DE202023104061U1 - An AI-powered predictive maintenance system for hybrid vehicle powertrains - Google Patents

Abstract

An artificial intelligence-based predictive maintenance system for hybrid vehicle powertrains, the system comprising:
a data acquisition device (102) for communicating with a vehicle sensor network (104) to read and convert real-time vehicle data into parameter value pairs via a serial data communication protocol (106);
a cloud server platform (108) coupled to a database (110) to store decoded data as vehicle status snapshots with the current timestamp;
an active control unit (112) for providing reactive behavior for an incoming vehicle snapshot, characterized in that expert knowledge for predicting errors is collected and converted into active rules, triggering an active database management system to store active rules and anomalous vehicle snapshots recognize;
a control unit (114) for detecting errors in real time and for issuing a warning signal to the driver or technician, the control unit (114) being configured to:
a) the start trigger rule processing for detecting the occurrence of events and executing an action to trigger a monitor trigger or start trigger acts as a rule if the rule has a deferred condition, because the start trigger starts the deferred one evaluate condition;
b) activate the monitor trigger upon fulfillment of a deferred condition;
c) create a new transaction and rely on monitor meta for data monitor processing;
d) controlling the driving force source of a braking device coupled to a braking system, adjusting the angle of a steering wheel via an instrument of the steering device, and the electrical storage device;
a rule management unit (118) consists of a back-end protocol for managing rules, the rule management unit (118) enabling administrators to map entities and rules in a database (110) through back-end software rather than the database (110 ) to operate directly, reducing the maintenance work of the database (110) and SQL queries in the back-end log searching for all information stored in the database (110); and
a graphical user interface (120) for interacting with users via front-end applications and displaying vehicle conditions, allowing experts to create or update rules, the graphical user interface (120) allowing experts to identify new fault symptoms based on of all sensors displayed in the user interface.

Description

FIELD OF THE INVENTION

The present disclosure relates to an AI-based predictive maintenance system for hybrid vehicle powertrains. More specifically, the predictive control of a powertrain system based on vehicle-to-vehicle communication.

BACKGROUND OF THE INVENTION

The U.S. Department of Transportation and the National Highway Traffic Safety Administration use vehicle-to-vehicle (V2V) communications to warn drivers of impending crashes and share basic safety information. V2V correspondence (or just V2V) involves the dynamic, remote exchange of information between neighboring vehicles, opening doors to important safety improvements. V2V uses a vehicle-mounted DSRC (Devoted Short Reach Correspondence) radio to send messages about the vehicle's speed, heading, braking status and other data to other vehicles and to receive similar messages from other vehicles.

These messages, called Basic Safety Messages (BSM), can be derived from vehicle-based sensor data or non-vehicle-based techniques such as GPS, which use data from the vehicle's onboard computer to determine the vehicle's position and speed. To provide more comprehensive and detailed situational awareness of the location of other vehicles, data from vehicle-based sensor systems can be combined with other data such as latitude, longitude and angle. Thus, by exchanging messages with other vehicles via V2V, the vehicle can calculate risks based on the location, speed or trajectory of surrounding vehicles, provide advice or warnings to the driver, and take preventive measures to avoid and reduce accidents. It can also automatically detect the location of vehicles in the environment with 360-degree perception and the potential dangers they pose. Widespread adoption of V2V is the goal of government agencies, automakers and others so that every vehicle on the road (car, truck, bus, motorcycle, etc.) is finally ready to talk to other vehicles via V2V.

The V2V innovation offers various advantages for smart transport systems. The V2V information can be used to improve the overall drivability of the current vehicle. For example, a hybrid electric vehicle (HEV) uses a hybrid powertrain with two or more energy sources. HEVs are typically powered by a mix of a gas-powered engine and a battery-electric propulsion system. The power sources can be connected in series to increase speed simultaneously, or they can be connected in series with the first source responsible for increasing speed and a second hotspot for extending the power of the primary source. To get the most out of an HEV's performance, it is important to use multiple energy sources effectively.

Considering the previous discussion, it is clear that there is a need for an AI-based predictive maintenance system for hybrid vehicle powertrains.

SUMMARY OF THE INVENTION

The present disclosure aims to provide a predictive maintenance system for hybrid vehicle powertrains by combining traditional hybrid powertrain control strategies with AI-based control strategies to exert more advanced control over the hybrid powertrain.

