192 results about "On-board diagnostics" patented technology

A system and method for ΔI-powered engine diagnostics combine OBD-II data, high-frequency sound, and vibration analysis to detect engine wear and mechanical faults. A detachable puck sensor in the engine bay captures sound and vibration signals, while an OBD-II module collects engine performance metrics. A smartphone app collects and uploads data to a backend AI engine, where Dynamic Time Warping (DTW) aligns event-driven or asynchronous data and time series data from multiple sources, ensuring accurate feature fusion. Machine learning models then detect engine wear, belt degradation, knocking, and bearing faults, generating a diagnostic report with severity assessments and predictive maintenance recommendations. By integrating multi-modal sensor data, this system enhances early-stage fault detection beyond traditional OBD-II diagnostics, offering greater accuracy in assessing physical wear conditions and optimizing vehicle maintenance.

The invention discloses a communication method and system for real-time downloading of vehicle-mounted data, and the method comprises the steps: a ground downloading terminal transmits at least one data downloading request to a wireless transmission platform, the wireless transmission platform carries out resource configuration according to the priority parameters of the data types and sends at least one data downloading request to the vehicle-mounted diagnosis recording unit, the vehicle-mounted diagnosis recording unit carries out identity verification on the at least one data downloading request, if verification succeeds, the at least one data downloading request is decrypted and sent to the vehicle-mounted ATP, and the vehicle-mounted ATP sends the decrypted data downloading request to the wireless transmission platform; and the vehicle-mounted ATP responds to the at least one data downloading request, and encrypts and transmits the corresponding vehicle-mounted log data to the ground downloading terminal according to a priority sequence. According to the invention, the data in the wireless transmission process is dynamically encrypted, and the priority is distinguished according to the data type in the transmission process, so that the vehicle-mounted data can be quickly acquired on the premise of ensuring the transmission safety of the vehicle-mounted data, and the troubleshooting, analysis and repair of faults can be quickly realized.

The invention belongs to the field of intelligent vehicle-mounted technology, and particularly relates to a multifunctional vehicle-mounted sensing detection system based on multi-source information fusion, which comprises multi-source information acquisition, high-precision space-time synchronization and heterogeneous data preprocessing. A heterogeneous sensing system with feature level deep fusion, vehicle state dynamic performance evaluation and adaptive decision and risk evaluation capabilities is constructed, and a driving decision is dynamically adjusted through fusion perception and vehicle performance. The vehicle state and dynamic performance evaluation module is constructed by deeply integrating vehicle internal state data acquired by a vehicle-mounted diagnosis system into a perception fusion and decision planning process, and the core contradiction of disjunction of a perception result and a vehicle dynamic performance strategy is effectively solved. The system can evaluate key performance parameters such as power, braking, steering and the like of the vehicle and potential faults of the key performance parameters in real time, and the driving strategy and the safety margin are dynamically adjusted in the self-adaptive decision and risk evaluation module according to the actual physical limitation of the vehicle.

The invention discloses a motor vehicle servicing integrated management and control method for dynamic set servicing, and the method comprises the steps: collecting the state data of a dynamic set vehicle, predicting the future servicing demand through big data analysis, and generating an optimal servicing plan through a machine learning algorithm; a unified data exchange standard and an information platform are established, the execution condition of an operation plan is monitored in real time, a deep learning technology is used for training a fault prediction model, a vehicle-mounted diagnosis system is integrated, the vehicle state is monitored in real time, analysis and comparison with the fault prediction model are carried out, and a collaborative operation mechanism is established. Communication and cooperation among professionals are promoted through the information platform, the system is maintained and upgraded regularly, the stability and safety of the system are ensured, and efficiency, quality and cost of servicing work are evaluated and analyzed regularly. According to the invention, the whole process and all-around management and control of the dynamic set servicing work are realized, and the efficiency, accuracy and collaboration of the servicing work are improved through real-time data acquisition, intelligent analysis and decision, and automatic work execution and monitoring.

