CN111322142A - Prediction type three-way catalytic converter diagnosis control system and method based on network connection information - Google Patents

Prediction type three-way catalytic converter diagnosis control system and method based on network connection information Download PDF

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CN111322142A
CN111322142A CN201811543279.2A CN201811543279A CN111322142A CN 111322142 A CN111322142 A CN 111322142A CN 201811543279 A CN201811543279 A CN 201811543279A CN 111322142 A CN111322142 A CN 111322142A
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way catalyst
information
vehicle
target path
diagnosis
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宋福祥
陈哲
张松
刘军
陈宇清
刘佳熙
吴杰杰
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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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/3453Special cost functions, i.e. other than distance or default speed limit of road segments
    • G01C21/3492Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
    • 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)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Automation & Control Theory (AREA)
  • Chemical & Material Sciences (AREA)
  • Combustion & Propulsion (AREA)
  • General Engineering & Computer Science (AREA)
  • Mechanical Engineering (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)
  • Control Of Transmission Device (AREA)
  • Exhaust Gas After Treatment (AREA)

Abstract

The invention provides a prediction type three-way catalytic converter diagnosis control system and method based on internet information, wherein the system comprises: the vehicle-mounted domain controller is used for obtaining navigation information of a target path between a starting point and a destination; generating road condition information corresponding to the target path according to the navigation information and the environmental information acquired by the vehicle-mounted sensor; obtaining current state information of a vehicle power system; predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system; planning a three-way catalyst diagnosis strategy under a target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path; according to the optimal three-way catalyst diagnosis strategy, a diagnosis process for the three-way catalyst is executed during the running of the vehicle. By applying the scheme provided by the invention, the diagnosis problem of the three-way catalyst of the vehicle can be improved, and the diagnosis efficiency of the three-way catalyst of the vehicle can be improved.

Description

Prediction type three-way catalytic converter diagnosis control system and method based on network connection information
Technical Field
The invention belongs to the field of automobiles, and relates to a prediction type three-way catalytic converter diagnosis control system and method based on internet information.
Background
FIG. 1 is a block diagram of an Engine and aftertreatment System for a gasoline vehicle including an Engine, an Engine Management System (EMS), and a Three Way Catalyst (TWC). The TWC can convert gaseous harmful emissions generated by engine combustion into carbon dioxide, nitrogen, water and the like which are pollution-free to the environment, so that the aim of reducing the gaseous harmful emissions is fulfilled. In order to ensure that the TWC can work normally and efficiently, a set of preset control rules are arranged in the EMS, the control rules can be combined with input information of related sensors to reasonably calculate parameters such as oil injection time, oil injection quantity, ignition time and air inflow of the engine, so that the engine and the TWC can work cooperatively, and meanwhile, in order to ensure the conversion efficiency of harmful emissions, the EMS needs to carry out special setting on the parameters such as air injection, oil injection and ignition to finish the diagnosis of the TWC, so that whether the TWC fails or not is identified.
Fig. 2 is a schematic diagram of a conventional TWC diagnosis strategy, and for the current TWC diagnosis strategy, the EMS can only diagnose the TWC according to preset control rules, that is, after the operating condition of the engine meets the diagnosis condition of the TWC, the EMS will adjust relevant fuel injection, air intake and ignition parameters to meet the diagnosis requirement of the TWC, and then enter the TWC diagnosis process. And once the running condition of the engine is changed to cause that the diagnosis condition is not met, the diagnosis is stopped, and for the incomplete diagnosis, the diagnosis is carried out again as long as the running condition of the engine at the next time can meet the condition required by the diagnosis until the diagnosis is completed. This may lead to several triggers of a diagnosis during actual driving, which may not only lead to a reduction in the efficiency of the diagnosis, but also to an adverse effect on fuel consumption, emissions and drivability due to the special intake, injection and ignition settings of the engine during the diagnosis. Moreover, the current diagnostic strategy cannot reasonably arrange the trigger sequence of each diagnosis, so that the overall diagnostic efficiency cannot be improved.
Disclosure of Invention
The invention aims to provide a prediction type three-way catalyst diagnosis control system and method based on internet information, so as to improve the diagnosis problem of a three-way catalyst of a vehicle and improve the diagnosis efficiency of the three-way catalyst of the vehicle.
