4025 results about "Brake force" patented technology

The invention discloses a switch loop data extraction method, device and equipment based on phase locking, and the method comprises the steps: carrying out the interval change analysis of operation data in a ring main unit, and recognizing a communication abnormal node through a phase locking technology; associating a mechanical vibration source based on the communication abnormal nodes, detecting a vibration conduction path, extracting current fluctuation characteristics, and determining position deviation; the operation current intensity is adjusted in combination with fluctuation characteristic parameters, and accurate off-position control is achieved through reverse braking force; constructing a dynamic threshold reference based on frequency domain analysis, and generating a complete operation record according to the dynamic threshold reference and the accurate parking data; performing typed grouping and transmission optimization on the data, and controlling data switching by adopting a gradually migrated beat sequence; and finally, through signal reconstruction and data fusion technologies, a switch loop data set with continuous time sequence and complete space is generated. The method can effectively cope with communication interference, mechanical vibration and other complex environmental factors, and improves the integrity and accuracy of data acquisition.

The invention relates to the technical field of elevator fault prediction, in particular to an elevator fault prediction method and system. The method comprises the following steps: collecting an operation vibration signal of an elevator brake through a vibration sensor, performing frequency domain conversion, performing vibration frequency disorder structure analysis, analyzing abnormal vibration frequency intensity, analyzing elevator braking force increment loss, and obtaining time sequence increment data; thirdly, incremental gradient nonlinear induction is carried out on the time sequence incremental data, and an elevator fault prediction model is constructed based on a K-nearest neighbor algorithm; the elevator fault prediction technology is optimized, so that the elevator fault prediction technology is more accurate.

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.

Disclosed is a corner module apparatus for a vehicle. The corner module includes a driving unit that provides drive power to a wheel of the vehicle, a braking unit that interferes with rotation of the wheel to generate braking power, and a suspension unit connected to the driving unit. The suspension unit absorbs shock transferred from a road surface. The corner module also includes a steering unit connected to the suspension unit and rotated about a steering axis inclined with respect to the wheel. The steering unit adjusts a steering angle of the wheel.

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.

A system is operable for controlling a force applied on a trailer being towed by a vehicle is described to a desired force Fd. The trailer has brakes and an optional motor for providing a propelling force to the trailer. A force sensor senses fore-aft forces between the vehicle and trailer at all times while the trailer is being towed. A controller receives signals from the force sensor and is operatively connected to the trailer brakes and the motor. The system controls the force between a towing vehicle and a trailer to the desired force Fd, by any one of: (a) operating the brakes to apply a braking force to the trailer; (b) activating the motor to apply a propelling force to the trailer; and (c) operating the brakes and activating the motor to apply both a braking and a propelling force to the trailer.

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.

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 automatic driving, in particular to a driving control method and system for an unmanned electric tractor, and the method comprises the following steps: obtaining humidity data to generate a state diagram, judging slip to trigger traction adjustment based on the state diagram, analyzing a slope recognition risk to generate a slope parameter, and reading a braking force to judge, coordinate and generate a distribution instruction. According to the method, the humidity difference is obtained through multi-point soil humidity monitoring, distribution characteristics are extracted, accurate sensing of the state of an operation area is achieved, the wheel rotating speed and traction force signals are combined, slipping is recognized in advance, the traction force is dynamically adjusted, and the driving force is kept stable; based on joint analysis of gradient change and vehicle state, slope risk is recognized in advance, optimization control is performed, braking force of front and rear wheels is dynamically distributed, slippage caused by unbalance is avoided, safety of complex terrains is improved, and vehicle stability, path control precision and energy utilization efficiency are improved through cooperation of multi-dimensional data perception and dynamic prediction.

