198 results about "Automotive systems" patented technology

The invention relates to the technical field of fault detection control, and discloses an automobile fault detection method and system fusing sensor data. The method comprises the following steps: modeling a multi-system sensor network through an automobile system topology mapping algorithm to obtain a sensor topology incidence matrix; performing synchronous processing on the sensor topological incidence matrix according to a vehicle dynamics constraint equation to obtain a synchronous multi-sensor data set; inputting the synchronous multi-sensor data set into a fault propagation path sensing network for fusion to obtain a vehicle system fault feature vector; detecting the fault feature vector based on an automobile physical model constraint optimizer to obtain a fault state recognition result; and tracing and controlling a fault state identification result according to the fault propagation atlas model to obtain a system adjustment control signal. According to the invention, the source identification accuracy of the complex coupling fault and the pertinence of control and adjustment are improved.

In various examples, systems and methods of the present disclosure correspond to speed limit fusion for automotive systems and applications. Systems and methods are disclosed that fuse speed limit data from both one or more map sources (e.g., nav-maps, HD maps, SD maps, etc.) and a perception system, and that employ rules to help resolve conflicts in speed limits from the perception system and the map(s). For example, if a conflict occurs, the rules may indicate whether to use the speed limit data from the perception data, the speed limit data from the map(s), and / or whether to use another type of speed limit data, such as cached speed limit data.

In various examples, head pose prediction for automotive occupant sensing systems and applications is presented. The systems and methods described herein provide for a machine learning model trained using a dataset that comprises ground truth head pose data computed using a registered head model of a training subject. While operating a vehicle, one or more cameras and a depth sensor capture synchronized images of the training subject. To compute a ground truth 3D head pose, angular deviations between a 3D point cloud and the registered head model may be computed to obtain a 3D ground truth head pose measurement. Using an extrinsic calibration transform, the head pose measurement may be mapped into the sensor coordinate frame. Training samples may be produced for training the machine learning model that comprise an optical image frame and the head pose measurement transposed into the frame of reference for that optical image frame.

The invention discloses a large model driven automobile model modeling method based on a Modelica language, and belongs to the technical field of intelligent modeling and automobile simulation. The method comprises the following steps: firstly, accurately analyzing a natural language demand into a structured triple by adopting a BERT-CRF (domain knowledge enhanced) multi-task model; matching an optimal component combination through a multi-objective optimization algorithm driven by a graph neural network, and cooperatively predicting an interdisciplinary parameter feasible region in combination with symbolic mathematical derivation and machine learning; a topological connection matrix is innovatively optimized by using a graph attention network, and intelligent generation and dynamic verification of simulation codes are realized by fusing a template engine and syntax tree analysis; and finally, constructing a multi-target reward function optimization control strategy through reinforcement learning, and establishing a closed-loop knowledge iteration mechanism. Compared with a traditional modeling method, through deep combination of the large model and Modelica, the technical difficulty of automobile system modeling is remarkably reduced while the preciseness of physical modeling is kept, and the method is particularly suitable for complex scenes such as new energy vehicle model development and intelligent driving system integration.

The invention discloses an intelligent networked automobile AEB system based on an improved TTC model and a control strategy of the intelligent networked automobile AEB system. The control strategy comprises the following steps that S1, a data acquisition module acquires sensor data in real time and transmits the sensor data to a safe automobile distance judgment module; s2, calculating collision time Tttc by a safe vehicle distance judgment module; s3, calculating a dynamic safe distance Dego by a safe vehicle distance judgment module; s4, the safe vehicle distance judgment module calculates the braking distance which should be reserved in the vehicle driving process; s5, a safe vehicle distance judgment module calculates graded braking threshold values Ti, Tj and Ts; s6, a safe vehicle distance judgment module judges whether a collision risk exists or not according to the improved TTC trigger logic; s7, if the risk threshold is triggered, entering a grading early warning control module, and outputting corresponding strategies under different risks according to risk grades; the method solves the problems that a dynamic safety distance is lacked and a graded braking threshold value is statically set, and is suitable for more complex scenes with different vehicle speeds, road conditions and driving environments.