In order to achieve the above object, the present invention provides a predictive three-way catalyst diagnostic control system based on internet information, the diagnostic control system comprising: an on-board domain controller to:
acquiring navigation information of a target path between a starting point and a destination according to the current starting point position information and destination position information;
generating road condition information corresponding to the target path according to the navigation information and environmental information acquired by a vehicle-mounted sensor;
obtaining current state information of a vehicle power system;
predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system;
planning a three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path;
and executing a diagnosis process for the three-way catalyst during the running of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the navigation information includes: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road and the corresponding distance of each speed section.
Optionally, the environmental information acquired by the vehicle-mounted sensor includes: vehicle distance information and obstacle information.
Optionally, the current state information of the vehicle powertrain includes: engine torque-speed curve and transmission gear.
Optionally, the vehicle-mounted domain controller is configured to predict trigger conditions and durations of various diagnoses of the three-way catalyst in the target path according to the predicted working condition curve; and determining the trigger sequence and trigger time of each diagnosis according to the trigger condition and duration of each diagnosis.
Optionally, the diagnostic control system further comprises: an engine controller;
the on-board domain controller is used for sending the optimal three-way catalyst diagnosis strategy to the engine controller;
the engine controller is used for receiving the optimal three-way catalyst diagnosis strategy and executing a diagnosis process aiming at the three-way catalyst in the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the diagnostic control system further comprises: a cloud server;
the vehicle-mounted domain controller is further used for sending the current starting point position information and the destination position information to the cloud server;
the cloud server is used for: receiving the current starting point position information and the destination position information sent by the vehicle-mounted domain controller; acquiring navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information; sending navigation information of a target path between the starting point and the destination to the vehicle-mounted domain controller;
the vehicle-mounted domain controller is further used for receiving navigation information of a target path between the starting point and the destination, which is sent by the cloud server.
In order to achieve the above object, the present invention further provides a predictive three-way catalyst diagnostic control method based on internet information, which is implemented by using a predictive three-way catalyst diagnostic control system, wherein the predictive three-way catalyst diagnostic control system includes a vehicle-mounted domain controller, and the diagnostic control method includes:
the vehicle-mounted domain controller acquires navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information;
generating road condition information corresponding to the target path according to the navigation information and environmental information acquired by a vehicle-mounted sensor;
obtaining current state information of a vehicle power system;
predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system;
planning a three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path;
and executing a diagnosis process for the three-way catalyst during the running of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the navigation information includes: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road and the corresponding distance of each speed section.
Optionally, the environmental information acquired by the vehicle-mounted sensor includes: vehicle distance information and obstacle information.
Optionally, the current state information of the vehicle powertrain includes: engine torque-speed curve and transmission gear.
Optionally, the planning the three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path includes:
according to the predicted working condition curve, predicting trigger conditions and duration of various diagnoses of the three-way catalyst under the target path;
and determining the trigger sequence and trigger time of each diagnosis according to the trigger condition and duration of each diagnosis.
Optionally, the predictive three-way catalyst diagnostic control system further comprises: an engine controller;
the executing a three-way catalyst diagnostic process according to the optimal three-way catalyst diagnostic strategy includes:
and sending the optimal three-way catalyst diagnosis strategy to the engine controller so that the engine controller executes a diagnosis process aiming at the three-way catalyst in the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the predictive three-way catalyst diagnostic control system further comprises: a cloud server;
the obtaining navigation information of the target path between the starting point and the destination according to the current starting point position information and the destination position information comprises:
sending the current starting point position information and the destination position information to the cloud server so that the cloud server obtains navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information;
and receiving navigation information of a target path between the starting point and the destination sent by the cloud server. Compared with the prior art, the prediction type three-way catalyst diagnosis control system and method based on the internet information provided by the invention have the advantages that the road condition information corresponding to the target path is generated based on the navigation information of the target path between the starting point and the destination and the environment information acquired by the vehicle sensor, the working condition curve of the engine in the target path is predicted according to the road condition information and the current state information of the vehicle power system, the three-way catalyst diagnosis strategy in the target path is further planned, the optimal three-way catalyst diagnosis strategy in the target path is obtained, and the diagnosis process aiming at the three-way catalyst is executed in the vehicle driving process according to the optimal three-way catalyst diagnosis strategy. By using the predictive three-way catalyst diagnosis control strategy on the vehicle, the diagnosis problem of the three-way catalyst of the vehicle can be effectively improved, the diagnosis efficiency of the three-way catalyst of the vehicle is improved, the oil consumption and the emission can be reduced, and the driving feeling of the vehicle is improved.