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 relates to the technical field of electric scooters, in particular to a vehicle battery energy-saving control system of a high-strength impact-resistant scooter, which comprises an impact-resistant battery bin, a battery energy-saving control system and a battery energy-saving control system, wherein the impact-resistant battery bin comprises a multi-layer composite shell, a vibration sensor and a filling layer; the energy-saving control module comprises an intelligent detection unit, a central controller and a power optimizer; the power optimizer is used for adjusting the PWM duty ratio of the motor driving circuit according to the power mapping table; the energy recovery module is used for receiving brake force, a slope angle, a motor rotating speed and a vehicle mass estimation value, calculating an optimal recovery current through a Kalman filter, and injecting the recovery current into a battery pack by adopting a bidirectional Buck-Boost circuit; and the safety cooperative controller executes a hierarchical protection strategy, and a data bus is connected with each module to realize data interaction. Therefore, the problems that in the prior art, an electric scooter is insufficient in battery endurance, low in energy recovery efficiency, weak in impact resistance, poor in collaboration and the like are solved.

The invention discloses an integrated joint motor module and a robot. The joint motor module comprises an output mechanism used for outputting rotation power; the speed reduction and sensing mechanism is used for improving torque output and detecting output torque; the power mechanism is used for providing power; the control mechanism is used for controlling the power mechanism to work according to the position information, the rotating speed information and the output torque; the power mechanism comprises a motor rotor, a motor stator, a rotating shaft, a stator shell cover, a first bearing, a bearing pressing ring and an axial elastic deformation piece. The bearing pressing ring is arranged between the first bearing and the stator shell cover, and the axial elastic deformation piece is arranged between the bearing pressing ring and the stator shell cover; the control mechanism comprises an encoder rotor, an encoder stator and a driver. According to the motor module, the axial elastic deformation piece is arranged between the bearing pressing ring of the power mechanism and the stator shell cover, so that the relative position between the encoder rotor and the encoder stator below the stator shell cover is stable, and the size of the motor module is reduced.

The invention provides a retarding braking method and device, a vehicle control unit and a vehicle, and can be applied to the technical field of vehicle braking. The method comprises the steps that under the condition that it is determined that a vehicle enters a long downhill working condition, driving data of the vehicle are collected; determining a required braking force required by the vehicle based on the driving data; based on the battery SOC of the vehicle, a corresponding retarding braking strategy is determined and executed; wherein the retarding braking strategy is used for distributing respective target braking force of an electric driving system and a hydraulic retarding system in the vehicle, so that the braking force output by the vehicle is consistent with the required braking force. The corresponding retarding braking strategy is executed according to the SOC condition of the battery of the vehicle, the braking force of the electric driving system and the braking force of the hydraulic retarding system in the vehicle are dynamically distributed, and the energy recovery efficiency and the braking safety performance of the vehicle are both considered.

The invention belongs to the technical field of automatic control, and particularly relates to a digital control system for strip coiling equipment, which comprises the following steps of: firstly, comprehensively acquiring strip tension data and state characteristic information by combining a tension sensing assembly and image acquisition equipment, dynamically adjusting a braking torque parameter, and then, acquiring a dynamic control signal by taking the linear speed of a coiling machine as a target signal; the speed of the uncoiling machine and the speed of the traction roller are synchronously aligned through a following strategy, then a taper tension control mode is adopted, the tension value is dynamically adjusted in combination with real-time coiling diameter parameters, the tension stability and the coiling regularity in the coiling process are ensured, and finally the strip deviation problem is detected and processed in real time according to a closed-loop deviation correction mechanism. The equipment control strategy in the strip coiling process is deeply bound with uncoiling control, synchronous coordination, coiling control and a deviation correction core module, and the integrated control capability of multivariable coordination and self-adaptive optimization is achieved, so that the automation and intelligence level of the strip coiling process is effectively improved.

