1881 results about "Vehicle control" patented technology

Properly switching between charging and power supply. [Solution] The control device for the electric vehicle is a control device for an electric vehicle equipped with a drive battery capable of charging and supplying power to and from the EVSE. The control device comprises a processor and a communication unit that communicates with the EVSE. When predetermined conditions for performing charging and supplying power between the EVSE and the drive battery are met (if the result is YES in step S116 of Figure 3), the processor controls the communication unit to communicate that it will switch to a charging and supplying mode in which it will charge and supply power to and from the EVSE (step S117 of Figure 3). If the predetermined conditions are not met, the processor controls the communication unit to communicate that it will switch to a charging mode in which the EVSE will charge the drive battery.

The present invention aims to provide a control device that enables high-precision stopping of an omnidirectional mobile vehicle driven by a drive motor, regardless of the floor surface conditions, and an omnidirectional mobile vehicle equipped with the control device. [Solution] The control device for an omnidirectional vehicle includes a motor drive command generation unit for measuring floor surface movement characteristics, a floor surface movement characteristics measurement unit, and a floor surface movement characteristics storage unit for measuring floor surface movement characteristics in advance; a movement path execution unit and a motor drive command generation unit for movement path execution for performing path-following driving during normal driving; and a stop position error measurement unit and a motor drive command generation unit for correction movement for performing corrective movement according to the floor surface movement characteristics after path-following driving.

The application provides an adaptive parking method and system based on hierarchical reinforcement learning and kinematic constraints, relates to the technical field of automatic driving, and aims to solve the problems of poor adaptability, weak safety and low efficiency in the prior art.The method obtains a bird's eye view environment representation of a parking scene and vehicle state information, extracts and fuses features through a perception module to obtain a joint state representation, inputs the joint state representation into a trained high-level strategy network to generate a high-level sub-target instruction, performs kinematic feasibility verification on the high-level sub-target instruction through an adaptive steering boundary module to obtain a verified sub-target, and inputs the verified sub-target and the joint state representation into a trained low-level strategy network to generate continuous vehicle control actions.The application solves the problems of poor adaptability, weak safety and low efficiency in the prior art, and enables the vehicle to complete an efficient, safe and reliable parking task in a dynamic dense scene.

This application relates to the field of vehicle control technology, specifically to an all-terrain adaptive chassis control method, system, and computer program product. The method includes: identifying the current driving terrain and determining the dominant terrain mode; calculating multiple state indices characterizing the current driving condition based on the vehicle's dynamic state; generating multiple control priority indicators based on the dominant terrain mode, multiple state indices, and driver's operational intentions; querying a pre-calibrated strategy parameter mapping table based on the multiple control priority indicators and the dominant terrain mode to generate target instruction sets for each chassis actuator; and distributing the target instruction sets to each chassis actuator for coordinated execution. This method can dynamically balance passability, stability, and comfort under complex and varied terrain conditions, comprehensively improving the overall vehicle performance and driving safety.

The application discloses a battery data expansion and energy management closed-loop method for complex traffic flow, and relates to the technical fields of new energy vehicle battery management and artificial intelligence control. The application is aimed at the problems of battery high dynamic operation data scarcity under complex traffic flow conditions, poor generalization of existing energy management strategies, and open-loop data generation being separated from real vehicle control, and first constructs associated data sets of traffic flow dynamic conditions and corresponding battery operation responses; then constructs a conditional generation adversarial network introducing battery physical constraints, directionally generates battery response data and constructs an expanded data set; based on the expanded data set, a deep reinforcement learning energy management strategy is trained offline, and finally the strategy is deployed to a vehicle-mounted control system, and online closed-loop fine-tuning is performed through real vehicle operation data. The application improves the robustness of the energy management strategy under complex conditions and effectively reduces the energy consumption of the whole vehicle.

