CN115306526B - Detection information processing method, device, medium, sensor and EMS system - Google Patents

Detection information processing method, device, medium, sensor and EMS system Download PDF

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CN115306526B
CN115306526B CN202211015697.0A CN202211015697A CN115306526B CN 115306526 B CN115306526 B CN 115306526B CN 202211015697 A CN202211015697 A CN 202211015697A CN 115306526 B CN115306526 B CN 115306526B
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integral
unit
integration
sensor
value
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CN115306526A (en
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吕端
田良云
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United Automotive Electronic Systems Co Ltd
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United Automotive Electronic Systems Co Ltd
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N11/00Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity
    • F01N11/007Monitoring or diagnostic devices for exhaust-gas treatment apparatus, e.g. for catalytic activity the diagnostic devices measuring oxygen or air concentration downstream of the exhaust apparatus
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F01MACHINES OR ENGINES IN GENERAL; ENGINE PLANTS IN GENERAL; STEAM ENGINES
    • F01NGAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR MACHINES OR ENGINES IN GENERAL; GAS-FLOW SILENCERS OR EXHAUST APPARATUS FOR INTERNAL COMBUSTION ENGINES
    • F01N9/00Electrical control of exhaust gas treating apparatus
    • F01N9/005Electrical control of exhaust gas treating apparatus using models instead of sensors to determine operating characteristics of exhaust systems, e.g. calculating catalyst temperature instead of measuring it directly
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/10Internal combustion engine [ICE] based vehicles
    • Y02T10/40Engine management systems

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Combustion & Propulsion (AREA)
  • Mechanical Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)
  • Electrical Control Of Air Or Fuel Supplied To Internal-Combustion Engine (AREA)

Abstract

The invention belongs to the technical field of intelligent vehicles, and particularly relates to a detection information processing method, a detection information processing device, a detection information processing medium, a detection information processing sensor and an EMS (engine management system ENGINE MANAGEMENT SYSTEM) system; the characteristic data of the rear oxygen sensor in the thick-to-thin slow response detection process is obtained by actively changing the air-fuel ratio and receiving the parameters of the sensor, namely, the mixed gas is thinned, the integration area of the voltage of the rear oxygen sensor from thick to thin is calculated, and the target state is judged according to the statistical characteristics of the integration data; when the integrated area is greater than the threshold, a fault can be diagnosed; if the threshold value is less than or equal to the threshold value, diagnosing as normal; on the other hand, by introducing the flow integration process synchronously, the monitoring frequency IUPR (In-Use Performance Ratio) of the rich to lean diagnostic process can be processed; in addition, the response time of the voltage of the rear oxygen sensor can be obtained through table lookup interpolation calculation through the voltage integration area of the rear oxygen sensor, and then the response time is output to the catalyst diagnosis module to correct the calculation process of the gas storage capacity.

Description

Detection information processing method, device, medium, sensor and EMS system
Technical Field
The invention belongs to the technical field of intelligent vehicles, and particularly relates to a detection information processing method, a detection information processing device, a detection information processing medium, a detection information sensor and an EMS (energy management system).
Background
Under the exhaust gas sensor structure as laid out in fig. 1, diagnosis and reminding of the slow-to-rich response fault of the voltage of the rear oxygen sensor are required; as in the active fuel cut Fang Fayuan of fig. 2, the following technical problems may occur for the implementation of a Hybrid electric vehicle HEV (Hybrid ELECTRIC VEHICLE), a Plug-in Hybrid electric vehicle PHEV (Plug in Hybrid ELECTRIC VEHICLE) or an Extended electric vehicle EREV (Extended RANGE ELECTRIC VEHICLE):
On the one hand, the slow response fault diagnosis process of the oxygen voltage after the active control fuel cut can lead to the fluctuation of the generated power, so that the smoothness of the vehicle and the balance of the electric quantity can be affected, and meanwhile, the difficulty of controlling the torque of the motor part is increased.