The invention provides a vehicle fault identification method and apparatus, an electronic device, a vehicle, a chip and a medium. The method comprises the steps of obtaining multi-source fault feature data of the vehicle and a weight corresponding to the multi-source fault feature data; the multi-source fault feature data comprises fault feature data corresponding to a sensor, a vehicle-mounted diagnosis system and a vehicle communication system; determining a first fusion feature sequence based on the multi-source fault feature data and a weight corresponding to the multi-source fault feature data; determining a second fusion feature sequence within a preset duration, wherein the second fusion feature sequence is a feature matrix constructed based on the first fusion feature sequence; respectively inputting the second fusion feature sequence into a plurality of classifiers to obtain a plurality of classification results of the vehicle fault type; and identifying a fault type of the vehicle based on the plurality of classification results. According to the vehicle fault identification scheme provided by the invention, the accuracy and comprehensiveness of vehicle fault diagnosis can be improved.

Apparatuses, machine-readable media, and methods related to vehicle diagnosis and repair are described. Receiving vehicle status information from a control panel and / or on board diagnostic (OBD) unit of a vehicle at a vehicle diagnosis and repair too can provide valuable information to an owner and / or user of a vehicle. Computing devices (e.g., mobile devices and / or modules having a computing device) can be configured to run an application (e.g., a vehicle diagnosis and repair tool) to determine whether a vehicle needs to be repaired or serviced according to examples of the present disclosure. The vehicle diagnosis and repair tool can receive vehicle status information, determine the repairs and / or service that the vehicle needs, and initiate the vehicle repairs and / or service.

The invention discloses a vehicle diagnosis method, device and system, and belongs to the technical field of vehicles. The method comprises the steps of obtaining a vehicle identification code of a reference vehicle; according to the first information, second information is generated, and the second information comprises the first information and a first signature value; sending second information to a signature server, and verifying the first signature value by the signature server based on the first information; receiving third information returned by the signature server under the condition that the verification of the first signature value is passed, wherein the third information comprises fourth information and a second signature value; third information is sent to the reference controller of the reference vehicle, the reference controller of the reference vehicle verifies the second signature value based on the fourth information, when the verification of the second signature value is passed, the time corresponding to the reference second number is determined, and when the current time is earlier than the time corresponding to the reference second number, the second signature value is determined. And controlling the access mode of the on-board diagnostic system of the reference vehicle to be a non-secure access mode. The method improves the flexibility and success rate of vehicle diagnosis.

The invention provides a vehicle-mounted diagnosis and remote diagnosis combination method and system, and relates to the technical field of vehicle fault diagnosis, and the method comprises the steps: converting diagnosis service data into a diagnosis script, and deploying the diagnosis script to a vehicle-mounted diagnosis unit for generating a preliminary diagnosis result according to fault data; sending the preliminary diagnosis result and the fault data to a regional diagnosis center to match corresponding computing resources for coordinated analysis, and generating an intermediate diagnosis scheme; and when the confidence coefficient of the middle-level diagnosis scheme is lower than a preset threshold value, submitting the preliminary diagnosis result, the fault data and the middle-level diagnosis scheme to a cloud server for deep analysis to obtain an optimized diagnosis strategy, and respectively issuing the optimized diagnosis strategy to a vehicle-mounted diagnosis unit and a regional diagnosis center to complete collaborative diagnosis. By implementing the method, the three-level diagnosis architecture is constructed, and different architectures complete fault diagnosis of different complexity degrees, so that the pressure of a remote platform is relieved, reasonable allocation of computing resources is realized, and the overall diagnosis efficiency is improved.

