4155 results about "Brake control" 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 relates to a dynamic load distribution method, device and equipment based on a vehicle body controller and a medium, and the method comprises the steps: collecting the mechanical load, electrical load and thermal load data of a vehicle body in real time through a distributed sensor network, and generating multi-source heterogeneous initial load data; performing standardization processing on the initial load data, and constructing a three-dimensional data cube type standard load data set; comprehensive characterization features are extracted through feature space mapping, and a fusion load feature set containing a threshold range is dynamically generated in combination with historical data; constructing a load correlation model based on the fusion features, and mapping to generate a steering and braking control parameter combination; and according to the real-time load threshold cross-border state, dynamically adjusting the task priority, allocating real-time calculation core resources to the chassis system, and generating an optimal allocation scheme. According to the method, the problems of multi-source load data fusion failure, resource allocation rigidity and safety task response delay in the prior art are solved, and dynamic load optimization of the vehicle body control system under complex working conditions is realized.

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 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 provides a brake-by-wire method and system based on personalized feature learning and intention evolution prediction and a vehicle. The invention discloses a brake-by-wire method based on personalized feature learning and intention evolution prediction. The brake-by-wire method comprises the following steps: acquiring real-time braking operation information of a driver, current state information of a vehicle and driving environment information of the vehicle; personalized braking characteristic parameters of the driver are obtained or updated; predicting a current braking intention type of the driver by utilizing a preset driving intention recognition model integrated with an attention mechanism; predicting the evolution trend of the current braking intention in a preset future time window; determining a group of target braking characteristic parameters according to the predicted current braking intention type and evolution trend in combination with the current state information of the vehicle and the driving environment information of the vehicle; and a brake control instruction of the brake-by-wire system is dynamically adjusted. According to the invention, more intelligent, smoother and predictable line control brake is realized.

A patient transport apparatus includes a base, a patient support deck, a plurality of wheels, a plurality of brakes, and an electro-mechanical braking system. The electro-mechanical braking system includes a linkage and an electrical braking assembly. The linkage is operatively coupled to the brakes to place the brakes in a braked state, a released state, or other state. The electrical braking assembly includes an actuator assembly that moves the linkage via a driving member. A user interface includes an input control for user engagement. A brake control circuit includes a hold circuit to generate an enable signal with a predetermined voltage in response to the user engagement with the input control, maintain the enable signal for a predetermined period following user disengagement with the input control, and operate the actuator assembly with the enable signal to move the driving member within the predetermined period.

A brake system for a motor vehicle has electromechanical wheel brakes, a brake operating unit and a central brake control unit. The wheel brakes each have a local brake control unit. The central brake control unit is connected to the brake operating unit and the local brake control units via a first data connection. The brake operating unit is connected to the local brake control unit of at least one wheel brake via a second data connection. In a normal operating mode the central brake control unit determines at least one brake demand from first operating information, received via the first data connection and transmits control signals corresponding to the brake demand to the local brake control units. In a fallback operating mode the local brake control units actuate the respective wheel brakes basis on second operating information, received via the second data connection.

The invention discloses a semitrailer automatic emergency braking control system and method based on vehicle-road cooperation. The system comprises an information acquisition module and a multi-stage AEB early warning module. The invention provides a semi-trailer braking control system, a multi-stage AEB braking module, an inverse braking module and a PID control module, and provides a braking control method using the control system, and accurate multi-stage early warning and multi-stage braking control are output for a semi-trailer under different road situations based on the vehicle-road cooperation technology. The brake deceleration output by the control strategy is converted into brake master cylinder pressure by constructing an inverse brake module; and based on a PID control module, the error between the ideal expected braking deceleration planned by the control strategy and the actual braking deceleration of the semi-trailer actually running under each working condition is reduced. The semitrailer can accurately judge and output accurate control braking deceleration according to different road scenes such as various road attachment conditions, and the requirement for automatic emergency braking control of the semitrailer under the complex road working conditions such as a low attachment road surface, a curve and a ramp is met.

The invention discloses a path optimization control method and system based on an AGV system, and relates to the related technical field of AGV control, and the method comprises the steps: receiving a first driving path of a first guide vehicle; establishing a plurality of buffer test areas for the plurality of continuous target points according to a preset distance; extracting a first buffer test area, and obtaining a corresponding first target point; when it is detected that the first guide vehicle enters the first buffer test area for deceleration test, generating a first deceleration test result; brake control parameter optimization is carried out, and a first section brake optimization result is generated; and brake optimization control is conducted on the first road section. According to the method, the technical problems that the AGV is unstable in driving and the safety is reduced due to the fact that accurate control is difficult to carry out according to a complex and changeable environment based on fixed path planning and speed control in existing AGV path optimization are solved, accurate braking control of an AGV system is realized, and the technical effects of improving task accuracy, driving safety and stability are achieved.