On the other hand, in order to realize the diagnostic function, the vehicle control unit VCU (Vehicle Control Unit) is required to cooperate with a plurality of control units such as the engine management system EMS (Engine Management System), so that the complexity of the system is increased, which is not beneficial to the rapid development and upgrading of products.
In addition, the related art lacks good control and monitoring of timing, response time, etc. of diagnosis, so that the operation efficiency of the system and the timeliness of monitoring are poor.
Disclosure of Invention
The embodiment of the invention discloses a detection information processing method, which comprises a first working condition intervention step and a second integral diagnosis step; the first working condition intervention step comprises a first initialization step and a first thinning intervention step; the first initialization step acquires current working condition information, and if the current working condition information accords with a preset diagnosis enabling condition, the first thinning intervention step adjusts the air-fuel ratio lambda to X so as to enter a subsequent processing process.
Further, the second integration diagnosis step further includes a second master integration step, a second slave integration step; the second main integration step obtains a second detection value of a second sensor; the second detection value is the magnitude of the physical quantity detected by the second sensor; if the second detection value decays from the first threshold u1 to the second threshold u2 along with time t, performing second main integration on the second detection value in a time interval of acquiring the first threshold u1 and acquiring the second threshold u2, and recording the value of the second main integration as S1; repeating the second integral diagnosis step to obtain a second slave integral value and recording the second slave integral value as S2; wherein the second slave integration uses the same process or integration variable as the second master integration.
Specifically, the second sensor may be a post-oxygen sensor, and the second detection value is a post-oxygen voltage u; the first thinning intervention step thins the concentration of mixed air entering from an air inlet channel to an air cylinder of an internal combustion engine and keeps preset time; the current working condition information comprises at least one of exhaust gas flow, engine speed, temperature at a rear oxygen sensor, voltage of the rear oxygen sensor and air-fuel ratio information.
Further, the method embodiment of the invention further comprises a third synchronous processing step; the third synchronous processing step also comprises a third flow integrating step and a third frequency refreshing step; the third flow integration step acquires a third oxygen flow integration of the exhaust gas, and the third oxygen flow integration is synchronously started at the starting time of the second main integration; if the value of the third oxygen flow integral reaches the third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1.
Specifically, if the diagnostic enabling condition is valid, the third flow integrating step may be performed again, and the third flow integrating step may be ended in the same manner, and the number m of times of third oxygen flow integration may be increased by 1.
Further, the second integral diagnosis step can be used for diagnosing that the oxygen sensor voltage is slowly reacted from rich to lean, if the value S1 of the second main integral and the value S2 of the second auxiliary integral preset a third statistical value to be smaller than or equal to a third integral threshold Smax, the diagnosis is completed, and the response of the oxygen sensor voltage is normal; otherwise, outputting a fault prompt signal or starting a related fault processing process.
Further, the method embodiment of the invention can further comprise a fourth conversion output step; the fourth conversion output step may further include a fourth table look-up conversion step, a fourth parameter correction step; the fourth table lookup conversion step converts the second integral data obtained In the second integral diagnosis step into fourth response time data by a table lookup method according to a preset integral/time conversion table, and the fourth parameter correction step updates the monitoring frequency IUPR (In-Use Performance Ratio) so that the monitoring frequency IUPR is increased by 1; the third synchronization step outputs fourth response time data to the catalyst diagnostic module for correcting the parameters of the catalyst.
The embodiment of the invention also further discloses a detection information processing device which comprises a first working condition intervention unit and a second integral diagnosis unit; the first working condition intervention unit further comprises a first initialization unit and a first thinning intervention unit; the first initializing unit acquires current working condition information, and if the current working condition information accords with a preset diagnosis enabling condition, the first thinning intervention unit adjusts an air-fuel ratio lambda to X; the second integration diagnosis unit comprises a second master integration unit and a second slave integration unit; the second main integration unit acquires a second detection value of a second sensor; the second detection value is the magnitude of the physical quantity detected by the second sensor; if the second detection value decays from the first threshold u1 to the second threshold u2 along with time t, performing second main integration on the second detection value in a time interval of acquiring the first threshold u1 and acquiring the second threshold u2, and recording the value of the second main integration as S1; the second integral diagnosis unit also obtains the value of the second slave integral and marks S2; wherein the second slave integration uses the same process or integration variable as the second master integration.
