424 results about "Vehicle bus" patented technology

The invention provides an intelligent network connection automobile abnormity detection system and method based on big data analysis, and the method comprises the steps: obtaining metadata in the communication between a vehicle CAN bus and a cloud, the metadata comprising a protocol type and a load feature, carrying out the analysis of the load feature according to the protocol type, and extracting a key field of a data package; constructing a load feature matrix according to the key field, and normalizing the heterogeneous data to obtain a feature data set in a uniform format; a mahalanobis distance algorithm is adopted to calculate the distance between each data point in the feature data set and a preset base line, and if the distance exceeds a preset threshold value, abnormal traffic is judged, and an abnormal traffic mark list is generated; fingerprint features of a transmission link are obtained from the 5G network slices, the fingerprint features of different slices are subjected to standardization processing, and a cross-slice consistent fingerprint feature data set is generated; therefore, security threats in a complex Internet of Vehicles environment can be effectively handled, and the accuracy and reliability of abnormal traffic detection are improved.

To surely prevent short circuit accompanied by contact of a metal bar with a metal structure in its periphery.SOLUTION: An on-vehicle bus bar 1 has a metal bar 10, a fireproof tape and an insulator layer 30. The one or two or more fireproof tapes are overlapped and wound around the metal bar 10, at least the one fireproof tape is longitudinally attached thereto and wound therearound, and the metal bar 10 and the fireproof tape are coated with the insulator layer 30.SELECTED DRAWING: Figure 1

The invention discloses a wiper motor health state early warning system based on big data, and particularly relates to the technical field of electrical equipment state monitoring and fault diagnosis, which comprises a data acquisition module, a state interface module, a data preprocessing module, a data analysis module, an early warning decision module and an early warning information output module, electrical parameters such as current, voltage, temperature and rotating speed are collected through a sensor, and a feature set is generated through preprocessing in combination with vehicle bus working condition data; comparing the real-time electrical characteristics with a pre-stored baseline model and a fault mode library, calculating a health score based on a mahalanobis distance algorithm, identifying a fault and predicting the life; and generating graded early warning according to a multi-level threshold strategy, and outputting the graded early warning through a vehicle-mounted interface and a remote monitoring center. According to the invention, early, accurate and predictive early warning of the health state of the motor is realized, and the accuracy of state evaluation and the reliability of the system are improved.

The invention discloses a duplex-screen intelligent cabin interaction method and system, and relates to the technical field of intelligent cabin interaction, and the method comprises the steps: collecting user operation behavior data, vehicle state data and environment perception data in real time through a vehicle-mounted sensor group, a man-machine interaction interface and a vehicle bus; establishing a multi-dimensional user data model containing an interaction feature vector, a driving mode matrix and a preference configuration tree; the method comprises the following steps: analyzing user historical interaction data based on an adaptive weighting algorithm, and calculating use frequency weight coefficients of different functional modules; according to the duplex-screen intelligent cockpit interaction method and system provided by the invention, the precision of a user portrait is remarkably improved by constructing a multi-dimensional user data model, personalized interaction experience is realized, and the interface layout and interaction logic can be dynamically adjusted according to a real-time driving scene by adopting a self-adaptive weighting algorithm and a random forest classifier, so that the user experience is improved. The real-time performance and the adaptability of the system are enhanced, and the interaction experience is optimized.

The invention relates to an intelligent control method, system and device for an automobile seat and a medium, and belongs to the field of automobile seat adjustment control. The intelligent control method comprises the steps that a control instruction data packet from a mobile terminal is received and converted into a vehicle CAN bus protocol data frame; analyzing an operation mode identifier in a vehicle CAN bus protocol data frame, and matching a corresponding target attitude parameter set; based on the real-time temperature data in the vehicle, dynamic compensation calculation is executed on the target attitude parameter set, and an after-compensation execution instruction set is generated; a motor control signal is sent to a seat executing mechanism; calculating a deviation value between the feedback signal data and the compensated execution instruction set, and if any deviation value exceeds a preset deviation threshold value, generating a mechanism calibration instruction; and acquiring final execution state data of the seat execution mechanism, and feeding back the final execution state data to the mobile terminal. Intelligent seat adjustment based on real-time feedback can be achieved, and it is ensured that a driver obtains the best comfortable experience in different scenes.

