4570 results about "Vehicle braking" patented technology

The invention discloses a braking pressure degradation strategy of an electronic mechanical braking system, and belongs to the technical field of vehicle braking control, and the braking pressure degradation strategy of the electronic mechanical braking system comprises the following steps: S1, multi-sensor fusion is carried out to correct a friction coefficient in real time, and a high-precision gridding pavement model is constructed; s2, performing time sequence prediction on braking torque distribution, dynamically constraining a braking pressure threshold value and performing pre-adjustment; s3, reinforcement learning is carried out to generate a prospective degradation sequence, and thermal coupling and pressure fluctuation control are optimized; s4, dynamically encrypting the hierarchical communication architecture, and ensuring that the instruction is complete and consistent with the time sequence through redundancy switching; s5, generating an adversarial network compensation failure signal, and dynamically adjusting the weight of the sensor to resist interference; s6, triggering a man-machine interaction strategy in a grading manner, and dynamically adjusting a safety threshold in combination with a driving behavior; s7, carrying out simulation verification on the digital twin platform, and carrying out fault injection encryption to update full-life-cycle parameters; the method has the beneficial effects that self-adaptive optimization and hierarchical fault tolerance of the brake pressure are realized, and the system safety and response efficiency are improved.

To provide a braking control device of a vehicle that can execute starting-assist control of suppressing a vehicle from moving backward on an uphill road, which can improve hill-climbing performance.SOLUTION: A braking control device comprises an actuator that can individually adjust braking torque applied to a plurality of wheels, and a controller that holds the braking torque so as to prevent a vehicle from moving backward on an uphill road through the actuator and then executes starting-assist control of gradually reducing the braking torque. The controller can execute traction control by which the braking torque is increased in a slip wheel in which an acceleration slip of the wheel becomes larger than a predetermined slip to reduce the acceleration slip. Further, the controller determines a final control amount Qt on the basis of a first control amount Qa of the braking torque relating to the starting-assist control and a second control amount Qb of the braking torque relating to the traction control, and controls the braking torque on the basis of the final control amount Qt.SELECTED DRAWING: Figure 5

The invention discloses a dual-electric brake boosting system for a heavy-duty vehicle and a coordinated control method of the dual-electric brake boosting system, and relates to the technical field of vehicle brake control. The invention discloses a dual-electric brake power-assisted system for a heavy-duty vehicle and a coordinated control method thereof. The coordinated control method comprises the following steps that S1, a multi-source sensor synchronously collects and preprocesses wheel speed, current, suspension and pedal signals; s2, estimating the load in real time through Kalman filtering, and outputting a dynamic load coefficient to guide distribution; s3, triggering interruption when the pedal force change rate exceeds the threshold value, and directly outputting the maximum braking force; s4, dynamically distributing the braking force, predicting the temperature rise, and adjusting the output weights of the double boosters; s5, outputting a digital twinborn verification theory, and starting a compensation algorithm after deviation overrun; s6, encrypting an instruction by a TSN protocol, and ensuring low-delay transmission and communication security; s7, a closed-loop optimization link is formed based on the actual braking data calibration model; the method has the beneficial effect that the real-time performance, safety and reliability of the braking system are comprehensively improved.

The invention discloses an intelligent automobile electro-hydraulic composite braking system integrating driver intention, and belongs to the field of intelligent automobile braking control. The system comprises a vehicle environment fusion sensing module, a braking intention identification module, a multi-target braking force distribution module, a regenerative braking torque constraint module and an optimal distribution coefficient decision module. When a driver brakes, the vehicle environment fusion sensing module is used for acquiring vehicle driving state information, road adhesion coefficient information, driving environment information and driver state information; the braking intention identification module adopts a neural network algorithm to accurately identify the braking intention of the driver; the multi-target braking force distribution module optimizes the required braking torque by using an NSGA-II multi-target optimization algorithm; the regenerative braking torque constraint module dynamically corrects the calculation result of the regenerative braking torque through a comprehensive constraint condition; and the optimal distribution coefficient decision module screens out the optimal braking distribution coefficient under the current working condition from the Pareto solution set through dynamic weighting.