Specifically, the second sensor may be a post-oxygen sensor, and the second detection value is a post-oxygen voltage u; the first thinning intervention unit thins the concentration of mixed air entering from an air inlet channel to an internal combustion engine into an air cylinder and keeps preset time; the current working condition information comprises at least one of exhaust gas flow, engine speed, temperature at a rear oxygen sensor, voltage of the rear oxygen sensor and air-fuel ratio information.
Further, the product embodiment of the invention can further comprise a third synchronous processing unit; the third synchronous processing unit can also comprise a third flow integrating unit and a third frequency refreshing unit; a third flow integration unit acquires a third oxygen flow integration of exhaust gas; at this time, the third oxygen flow integration is synchronized to start at the start time of the second main integration.
Specifically, if the value of the third oxygen flow integral reaches the third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1; if the diagnostic enabling condition is valid, the third flow integrating unit may end the integration process in the same manner and increase the number m of times of integration of the third oxygen flow by 1; the second integral diagnosis unit is used for diagnosing that the oxygen sensor voltage is slowly reacted from rich to lean, if the preset third statistical value of the value S1 of the second main integral and the value S2 of the second auxiliary integral is smaller than or equal to a third integral threshold Smax, the diagnosis is completed, and the response of the oxygen sensor voltage is normal; otherwise, a fault prompting signal can be output.
Further, the embodiment of the device of the invention can further comprise a fourth conversion output unit; the fourth conversion output unit may further include a fourth table look-up conversion unit and a fourth parameter correction unit; the fourth table lookup conversion unit converts the second integral data obtained in the second integral diagnosis unit into fourth response time data through a table lookup method according to a preset integral/time conversion table, and the fourth parameter correction unit updates the monitoring frequency IUPR to increase the monitoring frequency IUPR by 1; the third synchronous processing unit outputs fourth response time data to the catalyst diagnosis module to correct parameters of the catalyst.
Furthermore, based on the above inventive concepts, it is contemplated that the related methods and apparatus may be implemented in the following products; the computer storage medium comprises a storage medium body for storing a computer program; the computer program, when executed by the microprocessor, can implement any of the above-described detection information processing methods; similarly, the associated sensor may employ any of the above-described detection information processing devices and/or any of the storage media.
In addition, in view of the processing process of the method and the product, the related fault detection function can be realized in the EMS system, so that the cooperative limitation among a plurality of execution units is avoided, and the product development efficiency is improved; similarly, the system may also include any of the above devices, mediums or sensors, and the implementation manner thereof will not be described again.
In summary, the technical problems solved by the invention mainly include the following:
On the one hand, the problem that a plurality of controllers are needed to cooperate when the rear oxygen sensor of the HEV is in a rich-lean diagnosis is solved, the system complexity and the communication cost can be reduced only by EMS, and the development period is greatly shortened.
On the other hand, the embodiment of the invention can synchronously give IUPR diagnosis frequency of slow diagnosis of the concentration to the dilution of the rear oxygen sensor and can simultaneously output core parameters such as response time and the like.
In the third aspect, the embodiment of the invention realizes the diagnosis function by moderately reducing the lean mixture, and avoids the influence of active fuel cut on the power generation and the driving smoothness.
In addition, the invention diagnoses the fault between rich and lean of the oxygen sensor by changing the air-fuel ratio and voltage integration, and the logic process is clear, thereby being beneficial to being realized on a microprocessor.
It should be noted that, the terms "first", "second", and the like are used herein merely to describe each component in the technical solution, and do not constitute a limitation on the technical solution, and are not to be construed as indicating or implying importance of the corresponding component; elements with "first", "second" and the like mean that in the corresponding technical solution, the element includes at least one.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the technical effects, technical features and objects of the present invention will be further understood, and the present invention will be described in detail below with reference to the accompanying drawings, which form a necessary part of the specification, and together with the embodiments of the present invention serve to illustrate the technical solution of the present invention, but not to limit the present invention.