The invention discloses an automobile EMB system clamping force accurate control method based on an extended state observer, and belongs to the technical field of electric automobile EMB systems, and the method comprises the following steps: S1, building a novel EMB system five-degree-of-freedom dynamic model containing a LuGre friction model by using an EMB system dynamic relationship; s2, simplifying the five-degree-of-freedom dynamic model of the novel EMB system, estimating the load torque of an EMB driving motor according to the extended state observer, and then estimating the clamping force of the EMB system according to the load torque and the simplified five-degree-of-freedom dynamic model of the novel EMB system; and S3, replacing the measured value to be a feedback value of clamping force closed-loop control of the EMB system according to the estimated EMB clamping force, and accurately controlling the clamping force by adopting fuzzy PID control. By the adoption of the automobile EMB system clamping force accurate control method based on the expansion state observer, the problems that a pressure sensor is high in cost and automobile braking performance is prone to being reduced are solved, and clamping force response is accurately controlled through a fuzzy PID closed loop.

Systems and methods for improving operation of an automotive battery system including an automotive electrical system comprising a battery system that uses operational parameters, predicted internal resistance of a battery expected over a prediction horizon, and real-time internal resistance of a battery to increase performance and reliability. The battery system includes a battery electrically coupled to electrical devices in the automotive system, sensors coupled to the battery that determine terminal voltage of battery, and a battery control system communicatively coupled to sensors. The battery control system determines a charging power limit used to control supply of electrical power to the battery when charging the battery, based on predicted internal resistance when measured terminal voltage of the battery is not greater than a lower voltage threshold and based on a real-time internal resistance of the battery when the measured terminal voltage of the battery is greater than the lower voltage threshold.

The invention discloses a novel encryption-decryption scheme, and aims to detect and defend linear spoofing attacks on a cyber-physical system (CPS). With the wide application of CPS in key infrastructures such as industrial automation, smart power grids and automobile systems, it is particularly important to ensure the safety and integrity of CPS. Linear spoofing attacks are malicious behaviors, normal operation of the linear spoofing attacks is interfered by controlling input or output of a system, and a traditional security mechanism is often difficult to effectively cope with the type of attacks. According to the invention, an encryption algorithm is designed to protect data transmission of the CPS, and the encryption algorithm is combined to recover original data and identify potential attack signs at the same time. According to the scheme, the combination of the cryptography technology and the signal processing method is utilized, the data stream can be monitored in real time, and the possible linear attack is identified by analyzing the change of the data before and after encryption. In addition, according to the scheme, calculation efficiency and implementation feasibility are considered, and it is ensured that necessary safety guarantee is provided on the premise that system performance is not affected. Experimental results show that the proposed encryption-decryption scheme can effectively detect linear spoofing attacks in the cyber-physical system, and has relatively low false alarm rate and missing report rate. In addition, the scheme shows good adaptability and robustness in practical application, and provides a new thought and technical support for the security protection of the CPS in the future.

Software vulnerability in an automotive system is analyzed by receiving one or more application files of a software application developed for the automotive system; analyzing: the one or more application files based on an automotive system specification, data from one or more security databases, an expert preference, and information about modules and functions of the software application; identifying one or more vulnerabilities in the one or more application files based on the analysis; and updating the one or more databases with the one or more vulnerabilities, wherein the updated one or more databases are used to detect the one or more vulnerabilities in the software application running on the automotive system in real-time, wherein one or more patches are provided to secure the automotive system.

The invention relates to the field of intelligent connected automobile systems, in particular to an asynchronous sampling control intelligent connected automobile system mean square consensus method under privacy protection. Comprising the following steps: introducing a time conversion method and a shared sampling period to process asynchronous sampling interaction of heterogeneous intelligent networked automobile communication; acquiring a sampling distributed controller with time-varying noise and an algorithm for the intermittent interactive heterogeneous intelligent connected automobile system; a new hybrid closed-loop system is constructed, and a Lyapunov function is constructed for the closed-loop system to obtain conditions for realizing mean square output consensus of the heterogeneous intelligent connected automobile system; parameters in the algorithm are determined, and the convergence precision, the convergence speed and the differential privacy budget of the heterogeneous intelligent network connection automobile system are quantified. According to the method, the privacy protection mean square output consensus problem of the heterogeneous intelligent networked automobile system under the condition that asynchronous sampling interaction and transmission have bounded time-varying delay is solved.