The embodiment of the invention provides a data processing method and device of a vehicle bus and a vehicle, which are applied to the field of vehicle communication, and the method comprises the steps: obtaining first mask information sent by a control center, responding to a trigger event, determining to-be-sent first plaintext communication data, encrypting the first plaintext communication data according to the first mask information, and sending the encrypted first plaintext communication data to the control center. According to the method, the first ciphertext communication data is obtained, the first ciphertext communication data is inserted into the first plaintext communication data to obtain the target communication data, and the target communication data is transmitted to the second vehicle controller through the vehicle bus, so that the secure transmission of the communication data between the vehicle controllers is ensured.

The invention provides a vehicle bus fault recording method and device, equipment and a storage medium. The method comprises the steps that after the ECU is awakened, an awakening record message can be sent to a main domain control node of the ECU according to a preset period, and when it is detected that a vehicle dormancy fault detection condition is met, the main domain control node receives the awakening record message sent by at least one ECU controlled by the main domain control node and stores the awakening record message of the at least one ECU into a storage of a vehicle. When abnormal power shortage occurs in the vehicle, a problem checking worker can find the specific wake-up reason of the vehicle through the wake-up record message, so that the efficiency of solving the power shortage problem of the vehicle is improved.

The invention discloses a generation method, device and equipment of an automobile gateway test project and a storage medium, and relates to the technical field of automatic testing of vehicle-mounted electronic controllers, and the generation method of the automobile gateway test project comprises the steps: obtaining a gateway function demand template document; according to the gateway function requirement template document, function calling and test environment configuration in an automobile bus communication matrix file and a gateway function test function library file are generated; integrating the function calls to form an entry file of an automatic test main program; and forming a test project according to the automobile bus communication matrix file, the entry file and the test environment configuration. According to the method and the device, an automatic test project can be generated, the test project can simulate an actual vehicle communication scene and verify whether the gateway can correctly process and forward the message according to a predetermined function requirement, so that test omission is avoided, the test efficiency is improved, and the reliability and the effectiveness of a test result are ensured.

The invention relates to a vehicle bus simulation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a simulation vehicle communication protocol, carrying out the analysis of the simulation vehicle communication protocol, obtaining protocol analysis data, carrying out the integrity verification of the protocol analysis data, and carrying out the verification of the integrity of the protocol analysis data under the condition that the protocol analysis data is complete. Generating a protocol complete message; performing link simulation on the simulation vehicle communication protocol according to the protocol complete message, setting simulation conditions and generating simulation data corresponding to the simulation vehicle communication protocol, executing a high-load test and a random data transmission test, and obtaining a test result; and performing connectivity analysis on the vehicle communication protocol according to a test result, and generating a corresponding link test report according to an analysis result. The method has the effect of improving the protocol simulation efficiency.

The invention discloses a vehicle blind area dynamic enhancement and warning system for a low-light environment, and relates to the technical field of automobile active safety, and the system comprises a short wave infrared imaging module which is used for capturing a passive thermal feature image of a scene behind the side of a vehicle; the multi-source signal acquisition module is used for acquiring a vehicle bus signal representing a vehicle motion state and an operation intention of a driver in real time; the data processing and risk assessment module is connected with the short wave infrared imaging module and the multi-source signal acquisition module, and is used for performing fusion processing on the thermal feature image and the vehicle bus signal, identifying a blind area target and calculating a dynamic risk level of the blind area target; the grading warning and intervention module is connected with the data processing and risk assessment module; the short-wave infrared imaging technology which is sensitive to night light and high in anti-interference capacity is adopted, the imaging problem under extremely low illumination is fundamentally solved, and stable detection of vehicles and pedestrians in a long distance in a completely light-source-free environment is achieved.

