634 results about "Braking distance" patented technology

The invention belongs to the field of road vehicle control systems, and relates to a method for predicting the risk of collision between an electric bicycle and a vehicle based on the multi-modal behavior of the electric bicycle, which utilizes physical modeling and takes the influence of the braking distance and the transverse and longitudinal stability of the electric bicycle on the vehicle as a basic risk; automobile risks caused by the environment are further considered, and multi-dimensional environment risk assessment modeling is carried out by integrating four dimensions of dynamic distance-speed, adjacent vehicle types, traffic flow density and weather conditions (precipitation, temperature, wind speed and visibility); the risk of electric bicycle operation behaviors (acceleration change and steering angle and frequency) to the automobile is combined; the complex relation between the environment change and the whole vehicle risk is captured in real time by using the environment sensitivity coefficient, and finally a set of comprehensive, accurate and real-time multi-dimensional comprehensive risk assessment method is provided for the vehicle for the multi-mode riding behavior of the electric bicycle, so that the collision risk in the complex traffic flow environment is reduced.

An apparatus for measuring the stopping distance of a working machine is provided. The working machine includes a user interface, at least one processor, and at least one memory including a computer program code. The at least one memory and the computer code are configured to, with the at least one processor, cause the apparatus at least to: receive at least one speed parameter based on at least one user input on the user interface, receive at least one speed information value from a controller or the engine control unit of the working machine, send at least one command to the controller or the engine control unit to at least stop the working machine when the received speed information value is equal to the at least one speed parameter, and calculate the stopping distance of the working machine. A method and a system are also disclosed.

The invention discloses an intelligent networked automobile AEB system based on an improved TTC model and a control strategy of the intelligent networked automobile AEB system. The control strategy comprises the following steps that S1, a data acquisition module acquires sensor data in real time and transmits the sensor data to a safe automobile distance judgment module; s2, calculating collision time Tttc by a safe vehicle distance judgment module; s3, calculating a dynamic safe distance Dego by a safe vehicle distance judgment module; s4, the safe vehicle distance judgment module calculates the braking distance which should be reserved in the vehicle driving process; s5, a safe vehicle distance judgment module calculates graded braking threshold values Ti, Tj and Ts; s6, a safe vehicle distance judgment module judges whether a collision risk exists or not according to the improved TTC trigger logic; s7, if the risk threshold is triggered, entering a grading early warning control module, and outputting corresponding strategies under different risks according to risk grades; the method solves the problems that a dynamic safety distance is lacked and a graded braking threshold value is statically set, and is suitable for more complex scenes with different vehicle speeds, road conditions and driving environments.

The invention discloses a converter body mounting and positioning system and method based on a buggy ladle, and belongs to the technical field of converter mounting and positioning. According to the converter body mounting and positioning system, the position detection device is used for detecting whether position deviation exists on the two sides of the converter body or not in the in-place conveying process and detecting the alignment condition of the converter body and bolt mounting holes in a converter support; when the converter body has installation position deviation, the steel rail on the corresponding side is clamped through the speed reduction clamping device; when the converter body reaches the braking distance, the steel rails on the two sides are clamped at the same time, and simultaneous speed reduction of the single side or the two sides of the buggy ladle is achieved; and after the converter body is in place, the steel rail is clamped and locked through the brake locking device, so that parking brake of the buggy ladle is realized. In the conveying process of the converter, through accurate control and auxiliary braking of the buggy ladle, high-precision automatic in-position of the converter body can be achieved, and the installation efficiency and the installation precision are improved.

The invention discloses an automatic emergency braking control method and device based on a black spot technology and a vehicle. When the vehicle enters a black spot area, the vehicle obtains an optimal active braking parameter to correct the active braking parameter of the vehicle, and automatic emergency braking is executed based on the corrected active braking parameter; the method for obtaining the optimal active braking parameters comprises the following steps: dynamically delimiting a black spot area according to multi-dimensional data when emergency braking of each vehicle is triggered; obtaining the multi-dimensional data in the black spot area; and obtaining the optimal active braking parameters based on the vehicle speed, deceleration fluctuation, braking distance, vehicle weight and environment information during emergency braking. And the optimal active braking parameter when emergency braking is triggered in the black spot area is obtained. According to the method, the black spot technology is combined, the black spot area is established, ADAS program upgrading is conducted on the vehicle entering the black spot area, the vehicle can better adapt to the vehicle condition and the road condition in the area, the active braking curve is optimized, the comfort degree is improved, the situation that braking is not stopped after the automatic emergency braking function is triggered is reduced, and safety is improved.

