177 results about "Vehicle networks" patented technology

There is provided a method for merging data frames performed by a data frame merge device for a vehicle network system. The method comprises receiving a plurality of control data frames from a lower level of the vehicle network system; and merging the plurality of control data frames for a preset standby time in a traffic section in which the plurality of the control data frames are not transmitted to a higher level of the vehicle network system.

The in-vehicle network system includes a first device, a second device, and a third device as electronic control units having a network management function. The first device transmits the periodic message. The second device performs a failure determination to determine that the first device has failed when the reception of the periodic message from the first device is interrupted. The third device has a partial network function. The first device transmits the standby notification to the second device when the first device shifts from the operation state to the standby state due to the fact that the operation notification is no longer received. When receiving the standby notification from the first device, the second device stops the failure determination for the first device.

This invention discloses an online editing and parallel execution method and system for vehicle network test cases, relating to the field of vehicle network testing technology. It establishes an online editing environment via a web interface, enabling automatic generation of protocol code and providing testers with a convenient and efficient development experience. Regarding test case execution, it accurately analyzes the dependencies of test cases, uses a topology sorting algorithm to construct a reasonable execution plan, and adaptively switches between sequential and parallel execution modes. Combined with containerization isolation technology, it allocates an independent execution container for each test case, ensuring the isolation and stability of the testing environment. Simultaneously, it initializes a unified test execution context for each test case and establishes a communication connection with the vehicle network bus simulation engine through a standardized interface, achieving standardization and normalization of operations such as message sending and receiving, fault injection, and assertion verification. In variable management, it adopts a copy-on-write mechanism to achieve isolated sharing of project variables, avoiding data crosstalk.

This invention discloses a lightweight vehicle network intrusion detection system and method based on a parallel CNN-Mamba fusion network. The system includes a data receiving module, a data preprocessing module, a pseudo-color image construction module for mapping network traffic data into a three-channel pseudo-color image and scaling it, and a parallel dual-branch network composed of a CNN spatial branch and a Mamba sequence branch for averaging and fusing the outputs of the parallel dual-branch network to output the final detection category. The CNN spatial branch is used to extract local texture patterns and cross-feature coupling relationships, and the Mamba sequence branch is used to extract long-distance dependent features. When facing the CICIDS2018 11-class fine-grained multi-class classification task, the system can still stably distinguish between normal traffic and various attack types under the conditions of extremely imbalanced classes and scarce minority class samples, and has good engineering application value.

The application provides a vehicle security starting method and system based on post-quantum cryptography, and relates to the technical fields of vehicle electronic control and vehicle network security. The method is applied to an ECU of a vehicle, the ECU is pre-stored with public key information based on a post-quantum cryptographic algorithm and stores an image package containing a post-quantum cryptographic digital signature; the method comprises the following steps: in response to the power-on of the ECU, loading the image package, separating original image data and the digital signature therefrom; determining a cryptographic hash value of the original image data; based on the public key information, performing a signature verification operation of the post-quantum cryptographic algorithm on the hash value and the digital signature; and controlling the starting process of the ECU according to the result of the signature verification operation. The application reconstructs the trust chain of the vehicle by using the post-quantum cryptographic algorithm, and implements quantum security signature verification at the vehicle end, which effectively ensures that the software integrity and authenticity can still be effectively verified under the quantum computing environment, thereby providing full-life-cycle security protection for intelligent networked vehicles.

This invention relates to the fields of vehicle networking and artificial intelligence technology, and particularly to a dynamic cache management method, device, and computer equipment for vehicle networking. The method generates cache management strategies based on state space data at each target time step, obtains cache management strategies for each target time step, constructs training samples for each target time step by combining the state space data and cache management strategies, and uses the obtained training samples for dynamic cache management network updates. This constructs an active cache update mechanism, adapts to the real-time dynamic changes in vehicle networking data, improves the accuracy of vehicle networking cache demand prediction, and achieves time-series and refined prediction of cache demand.