The invention discloses a method and device for remotely acquiring vehicle data and a storage medium, and belongs to the technical field of vehicle data acquisition, and the method comprises the steps: collecting the data of each channel in a whole vehicle bus network in real time through a vehicle-mounted communication controller, storing the data as a file, and when a serious fault is detected, sending the data to the vehicle-mounted communication controller; independently storing the whole vehicle data in a preset time period before and after the fault as a file, wherein a file name comprises data acquisition starting time and a corresponding fault code; uploading a file meeting the time period requirement according to an instruction of the remote communication platform; an input instruction of an operator is received through the remote communication platform, a file retrieval instruction is sent to the vehicle-mounted communication controller, an uploaded data file is received and stored, and a data file downloading service is provided; the method can screen the historical data of the vehicle through time, and solves a problem that a fault is difficult to reproduce.

The invention belongs to the technical field of vehicle time sequence operation and maintenance data, and particularly relates to a vehicle time sequence operation and maintenance data online compression and storage system and method, and the system comprises an operation and maintenance data collection module which is used for collecting operation and maintenance data on a vehicle bus; the operation and maintenance data analysis module is used for performing effective data field extraction on the acquired operation and maintenance data according to a bus protocol, analyzing the operation and maintenance data according to coefficient and offset requirements, and realizing actual physical quantity characterization of the operation and maintenance data; the operation and maintenance data classification processing module is used for classifying the operation and maintenance data according to data characteristics; the operation and maintenance data compression module is used for selecting a data compression algorithm according to the data type and performing compression processing on the classified operation and maintenance data; and the operation and maintenance data storage module is used for establishing a vehicle number-bus node-physical system-physical quantity four-layer data hierarchical structure according to a vehicle operation and maintenance data bus structure, and writing the compressed operation and maintenance data into an embedded time sequence database.

The invention is suitable for the technical field of vehicle diagnosis, and provides a remote diagnosis method and system of a vehicle, a storage medium and electronic equipment. The remote diagnosis method of the vehicle comprises the steps of obtaining vehicle bus data of the vehicle; based on a target prediction model obtained through pre-training, the adaptation probability of the vehicle bus data and the multiple alternative bus configuration files is determined, the target prediction model is obtained by training an initial neural network model based on multiple pieces of historical vehicle diagnosis data, and each piece of historical vehicle diagnosis data comprises the historical vehicle bus data and the multiple alternative bus configuration files; the bus configuration file is matched with the historical vehicle bus data; determining a target configuration file adapted to the vehicle bus data in the plurality of alternative bus configuration files according to the adaptation probability of the vehicle bus data and the plurality of alternative bus configuration files; and performing remote diagnosis on the vehicle according to the target configuration file. The technical problem that an existing vehicle remote diagnosis method is inaccurate in configuration file adaptation is solved.

The present application belongs to the technical field of vehicle mass online estimation, in particular to a vehicle mass online estimation method based on fuzzy logic and weighted least square method, comprising the following steps: 1) obtaining longitudinal acceleration sensor measurement value signal, longitudinal speed signal, engine output torque signal, gear signal, throttle opening signal, brake pedal signal and steering wheel angle signal from vehicle CAN bus; 2) correcting the measurement value of longitudinal acceleration sensor; 3) calculating equivalent driving force and equivalent acceleration; 4) calculating working condition fitness degree by using fuzzy logic algorithm; 5) estimating vehicle mass by using weighted least square method; and 6) suspending and starting vehicle mass estimation. The structure is reasonable, and the accuracy and working condition adaptability of vehicle mass online estimation can be improved during use.

