100results about "Other vehicle parameters" patented technology

The invention provides a lateral movement sensing method and a vehicle, the method is applied to the technical field of vehicle control, and the method comprises the steps that a tire slip angle value at the current moment is obtained in response to a target calculation instruction of the vehicle; calculating an actual lateral force value at the current moment based on the tire slip angle value and the current wheel slip rate of the vehicle; and calculating the actual lateral motion acceleration of the vehicle according to the actual lateral force value, and evaluating the axle load transfer amount in the vehicle steering process according to the actual lateral motion acceleration. According to the method, the actual lateral force can be calculated in real time according to the tire slip angle and the wheel slip rate in various running states of the vehicle, then the actual lateral motion acceleration of the vehicle is accurately output, different working conditions can be adapted, and the real-time performance and accuracy of vehicle dynamics control are improved.

The invention relates to a method for assisting with driving a motor vehicle, comprising a step (E3) of generating a control response (Rep1) to be made with respect to a current situation, and a step (E4) of sending a command (K1) to an actuator in order to control the vehicle (10). In accordance with an item of quality information regarding the result of the command, the method further comprises a step (E5) of generating, by reinforcement learning, a new control response (Rep2), said new control response (Rep2) being optimised with respect to the current situation.

A control method of mixed traffic flow on freeway ramp based on controllable connected and autonomous vehicles (CAVs) is provided. A ramp is divided into a normal driving section, a vehicle platoon formation section and an accelerating and merging section. A vehicle platoon is formed by a leading CAV and human-driven vehicles (HDVs). Time interval [tmin, tmax] for the vehicle platoon to completely reach the merging point S is calculated. CAVs on the main lane and ramp are cooperatively controlled, and a merging gap is reserved for the ramp vehicle platoon. The vehicle platoon is allowed to accelerate and merge into the main lane. By means of the Internet-of-Vehicle (IoV) technology, the traffic situation on the main lane and downstream merging zone can be obtained in advance, and speeds of the CAVs are cooperatively controlled to lead the ramp vehicles to safely merge into the main lane.

A method for powerhop identification and mitigation includes receiving sensor data of a vehicle, such as wheel speed; determining a wheel jerk characteristics of the vehicle based on the wheel speed; determining a ride height of the vehicle; determining whether the vehicle is experiencing powerhop based on the wheel jerk characteristics and the ride height of the vehicle; and in response to determining that the vehicle is experiencing powerhop, adjusting a torque of the vehicle to mitigate the powerhop.

To recommend a user of a vehicle for which fuel consumption is increased by use of a low-viscosity oil to use the low-viscosity oil.SOLUTION: An information processing device includes a control unit that specifies a setting condition under which fuel consumption of a vehicle is increased by use of a low-viscosity oil based on data of a plurality of vehicles for each setting area that is preliminarily set. When the data of a vehicle which does not use a low-viscosity oil satisfies the setting condition in the setting area, the control unit executes notification processing for recommending a user of the vehicle which does not use the low-viscosity oil to use the low-viscosity oil.SELECTED DRAWING: Figure 1

The invention provides a driving mode switching method and a vehicle, and relates to the technical field of intelligent cabins. According to the method, driving state parameters comprise road condition parameters, driving parameters, environment parameters and the like, and self state parameters comprise physiological parameters and driving behavior parameters. And when the switching condition of the driving mode is met, determining a target driving mode based on the driving state parameter and the self state parameter. Therefore, all factors influencing the driving mode can be covered, the accuracy of the target driving mode is improved, and the switched target driving mode is enabled to be matched with an actual driving demand. The energy complementing coefficient is determined based on the residual energy and the energy complementing distance, and the urgency degree of vehicle energy complementing can be accurately reflected. And the mode parameters are adjusted according to the energy complementing coefficient, so that the vehicle control strategy can meet the actual driving requirement and meanwhile give consideration to energy management. According to the scheme, the accurate target driving mode and the corresponding mode parameters can be determined, and the reliability and continuity of vehicle driving are guaranteed.

