259 results about "Vehicle bus" patented technology

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 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 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 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 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 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 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 discloses an immersive off-road mode switching mode, and relates to the field of vehicle electronic technology and intelligent cabin man-machine interaction, and the method comprises the steps: responding to a switching instruction, and controlling a virtual camera to move towards an off-road scene along a planned path while preloading resources. The system divides a control state according to a transition progress: in a pre-interaction state that resources are ready but transition is not completed, the off-road instrument assembly is controlled to fade in display and open input, a user pre-operation instruction is temporarily stored in an instruction buffer queue through de-duplication logic, and a physical signal is temporarily not issued through a vehicle bus interface; and when the transition time is over and a fully activated state is entered, the queue is locked, and an instruction is converted into a standard protocol data unit to be sent to a chassis electronic control unit. Through the staged state machine and instruction buffer logic, three-dimensional visual rendering and a bottom layer control time sequence are decoupled, and continuity of interactive operation and deterministic transmission of a control instruction are realized while scene switching smoothness is ensured.

The invention discloses an automobile intelligent diagnosis method based on a knowledge-enhanced large language model, and the method is characterized in that the method comprises the following steps: S1, vehicle data collection and preprocessing: collecting a fault code set, a sensor signal, an ECU log, a CAN message and a user natural language description in real time through a vehicle bus and a diagnosis interface, performing denoising, normalization and time synchronization preprocessing on the acquired data to form a diagnosis input set Xt = {D, St, Lt}, D being a fault code set, St being a sensor signal data stream, and Lt being a language description of a user or a maintenance technician; s2, knowledge base construction and management: constructing a unified automobile knowledge graph G = (V, E) and a text knowledge base K; according to the automobile intelligent diagnosis method based on the knowledge enhancement large language model, semantic level diagnosis capability is improved, semantic association of fault codes, sensor data and natural language description can be fused, deep understanding of cross-modal data is achieved, and the problem of data isolation of a traditional model is solved.

The present application belongs to the field of vehicle control system security technology, and particularly relates to a vehicle CAN bus anti-intrusion method and device. The method adds a watermark to the control command sent by the vehicle master control module through a watermark control module and transmits the control command to the execution component control module through the CAN bus. The execution component control module judges whether there is illegal intrusion by performing watermark detection on the received control information. The present application can avoid illegal attackers from sending illegal commands to the vehicle execution components through the CAN bus, thereby improving the safety of the vehicle.

A vehicle load power distribution control method and apparatus, and a computer program product. The method comprises: when it is detected that a certain load of a vehicle has a fault, automatically turning off a power distribution port of a power distribution unit for the load; identifying whether a state transition triggered on the basis of an operation of a driver is present on a vehicle bus communication network; and when the state transition is identified, sending a power-on request to the power distribution unit for the load, so as to restore the power distribution of the load. By means of restoring an abnormally disabled power distribution function from an unconscious habitual operation of a customer during traveling, the restoration process becomes imperceptible, thereby greatly mitigating adverse experience of customers. Fault recovery can also be performed without stopping, thereby significantly improving the safety and convenience of traveling, and providing a smoother and more comfortable driving experience for drivers.

The application discloses a kind of intelligent wiper control method and system, car, wherein method includes obtaining wiper switch signal and vehicle information on vehicle CAN bus;Based on wiper switch signal, it is judged whether to start the automatic control of wiper;After judging to start the automatic control of wiper, the theoretical wiping speed of wiper is calculated based on the vehicle information read on vehicle CAN bus, and the wiper motor is controlled according to the theoretical wiping speed of wiper.The application has the advantages that the rain sensor is cancelled, the purpose of low-cost wiper control is realized, the control of wiper is realized through logic control, and the cost of wiper control is saved.

The invention relates to a vehicle-mounted video management system suitable for an extremely cold region. The vehicle-mounted video management system comprises a terminal storage layer, a data transmission layer and a platform management layer, the terminal storage layer is integrated with a double-hard-disk redundant storage unit, a low-temperature self-adaptive heating module, a video acquisition module, an intelligent control module and a video data processing unit; the data transmission layer realizes bidirectional data interaction with the 4G / 5G communication module through a vehicle bus; the platform management layer is a cloud management platform and has the functions of equipment panoramic monitoring, operation and maintenance work order automatic management and multi-dimensional data analysis. Through the PTC heating module and the constant-temperature control logic, the problems that traditional equipment is difficult to start at low temperature and unstable in reading and writing are solved, wide-temperature stable operation from-40 DEG C to + 70 DEG C, a double-hard-disk redundant architecture and a logic reconstruction algorithm are achieved, it is ensured that data are not lost when a single hard disk breaks down, the data perfectness rate is increased, the video reading rate is increased, and the service life of the equipment is prolonged. And end-cloud cooperative fault closed-loop management is realized, and automatic fault inspection, real-time alarm and forced shutdown are realized.