In one embodiment, an AI-based predictive maintenance system for hybrid vehicle powertrains is disclosed. The system includes a data acquisition device for communicating with a vehicle sensor network to read and convert real-time vehicle data into parameter value pairs via a serial data communication protocol.

The system also includes a cloud server platform coupled with a database to store decoded data as vehicle status snapshots with the current timestamp.

The system further includes an active control unit for providing reactive behavior to an incoming vehicle snapshot, characterized in that expert knowledge for predicting failures is collected and converted into active rules, triggering an active database management system to store active rules and abnormal vehicle snapshots to recognize.

The system further includes a control unit for detecting errors in real time and issuing a warning signal to the driver or technician, the control unit being configured to: a)start trigger rule processing to detect the occurrence of events and perform an action to fire a monitor trigger or start a start trigger that acts as a rule if the rule has a deferred condition during the start Trigger begins evaluating the deferred condition; b)activate the monitor trigger to satisfy a deferred condition; c)create a new transaction and rely on the monitor meta during data monitoring processing; and d) control the driving force source of a braking device coupled to a braking system, adjust the angle of a steering wheel via an instrument of the steering device and the electrical storage device.

The system further includes a rule management unit consisting of a back-end protocol for managing rules, the rule management unit allowing administrators to map entities and rules into a database via back-end software instead of operating the database directly, where database maintenance work is reduced and SQL queries in the backend log search all information stored in the database.

The system further includes a graphical user interface for interacting with users through front-end applications and displaying vehicle conditions and allows experts to create or update rules, wherein the graphical user interface allows experts to identify new fault symptoms based on all in sensors displayed in the user interface.

The subject of the present disclosure is a telematics gateway that allows vehicles to communicate with a back office system.

Another goal of the present disclosure is to predict bus failures based on the operating conditions of the bus rather than on a specific point in time, which is both time and cost efficient and causes fewer disruptions.

Another aim of the present invention is to provide a rapid and cost-effective AI-based predictive maintenance system for hybrid vehicle powertrains.

In order to further illustrate the advantages and features of the present disclosure, a more detailed description of the invention will be given by reference to certain embodiments shown in the accompanying drawings. It is understood that these drawings illustrate only typical embodiments of the invention and therefore should not be considered as limiting the scope of the invention. The invention will be described and explained with additional specificity and detail with the accompanying drawings.

BRIEF DESCRIPTION OF THE ILLUSTRATION

• zeigt ein Blockdiagramm eines KI-basierten vorausschauenden Wartungssystems für Hybridfahrzeug-Antriebsstränge gemäß einer Ausführungsform der vorliegenden Offenbarung.

These and other features, aspects and advantages of the present disclosure will be better understood when the following detailed description is read with reference to the accompanying drawings, in which like symbols represent like parts, in which:

• shows a block diagram of an AI-based predictive maintenance system for hybrid vehicle powertrains according to an embodiment of the present disclosure.

Those skilled in the art will understand that the elements in the drawing are shown for convenience and are not necessarily drawn to scale. For example, the flowcharts illustrate the method through key steps to enhance understanding of aspects of the present disclosure. In addition, one or more components of the device may be represented in the drawing by conventional symbols, and the drawing shows only the specific details relevant to understanding the embodiments of the present disclosure, rather than cluttering the drawing with details overload, which will be readily apparent to those skilled in the art who are familiar with the present description.

DETAILED DESCRIPTION:

In order to promote understanding of the invention, reference will now be made to the embodiment shown in the drawing and this will be described in specific words. It is to be understood, however, that this is not intended to limit the scope of the invention, but such changes and further modifications to the system illustrated and such further applications of the principles of the invention set forth therein are contemplated by one skilled in the art invention would normally come up with.

Those skilled in the art will understand that the foregoing general description and the following detailed description are exemplary and illustrative of the invention and are not to be viewed as limiting.

When reference is made to “an aspect,” “another aspect,” or the like in this description, it means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment included in the present disclosure. Therefore, the expressions “in one embodiment,” “in another embodiment,” and similar expressions in this specification may or may not all refer to the same embodiment.