The invention discloses a long-distance rail identification and obstacle detection method and system, and the method comprises the steps: combining a long-focus optical system with an ultra-high-speed industrial camera at a hardware level, and building a high-collection-frame-rate and long-distance optical detection system; on the software level, a region of interest for obstacle detection is delimited according to recognition and visual segmentation of left and right rail lines of a rail, advanced visual tasks such as a rail obstacle intrusion detection algorithm based on target detection are executed, and finally high-frame-rate recognition and detection of long-distance rails and rail obstacles are achieved. According to the invention, a Schmidt-Cassegrain optical system with a focal length of 2000mm is used, and an ultra-high-speed industrial camera with a resolution of 1920 * 1080 and 3000 frames per second is combined to build a long-distance high-frame-rate optical detection platform which is erected on a driving position of a train to detect railway conditions within a range of 6km in real time; serious accidents caused by overlong braking distance due to high-speed running of the train can be prevented. Compared with a traditional train driver eye observation and laser radar-based scanning imaging mode, a farther detection distance, better detection and recognition robustness and a higher frame rate can be realized through the long-distance optical observation platform and the rear-end real-time detection system.

The invention relates to an electric drive semitrailer grading AEB control decision-making method considering road surface factors, and the method comprises the following steps: S1, enabling a vehicle to obtain front vehicle information and road surface information through a sensor, a high-precision map and other ways, calculating a correction adhesion coefficient through combining with the state of the vehicle, and determining the maximum gradient limit; s2, outputting a maximum braking deceleration correction factor through fuzzy control by taking the correction adhesion coefficient and the gradient as input; s3, according to the advantages and disadvantages of the road surface working conditions and the maximum braking deceleration correction factor, the maximum braking deceleration is calculated according to the working conditions; s4, calculating a safe braking distance and collision time according to the current state of the vehicle and the speed and distance of the front vehicle; and S5, the collision time is used for early warning decision making, the safety braking distance is used for emergency braking decision making, the corrected maximum braking deceleration serves as a full-force braking target value, and graded AEB control is achieved. According to the method, road surface factors are fully considered, vehicle safety can be guaranteed under different attachment conditions and slope road surfaces, and the braking stability is remarkably improved.

The invention discloses a vehicle, a control method and device thereof and an AEB controller, and relates to the technical field of vehicle control. According to the method, the center-of-gravity position of the vehicle can be obtained, and the braking acceleration of the AEB system of the vehicle can be flexibly adjusted based on the center-of-gravity position. The adjusted braking acceleration is the maximum braking acceleration that enables the yaw stability degree of the vehicle to be greater than a degree threshold value when braking is performed at the center-of-gravity position. Moreover, under the condition that the distance between the vehicle and the target obstacle in front of the vehicle is smaller than the safe braking distance, the method can control the vehicle to brake according to the adjusted braking acceleration. Therefore, according to the method provided by the invention, the gravity center position of the vehicle can be considered during braking, so that high yaw stability of the vehicle during braking can be ensured by adopting the braking acceleration adjusted based on the gravity center position for braking, and the safety of the vehicle during braking is improved.