The application discloses a kind of based on two-dimensional coupling chaos vehicle CAN bus lightweight security communication method, belong to vehicle network security communication technical field.This method is applied to the layered vehicle network including gateway electronic control unit GECU, domain control unit DCU and electronic control unit ECU, including four stages of system initialization, identity authentication, key distribution and secure communication.Through two-dimensional coupling chaotic mapping, random challenge value, authentication random quantity and chaotic seed are generated, and combined with global round parameter epoch and domain key evolution parameter rand, a layered key management mechanism is constructed to realize the local derivation of inter-domain and intra-domain shared session keys.The sending node uses the shared session key to perform lightweight encryption and authentication on the service data, and encapsulates the ciphertext and authentication tag in the same CAN message for transmission.This method improves the communication performance of vehicle CAN bus without significantly increasing communication overhead and computational overhead.

This disclosure provides systems and methods for wireless communication that support enhanced in-vehicle network (IVN) configuration operations. In a first aspect, a vehicle includes a plurality of IVNs of an IVN system with a plurality of sensors and a plurality of electronic control units (ECUs), at least one processor, and a memory coupled to the at least one processor. The at least one processor is configured to cause the vehicle to: obtain IVN configuration information corresponding to a particular IVN system configuration; configure one or more sensors of the plurality of sensors, one or more ECUs of the plurality of ECUs, or both, for unicast and groupcast wireless communications based on the IVN configuration information; and wirelessly transmit via the one or more sensors or the one or more ECUs using the particular IVN system configuration. Other aspects and features are also claimed and described.

This invention relates to the field of network debugging technology, and discloses a network signal adjustment method, apparatus, and computer-readable storage medium. The method includes: adjusting preset adjustment rules based on adjustment information to obtain target adjustment rules corresponding to a target controller; if a first target signal is obtained, modifying the signal value corresponding to the first target signal based on the target adjustment rules, and sending the modified signal value to the sending object corresponding to the first target signal; if a second target signal is obtained, determining the target forwarding object corresponding to the second target signal based on the target adjustment rules, and sending the signal value corresponding to the second target signal to the target forwarding object. Thus, by setting up a debugging gateway between the controller and the vehicle network, configuring dynamically adjustable adjustment rules in the debugging gateway, and modifying and forwarding signals according to the adjustment rules, the network signal can be adjusted and changed, thereby improving the efficiency of network debugging.

The application belongs to the technical field of industrial process control and vehicle networking cooperative control, and discloses a vehicle networking cooperative vehicle fleet self-triggered formation control method under denial of service attack conditions, which comprises the following steps: constructing a state space equation of cooperative vehicles, and obtaining expected formation states and actual states of a leading vehicle and a following vehicle; step 2, modeling possible denial of service attacks in vehicle networking; step 3, designing a self-triggered control update strategy for each following vehicle in a time interval in which communication is normal and the communication topology of the fleet remains connected; step 4, based on steps 1, 2 and 3, constructing a fleet consistency controller, and under the condition that the denial of service attack satisfies the frequency and duration constraint conditions, the fleet system meets the control requirements. The application reduces the communication and calculation burden of the fleet, improves the safety and robustness of the system under the conditions of communication attack, limited bandwidth and unstable network, and is suitable for cooperative fleet formation control scenes under various vehicle networking topological structures.

The application provides a vehicle networking fairness transmission method based on convex optimization and reinforcement learning, and belongs to the technical field of vehicle networking and data transmission. The technical scheme is as follows: S1: an improved confirmation ACK frame and a data DATA frame are designed to realize hidden node detection; S2: mathematical modeling of the transmission fairness problem; S3: fairness transmission based on convex optimization and reinforcement learning. The application effectively discovers hidden nodes, alleviates transmission conflicts caused by hidden nodes by improving the transmission power and the 'continuation' field of the data frame DATA, and finally improves the throughput; the reinforcement learning and convex optimization method are used to jointly optimize the transmission strategy, solve the minimization problem of the difference between the transmission data amounts of fast and slow vehicles, and improve the data fairness of vehicle networking transmission.

