41results about How to "Reduce driving burden" patented technology

The invention relates to a vehicle speed control method for a wheel hub motor-driven vehicle, and belongs to the technical field of automobiles. An input end is arranged in a finished automobile controller and is connected with a position sensor of a vehicle accelerator pedal via signals, is connected with a wheel speed sensor via signals, or is replaced with a motor rotating speed signal which is fed back by a motor controller; and a vehicle speed control module is arranged inside the finished automobile controller. The module calculates an actual vehicle speed by using the speed of four wheels, then calculates the difference value between the actual vehicle speed and the target vehicle speed, and inputs the difference value into a PID controller; the PID controller outputs target torque of a drive motor, thus, the output torque and the rotating speed of the motor are controlled by the accelerator pedal, and the drive motor is controlled in a power control manner. The finished automobile controller also estimates the road resistance when the vehicle moves at a constant speed according to the finished automobile parameter, so as to ensure that the vehicle runs at the constant speed when reaching the target vehicle speed. According to the method, the electronic differential function of the wheel hub motor-driven vehicle is achieved in a relatively simple manner.

A vehicle navigation system and method. The system includes a unit located in a vehicle and coupled to a first network, a traffic information center coupled to a second network, and a server coupled to the first and second networks. A trip plan is generated according to navigation information, vehicle coordinates and trip request information received from the unit, and road information received from the traffic information center. The trip plan is sent to the unit for presentation. The trip plan includes trip overview information and voice prompts associated with one or more landmarks. A trip plan may be a tourist trip plan.

The invention, which belongs to the field of intelligent transportation, relates to a driving permission transferring method in alternate human-machine joint driving. The method comprises: dimension reduction is carried out on multiple factors like a current driving environment, the state of a vehicle, and the state of a driver and a key factor affecting current driving is extracted; situation assessment is carried out on the extracted factor and whether driving permission needs to be transferred is determined; driving abilities of an automatic driving system and the driver are estimated synchronously to determine whether to carry out driving permission transferring. Therefore, the safety of the alternate human-machine cooperative driving is guaranteed; and the foundation is laid for improving the performance of the intelligent transportation system. While the driving burden of the driver is reduced, the safety of driving is improved and occurrence of accidents is reduced, so that theperformances of the intelligent transportation system are enhanced comprehensively.

A vehicle operator assisting apparatus is configured to assist an operator of an own vehicle by displaying an image of a virtual preceding vehicle visually recognizable by the operator as if the virtual preceding vehicle was running in front of said own vehicle in a running state. The assisting apparatus comprises: a history data base storing a driving history of said operator; a virtual preceding vehicle control portion determining a running state of said virtual proceeding vehicle based on said driving history generating portion generating a relationship between a distance between said own vehicle and an actual preceding vehicle, and a running speed of said own vehicle, and storing the relationship in said history database. Said virtual preceding vehicle control portion includes a driving characteristics extracting portion determining a distance between said own vehicle and said virtual preceding vehicle based on said relationship.

The invention discloses a method for optimizing speed of a highway heavy truck. The method comprises the following steps: establishing a longitudinal kinetic model of a vehicle, establishing an engine model of the vehicle, and designing a nonlinear model predication controller. A model predication control strategy is adopted, the running fuel economy of the highway heavy truck and restraint of a physical execution mechanism are taken into consideration, a nonlinear model predication control method is applied for optimization so as to obtain the optimal engine torque under current-stage road information, so that the vehicle speed with optimal fuel economy is obtained; according to the requirement of a driver on freight timeliness, the efficiency coefficient of the nonlinear model predication controller is set, so that the relation between the freight timeliness and the fuel economy is balanced, not only can the fuel consumption of the highway heavy truck be effectively reduced, but also the freight timeliness can be ensured, energy consumption is reduced, and emission of greenhouse gases is reduced.

