394results about How to "Improve driving experience" patented technology

The invention discloses a tuning method and device for vehicle-mounted music, a medium and a product, and relates to the technical field of music playing, and the method comprises the steps: obtaining the driving parameters of a vehicle in a process that a playing device of the vehicle plays target music; determining a track control parameter corresponding to each audio track based on the driving parameter of the vehicle; adjusting audio data of each audio track of the target music based on the track control parameters to obtain adjusted audio data corresponding to each audio track; and generating tuned target music based on the adjusted audio data corresponding to each audio track, and playing the tuned target music. The track control parameters of the audio tracks are determined according to the driving parameters of the vehicle so as to control the audio tracks of the music, so that the music can be dynamically adjusted according to the driving process of the vehicle, the interactivity between the music and the driving process is enhanced, and the driving experience of a driver is improved.

The invention relates to the technical field of intelligent high-speed vehicle passing control, and provides a method for predicting a vehicle driving track under highway passing control based on digital twin tracking simulation, and the method comprises the steps: collecting highway digital twin system, target vehicle and environment data in real time, and carrying out the integration to form an input data set; a future driving track of a vehicle is predicted by using a pre-trained LSTM deep neural network model, and an actual track is collected through devices such as a GPS and the like for verification. And when the prediction deviation exceeds the preset range, the model is dynamically adjusted to improve the accuracy. Prediction results and deviation analysis are transmitted to a background control terminal and a driver mobile terminal in real time, and traffic control, accident early warning and driving aid decision making such as front road condition prediction and suggested driving speed providing are supported. The highway traffic efficiency and safety are effectively improved, the driver experience is enhanced, the development of an intelligent traffic system is promoted, the operation cost is reduced, and remarkable social and economic benefits are achieved.

The invention discloses an intelligent vehicle-mounted application adjusting method and system based on a driving scene, and relates to the field of vehicle-mounted application, and the method comprises the steps: obtaining current real-time driving data, current external environment information and current position information, and matching a user behavior mode of a current vehicle in a preset behavior mode database according to the current real-time driving data, identifying a driving scene of a current vehicle according to the current external environment information and the current position information, and predicting an information type and a presentation mode required by a current driver according to the user behavior mode and the driving scene, and determining an information presentation mode and information presentation time in a preset application database according to the information type and the presentation mode, and presenting all the vehicle-mounted applications according to the information presentation mode and the information presentation time, and by implementing the method, the driving experience of a driver can be improved in a complex driving scene.

The invention provides a special vehicle driver comfort evaluation method fusing driving performance. The method comprises the following steps: S1, obtaining a subjective scoring index set, an objective physiological feature index set and a driving performance feature index set of a driver; s2, constructing an objective physiological feature scoring model and a driving performance feature scoring model; s3, obtaining objective physiological feature indexes and driving performance feature indexes of the to-be-scored driver; s4, based on the objective physiological feature scoring model, determining an objective physiological index score according to the objective physiological feature indexes of the to-be-scored driver; based on the driving performance feature scoring model, determining a driving performance score according to the driving performance feature index of the to-be-scored driver; s5, calculating a driver comfort score according to the objective physiological index score and the driving performance score; through the method, the comfort of the driver of the special vehicle can be evaluated more accurately and comprehensively.

The invention discloses a pedal feeling control method, computing equipment, a vehicle and a storage medium. The method comprises the steps that character feature information of a current driver is acquired; matching a target pedal feeling strategy associated with the character feature information, wherein the target pedal feeling strategy is obtained after a preset model performs model training according to brake control data corresponding to the character feature information; and responding according to the target pedal feeling strategy. Thus, after the current driver is recognized, the pedal feeling strategy which is subjected to model training through the brake control data of the current driver and is output serves as the target pedal feeling strategy, and pedal feeling strategy configuration of the vehicle is completed; the current driver can more intuitively sense the response state of the vehicle braking system based on the braking control habit of the driver, and therefore the braking degree is accurately controlled. Therefore, the pedal feeling strategy configuration of the vehicle can be completed so as to accurately match the individual brake control habit of the driver, and the purpose of improving the driving experience is achieved.