The present application relates to the technical field of power system regulation, and more particularly to a coordinated regulation method and system for main-distribution-micro multi-level vehicle-grid interaction, and a medium, the method comprising: constructing an electric vehicle aggregation model corresponding to a day-ahead time scale and an intra-day time scale according to historical operation data, real-time access state and state of charge of multiple types of electric vehicles; constructing a main-distribution-micro multi-level electric vehicle aggregation body coordinated regulation model based on the electric vehicle aggregation model and the hierarchical relationship between the main grid, the distribution grid, the micro grid and the charging station; generating coordinated regulation instructions for each level based on the coordinated regulation model, and distributing charging and discharging power to electric vehicles connected in the charging station to achieve orderly charging and discharging regulation. Through the present application, the problem that the prior art cannot perform multi-time scale coordinated aggregation and real-time orderly regulation of multiple types of electric vehicles in the main-distribution-micro multi-level vehicle-grid interaction scenario is effectively solved.

The application provides an intelligent caching and switching method and system for offline speech synthesis, and relates to the technical field of vehicle-mounted voice interaction.The method obtains high-frequency request text through a high-frequency text recognition module combined with statistical analysis and LSTM prediction, an intelligent caching management module adopts a priority pre-synthesis and LRU-K partition caching strategy to realize efficient storage of audio, an online / offline switching control module dynamically switches the synthesis mode based on network quality multidimensional threshold and realizes smooth transition through double buffering, and a caching verification module ensures caching effectiveness through a double verification mechanism of timestamp, SHA-256 hash and version compatibility.The application solves the problems of traditional online TTS response delay, network failure and simple caching strategy, significantly improves the real-time performance, availability and caching reliability of speech synthesis in a vehicle-mounted scenario, and is suitable for efficient deployment of TTS services in a vehicle networking cloud platform.

An in-vehicle network system (100) includes a first control device (40, 50, 60) and a second control device (20, 30) that is hierarchically higher than the first control device. The first and second control devices are connected via a communication bus (38, 44, 54, 64). The first control device is configured to perform a predetermined processing operation using electrical current supplied by a relay circuit (26, 28, 36) located on a power supply line (6) to the first control device, and to transmit periodic messages during the predetermined processing operation.The second control device includes a relay control unit (24, 34) configured to switch the relay circuit (26, 28, 36) on or off based on vehicle state information and to keep the relay circuit switched on while the first control device transmits the periodic messages.

This invention provides a method, system, medium, and device for protecting against redundant link switching in network communication failures, belonging to the field of vehicle network communication and safety management technology. The method acquires main link monitoring data in real time; a programmable gate array (PGA) state machine evaluates the main link's health based on the monitoring data; if the main link's health evaluation does not meet the requirements, a pre-loaded routing table is triggered to activate the backup link, thereby switching the main link to the backup link. This method enables health calculation and switching decisions to be completed within the PGA state machine, with a latency of <1ms, which is 10 times faster than the >10ms latency of traditional software protocol stacks; the pre-loaded routing table achieves nanosecond-level path switching through direct register reading, thus meeting the requirements of low recovery latency in high real-time scenarios.

This application proposes an in-vehicle communication device, comprising: a navigation domain control unit configured to perform a first map service operation for navigation functions using a navigation SDK, and to transmit route coordination information for synchronizing navigation driving intentions to an intelligent driving domain control unit via an in-vehicle network; and an intelligent driving domain control unit configured to perform a second map service operation for intelligent driving functions using an intelligent driving SDK, and to match the executed second map service operation with the navigation driving intentions based on the received route coordination information. This application also proposes a map service system and an in-vehicle communication method. By deploying independent SDKs for the navigation domain and the intelligent driving domain respectively, and transmitting lightweight route coordination information only between the domains, the system coupling can be reduced, supporting independent upgrades and maintenance of navigation and autonomous driving modules.

This invention discloses a method and system for low-altitude blind zone access based on a multi-network converged UAV network. The system includes an embedded device configured with a cellular communication module and a self-organizing network interface card (NIC) as a gateway node, an embedded device configured with a self-organizing NIC as a relay node, and an embedded device configured with multiple self-organizing NICs as access nodes. The system operates by including the following steps: after power-on, nodes automatically perform network configuration, identify new nodes, and assign IP addresses; access nodes achieve transparent forwarding of user data by setting up special connections between NICs; the topology is maintained using self-organizing network protocols, enabling seamless roaming and session persistence for terminals between access points; and the gateway node forwards internal traffic to the cellular network for internet access through network address translation and routing rules. This invention addresses the problems of high cost and difficult deployment of traditional low-altitude blind zone access solutions by employing low-cost equipment and self-organizing network technology, achieving rapid, self-organizing, stable, and reliable network access.

