1537results about "Braking systems" patented technology

The invention discloses a vehicle braking pitching control method, a controller, a vehicle and a storage medium, and belongs to the technical field of automobiles. The method comprises the following steps: acquiring braking data of a target vehicle; under the condition that it is determined that the braking pitching event occurs, a target braking pitching control mode is determined based on the braking data; generating a target pitching control parameter based on the target braking pitching control mode; the target pitching control parameters comprise target suspension damping, target suspension rigidity, target impact degree, target total braking force, target front axle braking force and target rear axle braking force; and controlling the braking process of the target vehicle based on the target pitching control parameter. According to the vehicle braking pitching control method disclosed by the invention, the control effect of the vehicle braking pitching phenomenon is improved.

The invention relates to the technical field of brake-by-wire, and provides a self-adaptive fluid infusion control method, device and equipment for a brake-by-wire system. The method comprises the steps that when a to-be-controlled vehicle enters a braking mode, the deceleration and the running speed of the to-be-controlled vehicle are obtained; according to the deceleration, the road surface type of the road surface where the to-be-controlled vehicle is located is recognized, and the road surface type is the type obtained by dividing the road surface based on the adhesion coefficient; and determining a liquid supplementing strategy according to the road surface type and the driving speed, and controlling the to-be-controlled vehicle to supplement liquid based on the liquid supplementing strategy. The method has the core advantages that the attachment type of the current road surface is recognized by obtaining the deceleration and the driving speed of the vehicle, and the optimal liquid supplementing strategy is selected accordingly. According to the method, the inherent defect that a traditional fixed parameter fluid infusion strategy is single in performance under different road conditions is overcome, and the performance optimal balance within the full working condition range is achieved. The intelligent self-adaptive mechanism greatly improves the comprehensive performance and the driving experience of the brake-by-wire system.

The invention relates to a comfortable braking control method and device, electronic equipment and a storage medium. The comfortable braking control method comprises the steps that driving state data of a vehicle and physical parameters of the vehicle are obtained; according to the driving state data and the physical parameters of the vehicle, the required braking force needed by parking the vehicle on the current road surface is determined; determining the maximum distribution proportion of the braking force of the rear axle according to the driving state data and the required braking force; determining a front axle target braking force and a rear axle target braking force based on the maximum distribution proportion of the required braking force and the rear axle braking force; and controlling the vehicle to perform comfortable braking according to the front axle target braking force and the rear axle target braking force. According to the embodiment of the invention, longitudinal comfortable braking can be realized, energy accumulation of the suspension in the braking process is reduced, the situation that the vehicle is nodding during braking and parking is avoided, vehicle instability caused by too large slip rate of rear axle wheels can be avoided, the acceleration and acceleration fluctuation are reduced, the comfort is improved, and the safety in the comfortable braking process is ensured.

The bogie weighing device comprises a weighing valve and a force transmission mechanism, an air inlet of the weighing valve is communicated with an auxiliary air cylinder, an air outlet of the weighing valve is communicated with a distribution valve in a vehicle braking system, the weighing valve is fixed to a framework of a vehicle bogie, and the force transmission mechanism is connected with the framework and can rotate around a connecting point. One end of the force transmission mechanism is connected with the weighing valve, and the other end of the force transmission mechanism is connected with the hanging bracket. Stepless regulation of vehicle braking can be achieved.

The invention relates to a vehicle braking method based on a road adhesion coefficient, and the method comprises the steps: 1, carrying out the real vehicle data collection, and punching a uniform timestamp through a clock source; 2, uniformly converting all the collected data into a vehicle coordinate system; 3, inputting the collected data into a preset deep learning regression model to obtain a predicted value of an attachment coefficient, generating a typical attachment coefficient representing the type of road, and adding the typical attachment coefficient into a preset road attachment coefficient query table; 4, the current road type is recognized, the corresponding typical attachment coefficient is called from the road attachment coefficient query table, the vehicle following distance is adjusted, and the braking deceleration is formulated; 5, analyzing to obtain the maximum adhesion potential of the current road surface; and 6, the original road adhesion coefficient is corrected, and the final braking deceleration is assigned to the current road so that the vehicle can conduct deceleration braking according to the assigned value.