Like reference numerals in the drawings denote like parts, in particular:
figure 1 is a schematic diagram of a sensor layout according to an embodiment of the present invention,
FIG. 2 is a schematic diagram of an active fuel cut-off process in the related art;
FIG. 3 is a schematic diagram of area calculation of different response times of the method and product embodiments of the present invention;
FIG. 4 is a schematic flow chart of an embodiment of the method and product of the present invention;
FIG. 5 is a schematic flow chart of an embodiment of the method of the present invention;
FIG. 6 is a schematic diagram of a first operating condition intervention flow in an embodiment of the method of the present invention;
FIG. 7 is a schematic diagram of a second integrated diagnostic process according to an embodiment of the method of the present invention;
FIG. 8 is a schematic diagram of a third synchronization process according to an embodiment of the method of the present invention;
FIG. 9 is a fourth switching output flow chart according to an embodiment of the method of the present invention;
FIG. 10 is a schematic diagram of a process and product embodiment of the present invention;
FIG. 11 is a schematic diagram of the composition structure of an embodiment of the product of the present invention;
FIG. 12 is a schematic diagram of a first operating mode intervention unit composition structure according to an embodiment of the present invention;
FIG. 13 is a schematic diagram showing the construction of a second integral diagnosis unit according to an embodiment of the present invention;
FIG. 14 is a schematic diagram of a third synchronous processing unit according to an embodiment of the present invention;
FIG. 15 is a schematic diagram of a fourth switching output unit according to an embodiment of the present invention;
FIG. 16 is a schematic diagram showing the structure of a product according to the first embodiment of the present invention;
FIG. 17 is a second schematic diagram of the composition structure of an embodiment of the product of the present invention;
FIG. 18 is a third schematic diagram of the composition of an embodiment of the product of the present invention;
fig. 19 is a schematic diagram showing the composition and structure of an embodiment of the product of the present invention.
Wherein:
001-the current operating condition information,
002-The second detection value of the sample,
003-A diagnostic enable condition in which,
100-A first working condition intervention step,
111-A first initialisation step,
122-A first thinning intervention step,
200-A second integral diagnosis step,
211-A second main integration step,
222-A second slave integration step,
300-A third synchronization processing step of,
301-The monitoring frequency IUPR is set,
311-A third flow rate integration step,
322-A third frequency refresh step,
333-A third integral threshold Smax,
400-A fourth conversion output step of,
411-A fourth look-up table conversion step,
422-A fourth parameter modification step,
500-An integration/time conversion table,
510-A first operating condition intervention unit,
520-A second integral diagnostic unit,
530-A third synchronization processing step,
540-A fourth conversion output step,
555-The fourth response time data,
666-A sixth fault cue signal,
720-The first sensor voltage,
810-A time axis, in which the time axis,
820-The voltage axis of the voltage,
821-A first threshold value u1,
822-The second threshold value u2,
881-Voltage is u1 time t1,
882-Voltage is u2 time t2,
888-An example of an integration calculation,
8R 1-the value of the second principal integral S1,
8R 2-the value of the second slave integral S2,
900-A vehicle is provided with a vehicle,
A 901-a sensor of the type described above,
903-A storage medium,
905-A detection information processing means,
907-The EMS module and the data processing module,
910-An exhaust passage,
911-Second sensor, post oxygen sensor;
919—a first sensor, a front oxygen sensor;
920-an air inlet channel,
930-The engine of an internal combustion engine,
999-Related technical scheme flow.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. Of course, the following specific examples are set forth only to illustrate the technical solution of the present invention, and are not intended to limit the present invention. Furthermore, the parts expressed in the examples or drawings are merely illustrative of the relevant parts of the present invention, and not all of the present invention.
