2459 results about "Vehicle braking" patented technology

The invention relates to the field of vehicle braking fault detection, in particular to a real-time fault detection method for a vehicle electronic braking system, which comprises the following steps of: acquiring vehicle driving state data through a vehicle-mounted sensor network and an electronic control unit, calculating filtered residual data of a target wheel speed sensor, and calculating the filtered residual data of the target wheel speed sensor; establishing calibration reference parameters of the health state; performing conjoint analysis on the acceleration data and the residual fluctuation data of the vehicle to obtain a dynamic response adaptive adjustment factor of the vehicle; obtaining a tiny drift confirmation factor of the vehicle through the candidate residual error in the low dynamic interference state of the vehicle; continuous fault judgment is performed by combining the dynamic response adjustment factor and the tiny drift confirmation factor of the vehicle, and the fault judgment result of the wheel speed sensor is obtained, so that the accuracy and sensitivity of fault detection when tiny systematic deviation occurs to the wheel speed sensor are improved.

The invention provides a clamping force estimation method of a motor braking system, the motor braking system, a transmission efficiency anomaly detection method of the motor braking system and a vehicle, and belongs to the technical field of vehicle braking. According to the clamping force estimation method, temperature data and piston displacement data are combined, the clamping force can be estimated more accurately, the influence of the temperature on the clamping force is considered, and the clamping force estimation is dynamically adjusted by obtaining the piston displacement data in real time, so that the clamping force estimation method adapts to different working environments and braking working conditions. In addition, by combining the original thickness and the abrasion loss of the friction plate, the influence of abrasion of the friction plate on the clamping force is further compensated, and the estimation accuracy is improved.

The invention discloses a vehicle braking force determination method and device. The method comprises the steps that the minimum wheel slip rate corresponding to each axle of a vehicle serves as a target, and a target function is constructed; based on the target constraint condition, the minimum wheel slip rate corresponding to each axle of the target function under the target braking strength and the braking force distribution result corresponding to the minimum wheel slip rate are solved, the target constraint conditions include that the wheel slip rates corresponding to all the axles are different and conform to the preset locking sequence of all the axles, the wheel slip rates of all the axles determine the longitudinal adhesion coefficients corresponding to all the axles, and the longitudinal adhesion coefficients corresponding to all the axles determine the braking force distribution results corresponding to all the axles; and the sum of the braking force distribution results corresponding to the axles is equal to the total adhesive force corresponding to the target braking strength, and the safety and stability of the vehicle can be improved.

The invention discloses an air suspension and ESC coordination control method and system based on deep learning, and belongs to the field of automobile braking, and the method comprises the following steps: S1, collecting historical data of vehicle driving, generating extreme working condition data by using vehicle dynamics simulation software, and forming a training data set; s2, constructing a double-branch fusion control model, and training the double-branch fusion control model; s3, vehicle state parameters and road surface condition data are collected in real time; s4, after feature extraction and fusion are carried out on the processed multi-source parameters, the trained double-branch fusion control model is input, and an optimal control strategy is generated; and S5, the ESC executes the optimal control strategy and collects vehicle state data after execution to form a control closed loop. By the adoption of the air suspension and ESC coordinated control method and system based on deep learning, the deep learning and the vehicle dynamics model are combined, the vehicle motion state can be monitored in real time, accurate control is conducted according to real-time data, and the potential out-of-control situation is avoided.

The invention relates to the technical field of path planning, in particular to an intelligent automobile path planning method and system. The method comprises the following steps of: extracting obstacle orientation and vehicle braking state information in an emergency avoidance process through an intelligent vehicle control center, and performing attitude transverse phase plane instability analysis to obtain an attitude phase plane instability state of a vehicle. Based on the state and the direction of the obstacle, analyzing and generating a collision attitude track; thirdly, matching emergency avoidance safety braking parameters through a collision posture prediction track, and ensuring safety braking; and finally, collision avoidance path planning learning is carried out by utilizing the avoidance braking safety matching parameters and the collision attitude prediction trajectory, and a safe and effective collision avoidance path is generated. According to the invention, the path planning technology is optimized, so that the path planning technology is more perfect.