A vehicle acceleration control method, comprising: in a racetrack mode, acquiring an accelerator pedal opening degree change rate and a vehicle remaining energy value; determining a target torque compensation value according to the accelerator pedal opening degree change rate and the vehicle remaining energy value; and controlling acceleration of a vehicle according to the sum of the target torque compensation value and the maximum output torque value. The vehicle acceleration control method can meet an emergency acceleration requirement of a driver, so that the driver experiences the thrill of high-performance driving. Further provided are a vehicle implementing the vehicle acceleration control method, and a computer storage medium.

In a cargo compartment door open driving warning method and device for providing an open driving warning for a door of a cargo compartment mounted for cargo loading in a purpose built vehicle (PBV), the cargo compartment door open driving warning method includes: determining whether the vehicle is a cargo vehicle; in response that the processor concludes the vehicle is the cargo vehicle, activating a door open driving warning mode; setting the door open driving warning mode to one of a plurality of predetermined operation modes; detecting a door opening of the cargo compartment; outputting a warning alarm regardless of a speed of the vehicle; determining whether the speed of the vehicle exceeds a predetermined reference speed; and outputting the warning alarm when the speed of the vehicle exceeds the predetermined reference speed.

The present invention relates to systems and methods for controlling an electronic limited slip differential and an active aerodynamic actuator on a vehicle. A system includes a primary control module, a stability state module, and a supervisory control module. The primary control module is configured to determine at least one control action for at least one of an electronic limited slip differential and an aerodynamic actuator of a vehicle based on a driver command. The stability state module is configured to determine whether at least one component of the vehicle is stable or unstable based on input from sensors on the vehicle. The at least one component includes at least one of a vehicle body, a front axle, a rear axle, a front wheel, and a rear wheel. The supervisory control module is configured to adjust the at least one control action when the at least one component is unstable.

A cooperative adaptive cruise control (CACC) system acquires a driving pattern of a target vehicle and variably provides an inter-vehicle distance and a responsible speed level of a subject vehicle that are followed by the CACC system based on the driving pattern. The CACC system includes a communication unit receiving vehicle information and road information of a region in which the subject vehicle travels; an information collection unit collecting driving information of a forward vehicle, vehicle information of the subject vehicle, and the road information; and a control unit controlling the inter-vehicle distance and the responsible speed level of the CACC system based on the driving pattern of the target vehicle according to generated control information.

An apparatus for controlling a vehicle includes a battery controller, a driving controller, and a notification device, wherein the battery controller may obtain state information of a battery, calculate remaining energy of the battery, and determine whether energy of the battery is excessively consumed, and the driving controller may obtain the remaining energy and route information, calculate a remaining driving distance, and determine a fuel efficiency deterioration section.

Control device for operating a road-coupled hybrid vehicle with - a first drive unit assigned to a first axle (VA), wherein the first drive unit comprises an electric motor (1) and an automatically switchable two-speed transmission (7) cooperating with the electric motor (1), - a second drive unit assigned to a second axle (HA), wherein the second drive unit comprises an internal combustion engine (3) and a further transmission (4) cooperating with the internal combustion engine (3), - a driver-operated selector (Max-E-Drive button) for manually switching between an electric operating mode (E-mode) and an automatic operating mode (A-mode), and - at least one electronic control unit (5, 8) for controlling the drive units at least partially dependent on the operation of the selector device (Max-E-Drive button), wherein the at least one control unit (5; 8) has a function module (GS-E) and is thus designed in such a way that ◯ a change between first gear (G1) and second gear (G2) can be initiated at least depending on the operation of the selector device (Max-E-Drive button), and / or o a gear change from second gear (G2) to first gear (G1) can be initiated if at least one of the specified conditions is met: ▪ if, during forward driving, the driver has operated the selector (Max-E-Drive button) to activate E-mode and the vehicle speed (v) is in a defined lower speed range (0 <v<120 km / h) liegt oder ▪ if, after a reverse drive in which the driver operated the selector device (Max-E-Drive) to switch on the E-mode, a forward drive is initiated again or ▪ when a “fuel tank empty” signal (T0) is present, and / or ◯ a gear change from first gear (G1) to second gear (G2) can be initiated if at least one of the specified conditions is met: ▪ when the driver activates a kick-down switch (KD) from the activated E-mode or ▪ if the driver selects a sport mode (S) from the activated E-mode or ▪ when the hybrid vehicle is switched off or restarted or ▪ when the electrical energy storage device for the operation of the electric motor (1) has reached a defined maximum permissible discharge.

