229results about "Other vehicle parameters" patented technology

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.

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.

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.

A vehicle acceleration control method, includes: obtaining a change rate of an accelerator pedal opening degree of an accelerator pedal and a remaining energy value of a vehicle in a racetrack mode; determining a target torque compensation value based on the change rate of the accelerator pedal opening degree and the remaining energy value of the vehicle; and controlling the vehicle to accelerate based on a sum of the target torque compensation value and a maximum output torque value.

The invention discloses a range extender control method. The method comprises the steps that a user demand intention and a vehicle working condition scene are obtained; identifying the intention complexity of the user demand intention; under the condition that the intention complexity is the first intention complexity, generating a first range extender control strategy based on the user demand intention; under the condition that the intention complexity is second intention complexity, a second range extender control strategy is generated based on the vehicle working condition scene and the user demand intention; and controlling the range extender according to the first range extender control strategy or the second range extender control strategy. According to the method, the user demand intention is acquired, the complexity of the user demand intention is identified, and the multi-level control strategy is dynamically generated in combination with the vehicle working condition scene, so that the problems of single control strategy and insufficient user interaction in the prior art are solved, and the method has the advantages of improving the flexibility and adaptability of the control strategy and meeting the personalized demand of the user.

The present invention relates to determination of a state of a vehicle on a road portion. The vehicle includes an Automated Driving System (ADS) feature. At first, map data associated with the road portion, positioning data indicating a pose of the vehicle on the road, and sensor data of the vehicle are obtained. Then, a plurality of filters for the road portion are initialized. Further, one or more sensor data point(s) in the obtained sensor data is associated to a corresponding map-element of the obtained map data to determine one or more normalized similarity score(s). Now, based on the determined one or more normalized similarity score(s), one or more multivariate time-series data are also determined and provided as input to a trained machine-learning algorithm. Then, one of the initialized filters is selected by the machine learning algorithm to indicate a current state of the vehicle on the road portion.

Disclosed herein are methods and systems to provide intelligent display for vehicles including a method that comprises determining data associated a road sign; retrieving driving data associated with a vehicle; generating, using the driving data and data associated with the road sign, a graphical overlay presenting a virtual object corresponding to the trajectory of the vehicle or data associated with the vehicle; and presenting on an electronic device associated with the vehicle, the graphical overlay while the electronic device is presenting an image of a surrounding of the vehicle, wherein the graphical overlay is superimposed upon an image of the road sign.

A communication device acquires schedule information in which a schedule of a user who uses a hybrid electric vehicle is recorded. The schedule information includes a traveling schedule for causing the hybrid electric vehicle to travel in a predetermined period. The predetermined period is a period from when fuel of an engine is refueled to a predetermined deterioration time. When a traveling distance in a long-distance traveling schedule is a first distance, an ECU increases a usage ratio of the engine in the predetermined period than when the traveling distance is a second distance that is longer than the first distance. The long-distance traveling schedule is a schedule included in the traveling schedule and in which the hybrid electric vehicle travels for a predetermined distance or longer.

Safe operation of vehicle controllers is described. In one or more implementations, a system includes a vehicle network, a plurality of edge devices in communication with the vehicle network and operable to implement vehicle operations, and a vehicle control system in communication with the vehicle network and having at least two processors configured to redundantly control the vehicle operations implemented by the edge devices. Each of the processors is operable to self-report a respective processor health to the vehicle network for enabling each edge device to independently arbitrate to be controlled by a healthiest processor.

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.

Safe operation of vehicle controllers is described. In one or more implementations, a system includes a vehicle network, a plurality of edge devices in communication with the vehicle network and operable to implement vehicle operations, and a vehicle control system in communication with the vehicle network and having at least two processors configured to redundantly control the vehicle operations implemented by the edge devices. Each of the processors is operable to self-report a respective processor health to the vehicle network for enabling each edge device to independently arbitrate to be controlled by a healthiest processor.

A damping control system for a vehicle having a suspension located between a plurality of ground engaging members and a vehicle frame includes at least one adjustable shock absorber having an adjustable damping profile.

The invention discloses a gearbox electromagnetic valve maintenance method, device and equipment and a readable storage medium, and belongs to the technical field of vehicles. The method comprises the steps that the current state of a gearbox electromagnetic valve of a vehicle is obtained; under the condition that the current state of the gearbox electromagnetic valve is a dormant state and the duration of the dormant state of the gearbox electromagnetic valve is not smaller than a first duration threshold value, the remaining oil amount of an oil tank of the vehicle and the mileage of the vehicle when the gearbox electromagnetic valve is in the dormant state are obtained; under the condition that the remaining oil quantity of an oil tank of the vehicle meets a first requirement and the driving mileage of the vehicle when a gearbox electromagnetic valve is in a dormant state meets a second requirement, an engine of the vehicle is controlled to be started, and a pulse type electromagnetic valve current control signal is output; the pulse type electromagnetic valve current control signal is used for driving a valve element of the gearbox electromagnetic valve to execute reciprocating motion, and the hydraulic disturbance effect generated by the reciprocating motion is used for cleaning the interior of the gearbox electromagnetic valve. And the maintenance effectiveness of the electromagnetic valve of the gearbox is improved.

The invention relates to a battery protection method and device of a hybrid power vehicle and the vehicle. The method comprises the steps that under the condition that the electric quantity of a power battery of the hybrid power vehicle is continuously reduced, the real-time remaining electric quantity of the power battery and vehicle parameters of the hybrid power vehicle are obtained; wherein the vehicle parameters at least comprise at least one of fuel tank liquid level information of the hybrid power vehicle, a vehicle state and a battery state of a power battery; determining a target electric quantity threshold value matched with the real-time residual electric quantity from a plurality of preset electric quantity threshold values, and determining a corresponding battery protection strategy according to the target electric quantity threshold value and the vehicle parameters; and executing the battery protection strategy to prevent the power battery of the hybrid vehicle from feeding. By adopting the method, power feeding of the power battery of the hybrid vehicle can be prevented.

