3142results about "Vehicle condition input parameters" patented technology

A system and method for electric vehicle operational optimization is disclosed. The system comprises a memory storing processor-executable instructions and a processor, communicably coupled with the memory. The system obtains input data and predict health and performance parameters. The system generates computer simulated instances which emulate a behavior and a performance of the electric vehicle. The system, further, validates the health and the performance parameters by simulating the computer simulated instances in a virtual environment. The system determines a behavior status, a performance status and a health status of the electric vehicle. Thereafter, the system determines abnormality associated with the electric vehicle, followed by determining action for rectifying the abnormality. Consequently, the system controls an operation by performing the determined action at the electric vehicle.

A dual-motor mixed-hybrid powertrain system, by performing pulse modulation control, i.e., series-hybrid intelligent start-stop control or parallel-hybrid intelligent power switching control, on the instantaneous power time-varying functions of an engine and a battery pack, can convert the surface working condition of an analog electric control engine into a simpler line working condition of a digital pulse control (DPC) engine, either a pre-determined high-state line working condition in the high-efficiency combustion area or a pre-determined non-combustion low-state line working condition with zero fuel consumption and zero pollutant emissions multiplexed in time. The traditional fixed one-to-one bidirectional mapping between an engine working condition and a vehicle working condition is converted into a dynamically adjustable many-to-many bidirectional mapping to achieve the full coverage of any overall vehicle working condition, achieving decoupling between a DPC engine working condition and the overall vehicle working condition and decoupling between software and hardware of a hybrid powertrain.

The proposed invention relates to methods for controlling energy consumption by a motor vehicle, and can be used in transportation industry. The technical problem to be solved by the claimed invention is to provide a method, a device, a system, a motor vehicle, and a computer-readable medium that do not possess the drawbacks of the prior art and thus make it possible to generate an accurate energy-efficient track for a motor vehicle that allows to reduce energy consumption by the motor vehicle moving along a portion of the route that contains a mandatory deceleration point, including portions of the route that are located in urban areas.

A management server system may obtain data associated with a vehicle. The management server system may obtain the data from a plurality of data sources associated with the vehicle. The data may include a plurality of subsets of data that each correspond to correspond to a particular driver assignment category. Each subset of data may identify a particular persona as a driver of a vehicle. The management server system may determine a driver of the vehicle based on each subset of data and a hierarchical plurality of driver assignment categories. Based on the determination of the driver of the vehicle, the management server system can dynamically map the driver to a particular event. The management server system may generate a user interface identifying the driver and the event.

This application discloses a method, system, and related equipment for intelligent energy management of new energy vehicles. Based on the vehicle's starting and ending points, at least one candidate energy-saving path is determined. The predicted energy consumption of the vehicle along at least one candidate energy-saving path is lower than that of other paths. The total energy consumption is predicted based on road condition information and energy consumption impact information for each path. In response to the selection of at least one candidate energy-saving path, a preset travel route is determined. The preset travel route includes multiple road segments, and the total energy consumption includes the energy consumption of each road segment. With the goal of minimizing fuel consumption along the preset travel route, the engine's operating state is controlled based on the initial state of charge (SOC) of the power battery in each road segment, the energy consumption of the road segment, and the vehicle's actual overall demand, ensuring the engine operates within its high-efficiency range. Using this application can reduce fuel consumption for users and improve the driving experience.

Trailer detection is provided. An autonomous vehicle can receive, from a time of flight sensor, an indication of a position of a wheel assembly of a trailer. The vehicle can determine a rotation of a rotatable coupler. The vehicle can determine a centerline distance from the rotatable coupler to the wheel assembly.

A powered balancing mobility device that can provide the user the ability to safely navigate expected environments of daily living including the ability to maneuver in confined spaces and to climb curbs, stairs, and other obstacles, and to travel safely and comfortably in vehicles. The mobility device can provide elevated, balanced travel.