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 relates to a vehicle braking method, a braking controller, a storage medium and a vehicle, and relates to the technical field of vehicle control, the method comprises the steps that braking data of the vehicle are obtained, the braking data comprise braking strength data and braking torque parameters, the braking strength data comprise actual deceleration and target deceleration, and the braking torque parameters comprise running resistance; the method comprises the following steps: acquiring braking strength data of a vehicle, determining pre-control dynamic torque according to running resistance and target deceleration, acquiring target braking torque according to actual deceleration, the target deceleration and the pre-control dynamic torque under the condition that the braking strength data meets a torque correction condition, and finally performing braking control on the vehicle according to the target braking torque. According to the method, the pre-control kinetic torque can be corrected under the condition that the braking strength is large, so that the braking effect is improved.

The invention discloses a dual-electric brake boosting system, which belongs to the technical field of vehicle brake control and comprises the following steps: S1, dynamically calculating quadrature-axis inductance parameters, generating a synchronous magnetic field signal and inhibiting electromagnetic interference of dual motors; s2, extracting a harmonic-rotating speed mapping relation, and dynamically correcting an observation equation to control a parameter error; s3, reconstructing neutral point voltage to counteract high-frequency jitter, and reducing residual harmonic interference through adaptive filtering; s4, establishing a three-dimensional thermal field to predict copper and iron loss, dynamically adjusting current and generating an inverse time limit protection curve; s5, splitting the hot parameters into parity check frames, optimizing a communication protocol and compressing a refresh cycle to 10ms; s6, overlapping response of the white noise excitation system, and performing closed-loop calibration on the filtering weight to improve the observation precision; s7, triggering an audible and visual alarm and synthesizing a directional voiceprint and a tactile pulse to ensure safety regulations and perception intensity; the method has the beneficial effects that the method has remarkable advantages in a high-temperature and high-vibration severe environment, and the reliability and the safety of a system can be improved.

A vehicle anti-theft device that is configured to be surroundably mount a brake pedal inhibiting access thereto and as such disabling features of the vehicle such as but not limited to starting of the vehicle. The invention includes a housing having a plurality of walls forming an interior volume being of suitable size to accommodate a vehicle brake pedal therein. The housing includes a front wall that is hingedly mounted operable to move between an open and closed position. A top wall is slidably secured to the housing so as to facilitate placement of the housing around the vehicle brake pedal. A wedge member is placed within the interior volume of the housing and is configured to engage the brake pedal applying an upwards bias thereagainst so as to inhibit movement of the vehicle brake pedal. A lateral stability member is secured to the housing to inhibit lateral movement thereof.

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.

In one aspect the invention relates to a filter system (100) for one or more braking devices (200) of a vehicle (600A, 600B), the filter system comprising: a suction device (110) configured to generate an airflow (112) in a vicinity of the one or more braking devices; a filter element (120) for filtering brake dust particles generated by the one or more braking devices; an airflow channel (130) positioned to allow the airflow generated by the suction device through the filter element; a controller (140) for operating the suction device; and a processor (150) arranged in data communication with the controller, the processor configured to obtain an operating data (161, 162) of the vehicle; determine a prognosis of a braking event of the vehicle based on the operating data as input; and select a control strategy (800, 810, 900, 950) from a plurality of control strategies based on the operating data, the control strategy associated with a plurality of operation states (701, 702, 703, 704, 705); wherein the control strategy is different from another control strategy of the plurality of control strategies; and wherein the processor is configured to generate a control data to the controller indicative of an operation state of the suction device. In a further aspect the invention relates to a method (1100) of operating a filter system (100).