The terms "comprising", "including" or other variations thereof are intended to cover non-exclusive inclusion, so that a method or method comprising a list of steps not only includes those steps but may also include other steps that are not are expressly listed or belong to such a process or method. Likewise, one or more devices or subsystems or elements or structures or components introduced with "comprises...a" do not exclude, without further limitation, the existence of other devices or other subsystems or other elements or other structures or other components or additional devices or additional subsystems or additional elements or additional structures or additional components.

Unless otherwise defined, all technical and scientific terms used herein have the same meaning as generally understood by one skilled in the art to which this invention pertains. The system, methods and examples provided herein are for illustrative purposes only and are not intended to be limiting.

Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.

In Illustrated is a block diagram of an AI-based predictive maintenance system for hybrid vehicle powertrains in accordance with an embodiment of the present disclosure. The system 100 includes a data acquisition device 102 for communicating with a vehicle sensor network 104 to read and convert real-time vehicle data into parameter value pairs via a serial data communications protocol 106.

In one embodiment, a cloud server platform 108 is coupled to the database 110 to store decoded data as vehicle status snapshots with the current timestamp.

In one embodiment, an active control unit 112 is coupled to the cloud server platform 108 to provide reactive behavior for an incoming vehicle snapshot, characterized in that expert knowledge for predicting failures is collected and converted into active rules, wherein a active database management system is triggered to store active rules and detect abnormal vehicle snapshots.

1. a) eine Triggerregelverarbeitung zu starten, um das Auftreten von Ereignissen zu detektieren und eine Aktion auszuführen, um einen Monitor-Trigger auszulösen, oder einen Start-Trigger als Regel auszuführen, wenn die Regel eine aufgeschobene Bedingung hat, wenn der Start-Trigger beginnt, die aufgeschobene Bedingung auszuwerten,
2. b) den Monitor-Trigger zu aktivieren, um eine aufgeschobene Bedingung zu erfüllen,
3. c) eine neue Transaktion zu erzeugen und sich auf die Monitor-Meta während der Daten-Monitor-Verarbeitung zu verlassen, und
4. d) eine Antriebskraftquelle einer Bremsvorrichtung zu steuern, die mit einem Bremssystem 116 gekoppelt ist, den Winkel eines Lenkrads über ein Instrument der Lenkvorrichtung und der elektrischen Speichereinrichtung einzustellen.

In one embodiment, a controller 114 is configured for real-time fault detection and issuing a warning signal to a driver or technician, the controller 114 being configured to:

1. a) start trigger rule processing to detect the occurrence of events and execute an action to trigger a monitor trigger, or execute a start trigger as a rule if the rule has a deferred condition when the start trigger begins, evaluate the deferred condition,
2. b) activate the monitor trigger to fulfill a deferred condition,
3. c) create a new transaction and rely on the monitor meta during data monitor processing, and
4. d) control a driving force source of a braking device coupled to a braking system 116, adjust the angle of a steering wheel via an instrument of the steering device and the electrical storage device.

In one embodiment, a rules management unit 118 consists of a back-end protocol for managing rules, where the rules management unit 118 allows administrators to map entities and rules into a database 110 via back-end software rather than serving the database 110 directly , where the maintenance work of the database 110 is reduced and SQL queries in the back-end log search all information stored in the database 110.

In one embodiment, a graphical user interface 120 is used to interact with users via front-end applications and displays vehicle conditions and allows experts to create or update rules, where the graphical user interface 120 allows experts to report new error symptoms on the basis of all sensors displayed in the user interface.

In another embodiment, the backend protocol is configured with RESTful APIs to transmit data to the cloud server platform 108.

In another embodiment, the rule is triggered when new sensor data is inserted and a previous rule occurs, with the coupling modes depending on the classification of the conditions so that when events occur, the conditions are evaluated as quickly as possible or checked over time.

In another embodiment, a new transaction should be created to record the data during the period and evaluate the conditions in the new transaction if the audit requires access to previous states.

In another embodiment, the coupling modes are selected according to a series of parameters from the E-coupling or the CA-coupling, the series of parameters being immediate, delayed and separated events.

In another embodiment, the results of executing the monitor trigger are identical to the actions of the rule.

In another embodiment, the control unit 114 is configured to control the driving power source, the braking device, the steering device, and the electric storage device so that the vehicle can drive automatically and without a driver.