The invention discloses an intelligent interaction system for recognizing voiceprint information through environmental sound, and relates to the field of man-machine interaction. Comprising an environment sound pickup module which picks up environment sound in a vehicle by using a microphone array and carries out filtering and denoising processing on the sound; the voiceprint feature extraction module is used for converting the sound signal into a spectrogram by using short-time Fourier transform, distinguishing different passengers through different waveform features, and then extracting MDCC features in the sound signal as sound feature vectors; according to the invention, through picking up the environment sound, then extracting the voice data of the passenger, carrying out feature extraction on the voice data again, obtaining the voice content of the passenger, carrying out emotion and intention analysis on the voice content of the passenger, and then carrying out recommendation and related control, the active degree and the automation degree of man-machine interaction are increased, and the experience of the passenger is improved.

The invention relates to the technical field of vehicle control, and discloses a vehicle braking vibration reduction method, device and equipment and a storage medium, and the method comprises the steps that when an approaching obstacle is detected, available braking related signals are determined; determining a target damping coefficient according to the vehicle speed information based on the brake-related signal; and controlling an electric control shock absorber in the vehicle based on the target damping coefficient. When it is detected that the vehicle is close to the obstacle and possibly brakes, the corresponding target damping coefficient can be calculated and determined according to the obtained brake related signal, and the electric control shock absorber in the vehicle is controlled according to the target damping coefficient to generate the corresponding damping force before real braking; therefore, the pitching condition of the vehicle caused by follow-up braking is counteracted or weakened, and the actual driving experience is improved.

A wide-screen power motor stepless speed regulation device for an electric vehicle relates to the technical field of electric vehicle motors and is characterized in that the wide-screen power motor stepless speed regulation device comprises a U-shaped fixed base, two parallel rotating shafts are rotatably arranged between two sides of the fixed base, the rotating shafts are respectively provided with a same speed regulation belt pulley, and the speed regulation belt pulley is connected with the fixed base. The speed regulation belt wheels are conical, the arrangement directions of the two speed regulation belt wheels are opposite, a speed regulation belt is arranged between the two speed regulation belt wheels, clamping blocks are arranged on the two sides, making contact with the speed regulation belt wheels, of the two ends of the speed regulation belt in a sliding mode, and a pushing plate is arranged between the clamping blocks. A lead screw is arranged on the side portion of the pushing plate and connected with the side portion of the fixed base through threads. The speed regulation device is simple in structure and technology, low in production and manufacturing cost, high in speed regulation response speed and convenient to use.

The invention relates to the technical field of vehicles, and discloses a multifunctional steer-by-wire hand feeling simulator which comprises a steering column and an upper steering mandrel assembly arranged in the steering column, and the upper steering mandrel assembly is connected with a steering wheel through a spline. A speed reducing mechanism, a telescopic adjusting mechanism, an angle adjusting mechanism and an angle limiting mechanism are arranged on the steering column, the speed reducing mechanism is used for providing damping for the steering wheel to guarantee the road feeling, the telescopic adjusting mechanism is used for automatically adjusting the telescopic steering wheel, and the angle adjusting mechanism is used for adjusting the angle of the steering wheel. The angle limiting mechanism is used for limiting the number of turns of the steering wheel. The invention has the following advantages and effects: the driving experience of a driver can be improved, the driving space is saved, and the comfort level is improved.

The invention provides a vehicle window defogging method and system, a storage medium and an intelligent cabin. The method comprises the steps that temperature and humidity data and real-time image data of a foresight vehicle window are collected in real time; obtaining a fogging temperature threshold according to the temperature and humidity data; obtaining a vehicle window fogging state according to the fogging temperature threshold value, and when the vehicle window fogging state is a fogged state, confirming the fogged state based on the real-time image data; when confirmation is carried out, the current fogging space is obtained according to the temperature and humidity data, and defogging operation is carried out on the current fogging space. According to the method and the device, automatic identification and automatic defogging operation on the fogging state are realized, the fogging state of the vehicle window is confirmed based on the real-time image data, the accuracy of judgment on the fogging state is improved, the fogging space is subjected to defogging operation, the front-view vehicle window is ensured to be clear and visible, and the driving experience and the driving safety are improved.