The present application relates to the field of agricultural machinery control technology, and particularly relates to a hybrid power tractor intelligent power distribution method based on multi-domain joint control, comprising the following steps: S1, collecting power domain, chassis domain and operation domain data of the hybrid power tractor, and constructing a multi-domain perception graph reflecting current working condition requirements; S2, based on the multi-domain perception graph and power data, fusing operation energy-saving priority and traction load, and constructing a multi-source power supply and demand mapping model; S3, according to the supply and demand mapping model, selecting an optimal driving mode, combining the efficiency, energy and thermal load of each power source, outputting driving switching logic and power distribution instructions, and realizing intelligent power scheduling. The present application realizes intelligent driving mode switching and efficient power distribution of the hybrid power tractor under different working conditions, and improves operation energy efficiency and system response capability.

A cooperative adaptive cruise control (CACC) system acquires a driving pattern of a target vehicle and variably provides an inter-vehicle distance and a responsible speed level of a subject vehicle that are followed by the CACC system based on the driving pattern. The CACC system includes a communication unit receiving vehicle information and road information of a region in which the subject vehicle travels; an information collection unit collecting driving information of a forward vehicle, vehicle information of the subject vehicle, and the road information; and a control unit controlling the inter-vehicle distance and the responsible speed level of the CACC system based on the driving pattern of the target vehicle according to generated control information.

Extends the driving range through vehicle maintenance control. [Solution] When the fuel level in the fuel tank falls below a lower limit, the control system initiates a driving maintenance control that disables the hybrid mode and executes the motor mode. If the State of Charge (SOC) of the energy storage device falls to a driving termination threshold while the driving maintenance control is being executed, the control system sets a driving failure flag and terminates the driving maintenance control. When the driving failure flag is set and the fuel level exceeds the lower limit due to refueling, and the driver performs a start operation to begin driving, the control system starts the engine and initiates the hybrid mode.

A system includes a controller coupled an engine. The controller is configured to receive a first well to wheel emissions value and a second well to wheel emissions value. The controller is configured to compare the first well to wheel emissions value to a first threshold and a second threshold. The controller is configured to implement one or more aftertreatment controls comprising at least one of: causing a reductant delivery system to increase an amount of reductant provided to an aftertreatment system coupled to the engine, responsive to determining that the first well to wheel emissions value is at or above the first threshold, or causing the reductant delivery system to decrease the amount of reductant provided to the aftertreatment system, responsive to determining that the first well to wheel emissions value is at or below the second threshold.

A computer-implemented method for reducing a lateral drift of a heavy-duty vehicle due to a road bank angle, where the heavy-duty vehicle is associated with a non-zero understeer / oversteer gradient. The method comprises obtaining a road bank angle of a road section the heavy-duty vehicle is about to traverse; obtaining a vehicle model indicative of a vehicle motion response to the road bank angle, where the vehicle model includes the understeer / oversteer gradient; determining, based on the road bank angle and the vehicle model, a first compensation torque for reducing the lateral drift of the heavy-duty vehicle at the road section; and applying the first compensation torque across different wheels of the heavy-duty vehicle to reduce the lateral drift of the heavy-duty vehicle due to the road bank angle.

A safety system (200) for a vehicle (100) is provided. The safety system (200) may include one or more processors (102). The one or more processors (102) may be configured to control a vehicle (100) to operate in accordance with the predefined stored driving model parameters, to detect vehicle operation data during the operation of the vehicle (100), to determine whether to change predefined driving model parameters based on the detected vehicle operation data and the driving model parameters, to change the driving model parameters to changed driving model parameters, and to control the vehicle (100) to operate in accordance with the changed driving model parameters.