The invention provides a vehicle speed adjusting method fusing road surface evenness and wheel data and related equipment, and relates to the field of intelligent control. The method comprises the following steps: acquiring a pavement image and point cloud data through monitoring equipment, determining pavement concave-convex height information and state parameters by combining the pavement image and the point cloud data, and inputting the pavement concave-convex height information and the state parameters into a pre-trained flatness evaluation model to obtain a pavement flatness grade. And when the road surface is in the uneven range, acquiring wheel data of the target vehicle, and inputting the road surface flatness grade and the wheel data into the jolting influence evaluation model to obtain jolting data. The vehicle bumping influence level is determined by combining vehicle-mounted sensor data, and then the standard vehicle speed value is determined, so that the current vehicle speed of the target vehicle is controlled, the vehicle speed is accurately adjusted according to the road surface and vehicle conditions, and the driving safety and comfort are improved.

The vehicle control device of the present invention acquires characteristics of a road condition in front of a traveling vehicle based on external information; acquires vehicle behavior control variables for controlling the behavior of the vehicle based on estimated state variables of the vehicle that are obtained based on the characteristics, and control variables concerning speed of the vehicle based on the external information; acquires trajectory tracking control variables for causing the vehicle to track the target trajectory based on the target trajectory on which the vehicle travels that are obtained based on the characteristics and the estimated state variables; and outputs the control commands for controlling the suspension device, steering device, and braking and driving device based on the vehicle behavior control variables and the trajectory tracking control variables. This improves travel stability of the vehicle on a road surface on which an irregularity such as ruts exists.

The invention discloses a chassis coordination control method and system based on tire side deviation state evaluation, and relates to the technical field of four-wheel steering four-wheel drive vehicle dynamics control. The method comprises the steps that an expected front wheel rotation angle is determined based on an expected steering wheel rotation angle input by a driver, and a front wheel rotation angle is determined; further determining a feed-forward front wheel steering angle, a feed-forward rear wheel steering angle and an additional yaw moment based on feed-forward control and feedback control, determining a first tire slip angle and a second tire slip angle based on a road adhesion coefficient, and further determining a wheel torque control weight, a feedback front wheel steering angle control weight and a feedback rear wheel steering angle control weight; and further determining a driving yaw moment, a feedback front wheel steering angle and a feedback rear wheel steering angle, determining a total longitudinal force based on an expected longitudinal acceleration input by a driver, and performing four-wheel torque distribution based on the total longitudinal force and the driving yaw moment to obtain a four-wheel driving torque. The driving stability of the vehicle under the limiting working condition can be improved.

Methods and apparatus to prevent trailer sway are disclosed. An example apparatus to prevent trailer sway of a trailer coupled to a vehicle includes prediction circuitry to predict, based on sensor data from one or more sensors of the vehicle, whether a trailer sway condition associated with the vehicle is likely to occur, and control activation circuitry to, in response to the prediction that the trailer sway is likely to occur, activate at least one vehicle control of the vehicle to prevent the trailer sway condition from occurring, the at least one vehicle control to include applying torque to at least one of one or more trailer wheels of the trailer or one or more vehicle wheels of the vehicle.

The invention relates to the technical field of electric vehicle control, in particular to an AI-based electric vehicle intelligent starting and acceleration control method and system. The method comprises the following steps: acquiring a driving log of a vehicle owner, performing intelligent vehicle optimization after starting, and constructing an intelligent starting mode selection strategy; physiological state data of a driver are obtained, state change evolution analysis is carried out, and a personalized driving portrait is constructed; holographic state sensing and vehicle virtual simulation are carried out, and a vehicle synchronous digital simulation model is constructed; radar feedback sensing information and a real-time monitoring image in front of a vehicle are collected, traffic situation prediction and vehicle scene prediction and perception are carried out, and a vehicle scene prediction and perception model is constructed. According to the method, the driving starting mode of the vehicle is intelligently selected, vehicle owner requirements and environment available power constraints are matched, and vehicle acceleration efficiency maximization and safety optimization are achieved.