The power supply to the lower-level control device, which receives power via a relay circuit, should be cut off at an appropriate time. [Solution] The intermediate ECUs 20 and 30 have relay control units 24 and 34 that turn on or off relay circuits 26, 28, and 36 provided on the power supply lines 6 of the lower ECUs 40, 50, and 60. The relay control units turn on or off the relay circuits according to vehicle status information relating to the state of the vehicle. The lower ECUs are able to perform control processing and termination processing by being supplied with power via the relay circuits, and periodically send periodic messages while performing control processing and termination processing. The relay control units keep the relay circuits on as long as periodic messages are being sent from the lower ECUs, even if the vehicle status information changes to switch the relay circuits from on to off.

An example operation includes receiving, by a plurality of electric vehicles (EVs) in a vehicle network, a first notification to navigate to a first location in need of a first amount of energy and a second notification to navigate to a second location in need of a second amount of energy; nominating, by the plurality of EVs, one of the plurality of EVs to navigate to the first location and discharge the first amount of energy and navigate to the second location and discharge the second amount of energy; routing, by the one of the plurality of EVs, to the first location and discharging the first amount of energy; and further nominating, by the plurality of EVs, the one of the plurality of EVs to navigate to the second location and discharge the second amount of energy.

The present application relates to a communication device, a management device, an in-vehicle network system, a vehicle, a communication method, a communication program, and a management program. The communication device includes a processing circuit and a storage device. The processing circuit is configured to apply, at a state change of the vehicle, a size of data set to be constant regardless of the state of the vehicle in a prescribed period, as a size of data to be transmitted by itself, and configured to, in a case where the size of the data to be transmitted is larger than the applied size, reduce the size of the data to the applied size and transmit the data, and configured to, in a case where the size of the data to be transmitted is smaller than the applied size, give the data, as padding, data until the size of the data becomes the applied size and transmit the data.

This system corrects the timing of data transmission from in-vehicle devices while suppressing network load. [Solution] The communication control device is a communication control device that controls communication in an in-vehicle network to which a first in-vehicle device connected to a first power supply and a second in-vehicle device connected to a second power supply are each connected, and comprises a processor, the processor performing an operation that includes the steps of detecting that the second power supply has been turned on while the first power supply is turned on, and when it is detected that the second power supply has been turned on while the first power supply is turned on, transmitting timing information to the second in-vehicle device regarding the timing at which the second in-vehicle device starts transmitting a frame, based on a periodically occurring reference time for the first in-vehicle device to transmit a frame and the startup time of the second in-vehicle device.

This invention relates to the field of vehicle network data security technology, specifically to a vehicle network data sharing method based on differential privacy-enhanced federated learning. For multi-source heterogeneous data sharing scenarios in vehicle networks, it constructs a bidirectional dynamic privacy protection mechanism across the entire link of local model upload and global model distribution, enabling secure collaborative training where the model moves while the data remains stationary. Hardware-level algorithm optimization perfectly adapts to vehicle computing power constraints. This invention addresses the computing power limitations of ARM-based vehicle devices by employing adaptive noise injection to achieve an optimal balance between privacy protection and model accuracy. Based on a model parameter sensitivity grading strategy, this invention is highly efficient and low-latency, adaptable to large-scale vehicle network applications. Through optimization strategies such as edge pre-aggregation, sparsity processing, and pipelined parallel computing, this invention significantly reduces computational latency and communication transmission volume.

This application provides an intelligent routing function optimization method and system based on an intelligent vehicle power domain control platform, belonging to the field of intelligent vehicle electronic control technology. It addresses the problems of resource contention, excessive processor load, insufficient real-time performance, and poor scalability in in-vehicle network routing functions in related technologies. This method employs an architecture that separates the management plane and data plane. It pre-generates routing numbers encoding source, path, and destination information for communication relationships, and quickly extracts information based on these numbers through bit operations to execute routing decisions. Furthermore, it combines doubly linked list cache management, multi-core affinity scheduling, and multi-level resource provisioning strategies to achieve efficient cache resource management, significant optimization of processor load, and an overall improvement in system real-time performance and reliability.