An embodiment of the invention relates to the technical field of electric vehicle charging, The invention discloses an automatic locating charging method and a charging system of an electric vehicle.The method comprises the following steps: when detecting that the current electric quantity of the electric vehicle is lower than a preset electric quantity threshold, the electric vehicle obtains theposition information of a target idle charging pile which is closest to the current vehicle position from the position information of the idle charging pile searched by a cloud-end big data system; According to the position information of the target idle charging pile, The electric vehicle travels to the charging position of the target idle charging stake, opens the charging port so that the target idle charging stake establishes a charging connection between the automatic charging robot arm and the charging port, charges the electric vehicle, and discharges the charging connection between the automatic charging robot arm and the charging port when it is detected that the charging of the electric vehicle is completed; By closing the charging port of the electric vehicle and driving out ofthe charging space of the target idle charging pile, the manual operation of charging the electric vehicle can be reduced and the charging efficiency can be improved.

The invention discloses a distributed driving vehicle steering stability control system and a control method thereof. A whole vehicle system outputs a mass center slip angle beta and a mass center slip angle speed yaw velocity omega z to a stability judgment module according to input vehicle motion state parameters; the vehicle longitudinal speed vx, the front wheel rotation angle delta f and the road adhesion coefficient mu are outputted to an ideal state module; the ideal state module calculates and outputs omega exp and beta exp to a beta omega joint controller; whether the vehicle is stable or not based on the yaw velocity threshold value and the stability index is judged; in an unstable state, the beta omega combined controller performs sliding mode control to output additional yawing moments delta M beta and delta M omega; a joint coefficient distribution module distributes a control proportion according to the stability index to obtain a weighted additional yawing moment delta M; the torque distribution module distributes the delta M to each wheel through a dynamic load distribution algorithm; stability of the vehicle body can be accurately judged under different working conditions, so the control proportion is reasonably distributed, and control efficiency of the controller is improved.

The invention discloses an automatic following system comprising an information transmit-receive mobile terminal, a position information processing device, a wireless signal transmit-receive device, aGPS positioning antenna, a mobile differential device and a GPS direction antenna. According to the automatic following system, the rear vehicle is enabled to perform automatic following according tothe track data transmitted by the front vehicle in real time through the information transmit-receive mobile terminal, the hands of the rear vehicle driver can be effectively released when two or more vehicles are driven on the same route simultaneously and repeated driving operation of the rear vehicle driver on the route can be reduced so that the rear vehicle is enabled to perform automatic driving according to the driving tracks of the front vehicle and the driving burden of the driver can be reduced and group traveling is enabled to be more convenient and easier.

The invention discloses a human-computer hybrid enhanced intelligent driving system and an electric car. The system comprises a plurality of sensors disposed on the car, an information processor connected with the plurality of sensors, a human-computer interactive display connected with the information processor, a human intelligent controller connected with the human-computer interactive display,an artificial intelligent controller connected with the information processor and the human intelligent controller respectively, and a human-computer hybrid enhanced intelligent controller connectedwith the information processor, the human intelligent controller and the artificial intelligent controller respectively. The human-computer hybrid enhanced intelligent driving system combines the advantages of an unmanned driving system and a manned driving system, depends on the control of the computer when coping with general road conditions to reduce the driving burden on a driver and depends on decisions of the driver when coping with complex road conditions. The reliability of the system for coping with complex road problems is improved, and the artificial intelligent controller has the ability of learning making decisions from the human driver.

The present invention relates to the field of automatic driving, and in particular to an automatic driving path processing method. The method includes: obtaining one or more preset paths from a startpoint to an end point of navigation generation. The method further includes: according to an automatic driving support situation on the preset path, grading automatic driving intervals on the preset path; performing grade differentiation identifying on the automatic driving intervals of different levels on the navigation interface for a user to select; and obtaining a selection of the user for theautomatic driving interval, and making a reminder according to a position relationship between the vehicle and the automobile driving interval selected by the user. An automatic driving path processing device is further provided. Embodiments of the present invention are applicable to navigation path planning, can reduce a driving burden, and help to improve the user's love of and dependence on anautomatic driving system.

