1859 results about "CAN bus" patented technology

The invention discloses a vehicle idling start and stop control system and method. The control system judges whether a vehicle has idling start and stop conditions by monitoring the water temperatureof an engine, the capacity of a storage battery, a safety belt and other information, judges whether the vehicle has conditions of stopping the engine by monitoring the rotating speed of the engine, the speed of the vehicle, the brake air pressure and other conditions, and judges whether the vehicle has conditions of starting the engine by monitoring the gear of a gearbox, the speed of the vehicle, a hand brake and other information. When the relevant conditions are met, start and stop work signals are sent to the engine though a CAN bus. In order to guarantee the reliability of frequent startand stop of the engine, the system strengthens flywheel gear rings of a starter and the engine. In order to ensure that the battery does not lose power, a storage battery capacity sensor is added tothe system on the basis of increasing the capacity of the storage battery, and the idling start and stop are allowed when the state of charge (SOC) of the storage battery satisfies a safe starting threshold. The idling start and stop control system has advantages of low cost and high reliability, and is especially suitable for commercial vehicles.

The invention discloses a ship mobile energy storage system CAN communication protocol automatic test system and method, and the system comprises a protocol modeling and test configuration module, a simulation node behavior simulation module, a CAN bus interaction and power closed loop module, and a test analysis and result evaluation module. A CAN communication protocol specification of the ship mobile energy storage system and parameters of tested equipment can be obtained, a protocol analysis model and a test configuration file are constructed for format verification and logic consistency verification, meanwhile, a corresponding test case sequence is automatically generated, and the message sending time is controlled to generate a time sequence simulation message flow; and sending the time sequence simulation message flow to the tested equipment, simulating energy interaction behavior acquisition to generate a power feedback data set, testing to obtain a signal consistency deviation and a power execution error to construct a protocol conformity evaluation matrix, and generating a visual test report. According to the invention, the high coverage rate and automatic closed-loop test of the CAN communication protocol can be realized.

The invention relates to the technical field of automobile active safety, in particular to an intelligent brake pad abrasion measuring method and system based on multi-sensor fusion, and the method comprises the steps that S1, multi-source sensing signals are synchronously collected, and wheel speed pulse signals and brake pressure signals from a vehicle CAN bus are received; s2, multi-modal signal feature extraction: carrying out time domain filtering processing on the original thickness signal to form a thickness change feature vector, carrying out space partition calculation on the temperature distribution signal to form a temperature gradient feature matrix, and carrying out wavelet packet decomposition on the braking vibration signal to form a frequency domain energy feature set; s3, dynamically fusing decisions, outputting a joint feature vector, and generating a wear loss estimated value and a confidence index; and S4, performing Kalman filtering correction on the wear loss estimated value according to the confidence index to form final wear thickness data. According to the brake pad wear intelligent measurement method and system based on multi-sensor fusion, the problem that brake pad wear cannot be accurately monitored and intelligently diagnosed online in real time can be solved.

The invention discloses an electric heating deicing system and method based on machine learning prediction and adaptive adjustment, and belongs to the technical field of wind power generation. The system comprises a multi-physical sensor array and a dynamic heating execution module which are arranged on a blade. The multi-physical sensor array and the dynamic heating execution module are both connected with a CAN bus; the CAN bus is connected with an intelligent control module, a cloud collaboration platform and an edge computing node. The method comprises the following steps: acquiring historical operation data of an original unit, and preprocessing the historical operation data to obtain preprocessed data; the original unit historical operation data comprises environmental parameters and blade state monitoring data; analyzing the preprocessed data based on a machine learning algorithm, and establishing a blade icing prediction model; real-time environment parameters and blade state monitoring data are obtained, and the blade surface icing condition is predicted based on the blade icing prediction model; and determining the heating requirement of the blade based on the surface icing condition of the blade, and carrying out deicing.

The invention provides a water surface target grabbing system and a control method thereof, and relates to the technical field of marine operation equipment. The system comprises an unmanned ship and a cooperative mechanical arm, the unmanned ship and the cooperative mechanical arm share a processor; the unmanned ship supplies power to the cooperative mechanical arm; the unmanned ship is positioned through an inertial navigation system on the unmanned ship and a scene camera and a depth camera on the cooperative mechanical arm; a scene camera, a depth camera and an integrated sensor on the cooperative mechanical arm transmit data to a processor on the unmanned ship through a local area network, the processor calculates and analyzes the data transmitted by the scene camera and the depth camera, and an action instruction is sent to the cooperative mechanical arm through a CAN bus. According to the water surface target grabbing system, automatic grabbing is achieved, and the grabbing precision, stability and adaptability of the system in the dynamic marine environment are improved.