Drawings
FIG. 1 is a block diagram of an engine and aftertreatment system of a conventional gasoline vehicle;
FIG. 2 is a schematic diagram of a prior art three-way catalyst diagnostic strategy;
FIG. 3 is a schematic structural diagram of a predictive three-way catalyst diagnostic control system based on networking information according to an embodiment of the invention;
FIG. 4 is a schematic diagram of a diagnostic strategy of a predictive three-way catalyst diagnostic control system based on networking information according to an embodiment of the invention;
fig. 5 is a schematic flowchart of a predictive three-way catalyst diagnostic control method based on internet information according to an embodiment of the present invention.
Detailed Description
The following describes a system and a method for predictive three-way catalyst diagnostic control based on internet information in detail with reference to the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more fully apparent from the appended claims and the following description.
Example one
The invention provides a prediction type three-way catalytic converter diagnosis control system based on network connection information, which at least comprises: the vehicular domain controller XCU may further include: the engine controller EMS, further may further include: a remote cloud server.
The technical solution of the present invention will be described below by taking as an example that the system includes a vehicle-mounted domain controller XCU and an engine controller EMS.
Fig. 3 is a schematic diagram of a predictive three-way catalyst diagnostic control system based on networking information, wherein an XCU is a vehicle-mounted domain controller, and the controller CAN communicate with a map server outside a vehicle through a 4G signal and CAN also communicate with other vehicle-mounted controllers (such as EMS) through a CAN (controller area Network) protocol. The XCU also has a data processing function, and can process the acquired information into commands required by other controllers and provide the commands to the other controllers.
The implementation principle of the present invention is mainly based on the functionality of XCU as above. As shown in the schematic diagram of the diagnosis strategy in fig. 4, when the vehicle is ready to run, the XCU inputs the position information of the starting point and the destination to the map server, and then the XCU acquires the navigation information of the target path between the starting point and the destination from the map server, and generates the road condition information of the target path between the starting point and the destination by combining the environment information acquired by the relevant sensors (radar and camera) of the vehicle itself. The XCU combines the road condition information of the target path and the current state information of the vehicle power system provided by the EMS, obtains a working condition curve of the engine under the target path after processing, then reasonably sets a diagnosis strategy of the three-way catalyst according to the working condition curve of the engine, plans the diagnosis strategy of the three-way catalyst under the whole target path, and obtains the optimal diagnosis strategy of the three-way catalyst under the target path. Then the XCU sends the optimal three-way catalytic converter diagnosis strategy to the EMS, and after the EMS receives the XCU prediction type diagnosis strategy, the fuel injection quantity, the air intake quantity and the ignition time of the engine are controlled to implement a specific diagnosis process.
The road condition information is target speed information of a vehicle between a current position and a destination path, and is mainly related to the following factors: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road, the corresponding distance of each speed section, the vehicle distance and the obstacle information are related; the traffic flow speed, the road highest speed limit, the road lowest speed limit and the distance corresponding to each speed section can be obtained from navigation information, the vehicle distance information and the obstacle information can be obtained through a vehicle-mounted sensor (a radar and a camera), and meanwhile the road highest speed limit, the road lowest speed limit and the obstacle information can also be checked through the vehicle-mounted camera.
The state information of the vehicle power system refers to the states of various power devices of the whole vehicle power system including an engine and a gearbox, and the states of the vehicle power system are mainly related to the following factors: an engine torque-rotating speed curve, a gearbox gear and the like; the parameters of the engine torque-rotating speed curve, the gear position of the gearbox and the like are transmitted to the XCU by the EMS through the CAN.
In the process that the vehicle drives from a starting point to a destination, the road condition information and the state information of the vehicle power system determine different engine working condition curves, so that the XCU can predict the working condition points of the engine in the whole marked path according to the road condition information and the state information of the vehicle power system. After the predicted engine working condition curve is determined, the XCU can predict the trigger conditions and the duration of various diagnoses of the three-way catalyst under the whole target path according to the predicted engine working condition curve, and then determine the trigger sequence and the trigger time of various diagnoses according to the trigger conditions and the duration of various diagnoses.