The invention discloses a vehicle-mounted diagnosis system based on CAN communication and an adjustable power supply and a method thereof, and relates to the technical field of vehicle electronic diagnosis. Comprising the following steps: a CAN communication acquisition module is used for acquiring a multi-channel CAN message containing a timestamp; the data processing module is used for identifying a signal field in the message and generating a structured signal value; the signal semantic recognition module is used for matching the structured signal with the reference state data and determining a semantic tag of the structured signal; the anomaly detection module identifies structural anomaly, time anomaly and behavior anomaly based on rule judgment and time sequence prediction; the control instruction generation module is used for generating a power supply control instruction according to the abnormal level; and the adjustable power supply equipment module adjusts output voltage and current parameters according to the control instruction and feeds back a power supply state. According to the method, a closed-loop diagnosis process from CAN data acquisition, signal behavior modeling to power supply response control is constructed, and the method is suitable for application scenes such as function verification, anomaly recognition and system testing of the vehicle-mounted electronic control unit.

A splitter harness and a method of installing the splitter harness are provided. The splitter harness includes a main harness segment having a first multi-wire harness connector and a second multi-wire harness connector at both ends thereof, an On-Board Diagnostic (OBD) port harness segment having an OBD port connector at an end thereof, a signal splitter, and a power signal provider for providing power to the OBD port connector. The method includes unplugging the vehicle connector cable connectors, connecting the harness connectors, and connecting the power signal provider to a power source.

A vehicle alert system (10) for instructing observers as to movement of the vehicle. A scoop (12) adheres against an inside surface of a windshield (2) and supports a plurality of illuminating elements (43) communicating with a PCBA (44), along with each of an accelerometer (74), on board diagnostic system and a power supply. In response to a determined acceleration of the structure, the accelerometer (74) inputs a signal to the PCBA (44) representative of the vehicle movement and the PCBA (44) in turn provides an output signal causing illuminating elements to generate a visual output corresponding to said input signal and further representative of a decelerating or braking condition of the vehicle. An ambient light sensor (ALS) can be incorporated into the assembly for managing lighting / LED intensity based upon exterior lighting conditions.

The invention provides an electric vehicle alternating current charging data acquisition and analysis system and method. Wherein the alternating current charging pile, the vehicle charging interface, the vehicle-mounted charger and the high-voltage distribution box are sequentially connected in series; the high-voltage distribution box is respectively connected with the high-voltage load, the power battery and the direct-current converter; the direct-current converter is connected with a low-voltage load; the on-board OBD diagnosis interface is connected with the AC charging pile, the vehicle charging interface, the on-board charger, the high-voltage distribution box, the high-voltage load, the power battery, the DC converter and the low-voltage load. A plurality of data acquisition points are arranged among the devices, and the plurality of data acquisition points are respectively connected with the multi-channel power analyzer. According to the invention, data acquisition points on an electric quantity transmission loop are added, and redundancy check is carried out on the acquired data in combination with monitoring data of each device to ensure data accuracy, so that alternating current charging efficiency and influence factors thereof are quantified, and a direction is provided for subsequent engineering optimization.

A method automatically checks, in an approval procedure for a vehicle, whether an input signal of a control unit for the vehicle is potentially relevant to on-board diagnostics. The method includes using a signal network which represents a signal flow in the control unit. The signal network includes the input signal and at least one on-board diagnostics-relevant output signal. The method also includesbverifying whether a signal connection is present between the input signal and the at least one on-board diagnostics-relevant output signal. The method further includes indicating that the input signal is potentially on-board diagnostics-relevant if the signal connection is present between the input signal and the at least one output signal.

The invention discloses a function layer and protocol analysis layer decoupling vehicle-mounted diagnosis system architecture and a diagnosis method, and the system comprises a function service unit group which is used for sending an abstract diagnosis request to a protocol adaptation bus when a diagnosis operation is executed; the protocol adapter group is used for executing diagnosis operation based on the abstract diagnosis request and sending semantically packaged response data to the protocol adaptation bus; and the protocol adaptation bus is connected between the function service unit group and the protocol adapter group, and is used for transmitting abstract diagnosis requests and response data to the protocol adapter group and the function service unit group respectively, so that decoupling of the function layer and the protocol analysis layer is realized. Through collaborative design of the function service unit group, the protocol adapter group and the protocol adaptation bus, diagnosis function realization and a protocol analysis process are separated, flexible switching between independent evolution of diagnosis service and protocol adaptation is realized, and the method has the advantages of improving system maintainability, expandability and cross-platform compatibility.