A physical quantity detecting device (10) detects a plurality of different physical quantities on the basis of an output signal waveform. A strain sensor (3) as one sensor element outputs a sensor signal waveform (15) having a reference level (151), a positive level positively changing from the reference level (151), and a negative level negatively changing from the reference level (151). An estimating unit (4) estimates a first physical quantity corresponding to a peak value (152) of the positive level and a second physical quantity corresponding to a peak value (153) of the negative level on the basis of the sensor signal waveform (15) output by the strain sensor (3).

Systems and methods for navigating a host vehicle are disclosed. In one embodiment, at least one processing device may be programmed to receive an image representative of an environment of a host vehicle, determine a planned navigation action of the host vehicle, analyze the image to identify a target vehicle having a direction of travel toward the host vehicle, and transmit the target vehicle to the host vehicle. And determining a next state distance between the host vehicle and the target vehicle that would result from the planned navigation action being taken. The at least one processing device may further determine a stop distance of the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle, determine a stop distance of the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle, and performing a planned navigation action if the determined next state distance is greater than the sum of the stopping distances of the host vehicle and the target vehicle.

According to the method of estimating a maximum road friction coefficient, artificial braking or driving-related control is conducted and a maximum road friction coefficient is estimated based on a difference in wheel speeds between front and rear wheels, compensated for slip of tires.

The invention discloses a tire burst control method and device and a vehicle, and the method comprises the steps: obtaining the state information of the vehicle when a tire burst signal is received; the state information comprises an actual vehicle speed and an actual yaw velocity; according to the actual vehicle speed, actual basic correction torque is calculated; calculating an actual feedback correction torque according to the actual yaw velocity; and according to the actual basic correction torque and the actual feedback correction torque, performing weighted calculation on a target correction torque, and according to the target correction torque, controlling the vehicle. The phenomenon that deviation of the vehicle cannot be completely compensated or compensation is excessive can be avoided, so that deviation of the vehicle after tire burst is prevented, and the stability of the vehicle after tire burst is guaranteed.

The invention discloses a vehicle tire burst control method and system, a vehicle, control equipment and a storage medium, and relates to the technical field of vehicle safety control. The method mainly comprises the steps of determining the position of a tire burst wheel according to a vehicle tire burst signal, and identifying a driving scene according to vehicle state information; if the linear driving scene is recognized, acquiring tire braking force pressure according to the position of the flat tire wheel, calculating a yaw torque compensation value according to the tire braking force pressure, performing rear wheel steering adjustment, transferring a driving torque based on the position of the flat tire wheel, and performing vehicle body posture adjustment based on the position of the flat tire wheel; if the scene is recognized as the curve scene, controlling and changing the steering angle of the rear wheel based on the position of the flat tire wheel so as to adjust the yawing torque, transferring the driving torque based on the position of the flat tire wheel, and adjusting the posture of the vehicle body based on the position of the flat tire wheel. According to the vehicle tire burst control scheme, safer driving experience can be provided for the user, and the vehicle using experience and satisfaction degree of the user are improved.

A vehicle system includes a camera coupled to a controller. The controller includes at least one processor coupled to at least one memory device storing instructions that, when executed by the at least one processor, cause controller to perform operations including: receive data from the camera regarding at least one of an internal or an external condition of the vehicle system; determine that the data is indicative of a certain predefined condition; and adjust operation of a vehicle powertrain based on the determined certain predefined condition.