A method for estimating a longitudinal force difference ∆Fx acting on steered axle (102) wheels (104, 105) of a vehicle (1), the method comprising obtaining data from the vehicle (1) related to an applied steering torque Msteer associated with the steered axle wheels (104, 105), obtaining a scrub radius value rs associated with the steered axle wheels (104, 105), and estimating the longitudinal force difference ∆Fx, based on the obtained data and on the scrub radius rs , as proportional to the applied steering torque Msteer and as inversely proportional to the scrub radius rs

The invention relates to an oil quantity display method, system and device of a hybrid vehicle, and relates to the technical field of vehicles. The method comprises the following steps: acquiring oil quantity value accuracy displayed by an instrument panel of a vehicle and preset vehicle operation data; under the condition that the accuracy of the oil quantity value is lower than the preset accuracy and the vehicle operation data represents that the vehicle does not prohibit oil quantity correction, the current actual oil quantity of the vehicle is determined on the basis of at least two of the current oil quantity sampling value, the oil tank bottom oil value, the initial oil quantity value when the vehicle is powered on and the oil injection quantity accumulated value after the vehicle is powered on; updating a fuel quantity value displayed by an instrument panel based on the current actual fuel quantity; by means of the method, error correction of the remaining oil quantity value displayed on the instrument panel of the vehicle is achieved, the accuracy of the remaining oil quantity displayed on the instrument panel can be improved, and therefore the endurance anxiety of a user in the vehicle using process can be reduced.

A computer-implemented method for predicting fuel consumption efficiency. The method can include receiving vehicle telematics data from a client device. The method can also include analyzing historical trip data including past commute patterns and vehicle route data based on the vehicle telematics data. The method can further include analyzing, using a trained machine learning model, the vehicle telematics data to determine one or more past user driving features. The method can additional include receiving at least one of traffic congestion information, terrain information, or weather condition information for one or more future vehicle trips. The method can also include predicting, using the trained machine learning model, a future fuel consumption efficiency of the user during a predetermined future period of time. The method can further include transmitting the future fuel consumption efficiency, as predicted, for one or more routes to the client device for display. Other embodiments are described.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

A battery maintenance system for a vehicle, including a battery mounted to the vehicle, the battery having a charge level, an electric motor connected to a ground engaging member of the vehicle, a hybrid power source mounted to the vehicle, and configured, at least in part, to provide electric power with the battery to power the electric motor, and a control module mounted to the vehicle, the control module configured to probe the battery when the vehicle is in a sleep state, determine whether the charge level of the battery is above a minimum level, and if not, activate the hybrid power source to deliver electrical power to the battery at least until the charge level of the battery is above the minimum level.

A vehicle includes a battery (110), one or more fuel tanks (125), and a controller (140). The controller (140) performs operations including: receiving data indicative of a location of a refueling station relative to a current location of the vehicle; receiving data indicative of a state of charge of the battery (110); receiving data indicative of a fuel level of each fuel tank (125); determining an amount of energy to arrive at the refueling station from the current location; based on the location of the refueling station, the state of charge of the battery (110), the fuel level of at least one of the one or more fuel tanks (125), and the determined amount of energy, selecting at least one fuel tank (125) to refill; and preconditioning the selected at least one fuel tank (125) by converting fuel from the selected at least one fuel tank (125) from a first form of energy to a second form of energy.

Vehicle control device (50) performing a driving control that controls the driving of its own vehicle (10) in order to enable the own vehicle to follow a vehicle driving ahead of it, with an environmental prediction unit (33) that predicts whether a change in impairment has occurred in an environment around the own vehicle, wherein the change in impairment is likely to have an adverse effect on the fuel economy of the own vehicle, and an acceleration control unit (32) for performing a prediction control which makes it possible to limit the acceleration of the vehicle itself when the environment prediction unit predicts that the impairment change in the environment has occurred, wherein The driving control system is configured to control the acceleration and deceleration of the vehicle so that the vehicle follows the vehicle in front, and the driving control system is configured to control the deceleration of the vehicle at a first deceleration rate adjustable by the driving control system. The acceleration control unit is configured to predict that the impairment change has occurred in the environment around the vehicle when the environment prediction unit predicts that the impairment change is a deceleration requirement change in the environment, where the deceleration requirement change is necessary to decelerate the vehicle, and Executing a deceleration control as a predictive control that decelerates the own vehicle at a predetermined second deceleration rate when the environmental prediction unit predicts that the impairment change in the environment has occurred, where the second deceleration rate is lower than the first deceleration rate. The environmental prediction unit, based on a first index for the fuel efficiency of the vehicle and a second index for the vehicle's performance relative to the vehicle in front, predicts whether the change in environmental conditions has occurred. The first index for the fuel efficiency of one's own vehicle contains a predicted value for braking energy or a predicted value for fuel efficiency, The predicted value of the braking energy represents a value of the braking energy whose generation is predicted based on a deceleration of the vehicle by the driving control system during a first predetermined time period from a current time to a predetermined first future time, and the second index for the vehicle's subsequent performance represents a deviation amount of a position of the vehicle or a deviation amount of a speed of the vehicle or the sum of deviations in the position of the vehicle from ideal driving, based on the vehicle control system, during a second predetermined time period from the current time to a predetermined second future time or The sum of deviations in the speed of the vehicle from ideal driving, based on the driving control, during the second predetermined time period from the current time to the predetermined second future time.