The invention discloses an AGV safety control method for intelligent warehousing, and relates to the technical field of intelligent warehousing, and the method comprises the following steps: constructing a global three-dimensional load distribution diagram of an automatic guided vehicle in real time through the fusion of a laser radar and an inertial measurement unit, and outputting a mass distribution matrix; based on the mass distribution matrix, millimeter wave Doppler tomography is superposed, the barycentric coordinates are dynamically corrected, and a corrected mass distribution matrix is obtained; and inputting the corrected mass distribution matrix into a braking dynamic prediction engine, and generating a prediction curve of an adaptive braking distance and braking response time in combination with online inversion estimation of a ground friction coefficient. Through the digital twin simulation and micro-pulse pre-braking strategy, the risk of inertial collision and cargo overturning is effectively reduced, a storage scheduling system is controlled in parallel, path reconstruction and driving priority dynamic adjustment are achieved, and global safety and efficient scheduling of intelligent storage are guaranteed.

The invention discloses an auxiliary driving method and device and intelligent driving equipment, and the method comprises the steps: obtaining weather information which indicates the weather type and / or road surface type of the current environment of the intelligent driving equipment; wherein the first weather type comprises one or more of a weather type for limiting visibility of a driver, a weather type for limiting sensing capability of a sensing system, or a weather type for increasing a braking distance of the intelligent driving equipment, and the first road surface type comprises a road surface type for increasing the braking distance of the intelligent driving equipment; according to the first environment information, a prompt device of the intelligent driving equipment is controlled to prompt a driving suggestion, and the driving suggestion comprises a driving strategy corresponding to the first environment information. The method can be applied to vehicles such as intelligent vehicles and new energy vehicles, and when severe weather influencing driving safety is detected, the vehicle user can be prompted about related information in time, so that the influence of the severe weather on driving is reduced.

The invention discloses a braking control optimization method and system combined with vehicle multi-state perception, and belongs to the technical field of vehicle intelligent control, and the method comprises five steps of multi-source data acquisition, data preprocessing, multi-state risk modeling, multi-target braking force distribution and braking control optimization. Based on a tire dynamic model and a semantic physical double-source weighting mechanism, generating high-precision vehicle multi-state sensing feature data; a multi-state risk modeling method based on path prediction and a physical constraint model is combined with a dynamic risk weight adjustment mechanism to calculate a comprehensive target deceleration; a multi-objective optimization function including the braking distance, the stability and the tire reliability is constructed, and four-wheel braking force distribution and coaxial cooperative control are carried out; and pressure control is executed according to the optimization result, and brake control optimization is achieved. According to the method, real-time self-adaptive adjustment of the brake control strategy can be achieved under the complex environment and multiple working conditions, and the safety, stability and response precision of braking are improved.

The invention relates to the technical field of traffic safety evaluation, and discloses a regional traffic safety operation evaluation index algorithm, which comprises the following steps of: 1, data collection: collecting brake data of vehicles in a region through a vehicle traveling data recorder and other vehicle data collection equipment; according to the regional traffic safety operation evaluation index algorithm, braking data, including multi-dimensional information such as vehicle identification, braking time, braking position, braking speed, braking distance and braking type, of vehicles in a region are collected through a vehicle traveling data recorder and other vehicle data acquisition equipment, and the data are collected and utilized to obtain the evaluation index of the regional traffic safety operation. Therefore, traffic safety evaluation is no longer limited to traditional traffic accident statistical data, but dynamic behavior information of the vehicle in the driving process can be deeply excavated, for example, by analyzing the braking speed and the braking distance, the braking performance and the safety risk of the vehicle under different road conditions can be more accurately evaluated.

The invention discloses an energy management system and method based on distributed braking and a vehicle, and belongs to the technical field of electric vehicles. The sensor array unit is used for collecting the vehicle acceleration, the wheel rotating speed, the wheel vertical load and the road friction coefficient; a wheel vertical load and a road friction coefficient are obtained through a wheel control unit, and the real-time maximum braking force is calculated; the vehicle acceleration, the real-time maximum braking force and the wheel rotating speed are obtained through a central control unit, the vehicle required braking force is calculated according to the vehicle acceleration and the vehicle mass, and according to the real-time maximum braking force, the distribution coefficient is dynamically adjusted, and the vehicle required braking force is distributed to all wheels; according to the wheel rotating speed, the energy recovery efficiency and the regenerative braking torque are combined, and the energy recovery power is determined. Under emergency braking or complex road conditions, the stability of the vehicle can be better maintained, the braking distance can be better shortened, and the problem that an existing electric vehicle cannot deal with road emergency situations to conduct stable braking and energy recovery is solved.