The invention relates to the technical field of vehicle braking control, and discloses a vehicle braking control system based on a high-speed permanent magnet synchronous motor, which comprises a state sensing module, a braking force calculation module, a braking force control module and a braking force control module, the torque distribution module distributes the total braking torque into a predictable regenerative component and a precisely matched friction component, a deterministic regenerative braking force datum line is established, a braking system is converted into stable output control from passive response energy fluctuation, and linear mapping of pedal travel and deceleration is achieved; and meanwhile, by combining road bumping degree perception and model online correction, the output stability is kept under the complex working condition, and the technical problem that energy recovery and control quality in a hybrid braking system are difficult to consider at the same time is solved.

The invention provides an EMB sensorless clamping force estimation method based on multi-signal fusion and displacement compensation, and belongs to the technical field of vehicle braking, and the method comprises the steps: carrying out the modeling of an EMB system mechanical model; on the basis of the EMB system mechanical model established in the step S110, executing clamping force estimation; on the basis of the EMB system mechanical model established in the step S110, current-position information fusion is adopted to execute contact point detection; on the basis of the contact point detection result in the step S130, performing contact point detection position error compensation; on the basis of S140 position error compensation, a return stroke backlash compensation mechanism is introduced, the mechanical transmission gap error is further corrected, and the clamping force estimation precision is improved; and executing clamping force control scheme design based on the results of the steps. According to the method, a good clamping force estimation effect can be achieved, the system reliability is remarkably improved while the cost is reduced, and the method has good engineering application value.

The technical scheme of the invention relates to the technical field of control and adjustment, in particular to a crawler-type articulated vehicle braking system applied to a low-temperature environment. Through multi-module collaborative optimization and a closed-loop control mechanism, the problems of unbalanced dynamic distribution of braking force, insufficient redundancy fault tolerance and signal distortion under the low-temperature working condition are solved. The data acquisition module is used for acquiring a hinging angle, an inertial measurement unit attitude, a braking temperature and a vehicle state signal in real time; the optimization control module performs multi-objective optimization on the dynamic weight coefficient, the redundancy switching threshold value and the fuzzy rule parameter based on a genetic algorithm to generate a weight distribution scheme of a hinge angle compensation mode and an inertial measurement unit dominant mode; the adjusting module generates a brake pressure reference value through temperature self-adaptive analysis and synchronizes hydraulic control units of a front vehicle and a rear vehicle, and all the modules remarkably improve the dynamic stability and the low-temperature working condition fault-tolerant capability of a brake system through full-link cooperation of environment perception, parameter iteration and redundancy execution.

The invention discloses a full-link redundancy EMB control system and method without a main controller, and belongs to the field of braking systems, the full-link redundancy EMB control system comprises a front axle control module, a rear axle control module and four EMB actuators, the front axle control module comprises a first control module and a second control module, and the rear axle control module comprises a third control module and a fourth control module; the four EMB actuators are respectively mounted on four wheels of a vehicle, and the first control module, the second control module, the third control module and the fourth control module are respectively connected with the four EMB actuators; the front axle control module and the rear axle control module are both connected with the whole vehicle CAN of the vehicle, the front axle control module and the rear axle control module are connected through the internal CAN, and therefore the redundant design of vehicle braking can be achieved, and the reliability of vehicle braking is improved.

The invention discloses a dynamic adjusting method, device and equipment for vehicle braking force and a medium. The method comprises the steps that when a vehicle is braked on a ramp road section, the ramp angle of the ramp road section is determined; according to the driving direction of the vehicle on the ramp road section, the ramp angle, the brake pedal pressure, the vehicle gravity and a preset braking performance coefficient, the target braking force of the vehicle is calculated, and the braking performance coefficient is used for representing that when the vehicle is braked on a non-ramp road section, the target braking force of the vehicle is obtained. The conversion relation between the brake pedal pressure and the target brake force is obtained; the braking air pressure of a vehicle brake is adjusted according to the target braking force, so that the wheel end braking force of the vehicle reaches the target braking force, the vehicle braking force is dynamically adjusted according to the ramp angle, the braking performance is optimized in real time, it is ensured that the vehicle can keep consistent braking feeling under different gradients, the fatigue of a driver is effectively reduced, and the driving safety is improved. The emergency braking safety is improved, meanwhile, the predictability and consistency of the braking system are enhanced, and the driving experience is optimized.