The invention provides a vehicle brake pedal characteristic calibration method and device, and the method comprises the steps: carrying out the slow braking test of a test vehicle under a preset test condition, obtaining a plurality of groups of first brake test data, and carrying out the following processing for each group of first brake test data: employing the collected deceleration as an abscissa array, performing first-order linear interpolation on the longitudinal coordinate array by taking the pressure of the servo cylinder as the longitudinal coordinate array to obtain a first interpolation function; performing first-order linear interpolation by taking the acquired pedal travel as an abscissa array and the brake master cylinder push rod travel as an ordinate array to obtain a second interpolation function; and according to the target deceleration number array, each group of first interpolation functions, the target pedal travel data and each group of second interpolation functions, determining brake calibration parameters, and completing calibration. According to the method, the pedal characteristics of the test vehicle are accurately adjusted and optimized according to the target deceleration data through the first-order linear interpolation method, and the calibration precision of the vehicle braking parameters is improved.

An electronic mechanical braking system and method having a controller failure redundancy control function. The method comprises: acquiring a vehicle braking signal, and carrying out information interaction on a chassis domain controller (201) and a central vehicle controller (101) of an electronic mechanical braking system to obtain an information interaction result; sending the information interaction result and a vehicle control signal to the chassis domain controller (201) to carry out signal processing so as to obtain a signal processing result; and carrying out information management operation of the electronic mechanical braking system according to the state information of the chassis domain controller (201), the signal processing result, and vehicle control intent information, and controlling the electronic mechanical braking system according to a vehicle control intent and a preset control instruction.

The invention discloses a vehicle braking performance control method and system based on multi-sensor detection fusion, and belongs to the technical field of vehicle braking, and the method comprises the steps: building a basic braking force function of vehicle braking control under a normal road condition; obtaining road surface sensing parameters collected by at least two sensors; based on the road surface sensing parameters, constructing a road surface slippery degree function used for evaluating the current road slippery degree; according to the basic braking force function and the road surface slippery degree function, a braking force function of the current road is obtained through calculation; and controlling the braking force of the vehicle based on the braking force function of the current road. The vehicle braking force can be dynamically adjusted according to the real-time road condition, the vehicle braking performance weakening early warning function is achieved, and a driver can visually master the current braking performance.

An optimization method and an optimization system for vehicle braking system parameters is disclosed. The method includes (i) performing a setting step that includes setting a goal for optimization of the vehicle braking system parameters and determining vehicle braking system parameters to be optimized, and setting working conditions according to the vehicle braking parameters to be optimized, (ii) performing a simulation step that includes establishing a simulation environment and simulating the set working conditions, (iii) performing a calculating step that includes, for each set of vehicle braking system parameters, extracting vehicle signals associated with braking performances from a simulation result, and calculating evaluation values of the braking performances of each set of vehicle braking system parameters based on the vehicle signals and the goal, (iv) performing a judging step that includes judging whether the evaluation values of the braking performances reach the goal; if no, adjusting the vehicle braking system parameters and repeatedly iterating the simulation step and the calculating step until the goal is reached; if yes, performing an output step that includes outputting the vehicle brake system parameters and the corresponding evaluation values. The simulation environment can be used to replace a real vehicle, and the simulation efficiency is 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 discloses a vehicle braking control method, system and device based on multi-mode perception and a medium. The method comprises the steps that the power battery charge state, the vehicle speed, the current braking strength and real-time road condition information of a target vehicle are obtained; performing data fusion on the charge state of the power battery, the vehicle speed, the current braking strength and the real-time road condition information to obtain multi-mode sensing time sequence data; inputting the multi-modal sensing time sequence data into a pre-trained braking force distribution prediction model to obtain a braking force distribution result; and a target braking mode is determined according to the braking force distribution result, and braking control is conducted on the target vehicle according to the target braking mode. According to the embodiment of the invention, the corresponding braking mode can be adaptively switched according to the real-time driving scene and the energy demand, the braking performance of the vehicle and the energy recovery efficiency are improved, more flexible braking control is realized, the driving experience of a user is improved, and the method can be widely applied to the technical field of vehicle control.