The invention relates to the technical field of vehicle-mounted diagnostic services, in particular to a safety authentication method and device for the vehicle-mounted diagnostic services, a vehicle and a storage medium, and the method comprises the steps: generating initial data of a first target byte when a diagnosis authentication request instruction is received, and carrying out the data processing of the initial data, and obtaining to-be-authenticated data of a second target byte, receiving to-be-authenticated data of a third target byte after target cloud data processing, and if the to-be-authenticated data of the second target byte and the third target byte meet a preset matching condition, judging that the vehicle-mounted diagnosis service passes authentication, and unlocking the vehicle-mounted diagnosis service. And based on the diagnosis authentication request instruction, controlling the vehicle-mounted diagnosis service to carry out diagnosis. Therefore, the problems that the security algorithm is easy to crack, the leakage possibility is improved and the like due to the fact that the security algorithm is relatively simple, the mask is relatively short and the security algorithm and the mask are transmitted through a plaintext in the related technology are solved.

The invention provides a multi-link Ethernet message acquisition system and method, and belongs to the technical field of Ethernet message data transmission, the multi-link Ethernet message acquisition system comprises a data acquisition module, a switch module, a vehicle-mounted diagnosis system and a troubleshooting module, and a computer in the troubleshooting module inputs a diagnosis request instruction to the vehicle-mounted diagnosis system. And the vehicle-mounted diagnosis system inputs a diagnosis request instruction to the Ethernet controller through the switch module. And the Ethernet controller adds a label to a specified link message in the diagnosis request instruction according to the diagnosis request instruction and transmits the label to the switch module. And the switch module identifies the link message and then transmits the link message to the vehicle-mounted diagnosis system. And the vehicle-mounted diagnosis system outputs the link message to the troubleshooting module, and the troubleshooting module carries out troubleshooting. According to the invention, the data transmission rate in different local area networks is improved, the response time of the diagnosis request instruction is reduced, and the accuracy of automobile testing is improved.

A diagnostic system for assessing engine wear utilizes data from sensors in a vehicle engine compartment and electronic data from a vehicle communications network to provide a comprehensive diagnostic evaluation. The system includes a sensor device with an audio sensor for capturing engine sound, an accelerometer for detecting vibration, and a near-field communication (NFC) tag for sensor information. The sensor device communicates sound and vibration data to a remote server, while a data acquisition and transfer (DAT) device connected to the vehicle's diagnostic port transmits engine performance metrics. A Dynamic Time Warping (DTW) algorithm aligns time-series data from the sensor and vehicle metrics to identify engine problems. The system supports cloud-based diagnostics and enables optimal sensor placement using geo-location or positional data. Applications include smartphone integration, Wi-Fi 6 communication for high-speed data transfer, and scan modes for varying diagnostic detail levels.

