42results about How to "Avoid driving risks" patented technology

Provided is a power control method of a battery management system. The power control method of the battery management system includes the following steps: building a maximum allowable discharge power and temperature, and a two dimensional power meter of a stress optical coefficient (SOC); detecting the temperature and the SOC value under the current working mode of each battery monomer voltage in a battery pack and the battery pack, checking the chart and estimating the current maximum allowable discharge power P of the battery pack according to a linear interpolation method; finding out the battery monomer voltage value with the lowest voltage in the battery pack, setting the maximum allowable target discharge power at the moment according to the battery monomer voltage value; delivering the given maximum allowable target discharge power to the finished vehicle controller which carries out the relevant control.

The invention provides an intelligent control method and system for vehicle driving modes. According to the intelligent control method and system for the vehicle driving modes, the driving modes can be directly selected and switched through a point-touch switch, operation is easy, and the universality is high. The intelligent control method comprises the steps that a vehicle body controller receives mode selection information from the point-touch switch; the mode selection information is sent to an automatic transmission controller; whether a vehicle is allowed to enter the selected driving mode corresponding to the mode selection information is judged according to the current gear level position and a preset priority event; if yes, the vehicle enters the selected driving mode, and the fact that the vehicle enters the selected driving mode is prompted through an instrument panel; if not, the vehicle does not enter the selected driving mode, and the fact that the vehicle does not enter the selected driving mode is prompted through the instrument panel.

The invention provides a method for judging faults of a rotation speed sensor of a double clutch transmission output shaft. The method comprises the following steps: judging whether the difference between arithmetic mean values of rotation speed signals of the double clutch transmission output shaft and rotation speed signals of driving wheels of an ABS is within an acceptable deviation range; when the difference is within the acceptable deviation range, judging whether omega inp is equal to omega outp*igear, wherein omega inp is a rotation speed signal of the double clutch transmission output shaft, omega outp is a rotation speed signal of the double clutch transmission output shaft, and igear is the total transmission ratio of a shift when a double clutch transmission is in stable transmission; when omega inp is not equal to omega outp*igear, judging whether omega engine is equal to omega outp*igear, wherein omega engine is a rotation speed signal of an engine; when omega engine is not equal to omega outp*igear, transmitting a signal for indicating that the rotation speed sensor of the double clutch transmission output shaft has faults. By adopting the method, the false alarm rate of the rotation speed sensor of the double clutch transmission output shaft is greatly reduced.

The embodiment of the invention discloses an environmental perception system which is used for an autonomous vehicle and based on a sensor network. The environmental perception system comprises multiple sensors, a cloud platform, communication equipment, a memory and a controller; multiple sensors are configured on a target vehicle and other vehicles; the cloud platform is used for acquiring othervehicles in an environment where the target vehicle is located and forming global information of the environment, where the target vehicle is located, according to local environmental information; the memory memorizes historical statistical information of the local environmental information; and the controller compares the local environmental information with the historical statistical information, then generates decision credibility of the local environmental information and forms a driving decision according to the global information and the decision credibility of the local environmental information. The technical scheme of the invention comprehensively considers the decision credibility of the local environmental information for making the driving decision as well as the global information, a more effective driving decision can be made, and safety of the autonomous vehicle is improved.

The invention relates to a multifunctional vehicle central control system which comprises a control unit, a display screen and a signal transceiving device. The control unit comprises a capacitive touch screen controller, a vehicle navigation control module and a microcontroller, the display screen comprises a projection capacitive touch display screen connected with the capacitive touch screen controller and a capacitive touch sensing switch connected with the microcontroller, and the signal transceiving device transmits signals collected by a vehicle related accessory system sensor to the control unit; the capacitive touch screen controller can convert transverse and longitudinal position original analog signals output by the projection capacitive touch display screen into data flow composed of multiple X and Y coordinate points and transmit the data flow to a DSP (digital signal processor) controlling and processing module and a central processing unit to calculate an accurate position of a body on the projection capacitive touch display screen and decode the accurate position into corresponding gesture indication. The multifunctional vehicle central control system is high in touch sensitivity and supportive of multipoint touch, and comfort of a vehicle and attractiveness of upholstery are improved to a great extent.

