308 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.

Systems and methods of generating lane selection cost maps to control autonomous vehicles are disclosed. An autonomous vehicle system can receive a plurality of cost values from a plurality of components of an autonomous vehicle; generate a lane selection cost map based on the plurality of cost values; determining that the autonomous vehicle should change lanes based on the lane selection cost map; and transmit a command that causes the autonomous vehicle to change lanes responsive to determining that the autonomous vehicle should change lanes.

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.

Methods, systems, and devices supporting an interface for refreshing non-volatile memory are described. In some examples, a host system may communicate with a memory system, where both the host system and the memory system may be included within a vehicle (e.g., an automotive system). The host system may receive an indication that the vehicle is powering down (e.g., shutting off an engine or lowering power output from a battery). The host system may switch from a first mode corresponding to a first power usage to a second mode corresponding to a second, lower power usage in response to the vehicle powering down, the second mode supporting initiation of a refresh operation at the memory device. The host system may transmit a refresh command to the memory system to refresh non-volatile memory while the vehicle is powered down if the host system is operating in the second mode of operation.

Systems and methods for electrically isolating a high voltage continuously producing power source. In one embodiment, a high voltage continuously producing power supplying system for supplying high voltage electrical power to an automotive system includes a plurality of components configured to supply the high voltage electrical power to the automotive system and a high voltage power controller configured to receive the high voltage electrical power from the plurality of components. The system further includes an electrical isolation device configured to electrically isolate at least one of the plurality of components. The high voltage power controller is configured to detect that a fault state of the automotive system has occurred and when the detected fault state is detected, the high voltage power controller is configured to trigger the electrical isolation device to disconnect the at least one of the plurality of components from 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.

An advanced driver assistance system (ADAS) configured to assist a driver in low visibility conditions. The ADAS controls operation of one or more automotive systems including an external lighting system, an automotive user interface, and an automotive cruise control system based on the visibility in front of the vehicle. The ADAS system visually assists the driver via an automotive user interface by displaying a streaming video of one or more first front cameras configured to operate in a spectrum visible to the human eye, one or more second cameras configured to operate in a spectrum invisible to the human eye, or a virtual depiction of an environment in front of or surrounding the motor vehicle based on information from an automotive sensory system.

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.

A vehicle control method for one-pedal driving assistance including a process capable of accurately determining whether a traveling road is in a congested section in a proximity distance control start condition in a vehicle that enables one-pedal driving is provided. The vehicle control method includes including collecting, by a controller in a host vehicle having a one-pedal driving system, information on peripheral vehicles positioned, on a traveling road, in front of and behind the host vehicle and connected by a connected car system and information on a preceding vehicle positioned in front of each of the peripheral vehicles. The vehicle control method also includes determining, by the controller, whether the host vehicle is positioned in a congested section based on the information on the peripheral vehicles and the information on the preceding vehicle with respect to each of the peripheral vehicles.

The present invention relates to an optimized management system for supplying electrical energy by means of a cargo transport vehicle, promoting efficiency in energy logistics management, electric mobility and more sustainable development. More specifically, the invention uses the modularity and segmentation capacity of cargo transport vehicles, for example long combination vehicles (LCVs), to meet various electrical energy demand requests, making it possible to meet high energy demand such as during peak consumption periods, as well as lower demand. The present invention pertains to the fields of mechanical and electrical engineering applied to energy management in automotive systems, with particular emphasis on cargo transport.

The invention discloses a development operation optimization system and method of a large-scale multi-component system based on reinforcement learning, real-time clustering DevOps, promotion of DevOps performance analysis and evaluation, RTCD automatic task dependency extraction, sequence generation, task scheduling and task mapping at different abstraction levels, and optimization of development operation of the large-scale multi-component system based on reinforcement learning. A dynamic optimization system is learned through an optimization engine by using an algorithm reinforcement learning method, a DevOps key performance indicator (KPI) is improved, and learning is carried out from historical data to improve task execution time estimation, scheduling, mapping and resource allocation decisions. According to the method, reinforcement learning and key performance indexes are integrated to continuously analyze DevOps performance indexes, process parameters are adjusted to maximize efficiency and effects, and efficient development and deployment of an automobile system are achieved.

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.

Systems and methods for electrically isolating a high voltage continuously producing power source. In one embodiment, a high voltage continuously producing power supplying system for supplying high voltage electrical power to an automotive system includes a plurality of components configured to supply the high voltage electrical power to the automotive system and a high voltage power controller configured to receive the high voltage electrical power from the plurality of components. The system further includes an electrical isolation device configured to electrically isolate at least one of the plurality of components. The high voltage power controller is configured to detect that a fault state of the automotive system has occurred and when the detected fault state is detected, the high voltage power controller is configured to trigger the electrical isolation device to disconnect the at least one of the plurality of components from the automotive system.

A vent unit 24 is for an automotive HVAC system. The vent unit comprises a casing 25 defining an inlet opening 44 to receive a flow of air from a supply conduit of the HVAC system, and at least one vent outlet (48, figure 4) to emit the flow of air directly into a passenger compartment. The vent unit also comprises a mounting means 26 for attaching the casing to a vehicle roll cage, the mounting means comprising at least one resilient clip 28 for insertion into and engagement with an aperture 16 in a structural member of the roll cage, such as a webbing 22 defined between a strut 18 and a brace 20 of an A-pillar (5A, figure 1) of the roll cage, to fix the casing to the roll cage. Ideally the mounting means comprises a plurality of resilient clips and guide walls 38 that compliment the shape of the aperture.

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.