The embodiment of the invention provides a vehicle aerodynamic resistance control method and device, a vehicle and a storage medium, the vehicle comprises air supply equipment and an empennage which are arranged at the tail, and the method comprises the steps that the vehicle speed and the tail static pressure of the vehicle are obtained, and the braking state of the vehicle is determined; judging whether the vehicle meets an aerodynamic resistance reduction condition or not according to the vehicle speed and the tail static pressure of the vehicle; according to the vehicle speed and the vehicle braking state, whether the vehicle meets the aerodynamic resistance increasing condition or not is judged; if the vehicle meets the aerodynamic resistance reduction control condition, air supply equipment and an empennage of the vehicle are adjusted to reduce the aerodynamic resistance of the vehicle; if the vehicle meets the control condition for increasing the aerodynamic resistance, the aerodynamic resistance of the vehicle is increased, so that the aerodynamic resistance of the vehicle can be controlled in real time by controlling the air supply equipment and the empennage mounted at the tail part of the vehicle, and the aerodynamic resistance is reduced when the vehicle runs at a high speed so as to improve the endurance; and when the vehicle is braked, the pneumatic resistance is increased to shorten the braking distance.

The invention relates to the technical field of forklift control, and discloses a control system and a control method of a standing plate type pallet truck. A pressure state signal of a hydraulic oil way is obtained through a pressure switch, a load state is judged, and a power mode is selected through a mode selection switch; and the controller controls the forklift to run according to the set acceleration running curve or brake according to the braking running curve according to different vehicle running states. The pressure switch is used for recognizing the light-load and heavy-load working conditions of the vehicle, the maximum speed of the light load of the vehicle is increased according to different load conditions and different power modes, the braking distance of the vehicle under different loads and the running stability of the vehicle are ensured, and the service life of the vehicle is prolonged. Therefore, the working efficiency of the vehicle is improved, the purposes of smooth driving and safe and smooth braking of the vehicle are achieved, and various control requirements of a user on high efficiency, safety, comfort and the like of the vehicle under different working conditions are met.

The invention relates to the technical field of vehicle safety, and discloses an intelligent safety early warning and emergency braking linkage device for an electric motorcycle. According to the device, the driving state and the surrounding environment of the motorcycle are monitored in real time by integrating various sensors, the relative distance between the motorcycle and an obstacle, the braking distance and the acceleration change rate can be accurately calculated, so that timely early warning of potential dangers is achieved, when abnormal conditions are detected, safety early warning signals can be rapidly sent out, and the safety of the motorcycle is guaranteed. The anti-lock braking system has the advantages that the anti-lock braking system is linked with the anti-lock braking system, emergency braking is automatically executed, the response time of a rider in emergency is effectively shortened, the risk of misjudgment is effectively reduced, the user feedback module provides real-time state information and safety suggestions for the rider through a networking data screen, the safety awareness and the coping capacity of the rider are further enhanced, and the safety of the rider is improved. According to the device, the active safety protection level of the motorcycle is improved, the accident rate can be reduced, and a safer travel environment is created for a rider.

The invention provides a vehicle control method and related equipment. The vehicle control method comprises the steps that driving environment parameters, driving state parameters and historical characteristic parameters of a current vehicle are obtained; performing data processing on the driving environment parameters, the driving state parameters and the historical characteristic parameters to obtain target data; predicting a target distance of the current vehicle according to the target data, wherein the target distance comprises at least one of a vehicle following distance and a braking distance; and controlling the current vehicle to run according to the target distance. According to the invention, the determination precision of the following distance and the braking distance of the vehicle is improved.