The invention discloses a multi-dimensional intelligent analysis and fault traceability system for ACU final test data, and relates to the technical field of data analysis. The multi-source heterogeneous data acquisition module is used for acquiring operation parameters, function test data and assembly data through a CAN bus, test equipment and a production system, and is provided with a high-precision timestamp; the data cleaning and preprocessing module is used for standardizing data, filtering and denoising, synchronizing time and complementing missing values; the multi-dimensional feature extraction module is used for extracting features from a time domain, a frequency domain, a time sequence and a space; the intelligent fault diagnosis module is used for classifying faults by using a random forest and a D-S evidence theory and evaluating severity; the fault traceability reasoning module is used for constructing a fault propagation graph and positioning root causes through a Bayesian network; and the visual display and early warning module is used for generating a three-dimensional fault tree and a thermodynamic diagram and triggering graded early warning. According to the invention, the fault detection rate and traceability efficiency are improved, the false alarm rate is reduced, early warning is realized, the ACU test process is optimized, and the product quality and safety are guaranteed.

The invention discloses an Internet of Vehicles intrusion detection method based on hierarchical feature enhancement and a dynamic sparse attention mechanism, and the method comprises the steps: firstly obtaining an original CAN bus message data stream, and carrying out the multi-modal data preprocessing and hierarchical feature construction; secondly, for hierarchical features, performing message-level depth feature compression and space-time statistical feature enhancement by adopting a dual-channel feature compression mechanism to form an enhanced mixed feature vector, and then constructing a neural network model of a dynamic sparse attention mechanism based on content awareness to perform feature extraction; and inputting a sparse attention calculation result into a hierarchical classifier, and predicting and outputting a detection result. And training the network model, and deploying the trained network model in a vehicle-mounted embedded device to realize real-time message monitoring and intrusion detection. According to the method, the calculation complexity and parameter quantity of the model are greatly reduced, the real-time performance in a vehicle-mounted environment is remarkably improved, and the detection capability on complex hidden attacks is effectively improved.

The invention relates to the technical field of spacecrafts, and discloses a satellite solid storage and data transmission integrated system which comprises a data transmission solid storage master control FPGA, an FPGA loading and refreshing system and an ARM system, the FPGA loading and refreshing system and the ARM system are connected with the data transmission solid storage master control FPGA, the ARM system is connected with the FPGA loading and refreshing system, and meanwhile the ARM system is connected with satellite service through a CAN bus; the FPGA loads and refreshes a system, and periodically refreshes rewrite configuration or system reset rewrite configuration to ensure normal operation of the configuration; and the ARM system forwards the satellite remote control instruction received from the CAN bus to the data transmission solid memory master control FPGA and the loading FPGA through the SPI bus. According to the technical scheme, storage and transmission are efficiently integrated, the data storage rate, the data transmission rate and the data transmission capacity are improved, the system architecture is simplified, flexible selection of a data transmission modulation mode and the data transmission rate is achieved, the system reliability is improved, data access and transmission can be more accurately regulated and controlled through control and management of the FPGA, and the system reliability is improved. And the system instability caused by hardware faults or interface problems is effectively reduced.

The invention discloses an LLM-based controller CAN communication test method and system, and the method comprises the steps: converting a DBC file into a configuration file, reading a VSS and CAN signal corresponding relation file, and inputting the VSS and CAN signal corresponding relation file to an LLM; calling an LLM model, and generating a test case according to the cue word; constructing an automatic framework to implement an execution function based on a behavior-driven development BDD mode; and associating the generated test case with an execution function in the automation framework, constructing a complete test suite, and operating the test suite to execute a CAN bus communication test. VSS path and CAN Signal verification is carried out on the basis of the controller which already realizes the VSS technology, the test case conforming to the BDD natural language is generated by using the LLM, the test case is directly used as the test script, the step of manually compiling the test case is omitted, the test efficiency is improved, and the test cost is reduced.