It should be noted that, when the XCU is powered on, the vehicle control system first checks whether the XCU function is available, and only after confirming that the XCU function is available, the vehicle control system triggers the prediction type three-way catalyst diagnosis policy mode based on the internet connection information according to the present invention, otherwise, the vehicle control system adopts a default mode, in which the XCU does not input any prediction type information to the EMS, and the EMS performs calculation according to a predetermined diagnosis policy (such as the conventional three-way catalyst diagnosis policy shown in fig. 2).
It can be seen that the technical solution of the present invention is realized by adding an XCU and its software functional design based on the existing vehicle system structure (as shown in fig. 1), the control principle of the technical solution is shown in fig. 4, and compared with the prior art (as shown in fig. 2), the differences of the adopted technical means are as follows:
1) the information acquisition capabilities differ: the conventional engine control system does not comprise an XCU (see figure 2), the EMS can only acquire vehicle-mounted sensor information and cannot acquire detailed navigation information from an external map server, the XCU is added on the basis of the conventional engine control system, the XCU not only can acquire the vehicle-mounted sensor information, but also can communicate with the external map server to acquire the navigation information, and meanwhile, the XCU also can acquire the state information of a vehicle power system for subsequent information processing, so that the XCU has stronger information acquisition capability.
2) The information processing capabilities differ: in the prior art, a vehicle-mounted sensor can only detect information in a limited range around a vehicle and supply the information to a vehicle power control system for use, and although navigation information can predict the information of the whole path, the current vehicle power control system cannot effectively integrate the information to realize effective control of the vehicle; in the invention, the XCU not only can comprehensively process all acquired information including vehicle-mounted sensors and navigation information to provide road condition information required by predicting the working condition curve of the engine, but also can determine a predictive three-way catalytic converter diagnosis strategy according to the road condition information and the state information of a vehicle power system;
3) the optimization modes are different: the existing technology can not optimize the diagnosis strategy of the three-way catalyst according to the navigation information, and can only be executed according to the control rule preset by EMS under any road condition; the XCU generates road condition information according to navigation and sensor information, predicts the working condition point information of the engine in advance by combining the road condition information in the section of path, then reasonably plans a diagnosis strategy of the three-way catalyst according to the information, and the EMS executes a preset control rule according to the command of the XCU.
In the above embodiment, the predictive three-way catalyst diagnostic control system based on the internet information provided by the invention simultaneously includes an on-board domain controller XCU and an engine controller EMS. It is understood that, in alternative embodiments of the present invention, the predictive three-way catalyst diagnostic control system based on the internet information provided by the present invention can be in the following four modes:
(1) the XCU mode is a mode in which an XCU is added to a vehicle and an EMS in a vehicle power control system is removed, and the XCU performs the following functions: EMS related functions of the original vehicle; the system comprises a navigation information and vehicle-mounted sensor information collection function, a navigation information and vehicle-mounted sensor information processing function, a predicted engine working condition curve determination function and a predicted three-way catalyst diagnosis function;
(2) the XCU + EMS mode is that an XCU is additionally arranged on a vehicle, and a power control system of an original vehicle is kept unchanged, wherein the XCU plays the following roles: the system comprises a navigation information and vehicle-mounted sensor information collection function, a navigation information and vehicle-mounted sensor information processing function, a predicted engine working condition curve determination function and a predicted three-way catalyst diagnosis function;
(3) the cloud server + XCU mode is that a remote cloud server is set, an XCU is additionally arranged on a vehicle, an original engine controller EMS is cancelled, and the XCU plays the following roles: the method comprises the following steps of collecting and processing vehicle-mounted sensor information, receiving navigation information processed by a cloud server, checking the received navigation information processed by the cloud server by utilizing the sensor information, determining a predicted engine working condition curve and performing a predicted three-way catalyst diagnosis function; EMS related functions of the original vehicle;
the cloud server undertakes the following functions: and collecting and processing navigation information.