The invention discloses a rear wheel brake control method, device and equipment and a storage medium, and the method comprises the steps: when it is determined that brake signals of a vehicle intelligent integrated brake control unit and an EPB controller are not all invalid, vehicle brake is controlled preferentially according to the vehicle intelligent integrated brake control unit and the EPB controller; and when it is determined that the brake signals of the intelligent integrated brake control unit and the EPB controller of the vehicle fail, the rotation directions of the rear wheels are controlled through an added rear wheel steering system, so that the rotation directions of the two rear wheels are opposite, and vehicle braking is controlled. Under the extreme condition that the IPB and the EPB fail at the same time, it can be ensured that the vehicle can still be braked emergently, and the driving safety is greatly improved.

A brake apparatus for a vehicle may include: a torque member having a pair of brake pads installed therein and spaced apart from each other, and configured to surround a brake disk; a caliper configured to cover the torque member, and having a gravitational center adjuster configured to adjust the position of a gravitational center toward the brake disk; a pair of guide rods configured to connect the torque member and the caliper, such that the caliper is slidably coupled to the torque member; and an actuator mounted on the caliper.

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 present invention discloses an electromechanical brake parking mechanism and a control method, belonging to the field of vehicle braking. It includes a reduction motor and a brake caliper. A locking disc is fixed on the motor shaft of the reduction motor. An electromagnetic locking component is arranged inside the motor housing of the reduction motor and corresponds to the position of the locking disc. The locking head of the electromagnetic locking component corresponds to the locking hole opened on the locking disc. A parking position sensor is arranged inside the motor housing, and a magnet cooperating with the parking position sensor is fixed on the end face side of the locking disc; A locking position sensor is also arranged inside the motor housing to detect the forward and backward movements of the locking head. Both the locking position sensor and the parking position sensor are electrically connected to the controller, and the controller is electrically connected to the reduction motor. By adopting the above-mentioned electromechanical brake parking mechanism and control method, it has the advantages of more reliable control, shorter parking time, short noise duration, etc., making the maintenance cost and use cost of the electromechanical brake lower and safer.

The invention discloses a vehicle braking energy recovery method and device, a vehicle and a storage medium. The method comprises the steps that under the condition that a current vehicle is in a braking mode, the real-time acceleration and the brake pedal depth of the current vehicle are obtained; determining a target deceleration of the current vehicle based on the brake pedal depth; calculating the total required braking force of the current vehicle based on the target deceleration and the real-time acceleration; the maximum value of regenerative braking force of the current vehicle is determined, and the upper limit of the regenerative braking force is obtained; determining a target regenerative braking force based on the total demand braking force and a regenerative braking force upper limit; and the motor output torque of the current vehicle is determined according to the target regenerative braking force, and braking energy recovery is conducted based on the motor output torque. According to the technical scheme, the braking energy recovery efficiency of the vehicle is improved.

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 invention relates to the technical field of vehicle braking control, in particular to a self-adaptive error tolerance automatic emergency braking system and method, and provides a self-adaptive error tolerance automatic emergency braking system and a forward collision early warning system. The method aims at solving the accuracy problem caused by sensor errors in an existing system. The method specifically comprises the following steps: introducing a first-order error propagation model to quantify a key safety index error; comprising the steps of collision time real-time estimation based on a forward sensor, error propagation and tolerance analysis and FCW / AEB trigger logic design introducing a fault-tolerant band. In the design, the maximum tolerance error is set, and the sensor index requirement is reversely deduced, so that the robustness and safety of the system are improved, a quantifiable fault-tolerant boundary is provided for the AEB system, the application effect of the system in a complex road environment is improved, and the method is particularly suitable for high-risk scenes such as expressways and urban expressways and has wide application prospects. And the fault-tolerant capability and the practical application effect of the system are enhanced.