The invention provides a vehicle and a vehicle steering control system and method, and belongs to the technical field of vehicle control. The vehicle steering control method comprises the steps that the current steering angle of the vehicle is received; when the current steering angle is larger than the preset triggering angle and smaller than the maximum steering angle of the wheels, the target angle difference value is added on the basis of the numerical value of the preset triggering angle, so that a target steering angle is obtained; when the current steering angle is equal to the maximum steering angle, taking the maximum expected steering angle as a target steering angle; obtaining a target differential ratio of the vehicle driving wheel based on the target steering angle, wherein the target differential ratio is a differential ratio when the driving wheel steers to the target steering angle; the differential ratio of the drive wheel is adjusted to a target differential ratio. According to the vehicle steering control method, on the premise that the current steering angle is not increased, the actual turning radius of the vehicle is remarkably reduced, and then the driving experience of the vehicle is effectively improved.

The invention discloses a six-shaft simple electric control speed change clutch sheet type electric driving system which comprises a power input mechanism, a speed change assembly and a two-shaft power output mechanism, and a power input shaft, a speed reduction shaft assembly, a reverse gear shaft mechanism and the two-shaft power output mechanism of the speed change assembly are arranged on the periphery of a main shaft in the circumferential direction. And the structure is simple and reliable, the expansibility is excellent, and various functional modules such as human-controlled reversing, inertial reversing and active upshift and downshift according to real-time power can be flexibly expanded according to actual requirements. The motor can always and efficiently keep working in the current high-efficiency area according to the change of the driving intention, a multi-parameter control strategy with the consciousness and intention of people as priority is achieved, and harmony and unification of people, vehicles, roads and running resistance / running loads are achieved. The important scientific and engineering technology common key problem of traction / driving force-running resistance / load efficient and accurate balance control is solved.

The invention relates to the technical field of gearboxes, in particular to an electric gearbox assembly which comprises a box body and a motor, a power transmission shaft is arranged at the power output end of the motor, an intermediate shaft is arranged in the middle of the box body, a synchronous gear ring is slidably connected to the middle of the intermediate shaft, a power output shaft is arranged in the middle of the lower end of the box body, and a shifting gear shifting mechanism is arranged in the middle of the box body. The shifting gear shifting mechanism is composed of a mounting column, a second spring, a second steel ball, a four-wheel-drive shifting fork, a locking column and a sleeve, the box body is formed by splicing a left box body and a right box body, transmission flanges are fixedly connected to the two ends of the power output shaft, and a motor connecting cover is fixedly connected to the connecting position of the left side of the box body and the power transmission shaft; a gear shifting rotating arm is rotationally connected to the outer side of the box body, the two ends of the gear shifting rotating arm penetrate through the box body, and a rocker arm plate is fixedly connected to the upper end of the gear shifting rotating arm.

The invention relates to an in-vehicle gesture recognition method and system based on a directional loudspeaker, and the method comprises the following steps: collecting gesture data through the directional loudspeaker, and extracting an audio clip containing a gesture, thereby obtaining a gesture waveform; preprocessing the gesture waveform; sTFT transformation is carried out on the preprocessed gesture waveform, the gesture waveform is converted into a spectrogram, and the spectrogram is evenly cut and then serves as input of a gesture recognition model; and gesture recognition is carried out by using a gesture recognition model constructed based on the ResNet network. Compared with the prior art, the method has the advantages of high recognition accuracy, high recognition speed and the like.

