63 results about "On-board diagnostics" patented technology

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 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.

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.

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.

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.

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

The invention is suitable for the technical field of automotive electronics, provides a vehicle-mounted diagnosis security access method and system based on heterogeneous computing power transfer, and aims to solve the problems of timeout, blocking real-time control and the like when a low-computing-power edge node executes high-strength asymmetric signature verification. The system is composed of a service interaction layer, a security routing layer, a core computing power layer and a board-level high-speed link. The method comprises the following steps: a target edge node receives a diagnosis request, requests a 32-byte challenge value from a gateway and feeds back the challenge value; after a 64-byte ECDSA signature is received, NRC 0x78 is sent, and data are packaged to initiate computing power transfer; the gateway converts the protocol and transmits the protocol to the SoC; the SoC executes signature verification based on the NIST P-256 and feeds back a result; and the target edge node unlocks the authority. According to the method, edge hardware does not need to be upgraded, the UN R155 compliance requirement is met at low cost, and diagnosis efficiency and vehicle real-time control safety are guaranteed.

A vehicle includes at least one input device adapted to be operated by a user to control at least one driving function of the vehicle, and an onboard diagnostic port adapted to be engaged with a dongle. The vehicle also includes a controller configured to detect the engagement of the dongle with the onboard diagnostic port, and activate a game mode of the vehicle upon detection of the engagement of the dongle with the port. The controller is further configured to disable an ignition of the vehicle in response to the activation of the game mode, and associate the at least one input device with at least one control function of a game to be played using a virtual reality headset. The control function of the game being played on the virtual reality headset is controlled in response to the actuation of the input device.

According to the OBD data quality control method and device based on the field difference, a first field used for calculating emission rate information in OBD data is distinguished, and the accuracy of calculating the OBD data used for the emission rate information is ensured based on validity judgment of the first field; the OBD data with all effective first fields are used as the OBD data for determining the emission rate information, the situation that the OBD data with all effective first fields are deleted due to the fact that the second fields are invalid is reduced, the data volume of the OBD data for determining the emission rate information is increased, and the emission rate information can be determined by increasing the data volume of the OBD data for determining the emission rate information. The accuracy of the determined emission rate information is improved; in view that the vehicle emission factor is determined based on the emission rate information, a data basis is provided for improving the accuracy of the vehicle emission factor based on the improvement of the accuracy of the emission rate information, and a data support is provided for improving the quality of vehicle emission level evaluation.

The invention relates to the technical field of automobile fault diagnosis, and discloses an automobile fault offline diagnosis method based on multi-sensor data fusion, which comprises the following steps of: 1, connecting a vehicle-mounted diagnosis instrument with an automobile diagnosis port, reading an automobile fault code, and determining an engine fault instruction; 2, deploying various sensors in an engine compartment according to the fault instruction, and setting a sampling frequency to obtain various data in the engine compartment in the running process of the vehicle; and step 3, preprocessing the acquired data, identifying abnormal data in the acquired data, rejecting the abnormal data, and performing data supplementation on a data vacancy after data rejection. According to an initial fault instruction read by a vehicle-mounted diagnostic instrument, multiple types of sensors are deployed in a vehicle engine to collect data, a dynamic threshold interval is constructed to recognize abnormal data of the sensors, and the abnormal data of the sensors are removed.

A malfunction of an on-board diagnostic (OBD) controller system is diagnosed by comparing a voltage of an input part of an OBD controller with a voltage of a battery. The OBD controller is connected to the battery through a communication line in a hybrid electric vehicle (HEV). When an input voltage measuring circuit or the controller is malfunctioning, the malfunction is diagnosed.

A diagnostic system and technique for a machine (e.g. an industrial machine) to detect, identify, and resolve faults and issues with the machine, including connectivity and / or issues with a communications system. An on-board diagnostic system provides monitoring of machine components and / or the machine's communications system. The on-board system provides faster (e.g. real-time) and more accurate diagnostics and troubleshooting of machine issues. Captured data is communicated to a remote system for further analysis based on machine learning.