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 an Internet of Vehicles CAN bus intrusion detection method based on noise perception active learning, and belongs to the technical field of Internet of Vehicles safety and machine learning. The invention aims to solve the technical problems of false label noise interference, high manual labeling cost, high attack missing report rate caused by class imbalance and the like. The core of the method is to execute a noise sensing mixed query strategy in an iterative loop: firstly, generating a pseudo tag through clustering and correcting by using an integrated noise detector; secondly, calculating uncertainty scores and noise probabilities of the samples, fusing the uncertainty scores and the noise probabilities to obtain a comprehensive score, and preferentially selecting the samples with high uncertainty and low noise probabilities; and then adaptively selecting a sampling strategy according to the model performance and applying category balance constraint. The query batch is used to iteratively update the model while dynamically adjusting the classification threshold to reduce the missing report rate. According to the method, the influence of pseudo label noise can be effectively suppressed, and the attack detection precision and generalization capability are remarkably improved with extremely low labeling cost.

The invention provides a CAN bus message period adjusting method and system based on dynamic load balancing, and the system measures and calculates a network load rate and an error state through a network load real-time detection module, carries out the priority grade division and parameter configuration for different messages, carries out the load partition definition according to the load rate, and carries out the adjustment of the CAN bus message period. And dynamically adjusting a message sending period according to a measurement result, adding a feedback mechanism to realize closed-loop control, and finally realizing load balancing of the system.

The invention relates to an electrostatic vibrating diaphragm automobile audio which is mainly used for an electric vehicle and can compensate vehicle-mounted electromagnetic interference audio and solve the problem of electromagnetic interference of a motor PWM switch and rotating speed harmonics on an audio system. The electrostatic diaphragm automobile sound system comprises an electrostatic diaphragm loudspeaker and an interference feature extraction module, the rotating speed of a motor and the PWM frequency are obtained through a CAN bus, and a dynamic interference feature set is analyzed and extracted through adaptive window length FFT; the EMI quantification module is used for calculating an electromagnetic pollution index at a frequency band of 8kHz-20kHz, and triggering compensation when the electromagnetic pollution index exceeds a threshold value of-40dB; the dynamic notch compensation module is used for generating an inversion signal; according to the double-loop feedback control module, the amplitude is adjusted through PID of an inner loop, and the phase is optimized through gradient descent of an outer loop so as to minimize THD. The method comprises five steps of signal acquisition, feature extraction, interference quantification, dynamic compensation and signal injection. Interference frequency drift can be accurately tracked, a tone quality MOS value is improved after compensation, and an over-compensation risk is avoided.

The invention provides an electronic mechanical braking system, a vehicle controller and an electric vehicle, and relates to the technical field of electric vehicles. The electronic mechanical braking system comprises a central controller and four wheel end braking devices, and the central controller is used for controlling the four wheel end braking devices to output clamping force to four wheels of the electric vehicle. Wherein the central controller is in communication with the whole vehicle CAN through two public CAN buses and is in communication with each of the four wheel end braking devices through two private CAN buses. In this way, redundant backup of the communication link is achieved, and the communication reliability of the electronic mechanical braking system is improved.

The invention relates to the field of vehicle-mounted bus testing, and discloses a vehicle-mounted CAN bus terminal resistor configuration method and system for node testing, and the method comprises the steps: obtaining a node identifier and a terminal resistor identifier corresponding to each test node in a vehicle-mounted CAN bus test, the terminal resistor identifier being used for identifying the terminal resistor access state of the test node; obtaining a first node position of a first test node corresponding to the first node identifier, configuring a terminal resistor for the first test node when the first node position is an end node of the vehicle-mounted CAN bus, and canceling the configured terminal resistor for the test node of a non-end node; and updating the terminal resistor identifier of each test node according to the terminal resistor access state corresponding to each test node. According to the invention, the terminal resistor can be automatically configured in the CAN bus test.

The present invention relates to a CAN bus anomaly detection method and system based on a dual attention mechanism, comprising the following steps: S1, collecting on-board data from an OBD interface of a vehicle in real time, wherein the collected on-board data comprises operation parameters of an engine, a vehicle speed, the state of a braking system, and the readings of other important sensors; and S2, performing inference analysis on the on-board data at a vehicle end by using an anomaly detection model, calculating a threshold by means of normal operation data so as to identify a potential anomaly or attack mode, once an anomaly is detected, immediately generating identification information, giving a direct alarm to a driver, and slicing, encrypting and storing abnormal data. The present invention relates to the technical field of CAN bus anomaly detection. In the present invention, an anomaly is detected by using the strong relevance of normal data characterization under different perspectives and the difference between the normal data characterization and abnormal data characterization, and by means of the characterization learning of a large amount of normal data, the objective of anomaly detection is achieved, the dependence on abnormal data is reduced, and the accuracy of CAN bus anomaly detection is improved.