In a monitoring system of a power wheelchair (low-speed mobility vehicle) and an automobile (vehicle of different type) having a remote monitoring device connected to them through a first communicator, each of the wheelchair and automobile includes a first transmitter transmitting location data to the remote monitoring device through a first communicator, and the remote monitoring device calculates an inter-vehicle distance between the wheelchair and automobile based on the location data and transmits an approaching signal indicating that they are approaching each other when the inter-vehicle distance is equal to or less than a first predetermined value, thereby reducing the driving burden on the operators and enhances driving safety.

The invention discloses a high-low label full-automatic switching oil supply method. The high-low label full-automatic switching oil supply method comprises the following steps that S1, oil supply of a low-label oil cavity is carried out; S2, a cooling liquid flows to a high-label oil cavity after passing through a low-label oil supply engine and heats oil in the high-label oil cavity; S3, the cooling liquid returns to the engine; S4, a temperature sensor in the high-label oil cavity feeds back a temperature signal to a controller; S5, the controller compares whether the temperature signal reaches a temperature threshold value or not; S6, the controller is used for switching the high-label oil cavity to supply oil; S7, whether the parking action is executed or not is judged; S8, the engine is shut down in a delayed mode, and the controller controls the low-label oil cavity to supply oil; and S9, after the oil supplied by the low-label oil cavity fills the engine and an oil pipe, the engine is shut down. According to the oil supply method, when a driver needs to park a car, after the driver sends a parking command, automatic analyzation and operation can be achieved according to a parking signal, the parking command is issued to the engine in a delayed manner, and the operation action of the driver is reduced.

The invention provides a vehicle travel support apparatus including: a normal control module configured to execute travel support control so that the vehicle travels along the road; a correction control module configured to execute correction control in addition to the travel support control when a state of the vehicle is brought into an abnormal state during the execution of the travel support control; and a compensation control module configured to, when a finish condition is satisfied during the execution of the correction control, stop both the travel support control and the correction control and execute compensation control.

An external environment recognition unit recognizes a peripheral state of a host vehicle. A control state setting unit sets a control state of automated driving. An action decision unit decides an action of the host vehicle on the basis of the peripheral state that is recognized by the external environment recognition unit and the control state that is set by the control state setting unit. If the external environment recognition unit recognizes a construction section in a road, the control state setting unit sets the control state in accordance with the construction section. A vehicle control unit performs travel control of the host vehicle on the basis of a decision result from the action decision unit.

The invention relates to the technical field of early warning systems for vehicles, and discloses an early warning system and method for a visual blind area of a vehicle, and the vehicle. The early warning system for the visual blind area of the vehicle comprises a controller, and a radar assembly, an early warning assembly and an early warning decision module which are respectively connected with the controller, wherein the radar assembly is used for collecting motion information of obstacles in a preset range on the side of the vehicle; the early warning decision module is used for acquiring driving information of the vehicle in driving, acquiring a first motion track of vehicle driving according to the information in driving, acquiring a second motion track of an obstacle according to the motion information acquired by the radar assembly, acquiring an early warning condition according to the first motion track and the second motion track, and sending the early warning condition to the controller; and the controller is used for sending an alarm instruction of a corresponding grade to the early warning assembly according to the early warning condition, so the early warning assembly performs early warning of different strength grades, the intelligent degree of the early warning system is improved, the occurrence rate of accidents caused by the blind area of the vehicle is reduced, and the driving burden of a driver is relieved.