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

A control method for an electro-mechanical brake including a piston configured to push a brake pad toward a wheel disk through driving of a motor, the control method for an electro-mechanical brake including: detecting positions of the piston and current values of the motor while braking is performed; detecting piston position-based estimated braking force values based on the detected positions of the piston; detecting current-based estimated braking force values based on the detected current values of the motor; determining that a state of the brake pad has changed from an initial state to another state when the piston position-based estimated braking force values and the current-based estimated braking force values are different from each other; determining whether a thickness or physical property of the brake pad has changed when determining that the state of the brake pad has changed from the initial state to the other state; setting a new home position by compensating for a preset home position when determining that the thickness of the brake pad has changed; and detecting an actual braking force value based on a movement distance of the piston from the new home position, wherein the home position refers to a position set so that the piston is disposed at the position at the time of non-braking.

The invention discloses a dynamic adhesion coefficient correction evaluation method and system based on multi-source data fusion, and belongs to the field of vehicle electronic control, and the method comprises the following steps: S1, carrying out the data collection of a multi-source sensor; s2, calculating a slip rate based on data collected by a wheel speed sensor, calculating a dynamic compensation factor based on data collected by a suspension load sensor, correcting a centroid offset error based on data collected by an inertial sensor, and triggering segmented compensation based on data collected by a brake disc temperature sensor; s3, calculating a basic adhesion coefficient based on the slip rate; s4, correcting the basic adhesion coefficient based on the dynamic compensation factor and the corrected centroid offset; and S5, the basic braking force and the basic torque distributed by the ESC system are corrected. By adopting the dynamic adhesion coefficient correction evaluation method and system based on multi-source data fusion, high-precision correction of the dynamic adhesion coefficient and intelligent adjustment of the braking force are realized through multi-source sensor data fusion and ESC system integrated design.

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 slipping wheel braking control method and device and a vehicle, and is applied to the technical field of vehicle running control, and the method comprises the steps that under the condition that the vehicle is controlled to start a braking torque control function, according to the wheel speed deviation value of a target slipping wheel, the initial braking torque of the target slipping wheel or the brake torque of the vehicle is combined, and the braking torque of the target slipping wheel is controlled; obtaining a candidate braking torque of the target slipping wheel; the candidate braking torque is limited, and the target braking torque of the target slipping wheel is obtained; and according to the target braking torque, braking control is conducted on the target slipping wheel. According to the technical scheme of the embodiment of the invention, the accuracy of the braking torque of the wheel can be effectively improved, so that the braking control precision of the slipping wheel is effectively improved, and the driving safety and the driving stability of the vehicle during slipping are ensured.

An apparatus for a brake drum having a drum brake assembly with first and second brake shoes includes a motor and a planetary gear train for receiving torque from the motor and having an output gear. A ball ramp assembly receives torque from the output gear and has ends aligned with the respective first and second brake shoes. The motor is actuatable for lengthening the ball ramp assembly to move the brake shoes and apply braking force to the brake drum. A bi-stable locking mechanism selectively locks the planetary gear train to apply a parking brake to the brake drum.

The invention relates to the technical field of heavy-load trains, in particular to a simulation system, method, equipment, medium and product for a long marshalling heavy-load train, and the system comprises a traction simulation subsystem which is used for inputting train operation data into a preset traction characteristic curve to obtain a train traction force; the braking simulation subsystem is used for inputting the train operation data into a pre-constructed braking establishment process simulation model to obtain a train braking force; the longitudinal simulation subsystem is used for inputting the marshalling conditions into a pre-constructed buffer simulation model to obtain train coupler force; the decision optimization subsystem is used for obtaining a control command of the train based on the train operation data, the marshalling condition, the train traction force, the train braking force, the train coupler force and an optimization strategy; and the operation of the long and large marshalling heavy haul train can be simulated.

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

The invention discloses a vehicle brake pad wear degree prediction method and device based on working condition recognition, belongs to the field of brake pad wear degree prediction, and aims at solving the problems that in an existing vehicle brake system, brake pad friction prediction accuracy and robustness are poor; and wear prediction and brake system performance optimization cannot be efficiently and economically completed. The method comprises the following steps: carrying out clustering selection under difference maximization on a vehicle speed sequence of a vehicle to obtain a typical working condition; performing wavelet transform processing on the original vehicle speed sequences under different working conditions to obtain vehicle speed signals after reconstruction and noise reduction; carrying out matrix conversion related to a Gramer angle field on a plurality of subsequences in the vehicle speed signal under the typical working condition to obtain a two-dimensional image; extracting and calculating the spatial features and the time features in the two-dimensional image by using a hybrid neural network model to obtain a predicted value of the abrasion loss of the brake pad in the vehicle braking system at the current moment; and brake gain adjustment is conducted on a vehicle brake system, and the final brake torque is obtained.