The embodiment of the utility model provides a control device. The control device comprises two interfaces and a processing module. The two interfaces are respectively used for being connected to two signal lines of a controller area network (CAN) bus; and the two interfaces are used for forming a CAN communication channel between the processing module and the CAN bus. The control device further comprises a circuit for connecting the two interfaces; wherein an impedance and a switch connected in series with the impedance are arranged in the circuit. The processing module is used for controlling the switch connected in series with the impedance in the circuit to be closed when the control device is configured as a terminal node of the CAN bus; or when the control device is configured to be a non-terminal node of the CAN bus, the switch, connected with the impedance in series, in the circuit is controlled to be switched off. The embodiment of the utility model can be applied to intelligent automobiles or new energy automobiles, flexible configuration of the control device on the CAN bus can be realized under the condition that the hardware structure of the control device does not need to be adjusted for different automobile types, the cost can be reduced, and the management difficulty can be reduced.

The invention provides a data transmission method and device, equipment and a storage medium. The data transmission method is applied to the controller, at least two buffer areas are arranged in the controller, and the data transmission method comprises the steps that in response to starting of a first timer, CAN data sent by external equipment through a CAN controller local area network bus is stored in the buffer area in an idle state in the at least two buffer areas; in the process of storing the CAN data through the buffer area in the idle state, forwarding the CAN data stored in the buffer area in the occupied state in the at least two buffer areas through a serial peripheral interface (SPI) bus; wherein the data transmission rate of the CAN bus is smaller than that of the SPI bus.

The invention belongs to the technical field of central control screen performance testing, and particularly relates to a new energy automobile central control screen performance testing device which comprises a dynamic extreme environment reproduction cabin, a bionic man-machine interaction behavior simulator, a multi-modal parameter synchronous acquisition array, an intelligent decision-making level analysis and evaluation engine and a holographic visualization decision-making support terminal. Physical environment support is provided through the dynamic extreme environment reproduction cabin, environment parameters of the dynamic extreme environment reproduction cabin are synchronized to the multi-modal parameter synchronous acquisition array in real time through the CAN bus, and operation data generated by the bionic man-machine interaction behavior simulator and performance indexes acquired by the multi-modal parameter synchronous acquisition array are preprocessed by the edge computing node and then are transmitted to the multi-modal parameter synchronous acquisition array. The holographic visual decision support terminal is transmitted to the intelligent decision level analysis and evaluation engine through the gigabit Ethernet, and an evaluation report generated by the intelligent decision level analysis and evaluation engine drives the holographic visual decision support terminal to display a result, so that the construction of a closed-loop test system is realized, the test efficiency and the performance evaluation accuracy are remarkably improved, and the automation level and the intelligent level are high.

The invention provides an FPGA (Field Programmable Gate Array) implementation method for receiving and transmitting 16-path CAN (Controller Area Network) and 16-path serial port data. The FPGA implementation method comprises the following steps of: constructing a hardware architecture suitable for efficiently receiving and transmitting the 16-path CAN and 16-path serial port data by utilizing the characteristic of cooperative work of a processing system PS of XC7Z045FFG900-2 and a programmable logic PL; a CAN bus controller on the PL side is configured; configuring a serial port transceiver chip at a PL side; a ping-pong buffering function on a PL side is realized; establishing register mapping; and a double-AXI interface collaborative interaction mechanism of the PL side and the PS side is realized. The method has the beneficial effects that the ping-pong buffer technology and the parallel processing capability of the FPGA are adopted, so that efficient concurrent processing of 16-path CAN and 16-path serial port data is realized; through reasonable hardware design and register configuration, the stability of communication between the CAN bus and the serial port is ensured; based on the programmable characteristic of the FPGA, the system is flexibly configured and adjusted according to different application requirements; the advantages of an XC7Z045FFG900-2 hardware platform are fully exerted, and the resources of the PL side and the PS side are reasonably distributed and utilized.