The application discloses a kind of hardware-in-the-loop test of automatic driving domain controller, comprising: real-time processor and graphics workstation;Graphics workstation is used to generate simulation traffic scene information, simulation sensor information is generated based on simulation traffic scene information, first simulation sensor information in simulation traffic scene information and simulation sensor information, simulation traffic scene information and simulation sensor information are transmitted to automatic driving domain controller, second simulation sensor information in simulation sensor information is transmitted to real-time processor;Real-time processor is used to transmit second simulation sensor information to automatic driving domain controller, receives the vehicle control information that automatic driving domain controller feedback.This application provides the hardware-in-the-loop test system, device, storage medium of automatic driving domain controller, can avoid the problem that scene information and sensor perception information do not match when hardware-in-the-loop test, improves the accuracy of test.

A controller for a vehicle, the vehicle comprising an imaging device for generating image data and the imaging device further comprising an imaging accelerometer for generating imaging accelerometer data for determining the orientation of the imaging device relative to the vehicle, the controller comprising: an input for receiving a signal indicative of the imaging accelerometer data and the generated image data; a processor arranged to identify alignment artefacts in the received image data in dependence on the received imaging accelerometer data; and an output for outputting an error signal in dependence on the identified alignment artefacts.

A vehicle control method, comprising: acquiring suspension real-time response information for a suspension of a vehicle; when it is determined on the basis of the suspension real-time response information that a current driving working condition of the vehicle is a pulse excitation working condition, determining a pulse excitation scenario for the pulse excitation working condition; and determining a damping control mode of an electrically controlled shock absorber having continuously-adjustable damping in the pulse excitation scenario, and controlling said electrically controlled shock absorber by means of the damping control mode. Also disclosed are a corresponding control device, a vehicle and a storage medium. The control method realizes generation of corresponding control policies for different pulse excitation scenarios to control an electronically controlled shock absorber having continuously-adjustable damping, thereby improving the control efficiency for the shock absorber.

This invention discloses a vehicle control method and electronic device. The invention relates to the fields of vehicle control, autonomous driving, and assisted driving. The method includes: generating a spatial corridor region for the vehicle based on a first driving trajectory of the vehicle itself; constructing a target Boolean sequence corresponding to the obstacle vehicle based on a second driving trajectory of the obstacle vehicle and the spatial corridor region; identifying the interaction intent of the target Boolean sequence based on the kinematic characteristics of the obstacle vehicle relative to the vehicle itself, generating an interaction intent sequence for the obstacle vehicle; generating a driving control decision for the vehicle based on the interaction intent sequence, and controlling the vehicle's movement based on the driving control decision. This invention solves the technical problem of poor vehicle control accuracy in related technologies.

The present invention relates to a knob, a vehicle, and a system and method for controlling a vehicle. The knob comprises an attachment part, an operating part, and a controller; a contact panel is provided on the bottom surface of the attachment part, and a magnet is installed on the inner surface of the contact panel, and the magnet is configured to be attached to a magnetic material part installed inside the display of the vehicle by magnetic force; the operating part is connected to the attachment part and configured to be rotatable and pressed relative to the attachment part, and a touch display panel is provided on the upper surface of the operating part; the controller may be configured to switch to one of a multi-function knob mode, a remote control mode, and a smart key mode based on a knob mode switching signal received from the vehicle, and when switched to a multi-function knob mode, display a user interface corresponding to the control function information on the touch display panel based on the control function information received from the vehicle, and send an operation signal for the control function to the vehicle when the operating part is rotated or pressed, or when the display panel is touched.

An environment recognition device includes an external-field information acquisition unit adapted to acquire external-field information including two-dimensional information or three-dimensional information about an object existing around a vehicle, from an external-field sensor incorporated in the vehicle, a road-surface obstacle area estimation unit adapted to recognize a road-surface obstacle existing on the traveling road surface of a traveling road on which the vehicle is travelling, based on the external-field information, and to estimate a road-surface obstacle area, an above-road-surface obstacle area estimation unit adapted to recognize an above-road-surface obstacle being apart from the traveling road surface and existing above the road surface, based on the external-field information, and to estimate an above-road-surface obstacle area, a travelable-area determination unit adapted to determine a travelable area where the vehicle can travel, based on the road-surface obstacle area and the above-road-surface obstacle area, and an output unit adapted to output information about the travelable area to a vehicle control device adapted to control a behavior of the vehicle.

