3231results about "Braking systems" patented technology

The invention relates to the technical field of vehicle safety, and discloses a braking method and system based on vehicle automatic emergency early warning and braking and a storage medium. The method comprises the following steps: fusing multi-modal sensor data to generate a dynamic environment perception graph and calibrating the dynamic environment perception graph; generating a real-time risk distribution map and a potential collision probability prediction matrix based on the dynamic risk assessment model; carrying out matrix multi-stage decision optimization to generate emergency braking trigger conditions, and dividing early warning levels and scheduling according to the conditions and a risk map; and the braking system control parameters are adapted according to the early warning instruction set, and a final execution scheme is generated after verification. The system comprises a sensing module, an evaluation module, a decision module, an early warning module and an execution module. Electronic equipment and a computer readable storage medium can execute the method. Through multi-modal fusion, dynamic risk assessment, graded early warning and redundancy check, the safety performance of the vehicle in a complex environment is improved, accurate early warning and reliable braking are achieved, and the method is suitable for the technical field of vehicle safety.

A number of variations are disclosed including a system and method for modifying, in real-time, at least one brake or powertrain application to individual roadwheels of a vehicle to increase lateral maneuver capability in a vehicle having an operational, partially operational, failing, or failed electronic steering system. The system and method may include modifying at least one brake or powertrain command to individual roadwheels where vehicle instability is detected.

The invention relates to the technical field of vehicle energy recovery, and particularly discloses a braking force distribution method and device based on double-layer self-adaption, a vehicle and a storage medium, and the method comprises the steps that in response to a braking signal, the battery pack remaining capacity, a vehicle speed signal, the wheel longitudinal adhesive force, the wheel vertical force and the braking demand strength of the vehicle are obtained; the remaining electric quantity of the battery pack and the vehicle speed signal are used for entering the precondition of braking force distribution, and a real-time adhesion coefficient is determined based on a preset tire-road adhesion coefficient recognition model; based on the real-time adhesion coefficient, the wheel longitudinal adhesion force and the wheel vertical force, the optimal slip rate and the optimal adhesion coefficient of the vehicle are determined; and according to the optimal slip rate, the optimal adhesion coefficient and the braking demand strength and based on the braking force distribution model, the braking force distribution of the front and rear wheels of the vehicle is determined, the direction stability of the vehicle is effectively improved, and meanwhile, the braking energy recovery efficiency is improved to the maximum extent on the premise that the braking direction stability is met.

Embodiments are presented herein for trailer sway detection and mitigation using a camera mirror system. In one embodiment, a vehicle controller is provided comprising: one or more processors; a non-transitory computer-readable medium; and program instructions stored on the non-transitory computer-readable medium. When executed by the one or more processors, the program instructions cause the one or more processors to: monitor images captured by at least one image capture device to detect sway of a trailer being towed by a tractor; and in response to detecting sway of the trailer, cause a braking system to apply a brake to attempt to reduce to the sway of the trailer.

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.

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.

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

A method autonomously controls at least one actuator of an automotive device. The actuator has an influence on the trajectory of the automotive device. The method includes acquiring parameters relating to the trajectory of the automotive device and to the speed of the automotive device, and having a computer calculate a control setpoint for each actuator, as a function of the parameters, using a controller. The controller used varies according to the speed of the vehicle.

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.

Disclosed is an adaptive control method and system for train operating condition identification. The method includes acquiring train operating state data under various traction conditions and calculating traction and braking performance data. An adhesion condition characteristic data set is formed, and train adhesion conditions are divided into Nz grades based on this data set, where Nz is a natural number. The current adhesion condition grade Nd is identified using the number of adhesion condition grades and current operating state data, where Nd≤Nz, establishing a mapping relationship between an adhesion coefficient and maximum deceleration for braking under the identified grade. An optimal train protection curve is generated. By clustering and grading adhesion conditions through a clustering algorithm, the method achieves more accurate adhesion condition analysis. Adaptively generating optimal train protection curves based on adhesion condition grades enhances the reliability and safety of train operations.

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

The invention discloses a vehicle control method and device and a vehicle. The method comprises the steps that in a current stroke determination period, when it is determined that an accelerator is released and a brake pedal is stepped down, the current stroke of the brake pedal is determined; if the difference value between the current stroke and the previous stroke of the previous stroke determination period is smaller than or equal to a preset difference value threshold value, the current deceleration is determined according to the current stroke, and the motor is controlled to decelerate according to the current deceleration and a proportional-integral control strategy; if the difference value between the current stroke and the previous stroke is larger than a preset difference value threshold value, or the duration of the maximum stroke of the current stroke reaches a first preset duration, an electromagnetic brake is controlled to conduct braking; and in the process of controlling the motor to decelerate, if the duration of the opposite actual rotation direction of the motor to the initial rotation direction reaches a second preset duration, updating the proportional-integral control strategy, and controlling the motor to operate according to the updated proportional-integral control strategy. According to the technical scheme, the vehicle can be better controlled.