The application discloses an automatic driving control method and device, a storage medium and a vehicle. The method comprises the following steps: obtaining target road information, wherein the target road information is used to represent the road environment within a preset distance in front of a target vehicle; determining a driving control strategy corresponding to a target road based on the target road information; determining a target fuel saving value of the target vehicle based on a first fuel consumption value and a second fuel consumption value of the target vehicle, wherein the first fuel consumption value is a fuel consumption value generated when the target vehicle is driven by using the driving control strategy, and the second fuel consumption value is a fuel consumption value generated when the target vehicle is driven without using the driving control strategy; and in response to the target fuel saving value of the target vehicle being greater than a preset threshold, controlling the target vehicle to drive on the target road by using the driving control strategy. The application solves the technical problem of low fuel economy of the vehicle caused by the lack of predictability of the fuel consumption control method in the related art.

Provided is a control apparatus for vehicle that improves operability for a driver. A control apparatus for vehicle switches the vehicle to a freewheeling mode in which power generated by an engine is not transmitted to drive shafts. The control apparatus for vehicle includes: a motor; a battery; friction brake equipment that generates frictional braking force on the vehicle; a temperature sensor that acquires temperature of the friction brake equipment; and a determiner that assesses the temperature of the friction brake equipment acquired by the temperature sensor. The friction brake equipment generates the friction braking force when the battery is fully charged. The freewheeling mode is deactivated in a case where the temperature of the friction brake equipment exceeds a predetermined temperature while the battery is fully charged and the vehicle is in the freewheeling mode.

The invention discloses a vehicle stability judgment method considering dynamic centroid and road alignment coupling, and relates to the technical field of vehicle active safety control. The method comprises the following steps: constructing an input state quantity of a vehicle dynamics system; a parameter identification model is established, and the whole vehicle mass center height of the vehicle is estimated in real time; constructing a road geometric decoupling observer, and separating a slope angle and a pavement inclination angle of the current pavement from inertia measurement information; calculating an energy-based dynamic rolling stability index; determining a transverse stability boundary by integrating the pavement adhesion condition and the pavement geometric constraint; and a dynamic safety envelope surface is constructed according to the dynamic rolling stability index and the transverse stability boundary, and the vehicle stability is judged based on the envelope surface. According to the method, the vehicle load change and the road linear interference are decoupled in real time, so that the self-adaptive dynamic adjustment of the stability judgment boundary is realized, and the identification precision of the vehicle state parameters and the robustness of stability judgment under the variable load and complex road geometric working conditions are effectively improved.

The present invention releases to a system and a method for dynamically improving a vehicle diagnostic system in the vehicle in a simple way. The system comprises at least one vehicle. The vehicle comprises an input unit designed to receive an input with respect to a vehicle error, and a control unit designed to create a snapshot of the electrical and / or electronic vehicle components after said input has been received by means of the input unit. The vehicle comprises a feedback unit designed to capture feedback regarding the vehicle error. The capturing of the feedback comprises organizing the feedback in a predefined problem description structure. The feedback unit is designed to process the feedback and to derive a degree of severity of a problem from the feedback. The captured feedback is integrated into the snapshot. The vehicle comprises a communication unit designed to transmit the created snapshot to a back end.