The invention belongs to the field of automobiles, and particularly relates to a series driving system of vehicles for the same road section. The system includes an active vehicle, a passive vehicle and a vehicle matching module. Through the series driving system for the same road section, a series driving relationship can be formed between at least two vehicles that need to pass the same road section, that is, a forefront vehicle accelerates and decelerates according to traffic situations, synchronization of speed and brake of a following vehicle and a preceding vehicle is realized, the following vehicle automatically follow the preceding vehicle, manual operation for acceleration and deceleration is not needed, a driver only needs to control a steering wheel, road pressure can be alleviated, the number of vehicles passing through in the same time can be increased, traffic accidents can be reduced, frequency of brake use can be lowered, environmentally friendly performance and energy-saving performance can be realized, and a driving burden of the driver of the following vehicle can be reduced when a long-distance fleet goes on a self-driving trip.

The invention discloses an automatic vehicle following system based on radar positioning. The automatic vehicle following system comprises a radar arranged on the front part of a vehicle, a processor used for processing radar data, an electromagnetic valve used for controlling the size of an accelerator and an electronic control brake mechanism. The automatic vehicle following system is characterized in that the electronic control brake mechanism comprises a servo motor, and the processor is respectively and electrically connected with the radar, the electromagnetic valve and the servo motor in the brake mechanism. According to the automatic vehicle following system, the radar is used for providing data for the processor in real time, the processor processes data and automatically controls actions of the electromagnetic valve or the electronic control brake mechanism according to the judgment, and the purpose of automatically driving a vehicle to follow a front vehicle is achieved. In addition, the invention provides an automatic vehicle following method of the system, and the method has the high operability and practicability.

The invention relates to a V2X-based self-adaptive high-beam and low-beam light control method and system, and relates to the technical field of intelligent control of an automobile electronic lighting system. The control method comprises the following steps: obtaining target object information through a V2X technology; identifying a driving scene according to the target object information, wherein the driving scene comprises a reverse meeting scene, a following driving scene and a special road section driving scene; when the driving scene is a reverse meeting scene or a following driving scene, carrying out high-beam and low-beam switching operation; and when the driving scene is a special road section driving scene, carrying out high-beam and low-beam alternate flickering operation. According to the V2X-based self-adaptive high-beam and low-beam control system, the driving scene can be accurately identified, the false triggering probability is reduced, the high-beam and low-beam switching control precision is effectively improved, the driving burden of a driver can be reduced, and the driving safety is guaranteed.

The invention discloses a V2X early warning information pushing method and system. The method comprises the steps of: acquiring and analyzing a V2X signal to obtain V2X early warning information; acquiring and analyzing driver image information, and judging the driving state of a driver; selecting a corresponding pushing strategy according to the V2X early warning information and the driving stateof the driver; and calling HMI man-machine interaction equipment according to the pushing strategy, and pushing the V2X early warning information to the driver. By the adoption of the method, the V2Xvehicle-road-person cooperation technology and the intelligent cabin multi-mode interaction technology are organically combined, the corresponding pushing strategy is comprehensively selected to pushthe V2X early warning information to the driver, unnecessary early warning prompts are reduced, and the driving safety is improved.

The invention discloses an automobile trajectory tracking control method. The method comprises the following steps: 1) identifying a driver model based on a neural network; 2) establishing a three-degree-of-freedom automobile model; and 3) designing a yaw moment controller according to the identified driver model and the three-degree-of-freedom automobile model to complete automobile trajectory tracking. Through driver model identification, the steering behavior of the driver is predicted according to the reference path and the current state of the automobile, so that the human-automobile closed-loop system tracks the reference path in a customized mode on the premise of conforming to the driving habit of the driver, and manipulation interference caused by unified control over the driver by a driving assistance system is avoided; targeted driving assistance is used for reducing the driving burden of a driver, and the tracking effect of the driver on an ideal track is improved.