The invention discloses a method and system for predicting the danger level of pedestrians around a vehicle, and belongs to the technical field of intelligent vehicle active safety. Pedestrian trajectory prediction is carried out based on the first view angle data of the vehicle, long-time trajectory prediction is realized by using data-driven sequential network modeling, the calculation cost is reduced, and the prediction duration is shortened; a danger level recognizer based on clustering analysis and a classifier can recognize the danger level of pedestrians according to the characteristicparameters, and uncertainty caused by judging the danger level by manually dividing parameter ranges is avoided; a pedestrian moving track is predicted according to the pedestrian track fitting deviceobtained by training, a pedestrian characteristic parameter set is extractd, the parameter set is input into the pedestrian danger level recognizer obtained by training, and the pedestrian danger level is predicted. According to the invention, understanding of behavior intentions of surrounding pedestrians in the driving process is facilitated, the collision risk of pedestrians and vehicles is estimated, a basis is provided for adjusting a driving strategy, the driving risk is avoided, and the driving safety is improved.

The invention discloses an automatic driving vehicle driving method with a backup path. The automatic driving vehicle driving method comprises the following steps of pre-storing the backup path of a vehicle traveling under specific road scenes in an automatic driving control system of the vehicle; whether the vehicle travels under the specific road scenes or not is judged in real time; if yes, combining a path planned through sensing by the control system with the backup path for driving; and if not, performing driving according to the path planned through sensing by the control system. The specific road scenes refer to a shunting turnout and a ramp. By means of the automatic driving vehicle driving method with the backup path, under specific rod scenes such as the shunting turnout, the pre-stored backup path can be used to instruct vehicle driving, so that the driving of an autonomous vehicle conforms to human driving habit, and meanwhile, the safety of automatic driving is improved.

The invention discloses a driver safety monitoring and learning system. The driver safety monitoring and learning system comprises: a data collection unit, used for collecting behavior data of a driver; a data preprocessing unit, used for extracting evaluation data for evaluating the driver from the collected behavior data; a data statistic analysis unit, used for performing statistical analysis on the evaluation data to obtain a scoring condition of each driver; and a data receiving unit, used for receiving a scoring result and obtaining driving suggestions according to the scoring result, and sending the driving suggestions and uncompleted training learning courses to the driver. The beneficial effects of the driver safety monitoring and learning system are achieved: multiple objective evaluation standards are comprehensively considered, so that the assessment result of the driver is more objective and reliable, the adverse habits of the driver can be reminded, the driving risk is avoided, and the road traffic safety is improved.

The invention relates to a panoramic vision-based relative pose resolving method for wireless charging alignment and relates to the technical field of electric vehicle wireless charging alignment. Themethod comprises steps of obtaining a parking space visual image, and dividing an ROI image region according to the obtained parking space visual image; preprocessing the image area according to thedivided ROI image area, and filtering noise; segmenting and reserving a parking space area according to the preprocessed interested image area, and performing mark line detection on the parking spacearea; according to the detected parking space area marking lines, transformation processing being carried out, a parking area being positioned, and corner point information being obtained, and solvingthe relative pose of the vehicle according to the angular point information, and determining the relative pose of the vehicle. The method provided by the invention is based on panoramic vision, operability of a driver to a driving system can be improved, the driving risk caused by a blind area of the driver is avoided, and the potential safety hazard is reduced.

The embodiment of the application discloses a lane center line determining method and device which is applied to the field of automatic driving, and is used for accurately determining a lane center line so as to control an intelligent automobile to safely drive. The method provided by the embodiment of the invention comprises the following steps: firstly, obtaining driving track points representing position information of vehicles around a target vehicle in a driving process, then carrying out data processing on every two driving track points which are adjacent in time and belong to the same vehicle so as to respectively determine corresponding straight lines; determining the target equation parameter according to the determined equation parameter corresponding to each straight line; and finally, accurately determining the lane center line according to the target equation parameter.

The invention discloses a radar ranging method based on the Doppler principle. The radar ranging method comprises the following steps that a radar transmits electromagnetic waves and then receives electromagnetic waves; the Doppler frequency is obtained according to a formula, and whether or not a measured object is close to or far away from the radar according to the size of the transmitted electromagnetic waves and the size of the received electromagnetic waves; the relation between the Doppler frequency and the relative velocity is obtained according to multiple times of testing and measurement; the approximate distance between the radar and a transmitting object is calculated according to the delay time of transmitting the electromagnetic waves and the delay time of receiving the electromagnetic waves; and the time needed when the measured object and the radar are located at the same position is calculated according to a velocity and displacement formula, and a user is reminded toperform a correct operation according to the time. The relative velocity and the distance between the measured object and the radar and the time needed when the measured object runs into the vehicle-mounted radar are calculated by means of the Doppler principle, the condition that two vehicles collide is avoided, the ranging mode is simple and convenient to operate, the radar terminal quickly calculates and processes data, the driver can quickly perform the correct driving operation, and therefore the driving safety is improved.