In another embodiment, the control unit 114 includes a first communication line connecting the steering device and a second communication line connecting a drive control mechanism and each of the control mechanisms of the second braking mechanism and the second steering mechanism so that they can communicate with each other.

In another embodiment, the system further comprises: a first control device configured to control a first train provided with a clutch; and a second control device for controlling a second train connected to the rear of the first train via the clutch during separation of the first train and the second train by releasing the clutch while driving, wherein any abnormality in the braking device of the second train is determined and the travel of at least one of the first train and the second train is controlled, and the first train and the second train are characterized in that the distance of the vehicle is separated.

In another embodiment, a host communications unit for receiving messages sent from one or more remote vehicles using communications, a controller of the host vehicle configured to receive the information contained in the received V2V message used to identify at least one of the one or more remote vehicles located in front of the host vehicle, select a V2V message from those received from at least one identified vehicle, a powertrain of the host vehicle in light of Control data stored for the selected V2V message and use the information contained in the selected V2V message to initiate one of the numerous hybrid modes.

The terminology used in this document is intended only to describe certain embodiments and is not intended to limit the disclosure. As used, the special structures “a,” “an,” and “the” are intended to include the plural structures as well, unless the setting clearly indicates that this is not the case. When the terms “comprises” and/or “comprising” are used in this description, it means that the aforementioned features, integers, steps, operations, elements and/or components are present; however, the inclusion of additional features, integers, steps, operations, elements and/or groups thereof is not excluded. The term “both and” includes all possible combinations of at least one of the things recorded. The term "coupled" means an actual connection between two parts to such an extent that the parts are either directly connected to each other or are connected in a roundabout way through at least a moderate part.

When the term "vehicle" or "vehicle" or similar terms are used in this document, they refer to all types of motor vehicles, including, but not limited to, buses, trucks, passenger cars, sport utility vehicles (SUVs), commercial vehicles (including Boats and ships), aircraft and the like, as well as hybrid, electric, hybrid, hydrogen-powered and other alternative fuel vehicles. An electric vehicle (EV) is a vehicle that generates electrical energy from a rechargeable energy storage device (e.g. one or more rechargeable electrochemical cells or another type of battery) as part uses its driving force. In addition to cars, EVs can also include motorcycles, scooters, carts and other similar vehicles. In addition, a semi-vehicle is a vehicle with at least two power sources, e.g. B. Gas drive and electric drive (e.g. a crossover electric vehicle (HEV)).

It should also be borne in mind that at least one of the accompanying techniques, or prospects thereof, could be carried out by no less than one regulator or Regulator Region Organization (CAN) transport. A vehicle, such as the host vehicle described here, can implement the controller or Controller Area Network (CAN) bus. The term “controller” can refer to a device that contains a memory and a processor. The processor is programmed to execute the program instructions to carry out one or more of the processes described below. Memory is designed to store program instructions. Furthermore, it should be remembered that the accompanying technique can be carried out through a framework reminiscent of a controller for a mixture with at least one additional part, as detailed below.

Further, the current exposure controller could be executed as a non-volatile PC-decryptable medium on a PC-recognizable medium containing executable program guidelines executed by a processor, controller, or the like. Instances of PC significant media include, but are not limited to, ROM, Slam, Minimal Circle (CD)-ROM, Attractive Tape, Floppy Disk, Strip Drive, Smart Card and Optical Information Storage Device. Additionally, a Controller Area Network (CAN) or a telematics server may be used to distribute the computer-readable recording medium across network-connected computer systems, enabling distributed storage and execution of the computer-readable medium.

For purposes of this disclosure, the terms “V2V messages,” “V2V data,” “V2V information,” and similar expressions may refer to messages or information typically sent or received via V2V communication methods.

The drawing and the preceding description provide examples of embodiments. The person skilled in the art will understand that one or more of the elements described can certainly be combined into a single functional element. Alternatively, certain elements can be divided into several functional elements. Elements from one embodiment may be added to another embodiment. For example, the order of the processes described herein may be changed and is not limited to the manner described herein. Additionally, the actions of a flowchart do not have to be performed in the order presented; Not all actions necessarily have to be carried out. The actions that are not dependent on other actions can also be carried out in parallel with the other actions. The scope of the embodiments is in no way limited by these specific examples. Numerous variations are possible, regardless of whether they are explicitly listed in the description or not, such as: B. Differences in structure, dimensions and use of materials. The scope of the embodiments is at least as broad as specified in the following claims.