The present application relates to the technical field of vehicle braking, and provides an electric parking control method and system, an electronic device, and a storage medium. According to the solution, a vehicle driving signal is measured on the basis of the current vehicle state; when the current vehicle state is a parking obstruction state, the system determines, on the basis of a vehicle door signal, a vehicle speed signal, and a caliper signal, whether a state switching condition occurs; if the state switching condition has occurred, the vehicle state is switched to a vehicle sliding state; and when the vehicle state is switched from the parking obstruction state to the vehicle sliding state, it indicates that the driver has a get-off intention and a parking operation is not being performed or cannot be performed on a vehicle at this time, an electric parking instruction is sent to control calipers to clip so as to perform parking control on the vehicle. In this way, the vehicle can be actively parked in situ when the driver forgets to press an electric parking brake button, so that the vehicle sliding phenomenon is effectively avoided, thereby improving the safety of the vehicle, and improving the driving experience of the driver.

The invention discloses a vehicle braking method, device and equipment and a storage medium, and belongs to the field of vehicle engineering. The method comprises the steps that first braking operation is received, and the first braking operation is used for controlling a hydraulic braking system to conduct hydraulic braking; according to the state of at least one component in the hydraulic braking system, the working state of the hydraulic braking system is determined; and according to the working state of the hydraulic braking system and the running state of the vehicle, an EPB is controlled to conduct linear braking. The method can ensure the driving safety.

The invention discloses a braking energy distribution method and system based on braking noise prediction and electronic equipment. The method comprises the steps that braking noise time sequence data, vehicle speed time sequence data, hydraulic braking torque time sequence data and pedal travel time sequence data of a current vehicle are obtained; inputting the braking noise time sequence data, the hydraulic braking torque time sequence data and the pedal travel time sequence data into a pre-trained braking noise prediction model to obtain a braking noise prediction value of the current vehicle after a preset time step; determining a corresponding braking noise threshold value according to the current working condition and the current driving mode of the current vehicle; and when the braking noise prediction value is larger than the braking noise threshold value, the braking energy distribution proportion is adjusted, so that the energy recovery torque is increased, and the hydraulic braking torque is reduced. According to the method, the braking noise of the vehicle is maintained below the threshold value through dynamic distribution of the braking energy, interference to users in the vehicle is avoided, the driving comfort of the vehicle is improved, and the method can be applied to the technical field of vehicle control.

1. The name of this design product: brake disc temperature sensor. 2. Purpose of this product: When installed near the vehicle's brake disc, it can accurately collect the real-time temperature of the vehicle's brake disc and report it to the main control module. When the temperature is too high, it can effectively warn the driver to stop for maintenance. 3. The key point of the design of this product lies in the shape of the product. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention discloses a road surface recognition method and device and a vehicle, and relates to the technical field of vehicle control. Comprising the steps that under the condition that a vehicle meets mirage recognition triggering conditions, a feature parameter set used for recognizing mirage is determined; matching each feature parameter contained in the feature parameter set with a corresponding preset mirage feature, so as to determine the number of feature parameters matched with the preset mirage feature through optical feature abnormality and spatial displacement abnormality existing in the road surface; according to the number of the characteristic parameters, determining a confidence coefficient used for reflecting whether mirage exists on the road surface or not; and according to the confidence level corresponding to the confidence coefficient, the vehicle is controlled to execute mirage prompt operation, so that the recognition accuracy of the pavement mirage can be improved, and unnecessary vehicle braking is avoided.

The invention relates to the technical field of dynamic parameter correction of self-adaptive control systems, in particular to an unmanned crawler braking system and method based on self-adaptive control. The system comprises a data acquisition module, a viscosity dynamic compensation module, a control instruction generation module and a distributed execution module. The data collection module collects vehicle motion state parameters through an accelerometer, a pitch angle sensor and a hydraulic oil temperature sensor, GPS time service and a CAN bus clock are adopted to calibrate the time sequence of a multi-source sensor, and the control instruction generation module fuses the pitch angle, the steering torque parameter and the viscosity variation. According to the method, through closed-loop viscosity correction, instruction time sequence optimization and low-temperature adaptability regulation and control, the problem of braking torque control deviation of a multi-degree-of-freedom articulated mechanism caused by nonlinear change of the viscosity of a hydraulic medium is solved.