The embodiment of the invention actively changes the air-fuel ratio, namely, the mixed gas is thinned, and the integrated area from the rich voltage to the lean voltage of the oxygen sensor after calculation is shown as fig. 3, and comprises 3 voltage curves: three possible states s_1, s_2, s_3, respectively representing the rich to lean response of the post-oxygen sensor voltage, the response time of which can be obtained from the table look-up table corresponding to fig. 10, and the voltage integration area of which can be expressed by the following formula: s=int (u, t, t1, t 2); wherein,
S-voltage integration area;
t 1-voltage is u1 moment;
t 2-voltage is u2 moment;
u-voltage;
int is the integration operator.
The comparison of the integral areas shows that the response speed of the voltage of the rear oxygen sensor from rich to lean is fast, and when the integral area is larger than a certain threshold value, the fault can be diagnosed; a failure threshold value or less is diagnosed as normal.
On the other hand, by introducing the flow integration process synchronously, the monitoring frequency IUPR of the rich to lean diagnostic process can be processed.
In addition, the response time of the voltage of the rear oxygen sensor can be obtained through table lookup interpolation calculation through the voltage integration area of the rear oxygen sensor, and then the response time is output to the catalyst diagnosis module to correct the calculation process of the gas storage capacity.
Specifically, as shown in fig. 1 and 5, a detection information processing method includes a first working condition intervention step 100 and a second integration diagnosis step 200; the first operating condition intervention step 100 comprises a first initialization step 111, a first thinning intervention step 122; the first initializing step 111 obtains the current operating condition information 001, and if the current operating condition information 001 meets the preset diagnosis enabling condition 003, the first lean intervention step 122 adjusts the air-fuel ratio lambda to X.
Further, the second integration diagnosis step 200 includes a second master integration step 211, a second slave integration step 222; the second main integration step 211 acquires a second detection value 002 of the second sensor 911; the second detection value 002 is the magnitude of the physical quantity detected by the second sensor 911; if the second detection value 002 decays from the first threshold u1, 821 to the second threshold u2, 822 over time t, 810, then the second detection value 002 is subjected to a second main integration over the time interval between the acquisition of the first threshold u1, 821 and the acquisition of the second threshold u2, 822, the value of the second main integration being denoted as S1, 8R1; repeating the second integral diagnostic step 200 to obtain a second slave integral value and noting it as S2, i.e. 8R2; wherein the second slave integration uses the same process or integration variable as the second master integration.
Specifically, the second sensor 911 may be a post-oxygen sensor, and the second detection value 002 may be a post-oxygen voltage u820; the first lean intervention step 122 lean the concentration of the mixed intake air from the intake passage 920 to the internal combustion engine 930 entering the cylinder and maintaining the preset time; the current operating condition information 001 includes at least one of exhaust gas flow, engine speed, temperature at the rear oxygen sensor, voltage at the rear oxygen sensor, and air-fuel ratio information.
Further, the method embodiment of the present invention further includes a third synchronization processing step 300; the third synchronization processing step 300 further includes a third flow integrating step 311 and a third frequency refreshing step 322; the third flow integration step 311 obtains a third oxygen flow integration of the exhaust gas, which is synchronized to start at a start time 881 of the second main integration.
If the value of the third oxygen flow integral reaches the third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1.
Specifically, if the diagnostic enable condition 003 is valid, the third flow integration step 311 is executed again, the third flow integration step 311 is ended in the same manner, and the number m of times of third oxygen flow integration is increased by 1; the second integral diagnostic step 200 is used for diagnosis of slow response of the oxygen sensor voltage from rich to lean.
If the value S1 of the second master integral, i.e. 8R1, and the value S2 of the second slave integral, i.e. 8R2, have a preset third statistical value less than or equal to the third integral threshold Smax, i.e. 333; the diagnosis is completed and the voltage response of the rear oxygen sensor 911 is normal; otherwise, a fault indication signal 666 is output.