The invention discloses a high-emission diesel vehicle identification method and system based on vehicle-mounted diagnostic data. The method comprises the following steps: acquiring basic data of a diesel vehicle; the diesel vehicle basic data comprises diesel vehicle online monitoring data collected in real time through a vehicle-mounted terminal system; adding a timestamp and a vehicle identification code to the diesel vehicle online monitoring data; on the basis of a data processing rule, the diesel vehicle online monitoring data is cleaned and filtered to ensure the accuracy of the data; according to the processed data, nitric oxide mass flow and emission factors of the diesel vehicle are calculated; the calculation process of the emission factor comprises the following steps: according to the processed data, judging whether the vehicle travel accords with a second-by-second sampling characteristic or not; if yes, the nitrogen oxide mass flow and the engine fuel flow are added up, and the ratio of the nitrogen oxide mass flow and the engine fuel flow serves as the emission factor of the day; otherwise, the emission factor is calculated second by second according to the ratio of the nitric oxide mass flow to the engine fuel flow, and the median of the data sequence is taken as the emission factor of the day; and determining the high-emission diesel vehicle according to the nitrogen oxide mass flow and the emission factor. According to the method, the emission factors are introduced, and the emission factors and the nitrogen oxide emission amount are simultaneously used as judgment criteria to evaluate the emission performance of the vehicle, so that the accuracy and effectiveness of diesel vehicle emission supervision can be improved.

The invention discloses a carbon emission factor optimization method and system for accounting-monitoring interactive verification. The method comprises the following steps: dividing mechanical equipment into core equipment and auxiliary equipment; a vehicle-mounted diagnosis terminal configured to be used for collecting operation state data of the mechanical equipment and a tail gas sensor configured to be used for monitoring direct carbon emission data of the mechanical equipment are installed on the core equipment; recording the daily fuel consumption of the auxiliary equipment; calculating an accounting value of the carbon emission data corresponding to the core equipment and a monitoring value of the carbon emission data corresponding to the auxiliary equipment respectively; calculating the ratio of the monitoring value to the accounting value to obtain a value for data verification and abnormality diagnosis; the emission factor is optimized weekly by a dynamic model according to the value, the time decay factor, and the job scenario. And the accuracy of carbon emission management is improved.

A vehicle diagnostics technology is provided. Further, a vehicle fault diagnostic method, an on-board diagnostic apparatus, and a related system that are used for advanced intelligent driving are provided. In an example method, a first diagnostic module monitors and records first fault information, and a second diagnostic module monitors and records second fault information. The second diagnostic module sends the second fault information to the first diagnostic module. The example method further includes the first diagnostic module communicating with a master computer through a first communication interface and the second diagnostic module communicating with the master computer through a second communication interface.

The invention provides a continuous frame parameter adjustment method, electronic equipment and a system in on-board diagnostic communication. The method comprises the following steps: determining the priority of UDS service; determining a reference value of the first parameter according to the priority of the UDS service; determining a predicted value of a network load at a future moment through a network load prediction model based on the correlation characteristics of the vehicle at the current moment; and correcting the reference value of the first parameter according to the predicted value of the network load at the future moment and the true value of the network load at the current moment to obtain a corrected value of the first parameter. Through the technical scheme of the invention, the continuous frame parameter can adapt to the dynamically fluctuating network load, the loss probability of the continuous frame is reduced, and the stable and effective transmission of the continuous frame is ensured.

A system comprises a dongle and a diagnostic tool. The dongle includes a vehicle communication transceiver (VCT), a first wireless transceiver, and a vehicle connector. The diagnostic tool includes a processor, a proximity sensing component, an output device, and a second wireless transceiver. The proximity sensing component outputs an output signal. The processor receives the output signal and make a determination that indicates whether the output signal indicates an object is in spatial proximity to the proximity sensing component. The processor outputs using the output device a notification based on the determination. The VCT performs a vehicle communication directly with a vehicle while the vehicle connector is connected to an on-board diagnostic connector (OBDC) of the vehicle. The first and second wireless transceivers communicates with each other to trigger a vehicle communication from the dongle to the vehicle while the vehicle connector is connected to the OBDC.

The application relates to the technical field of data acquisition in an on-board diagnostic system, in particular to a data acquisition method based on an OBD on-board diagnostic system and related equipment. The data acquisition method comprises the following steps: receiving a target query instruction, matching a target item to be queried; based on the target item to be queried, acquiring target running data of a vehicle at present; judging whether the target query instruction is consistent with the target item to be queried, if yes, the target running data is taken as output data for output; if no, a target algorithm is matched for operation, and the operated data is taken as the output data for output; judging whether the output data is within a corresponding safety threshold, if no, a preset fault reason is matched for output. The application can improve the flexibility and accuracy of the OBD system in data acquisition.