The invention relates to the technical field of automobile brake control, in particular to a self-adaptive brake kinetic energy recovery control method and system based on multi-sensor fusion. Tire wear and road surface feature data are collected through a multi-source sensing fusion unit, and a tire wear coefficient and a road surface friction coefficient are generated through an intelligent decision calculation unit; the method comprises the following steps of: integrating the nonlinear correlation of the multi-source sensing fusion unit and the self-adaptive control execution unit through a rule and data fusion algorithm, outputting a comprehensive friction coefficient, and dynamically adjusting the braking kinetic energy recovery force and response time by the self-adaptive control execution unit according to the comprehensive friction coefficient. The system comprises a multi-source sensing fusion unit, an intelligent decision calculation unit, the self-adaptive control execution unit and a closed-loop feedback calibration unit. The closed-loop unit corrects data deviation through cross validation of the laser radar and the motor torque inversion model, the problems of poor working condition adaptation and unreliable data are solved, and the kinetic energy recovery efficiency, the braking safety and the driving smoothness are improved.

The invention relates to an electronic mechanical braking system control method based on contact point detection and mode management. Comprising the following steps: step 1, designing a clamping force basic control algorithm based on stiffness characteristics and feedforward compensation of Stribeck friction in combination with a proportional-integral-differential control theory; 2, designing a contact point detection algorithm based on position signal identification by analyzing the typical characteristics of the contact points, and identifying the inherent relation between the position stable points and the contact points through experimental calibration; and step 3, designing a mode management system including clearance elimination, clearance keeping and clamping force control, and performing mode switching and keeping by judging a brake signal. The overall function design of contact point detection, mode management and brake control of the electronic mechanical brake system is comprehensively achieved, the control precision and function stability of the system can be remarkably improved, and a set of complete solution is provided for design and development of the brake-by-wire system in the future.

The invention provides a surrounding type numerical control rotary table intelligent braking system based on AI predictive control, and belongs to the technical field of intelligent manufacturing and numerical control. The problems that an existing numerical control rotary table braking system is lagged in response, lacks intelligent prediction and self-adaptive capacity, and is insufficient in control precision and attenuated in long-term performance are solved. The surrounding type numerical control rotary table intelligent brake system based on AI predictive control comprises a state acquisition module, an AI predictive module, a pressure control module, a surrounding type brake execution structure and a feedback correction module, an AI predictive mechanism and a self-correction feedback loop are introduced, intelligence, self-adaption and high responsiveness of brake control are achieved, and the brake control precision is improved. The positioning precision, the braking stability and the overall energy efficiency level of the numerical control rotary table are improved, and the numerical control rotary table has the advantages that the response speed is remarkably increased, the positioning precision is high, the self-adaptive capacity is high, the braking process is stable and the intelligent degree is high.

The invention discloses a vehicle active braking control method based on extended state observation, and the method comprises the steps: estimating unknown parameters of a vehicle through constructing an extended state observer, obtaining the output torque of the vehicle through an accessibility control strategy, obtaining the actual vehicle speed of the vehicle, and determining a vehicle speed estimation error. Calculating a discrete estimation performance index through a discrete estimation performance index function of the extended state observer, iteratively optimizing the extended state observer through a particle swarm optimization algorithm, and iteratively obtaining an optimal solution of a parameter vector of the extended state observer so as to minimize the discrete estimation performance index of the extended state observer. And the unknown parameters of the vehicle are optimally estimated to obtain the optimal output torque of the vehicle, so that the active braking control of the vehicle is realized, and the stable operation of the vehicle under the optimal output torque is ensured. The dynamic behavior can be monitored and adjusted in real time in the running process of the vehicle, and therefore the braking performance and safety of the vehicle are improved.

The invention provides a regenerative braking-based dynamic energy distribution method for a new energy automobile, which belongs to the technical field of braking systems and comprises the following steps: step 1, determining the total braking force currently required by the automobile, and further determining the distribution proportion of mechanical braking and regenerative braking; 2, evaluating the current acceptable charging power of the battery and the feedback power range of the motor, and further determining limit data of regenerative braking energy distribution; 3, the optimal regenerative braking force and mechanical braking force distribution proportion under the current working condition is determined; 4, the optimal regenerative braking force distribution proportion is converted into a regenerative braking force instruction, then a motor is controlled to generate corresponding regenerative braking torque based on the regenerative braking force instruction, the vehicle is braked, and energy is recycled; and 5, the mechanical braking force distribution proportion is converted into a mechanical braking force instruction, and then a mechanical braking device is controlled to generate corresponding braking force based on the mechanical braking force instruction. And more accurate brake control and energy management are realized.