The invention provides a vehicle seat adjusting method, system and device, a multimedia controller and a medium, and relates to the technical field of vehicle control. The method comprises the steps that an initial adjusting instruction sent by a driving user is received in response, and the instruction is input into a seat instruction generation model; the instruction is subjected to semantic analysis through the model, a target adjusting instruction is generated, the semantic definition of the target adjusting instruction is higher than that of the initial adjusting instruction, and the target adjusting instruction conforms to an instruction format defined by a vehicle bus communication protocol; the target adjusting instruction is sent to a vehicle body domain controller of the vehicle, and the vehicle body domain controller is used for controlling the vehicle seat to execute corresponding adjusting operation according to the target adjusting instruction so that the vehicle seat can reach the target seat state. According to the method, the fuzzy or compound instruction sent by the driving user is intelligently analyzed by utilizing the seat instruction generation model, and compared with a mode of mainly relying on memorizing and calling of the pre-stored position in the related technology, the flexibility of seat adjustment is remarkably improved.

The invention discloses a distraction prompting method, a related device, equipment and a storage medium, and the method comprises the steps: carrying out the real-time detection of a driver based on a driver state monitoring system, and obtaining a detection result; in response to the fact that the detection result represents that the driver has a distraction behavior, performing analysis based on first data of a vehicle sensor to obtain a body action of the driver in a target time period, performing analysis based on second data of a vehicle bus to obtain a control action of the driver in the target time period, and obtaining a distraction scene library associated with the driver; wherein the target time period includes that when the driver is detected to have the distraction behavior, the body action does not act on the current vehicle, and the control action acts on the current vehicle; and determining whether to output a prompt message for reminding that the distraction behavior exists based on the body action, the control action and the distraction scene library. According to the scheme, the personalized adaptability of the DMS to different drivers can be improved, and the misjudgment rate is reduced.

The invention relates to the technical field of state monitoring of new energy trucks, and particularly discloses a real-time online monitoring system for the running state of a new energy truck and a working method.The system is characterized in that a vehicle-mounted sensor is connected with a vehicle-mounted controller, the vehicle-mounted controller is connected with a vehicle CAN bus system, the vehicle CAN bus system is connected with a vehicle-mounted wireless terminal, and the vehicle-mounted wireless terminal is wirelessly connected with a mobile phone APP; computational logic is built in the mobile phone APP; vehicle state information recognized by the vehicle-mounted sensor is sent to the vehicle-mounted controller in an electric signal mode; the vehicle-mounted controller identifies the electric signal and forms message information, the vehicle-mounted controller informs a vehicle CAN bus system of the current state of the whole vehicle by sending the message information, and the vehicle-mounted wireless terminal reads the state information; the vehicle-mounted wireless terminal transmits the information to the mobile phone APP through a wireless signal and displays the information in a page; according to the invention, the user and the motorcade management background can conveniently know the real-time state of the vehicle, and the management of the vehicle and the use of the user are greatly facilitated.

The invention discloses a high-voltage relay early fault diagnosis method and a computer program product, and the method comprises the steps: obtaining the historical fault data of a high-voltage relay and the historical data of a vehicle bus, carrying out the rule characterization processing of the historical fault data, and obtaining the rule feature data, training by adopting rule feature data and vehicle bus historical data to obtain a hybrid neural network model, obtaining current data of a high-voltage relay and real-time data of a vehicle bus, inputting the current data and the real-time data of the vehicle bus into the hybrid neural network model to obtain a fault early warning signal, and obtaining a fault early warning result by fusing rule features and multi-source bus data. Dynamic modeling of the operation state of the high-voltage relay is achieved, early degradation characteristics such as contact resistance micro change and action delay can be captured, model training and prediction can be completed without labeling of a large number of early fault samples, the defects that early warning is lagged in a traditional threshold method, and machine learning depends on labeled data are overcome, and the accuracy of early warning is improved. And the early fault identification precision and the system reliability are improved.

The invention discloses a torque vector prediction method based on a simplified vehicle dynamics model. The torque vector prediction method comprises the following steps: S10, acquiring real-time vehicle body attitude and wheel speed data of a vehicle in a vehicle bus; the real-time motion state and direction of the vehicle and the real-time external acceleration are obtained through a composite sensor; on the basis of the vehicle dynamics model, a simplified vehicle dynamics model is obtained, and the existing path of the vehicle is calculated; s20, obtaining steering input data and pedal input data, and obtaining a driver prediction vector by using the driving input prediction model; and S30, performing difference operation on the calculated vehicle existing path and the driver prediction vector, and obtaining a torque vector output result by using a torque vector calculation model. The predictive torque vector algorithm can be used under relatively wide working conditions, has high adaptability to vehicles with different dynamic characteristics, and can enhance the functions (ABS and TC) of a vehicle passive driving assistance system or directly perform internal integration on the vehicle passive driving assistance system.