A method for operating a vehicle brake system, wherein the brake system has at least one friction brake and at least one regenerative brake. A defined switching pattern is specified for switching between a self-cleaning operating mode for cleaning the friction brake and a normal operating mode of the brake system. The method includes determining information describing the state of the at least one friction brake, determining the state of the at least one friction brake from the information, determining whether the state satisfies a specific switching criterion, and, if the self-cleaning operating mode is to be activated according to the switching pattern and the state of the friction brake does not satisfy the switching criterion, suppressing activation of the self-cleaning operating mode and maintaining the normal operating mode.

The invention discloses a high-temperature protection control method of a vehicle braking system and a vehicle, belongs to the technical field of vehicle control, and aims to solve the problems that an existing vehicle braking system lacks high-temperature trend prediction capacity and a dynamic braking force adjusting mechanism, heat accumulation is prone to occurring under the high-load working condition, braking performance declines, and the service life is poor. And therefore, the technical problem of insufficient braking stability and safety is solved. The method comprises the following steps: constructing a generative diffusion model; constructing a temperature control trend prediction model; training the temperature control trend prediction model through the high-temperature time sequence and the braking heat data sample set; constructing a multi-target reinforcement learning strategy model; performing multi-model fusion processing on the generative diffusion model, the temperature control trend prediction model and the multi-target reinforcement learning strategy model to obtain a high-temperature protection control system; and inputting the real-time braking heat data of the target vehicle into a high-temperature protection control system to obtain a corresponding control action vector so as to carry out high-temperature protection control on a vehicle braking system.

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.

A method for determining a p-V characteristic of at least one wheel brake cylinder of a brake system of a vehicle. The method includes: increasing a pressure prevailing in the wheel brake cylinder during a measurement time interval, wherein a volume variable that reflects a present volume in the wheel brake cylinder, and a pressure variable that reflects a present pressure in the wheel brake cylinder, are determined at least once during the measurement time interval, and setting the p-V characteristic of the wheel brake cylinder taking into consideration the volume variable and the pressure variable. Before the measurement time interval, during a pressure increase interval, a pressure exerted on the closed wheel inlet valve and / or the closed isolating valve is increased with an average pressure build-up gradient greater than or equal to 50 bar / second up to a limit pressure of greater than or equal to 25 bar.

The invention belongs to the technical field of vehicle braking control, and provides a vehicle braking system failure auxiliary processing method, system and device and a medium. When the state is a non-failure state, executing a pressure building braking strategy; when the vehicle is in the failure state, an auxiliary processing strategy is executed, and the auxiliary processing strategy comprises the steps that the braking intention is judged based on vehicle braking feedback, and vehicle stability control threshold setting, deceleration distribution of electric braking and hydraulic braking, active adjustment of the braking pressure and active adjustment of the motor torque are sequentially completed based on the judgment result; and the wheel slip rate of the vehicle is monitored in real time, and the steering force of the vehicle is corrected in combination with vehicle braking feedback. While the deceleration of the vehicle meets the requirement of a driver, drifting or rollover of the vehicle due to the fact that the driver suddenly turns the steering wheel can be avoided, so that the stability of the vehicle is ensured.

The invention discloses a comfortable braking cooperative control method capable of preventing slope sliding, which comprises the following steps of: firstly, preliminarily obtaining information of a slope where a vehicle is located, and then synchronously carrying out related compensation of a slope difference value and compensation of a vehicle attitude; and the minimum target deceleration required for preventing the vehicle from sliding on the slope and the damping force required for restraining pitching motion in the vehicle braking process are calculated, and the comfortable braking grade is selected. In the whole process, the ramp acceleration of the vehicle needs to be calculated in real time to obtain compensation, longitudinal and vertical control strategies are used for cooperative control, a brake-by-wire product is utilized, a non-adhesion coefficient is analyzed, braking force is distributed, load transfer is weakened through rear braking force during ramp parking, the pitching characteristic of the vehicle can be weakened under the non-emergency working condition, and the vehicle safety is improved. And the riding comfort of a driver and passengers is improved.