In various examples, a technique for end-to-end camera view verification for automotive systems and applications includes computing a checksum for at least a portion of a frame to be displayed on a screen, wherein the frame comprises one or more views captured using one or more cameras. The technique also includes receiving a sequence of checksums associated with one or more previous frames displayed on the screen. The technique further includes updating one or more counters based on one or more comparisons of the computed checksum and the sequence of checksums and causing an alert associated with display of the frame on the screen to be generated based on the one or more counters.

The invention provides an intelligent networked automobile system. The intelligent networked automobile system comprises a sensing module, a control module, an execution module and a communication interaction module, the sensing module is used for acquiring environment information outside the vehicle; the control module receives data of the sensing module and the communication interaction module, and analyzes and processes the data; the execution module is used for converting an instruction sent by the control module into an actual vehicle action; the communication interaction module comprises a vehicle communication interaction module, a mobile terminal interaction module and a traffic facility interaction module; and the vehicle communication interaction module is used for exchanging respective vehicle information and environmental information acquired by respective vehicles among different vehicles. According to the intelligent networked automobile system, the communication interaction module is arranged, the rear automobile can adjust the driving state of the rear automobile in time according to the speed change of the front automobile, a safe distance is kept, the driving efficiency is improved, the automobile and pedestrians can be reminded mutually, and the driving safety is improved.

The invention relates to an automobile development test management method based on an ALM system, and belongs to the technical field of automobile development management. The method comprises the steps of integration of an ALM system and an automobile development process, automatic collection and analysis of test data based on the ALM, intelligent generation and management of test cases, multi-project collaborative management based on the ALM, automatic regression testing in the ALM system, a real-time collaboration and communication platform based on the ALM, and ALM configuration management adapted to a complex automobile system. And cross-domain problem tracking and management based on ALM. According to the method, through integrating functional modules such as a development process, intelligent test case management, multi-project collaborative management, automatic regression testing and a real-time collaborative platform, full-life-cycle management and optimization of the automobile development project are realized, the development efficiency can be remarkably improved, the error rate is reduced, product marketing is accelerated, and the development cost is reduced. And meanwhile, the product quality and consistency are ensured.

A seat includes a seat frame, a pad body, and a power generation device. The pad body covers the seat frame. The power generation device is arranged on an occupant-side of the pad body and generates electric power from vibrations. The seat may further include an outer covering that covers the pad body. The power generation device may be located between the pad body and the outer covering.

A multi-channel vehicle-mounted seat vibration feedback system and method, the system includes a signal input module configured for obtaining interaction signals collected or output by an automobile system; a signal processing module configured for performing data stream conversion on each interaction signal to obtain a corresponding pending signal; a multi-channel data processing module configured for preprocessing the pending signal according to a preset signal processing method to obtain a multi-channel signal; a driving module configured for outputting a driving signal for driving the vibration and / or sound of the automobile seat through a feedback output channel according to the multi-channel signal; and an execution module configured for driving the vibration and / or sound of an actuator of the automobile seat according to the driving signal output by each individual tactile feedback output channel. As a result, the signal feedback effect is more accurate and richer, and the use experience is better.

Systems and methods are disclosed for determining the efficacy of an autonomous vehicle driving system in exhibiting safe driving behavior during test track scenarios. Testing parameters eliciting autonomous vehicle driving system behavior may be chosen for the test track scenario. The autonomous vehicle driving system may be tested in the test track and autonomous vehicle driving system behavior may be observed in response to the presentations of testing parameters. A safe driving score may be calculated for the autonomous vehicle driving system based on measured autonomous vehicle performance and operational data generated responsive to the presentation of testing parameters in the test track. A benchmark insurance premium may be calculated for an autonomous vehicle driving system based on the calculated safe driving score.

An Electronic Control Unit (ECU) provides security for an automotive system. The ECU is classified according to a Cybersecurity Assurance Level (CAL) and calculates a cryptographic value for one or more or all modules of the ECU. The calculated cryptographic value is compared with a stored cryptographic value. Based on the CAL classification of the ECU, either control to one or more modules of the ECU is provided or the ECU is shut down as follows: when the calculated cryptographic value matches the stored cryptographic value, control to the one or more or all modules of the ECU is provided; and, when the calculated cryptographic value does not match the stored cryptographic value, the ECU is shut down in one of a current boot cycle or a subsequent boot cycle.