The invention discloses a gear calibration method for a 3D Hall type combination switch, and the method comprises the steps: starting an upper computer, notifying a six-axis force control robot and a CAN bus tester to prepare, enabling the robot to insert a test sleeve into a switch driving lever, and calibrating the test sleeve to a switch center; the six-axis force control robot pokes a poking rod to test a first gear, collects a force-angle-time array and X / Y / Z magnetic field data of a 3D Hall sensor, calculates alph and beta angles, constructs a correlation array and sends the correlation array to an upper computer; the upper computer generates a multi-dimensional curve graph, analyzes the maximum operating force F1 and the angle S1, finds out a force control point F3 and an angle S3 which are equivalent to the F1 after the S1, and determines the trigger time T3 and calibration data alpha < ph3 >, beta < 3 >, X3, Y3 and Z3; repeating the steps to obtain calibration data of each gear, and after the upper computer is verified to be qualified, writing a product by the CAN bus tester to complete calibration; and 6, the axial force control robot tests all gears, and the CAN bus tester detects the triggering condition and verifies the calibration effectiveness. Problems of early triggering, delayed triggering and the like of the switch can be avoided, and the gear function is accurately triggered.

The invention relates to a CAN bus impedance matching method, device and circuit, electronic equipment and a storage medium, and the method comprises the steps: obtaining the error rate of a CAN bus, and enabling the error rate to be used for representing the communication quality of the CAN bus; the bit error rate is compared with a reference threshold value, and the reference threshold value is dynamically adjusted based on the use state of the CAN bus; and when the bit error rate is greater than a reference threshold value, the resistance value of a matched resistor on the CAN bus is adjusted, so that the CAN bus is in an impedance matching state, and the matched resistor is an adjustable resistor. Therefore, the reference threshold value can be determined based on the use state of the CAN bus, and then the resistance value of the matching resistor on the CAN bus is adjusted based on the error rate and the reference threshold value, so that the impedance matching state of the CAN bus is automatically adjusted according to the use state of the CAN bus, and the CAN bus is always in the impedance matching state. The problem that the service life of a device is shortened due to the fact that the matched resistor with the fixed resistance value is not matched with the CAN bus impedance is effectively solved.

The invention relates to the technical field of dynamic parameter correction of self-adaptive control systems, in particular to an unmanned crawler braking system and method based on self-adaptive control. The system comprises a data acquisition module, a viscosity dynamic compensation module, a control instruction generation module and a distributed execution module. The data collection module collects vehicle motion state parameters through an accelerometer, a pitch angle sensor and a hydraulic oil temperature sensor, GPS time service and a CAN bus clock are adopted to calibrate the time sequence of a multi-source sensor, and the control instruction generation module fuses the pitch angle, the steering torque parameter and the viscosity variation. According to the method, through closed-loop viscosity correction, instruction time sequence optimization and low-temperature adaptability regulation and control, the problem of braking torque control deviation of a multi-degree-of-freedom articulated mechanism caused by nonlinear change of the viscosity of a hydraulic medium is solved.

The invention discloses a new energy unmanned ship battery power control method and system, and the method comprises the steps: an unmanned ship total system sends a start-stop instruction to a BMS, and carries out the automatic awakening and starting of a battery pack; after the BMS is started, the voltage of a battery module, the current of a main loop and the temperature of key components are detected, and if normal, a pre-charging circuit is started to pre-charge a high-voltage loop capacitor; after pre-charging is completed, the BMS disconnects the auxiliary contactor and closes the main contactor, and the battery module supplies power to the electric equipment; during operation, the BMS acquires operation data in real time and uploads the operation data to the unmanned ship total system for monitoring through an external CAN bus; when the multiple battery packs are connected in parallel, cooperative charging and discharging control is carried out through an external CAN bus; the unmanned ship main system sends a shutdown instruction, and the BMS cuts off the main contactor; when abnormity is monitored, the BMS triggers the main fuse to fuse and cuts off self power supply. According to the method, the problem of safe starting is solved, the battery state monitoring precision is improved, a multi-dimensional safety protection system is constructed, and multi-battery-pack cooperative control is optimized.

The invention relates to the technical field of data analysis, and provides a CAN bus waveform message analysis method, device and equipment and a medium, and the method comprises the steps: issuing an operation instruction carrying a preset operation parameter to an oscilloscope; in response to waveform data fed back by the oscilloscope, storing the waveform data as a message file in a preset format; analyzing and converting the message file according to the data head structural body identified by the oscilloscope to obtain a message array; performing time domain segmentation, normalization processing and de-noising processing on the data in the message array by using a Numpy library to obtain a message signal; and performing error frame screening on the message signal by adopting a strategy of supplementing one after five, and performing layer-by-layer analysis on the screened message signal based on a CAN protocol structure to obtain message analysis content. According to the invention, through the software design of the whole process, a universal scheme is adopted from data acquisition, storage and analysis to signal processing and message generation, so that the analysis universality of the CAN bus waveform message is effectively improved.