The invention discloses a self-adaptive cruise anti-slip compensation and overtaking auxiliary control system and method, and belongs to the field of intelligent driving. The self-adaptive cruise anti-slip compensation and overtaking auxiliary control system comprises an ADS module, a BCM module, an environment sensor, an ESP module, an EPS module, a function switch and a large central control screen. The environment sensor is used for receiving external environment information; the ADS module is used for receiving the external environment information sent by the environment sensor, carrying out information preprocessing, carrying out transverse and longitudinal control on the vehicle and carrying out display control on the central control large screen; the ESP module is used for controlling vehicle acceleration and deceleration and vehicle stability; and the EPS module is used for performing steering control on the vehicle. According to the self-adaptive cruise anti-slip compensation and overtaking auxiliary control system and method, the problem that acceleration and deceleration of a vehicle on a steep slope pavement are not linear can be solved, the driving experience is improved, the vehicle can be accelerated and decelerated in advance during overtaking auxiliary, the lane changing efficiency and the driving comfort are improved, and the vehicle driving feeling of a driver is improved.

The invention discloses an adjusting system for controlling the rotating speed of an automobile engine, and the system is characterized in that the system comprises a data collection module which collects the conventional operation parameters of the automobile engine in real time, the conventional operation parameters comprise the rotating speed, the torque, the air inflow, the oil temperature and the oil pressure, and also collects the acceleration, the gradient information, the external environment temperature and humidity of a vehicle and the driving behavior data of a driver; such as accelerator pedal depth change rate and brake frequency; the data analysis module is connected with the data acquisition module and is used for deeply mining a relationship and a potential rule in data by applying a long short-term memory (LSTM) network algorithm in deep learning and a fusion analysis method based on a physical model, identifying a real-time running state and a future change trend of the engine and intelligently diagnosing potential fault hidden dangers; the fuel injection amount and the ignition time can reach the optimal state through accurate rotation speed adjustment, fuel consumption is greatly reduced, fuel economy is improved, and expenditure is saved for users.

The invention discloses an AB backup method for realizing OTA upgrade by a single Flash Bank, which ensures that a system can automatically recover to a previous stable version without staying in a BOOT boot area under the condition that the OTA upgrade fails. The problem that the ECU can only execute a firmware upgrading function and cannot work normally after the traditional OTA upgrading fails is avoided, so that continuous operation of core functions of the ECU is guaranteed, the driving experience of a user and the stability of a system are improved, and in addition, the method has the advantages that fault tolerance and recovery capacity of double Flash Banks similar to that of a high-end MCU are achieved on a single Flash Bank of a common MCU. Thus, an automobile manufacturer (OEM) does not need to use a more expensive special MCU for supporting an AB backup function, hardware cost is greatly reduced, and feasibility and economical efficiency of the method are improved.

The invention relates to a parking control method and device, a vehicle and a storage medium, and the method comprises the steps: when the vehicle needs to be parked to an end parking space and the vehicle runs to a parking point of the end parking space, determining a target region for enabling the vehicle to turn around outside the end parking space, and carrying out the parking control of the vehicle on the basis of the parking point and the target region; the method comprises the following steps: determining a U-turn path set corresponding to a vehicle by using a geometric programming algorithm, and determining a target U-turn path corresponding to the vehicle from the U-turn path set, thereby controlling the vehicle to run from a parking point to a target parking point according to the target U-turn path so as to complete the U-turn of the vehicle; and determining a target parking path corresponding to the vehicle by using an A star algorithm, and controlling the vehicle to drive into the end parking space from the target parking point according to the target parking path to complete parking of the vehicle. The problem that the parking time is long due to the fact that the vehicle is parked in the end parking space only through the A star algorithm is solved, and the driving experience of a user is improved.

The invention discloses a driving mode switching method and device based on driver behaviors, equipment and a medium, and relates to the technical field of vehicle control. The method comprises the following steps: acquiring an accelerator treading frequency, an accelerator treading depth, a brake treading frequency and a brake treading depth within a preset time, matching the vehicle speed and the accelerator treading frequency, the accelerator treading depth, the brake treading frequency and the brake treading depth within the preset time with an evaluation function to obtain a driving working condition, and determining the vehicle speed according to the driving working condition. And switching the vehicle driving mode. The driving mode is switched by collecting the driver behavior data and the vehicle speed, analyzing the accelerator and brake operation frequency and depth within the preset time and combining the evaluation function to determine the driving working condition, the driving mode is adaptively switched by adjusting the driver behavior in real time, the driving safety is improved, and the driving experience is improved.