A braking energy recovery control method, comprising: when a vehicle satisfies a preset energy recovery condition, determining a required braking torque on the basis of a pre-stored correspondence between a moving depth and a braking torque of a braking pedal of the vehicle; on the basis of a preset priority distribution motor braking torque principle, an energy recovery maximum torque limit value and the required braking torque, determining an expected motor braking torque and an expected hydraulic braking torque; and on the basis of the expected motor braking torque, the real-time rotating speed and efficiency of a front-wheel drive motor of the vehicle, and the real-time rotating speed and efficiency of a rear-wheel drive motor of the vehicle, determining a target distribution ratio that maximizes the sum of recovery power of the front-wheel drive motor and recovery power of the rear-wheel drive motor. In this way, torque distribution of the front-wheel drive motor and the rear-wheel drive motor based on the target distribution ratio is conducive to performing braking energy recovery with maximum power, so as to increase the braking energy recovery efficiency. In addition, the present invention further relates to a braking energy recovery apparatus, a control system, a vehicle, and a medium.

A vehicle pedal resistance and dampener assembly includes a dampener module defining an interior fluid-filled cavity and adapted for generating a dampening force on the vehicle pedal. A pedal resistance module generates a resistance force on the vehicle pedal. The dampener module and the resistance module are moveable relative to each other. A shaft in the dampener module extends into and is moveable in a fluid-filled sleeve in the resistance module. A pedal position sensor senses and measures the position of the vehicle pedal. A pedal force sensor senses and measures the force on the vehicle pedal. A first resistance spring is located in the sleeve of the pedal resistance module, a second resistance spring surrounds the sleeve of the pedal resistance module, a third resistance spring surrounds the shaft of the dampener module, and a fourth resistance spring surrounds the third resistance spring.

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 discloses a brake control method of a vehicle and electronic equipment. The mode relates to the field of vehicle braking control, and the method comprises the steps that in the vehicle running process, in response to a received braking signal, the current vehicle speed parameter of a vehicle is compared with a preset vehicle speed threshold value, and a target comparison result is obtained; under the condition that the target comparison result is that the current vehicle speed parameter is smaller than or equal to the preset vehicle speed threshold value, the vehicle is braked through a main braking system; and under the condition that the target comparison result is that the current vehicle speed parameter is larger than the preset vehicle speed threshold value, the vehicle is braked through an auxiliary braking mode, and the auxiliary braking mode is used for representing that the auxiliary braking system participates in braking of the vehicle. The technical problems that the intervention time of the main braking system and the auxiliary braking system of the vehicle is not clear, the efficiency of cooperatively braking the vehicle is low, and the abrasion degree of the main braking system is high in the related technology are solved.

The invention relates to a vehicle braking system parameter optimization method and an optimization system thereof. The method comprises the following steps: a setting step: setting a vehicle braking system parameter optimization target, determining a to-be-optimized vehicle braking system parameter, and setting a working condition according to the to-be-optimized vehicle braking parameter; a simulation step of establishing a simulation environment and simulating a set working condition; a calculation step: extracting a vehicle signal related to the braking performance from the simulation result for each group of vehicle braking system parameters, and calculating an evaluation value of the braking performance of each group of vehicle braking system parameters based on the vehicle signal and a target; a judgment step: judging whether the evaluation value of the braking performance reaches a target or not, if not, adjusting parameters of a vehicle braking system and repeating iteration to perform the simulation step and the calculation step until the evaluation value reaches the target, and if yes, performing an output step; and an output step: outputting the vehicle braking system parameters and the corresponding evaluation values. According to the invention, the simulation environment can be used to replace a real vehicle and the simulation efficiency can be improved.

The invention discloses a vehicle brake control system based on a model predictive control algorithm and a control method thereof. The vehicle brake control system comprises a sensor module, a controller module and an actuator module. The sensor module is used for collecting vehicle surrounding environment information and vehicle driving state information in real time; the controller module establishes a prediction model for an MPC algorithm based on a vehicle dynamics model, predicts a vehicle state according to real-time information collected by the sensor module, and performs optimization control on a prediction result to obtain braking force distribution information; and the actuator module is used for responding to the control signal output by the controller module. By predicting the motion state of the vehicle in real time, braking force distribution is dynamically adjusted, and more efficient and safer braking control is achieved.