Embodiments of the present application disclose a vehicle diagnosis method and related equipment, which are used for vehicle diagnosis in the case of improving the convenience of vehicle diagnosis. The method comprises the following steps: obtaining application information for closing vehicle on-board diagnosis authentication sent by a diagnosis equipment, the application information comprising various application parameters; if it is verified that the various application parameters meet a preset legality standard, the legality of the vehicle and the diagnosis equipment is determined by manually auditing the various application parameters; after the manual audit is passed, an authorization file for closing the on-board diagnosis authentication is generated based on the various application parameters, the authorization file is sent to the diagnosis equipment, so that the diagnosis equipment sends the authorization file to a corresponding vehicle ECU, and the vehicle ECU executes the operation of closing the on-board diagnosis authentication in the authorization file after verifying that the authorization file is legal.

This invention discloses a method, apparatus, device, and vehicle for data recovery in a controller area network (CAN), relating to the field of CAN communication technology. By establishing a multi-level recovery mechanism based on the number of transmission failures, different levels of recovery operations are matched according to different threshold ranges of the failure count when data transmission fails, avoiding continuous occupation of central processing unit resources due to waiting for bus arbitration. When the failure count is in the first threshold range, data retransmission is performed; when it is in the second threshold range, the local CAN module is reset; and when it is in the third threshold range, a system-level reset is performed. This mechanism forms a progressive self-healing capability from the communication layer, driver layer, to the system layer, solving the problem of prolonged data recovery being stuck due to bus arbitration failure. It is suitable for vehicle diagnostic scenarios, improving data reporting success rate and system reliability.

The invention provides a diagnosis system and method of a whole vehicle electronic control unit and electronic equipment, the system is installed on target electronic equipment, the IP address of the target electronic equipment is the IP address of a diagnostic instrument defined in a vehicle-mounted network specification, the target electronic equipment comprises an interface module, and the interface module is used for connecting a vehicle-mounted diagnosis system of a tested vehicle; the system comprises a front-end display module, a communication module and a communication diagnosis module, the communication diagnosis module diagnoses the whole vehicle electronic control unit based on a preset communication protocol. According to the invention, the problems of large equipment size, heavy weight and untimely software adaptation in the prior art can be improved.

The utility model discloses a function verification device for an electric control unit of a marine engine. The function verification device comprises a power supply unit, a power supply switch, a T15 switch, a starting switch, a neutral gear switch, an electric control unit joint, an instrument joint, an OBD joint and a prompt unit. During actual use, the electric control unit connector is connected with an electric control unit, the instrument connector is connected with an instrument, the OBD connector is connected with a vehicle-mounted diagnostic system, the power switch, the T15 switch, the starting switch and / or the neutral gear switch are closed according to verification requirements, and the electric control unit operates after receiving signals through the electric control unit connector. The engine electronic control unit outputs corresponding electric signals to the electric control unit connector, the electric control unit connector transmits the corresponding signals to the prompting unit, and the prompting unit gives out corresponding prompts to indicate verification results of the starting function and the pre-oil-supply function of the engine electronic control unit. Therefore, the engine electronic control unit function verification device can verify the function of the engine electronic control unit, and is simple to operate, simple in structure, low in cost and easy to implement.

The application provides a transient working condition multi-parameter collaborative calibration method and system of a hybrid internal combustion engine, and the method comprises the following steps: acquiring a data stream in an on-board diagnostic system, and screening feature information of seven key dimensions from the data stream; creating a gene map matching engine, and inputting the feature information of the seven key dimensions into the gene map matching engine; comparing the feature information of the seven key dimensions with pre-stored working conditions in the gene map matching engine, obtaining an optimal working condition, and outputting a corresponding basic parameter package; combining knock energy spectrum characteristics and oxygen sensor offset, and performing matrix operation to optimize the basic parameter package, and obtaining a corrected parameter package; and performing boundary control on an ignition angle based on operating parameters of the internal combustion engine, and using the boundary-controlled ignition angle to constrain the ignition angle in the operation process of the internal combustion engine. The application can dynamically correct each parameter of the internal combustion engine.

The invention is based on the objective of creating a diagnostic tool by comparing algorithmic computational signals with sensor measurement signals to determine faults by calculating the difference. Furthermore, a method and arrangement for an active on-board diagnostic device are to be provided that, in the event of malfunctions in faulty components, switches off faulty measurement and control signals and replaces them with algorithmic computational values, thus enabling uninterrupted operation until maintenance can be carried out. Simultaneously, fault information is to be generated. The active diagnostic device consists of four sections: the sensor measurement circuits, the active diagnostic computer circuit, the control functions section, and the fault information section. The sensor measurement circuit includes sensors (1), signal converters (2), cable connectors (3), and adapters (4). The active diagnostic computer circuit includes adapters (5), a multiplexer (6), a diagnostic computer (7) with a diagnostic algorithm memory (8), a diagnostic comparison computer (9) with a computational signal adapter (12) connected to a switching register (11), and a switching control computer (10) with a computational signal adapter (12). The control functions section comprises a control unit (14), signal amplifiers (16), actuators (17), and control elements (18). The fault information section includes an information signal adapter (19), a synchronization switching module (20), a microcontroller (21), and a display (22).