The invention belongs to the technical field of vehicle-mounted electronic equipment, and discloses intelligent vehicle-mounted equipment supporting vehicle-road cooperation application, and the vehicle-mounted equipment comprises a high-precision positioning module, a sensor module, a communication module, a voice interaction module, a data processing and analysis module, and a data storage module. The sensor module comprises a camera and a G-Sensor, the communication module comprises a long-distance communication module and a short-distance communication module, and the voice interaction module comprises a microphone and a loudspeaker; all modules of the vehicle-mounted equipment are matched to realize lane-level navigation service, a driving video recording function and a voice interaction function aiming at consumers, and meanwhile, data of the vehicle-mounted equipment of the consumers can be applied to intelligent management and optimization of urban traffic by an urban traffic management center. According to the invention, low-cost and high-precision vehicle-road cooperation is realized technically, a new possibility is created in a business mode, and powerful support is provided for wide application and marketization progress of the vehicle-road cooperation technology.

The invention provides an accelerator torque self-adaptive control method, device and equipment and a storage medium, and the method comprises the steps that under the condition that the total time of driving circulation of a vehicle is larger than preset time, multiple vehicle running times corresponding to multiple opening degree intervals are determined; target vehicle running time is screened out from the multiple vehicle running time; according to the target opening degree interval corresponding to the target vehicle running time, the basic accelerator torque corresponding to the target opening degree interval is adjusted, and the target accelerator torque is obtained; constructing an accelerator torque mapping table according to the at least one target opening degree interval and at least one target accelerator torque corresponding to the at least one target opening degree interval; and when the running state of the vehicle meets the preset running state requirement, the basic accelerator torque of the vehicle with the accelerator opening degree in different opening degree intervals is adjusted through the accelerator torque mapping table. The basic accelerator torque can be adaptively adjusted according to different working conditions, and the purposes of improving driving experience and reducing oil consumption are achieved.

The invention belongs to the technical field of intelligent recommendation, and discloses a new energy automobile service station active recommendation method and system, and a storage medium. The method comprises the following steps: acquiring a proportion A: B of attention of a user to service site distance and service quality, and forming a user portrait; service sites in the search range are inquired; all services contained in each service site are obtained; obtaining services possibly needed by the user; obtaining associated services thereof; the urgency degree of the service is obtained; according to the user portrait and the urgency degree of the service, the weights of the recommendation indexes are distributed; scoring the service sites, and recommending the service sites to the user according to scores; correcting the user portrait according to the rating of the service site after the user accepts the service and the acceptability of the recommended service site; according to the invention, the demand of a user for a single service is met, a potential consumption environment is created, the service range is extended, the demand of the user is met to a greater extent, and the advantages of a comprehensive service site are embodied.

The invention relates to the technical field of automobile motion control, in particular to a vehicle control method, system and equipment and a medium. Combining the motion state parameter information and the driving state information to determine a theoretical yaw velocity value of the vehicle, calculating a target yaw velocity of the vehicle in a preset motion mode, calculating an additional yaw moment in a preset motion scene according to the target yaw velocity, and calculating a longitudinal moment of the vehicle according to the driving state parameter information, and according to the additional yawing moment and the longitudinal moment, the driving torque of each wheel in the vehicle is calculated, and according to the driving torque of each wheel, the corresponding wheel is controlled to be driven. In the application, the additional yaw moment is calculated according to the running mode and the running scene of the vehicle, so that the vehicle is adaptively matched with different operation characteristics according to different running modes and running scenes, and the performance of the vehicle in different running modes and running scenes is controlled, thereby realizing a more personalized manipulation feeling and a more excellent driving experience.