The embodiment of the invention provides a control unit and a control method for comfortable braking of a vehicle. The control unit comprises: a detection module configured to detect a driving behavior of a vehicle to obtain a first detection result, detect a road condition of a vehicle driving road to obtain a second detection result, and detect a driving state of the vehicle to obtain a third detection result; the processing module is configured to judge whether a triggering condition of a virtual sensor for calculating the vehicle load is met or not based on the first detection result, the second detection result and the third detection result; if it is judged that the triggering condition is met, a virtual sensor is adopted, and the vehicle load state is obtained based on multiple sets of parameters representing the current state of the vehicle; and a comfort braking module configured to determine an adjustment to a comfort braking parameter of the vehicle based on the vehicle load condition.

A vehicle and a control method and apparatus therefor, a storage medium, and a computer program product, relating to the technical field of vehicles. The control method for a vehicle comprises: correcting an ideal yaw rate on the basis of desired steering characteristic information; obtaining an additional yaw moment on the basis of an ideal sideslip angle, the corrected ideal yaw rate, and an actual sideslip angle and an actual yaw rate of a vehicle; and performing torque distribution on the basis of the additional yaw moment. In the method, the ideal yaw rate is corrected on the basis of the desired steering characteristic information, so that, on the basis of the ideal sideslip angle, the corrected ideal yaw rate, and the actual sideslip angle and the actual yaw rate of the vehicle, variable steering characteristics of the vehicle are achieved by means of torque control, thereby enabling the vehicle to obtain higher steering sensitivity.

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 discloses an enhanced braking system for a mountain railway vehicle, which relates to the technical field of railway vehicle braking control, and comprises the following steps: acquiring a rail position vector and an arc length, calculating a rail curvature and a rail gradient, and combining the current speed and the target speed of the vehicle to solve a braking demand acceleration value and generate a gradient parameter and a curve parameter; according to the braking force distribution proportion, a wheel rail hydraulic braking torque value is adjusted, the meshing depth and the vibration frequency of a rack rail brake are controlled through a rack rail action instruction, and a wheel rail system state report and a rack rail work log are generated; and gradient parameters, actual adhesive force numerical values and toothed rail meshing efficiency in the braking process are extracted from a wheel-rail system state report and a toothed rail work log, and closed-loop optimization is carried out in combination with a terrain braking curve. Self-learning and self-adaptive adjustment are carried out on the braking process through closed-loop feedback and parameter optimization, so that the energy utilization efficiency is improved and the service life of key components is prolonged while the braking efficiency is guaranteed.

The invention discloses a redundant braking control method of an automatic driving vehicle and a storage medium, which are applied to a vehicle control unit. According to the method, when it is detected that an automatic driving module, anti-collision early warning or remote monitoring triggers a braking demand, the target deceleration is calculated in combination with the vehicle speed and the obstacle distance. By collecting the actual acceleration, the parking air chamber air pressure and the motor torque, the total braking force is estimated, the electronic parking braking force is separated out, and then the road adhesion coefficient is calculated. And in the redundant braking mode, according to the target deceleration, the attachment condition and the capacity upper limit of the two systems, performance indexes including deceleration deviation and a parking penalty term are constructed, and the target motor deceleration and the target electronic parking deceleration are obtained through joint distribution. And finally, the target parking deceleration is converted into target air pressure through the deceleration air pressure mapping table containing the online correction amount, the air pressure is adjusted through closed-loop control, and accurate and stable redundant service braking is achieved.

The invention belongs to the technical field of vehicles, and particularly relates to an ABS function trigger control method and device, a vehicle and a medium. The method comprises the following steps: calculating a wheel slip rate; determining driver intention according to the hydraulic sensor signal, the brake pedal sensor signal and the accelerator pedal sensor signal, wherein the driver intention comprises emergency braking, conventional braking, sliding and acceleration; the road bumping state is determined according to the wheel slip rate, the vehicle vertical acceleration and the suspension displacement; according to the intention of the driver and the road bumping state, the triggering condition of the ABS function is determined; and determining whether the triggering condition of the ABS function is met or not according to the wheel slip rate. By judging the intention of the driver and the road bumping state and adjusting the triggering condition of the ABS function in real time according to the intention of the driver and the road bumping state, false triggering of the ABS function when the vehicle passes through the bumping road is avoided.

The invention provides a braking control method and a vehicle, and relates to the technical field of vehicle braking. The method comprises the following steps: acquiring braking parameters and driving parameters of a vehicle and biological data of a driver at the current moment; determining a driving style, a driving intention and a driving state of the driver at the current moment according to the driving parameters and the biological data; wherein the driving style is used for representing the preference of the driving behavior of the driver, the driving intention is used for representing the driving behavior of the driver in a preset scene, and the driving state is used for representing the physiological and psychological states of the driver; according to the driving style, the driving intention and the driving state, a braking control instruction corresponding to the braking parameters is determined; according to the technical scheme, braking control is conducted on the vehicle on the basis of the braking control instruction, braking control can be effectively adjusted according to the actual driving condition, and therefore the actual braking effect adapts to the driving behavior of a driver, the driving comfort is improved, and the driving safety is improved.