Further, the detection information processing method of the present embodiment further includes a fourth conversion output step 400; the fourth conversion output step 400 may further include a fourth table look-up conversion step 411, a fourth parameter correction step 422; the fourth table lookup conversion step 411 converts the second integral data 888 obtained in the second integral diagnosis step 200 into fourth response time data 555 by a table lookup method according to the preset integral/time conversion table 500, and the fourth parameter correction step 422 updates the monitoring frequency IUPR, i.e. 401, so that the monitoring frequency IUPR increases by 1; the third synchronization process step 300 outputs fourth response time data 555 to the catalyst diagnostic module, correcting the parameters of the catalyst.
On the other hand, as shown in fig. 11 to 15, the device embodiment of the present invention includes a first operating condition intervention unit 510, a second integration diagnosis unit 520; the first operating condition intervention unit 510 includes a first initialization unit 511 and a first thinning intervention unit 512; the first initializing unit 511 acquires the current operating condition information 001, and if the current operating condition information 001 meets a preset diagnosis enabling condition 003, the first lean intervention unit 512 adjusts the air-fuel ratio lambda to X; the second integration diagnostic unit 520 includes a second master integration unit 521, a second slave integration unit 522; the second main integration unit 521 acquires a second detection value 002 of the second sensor 911; the second detection value 002 is the magnitude of the physical quantity detected by the second sensor 911.
If the second detection value 002 decays from the first threshold u1, 821 to the second threshold u2, 822 over time t, 810, then the second detection value 002 is subjected to a second main integration over the time interval between the acquisition of the first threshold u1, 821 and the acquisition of the second threshold u2, 822, the value of the second main integration being denoted as S1, 8R1; the second integral diagnostic unit 520 also obtains the value of the second slave integral and notes S2, i.e. 8R2; wherein the second slave integration uses the same process or integration variable as the second master integration.
Wherein: the second sensor 911 is a post-oxygen sensor, and the second detection value 002 is a post-oxygen voltage u, i.e., 820; the first thinning intervention unit 512 thins the concentration of the mixed intake air from the intake passage 920 to the internal combustion engine 930 entering the cylinder and keeps the preset time; the current operating condition information 001 includes at least one of exhaust gas flow, engine speed, post-oxygen sensor temperature, post-oxygen sensor voltage, and air-fuel ratio information.
Further, the present invention implements the detection information processing apparatus, and further includes a third synchronization processing unit 530; the third synchronization processing unit 530 includes a third flow integrating unit 531, a third frequency refreshing unit 532; the third flow rate integration unit 531 obtains the third oxygen flow rate integration of the exhaust gas, which starts in synchronization with the start time 881 of the second main integration.
If the value of the third oxygen flow integral reaches the third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1.
Specifically, if the diagnostic enable condition 003 is valid, the third flow rate integration unit 531 ends the integration process in the same manner and increases the number m of times of integration of the third oxygen flow rate by 1; the second integral diagnostic unit 520 is used for diagnosis of slow response of the oxygen sensor voltage from rich to lean.
If the value S1 of the second master integral, i.e., 8R1, and the value S2 of the second slave integral, i.e., 8R2, are less than or equal to the third integral threshold Smax, i.e., 333, the diagnosis is completed, and the voltage response of the post oxygen sensor 911 is normal; otherwise, a fault indication signal 666 is output.
Further, the device embodiment of the present invention further includes a fourth conversion output unit 400; the fourth conversion output unit 400 may further include a fourth lookup table conversion unit 541, a fourth parameter correction unit 542; the fourth table look-up conversion unit 541 converts the second integrated data 888 obtained in the second integrated diagnostic unit 520 into the fourth response time data 555 by a table look-up method according to the preset integration/time conversion table 500, and the fourth parameter correction unit 542 updates the monitoring frequency IUPR, i.e., 401, so that the monitoring frequency IUPR401 increases by 1; the third synchronization processing unit 530 outputs fourth response time data 555 to the catalyst diagnostic module, correcting the parameters of the catalyst.