The invention relates to a commercial vehicle integrated brake control and sensor system. The system comprises a multi-source sensor module used for acquiring sensor signals of operation of the commercial vehicle brake control system. The feature extraction module carries out filtering processing on sensor signals and extracts key feature parameters to construct a feature parameter matrix. In the braking decision execution module, a front and rear axle control unit calculates a front and rear axle braking force distribution coefficient based on the characteristic parameter matrix and generates an intelligent braking instruction; and the braking execution unit dynamically adjusts single-wheel braking force distribution according to the intelligent braking instruction to obtain braking execution parameters. And the evaluation optimization module judges the stability of the braking system according to the braking execution parameters and the operation real-time feedback data, and adjusts the braking force distribution parameters of each wheel to generate an optimized braking control strategy. By adopting the system, the multi-source data fusion precision, the dynamic adaptability of braking force distribution and the communication stability under complex working conditions in the braking process of the commercial vehicle can be improved, and the safety and reliability of the braking system are enhanced.

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 brake control device (1) controls a mechanical brake device (30) comprising: a booster mechanism; a pressing mechanism (31) that presses the booster mechanism by means of an output shaft that slides in response to rotation of a motor (32); and a biasing mechanism that applies force to the booster mechanism by means of a biasing member. The brake control device (1) comprises a drive driver (14) and a mechanism control unit (19). The drive driver (14) converts, in accordance with a target torque, electric power supplied from a power supply device (42) into electric power that is to be supplied to the motor (32), and outputs the converted electric power to the motor (32). The mechanism control unit (19) either permits or limits applying of force to the booster mechanism by the biasing mechanism provided to the mechanical brake device (30).

The invention discloses a hybrid crawler tractor for hills and mountains and a control method. The hybrid crawler tractor comprises a power system, a transmission system, an energy storage system, a driving system and a control system, the power system comprises an engine, a generator and a clutch; the transmission system comprises a mechanical coupling device, a gearbox, a power output shaft and the like; the energy storage system comprises a photovoltaic power generation panel and an energy storage device; the driving system comprises a driving system input shaft, left and right traction motors, left and right planet rows, driving wheels and the like; the control system comprises a whole vehicle controller, an energy storage device controller, a motor controller, an engine controller, a vehicle information sensor, a clutch control unit, a brake control unit and the like. According to the crawler tractor, a double-engine and motor mixed connection double-power flow structure is adopted, operation and running under various complex working conditions in hills and mountains are met, rich solar resources in the region are fully utilized, the advantages of a traditional crawler tractor and a new energy tractor are considered, and long-time operation in busy farming seasons is guaranteed.

The invention relates to the technical field of new energy vehicles, in particular to a driving and braking control method for a front and rear axle dual-motor driving pure electric commercial vehicle. Comprising the following steps: acquiring historical working condition data of the dual-motor pure electric vehicle; establishing a vehicle speed prediction model; setting network parameters of the vehicle speed prediction model, and training the prediction model; adjusting network parameters according to the predicted precision to obtain a vehicle speed prediction model; establishing a dual-motor pure electric vehicle model; establishing an improved DDPG proxy model based on a truncated triple Q network and learning rate scheduling; setting a state, an action and a reward function of the improved DDPG proxy model; training a control energy management model based on the training data set; validating the energy management model using the data set; and the trained model is embedded into a whole vehicle controller, and according to the current vehicle speed, the battery electric quantity SOC and the battery health state SOH, the distribution coefficient of the torque of the front axle and the rear axle of the vehicle is calculated in real time to control the operation of the vehicle.

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.

An electromechanical brake system (10) includes a first energy supply apparatus (20) and a second energy supply apparatus (21), a first system control device (30) and a second system control device (31), a plurality of electromechanical brake actuator devices (41), and a first plurality and a second plurality of electronic brake control systems (40a, 40b). Each of the electronic brake control systems is set up to control one of the electromechanical brake actuator devices. The first energy supply apparatus is connected to the first system control device and to each of the first electronic brake control systems, and the second energy supply apparatus is connected to the second system control device and to each of the second electronic brake control systems. A further control device (32, 47) may be connected to at least one of the first electronic brake control systems or one of the second electronic brake control systems.