The invention relates to the technical field of internet-of-things automobiles, in particular to an automobile data collecting and processing method which comprises the steps that an internet-of-things module is loaded behind a vehicle standard OBD diagnosis port, a vehicle bus data flow is collected and uploaded to a cloud background, and according to all scene requirements in the whole life cycle of a vehicle, the internet-of-things module is connected with the internet-of-things module; and calling an algorithm model to analyze, analyze and process the Internet of Vehicles data flow, actively developing user demands, analyzing user intentions to adjust data weights, and completing data interaction with a user side. According to the automobile data collecting and processing method, the control logic and the AI algorithm are fused, the threshold value judgment rule of a power assembly and a new energy electric drive assembly system is improved, the strong nonlinear fitting capability of XGBoost is combined, the real-time performance and reliability of automobile condition monitoring are improved, XGBoost-Boruta mixed feature screening is adopted, and the real-time performance and reliability of automobile condition monitoring are improved. Compared with a traditional Dropout method, the model interpretation and generalization ability are improved, a feature selection optimization strategy is achieved, and dynamic updating of a data acquisition model of a departure end under a background and millisecond-level response of background calculation are supported through incremental training and a low-delay architecture and based on a distributed data acquisition and calculation framework of the high-speed Internet of Things.

Gateway software is initialized responsive to receipt of a data frame to a first vehicle bus of a plurality of vehicle buses, the data frame configured to be routed to a second vehicle bus of the plurality of vehicle buses. During completion of the initialization of the gateway software, a WUP generator is used to send a WUP along the second vehicle bus. Responsive to the completion of the initialization of the gateway software, the gateway software is used to route the data frame over the second vehicle bus.

An electronic device in a vehicle includes at least one interface to a vehicle bus, at least one processor, and at least one memory including program code. The program code causes the electronic device to configure the interface to communicate with a controller in the vehicle over a transport protocol. The program code causes the electronic device to be accessible to the controller over the interface as a block device. The program code causes the electronic device to, upon receiving, from the controller, a request to access the block device over the transport protocol, read data from the block device and transmit, to the controller, the data over the transport protocol.

The invention discloses a non-contact automobile tail door anti-pinch method based on millimeter-wave radar, which is characterized in that a millimeter-wave radar array, an embedded control unit and a fusion self-adaptive energy judgment threshold and motion track continuity detection module are adopted; the intelligent tail door anti-pinch system is composed of a digital signal processing link based on radio frequency direct acquisition and a tail door state machine information system obtained based on a vehicle bus, whether a human body or an obstacle exists in the area below the tail door or not is monitored in real time after the tail door is opened, if a target exists, the tail door is forbidden to be closed, and in the vehicle door closing process, the vehicle door is prevented from being closed. And if a target is monitored to enter the monitoring range, a high level is immediately output to open the tail gate. Compared with the prior art, the method has the anti-interference detection capability, can accurately identify the closing path of the tail door, can stably operate in a strong light environment and a weak light environment, realizes emergency braking and back-off after the tail door is blocked, provides a solution with high cost performance for the intelligent automobile electric tail door, and has a good application prospect.

The invention belongs to the technical field of vehicle control, and particularly relates to a high-speed scene automatic driving performance analysis method and system for a heavy-duty commercial vehicle, and the method comprises the steps: synchronously collecting the current positioning data, camera image data, vehicle bus signals and inertial navigation data of the heavy-duty commercial vehicle in an automatic driving process in a high-speed scene; generating a transverse track, a longitudinal track and an oil consumption time sequence data set which are in space-time alignment based on the collected data; a three-in-one evaluation system of transverse safety, longitudinal response and fuel economy is constructed by calculating transverse safety margin and lane centering stability in the step S2, calculating longitudinal response delay and aging deviation in the step S3 and fuel consumption deviation per hundred kilometers in the step S4. And each dimension is quantified through a clear formula, so that the evaluation result is traceable and reproducible, and the comprehensive performance of the automatic driving system in a high-speed scene is comprehensively reflected.

The invention provides a power battery voltage configuration method and device, a vehicle and a storage medium, and the method comprises the steps: executing a voltage configuration message information sending step when the power-on of a whole vehicle is completed; wherein the step of sending the voltage configuration message information comprises the following steps of: acquiring a sampling voltage of a bus of a whole vehicle; judging a voltage platform corresponding to the power battery according to the whole vehicle bus sampling voltage, and obtaining a voltage configuration message corresponding to the voltage platform; voltage configuration message information is sent to a vehicle control unit and a high-voltage controller according to the obtained voltage configuration message; wherein the high-voltage controller is used for completing control program configuration according to voltage configuration message information and then controlling different load motors; when first message confirmation information sent by the vehicle control unit and second message confirmation information sent by the high-voltage controller are received at the same time, power battery voltage configuration success information is sent to the vehicle control unit. The control matching efficiency of the power battery voltage and the controller of the electric vehicle can be improved.