In various examples, a technique for end-to-end telltale verification for automotive systems and applications includes receiving, from a buffer, a set of commands associated with a frame to be displayed on a screen. The technique also includes determining, based at least on the set of commands, (i) an expected checksum for a telltale to be included in the frame and (ii) at least a portion of the frame associated with the telltale. The technique further includes computing a checksum for the at least the portion of the frame, and causing an alert associated with the telltale to be generated based at least on a comparison of the computed checksum with the expected checksum.

The utility model discloses a specific sealing and fixing device for an automobile wire harness, which comprises a cable, the cable penetrates through a corrugated pipe, one end, penetrating through the corrugated pipe, of the cable is connected with a terminal, two sides of the terminal are fixedly provided with a connector and a cover plate, and a Grommet rubber part is arranged on the cable and between the corrugated pipe and the terminal; according to the automobile EPS system wire harness, the Grommet rubber part has the fixing, wear-resisting, waterproof, sealing and supporting effects on the EPS system wire harness, the structure is simplified and reasonable, the automobile EPS system wire harness can be suitable for scenes with more severe environments, and the automobile EPS system wire harness is easy to process and assemble.

The utility model discloses an electromagnet which comprises a support body and a cover plate fixedly arranged on one side of the support body. An execution assembly is arranged in the support body, the bottom and the top of the support body are both provided with anti-seismic colloid, the bottom is further provided with a PIN terminal, the PIN terminal is electrically connected with the execution assembly, and the connecting position of the PIN terminal and the execution assembly is wrapped by an insulation connecting bridge. The execution assembly comprises a winding supporting piece, a limiting shaft sleeve, an iron core, a permanent magnet and a coil. The two ends of the limiting shaft sleeve are provided with limiting holes, and sliding limiting of the iron core is achieved through a guide block and a positioning base. The anti-seismic performance, the integration level and the installation convenience of the electromagnet can be improved, meanwhile, the leakproofness and the insulativity of the welding part are ensured, and the electromagnet is suitable for an automobile ABS system.

A system for an electric vehicle includes a power switch configured to convert DC power from a battery to AC power to drive a motor, and a three-dimensionally printed heat sink (3D heat sink) coupled to the power switch.

Air vent (2) for an automotive HVAC system, having a control support vane (3) and a controlled vane (6), wherein the control support vane (3) and the controlled vane (6) are arranged in respective arrays in different orientations, the control support vane (3) supports a control member (4) connected to the controlled vane (6) which is arranged behind the control support vane (3), and at least part of the control member (4) is located at least partially within the control support vane (3).

The invention relates to a method for charging a motor vehicle battery during an AVP process carried out within a parking space, wherein the motor vehicle has an electrically controllable locking device for closing a charging opening of the motor vehicle which receives an electrical connection, in particular a charging socket, comprising the following steps: Upon arrival of the motor vehicle at a charging station in the parking area, the infrastructure-side initiation of an opening of the charging port by the locking device in order to release the charging port. After the charging port has been opened, the infrastructure controls a charging robot in such a way that it electrically connects the vehicle's electrical connection to the charging station in order to charge the battery. The invention relates to a further method for charging a motor vehicle battery, a system for a parking space, a device for a motor vehicle, a system for a motor vehicle, a computer program and a machine-readable storage medium.

This application relates to the field of network detection technology, and discloses a method, apparatus, device, and medium for identifying in-vehicle applications. The method includes: reading the behavior sequence of the in-vehicle application within a detection time window; determining discrete anomaly information of the behavior sequence based on discrete outliers of each behavior feature in the behavior sequence; dividing the behavior sequence into multiple sequence segments when the discrete anomaly information meets preset conditions; performing temporal analysis on the behavior features in the sequence segments to generate temporal anomaly information of the behavior sequence; reading and parsing a preset temporal rule chain, and performing temporal and feature matching between the behavior features in the behavior sequence and the rule features in the temporal rule chain to obtain rule matching information of the behavior sequence; and determining whether the in-vehicle application is a malicious application based on the temporal anomaly information and the rule matching information. The technical solution provided by this application can effectively ensure the security of intelligent connected vehicle systems.