As shown in fig. 16-19, an embodiment of the product of the present invention may further include a computer storage medium 903, a sensor 901, and an EMS system 907; the storage medium 903 thereof includes a storage medium body for storing a computer program; the computer program, when executed by a microprocessor, may implement any of the detection information processing methods as disclosed in the above embodiments; the sensor is based on the method and the device in the EMS system, and the related detection information processing process is realized.
It should be noted that the foregoing examples are merely for clearly illustrating the technical solution of the present invention, and those skilled in the art will understand that the embodiments of the present invention are not limited to the foregoing, and that obvious changes, substitutions or alterations can be made based on the foregoing without departing from the scope covered by the technical solution of the present invention; other embodiments will fall within the scope of the invention without departing from the inventive concept.

Claims (13)

1. A detection information processing method, characterized by comprising: a first operating condition intervention step (100), a second integral diagnosis step (200); the first working condition intervention step (100) comprises a first initialization step (111) and a first thinning intervention step (122); the first initializing step (111) acquires current working condition information (001), and if the current working condition information (001) accords with a preset diagnosis enabling condition (003), the first thinning intervention step (122) adjusts an air-fuel ratio lambda to X; the second integration diagnosis step (200) comprises a second master integration step (211) and a second slave integration step (222); the second main integration step (211) acquires a second detection value (002) of a second sensor (911); the second detection value (002) is the magnitude of the physical quantity detected by the second sensor (911); if the second detection value (002) decays from a first threshold u1 (821) to a second threshold u2 (822) with time t (810), performing a second main integral on the second detection value (002) in a time interval of acquiring the first threshold u1 (821) and acquiring the second threshold u2 (822), wherein the value of the second main integral is denoted as S1 (8R 1); repeating the second integral diagnosing step (200) to obtain a second slave integral value and recording the second slave integral value as S2 (8R 2); wherein the second slave integral uses the same process or integral variable as the second master integral.
2. The detection information processing method according to claim 1, wherein: the second sensor (911) is a post-oxygen sensor, and the second detection value (002) is a post-oxygen voltage u (820); the first thinning intervention step (122) thins the concentration of the mixed air in the air inlet channel (920) to the air inlet cylinder of the internal combustion engine (930) and keeps the preset time; the current working condition information (001) comprises at least one of exhaust gas flow, engine speed, temperature at a rear oxygen sensor, voltage of the rear oxygen sensor and air-fuel ratio information.
3. The detection information processing method according to claim 2, further comprising a third synchronization processing step (300); the third synchronization processing step (300) comprises a third flow integration step (311), a third frequency refreshing step (322); the third flow integration step (311) acquires a third oxygen flow integration of the exhaust gas, which starts synchronously with the start time (881) of the second main integration; and if the value of the third oxygen flow integral reaches a third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1.
4. The detection information processing method according to claim 3, wherein: if the diagnostic enabling condition (003) is valid, performing the third flow integration step (311) again, ending the third flow integration step (311) in the same manner, and increasing the number m of third oxygen flow integration by 1; the second integral diagnosis step (200) is used for diagnosing that the oxygen sensor voltage is slowly reacted from rich to lean, if the third statistical value of the value S1 (8R 1) of the second main integral and the value S2 (8R 2) of the second auxiliary integral is smaller than or equal to a third integral threshold Smax (333), the diagnosis is completed, and the voltage response of the rear oxygen sensor (911) is normal; otherwise, a fault prompting signal is output (666).
5. The detection information processing method according to any one of claims 3 or 4, further comprising a fourth conversion output step (400);
The fourth conversion output step (400) includes a fourth table look-up conversion step (411), a fourth parameter correction step (422); the fourth table lookup conversion step (411) converts the second integrated data (888) obtained in the second integrated diagnosis step (200) into fourth response time data (555) through a table lookup method according to a preset integrated/time conversion table (500), and the fourth parameter correction step (422) updates the monitoring frequency IUPR (401) to increase the monitoring frequency IUPR (401) by 1; the third synchronization processing step (300) outputs the fourth response time data (555) to a catalyst diagnostic module, modifying a parameter of the catalyst.