The invention discloses a charging path navigation method in long-distance transportation of an electric automobile. Traditional path selection is only simple shortest path search. The method comprises: firstly, determining two constraint conditions, then collecting the models of different charging piles, and corresponding to different charging prices and charging efficiencies, considering the overall logistics transportation cost, and selecting a transportation path and a charging strategy with the highest cost performance; using a BellmanFord algorithm, iterating all possible transportationpaths, adding a charging price and charging efficiency matrix Wij belongs to {P1 P2 P3} and Sij = {M1 M2 M3}, and finding a path and a charging strategy with the highest cost performance. According tothe method, when a vehicle for transporting logistics is determined, and when the weight of the logistics goods is transported, the rechargeable nodes in the transportation process are input, under the condition that the danger coefficient is regulated and controlled, the optimal driving path and charging strategy are intelligently provided for a logistics transportation driver, the driving timefactor and the consumed charging economic factor are both considered, and the strategy with the high cost performance is provided.

The present invention discloses chewing gum with satiety and a preparation method thereof. The chewing gum comprises the following components in weight percentages: 32%-37% of gum bases, 12%-16% of erythritol, 12%-14% of mannitol, 0.01%-0.03% of acesulfame, 12%-16% of yeast beta-glucan, 5.8%-6.4% of crystalline cellulose, 0.5%-0.7% of lecithin, 0.8%-1% of glycerol, 0.2%-0.4% of citric acid, 1%-2% of spices, 4%-4.5% of titanium dioxide, and 8%-10% of talcum powder. The preparation method comprises the following steps of gum base melting and kneading, material mixing, yeast beta-glucan mixing, cooling, extruding and molding, cutting, polishing, powdered sugar coating and finished product obtaining. High viscosity and gelation property of the yeast beta-glucan are used to increase gastric mucosal barrier effects, inhibit sugar metabolism and alleviate hunger feeling, the other components are combined to prepare the chewing gum, and the chewing gum is convenient to carry, can be chewed at any time, can prevent dizziness, inattention, etc. caused by the hunger feeling, is especially suitable for long-distance drivers to use, and effectively avoids driving risks.

The invention discloses a method and system for predicting the danger level of pedestrians around a vehicle, belonging to the technical field of active safety of intelligent vehicles. The present invention predicts pedestrian trajectories based on vehicle first-view data, uses data-driven time series network modeling to realize long-term trajectory prediction, reduces computing costs, and shortens the duration of prediction; the hazard level recognizer based on cluster analysis and classifiers can The characteristic parameters identify the pedestrian danger level, avoiding the uncertainty caused by artificially dividing the parameter range to determine the danger level; predict the pedestrian movement trajectory according to the pedestrian trajectory fitting device obtained through training, extract the pedestrian characteristic parameter set, and input the parameter set into In the trained pedestrian danger level recognizer, the pedestrian danger level is predicted. The invention helps to understand the behavior intentions of surrounding pedestrians during driving, estimates the collision risk of pedestrians and vehicles, provides a basis for adjusting driving strategies, avoids driving risks, and improves driving safety.

The invention discloses a data processing method and device, equipment and a storage medium. The method comprises the steps that first position information and first sensing data of a target vehicle and second position information and second sensing data of a current vehicle are acquired; based on the first position information and the second position information, determining relative position information between the target vehicle and the preceding vehicle and a sensing data detection blind area corresponding to the current vehicle; determining blind area standby sensing data corresponding to the sensing data detection blind area from the first sensing data based on the sensing data detection blind area; according to the relative position information, the second sensing data and the sensing data detection blind area, performing segmentation processing on the blind area standby sensing data to obtain target blind area sensing data corresponding to the sensing data detection blind area; updating blind area sensing data in the second sensing data based on the target blind area sensing data to obtain target sensing data of the current vehicle; according to the invention, the ability of bicycle automatic driving in automatic driving can be improved.