The invention discloses an automobile automatic braking mechanism using a vacuum booster, comprising a shell, a main cylinder, a main cylinder pushing rod, a linkage mechanism, a spring diaphragm, a rear pushing rod, a front pushing rod, a high-pressure cylinder and a controlling unit, wherein one end of the shell is communicated with a vacuum tube; the main cylinder penetrates through one end ofthe shell and is supported on the shell; one end of the main cylinder pushing rod is arranged in the main cylinder; one end of the linkage mechanism is arranged on the other end of the main cylinder pushing rod in a sleeving manner, and the linkage mechanism does reciprocating motion along the main cylinder pushing rod; the spring diaphragm fixedly sleeves the outside of the linkage mechanism andis fixedly connected with the shell at the same time; one end of the rear pushing rod is connected with the other end of the linkage mechanism; the front pushing rod is coaxially and oppositely arranged with the rear pushing rod at an interval; the high-pressure cylinder is arranged between the rear pushing rod and the front pushing rod; and the controlling unit is electrically connected with high-pressure cylinder. By starting an air intake mechanism, and pushing the rear pushing rod to move forward to start the braking mechanism, the automobile active braking is realized. The invention further provides a controlling method of the automobile automatic braking mechanism using the vacuum booster.

The invention discloses a control method and electronic equipment of a motor vehicle. The control method comprises the following steps of obtaining traffic information closest to the motor vehicle in the travelling direction of the motor vehicle; obtaining travelling condition information of the motor vehicle; based on the traffic information and the travelling condition information, determining a control instruction for controlling the motor vehicle; generating the control instruction; and sending the control instruction to a control unit of a braking system of the motor vehicle, so as to control the braking system of the motor vehicle to brake the motor vehicle. Through the adoption of the method or the electronic equipment disclosed by the invention, the driving burden of a driver can be effectively reduced, and the method and the electronic equipment disclosed by the invention help the driver to observe traffic rules.

The invention discloses a commercial vehicle driving neutral position self-learning method, and aims at the problems that after an electric power steering system of a commercial vehicle is loaded, the vehicle deviates, a steering wheel is unstable, finally, the vehicle cannot go straight or is snakelike left and right, and the driver always manually corrects and resets the steering wheel for a long time, and driving fatigue is generated. Whether the vehicle deviates or not is judged by detecting the steering wheel turning angle, the vehicle speed, the steering wheel torque and the torque duration time in the vehicle running process, and the neutral position of the steering wheel turning angle is adjusted in real time after it is judged that the vehicle deviates indeed. Therefore, the EPS does not generate redundant steering wheel aligning torque due to changes before and after the load of the vehicle, and the loaded vehicle does not deviate due to the load, so that the driving burden of the driver and vehicle safety accidents caused by the deviation of the vehicle can be obviously reduced, and the driving hand feeling is also improved.

The invention relates to the field of automobile intelligent control, in particular to an automobile start-stop working condition intelligent judgment method and system. The invention provides an intelligent judgment method for starting and stopping working conditions of an automobile. According to the method, the current driving speed information, driving direction information, traffic light information, air conditioner operation information and electric quantity information of the automobile are comprehensively considered, the starting and stopping working conditions of the automobile are automatically judged, the engine starting and stopping opportunity can be more reasonable, the driving experience is improved, and the driving burden of a driver is reduced. In addition, the invention provides an intelligent judgment system for the start-stop working condition of the automobile, and the system reasonably calls various sensors and controllers installed on the automobile to carry out comprehensive analysis and control. Therefore, according to the scheme, the advantages of the engine automatic start-stop technology can be played to the maximum extent, vehicle exhaust emission is effectively reduced, and energy consumption of the whole vehicle is saved.

The invention relates to a projection method of a moving target area of ​​a vehicle, an HMI computer system and a vehicle. The method includes: acquiring target area information, vehicle positioning information and information of an automatic driving system; based on the target area information, vehicle positioning information and a plurality of projections system information, determine the activated projection device, and generate a PTZ control command; generate projection content based on the target area information and the information of the automatic driving system; send the projection content to the activated projection device, and send the activated projection device to the cloud The platform sends the PTZ control command. The present invention installs multiple projection systems on the vehicle, selects an activated projection device based on target area information, vehicle positioning information, and multiple projection system information, and performs projection in the target area, and the projection content locks the target area, so that other vehicles or Pedestrians can intuitively understand the target area where the autonomous vehicle will move, thereby reducing the risk of accidents.