The present invention relates to a method for determining the operating state of a battery (104) of an at least partially electrified vehicle (100), comprising: obtaining on-board diagnostic measurement data (OBD measurement data) of the vehicle (100) via a first communication interface (20), wherein the OBD measurement data are generated during an electrically excited state of the battery (104); evaluating the OBD measurement data to generate a parameter data set for at least one operating parameter of the battery (104); and determining a state indicator of the battery (104) from the parameter data set, wherein the state indicator characterizes an operating state of the battery (104). The present invention further relates to a control system (10) for carrying out the method and to an at least partially electrified vehicle (100) with such a control system (10).

The invention provides a vehicle-mounted diagnostic data acquisition method, a vehicle and a storage medium, the method is applied to the technical field of intelligent network connection vehicles, and the method comprises the following steps: in response to a diagnostic data acquisition instruction, determining a data acquisition dimension and a data acquisition time period; based on the data acquisition dimension, acquiring target diagnosis data according to the data acquisition time period; and identifying privacy data in the target diagnosis data, and performing fuzzification processing on the privacy data to obtain final diagnosis data. Therefore, according to the method, the acquisition range (dimension and time) can be planned in advance before data acquisition, and privacy filtering is executed after data acquisition, so that the problems of blind and incomplete data acquisition and weak privacy protection in vehicle-mounted diagnosis in related technologies are solved, and accuracy, high efficiency and compliance security of diagnosis data acquisition are realized.

The invention discloses a commercial vehicle dynamic diagnosis method, system and device and a storage medium, relates to the technical field of vehicle electronic diagnosis, and can solve the problems of high production line upgrading cost, after-sales function lag and long development iteration period caused by protocol solidification in the commercial vehicle diagnosis process in the prior art. Comprising the steps that a cloud platform hierarchically constructs a diagnosis protocol into a platform configuration layer, a function instruction building layer and a script logic layer according to diagnosis function characteristics of an ECU, generates an encrypted diagnosis protocol library, pushes the encrypted diagnosis protocol library to a diagnosis instrument APP for decryption and analysis, generates a diagnosis instruction, and sends the diagnosis instruction to a whole vehicle through a VCI; the VCI forwards the diagnosis instruction to a vehicle-mounted diagnosis interface of the whole vehicle, communicates with the target ECU, obtains response data and returns the response data to the diagnosis instrument APP; and the diagnostic instrument APP processes the response data and feeds back a diagnosis result according to a configuration rule of the platform configuration layer, an instruction sequence of the function instruction building layer or a script program of the script logic layer. The method is used for dynamic diagnosis of the commercial vehicle.

In various embodiments, adaptive diagnostic message routing is provided. An HPC platform onboard a vehicle may comprise a unified diagnostic gateway that can process and route diagnostic messages between diagnostic clients that access a vehicle's diagnostic systems and the onboard resources (whether legacy ECU hardware devices or HPC ECU nodes) that provide diagnostics-related data. The adaptive HPC diagnostic message routing may be performed at least in part based on the protocol by which the diagnostic client makes its query to the unified diagnostic gateway, and / or the onboard destination resource to which the query is directed (e.g., the class of ECU (legacy or HPC)) providing the response data). Advantageously, the embodiments for adaptive diagnostic message routing described herein provide for intelligent routing of diagnostic information on HPC vehicles to support onboard diagnostic activities using either legacy or SOVD protocol diagnostic tools.

The object of the invention is to create a system for increasing the utilization of transport vehicles (10). This is achieved through a method (100) for determining a payload capacity, a corresponding computer program, and a transport vehicle (10) equipped to carry out the method (100). Within the framework of the method (100) for determining the payload capacity, an effective payload capacity is determined, which takes into account both the mass-related and volume-related utilization. The volume-related utilization is determined using at least one ToF sensor (16), while the mass-related utilization is determined based on OBD data and a previously derived correlation. In a further development of the method (100), the data obtained are used to generate predictions regarding routes and times with available payload capacities.The predictions can, in turn, benefit a large number of users by leading to the advantageous design of transport logistics processes.