This application relates to the field of vehicle control, specifically to a method for controlling a sunroof and a vehicle. This application, upon responding to a sunroof opening operation, compares the actual opening degree of the sunshade with the maximum driven opening degree to clarify the relationship between the two, thus mitigating the risk of premature sunroof opening from the control source. Secondly, based on the comparison results, a targeted motion strategy is formulated. If the actual opening degree of the sunshade already meets the maximum driven opening degree, the sunroof can be directly controlled to open normally. If not, the strategy is adjusted to ensure that the sunroof movement does not exceed the sunshade's adaptation range, avoiding an imbalance in the two opening degrees. Finally, this control logic does not require modification of the existing independent mechanical structure. Through linked judgment and strategy adjustment, it achieves dynamic adaptation between the sunroof opening and the sunshade opening degree, completely solving the problem of sunshade damage due to airflow impact and friction during driving caused by mismatched opening degrees, ensuring component lifespan and driving safety.

The application discloses a kind of single vehicle control methods based on scene style migration and SAC network cooperation, including steps: S1, using SUMO tool to build simulation platform;S2, construct single vehicle longitudinal control model, SAC network is used to obtain traffic state from simulation platform, then take action control vehicle behavior, after action execution, agent receives the reward value updated agent parameter that simulation platform feedback;S3, define policy network, output the numerical value of acceleration;Define value function network, output layer represents the estimation of state value;S4, through the vehicle control experimental platform built in call SUMO to simulate different weather conditions, and build measurement model;S5, on the basis of single vehicle longitudinal control model build migration learning framework;S6, using migration learning will train convergent single vehicle longitudinal control model to be transplanted to different weather conditions and train.The application can effectively inhibit traffic stop and go wave, ensure traffic safety, reduce fuel consumption.

This invention provides a wireless redundant sensor comprising a sensor module and a control module. The sensor module includes a holder and a first sensor chip mounted on the holder. The control module comprises a control panel, a control unit arranged on the control panel, and a wireless transmission module arranged on the control panel. The first sensor chip is connected to the control panel via a first metal connector. The control unit is configured to process a sensor signal from the first sensor chip and transmit the processed sensor signal to the wireless transmission module, which then transmits the processed sensor signal to a vehicle control unit. The redundant sensor of this invention can process the sensor signal and transmit it wirelessly to the vehicle control unit.This reduces the number of wiring harnesses required, lowers the overall cost of the vehicle, and prevents signal transmission from being affected by dynamic ranges. This reduces the risk of signal interruptions and thus improves the reliability and stability of the redundant sensor.

Methods and systems are described herein for detecting motion-induced errors received from inertial-type input devices and for generating accurate vehicle control commands that account for operator movement. These methods and systems may determine, using motion data from inertial sensors, whether the hand / arm of the operator is moving in the same motion as the body of the operator, and if both are moving in the same way, these systems and methods may determine that the motion is not intended to be a motion-induced command. However, if the hand / arm of the operator is moving in a different motion from the body of the operator, these methods and systems may determine that the operator intended the motion to be a motion-induced command to a vehicle.

The application relates to the technical field of vehicle control, in particular to a method and device for simulating vehicle end sensor data based on roadside sensors, wherein the method comprises the following steps: generating roadside three-dimensional scene data of roadside sensors based on roadside sensor data of the roadside sensors; generating vehicle body roadside three-dimensional scene data of the roadside three-dimensional scene data in a vehicle body coordinate system based on the roadside three-dimensional scene data and a vehicle body coordinate system of vehicle end sensors; and rendering the vehicle body roadside three-dimensional scene data to obtain simulation data of the roadside sensors simulating the vehicle end sensors. Thus, the problems in the prior art, such as high difficulty, high cost, complex installation, difficult maintenance and the like of data collection and processing, and the difficulty in meeting the increasing demand for vehicle end sensor data, are solved.