The invention provides a vehicle quick escape method and system, a medium and electronic equipment, and relates to the technical field of vehicle brake control, and the method comprises the steps that the running road surface working condition and motion state parameters of a vehicle are acquired in real time, and the running road surface working condition comprises road surface composition materials and distribution of pits in a road surface; predicting a driving track of the vehicle in a preset time period according to the motion state parameters; based on a Bayesian network model, determining the probability that a target wheel of the vehicle falls into the pit at the target moment according to the driving track and the driving road surface working condition; under the condition that the probability is larger than a threshold value, target braking force needed by the target wheel to break away from the potholes is determined; and according to the target braking force, braking control is conducted on the target wheel at the target moment, so that the vehicle is out of order. According to the invention, the problem in the prior art that a long time is delayed when the wheels of the vehicle sink into the pits until the wheels are separated is solved.

A vehicle braking system may include a first EMB assembly associated with a first wheel, a second EMB assembly associated with a second wheel, a third EMB assembly associated with a third wheel, a fourth EMB assembly associated with a fourth wheel, a control module to control application of signaling and power for operation of the first, second, third and fourth EMB assemblies where the power is provided from a first power network and a second power network, a first temporary power supply to backup the first power network, and a second temporary power supply to backup the second power network.

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 invention discloses a thermal management method and device of a brake disc, computer equipment and a storage medium. The thermal management method of the brake disc comprises the steps that a whole vehicle fluid mechanics model is used for calculating convective heat transfer coefficients of all positions on the brake disc at the current vehicle braking moment; obtaining the temperature of each position on the brake disc at the current vehicle braking moment and the vehicle speed at the current vehicle braking moment; according to the convective heat transfer coefficient and the temperature of each position on the brake disc and the vehicle speed of the vehicle, the temperature variation of each position on the brake disc is calculated; predicting a temperature peak value on the brake disc at the next moment according to the temperature variation and the temperature of each position on the brake disc; and when the temperature peak value on the brake disc at the next moment does not meet the preset temperature condition, a cooling system of the vehicle is controlled to cool the brake disc till the temperature peak value on the brake disc meets the preset temperature condition. According to the method, the heat dissipation effect of the brake disc is enhanced.

Disclosed are a vehicle braking control method and apparatus, and a vehicle. The method comprises: acquiring brake pedal information of a vehicle, wherein the brake pedal information is used for representing the working state of a brake pedal of the vehicle; determining braking demand information of a driving object of the vehicle on the basis of the brake pedal information, wherein the braking demand information is used for representing whether the braking demand of the driving object on the vehicle is urgent; determining a friction braking assistance parameter matching the braking demand information; adjusting initial braking demand torque to regenerative braking demand torque and friction braking demand torque on the basis of the friction braking assistance parameter of the brake pedal, wherein the initial braking demand torque is obtained on the basis of travel information of the brake pedal; and on the basis of the regenerative braking demand torque and the friction braking demand torque, controlling the vehicle to brake.

The invention discloses a vehicle automatic braking system parameter adjusting method and system based on artificial intelligence. The method comprises the following steps: S1, collecting real-time data of an AEB system in a vehicle driving process by using various sensors assembled on a vehicle, and transmitting the real-time data to a cloud platform; s2, the cloud platform firstly carries out time sequence and space alignment processing and processing on the collected data; s3, an appropriate algorithm is automatically selected through artificial intelligence, and various parameters of the AEB system are calculated and adjusted according to the processed data; and S4, after AEB parameter adjustment is completed, performing a multi-scene simulation test in a virtual environment, and evaluating the performance of the AEB system in different driving scenes. By introducing an AEB parameter adjustment method based on artificial intelligence, real-time dynamic adjustment of the AEB system is realized, manual intervention is reduced, continuous optimization is performed by using real-time data feedback, and the intelligence and adaptive ability of the system are improved, so that the performance and safety of the AEB system in different driving scenes are improved.