To provide a suitable on-vehicle diagnostic port synchronous battery charging system.SOLUTION: The charging system includes an interface configured to removably and electrically couple to an external battery, a connector configured to removably and electrically couple to an on-board diagnostic (OBD) port of a vehicle, charge management circuitry electrically coupled to the interface and the connector, and a microcontroller unit (MCU) coupled to the charge management circuitry. The MCU is configured to execute computer-readable program code for managing an output of electrical current from the external battery to a vehicle battery of the vehicle through the electrical coupling of the connector and the OBD port. The charging system may be used to prevent the vehicle battery from being discharged during long periods of storage.SELECTED DRAWING: Figure 1

The invention discloses a method and a system for realizing configurable engine OBD (On-Board Diagnostic) data flow, comprising the following steps: acquiring a configured ECU (Electronic Control Unit), including receiving a configuration instruction and a data flow configuration table by the ECU, and taking the data flow configuration table as a first data flow configuration table; the ECU analyzes the first data flow configuration table, and performs security verification and validity verification on the first data flow configuration table; if both the security verification and the validity verification are passed, the ECU stores the first data flow configuration table into a first storage area in an NVM, the first data flow configuration table takes effect, and a first effective data flow configuration table and a configured ECU are obtained; using the configured ECU to carry out on-board diagnosis, comprising the following steps: receiving an OBD request message by the configured ECU; after configuration, the ECU generates response data according to the demand of the OBD request message; and after configuration, the ECU sends response data to the OBD request message.

This invention discloses a vehicle fuel consumption analysis and early warning system and method based on vehicle-cloud data fusion, relating to the field of intelligent connected vehicle operating status monitoring and fuel consumption early warning technology. The system includes a vehicle-side terminal and a cloud terminal connected by communication. The vehicle-side terminal collects on-board diagnostic data and inertial measurement data, extracts flat-road constant speed segment data after preprocessing, and forms data packets standardized according to 100 km / h, which are then uploaded to the cloud. The cloud terminal determines the validity of the data based on speed interval matching degree, generates segment confidence scores, updates the hierarchical benchmark, and calculates the linear regression slope, deviation value, and comprehensive anomaly score of fuel consumption change based on the fuel consumption values ​​per 100 km / h for each speed interval within a continuous statistical period. It then determines the anomaly type and whether it is a persistent or sudden anomaly, and further identifies candidate fault modules by combining auxiliary operating condition characteristics and maintenance manual rules. The system and method of this invention can improve the stability, comparability, and early warning reliability of fuel consumption analysis results.

An augmented reality (AR) vehicle diagnostic and repair system integrates onboard diagnostic (OBD) data with cloud computing to assist users in identifying and resolving vehicle issues. The system includes vehicle sensors, an OBD scanner, and a mobile device that serves as a user interface. Using AR, overlays provide real-time guidance onto the physical environment for diagnosing and repairing vehicle components. The system identifies vehicles via data from the Vehicle Communication Interface (VCI) port, including the Vehicle Identification Number (VIN). A cloud server stores detailed vehicle-specific information, including 3D models, wiring diagrams, and Diagnostic Trouble Codes (DTCs) with associated repair instructions. The system supports remote diagnostics and real-time interaction with professional mechanics. Artificial intelligence (AI) and machine learning (ML) enhance the database, ensuring accurate AR guidance tailored to each vehicle. This system simplifies complex vehicle repairs, making them more accessible to users with limited technical expertise.

This invention relates to the field of ECU management technology, and discloses an ECU boot dynamic self-healing system, method, and device based on vehicle diagnostic communication protocols and physical sensing. The key technical features include a microcontroller, non-volatile memory, a memory protection unit, and a power supply voltage detection unit. The microcontroller runs a boot protection module, a logic evolution module, a dynamic driving unit, and a snapshot management and power-down hardening unit. The boot protection module is used for power-on priority startup, reading snapshot status, performing fault self-healing, and resuming interrupted data transfer. The logic evolution module is used to execute the main business of the bootloader program. The dynamic driving unit is loaded into the running memory and used to perform erase / write operations on the updatable boot area, updating the snapshot information in the running memory in real time during the flashing process. The power supply voltage detection unit is used to trigger power-down processing. The snapshot management and power-down hardening unit is used to respond to power-down signals and write snapshot information to the snapshot storage area.