The invention aims to provide an intelligent identification safe driving early warning system and a working method thereof. The system is composed of an advancing induction module, a signal transmission module and a data collection and analysis module. The advancing induction module is composed of a plurality of motor vehicles, wherein each motor vehicle is provided with eight monitors, two pedestrian recognition devices and an automatic brake device, and each monitor is composed of a shell, a suction cup piece, a camera, a circuit board, a power source, a data processor, a signal sending device and an indicator lamp. According to the whole system, eight monitors are arranged on each motor vehicle; the transmission of a wireless network and the data analysis and output of a server are matched. ,The pedestrians pass through two static vehicles can be monitored in real time, so that an early warning signal is sent to a driver who finds abnormal conditions, the automatic braking functionis activated in time, driving risks caused by visual blind areas and misunderstanding are avoided, emergency protection is achieved on the pedestrians, and then traffic safety accidents are avoided.

The invention discloses a vehicle lamp control method and system based on camera light sensing and a vehicle, and the method comprises the steps: collecting an image in front of a vehicle body through a vehicle camera, and analyzing the light intensity of the whole image, so as to obtain a light parameter a; conducting brightness analysis on the road surface image in the area 3-15 m in front of the vehicle body to obtain a road surface parameter b; recording light parameters and road surface parameters before a driver turns on and turns off a dipped headlight and a high beam light every time; and controlling on and off of the dipped headlight and the high beam light according to the average value of the light parameters and the road surface parameters. According to the light parameter a and the road surface parameter b of the whole image collected in real time, turning-on and turning-off of the dipped headlight and the high beam light of the vehicle are jointly controlled, the driving risk caused by manual operation of a driver is avoided, and the driving safety is improved; and in addition, lamplight habits of the driver when the dipped headlight and the high beam light are turned on and turned off are recorded, self-learning is carried out, the vehicle lamp habits of different drivers can be adapted, and the driving comfort is improved.

The invention provides an interphone system. The system comprises an interphone, a Bluetooth module, a Bluetooth PTT and a Bluetooth device. The interphone comprises a microprocessor, an audio channelconnected with the microprocessor, a Bluetooth module interface connected with the microprocessor and the audio channel, and a transmitting module connected with the audio channel. Both the BluetoothPTT and the Bluetooth device can be adaptively connected with the Bluetooth module. The Bluetooth module works in a master mode, and the Bluetooth PTT and the Bluetooth device work in a slave mode. The Bluetooth PTT is used for controlling the emission of the interphone, and the Bluetooth device is used for collecting a voice signal to be sent and playing the received voice signal. The inventionalso provides a use method of the interphone system. According to the invention, a user can complete a call without holding the interphone by hand, and does not need to press the Bluetooth PTT all thetime, thereby avoiding the loss of the voice signal as much as possible, and improving the satisfaction degree of the user experience.

The invention discloses a vehicle running control system and a vehicle running control method of a hybrid electric vehicle. The system comprises a vehicle control unit, a battery management system connected with a power battery, a power controller connected with a power source of a hybrid power coupling system, and a sensor assembly arranged on the hybrid power coupling system. The vehicle control unit is connected with the sensor assembly, the battery management system and the power controller and used for conducting fault detection according to sensor detection data collected by the sensor assembly and battery detection data collected by the battery management system and controlling the power controller to drive in a target working mode corresponding to a fault detection result based on the fault detection result. According to the system, when the fault detection result shows that the fault exists, the power source of the hybrid power coupling system can still be controlled through the power controller to work in the target driving mode, so that the driving safety of the hybrid electric vehicle is guaranteed, and the driving risk caused by the fault of a high-voltage system is avoided.

The invention provides a data processing method and device, electronic equipment and a storage medium. The method comprises the following steps: sending first road condition information containing thevehicle information of the target vehicle and used for representing the road condition at the target moment to a server, so as to enable the server to determine the driving risk between vehicles in the road condition at the target moment based on the first road condition information and second road condition information containing the vehicle information of other vehicles; acquiring driving risksbetween a target vehicle and other vehicles in the road condition at the target moment based on the driving risks between the vehicles in the road condition at the target moment; based on the drivingrisk between the target vehicle and other vehicles in the road condition at the target moment, obtaining the driving risk between the target vehicle and other vehicles in the road condition at the current moment; and based on the driving risk between the target vehicle and other vehicles in the road condition at the current moment, carrying out early warning on the target vehicle in the road condition at the current moment. According to the invention, the vehicle early warning accuracy can be improved.