The invention discloses a vehicle can bus fault monitoring method, system and device, and belongs to the technical field of vehicles. The monitoring method comprises the following steps: acquiring current message data of a can bus of a target vehicle in real time and recording the current message data; calling and analyzing the historical message data to obtain abnormal message data; and selecting the abnormal message data for playback to obtain vehicle problem data. After the current message data of the can bus of the target vehicle is acquired and recorded and the historical message data is called and analyzed, the abnormal message data can be found and played back, so that the vehicle problem occurrence environment can be reproduced, the problem can be solved, meanwhile, the possible cause of the problem can be checked fundamentally, and the problem can be effectively solved. And the problem that accidental problems are difficult to reproduce is solved.

The invention discloses a vehicle door unlocking method for a new energy vehicle, which comprises the following steps: acquiring a vehicle hard wire signal sent by a safety airbag system of a target vehicle through a vehicle hard wire of the target vehicle and a vehicle bus signal sent by the safety airbag system through a vehicle bus of the target vehicle, the vehicle collision state of the target vehicle is determined according to the vehicle hard wire signal and the vehicle bus signal, and the vehicle collision state comprises a collided state and a non-collided state; and when the current vehicle state is the collided state, the automatic collision unlocking operation is triggered to unlock the at least one vehicle door lock of the target vehicle, so that the accuracy of vehicle collision unlocking recognition can be improved, and the driving safety of a user is improved.

The invention discloses an intelligent management system and method for a vehicle-mounted air conditioner, and relates to the technical field of vehicle environment control systems.The system comprises a multi-mode environment sensing module, a passenger thermal comfort degree dynamic evaluation module, a thermal load prediction and energy efficiency optimization module, an intelligent actuator cooperative control module and a central processing and data fusion unit; the method comprises the following steps: acquiring environment and physiological data through a multi-source sensor; a deep neural network model is utilized to classify and recognize the thermal sensation state of the passenger, and a unified dynamic comfort index is generated; combining vehicle bus data and navigation information to predict a future cabin thermal load, and constructing a multi-target optimization problem with energy consumption minimization as a target; solving an optimization problem to generate an optimal control strategy combination; and an actuator is driven to cooperatively act through a closed-loop control algorithm. The method improves the recognition precision of the real thermal feeling of the passengers, reduces the energy waste, optimizes the comfort and energy efficiency in a collaborative manner, and reduces the average operation power consumption of the air conditioning system by more than 15%.

The embodiment of the invention provides a brake control system of a novel rail train and the novel rail train. The brake control system comprises two EBCUs which are respectively arranged on a head train and a tail train of the novel rail train and are respectively connected with a vehicle CAN bus of the novel rail train through an internal CAN1 network; the plurality of ABSs are respectively arranged at the positions of the novel rail train, and each ABS is connected with the vehicle CAN bus of the novel rail train through an internal CAN1 network; the plurality of single-channel bridge control modules are respectively arranged at each axle of the novel rail train, and each single-channel bridge control module is respectively connected to the internal CAN2 network; and the multiple parking EPB valves are used for being arranged on all the trains of the novel rail train correspondingly, and all the parking EPB valves are connected to the internal CAN2 network correspondingly. The technical problem that a braking system of a traditional commercial vehicle is not suitable for a novel rail train is solved.