The embodiment of the invention provides a range extender parameter calibration method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining target test data of a range extender, the test data comprises a plurality of first engine rotating speed values and a plurality of first engine torque values of the range extender under a plurality of target output powers, constructing a first corresponding relation between the heat efficiency of the range extender and the rotating speed of the engine, and obtaining a constraint condition of the first corresponding relation; and determining a target engine torque value and a target engine rotating speed value corresponding to each target output power in the plurality of first engine rotating speed values and the plurality of first engine torque values. According to the embodiment of the invention, not only can the efficiency of determining the target engine torque value and the target engine rotating speed value required by the actual working target output power of the range extender be improved, but also the heat efficiency of the range extender and the influence of noise and vibration generated by the range extender can be considered.

The invention relates to the technical field of auxiliary driving, in particular to an auxiliary driving method and system based on artificial intelligence. The method comprises the following steps: S1, generating an abnormal event image recognition result; s2, event area information is generated; s3, generating a preferable detour path; s4, generating a path experience evaluation result; s5, generating a detour scheme recommendation; and S6, generating a driving assistance prompt. The system comprises an abnormity identification module, an area delimiting module, a path analysis module, a path selection module, a path simulation module, an evaluation sorting module and a navigation prompting module. According to the method, the decision-making process of auxiliary driving is optimized through the random forest algorithm, the priority of the detouring scheme can be dynamically adjusted according to the current traffic condition through the Q learning algorithm, the driving experience and safety are optimized, the intelligent decision-making ability of auxiliary driving is improved, errors caused by manual operation are reduced, and the traffic safety and the road use efficiency are improved.

The invention discloses a real-time analysis method and system based on brake data, and relates to the technical field of automobile braking, and the method comprises the following steps: mode determination: obtaining real-time operation data of a vehicle braking system, and identifying and determining a brake behavior mode of a driver; mode matching: setting a plurality of predefined brake system response models, and automatically matching the brake behavior mode of the driver with the brake system response models; and interactive adjustment: interacting the matched brake system response model with the simulation brake model, displaying a simulation result of the simulation brake model through a display interface, and adjusting the vehicle brake system according to the simulation result. The braking behavior mode of the driver is analyzed in real time, and the braking system response model is automatically adjusted, so that the braking performance of the vehicle better conforms to the current driving condition, and the driving safety is improved.

The invention provides a vehicle steering gear rack force determination method and device, a vehicle and a storage medium, and is applied to the technical field of vehicle control. The method comprises the steps that motion parameters of a vehicle at the current moment are obtained, the motion parameters are input into a pre-constructed rack force determination model, and the steering gear rack force of the vehicle at the current moment is obtained. By means of the method, more accurate determination of the rack force is achieved, the control precision of a steering system and the stability and safety of a vehicle are improved, and the driving experience and the energy-saving effect are optimized.

The embodiment of the invention provides a vehicle control method and device and electronic equipment, and relates to the technical field of vehicles. The method comprises the steps of determining a target basic acceleration according to a current accelerator depth; according to obtained user demand information, determining a target adjustment amount corresponding to the target basic acceleration, the user demand information being used for indicating a target driving environment and / or a target experience level of the user; obtaining a target acceleration according to the target basic acceleration and the target adjustment amount; and controlling the running speed of the vehicle according to the target acceleration. Therefore, the vehicle can be controlled based on the demand of the player, so that the driving experience of the player is improved, and the strong relevance between the driving stimulation and the driving skill is decoupled.

The invention discloses an auxiliary driving control method and device through a construction road, equipment and a storage medium, and relates to the technical field of intelligent driving, and the method comprises the steps: obtaining cloud construction information and perceived road condition information; performing credibility judgment on the cloud construction information based on the sensed road condition information; when the judgment result is credible, performing collision prediction on the vehicle based on the sensed road condition information and the cloud construction information; and when the collision prediction result is that collision possibly occurs, auxiliary control is performed on the vehicle, and the change of a construction road can be quickly responded, so that accidents are reduced and the driving experience is improved.