(4) The cloud server + XCU + EMS mode is that a remote cloud server is set up, an XCU is additionally arranged on the vehicle, a control system of the original vehicle is kept unchanged, and the XCU plays the following roles: the method comprises the following steps of collecting and processing vehicle-mounted sensor information, receiving navigation information processed by a cloud server, checking the received navigation information processed by the cloud server by utilizing the sensor information, determining a predicted engine working condition curve and performing a predicted three-way catalyst diagnosis function;
the cloud server undertakes the following functions: and collecting and processing navigation information.
Example two
As shown in fig. 5, the predictive three-way catalyst diagnostic control method based on internet information in this embodiment is implemented by using the predictive three-way catalyst diagnostic control system based on internet information, where the predictive three-way catalyst diagnostic control system includes an on-vehicle domain controller, and the diagnostic control method includes:
step S1, the vehicle-mounted domain controller obtains the navigation information of the target path between the starting point and the destination according to the current starting point position information and the destination position information;
step S2, generating road condition information corresponding to the target path according to the navigation information and the environmental information acquired by the vehicle-mounted sensor;
step S3, obtaining the current state information of the vehicle power system;
step S4, predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system;
step S5, planning a three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path;
and step S6, executing a diagnosis process aiming at the three-way catalyst during the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the navigation information includes: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road and the corresponding distance of each speed section.
Optionally, the environmental information acquired by the vehicle-mounted sensor includes: vehicle distance information and obstacle information.
Optionally, the current state information of the vehicle powertrain includes: engine torque-speed curve and transmission gear.
Optionally, in step S5, planning the three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path, where the method includes:
according to the predicted working condition curve, predicting trigger conditions and duration of various diagnoses of the three-way catalyst under the target path;
and determining the trigger sequence and trigger time of each diagnosis according to the trigger condition and duration of each diagnosis.
Optionally, the system for diagnosing and controlling a three-way catalytic converter based on internet information further includes: an engine controller;
the step S6 executes a three-way catalyst diagnosis process according to the optimal three-way catalyst diagnosis strategy, including:
and sending the optimal three-way catalyst diagnosis strategy to the engine controller so that the engine controller executes a diagnosis process aiming at the three-way catalyst in the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
Optionally, the system for diagnosing and controlling a three-way catalytic converter based on internet information further includes: a cloud server;
the step S1 obtains the navigation information of the target path between the starting point and the destination according to the current starting point location information and the destination location information, and includes:
sending the current starting point position information and the destination position information to the cloud server so that the cloud server obtains navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information;
and receiving navigation information of a target path between the starting point and the destination sent by the cloud server.
In summary, in the predictive three-way catalyst diagnostic control system and method based on the internet information provided by the invention, the road condition information corresponding to the target path is generated based on the navigation information of the target path between the starting point and the destination and the environment information acquired by the vehicle sensor, the working condition curve of the engine in the target path is predicted according to the road condition information and the current state information of the vehicle power system, the three-way catalyst diagnostic strategy in the target path is further planned, the optimal three-way catalyst diagnostic strategy in the target path is obtained, and the diagnostic process for the three-way catalyst is executed in the vehicle driving process according to the optimal three-way catalyst diagnostic strategy. By using the prediction type three-way catalyst diagnosis control strategy on the vehicle, the diagnosis problem of the three-way catalyst of the vehicle can be effectively improved, the diagnosis efficiency of the three-way catalyst of the vehicle is improved, the oil consumption can be reduced, and the driving feeling of the vehicle is improved
The above description is only for the purpose of describing the preferred embodiments of the present invention, and is not intended to limit the scope of the present invention, and any variations and modifications made by those skilled in the art based on the above disclosure are within the scope of the appended claims.

Claims (14)

1. A predictive three-way catalyst diagnostic control system based on networking information, the diagnostic control system comprising: an on-board domain controller to:
acquiring navigation information of a target path between a starting point and a destination according to the current starting point position information and destination position information;
generating road condition information corresponding to the target path according to the navigation information and environmental information acquired by a vehicle-mounted sensor;
obtaining current state information of a vehicle power system;
predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system;
planning a three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path;
and executing a diagnosis process for the three-way catalyst during the running of the vehicle according to the optimal three-way catalyst diagnosis strategy.
2. The diagnostic control system of claim 1, wherein the navigation information comprises: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road and the corresponding distance of each speed section.
3. The diagnostic control system of claim 1, wherein the environmental information acquired by the onboard sensors comprises: vehicle distance information and obstacle information.