6. A detection information processing apparatus comprising: a first working condition intervention unit (510) and a second integral diagnosis unit (520); wherein the first working condition intervention unit (510) comprises a first initialization unit (511) and a first thinning intervention unit (512); the first initializing unit (511) acquires current working condition information (001), and if the current working condition information (001) accords with a preset diagnosis enabling condition (003), the first thinning intervention unit (512) adjusts an air-fuel ratio lambda to X; the second integration diagnosis unit (520) comprises a second master integration unit (521) and a second slave integration unit (522); a second main integration unit (521) acquires a second detection value (002) of the second sensor (911); the second detection value (002) is the magnitude of the physical quantity detected by the second sensor (911); if the second detection value (002) decays from a first threshold u1 (821) to a second threshold u2 (822) with time t (810), performing a second main integral on the second detection value (002) in a time interval of acquiring the first threshold u1 (821) and acquiring the second threshold u2 (822), wherein the value of the second main integral is denoted as S1 (8R 1); the second integral diagnostic unit (520) also obtains a second slave integral value and marks S2 (8R 2); wherein the second slave integral uses the same process or integral variable as the second master integral.
7. The detection information processing apparatus according to claim 6, wherein: the second sensor (911) is a post-oxygen sensor, and the second detection value (002) is a post-oxygen voltage u (820); the first lean intervention unit (512) lean the concentration of the mixed air entering from the air inlet channel (920) to the internal combustion engine (930) into the cylinder and keeps the preset time; the current working condition information (001) comprises at least one of exhaust gas flow, engine speed, temperature at a rear oxygen sensor, voltage of the rear oxygen sensor and air-fuel ratio information.
8. The detection information processing apparatus as claimed in claim 7, further comprising a third synchronization processing unit (530); the third synchronous processing unit (530) comprises a third flow integrating unit (531), a third frequency refreshing unit (532); the third flow integrating unit (531) acquires a third oxygen flow integral of the exhaust gas, which starts synchronously with the start time (881) of the second main integral; and if the value of the third oxygen flow integral reaches a third oxygen flow threshold max, ending the third oxygen flow integral, and recording the number m of times of the third oxygen flow integral as 1.
9. The detection information processing apparatus according to claim 8, wherein: if the diagnostic enabling condition (003) is valid, the third flow integrating unit (531) ends the integration process in the same manner and increases the number m of times of integration of the third oxygen flow by 1; the second integral diagnosis unit (520) is used for diagnosing that the oxygen sensor voltage is slowly reacted from rich to lean, if a preset third statistical value of the value S1 (8R 1) of the second main integral and the value S2 (8R 2) of the second auxiliary integral is smaller than or equal to a third integral threshold Smax (333), the diagnosis is completed, and the voltage response of the rear oxygen sensor (911) is normal; otherwise, a fault prompting signal is output (666).
10. The detection information processing apparatus according to any one of claims 8 or 9, further comprising a fourth conversion output unit (400);
The fourth conversion output unit (400) comprises a fourth lookup table conversion unit (541), a fourth parameter correction unit (542); the fourth table look-up conversion unit (541) converts the second integrated data (888) obtained in the second integrated diagnostic unit (520) into fourth response time data (555) by a table look-up method according to a preset integrated/time conversion table (500), and the fourth parameter correction unit (542) updates the monitoring frequency IUPR (401) to increase the monitoring frequency IUPR (401) by 1; the third synchronization processing unit (530) outputs the fourth response time data (555) to a catalyst diagnostic module, correcting a parameter of the catalyst.
11. A computer storage medium comprising a storage medium body for storing a computer program; the computer program, when executed by a microprocessor, implements the detection information processing method according to any one of claims 1 to 5.
12. A sensor comprising the detection information processing apparatus according to any one of claims 6 to 10; and/or the computer storage medium according to claim 11.
13. An EMS system including the detection information processing apparatus according to any one of claims 6 to 10; and/or the computer storage medium of claim 11; and/or the sensor according to claim 12.
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