The invention discloses a fault detection method, device and system for a vehicle-mounted battery cell side system, and belongs to the technical field of new energy automobile battery safety. The method comprises the following steps: acquiring basic data through a sensing layer sensor, acquiring auxiliary data through a vehicle bus, and performing validity verification on the acquired data; carrying out filtering, normalization and data fusion processing on the collected data; basic faults are judged and recognized based on threshold values, complex faults are recognized through a neural network model, and basic fault and complex fault recognition results are subjected to cross validation; matching the fault levels according to the fault types and the number, and carrying out secondary verification and confirmation on the judgment result; and generating a corresponding instruction according to the fault level, sending the instruction to an execution layer through a bus, and receiving execution feedback. According to the invention, accurate detection, staged processing and rapid response of the battery cell fault are realized, and the safety and reliability of the new energy automobile power battery are effectively improved.

1. The name of the design product: multifunctional vehicle bus analyzer. 2. The use of the design product: special test equipment for stability and safety of train system in rail transit. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The present disclosure provides a TBOX detection device and method, which are applied to the field of vehicle communication technology, comprising: a TBOX detection device, characterized in that it comprises: a test control module and a vehicle bus data simulation module, the test control module is connected to the vehicle bus data simulation module, the vehicle bus data simulation module is connected to a TBOX to be tested, and the TBOX to be tested is connected to the test control module; the test control module is used to send bus simulation data to the vehicle bus simulation module; the vehicle bus data simulation module is used to simulate the data format and communication protocol of the vehicle bus, encapsulate the bus simulation data into a message, and send the message to the TBOX to be tested, so that the TBOX to be tested processes the message to obtain the data to be tested; the test control module is further used to receive the data to be tested reported by the TBOX to be tested, and compare and analyze the bus simulation data with the data to be tested.

The application discloses a vehicle bus data processing method, comprising: receiving an original message data file with a predetermined format uploaded on a vehicle side, wherein the original message data file contains original message data of a vehicle controller; performing first parsing on the original message data to obtain a first parsing result; performing second parsing on the first parsing result based on a pre-stored signal description file to obtain a second parsing result; and storing the second parsing result to a database to form a data platform. The application automatically receives, parses twice and stores vehicle bus data, converts complex original message data on the vehicle side into structured information which can be directly used, greatly simplifies a vehicle data processing flow, reduces dependence on specific hardware and software, and improves efficiency and accuracy of data analysis.

The present application discloses a method, system, and device for parsing and comparing CAN bus data in the automotive field, relating to the field of data processing technology. The method comprises: obtaining vehicle CAN bus data and diagnostic signals; determining a multiplexed frame or split frame signal as a first signal, and extracting a data message of the first signal; extracting a data message of a temperature frame signal based on the diagnostic signal; utilizing a first extraction process to extract multiple valid comparison signals based on the data message of the first signal; utilizing a second extraction process to extract multiple valid comparison signals based on the data message of the temperature frame signal; utilizing a reference signal corresponding to the second signal to compare and screen each valid comparison signal in a standardized comparison signal set corresponding to the second signal, obtaining a target valid signal corresponding to the second signal, and broadcasting the target valid signal corresponding to the second signal. The present application improves the processing efficiency and accuracy of CAN bus data.

The invention relates to the technical field of transport vehicle electric appliance testing, and provides a general transport vehicle whole-vehicle electric appliance fault simulation system which comprises a fault scene configuration unit, a multi-protocol self-adaption interaction unit, an electric appliance fault simulation unit, a whole-vehicle bus closed-loop simulation unit and a fault triggering and feedback unit. The fault scene configuration unit generates a reusable fault script; the multi-protocol adaptive interaction unit realizes seamless communication adaptation; the electric device fault simulation unit accurately simulates various faults; the whole vehicle bus closed-loop simulation unit ensures that fault propagation is real; the fault triggering and feedback unit realizes fault triggering and closed-loop verification, supports visual configuration of multi-type fault scenes and generation of reusable scripts through a built-in multi-vehicle-type electric appliance topology template library, can adapt to different vehicle types, is short in matching time consumption, is high in fault simulation precision, can accurately simulate various faults, and is high in reliability and high in reliability through combination with the multi-protocol self-adaptive interaction unit. The fault simulation universality and accuracy are greatly improved, and the test cost is reduced.

The application relates to a function safety and expected function guarantee method and system of a vehicle-mounted bus, relates to intelligent driving safety technology, and comprises the following steps: collecting an operation state signal of a main computing unit; performing fault diagnosis based on the operation state signal to obtain a fault level; determining a safety response strategy according to the fault level; collecting environment perception data and a credibility evaluation value; performing expected function safety risk evaluation by combining the environment perception data and the credibility evaluation value to obtain a risk level; matching a corresponding expected function safety processing strategy according to the risk level; and controlling a safety island hardware and the main computing unit to cooperatively execute the safety response strategy and the expected function safety processing strategy, so that dual guarantee of function safety and expected function safety is realized. The application has the effect of improving the overall safety of a system.