The application discloses an engine cold start system and method based on AMT clutch control and belongs to the technical field of vehicle control systems. The system comprises an engine assembly, an engine electronic control unit ECU, an AMT automatic transmission assembly, an automatic transmission electronic control unit TCU, a clutch assembly and a cold start signal input assembly; the output end of the engine assembly is in transmission connection with the clutch assembly, and the clutch assembly is in transmission connection with the input shaft of the AMT automatic transmission assembly; the engine electronic control unit ECU is electrically connected with the engine assembly and the cold start signal input assembly respectively, and the automatic transmission electronic control unit TCU is electrically connected with the AMT automatic transmission assembly and the clutch assembly respectively; the engine electronic control unit ECU and the automatic transmission electronic control unit TCU exchange messages through the vehicle CAN bus to control the separation of the clutch assembly, reduce the flywheel end load of the engine and realize engine cold start control.

This provides a vehicle control system that can accurately detect abnormalities in a vehicle. [Solution] A vehicle control system comprising a vehicle, an information processing device capable of issuing instructions to change the first state of the vehicle, and a center capable of communicating with the vehicle and the information processing device, wherein the information processing device periodically transmits the last instructed first state to the vehicle to the center, and if there is a change in the second state of the vehicle, the vehicle transmits the changed second state to the center, and the center detects an abnormality in the vehicle based on the consistency between the first state and the second state.

The invention discloses a thermal management system, a vehicle, a vehicle control method, a vehicle control device, electronic equipment and a storage medium. The thermal management system comprises a compressor, a first vehicle exterior heat exchanger and a battery heat exchanger; the first end of the first outside-vehicle heat exchanger communicates with at least one of the compressor and the first end of the battery heat exchanger, and the second end of the first outside-vehicle heat exchanger is connected with the second end of the battery heat exchanger. Therefore, the thermal management system can actively cool the battery and also can naturally cool the battery, and the battery does not need to consume energy when being naturally cooled, so that the overall energy consumption of the thermal management system is reduced.

The present application relates to a kind of vehicle control method, device, electronic equipment and storage medium, vehicle control method includes: obtaining the driving state data of vehicle and user-selected soothing level information;According to driving state data, determine road surface water category, according to driving state data and road surface water category, determine road wet grade;If front road condition data of road in front of vehicle can be obtained from cloud, according to road wet grade, road surface water category and driving state data, determine the confidence of front road condition data;According to front road condition data, confidence and soothing level information, determine the set of anti-drowsy control parameters, according to the set of anti-drowsy control parameters Control vehicle operation.This application embodiment can realize the complete closed loop from initiative prediction to dynamic check to hierarchical execution, so that vehicle can obtain optimal drowsy soothing effect under different road conditions and different user needs, significantly reduce the sensory conflict caused by road condition prediction deviation or water burst.

This application relates to the field of vehicle technology, and particularly to a method and apparatus for lane-changing decision-making and delay compensation control based on predictive information. The method includes: acquiring traffic information collected by a roadside sensing unit; predicting traffic information of vehicles within the sensing range over a future period based on the traffic information, and constructing a multi-objective optimization problem of the target vehicle's future driving environment based on the predicted information; solving the multi-objective optimization problem to obtain the target vehicle's optimal expected speed and lane-changing decision time; and sending the expected speed and lane-changing decision time to the target vehicle. The target vehicle responds to the expected speed and lane-changing decision time using its own lane-changing safety judgment algorithm, lane-changing path planning algorithm, and delay compensation control algorithm to adjust its speed and change lanes in advance. This addresses the problems in related technologies, such as low matching degree between vehicle lane-changing planning and current traffic, and delays in the vehicle control system leading to poor control accuracy and stability, and low driving safety.