The invention discloses a predictive vehicle control system and method for multi-modal consciousness recognition and electronic equipment, and relates to the field of remote monitoring, and the system comprises a multi-modal sensing module, an intention prediction module, a cross-domain pre-control module and a false trigger suppression module. The multi-mode sensing module is used for collecting three-mode data of sight, gestures and voice and dynamically distributing weights based on environmental parameters; the intention prediction module is used for performing time-space synchronization verification on the three-mode data and calculating comprehensive confidence in a grading manner; the cross-domain pre-control module outputs pre-control instructions to a cabin domain, a vehicle body domain and a power domain based on the effective intention; the false triggering suppression module is used for dynamically adjusting a confidence coefficient threshold value based on a driving scene and has a failure backspacing learning function; wherein each module performs data interaction based on a vehicle-mounted Ethernet / CAN bus.

The invention discloses a controller local area network communication matching method and device, equipment and a storage medium. The method is applied to a host in a parallel operation system, and comprises the following steps: in response to a controller local area network communication matching instruction, sending a test signal to a controller local area network bus; acquiring a voltage sampling signal sampled from the controller area network bus, determining a differential level corresponding to the voltage sampling signal, and determining a communication state determination result corresponding to the received test signal; and executing a corresponding impedance matching mode according to the differential level and the communication state judgment result. The to-be-executed impedance matching mode is comprehensively determined by detecting the differential level of the CAN bus and the communication state judgment result, so that dynamic adjustment and automatic testing of impedance matching are achieved, the problem that the CAN communication matching result is not ideal in an existing method is solved, efficient, accurate and low-cost CAN communication matching is achieved, and the method is suitable for large-scale popularization and application. And the reliability, the maintainability and the scene adaptability of the parallel operation system are improved.

The present application provides a cockpit domain controller. The controller comprises an SoC and an MCU; the MCU is provided with two SPI communication channels, two CAN communication channels, a PWM channel, an I2C channel, multiple temperature ADC acquisition channels, multiple voltage monitoring and acquisition channels, and multiple GPIO control channels; the MCU is connected to the SoC by means of the two SPI communication channels and one GPIO control channel; two CAN buses are each provided with a PDCM, a PDCF, an IBC, an EPS, and a VDC; the PWM channel is provided with a fan controller; one ADC channel is connected to a voltage monitoring channel, and another ADC channel is connected to a temperature measurement channel; the I2C channel is provided with a memory, a backup loudspeaker, and a real-time clock chip. The cockpit domain controller of the present application can provide real-time and secure data interaction between the SoC and other controllers.

The present disclosure provides systems and methods for providing secure CAN communications. Exemplary embodiments of the present disclosure provide secure CAN communication between vehicle components. According to an embodiment, a method for providing may include: generating, by at least one processing unit of a transmitter, a one-time password (OTP); acquiring, by at least one processing unit of the transmitter, a master key provided in advance to the transmitter and the receiver; deriving, by at least one processing unit of the transmitter, a shared key based on the OTP and the master key; generating, by at least one processing unit of the transmitter, a message authentication code (MAC) based on the derived shared key; attaching, by at least one processing unit of the transmitter, the MAC to the message; and transmitting the attached message to the receiver via the CAN bus by at least one processing unit of the transmitter.

The embodiment of the invention discloses an instrument testing method, device and equipment, a storage medium and a program product, and is applied to the technical field of vehicle testing, and the method comprises the steps: collecting a CAN bus message of an original end controller corresponding to a to-be-tested instrument on a system rack; generating a simulation message based on the CAN bus message; simulating signal input of a preset test scene for the to-be-tested instrument by using the simulation message, and triggering a display function of the to-be-tested instrument to obtain instrument display content; and generating a report based on a comparison result between the instrument display content and the expected display content corresponding to the preset test scene. The simulation message is generated by collecting the CAN bus message of the original end controller of the instrument to be tested on the rack, the instrument function of the instrument to be tested can be triggered by simulating the output of the original end controller in the test scene through the simulation message, and a large number of resources do not need to be input to simulate the vehicle working scene and the real vehicle test on the rack. And various instrument functions of the vehicle instrument can be triggered, so that the test cost is reduced.