4. The diagnostic control system of claim 1, wherein the current state information of the vehicle powertrain system comprises: engine torque-speed curve and transmission gear.
5. The diagnostic control system of any one of claims 1-4, wherein the on-board domain controller is configured to predict trigger conditions and durations for various diagnostics of the three-way catalyst for the target path based on the predicted operating profile; and determining the trigger sequence and trigger time of each diagnosis according to the trigger condition and duration of each diagnosis.
6. The diagnostic control system of claim 1, wherein the diagnostic system further comprises: an engine controller;
the on-board domain controller is used for sending the optimal three-way catalyst diagnosis strategy to the engine controller;
the engine controller is used for receiving the optimal three-way catalyst diagnosis strategy and executing a diagnosis process aiming at the three-way catalyst in the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
7. The diagnostic control system of claim 1 or 6, wherein the diagnostic system further comprises: a cloud server;
the vehicle-mounted domain controller is further used for sending the current starting point position information and the destination position information to the cloud server;
the cloud server is used for: receiving the current starting point position information and the destination position information sent by the vehicle-mounted domain controller; acquiring navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information; sending navigation information of a target path between the starting point and the destination to the vehicle-mounted domain controller;
the vehicle-mounted domain controller is further used for receiving navigation information of a target path between the starting point and the destination, which is sent by the cloud server.
8. A prediction type three-way catalyst diagnosis control method based on network connection information is characterized by being realized by adopting a prediction type three-way catalyst diagnosis control system, the prediction type three-way catalyst diagnosis control system comprises a vehicle-mounted domain controller, and the diagnosis control method comprises the following steps:
the vehicle-mounted domain controller acquires navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information;
generating road condition information corresponding to the target path according to the navigation information and environmental information acquired by a vehicle-mounted sensor;
obtaining current state information of a vehicle power system;
predicting a working condition curve of the engine under the target path according to the road condition information corresponding to the target path and the current state information of the vehicle power system;
planning a three-way catalyst diagnosis strategy under the target path according to the predicted working condition curve to obtain an optimal three-way catalyst diagnosis strategy under the target path;
and executing a diagnosis process for the three-way catalyst during the running of the vehicle according to the optimal three-way catalyst diagnosis strategy.
9. The diagnostic control method of claim 8, wherein the navigation information comprises: the traffic flow speed, the highest speed limit of the road, the lowest speed limit of the road and the corresponding distance of each speed section.
10. The diagnostic control method according to claim 8, wherein the environmental information acquired by the in-vehicle sensor includes: vehicle distance information and obstacle information.
11. The diagnostic control method according to claim 8, characterized in that the current state information of the vehicle powertrain system includes: engine torque-speed curve and transmission gear.
12. The diagnostic control method of any one of claims 8 to 11, wherein the planning the three-way catalyst diagnostic strategy under the target path according to the predicted operating condition curve to obtain an optimal three-way catalyst diagnostic strategy under the target path comprises:
according to the predicted working condition curve, predicting trigger conditions and duration of various diagnoses of the three-way catalyst under the target path;
and determining the trigger sequence and trigger time of each diagnosis according to the trigger condition and duration of each diagnosis.
13. The diagnostic control method according to claim 8, characterized in that the predictive three-way catalyst diagnostic control system further comprises: an engine controller;
the executing a three-way catalyst diagnostic process according to the optimal three-way catalyst diagnostic strategy includes:
and sending the optimal three-way catalyst diagnosis strategy to the engine controller so that the engine controller executes a diagnosis process aiming at the three-way catalyst in the running process of the vehicle according to the optimal three-way catalyst diagnosis strategy.
14. The diagnostic control method according to claim 8 or 13, characterized in that the predictive three-way catalyst diagnostic control system further includes: a cloud server;
the obtaining navigation information of the target path between the starting point and the destination according to the current starting point position information and the destination position information comprises:
sending the current starting point position information and the destination position information to the cloud server so that the cloud server obtains navigation information of a target path between the starting point and the destination according to the current starting point position information and the destination position information;
and receiving navigation information of a target path between the starting point and the destination sent by the cloud server.
CN201811543279.2A 2018-12-17 2018-12-17 Prediction type three-way catalytic converter diagnosis control system and method based on network connection information Pending CN111322142A (en)

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