The invention relates to a vehicle braking control method and device, computer equipment and a storage medium. The method comprises the steps that in response to a braking instruction of a vehicle, target braking deceleration of the vehicle is determined according to braking pedal information and driving mode information of the vehicle; determining a target braking force and a target braking torque of the vehicle according to the target braking deceleration, the whole vehicle mass and the wheel rolling radius of the vehicle; under the condition that the target braking deceleration is larger than a preset deceleration threshold value, the mechanical braking torque of the vehicle is determined according to the target braking torque and the energy recovery torque; according to the real-time acceleration of the vehicle, the wheel static load is corrected, and the wheel dynamic load of the vehicle is obtained; according to the mechanical braking torque and the wheel dynamic load, the mechanical braking force of each wheel of the vehicle is determined; the mechanical braking force is used for controlling the vehicle to conduct mechanical braking, and the braking effect of the vehicle is improved.

The invention relates to a whole vehicle stability control method for a composite braking system, which comprises the following steps of: quickly obtaining target braking requirements of each braking execution unit by adopting an NSGA-II algorithm, solving the response speed difference between a hub motor and an EMB through an EMB response delay model and a hub motor feedforward compensation algorithm, and eliminating braking force oscillation. In a four-wheel pure EMB vehicle stability control strategy, a sliding mode control strategy and a model prediction control strategy are respectively adopted based on control demand difference and algorithm characteristic matching of a drifting risk and an understeering working condition, and meanwhile, an actuator physical constraint and a multi-stage fault monitoring mechanism are embedded, so that the basic stability of the vehicle can still be kept under an extreme working condition.

A method for controlling an electromechanical brake). The electromechanical brake includes an electric motor which acts on a brake actuator via a gear unit to generate a braking force. A switchable and bistable freewheel locking device, via which a brake release direction of the brake actuator can be locked, is provided to lock the gear unit. The method includes moving back the brake actuator after a braking operation by a fixed predefined distance and controlling the locking device to fix the brake actuator in the retracted position.

The invention belongs to the technical field of intelligent automobiles, and particularly relates to a load estimation method and system for a vehicle electronic braking system. The method aims at solving the core problems that an existing vehicle load estimation technology seriously depends on specific ideal working conditions such as uniform acceleration and uniform deceleration, so that estimation lags behind, and results are not accurate. The method comprises the following steps of: judging parameters such as accelerator pedal opening, vehicle speed, steering wheel angle, acceleration and road slope condition to confirm that the vehicle is in an estimation triggering condition of stable acceleration, and then calculating theoretical acceleration corresponding to all assumed weights in parallel in a no-load to full-load mass interval; and finally, matching the theoretical acceleration with a measured value and selecting a solution with the minimum error as a load result, so that the real-time performance and accuracy of load estimation are remarkably improved, and the precision of self-adaptive braking force adjustment of the electronic braking system is further improved.

A vehicle auxiliary steering control method, which is applied to a vehicle having a controller, and comprises: in response to the vehicle satisfying a preset auxiliary steering condition, controlling the vehicle to execute an auxiliary steering operation, wherein the auxiliary steering operation comprises adjusting the braking force of an inner front wheel and controlling two rear wheels to slip.

The utility model discloses a wheel speed signal processing system, which comprises a sensor driving circuit and a computing unit, the sensor driving circuit comprises at least two integrated circuits, and the integrated circuits are connected with the computing unit and a wheel speed sensor. According to the wheel speed signal processing system, the sensor circuit is combined with a certain controller module in a vehicle, redundancy detection of the wheel speed sensor is achieved through certain control logic, identification of wheel speed signals is not affected by single-point failure in any circuit, and reliability can be improved. The utility model further discloses a vehicle.

The embodiment of the invention discloses a vehicle anti-lock braking control method, a medium, equipment and a product. The vehicle anti-lock braking control method comprises the steps that the braking pressure difference of a vehicle in the braking process and multi-modal data used for representing the current road surface where the vehicle is located are obtained; determining a pavement adhesion coefficient of a pavement where the vehicle is currently located, load data of the vehicle and an actual slip rate of the vehicle according to the multi-modal data; calculating a target slip rate of the vehicle according to the road adhesion coefficient, the load data and a preset load; a braking force distribution instruction is generated according to the road adhesion coefficient, the target slip rate, the actual slip rate and the braking pressure difference of the vehicle in the braking process; a brake pressure for anti-lock braking of the vehicle is controlled based on the braking force distribution command. The limitation that a traditional method depends on a single wheel speed signal can be broken through, the control target is dynamically adjusted according to the real-time road surface and the vehicle state, and the problem that traditional fixed slip rate control is insufficient in performance under the complex working condition is solved.