The application provides a new energy vehicle optimization online method, system, device and storage medium, which comprises the following steps: storing device number information into a basic configuration file of a T-Box terminal through a production test tool, sending the device number information to a new energy platform, adding an online number corresponding to the device number information in the device management of the new energy platform, judging whether the T-Box terminal can collect a vehicle identification code of a vehicle through CAN, if the T-Box terminal can collect the vehicle identification code through CAN, sending the vehicle identification code and the device number information to the new energy platform through a registration protocol, otherwise adding an on-board diagnostic instruction in the basic configuration file, the on-board diagnostic instruction containing frame number parameter information, reading the frame number parameter information in the on-board diagnostic instruction by the T-Box terminal, sending the vehicle identification code and the device number information to the new energy platform through the registration protocol, and performing vehicle online according to the vehicle identification code and the device number information by the new energy platform. The vehicle is automatically online on the new energy platform.

Device for quality assurance of the exhaust gas behavior in a motor vehicle with an internal combustion engine (1), comprising a control element (2) for specifying a desired drive torque (M) by the driver and comprising at least one electronic control unit (3): - an on-board diagnostic module (4) for performing an on-board diagnostic function for on-board diagnosis of the functionality of an exhaust-related component of the motor vehicle, - a memory module (5), - a control module (6) which is connected to the control element (2) for detecting the desired drive torque (M), to the on-board diagnostic module (4) for detecting the start of an on-board diagnostic function, to the storage module (5) and to the actuators of the internal combustion engine (1) for controlling the air mass (L) and the ignition (Z), and is designed such that the target air mass (L) corresponding to the desired drive torque (M) is stored when the on-board diagnostic function is started, and that if the desired drive torque (M) is reduced, this reduction is carried out by retarding the ignition (Z) while maintaining the stored target air mass (L), until the on-board diagnostic function is completed or aborted.

1. The name of the design product: plug protective cover. 2. The use of the design product: for the protection of the plug of the on-board diagnostic system. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

A computing system 8 internal to a motor vehicle 6 comprises a control circuit 10 configured to: operate an onboard diagnostic scanner 12 internal to the motor vehicle and obtain at least one diagnost

To provide a vehicle information processing device and a vehicle information processing program capable of processing information relating to a vehicle with a simple operation.SOLUTION: One aspect of the present invention is a vehicle information processing device including a control unit that combines a driving video captured while a vehicle is traveling with vehicle information acquired from the vehicle, the control unit has a function of controlling the storage of driving video in association with the shooting time, and storing vehicle information acquired using the vehicle's OBD (On Board Diagnostics) in association with the driving time, and a function of generating a composite video in which the driving video and the vehicle information are combined in a preset screen layout so that the time information of the shooting time and the driving time match each other.SELECTED DRAWING: Figure 14

The invention discloses a fault diagnosis method for a motor drive control system of an electric vehicle, and relates to the technical field of fault diagnosis, and the method comprises the steps: carrying out the global collection of real-time operation data, obtaining a global operation image, and constructing a three-dimensional operation model based on the global operation image; performing electrical and mechanical coupling relationship restoration on the three-dimensional operation model to obtain operation mechanism data; performing abnormal probability estimation on the motor driving control system based on the operation mechanism data and the global operation image to obtain fault probability data, and performing load impact energy increment calculation on the fault probability data to obtain abnormal impact energy data; according to the fault probability data and the abnormal impact energy data, carrying out local risk level assignment on the electric vehicle motor driving control system to form a local risk level map; and constructing a potential safety hazard identification optimization model, and sending the potential safety hazard identification optimization model to the vehicle-mounted diagnosis terminal. The method has the effect of improving the fault diagnosis efficiency.