A brake torque distribution device for distributing braking torque to wheels of a vehicle includes: a receiving unit for receiving vehicle driving information including required braking torque; a regenerative braking unit for generating regenerative braking torque; a braking torque generating unit for generating braking torque; and a braking control unit for controlling the braking torque generating unit to distribute the braking torque to the wheels of the vehicle, where the braking control unit may determine the braking torque distributed to the braking torque generating unit based on an optimal tire slip diagram stored in memory.

The invention discloses an intelligent control method and system for motorcycle calipers. According to the method, multi-modal data such as vehicle speed, wheel speed, piston displacement, brake disc temperature, inclination angle and transverse acceleration are collected in real time through a multi-source sensor and are preprocessed; calculating a braking demand and an adhesion coefficient according to the data, and recognizing a straight line, a curve or an emergency braking scene in combination with the inclination angle and the transverse acceleration; inputting the data into a pre-trained brake control machine learning model to generate a target brake force change curve; controlling the driving motor and the calipers to brake based on the curve, and regularly optimizing the model according to brake feedback and historical data; predicting a braking efficiency attenuation trend by combining a part degradation model, and compensating the braking force to update the model; the motor current is adjusted in real time through closed-loop control so as to follow the target braking force; and continuously monitoring the temperature of the brake disc, and triggering thermal attenuation compensation when the temperature exceeds a threshold value. According to the invention, self-adaptive, accurate and reliable intelligent braking of the motorcycle is realized.

The invention provides a transverse stability control method and system during braking of a vehicle on a split road surface, and belongs to the technical field of vehicle transverse stability control. According to the method, the expected braking strength zd is compared with the maximum braking strength zth which can be generated by the whole vehicle on the low-adhesion road surface, and when zd is smaller than or equal to zth, the braking force at the high-adhesion position is restrained, and the difference value between the braking force at the high-adhesion position and the braking force at the low-adhesion position is reduced or even eliminated through the design of the controller; when z dgt; when zth is greater than zth, through the design of a controller, the braking force at the low attachment part is kept at a peak value, the braking force at the high attachment part is regulated and controlled, and meanwhile, the rear wheel turning angle is controlled, so that an additional yawing moment is generated, and the expected yawing moment of the whole vehicle is compensated. The invention further provides a split road surface stability comprehensive risk index, and the stability of the vehicle during braking on the split road surface is comprehensively evaluated. When the vehicle exceeds a steady state boundary, active four-wheel steering intervenes. According to the invention, the transverse stability of the vehicle during braking on the split road surface is effectively improved.

Disclosed in the present application is a torque vectoring control system for an in-wheel-motor four-wheel-drive vehicle. In the torque vectoring control system, a driving style identification module determines the driving style of a driver during the travel of an in-wheel-motor four-wheel-drive vehicle; a vehicle state sensing module acquires a steering wheel angle and a longitudinal vehicle speed in real time, and performs fault state monitoring on the in-wheel-motor four-wheel-drive vehicle; a vehicle motion control module calculates an ideal yaw rate target of the in-wheel-motor four-wheel-drive vehicle; and a torque vectoring control module calculates an additional yaw moment on the basis of the ideal yaw rate target and an actual yaw rate, executes a corresponding fault handling strategy on the basis of a fault state monitoring result, and then performs torque distribution on the basis of the additional yaw moment combined with the fault state monitoring result to generate an additional driving torque and an additional braking torque of each wheel. The present application realizes self-adaptive yaw stability control for drivers having different driving styles.

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

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