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.

An automated driving system, a driving regulation method, and a driving regulation program that make it possible to set risk areas accurately and thereby achieve safe automated driving are provided. Included are a risk area setting unit 111 that identifies a risk type from field information on planning or operation, recorded in an operational information database 101 and an infrastructure information database 103, and that sets a predetermined area in a field area, as a risk area, on the basis of the risk type, and a vehicle route setting unit 117 that sets a traveling route for a vehicle 2 traveling in the field area, on the basis of vehicle position information of the vehicle 2 and the risk area set by the risk area setting unit 111.

The information processing device includes a control unit that specifies, for each preset setting area, a setting condition for improving the fuel efficiency of the vehicle by using the low-viscosity oil based on the data of the plurality of vehicles. When the data of the vehicle that does not use the low viscosity oil satisfies the setting condition in the setting area, the control unit executes a notification process for recommending the user of the vehicle that does not use the low viscosity oil to use the low viscosity oil.

The embodiment of the invention provides a vehicle control method and device, electronic equipment, a storage medium and a vehicle, and the method comprises the steps that a compasses U-turn instruction and vehicle parameters are obtained, and the compasses U-turn instruction comprises a rotating center wheel and a target rotating angle; responding to the compass turning-around instruction, and determining the braking torque of the rotating center wheel; determining the total torque demand of the vehicle according to the vehicle parameters; according to the total torque requirement, the driving torque of driving wheels is determined, and the driving wheels are the wheels except the rotating center wheel in the four wheels of the vehicle; the rotation center wheel is controlled according to the target rotation angle and the brake torque while the drive wheel is controlled according to the target rotation angle and the drive torque. The technical problem that in the prior art, for a front wheel non-independent drive vehicle and a rear wheel independent drive vehicle, an effective control strategy is lacked when the vehicle moving or parking requirement in a narrow space is met is solved.

To provide an automatic driving system, a driving arrangement method, and a driving arrangement program that can accurately set risk areas and enable safe automatic driving.SOLUTION: An automatic driving system includes: a risk area setting unit 111 that identifies risk types from planning or operational field information recorded in a business information database 101 and an infrastructure information database 103 and sets a predetermined area in a field area as a risk area based on the risk type; and a vehicle route setting unit 117 that sets a travel route for a vehicle 2 based on vehicle location information of the vehicle 2 traveling in the field area and the risk area set by the risk area setting unit 111.SELECTED DRAWING: Figure 2

Aspects of the present invention relate to a speed control system (15) for a vehicle (10), to a method and to a vehicle (10). The system causes the vehicle (10) to drive at a target speed value. The s

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.

The application discloses a parallel driving assistance method and device, a parallel driving system and electronic equipment. The parallel driving assistance method comprises the following steps: receiving self-vehicle data uploaded by an automatic driving vehicle, and determining a current state of a cockpit end, wherein the self-vehicle data comprises self-vehicle state data; if the cockpit end is in a monitoring state, obtaining a control instruction of a simulation control device according to the self-vehicle state data; and reversely controlling the simulation control device according to the control instruction of the simulation control device, so that the state of the simulation control device is synchronized with the state of the vehicle. The technical scheme of the application synchronizes the state of the simulation control device with the state of the vehicle in the monitoring state of the cockpit end, thereby avoiding state mutation of the controlled vehicle under the action of a control vehicle instruction when the cockpit switches from the monitoring state to a remote control state, and causing a safety hazard.

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

To prevent brake fade while reducing uncomfortable feeling of a driver.SOLUTION: In a vehicle control system, while a friction brake is not operated, driving force of a vehicle is restricted on the basis of a brake temperature that is a temperature of the friction brake. Thus compared to when traveling speed of the vehicle is restricted, uncomfortable feeling of a driver can be reduced. When the friction brake is operated next, an overheating state of the friction brake can be prevented so as to prevent generation of brake fade.SELECTED DRAWING: Figure 2

The present invention provides a slip angle estimation method for autonomous driving, comprising: estimating the slip angle when a vehicle enters autonomous driving and its speed exceeds a threshold; obtaining the vehicle's speed, turning radius, and vehicle parameters; calculating the slip angle in real time based on the speed, turning radius, and vehicle parameters; performing a rationality check on the slip angle based on the slip angle and the vehicle's current state; performing lateral control compensation based on the slip angle if the check passes; and not performing lateral control compensation if the check fails. The present invention estimates the slip angle in real time while driving, then performs a rationality check on the estimated real-time slip angle, and performs real-time compensation on slip angles that pass the check, making dynamic control for autonomous driving more precise and safe.

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.

The invention relates to an in-vehicle tea table control method and device, electronic equipment and a vehicle, and is applied to the field of vehicle control technology application. The method for controlling the tea table in the vehicle comprises the steps that in the driving process of the vehicle, the road condition in front of the driving of the vehicle can be predicted through an obtained real-time road condition picture and / or vehicle navigation information, and if the corresponding road condition prediction result is that the bumping intensity is larger than a preset threshold value, namely the vehicle is about to bump, the tea table in the vehicle is controlled. If yes, work control is conducted on the tea table in the vehicle according to the internal information, so that the bumping condition is predicted in combination with the real-time road condition and the navigation information, intelligent control over the tea table in the vehicle and early warning are achieved, the amount of spilled tea water caused by road bumping is reduced, and / or the degree of scalding of passengers caused by road bumping is reduced, and the user experience is improved.

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.