The invention belongs to the field of wind power equipment transportation, and provides a wind power large piece transportation path intelligent planning system and method based on deep learning, and the method comprises the steps: obtaining terrain DEM data in a wind power plant range, and converting the terrain DEM data into three-dimensional vector data and three-dimensional vertex coordinates; receiving the three-dimensional vertex coordinates, constructing a road network topological structure representation based on a homotopy theory, extracting microscopic local features and a macroscopic global structure of a road network through a multi-level graph neural network, and realizing dynamic representation and updating of the road network based on manifold learning; receiving the road network topological structure representation and the road network features, and generating a vehicle dynamics constraint condition and a road section geometric difficulty coefficient by comprehensively considering the maximum climbing angle, the maximum turning angle, the maximum speed and the braking distance of the vehicle; and receiving the road network dynamic representation, the vehicle dynamics constraint condition and the road section geometric difficulty coefficient, and generating an optimal transportation path with balanced safety, time efficiency and transportation cost by adopting a multi-target reinforcement learning algorithm.

A vehicle interactive tail light control method, comprising: acquiring first image information of an area behind a target vehicle, and on the basis of the first image information, determining whether there is a following vehicle behind the target vehicle; when there is a following vehicle behind the target vehicle, determining driving environment information around the target vehicle on the basis of the first image information, and determining a first vehicle speed of the following vehicle and a first distance between the following vehicle and the target vehicle on the basis of the first image information; predicting a braking distance of the following vehicle on the basis of the driving environment information and the first vehicle speed, and determining whether the braking distance is greater than or equal to the first distance; and when the braking distance is greater than or equal to the first distance, acquiring preset early warning content and controlling a vehicle interactive tail light of the target vehicle to display the early warning content. Further provided are a vehicle interactive tail light control system, an electronic device, a storage medium, and a vehicle. The vehicle interactive tail light control method and system, the electronic device, the storage medium, and the vehicle can improve the accuracy and reliability of vehicle following early warning.

The invention discloses an automatic software testing system for intelligent anomaly detection, and particularly relates to the technical field of anomaly detection. According to the method, a conventional operation scene and a limit operation scene are distinguished, differential detection indexes are designed according to core requirements of the two scenes, in the conventional scene, fine deviation is quantified through the speed deviation average rate, the offset distance average value and the force control deviation value, and in the limit scene, the differential detection indexes are calculated. Performance degradation under extreme conditions is evaluated through the motor abnormal value, the vibration abnormal value and the braking distance, the problem that adaptation to different scene characteristics is insufficient in the prior art is solved, and the detection precision is remarkably improved.

An apparatus for forward collision avoidance of a host vehicle includes a first sensor configured to detect a front of a vehicle; a second sensor configured to a speed of the host vehicle; and a controller that is communicatively connected to the first sensor and the second sensor and is configured to generate a collision warning based on a braking distance of the host vehicle and a braking tendency of a driver of the host vehicle.

The invention discloses an agricultural machinery braking performance detector based on a Beidou satellite single-point positioning mode, and belongs to the technical field of braking performance detection. The agricultural machinery braking performance detector comprises a signal collector and a host, and the signal collector is internally provided with a satellite signal receiving module compatible with a BDS and a GPS; a sequence parameter extraction module, an integral distance measurement module, an error correction module, a slope calculation module and a performance evaluation module are arranged in the host; the method comprises the following steps: collecting three-dimensional motion data of a detected agricultural machine, calculating an uncorrected braking distance by using a complex Simpson integral algorithm, obtaining an error correction distance caused by single-point positioning signal drift based on a back propagation neural network, calculating the braking distance of the agricultural machine in combination with a slope correction value, and finally judging that the braking performance of the detected agricultural machine is qualified. According to the method, a ground differential base station and an external supporting assembly do not need to be erected, the problem that field detection deployment is tedious is solved, signal drifting and road slope interference are eliminated, and detection convenience and accuracy are improved.