The application discloses a kind of unmanned aerial vehicle network routing methods based on radio environment map, comprising the following steps: using each node to update network topology according to the spectrum interference prediction information of radio environment map;Network is modeled as a weighted graph, wherein the weight of the edge between two adjacent nodes is a function related to the position of interferer, each node updates the corresponding routing path in real time according to local neighbor table, two-hop neighbor table and topology table.The application combines table-driven routing protocol and radio environment map, joint network layer and physical layer / link layer discovery routing to bypass spectrum interference area, realize stable routing between unmanned aerial vehicles in spectrum interference environment, with higher packet delivery rate, throughput.

The disclosure relates to a method and a system for detecting and self-correcting at least one fault signal in a network of components for a vehicle. The method comprises detecting the network as malfunctioning during the integration of the network of components and detecting at least one fault signal associated with the malfunctioning network using a root cause identification model. The method comprises generating at least one self-correcting signal corresponding to the at least one fault signal using a self-correcting model and automatically replacing the at least one fault signal with the at least one self-correcting signal for self-correction.

Anomaly detection device (100) has: flow collection unit (110), collect the network system (10) of vehicle network of 2 or more networks each of 2 or more networks flow traffic, the flow traffic is for the information of 1 or more frames about traffic after being classified based on the specified rule of network protocol header information;And anomaly determination unit (140), based on the flow traffic, calculate the observation ratio as the ratio of the communication between 2 or more networks, based on the calculated observation ratio and the normal ratio as the ratio of the communication between 2 or more networks in normal time, determine whether 2 or more networks are abnormal.

A multi-function acoustic diagnostic system for vehicles is disclosed. The system comprises at least one acoustic data acquisition block including one or more microphones, a control unit, and communication interfaces. The system captures acoustic signals during vehicle operation and analyzes the signals using artificial intelligence models, including deep neural networks and autoencoder architectures. The system detects anomalies based on reconstruction error, classifies malfunction signatures, and generates diagnostic reports. In certain embodiments, the system is portable and transferable between vehicles. In other embodiments, the system is permanently installed and integrated into a vehicle network. A predictive analysis module may forecast future failures using historical acoustic data and time-series models. The invention provides real-time and predictive vehicle health assessment.

An anomaly detection method is performed by a higher electronic control unit in an in-vehicle network having a hierarchical structure including a higher network including the higher electronic control unit(s) and a lower network including lower electronic control unit(s). The method includes: collecting flow information including statistical information, for each flow, classified based on header information of each message received at a predetermined observation point in the in-vehicle network; performing anomaly detection based on the flow information; and performing generating, adding, deleting, changing, enabling, or disabling of a DPI rule based on the anomaly detection result. The DPI rule is used in message monitoring by the lower electronic control unit(s). The DPI rule indicates (i) a condition for header information and payload information included in a message, and (ii) processing to be performed when a message satisfying the condition is received.

This invention discloses a multi-tenant end-to-end data security isolation and control system and method, belonging to the field of vehicle network data security. It aims to solve the problems of easy data crosstalk, discontinuous isolation, unreliable trust benchmarks, and difficulty in compliance traceability in multi-tenant scenarios. The system generates a tenant root identifier (TID) for vehicle enterprise tenants, which, together with the device sub-identifier (DID), forms a tenant identifier chain. This chain is synchronized with a trusted authentication center to establish a vehicle-cloud hardware-level trust root. When the vehicle terminal accesses the system, it completes two-way identity authentication and allocates a dedicated message queue telemetry transmission MQTT topic partition and access permissions according to the TID. The terminal collects time-series vehicle control data and generates encrypted data frames with intrinsic identifiers and checksums for uploading. The access gateway performs dual isolation verification before transparent transmission. Data is forwarded to an independent logical storage partition for isolated storage according to the TID. This invention achieves strong hardware-level isolation, real-time verification, and full traceability throughout the entire end-to-cloud chain, effectively preventing cross-tenant data leakage.