Advantages, other benefits, and solutions to problems have been described above with respect to particular embodiments. However, the advantages, benefits, solutions and components that may cause an advantage, benefit or solution to occur or become more pronounced are not to be construed as a critical, necessary or essential feature or component of any or all of the claims.

Claims (10)

An artificial intelligence-based predictive maintenance system for hybrid vehicle powertrains, the system comprising: a data acquisition device (102) for communicating with a vehicle sensor network (104) to read and convert real-time vehicle data into parameter value pairs via a serial data communication protocol (106). ; a cloud server platform (108) coupled to a database (110) to store decoded data as vehicle status snapshots with the current timestamp; an active control unit (112) for providing reactive behavior for an incoming vehicle snapshot, characterized in that expert knowledge for predicting failures is collected and converted into active rules, triggering an active database management system to store active rules and anomalous vehicle snapshots recognize; a control unit (114) for detecting errors in real time and for issuing a warning signal to the driver or technician, the control unit (114) being configured to: a) the start trigger rule processing for detecting the occurrence of events and for executing a Action to trigger a monitor Triggers or Start-Triggers acts as a rule if the rule has a deferred condition, as the start trigger begins to evaluate the deferred condition; b) activate the monitor trigger upon fulfillment of a deferred condition; c) create a new transaction and rely on monitor meta for data monitor processing; d) controlling the driving force source of a braking device coupled to a braking system, adjusting the angle of a steering wheel via an instrument of the steering device, and the electrical storage device; a rule management unit (118) consists of a back-end protocol for managing rules, the rule management unit (118) enabling administrators to map entities and rules in a database (110) through back-end software rather than the database (110 ) to operate directly, reducing the maintenance work of the database (110) and SQL queries in the back-end log searching for all information stored in the database (110); and a graphical user interface (120) for interacting with users via front-end applications and displaying vehicle conditions, allowing experts to create or update rules, the graphical user interface (120) allowing experts to report new error symptoms on the based on all sensors displayed in the user interface. System after Claim 1 , where the backend protocol is configured with RESTful APIs to transmit data to the cloud server platform (108). System after Claim 1 , where the rule is triggered upon the insertion of new sensor data and upon the occurrence of a previous rule, with the coupling modes depending on the classification of the conditions so that when events occur, the conditions are evaluated as quickly as possible or reviewed over time. System after Claim 1 , which considers creating a new transaction to record the data over time and evaluate the conditions in the new transaction when the audit requires access to previous states. System after Claim 1 , wherein the coupling modes are selected according to a set of parameters from the E coupling or the CA coupling, the set of parameters being immediate, delayed and separate events. System after Claim 1 , where the results of executing the monitor trigger are identical to the actions of the rule. System after Claim 1 , wherein the control unit (114) is configured to control the driving power source, the braking device, the steering device and the electric storage device so that the vehicle can drive in an automated manner without the use of a driver. System according to one of the Claims 1 and 7 , wherein the control unit (114) comprises a first communication line connecting the steering device; and a second communication line connecting a drive control mechanism and each of the control mechanisms of the second braking mechanism and the second steering mechanism so that they can communicate with each other. System after Claim 1 further comprising: a first control device configured to control a first train provided with a clutch; and a second control device for controlling a second train connected to the rear of the first train via the clutch during separation of the first train and the second train by releasing the clutch while driving, any abnormality in the braking device of the second train is determined and the travel of at least one of the first train and the second train is controlled, and the first train and the second train are characterized by separating the distance of the vehicle. System after Claim 1 , in which a host communication unit receives messages sent from one or more remote vehicles using communications, wherein a controller of the host vehicle is adapted to use the information contained in the received V2V message to at least identify one of the one or more remote vehicles located in front of the host vehicle, select a V2V message from those received from at least one identified vehicle, control a powertrain of the host vehicle in light of data, stored for the selected V2V message, and to use the information contained in the selected V2V message to initiate one of the numerous hybrid modes.

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