A new energy vehicle energy intelligent management method and system, and a related device. The method comprises: determining at least one candidate energy-saving path on the basis of a starting point and an ending point of a vehicle, wherein path-based vehicle energy consumption predicted on the basis of the at least one candidate energy-saving path is lower than path-based vehicle energy consumption predicted on the basis of other paths, and the path-based vehicle energy consumption is predicted on the basis of road condition information of each path and energy consumption impact information; in response to a selection operation on the at least one candidate energy-saving path, determining a preset travel path, wherein the preset travel path comprises a plurality of road sections, and the path-based vehicle energy consumption comprises road section-based vehicle energy consumption of the plurality of road sections; and by taking the minimization of fuel consumption along the preset travel path as an objective, controlling an operation state of an engine on the basis of an initial SOC of a power battery and the road section-based vehicle energy consumption at each road section and an actual vehicle demand of the vehicle, so that the engine is in an efficient operation range during operation.

A method is for improving a vehicle-dynamics-related stability of a utility vehicle, wherein the utility vehicle has a lift axle. The method includes: determining a current ground speed of the utility vehicle; determining a stability-critical speed of the utility vehicle; comparing the current ground speed with the stability-critical speed; determining a lift status of the lift axle of the utility vehicle; and lowering the lift axle of the utility vehicle if the lift status represents a raised lift axle and the current ground speed is greater than or equal to the stability-critical speed. A device is for improving a vehicle-dynamics-related stability of a utility vehicle.

Control method and system (99) of a vehicle (1) moving on a road surface, wherein the system comprises a detection module (2) for detecting in real time a respective hydroplaning intensity (HI) for each tyre (3) of the vehicle (1), an actuation device (9) connected to each wheel (7) of the vehicle (1) and a command and control unit (8) programmed and configured for performing the control method comprising:—comparing each respective hydroplaning intensity (HI) with a first threshold;—upon the occurrence of a starting condition such that the respective hydroplaning intensity (HI) of at least one tyre (3) reaches the first threshold, then:—calculating in real time a reference value (YRr) of a parameter representative of a lateral motion of the vehicle (1) as a function of a longitudinal speed (Vxc) and of a steering angle (STA) of the vehicle;—calculating in real time a corrective moment (Mz) as a function of the reference value (YRr) and of a current value (YRc) of the parameter detected in real time;—applying in real time to each wheel (7) a respective torque (Tr) calculated in real time as a function of the corrective moment (Mz) and of the hydroplaning intensity (HI) of the respective tyre (3).

Techniques for dividing a lane into a first virtual lane and a second virtual lane are described. A narrow track vehicle may determine that the narrow track vehicle is traversing a lane that is at least 10 feet wide. The narrow track vehicle may divide the lane into a first virtual lane and a second virtual lane and traverse one of the first virtual lane or the second virtual lane based at least in part on location (e.g., when traversing a highway lane, residential lane, etc.) and / or speed of traffic (e.g., when traffic is traveling at or below a threshold speed). In examples, the narrow track vehicle may traverse the environment in between a first lane and a second lane upon determining that a distance between a first object in the first lane and a second object in the second lane meets a threshold distance.

A system is operable for controlling a force applied on a trailer being towed by a vehicle is described to a desired force Fd. The trailer has brakes and an optional motor for providing a propelling force to the trailer. A force sensor senses fore-aft forces between the vehicle and trailer at all times while the trailer is being towed. A controller receives signals from the force sensor and is operatively connected to the trailer brakes and the motor. The system controls the force between a towing vehicle and a trailer to the desired force Fd, by any one of: (a) operating the brakes to apply a braking force to the trailer; (b) activating the motor to apply a propelling force to the trailer; and (c) operating the brakes and activating the motor to apply both a braking and a propelling force to the trailer.