The invention provides an automobile bus safety detection system and method based on a commercial password technology. The system comprises a bus data acquisition module, a configuration temperature compensation crystal oscillator and a double DDR4 buffer pool; the protocol analysis engine is used for integrating a predefined analyzer and a BiLSTM-based custom protocol recognition model; the cryptographic protocol identification module is used for monitoring and identifying a cryptographic protocol through the protocol characteristic matrix and the Shannon entropy; the password compliance detection module is used for loading a national password GM / T standard library to execute algorithm identifier verification; the key security analysis module is used for implementing key entropy grading detection and life cycle analysis; the simulation attack module is used for dynamically adjusting an attack strategy according to the environmental risk factors; and the auditing and reporting module generates a visual compliance report. According to the method, automatic security detection of automobile bus password communication is realized through seven steps of data acquisition, protocol analysis, password identification, compliance detection, key analysis, attack simulation and report generation, and the problem that a traditional tool cannot detect password compliance and key security is solved.

The invention relates to a user interface generation system, method, equipment and product for vehicle bus development, and relates to the technical field of information processing. The system comprises a panel compiling module used for compiling editable panel style information into a dynamic link library file; the main interface module is used for importing the dynamic link library file into a bus development tool and generating a main interface containing the panel style information; the middle module is used for receiving a calling instruction which is sent by a user through the main interface and is used for calling the middle module to generate an auxiliary interface, and generating the auxiliary interface containing the panel style information and other panel components according to the calling instruction and a configuration file of the user interface; the main interface and the auxiliary interface jointly form the user interface. According to the method and the device, the development efficiency and expansibility of the panel component and the user interface in the bus development tool can be improved.

The invention relates to a method, system and device for uploading data after a whole vehicle is awakened, and the method comprises the steps: collecting vehicle bus data after a microcontroller is awakened from a dormant state, and caching the vehicle bus data to a memory; after the microcontroller detects that the system-on-chip is awakened from the dormant state, the vehicle bus data in the memory are sent to the system-on-chip through a gateway, and the awakening duration of the system-on-chip is longer than that of the microcontroller. The integrity of the recorded data of the system-on-chip at the initial stage of vehicle wakeup is ensured.

Provided in the present application are a method and apparatus for recording a vehicle bus fault, and a device and a storage medium. The method comprises: after an ECU is woken up, sending a wake-up record message to a master-domain control node of the ECU on the basis of a preset period; when it is detected that a vehicle sleep fault detection condition is met, the master-domain control node receiving the wake-up record message sent by at least one ECU under control; and storing the wake-up record message of the at least one ECU in a memory of a vehicle. When abnormal battery depletion occurs in a vehicle, a troubleshooter can find a specific wake-up cause of the vehicle by means of a wake-up record message, thereby improving the efficiency of solving the battery depletion problem of the vehicle.

The invention provides an intelligent vehicle control device, system and method, the device comprises an image processing unit, a wireless communication unit and a fusion processing unit, the units perform data interaction through a system bus, and the image processing unit and the fusion processing unit are connected with a vehicle bus through independent bus interfaces; the image processing unit is used for acquiring and processing data acquired by the intelligent sensor and performing data interaction with the fusion processing unit; the wireless communication unit is used for realizing wireless communication between the device and external equipment and uploading the acquired information to the fusion processing unit through a system bus; and the fusion processing unit is used for carrying out fusion processing on the acquired image processing unit data, the acquired wireless communication unit data and the acquired vehicle data so as to obtain a vehicle control instruction. The system has good expansibility and flexibility, data interaction is achieved through the system bus, and the reliability and safety of the system are improved.

The invention discloses an MVB communication fault diagnosis system based on MVB online monitoring, and relates to the technical field of communication network fault diagnosis, the MVB communication fault diagnosis system comprises an isolation partition module, a data acquisition module, a relation analysis module, a fault diagnosis analysis module, a fault positioning module, a fault alarm recording module and a fault processing suggestion module, wherein the modules are connected through electric signals; and the isolation partition module is used for dividing the MVB network into a plurality of logic regions. By monitoring the data flow, the signal quality and the communication state on the vehicle bus, communication faults are found and positioned in real time, the communication state is fed back in real time, once abnormity is detected, an alarm is given out immediately, and the fault diagnosis process is started automatically, so that safety accidents caused by the communication faults are effectively prevented, the accuracy of fault diagnosis is ensured, and the working efficiency is improved. False alarm and missing alarm are reduced, reliable fault information is provided for maintenance personnel, and measures can be taken quickly.