The invention discloses a man-machine interaction device using a wireless interface, relates to the technical field of embedded equipment display, and aims to solve the problems that an existing embedded man-machine interaction device is inconvenient to install, difficult to maintain, high in rejection rate and the like due to the fact that the existing embedded man-machine interaction device depends on wired flat cables. The device comprises a man-machine interaction unit, a wireless communication unit and a power supply unit. The man-machine interaction unit comprises a display module and an optional touch module; the wireless communication unit takes a 60GHz millimeter wave non-contact connector chip as a core and replaces a traditional cable to carry out wireless signal transmission; the power supply unit supports multiple modes of contact power taking, wireless charging or battery power supply. Through wireless connection, the installation and maintenance efficiency is remarkably improved, the fault rate and the scrap cost are reduced, temporary installation and use are supported when needed, and the system is particularly suitable for embedded scenes such as smart home, industrial monitoring and vehicle-mounted systems.

The present invention relates to a control method for allowing customers to statically experience a pure electric vehicle system. The system comprises a cockpit control system, a regional control system, a vehicle control system, a vehicle networking control system, a body accessory system, a high-voltage control system, a drive system, and an air conditioning accessory system. This method addresses specific scenarios by employing effective and rational control methods to preemptively enter a specific vehicle mode (such as a car show mode). This prevents the vehicle from becoming stationary and displaying "Ready to Drive" unless the vehicle exits this mode. This allows customers to confidently experience the vehicle's various intelligent functions, gain a deeper understanding of the vehicle, enhance their purchasing desire, and ultimately increase sales.

The invention relates to a support profile beam (2) for a tool trolley system (1) for height-adjustable attachment of system components (4) to the tool trolley system (1), wherein the support profile beam (2) has a maximum spatial extent along a longitudinal axis and can be attached to a chassis (3) movable via rollers (5) to form a tool trolley system (1) with a vertically oriented longitudinal axis (L), the support profile beam (2) comprising: - a number of grooves (N) running parallel to the longitudinal axis (L) of the support profile beam (2) for adjustable mounting of system components (4), - a shaft (K) inside the support profile beam (2), which runs parallel to the longitudinal axis (L), - a door (6) whose door leaf is pivotably arranged parallel to the longitudinal axis (L) and which, when closed, forms a side wall of the shaft (K), - on the door side at least one closing groove (S) running parallel to the longitudinal axis (L) of the support profile beam (2) with two side surfaces, at least one of which has an undercut (H), wherein the door (6) has a closing bead (W) which is designed such that, in the closed state of the door (6), it engages in a form-fitting manner in the undercut (H) of the closing groove (S). The invention also relates to a support profile beam system and a tool trolley system.

Systems and methods related to distributed subsystems with embedded artificial intelligence (AI) compute in automotive systems are disclosed herein. A disclosed automotive computing architecture includes a network, a plurality of networked subsystems in operative communication using the network, and a set of AI accelerators in a one-to-one correspondence with the plurality of networked subsystems. The set of AI accelerators may conduct AI computations for their respective networked subsystems without using the network, reducing latency. The set of distributed AI accelerators may each be optimized for the specific workloads of their subsystems. By using distributed AI accelerators, each task can be handled by hardware optimized for its specific needs, resulting in higher efficiency, lower latency, and better power management. Furthermore, the distributed AI accelerators can provide greater scalability, redundancy, and fault tolerance, enabling better performance across diverse workloads.

An electrified vehicle system is depicted. The system includes a traction battery comprising a variety of electrically connected array modules immersed in a cooling fluid. A sensing component, coupled to at least one array module and immersed in the cooling fluid, is configured to detect a voltage drop when the fluid's contamination level reaches a threshold, thereby increasing its electrical conductivity. This detected voltage drop is communicated to a traction battery monitoring system, enabling proactive management of the cooling fluid's integrity.

The utility model belongs to the technical field of sun visors, and particularly relates to a sun visor with an intelligent screen, which comprises a sun visor shell, a liquid crystal display screen is arranged on one side of the sun visor shell, a mounting groove is arranged on the other side of the sun visor shell, and the sun visor shell is connected with an automobile system through the liquid crystal display screen. Various information of an automobile can be displayed through the liquid crystal display screen, a user can conveniently check the information, when the liquid crystal display screen is used, scenes inside and outside the automobile can be monitored through the camera, videos recorded by the camera can be played through the liquid crystal display screen, and when the automobile is used, the electric push rod can be started by controlling the control panel, so that the user can conveniently check the information. When the electric push rod stretches out and draws back, the camera can be driven to rotate in the mounting base through the first connecting base and the second connecting base, so that the angle of the camera is adjusted, the camera is convenient to use, and the camera can be used as an automobile data recorder and also can be used as an in-vehicle monitor.