The invention relates to the field of charging pile safety detection, in particular to a charging pile anti-collision real-time decision analysis method and system based on edge calculation. The method comprises the following steps: acquiring real-time radar monitoring data of a millimeter wave radar, analyzing the real-time radar monitoring data through edge calculation, and determining a vehicle movement trend and a current state of the vehicle; determining a collision risk according to the vehicle movement trend and the current state of the vehicle; and performing collision early warning according to the collision risk and a preset early warning mechanism. And an emergency scene is accurately identified. The early warning triggering time is calculated according to the current speed and the braking distance of the vehicle in combination with the reaction time preset by the driver, the early warning triggering distance and the actual braking requirement can be improved, and the problem of warning when the fixed distance is too early or too late is solved; and finally, when the collision risk exceeds a preset early warning mechanism, collision early warning is carried out, so that the early warning triggering time is shortened, and timely response to the sudden risk is ensured.

The invention provides an ABS remaining distance judgment method and system based on vehicle conditions and self-adaptive estimation, and belongs to the technical field of automobile braking safety. Comprising the steps that multiple braking influence parameters under the actual vehicle condition are collected and calculated in real time, and a multiple linear regression model is constructed to preliminarily estimate the residual braking distance; a self-adaptive correction algorithm is adopted, and a corresponding correction factor is introduced according to the driving state for correction, so that a corrected residual braking distance estimated value is obtained; and optimizing the corrected residual braking distance estimation value by adopting a Kalman filtering algorithm so as to obtain a final ABS residual distance judgment result. According to the method, the estimation mode of the residual braking distance of the ABS can be adaptively adjusted according to the actual vehicle condition and the driving state of the vehicle, so that the judgment accuracy is improved, and more reliable data support is provided for safe driving of the vehicle.

The invention provides a brake capacity detection method, device and equipment, and belongs to the technical field of brake detection. The method comprises the following steps: acquiring strain data and braking distance of a strain sensor of drilling equipment under different working conditions; and constructing a regression model based on the strain data and the braking distance of the drilling equipment under different working conditions. And detecting the braking capacity of the brake caliper arm based on the regression model. According to the method, a regression model is constructed based on strain data and braking distances of drilling equipment under different working conditions. The brake capability of the brake caliper arm is detected on the basis of an accurate mathematical model (regression model) for describing the brake capability of the drilling equipment. Therefore, manual measurement is not needed, and the defects that a traditional testing method is inaccurate in data, time-consuming, labor-consuming, poor in timeliness and capable of affecting production operation during testing are overcome. According to the invention, accurate, real-time and efficient brake capability testing is realized.

The invention relates to the technical field of data processing, in particular to a train operation anomaly detection method based on multiple data, and the method comprises the steps: collecting data; determining a suspicious section; determining a section of interest; brake abnormal risks are judged, and high risks are determined; and adjusting preset parameters and sending a deceleration prompt. The method comprises the following steps: acquiring various key data in real time, finding out a suspicious section according to an airflow short-circuit index, determining a concerned section by combining the airflow short-circuit index, water vapor concentration and track humidity, judging the abnormal brake risk by combining the running speed, the brake distance and the track humidity of the concerned section, and calculating the risk index grade through related data. According to the method, the high braking risk is accurately positioned, finally, the preset parameters are adjusted according to the high braking risk section, the high braking risk is determined again, a deceleration prompt is given out, and the problems of low parking accuracy and low risk identification accuracy caused by continuous heavy rainfall weather are effectively solved.

The invention relates to the technical field of electric car braking, and discloses an electric car braking system based on multi-redundancy guarantee and self-adaptive control and a control method, and the electric car braking system comprises a redundant circuit module, a distributed driving module, an efficient transmission module and a self-adaptive control center. The reliability is remarkably improved, seamless switching of a main circuit and a standby circuit within 50 ms is achieved through a circuit dual-redundancy architecture, the distributed multi-motor driven torque reconstruction algorithm is matched, the braking efficiency retention rate under a single fault is improved, the circuit fault survival rate reaches 100%, the braking efficiency and safety are optimized, the mechanical loss is reduced to 8% or below through an efficient transmission module, and the reliability is improved. The braking distance of 100 km / h is shortened to 29 m, the energy utilization efficiency is improved, the energy consumption is further reduced through the low-friction transmission design, the dynamic adaptability and the collaboration are enhanced, a self-adaptive control center solves the multi-system instruction conflict through multi-sensor fusion and fuzzy PID adjustment with the sampling frequency of 1 kHz, the braking stability is improved by 40% or above, and the braking stability is improved by 20% or above. And the response time of the key control instruction under the emergency working condition is shortened to 75mS.