The invention provides a self-adaptive braking control method, device and equipment based on a road adhesion coefficient, and relates to the technical field of vehicle control, and the method comprises the steps that multi-source sensor data of a vehicle is collected to determine the road adhesion coefficient corresponding to a road where the vehicle is located currently; when it is monitored that the vehicle has the collision risk, a braking control instruction corresponding to a braking system of the vehicle is generated according to the road adhesion coefficient, so that the braking system conducts braking operation on the vehicle based on the braking control instruction; and in the braking operation implementation process, multi-source sensor data are repeatedly collected so as to conduct self-adaptive updating on the road adhesion coefficient and the braking control instruction till the collision risk is relieved. The braking instruction can be dynamically adjusted in combination with the road adhesion characteristics, and the applicability and safety of the intelligent driving system under the complex road condition are improved.

A method for determining a desired lateral acceleration of a vehicle is provided. The method may include determining a first raw lateral acceleration request based at least in part on a steering wheel angle of the vehicle. The method may also include determining a maximum allowable lateral acceleration based at least in part on the tire slip model. The method may also include determining a desired lateral acceleration based at least in part on the first raw lateral acceleration request and the maximum allowable lateral acceleration. The method may also include adjusting operation of the vehicle based at least in part on the desired lateral acceleration.

A hydroplaning detection system includes a processor in communication with a communication system and a warning module in communication with the processor. The warning module receives data from vehicle-based sensors and generates an expected slip, a grip utilization, a drag force, and a calculated slip. The warning module receives data from a tire sensor unit and determines a confidence level by comparing the generated drag force to an expected drag. The warning module includes a hydroplaning detection logic that receives the expected slip, the grip utilization, the drag force, the calculated slip, and the confidence level and generates a hydroplaning detection warning and a warning confidence level. The warning module communicates the warning and the warning confidence level to at least one of a vehicle control system and an operator of the vehicle for action by the vehicle control system or the vehicle operator.

Disclosed herein is a method and system for detecting, monitoring and / or controlling one or more of mobile services for a mobile communication device (also referred to herein as a Controllable Mobile Device or CMD), and in particular, when the device is being used and the vehicle, operated by the user of the device, is moving. In addition, one aspect of the invention generally relates to a method and system for modifying a user's driving behaviors, in particular to a system and method for modifying a user's unsafe driving behaviors, e.g., using one or more services of a controllable mobile device while driving.

The invention provides a vehicle controller for tire burst detection, an electric vehicle for tire burst control and a method, and relates to the field of new energy automobiles. An electric vehicle includes a drive system and a brake system. In the running process that the vehicle speed of the electric vehicle is larger than the preset vehicle speed, any one of the four wheels has tire burst, and in response to sudden change of the wheel speed of any one of the four wheels, the vehicle controller is used for controlling the driving system to adjust the driving force or controlling the braking system to adjust the braking force. Wherein the sudden change of the wheel speed of any one of the four wheels means that the wheel speed increase value of any one of the four wheels is larger than the wheel speed increase values of the other three wheels within the preset duration. According to the scheme, tire burst detection is carried out based on the rotating speeds of the multiple wheels, the tire burst fault can be rapidly detected, fault wheel positioning is carried out, the misjudgment rate is reduced, control intervention is timely, the control difficulty is reduced, and the vehicle safety is improved.

The present invention discloses an optimized energy allocation method and system for an electric vehicle and an electric vehicle. The method includes step (1) detecting remaining charge levels of a first super-capacitor and a second super-capacitor, determining whether the remaining charge levels of the first super-capacitor and the second super-capacitor are greater than a preset threshold value, and if so, proceeding to step (2); step (2) acquiring a topographic map of a road ahead by means of an electric horizon system, predicting whether there is a continuous slope ahead, and if so, proceeding to step (3); and step (3) according to a continuous slope value ahead, predicting a braking force allocation proportion when carrying out braking ahead, allocating current power outputs of the first super-capacitor and the second super-capacitor in advance according to the braking force allocation proportion, and returning to step (1).