The invention discloses a TCU and a method for detecting and processing faults of an automatic transmission through the TCU. The method comprises the following steps of: detecting whether the automatic transmission has off-gear faults or not while determining that the automatic transmission completes gear shifting; and while determining that the automatic transmission has off-gear faults, diagnosing the off-gear fault type of the automatic transmission. With the adoption of the technical scheme, the off-gear faults can be detected, so that traveling safety is strengthened.

A universal composite bony windscreen wiper comprises a big bone, wherein middle bones are connected to two ends of the big bone through plastic rotating shafts, the middle bones are matched and connected with wing feet through shaft holes, the lower ends of the wing feet are connected with rubber strips through arc-shaped flat wires, the big bone is connected with a big bone guard, side bone guards are connected to two ends of the big bone guard, and the big bone guard is connected with a multifunctional joint. The work for mounting or replacing of a joint by the user is avoided with the adoption of the design that the joint is adapted to various wiping arms, the universal composite bony windscreen wiper has the characteristics of reasonable structure, good strength, attractive appearance and convenience in mounting, the bottom surfaces of the rubber strips are completely attached to the surface of glass, the rubber strips apply uniform press force to the glass, and the wiping effect is good.

The invention provides a vehicle-mounted navigation control method, a mobile device, a vehicle-mounted terminal and a navigation system.The method comprises the steps that when a navigation control instruction is received, a navigation control interface is displayed on the mobile device, and the navigation control interface is used for controlling vehicle-mounted navigation of the vehicle-mounted terminal; in the process of controlling a preset item of the vehicle-mounted navigation of the vehicle-mounted terminal through a navigation control interface, the vehicle-mounted navigation of the vehicle-mounted terminal keeps an original map navigation picture unchanged, and after a control result corresponding to the preset item is generated, the control result is sent to the vehicle-mounted navigation. And synchronously updating corresponding items of the vehicle-mounted navigation or updating map navigation pictures by the vehicle-mounted navigation according to the control result. Navigation of the vehicle-mounted terminal is controlled through the mobile device in network connection with the vehicle-mounted terminal, auxiliary and extended function control of navigation of the vehicle-mounted terminal is achieved, the mobile device can be controlled by a co-driver in a vehicle or a person in the back row, and the driving risk caused by the fact that a driver controls the vehicle-mounted terminal is avoided.

The invention discloses a driving environment safety evaluation method, and the method comprises the steps: dividing a target object in a current driving environment into target object sets, and determining spatial vectors corresponding to the target object sets which do not comprise to-be-evaluated target objects, and spatial vectors of the target object set including the target objects to be evaluated corresponding to various potential driving tasks, and based on spatial vectors, corresponding to various potential driving tasks, of a target set including to-be-evaluated targets and spatial vectors, not including the to-be-evaluated targets, of the target set, determining safety coefficients corresponding to various potential driving tasks, thereby determining a safe driving task suitable for the to-be-evaluated target object. According to the method, the driving environment safety of the to-be-assessed target object can be comprehensively assessed according to each target object in the current driving environment, and the safety corresponding to various potential driving tasks is predicted, so that intelligent driving is realized, the driving risk is avoided, and a basic guarantee is provided for quickly responding to the risk.

The invention relates to the technical field of vehicles, and discloses a vehicle emergency door opening device and method and a vehicle, and the vehicle emergency door opening device comprises a vehicle exterior door lock pull wire, a motor locking mechanism, an electromagnetic locking mechanism and a control device; the control device is used for controlling the motor locking mechanism to release the vehicle exterior door lock pull wire and controlling the electromagnetic locking mechanism to lock the vehicle exterior door lock pull wire when the vehicle exterior door lock pull wire meets a preset pre-release condition, so that the vehicle exterior door lock pull wire is in a pre-release state; when the outside door lock pull wire is in the pre-release state and the electromagnetic locking mechanism is not powered, the electromagnetic locking mechanism can automatically release the outside door lock pull wire so that the outside door lock pull wire can be in the release state, in this way, people outside the automobile can unlock the automobile door through the outside door lock pull wire, rescue can be carried out in time, and the safety of the automobile is improved. And meanwhile, the problem of driving risks caused by false triggering of unlocking of the vehicle door due to a collision early-warning unlocking mode in the prior art is avoided.