2321 results about "Vehicle brake" 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.

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 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.

According to the new energy automobile brake pressure control method based on dynamic environment perception, a multi-window environment perception dynamic time warping algorithm is constructed, so that the similarity of different driver brake sequences is analyzed more meticulously; according to the method, a pavement adhesion coefficient observer for optimizing variable structure Kalman filtering based on a deep reinforcement learning algorithm is provided to calculate a pavement adhesion coefficient; secondly, a slip rate dynamic adjustment factor is obtained through calculation based on a wheel dynamics model, a vehicle density correction coefficient is obtained through calculation based on vehicle density, a road adhesion correction coefficient is obtained based on a road adhesion correction parameter constraint expression, and influences of different external environments on the road adhesion coefficient can be fully considered; the brake pressure calculation is more reasonable, and the driving safety is improved. According to the method, classification results of different drivers are combined, a comprehensive self-adaptive brake pressure calculation model is constructed to cope with different types of drivers, and corresponding final brake pressure is obtained.

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.

An electrohydraulic multi-circuit power brake system for autonomous driving. The power brake system includes a piston-cylinder unit for each brake circuit, using which the brake circuits are connected to a common power brake pressure generator. In the event of a failure of the power brake pressure generator, the power brake system can be actuated with a hydraulic pump of a slip control system of the vehicle brake system.

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 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 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 belongs to the technical field of data processing, and particularly relates to a vehicle brake reminding method and system based on big data, and the method comprises the steps: collecting environment data around a vehicle through a sensor in the vehicle, and collecting historical driving data, including driving habits of a driver, a vehicle driving track and a road congestion condition; formats of data from different sources are unified, subsequent processing and analysis are facilitated, and data from different sensors and external data sources are fused; based on the driving state of the current vehicle and the surrounding environment data, the road congestion condition and the accident occurrence probability are analyzed in real time, a machine learning or deep learning model is utilized, historical data and real-time data are combined, and the necessity and the emergency degree of braking under the current road condition are evaluated; according to the real-time analysis result and the brake risk assessment, whether the driver needs to be reminded to brake is determined, and the effects of predicting possible brake risks in the future, reminding the driver to pay attention to the front road condition and taking necessary precautionary measures are 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 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.

The invention relates to a vehicle braking system, a vehicle chassis system, a vehicle and a vehicle braking method.The vehicle braking system comprises a steering device used for achieving steering of wheels; the control device is used for controlling the steering device so that the steering device at least has a braking steering mode and a parking steering mode; wherein when the steering device is in the brake steering mode, the steering angle of at least one wheel exceeds the target steering angle of the wheel; when the steering device is in the parking steering mode, the steering angle of at least one wheel is a preset parking steering angle. The vehicle braking system, the vehicle chassis system, the vehicle and the vehicle braking method have the beneficial effects that the vehicle braking system, the vehicle chassis system, the vehicle and the vehicle braking method which can adapt to various states of the vehicle to obtain adaptive braking force are provided.

The invention relates to the technical field of vehicle control, and provides a redundancy control method and system for an anti-lock braking system under an EMB system and a vehicle. The redundancy control method comprises the steps that in response to a clamping force request transmitted by a central domain controller, motor control is conducted; the method comprises the following steps: in response to a central domain controller fault signal, judging a vehicle braking working condition, determining an initial clamping force request according to the vehicle braking working condition, triggering braking, adjusting the clamping force request according to a vehicle state, calculating a slip rate based on a vehicle wheel speed, comparing the slip rate with a slip rate target range, and adjusting the clamping force request according to a comparison result. Performing motor control; wherein the slip rate target range is adjusted according to the road surface condition obtained by recognizing the image of the road surface in front of the vehicle. The ABS function has redundancy control, rapid braking is guaranteed, meanwhile, longitudinal braking force and lateral stability are better balanced, and higher guarantee is provided for driving safety.

The invention provides a braking method, an integrated braking control system and a vehicle, the method is applied to the technical field of automobile braking, and the method comprises the steps that the current working condition of the vehicle is detected; when it is detected that the current working condition is the ramp working condition, the target whole vehicle deceleration of the vehicle is obtained according to the actual opening degree of a brake pedal; and the actual gradient of the road where the vehicle is located currently is obtained, the brake pedal feeling optimization value of the vehicle is calculated according to the actual gradient, and the braking force output by a braking system of the vehicle is determined according to the target whole vehicle deceleration and the brake pedal feeling optimization value. According to the method, the whole vehicle deceleration needed by the current stroke can be obtained based on the actual opening degree of the vehicle brake pedal, the deceleration needed by the brake system is calculated through the gradient, the corresponding brake force is obtained for brake control, and therefore the pedal feeling of the vehicle in the ramp running process is effectively improved, and the driving experience of a user is more comfortable and intelligent.

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.

The embodiment of the invention provides an intelligent maintenance method and device for a vehicle braking system, equipment and a storage medium. The method comprises the steps of collecting multi-dimensional state data of the EMB system, inputting the multi-dimensional state data into a preset dynamic analysis model, determining the health degree of the EMB system, generating a maintenance suggestion according to the health degree and a preset dynamic threshold value, and displaying the maintenance suggestion to a user through a vehicle-mounted terminal. Through the method, the maintenance efficiency and accuracy of the EMB system are improved, the service life of the EMB system is prolonged, the vehicle driving safety is improved, the maintenance cost is reduced, and the user experience is improved.

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