The invention discloses a human-computer hybrid enhanced intelligent driving system and an electric car. The system comprises a plurality of sensors disposed on the car, an information processor connected with the plurality of sensors, a human-computer interactive display connected with the information processor, a human intelligent controller connected with the human-computer interactive display,an artificial intelligent controller connected with the information processor and the human intelligent controller respectively, and a human-computer hybrid enhanced intelligent controller connectedwith the information processor, the human intelligent controller and the artificial intelligent controller respectively. The human-computer hybrid enhanced intelligent driving system combines the advantages of an unmanned driving system and a manned driving system, depends on the control of the computer when coping with general road conditions to reduce the driving burden on a driver and depends on decisions of the driver when coping with complex road conditions. The reliability of the system for coping with complex road problems is improved, and the artificial intelligent controller has the ability of learning making decisions from the human driver.

The invention discloses a rotor vortex ring state automatic early warning method based on aerodynamic noise monitoring. The automatic warning method comprises the following steps of: acquiring aerodynamic noise signals of a fuselage during descent or landing flight collected by a microphone having a plurality of microphones arranged on a fuselage surface of a helicopter or a tilt rotor aircraft; The aerodynamic noise signal is analyzed by frequency spectrum, and the aerodynamic noise signal in frequency domain is obtained. The low frequency noise signal is filtered to obtain the noise signal of rotor and tail rotor in frequency domain and then separated. Dynamic analysis of rotor aerodynamic noise signals in frequency domain; When the noise pressure level corresponding to the rotor blade passing frequency of 6-40 times is increasing, an alarm command is sent to the rotor to alert that the rotor has entered into a dangerous vortex ring state. The invention can more conveniently realizetimely and automatic early warning when the rotor enters the vortex ring state, and ensure the safety of the helicopter and the tilt rotor aircraft when landing.

The invention discloses a vehicle trajectory tracking control method. The steps are as follows: 1) Identify the driver model based on the neural network; 2) Establish a three-degree-of-freedom vehicle model; The model designs the yaw moment controller to complete the vehicle trajectory tracking. The present invention predicts the driver's steering behavior based on the reference path and the current state of the car through driver model identification, so that the human-vehicle closed-loop system can track the reference path in a customized manner on the premise of meeting the driver's driving habits, avoiding the driving assistance system. The unified control of the driver brings manipulation interference, and the use of targeted driving assistance reduces the driver's driving burden and improves the driver's tracking effect on the ideal trajectory.

The invention discloses a driving assistance method, system and device for a narrow environment and a storage medium. The method comprises the steps of detecting whether a vehicle is in the narrow environment or not when the vehicle is in a driving assistance mode; and if the vehicle is in the narrow environment, starting a panoramic image system to assist in passing through the narrow environment. The panoramic image system is automatically started when it is detected that the vehicle is in the narrow environment, a vehicle surrounding environment information picture can be provided for a driver in time, the driver is assisted in passing through the narrow environment, the driving burden of the driver is relieved, the scratching risk of the vehicle is reduced, and the driving safety is improved.

The invention discloses a method for optimizing speed of a highway heavy truck. The method comprises the following steps: establishing a longitudinal kinetic model of a vehicle, establishing an engine model of the vehicle, and designing a nonlinear model predication controller. A model predication control strategy is adopted, the running fuel economy of the highway heavy truck and restraint of a physical execution mechanism are taken into consideration, a nonlinear model predication control method is applied for optimization so as to obtain the optimal engine torque under current-stage road information, so that the vehicle speed with optimal fuel economy is obtained; according to the requirement of a driver on freight timeliness, the efficiency coefficient of the nonlinear model predication controller is set, so that the relation between the freight timeliness and the fuel economy is balanced, not only can the fuel consumption of the highway heavy truck be effectively reduced, but also the freight timeliness can be ensured, energy consumption is reduced, and emission of greenhouse gases is reduced.