The application relates to the technical field of vehicle control, and provides a permanent magnet synchronous motor output torque calculation method, device and computer program product. The method comprises the following steps: acquiring three-phase phase current signals, a high-voltage bus voltage signal and three-phase bridge arm drive duty cycle signals; based on the high-voltage bus voltage signal and the drive duty cycle signal, three-phase phase voltage signals are calculated; based on a pre-calibrated delay time mapping table, a delay parameter is determined; the three-phase phase current signals and the three-phase phase voltage signals are subjected to delay processing by using the delay parameter; based on the synchronized phase current signals and the phase voltage signals, the instantaneous electric power of the motor is calculated; based on a pre-calibrated efficiency mapping table, a corresponding motor efficiency value is determined; based on the instantaneous electric power, the motor efficiency value and the motor rotating speed, the output torque of the motor is calculated. The application compensates for calculation errors caused by signal transmission path differences and motor nonlinear characteristics, and improves the calculation accuracy of the output torque.

This application relates to the field of vehicle control technology and discloses a predictive control method and system based on road surface adhesion coefficient. In this method, a cloud server acquires real-time information uploaded by vehicles on the road. The cloud server can combine the real-time information with historical information from each grid to form a road surface adhesion coefficient matrix. The cloud server sends the road surface adhesion coefficient matrix to the vehicle. Based on the road surface adhesion coefficient matrix, the vehicle's current position, and navigation path, the vehicle determines the predicted road surface adhesion coefficient value in its current direction of travel. Based on the predicted road surface adhesion coefficient value, the vehicle calculates the upper limit of its regenerative braking capacity and / or the upper limit of its driving torque, and then controls the vehicle accordingly. The beneficial effect is improved vehicle control efficiency on low-adhesion roads.

The embodiment of the invention provides a vehicle control method and device. The method includes presenting a graphical interface associated with the autonomous vehicle based on a message received from the autonomous vehicle, the graphical interface presenting environmental information associated with the autonomous vehicle and status information of the autonomous vehicle; providing a plurality of speed controls in the graphical interface, wherein the plurality of speed controls correspond to different speed control modes; and in response to selection of a target speed control of the plurality of speed control controls, sending a target instruction to the autonomous vehicle to trigger a control system of the autonomous vehicle to control the autonomous vehicle based on a target speed control mode corresponding to the target speed control. Based on the mode, the embodiment of the invention can control the autonomous vehicle more efficiently.

This application provides a mode switching control method, device, storage medium, and vehicle for a hybrid vehicle, belonging to the field of vehicle control technology. The method includes: acquiring the vehicle's current driving mode and driving status information; determining whether the vehicle is in a target operating condition based on the current driving mode and the driving status information; and, if the vehicle is determined to be in the target operating condition, controlling the vehicle to switch from the current driving mode to an idle electric four-wheel drive mode. This application embodiment can control the vehicle to enter the idle electric four-wheel drive mode when the vehicle is detected to be in the target operating condition. This not only ensures the vehicle's normal driving needs under the target operating condition but also effectively avoids abnormal engine start-stop phenomena, allowing the engine to quickly output torque and improving the driver's driving experience.

This application relates to the field of vehicle control technology, and provides a vehicle control method and vehicle terminal for a motion sickness relief mode. When the target vehicle is in motion sickness relief mode, this application not only reduces at least a portion of the gain ratio of the accelerator pedal signal to the motor output torque, suppressing the rate of change of acceleration during acceleration, but also allocates a portion of the deceleration generated by kinetic energy recovery as mechanical braking, suppressing the rate of change of acceleration during deceleration. Compared to limiting acceleration itself based on a fixed acceleration threshold, this application dynamically adjusts the motor output torque and the intensity of kinetic energy recovery to limit the impact of acceleration, thereby preventing abrupt changes in acceleration and making the acceleration change smoother, thus improving the relief effect for motion sickness sufferers.

The present invention provides a vehicle control device that can continue driving the motor and preventing secondary failures, even when the inverter fails, while protecting the motor coils. [Solution] The vehicle control device comprises a motor for vehicle travel driven by an n-phase (n is a natural number of 3 or more) alternating current, an inverter that drives the motor, an inverter abnormality determination unit that determines an abnormality in the inverter, and a drive system abnormality determination unit that determines an abnormality in the drive system including the motor and inverter when the inverter abnormality determination unit has determined an abnormality in the inverter and the rate of temperature change of at least one of the cables supplying power to each phase of the motor exceeds a threshold.