The invention relates to the technical field of vehicle control, and discloses a vehicle tire monitoring method and system and electronic equipment. The method comprises the steps of obtaining tire information of a vehicle; if it is monitored that the tire comprises at least one of the following conditions, calculating a standardized value of the index under the current condition; wherein if it is determined that the tire pressure is abnormal or / and the tire pressure difference is abnormal, if it is determined that the tire temperature is abnormal or / and the tire temperature difference is abnormal, if it is determined that abrasion is abnormal, if it is determined that the slip rate is abnormal, if it is determined that the numerical value change between the tire pressure and the tire temperature is not in positive correlation, and if it is determined that the numerical value change between the tire pressure difference and the tire temperature difference is not in positive correlation, the slip rate is abnormal; if it is determined that the numerical change between the slip rate and the wear value is not positively correlated; performing weighted calculation according to the weight coefficient corresponding to the index and the standardized numerical value, and determining a comprehensive index; according to the tire state monitoring method and device, the tire state is monitored in an omnibearing mode, the traffic accident risk caused by the tire is avoided, and the driving safety is guaranteed.

Trailer detection is provided. A vehicle can determine a distance to a portion of the trailer from the time-of-flight sensor data. The vehicle can determine a doppler shift indicative of a speed of a wheel of a wheel assembly from the data. The vehicle can determine, based on the distance and the doppler shift, a wheelbase of the trailer.

Disclosed herein are an adhesion coefficient determination method and apparatus, and a vehicle, a medium and a program product. The method comprises: acquiring sensor data collected by at least one sensor of a vehicle; on the basis of the sensor data, determining travelling information of the vehicle, wherein the travelling information comprises at least one of the following: a slip rate, longitudinal stiffness, a tire longitudinal force, a tire lateral force, a tire vertical load, a front-axle lateral force and a rack force; on the basis of the travelling information, or the sensor data and the travelling information, determining at least one reference adhesion coefficient and a confidence level of each reference adhesion coefficient, wherein the at least one reference adhesion coefficient comprises at least one of the following: a steady-state adhesion coefficient, a dynamic adhesion coefficient, a longitudinal adhesion coefficient and a lateral adhesion coefficient; and on the basis of the at least one reference adhesion coefficient and the confidence level of each reference adhesion coefficient, determining a target adhesion coefficient of the vehicle and a confidence level of the target adhesion coefficient. The method in the embodiments of the present application improves the accuracy of adhesion coefficient determination.

Methods and systems are provided for a vehicle towing a trailer. In one embodiment, a method includes: receiving, by a processor, image data from one or more image sensors of the vehicle; determining, by the processor, a change in vehicle height based on the image data; determining, by the processor, at least one of a vehicle load and a trailer tongue load based on the change in vehicle height; and generating, by the processor, at least one of notification data and control data to control the vehicle based on the at least one of the vehicle load and the trailer tongue load.

A method includes identifying suspension stiffness data and suspension deflection data associated with corresponding distal ends of one or more axles of an autonomous vehicle (AV). The method further includes determining, based on the suspension deflection data and the suspension stiffness data, driving constraint data for traveling at least a portion of a route. The method further includes causing, based on the driving constraint data, performance of a corrective action associated with the AV during the traveling of the at least a portion of a route.

An electrified fire fighting vehicle includes a chassis, a cab, a body, a front axle, a rear axle, an engine, a battery pack, a pump system including a water pump, an electromagnetic device electrically coupled to the battery pack and mechanically coupled to at least one of the front axle or the rear axle, and a power divider coupled to the pump system, the engine, and the electromagnetic device.

A method for automated guidance of a vehicle along a specified setpoint trajectory at an actual speed, wherein the setpoint trajectory includes geometric trajectory variables, the method including ascertaining an actual deviation of the vehicle from the setpoint trajectory and outputting the ascertained actual deviation and generating manipulated variables such that the vehicle, in the case of automated control of a drive system and / or a braking system and / or a steering system of the vehicle, moves closer to the setpoint trajectory. The method also includes ascertaining whether an undesirable driving state is present when the vehicle moves closer to the setpoint trajectory, wherein the undesirable driving state is ascertained from the specified setpoint trajectory based on the geometric trajectory variable, and, if the presence of the undesirable driving state is identified, automatically controlling the vehicle based on generated stability variables and / or adapting the setpoint trajectory.