The embodiment of the invention provides a vehicle energy recovery control method and device, a medium and a vehicle, and relates to the technical field of brake control. The method comprises the steps that a braking request of a target vehicle is responded, and current braking judgment parameters of the target vehicle are obtained; under the condition that it is determined that the target vehicle meets the preset energy recovery condition based on the current braking judgment parameters, the vehicle operation parameters are input into an intelligent decision-making model, and a braking force distribution strategy result is obtained; based on the braking force distribution strategy result, braking control is conducted on a motor control system and a braking system; the motor control system is used for providing regenerative braking force and generating recovery energy suitable for supplementing energy to the power battery. According to the embodiment of the invention, the vehicle operation parameters collected in real time are input into the self-adaptive adjustment intelligent decision-making model, and the braking force distribution strategy suitable for the current operation condition can be output, so that the accuracy and adaptability of braking force distribution are effectively improved.

A brake control device includes a brake operation member, a pressurization unit, a master cylinder unit, a connection path connecting a separation chamber and a reaction force chamber, an electromagnetic valve at the connection path, and a control device. The control device includes a specified control section configured to, when the brake operation member is operated in a closed state of the electromagnetic valve, execute activation-time control in which the pressurization unit supplies fluid to a servo chamber based on a predetermined pattern, a determination section configured to determine whether a pressure difference between pressure in the reaction force chamber and pressure in the separation chamber, is equal to or less than a threshold value, and a valve control section configured to open the electromagnetic valve when the determination section determines the pressure difference is equal to or less than the threshold value after start of the activation-time control.

A brake control device (1) comprises a target brake force determination unit (11), a target mechanical brake force determination unit (12), an adjustment unit (13), and a brake control unit (14). The target brake force determination unit (11) obtains a target brake force from a brake command. From the target brake force, the target mechanical brake force determination unit (12) obtains a first target mechanical brake force, which is a target value of the brake force to be exerted by a mechanical brake device (30). The adjustment unit (13) adjusts the first target mechanical brake force to obtain a second target mechanical brake force that repeatedly increases or decreases with respect to the first target mechanical brake force. The brake control unit (14) controls the mechanical brake device (30) according to the first target mechanical brake force or the second target mechanical brake force.

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.

The invention relates to the technical field of aircraft brake, in particular to an aircraft brake servo valve performance monitoring and health management method, which comprises the following steps of: acquiring a servo valve theoretical output current and a servo valve recovery current; according to the theoretical output current of each channel of the servo valve and the recovery current of the servo valve, whether brake current output loops of the two channels are abnormal or not is judged; when one channel of brake current output loop is abnormal, whether the other channel of brake current output loop is abnormal or not is judged according to the actual brake pressure and the theoretical pressure; and when the brake pressure output loop of the other channel is normal, brake control is carried out on the servo valve through the channel. By monitoring the performance of the servo valve in real time, it is guaranteed that dynamic switching can be achieved when the performance of the servo valve drifts in the airplane braking process, the influence of the performance drifting of the servo valve on the airplane braking effect is avoided, and the safety of a braking system is improved.

The invention relates to the field of rail traffic intelligent control, and discloses a rail obstacle real-time detection and braking system based on multi-sensor redundancy, which comprises at least two groups of sensing modules arranged at the front end and the rear end of a train, and each group of sensing module comprises a laser radar used for collecting three-dimensional point cloud data of a forward or backward rail area of the train; the binocular camera is used for acquiring color image data and depth image data in corresponding directions; and the robot controller is in communication connection with the sensing module and is used for receiving sensing data acquired by the laser radar and the binocular camera and executing obstacle recognition, redundant information fusion and brake control logic. By constructing a multi-sensor redundancy sensing structure based on the laser radar and the binocular camera, high-robustness recognition of a dynamic or static obstacle target in a complex orbit environment is realized, and the effect of remarkably improving the obstacle detection accuracy and the false alarm suppression capability is achieved.

The invention discloses an EPB anti-lock control method and system based on a self-adaptive wheel speed filtering algorithm, and belongs to the field of anti-lock control, and the method comprises the following steps: S1, collecting driving parameters in a vehicle driving process in real time, extracting feature vectors in the driving parameters after preprocessing, inputting the feature vectors into a pre-trained driving condition classification model, and obtaining a driving condition classification model; outputting the current driving condition type; s2, correcting a wheel speed signal based on an extended Kalman filter with determined parameters; s3, calculating a tire pressure deviation ratio based on the corrected wheel speed signal; and S4, when it is detected that the tire pressure deviation ratio exceeds a set threshold value, an EPB anti-lock control system is triggered. By the adoption of the EPB anti-lock control method and system based on the self-adaptive wheel speed filtering algorithm, the wheel speed information can be accurately extracted under the complex road and environment conditions, the calculation precision of the tire pressure deviation ratio is remarkably improved, and therefore a more reliable basis is provided for starting emergency braking.