The invention discloses a formation cooperative tracking control method and device, equipment, a medium and a product, and relates to the field of tracking control. The method comprises the following steps: acquiring operation data of a virtual marshalling train; inputting the operation data into the deep neural network dynamic model, and updating dynamic model parameters; determining an elastic optimal control objective function of the virtual marshalling train based on an elastic interval evaluation model according to the train operation data and the updated dynamic model by adopting a reinforcement learning method; the elastic interval evaluation model is a mathematical model for calculating a safe following distance based on a relative braking distance between two adjacent trains so as to set interval following distance cooperative operation; and solving the elastic optimal control objective function by adopting a cross entropy algorithm to obtain a control sequence so as to perform formation cooperative tracking control on the virtual marshalling trains. The invention aims to improve the accuracy and stability of formation cooperative tracking control.

Coupling device for connecting a brake input element (16) to a master brake cylinder (10) of a vehicle, comprising: an input piston (14) which can be arranged on the brake input element (16) in such a way that the input piston (14) can be adjusted by a braking distance (s) from an initial position (s0) upon actuation of the brake input element (16); and an output piston (12) to which a driver braking force (Ff) exerted on the brake input element (16) can be transmitted via the input piston (14) which is adjusted from its initial position (s0) by a braking distance (s) of at least a predetermined first minimum braking distance, and which can be arranged on the master brake cylinder (10) in such a way that an internal pressure in the master brake cylinder (10) can be increased by means of the driver braking force (Ff) transmitted to the output piston (12) via the input piston (14); wherein, at least in a first operating mode of the coupling device, the input piston (14) adjusted from its initial position (s0) by a braking distance (s) smaller than the first minimum braking distance is spaced from the output piston (12) in such a way that a force transmission from the input piston (14) to the output piston (12) is prevented; wherein the coupling device can additionally be converted into at least one second operating mode with a second minimum braking distance less than the first minimum braking distance, wherein in the second operating mode of the coupling device the input piston (14), which is adjusted from its initial position (s0) by a braking distance (s) less than the second minimum braking distance, is spaced from the output piston (12) in such a way that force transmission from the input piston (14) to the output piston (12) is prevented, and the driver braking force (Ff) can be transmitted to the output piston (12) via the input piston (14), which is adjusted from its initial position (s0) by a braking distance (s) between the second minimum braking distance and the first minimum braking distance; and wherein the coupling device comprises a control device (50) by means of which the coupling device can be transferred from at least the first operating mode with the first minimum braking distance into at least the second operating mode with the second minimum braking distance smaller than the first minimum braking distance; characterized in that the coupling device comprises an adjustable force transmission component (52) attached to either the output piston (12) or the input piston (14), and the control device (50) is additionally designed to control an actuator of the power transmission component (52) by means of a control signal (54) such that the power transmission component (52) is transferred from a retracted position of the first operating mode into at least one extended position of at least the second operating mode.

The invention provides a virtual marshalling train minimum tracking spacing generation method based on parameter identification. The method comprises the following steps: acquiring actual operation data of a virtual marshalling train, wherein the actual operation data comprises train operation time, train operation speed, train mass and train braking force; establishing a virtual marshalling train dynamic model by considering the braking force, the basic resistance and the random interference of the train, and performing parameter identification on the virtual marshalling train dynamic model by applying a polynomial regression algorithm based on the actual operation data of the train; and predicting a braking track of the virtual marshalling train based on the dynamic model of the virtual marshalling train after parameter identification, and obtaining the minimum tracking distance of the virtual marshalling train based on the braking tracks of the front train and the rear train in the virtual marshalling train. According to the method, the improvement of a virtual marshalling train control strategy is realized, and compared with a method for realizing a relative braking distance by adopting a fixed braking rate, the method has the advantages that the train tracking distance is shortened, and more efficient and safer train operation is realized.