A method for determining a tractor longitudinal force threshold value for a tractor longitudinal retardation force that can be imparted on a tractor of a vehicle combination including the tractor and a trailer for retarding the vehicle combination, the tractor including a set of tractor wheels adapted to engage the ground supporting the tractor, each wheel of the set of set of tractor wheels including a tire,the method including:determining a tractor lateral force value,determining a tractor tire lateral force limit value using a tire model for determining a tire lateral force limit;determining a reference lateral force value using said tractor lateral force value and the tractor tire lateral force limit value;determining a horizontal friction force value, anddetermining the tractor longitudinal force threshold value.

The invention relates to the technical field of vehicle control, and discloses a vehicle control method, a readable medium, electronic equipment and a program product. The vehicle control method comprises the steps that under the condition that an anti-lock braking system of a vehicle is in a working state, an electronic control unit of the vehicle can obtain the acceleration of wheels of the vehicle at the current moment, the acceleration and preset parameters are superposed, and the steady-state value variable quantity of the vehicle is obtained. Wherein the preset parameter is associated with the vehicle speed. Furthermore, the electronic control unit of the vehicle can superpose the steady-state value variable quantity and the steady-state value at the previous moment to obtain the steady-state value of the vehicle at the current moment, and the steady-state value is used for indicating the driving stability of the vehicle. And under the condition that the steady state value at the current moment is smaller than a set threshold value, an anti-lock braking system of the vehicle is triggered to release pressure. By means of the vehicle control method, delayed triggering caused by the fact that the anti-lock braking system is triggered to release pressure according to the slip rate can be avoided, and the stability of the vehicle is improved.

The invention relates to a braking parameter calibration method and device, a controller and a vehicle, relates to the technical field of intelligent driving, can realize AEB calibration of different vehicle models, and improves the adaptability and accuracy of an AEB system on different vehicle models. The method comprises the steps of obtaining vehicle model parameters of a vehicle, wherein the vehicle model parameters comprise kinetic parameters and sensor configuration parameters; the vehicle model parameters are input into a scene simulation model to simulate a driving scene of the vehicle, at least one simulation result is obtained, and simulation braking parameters of the vehicle are determined according to the simulation results; testing the braking performance of the vehicle according to the simulation braking parameters, and performing iterative adjustment on the simulation braking parameters according to a test result until the test result meets a preset braking condition to obtain a target braking parameter; and according to the target braking parameters, parameter configuration is conducted on an automatic emergency braking system of the vehicle.

The invention relates to a rail transit technology, in particular to a train adhesion sensing method and system. When the train system works in a traction, coasting or electric braking working condition, starting an adhesion sensing mode, configuring an adhesion sensing shaft, and detecting the speed of the train; when the train speed is larger than a first train speed threshold value, the current of the adhesion sensing shaft is controlled, so that the traction force or the electric braking force of the adhesion sensing shaft is balanced with the adhesion force of the adhesion sensing shaft; the traction force or the electric braking force of the adhesion sensing shaft is calculated, and the adhesion coefficient of the adhesion sensing shaft is calculated according to the traction force or the electric braking force; the adhesion coefficient of the adhesion sensing bogie is calculated according to the adhesion coefficient of the adhesion sensing shaft, and the adhesion coefficient of the whole train is calculated according to the adhesion coefficient of the adhesion sensing bogie. According to the method, the adhesion condition of the wheel track in the train operation process is sensed in real time, compared with an existing operation design according to a fixed adhesion coefficient, accurate line state information is provided for train operation, and the safety and efficiency of train operation control are improved.

The invention discloses a reciprocating type passenger ropeway constant deceleration control system, and relates to the technical field of brake control. According to the method, the first-stage constant deceleration braking mode and the second-stage constant torque braking mode are set, analysis is carried out through the second-stage braking conversion algorithm, the deceleration abnormal index, the speed tracking abnormal index and the response abnormal index are output, then the mode abnormal total value is obtained, the braking state is judged, self-adaptive mode switching is achieved, and the braking efficiency is improved. Constant braking deceleration is maintained, swinging of a hanging box is reduced, comfort of passengers is improved, brake rubber abrasion is reduced, meanwhile, regional debugging is not needed, and the operation difficulty of a construction site is reduced; hydraulic loop parameters are analyzed through a failure judgment logic algorithm set by the hydraulic redundancy protection module, a loop abnormal total value is output, and hydraulic loop switching is carried out based on the loop abnormal total value; and through visual display of the fault memory interaction module, the safety redundancy of the braking system is improved, fault tracing and maintenance are facilitated, and the running reliability of the cableway is guaranteed.