to find an oxygen sensor whose responsiveness has been lowered.
However, as is clear from fig. 3, 4, and the like, in the rich control section, when regeneration of the LNT101 advances, the value of the detection result λ2 of the downstream-side oxygen sensor 122 also decreases. That is, the value of λ2 at the end time point becomes smaller than the value of λ2 at the start time point of rich control. As a result, X3 and X4 set for the increase can be set to values farther away from each other than X1 and X2 set for the decrease. That is, it can be set to (X1-X2) < (X3-X4).
In view of this, it is more preferable to perform the diagnosis of responsiveness using the difference described in the above-described embodiment when shifting from rich control to lean control. Of course, the diagnosis using the differential responsiveness described in the above-described embodiment may be performed at either one of the two timings of the transition from lean control to rich control and the transition from rich control to lean control, or at both the two timings of the transition from lean control to rich control and the transition from rich control to lean control.
Further, since the sensor characteristics of the oxygen sensors 121, 122 are different from those at the time of transition from the lean control to the rich control in many cases, it is more preferable in view of this that both the timings at the time of transition from the lean control to the rich control and the timings at the time of transition from the rich control to the lean control are performed. This can further improve the diagnostic accuracy of the responsive diagnosis.
The above-described embodiments are merely examples showing specific embodiments for implementing the present disclosure, and the technical scope of the present disclosure is not to be construed in a limiting manner. That is, the present disclosure may be implemented in various ways without departing from the gist or main characteristics thereof.
In the above-described embodiment, the case where the responsiveness diagnostic method of the oxygen sensor of the present disclosure is executed at the time of rich spike has been described, but the responsiveness diagnostic method of the oxygen sensor of the present disclosure may be executed at the time of fuel cut (at the time of Q cut), for example.
The present application claims the priority based on japanese patent application publication No. 2019-042439 filed on 3/8 in 2019. The contents of the specification and drawings of this application are incorporated in their entirety into the present specification.
Industrial applicability
The present disclosure is suitable as a method and apparatus for performing a responsive diagnosis of an oxygen sensor provided in an exhaust gas purification system.
Description of the reference numerals
10 engine
20 air inlet pipe
30 exhaust pipe
100 exhaust gas purification system
101LNT (Lean NOx Trap)
102DPF (Diesel Particulate Filter )
103SCR (Selective Catalytic Reduction, selective reduction catalyst)
110: ECU (Electronic Control Unit )
111 input part
112 decrease/increase time calculation section
113 judging part
121. 122 oxygen sensor
Claims (4)
1. A method for diagnosing responsiveness of an oxygen sensor, comprising the steps of:
a step of inputting a first detection result of a first oxygen sensor provided on an upstream side of an NOx occlusion reduction catalyst and a second detection result of a second oxygen sensor provided on a downstream side of the NOx occlusion reduction catalyst;
a step of determining a decrease time required for the first detection result and the second detection result to decrease from a first value to a second value or an increase time required for the third value to increase to a fourth value, respectively, when the NOx occluding and reducing catalyst is shifted from lean control to rich control or from rich control to lean control; and
a step of judging the responsiveness of the first oxygen sensor and the second oxygen sensor based on a difference between the decrease time of the first detection result and the decrease time of the second detection result or a difference between the increase time of the first detection result and the increase time of the second detection result,
among the steps performed at the time of transition from lean control to rich control or at the time of transition from rich control to lean control, the step performed at the time of transition from rich control to lean control is preferentially performed than the step performed at the time of transition from lean control to rich control.
2. The method for diagnosing responsiveness of an oxygen sensor according to claim 1, wherein,
when the difference in the decrease time or the difference in the increase time is equal to or greater than a predetermined value, it is determined that the responsiveness of the oxygen sensor of the first oxygen sensor and the second oxygen sensor, which is longer than the decrease time or longer than the increase time, has decreased.
3. An exhaust gas purification system is characterized by comprising:
an NOx occlusion reduction type catalyst;
a first oxygen sensor provided on an upstream side of the NOx occlusion reduction catalyst;
a second oxygen sensor provided on a downstream side of the NOx occlusion reduction catalyst;
an input unit that inputs a first detection result and a second detection result, the first detection result being a detection result of the first oxygen sensor, the second detection result being a detection result of the second oxygen sensor;
a decrease/increase time calculation unit that obtains a decrease time required for the first detection result and the second detection result to decrease from a first value to a second value or an increase time required for the third value to increase to a fourth value, respectively, when the NOx occluding and reducing catalyst is shifted from lean control to rich control or from rich control to lean control; and
a determination unit configured to determine responsiveness of the first oxygen sensor and the second oxygen sensor based on a difference between the decrease time of the first detection result and the decrease time of the second detection result or a difference between the increase time of the first detection result and the increase time of the second detection result,
the judgment section judges the responsiveness by preferentially using the difference in the increase time than the difference in the decrease time.
4. The exhaust gas purification system as recited in claim 3, wherein,
when the difference in the decrease time or the difference in the increase time is equal to or greater than a predetermined value, the determination unit determines that the responsiveness of the oxygen sensor of the first oxygen sensor or the second oxygen sensor, which is longer in the decrease time or longer in the increase time, has decreased.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2019042439A JP7124771B2 (en) | 2019-03-08 | 2019-03-08 | Lambda sensor response diagnostic method and exhaust purification system |
| JP2019-042439 | 2019-03-08 | ||
| PCT/JP2020/009742 WO2020184446A1 (en) | 2019-03-08 | 2020-03-06 | Lambda sensor responsiveness diagnostic method, and exhaust purification system |
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| CN113557356B true CN113557356B (en) | 2023-09-15 |
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| WO2020184446A1 (en) | 2020-09-17 |
| JP7124771B2 (en) | 2022-08-24 |
| CN113557356A (en) | 2021-10-26 |
| JP2020143648A (en) | 2020-09-10 |
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