The invention discloses a heavy commercial vehicle yaw control system with delay compensation and slip suppression. A state sensing unit collects signals and sends data to a yaw control unit and a braking force control unit. The yaw control unit acquires a desired yaw moment and a braking moment. A yaw velocity tracking module calculates a desired yaw velocity. And the wheel slip suppression module obtains a brake torque for avoiding slip through control. The braking force control unit addresses braking force distribution under yaw moment control and wheel slip suppression, and compensates for the delay of the pneumatic brake system. And the braking force cooperative distribution module calculates the expected braking chamber pressure of each wheel according to the required yawing moment and the braking moment. The braking force delay compensation module calculates and predicts the pressure of a braking chamber through a prediction model, and obtains control input of a braking actuator through a PID controller so as to compensate delay. According to the system, the driving safety of the heavy commercial vehicle under the complex road condition is improved through cooperative control.

Control method and system (99) of a vehicle (1) moving on a road surface, wherein the system comprises a detection module (2) for detecting in real time a respective hydroplaning intensity (HI) for each tyre (3) of the vehicle (1), an actuation device (9) connected to each wheel (7) of the vehicle (1) and a command and control unit (8) programmed and configured for performing the control method comprising:—comparing each respective hydroplaning intensity (HI) with a first threshold;—upon the occurrence of a starting condition such that the respective hydroplaning intensity (HI) of at least one tyre (3) reaches the first threshold, then:—calculating in real time a reference value (YRr) of a parameter representative of a lateral motion of the vehicle (1) as a function of a longitudinal speed (Vxc) and of a steering angle (STA) of the vehicle;—calculating in real time a corrective moment (Mz) as a function of the reference value (YRr) and of a current value (YRc) of the parameter detected in real time;—applying in real time to each wheel (7) a respective torque (Tr) calculated in real time as a function of the corrective moment (Mz) and of the hydroplaning intensity (HI) of the respective tyre (3).

The invention relates to the technical field of vehicle steering, in particular to a vehicle auxiliary steering control method and device, a controller, a vehicle and a medium. The method comprises the steps that when a vehicle meets a preset auxiliary steering condition, the vehicle is controlled to execute auxiliary steering operation; the auxiliary steering operation comprises the steps that the braking force of an inner front wheel is adjusted; and the two rear wheels are controlled to slide. The turning radius of the vehicle can be fully reduced by executing the auxiliary steering operation, the cost is reduced, and the universality is high.

Disclosed in the present application is a wheel anti-lock braking system applicable to hill braking. In the wheel anti-lock braking system, a wheel speed identification module is used for identifying a vehicle wheel speed signal and a wheel acceleration signal; a vehicle speed acquisition module is used for calculating a vehicle body speed signal; a driving intention identification module is used for obtaining a front and a rear axle enable flag bit; a state machine module is used for determining whether the working state of a low-speed hill anti-lock braking system is a standby state or a shutdown state, and starting a conventional anti-lock braking system when the working state of the low-speed hill anti-lock braking system is a shutdown state; the state machine module receives the front and rear axle enable flag bits, and transmits the front and rear axle enable flag bits to a control logic module when the working state of the low-speed hill anti-lock braking system is a standby state; and the control logic module is used for sending a low-speed hill anti-lock braking system control command when wheels show a tendency to lock up. The present application realizes anti-lock braking control over wheels at low speeds, especially during hill braking, which cannot be achieved by conventional wheel anti-lock braking systems.

The invention relates to the technical field of vehicles, and provides an anti-lock control method for a multi-axle vehicle. The method comprises the following steps: S1, acquiring driving state information of wheels, wherein the driving state information comprises a slippage degree, a wheel speed deceleration and a wheel speed vector; s2, under the condition that the slippage degree and the wheel speed deceleration meet the first condition, the ABS adjusting device enters a pressure reduction mode; s3, under the condition that the wheel speed vector meets a second condition, the ABS adjusting device enters a pressure maintaining mode; s4, under the condition that the slippage degree and the wheel speed vector meet a third condition, the ABS adjusting device enters a pressurization mode; and S5, anti-lock control is conducted on the multi-axle vehicle according to the pressure reduction mode, the pressure maintaining mode and the pressure increasing mode. According to the method, the problem that some wheels are easy to lock due to the deviation of empirical values and load distribution in the prior art is solved, the adaptability and the braking safety of the whole vehicle chassis can be greatly improved, and the braking performance of the vehicle is further improved.

A vehicle motion management, VMM, system for a heavy-duty vehicle has at least one wheel speed sensor to output a wheel speed signal indicative of a rotation speed of a wheel on the vehicle, and at least one torque-generating device to apply torque to the wheel. The VMM system comprises processing circuitry arranged to determine at least the direction of a current applied torque at the wheel, and in preparation for determining wheel speed by the wheel speed signal, to apply a transient amount of torque to the wheel by the torque-generating device during a limited time period in a direction opposite to the direction of the current applied torque at the wheel.

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 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 utility model provides a wheel speed sensor signal analysis circuit, which is used for enabling the circuit to be compatible with a standard current type wheel speed sensor and an AK protocol current type wheel speed sensor at the same time, and comprises an overcurrent protection module, a current sampling resistor and a wheel speed signal output module, the overcurrent protection module is used for closing the connection with the wheel speed signal output module when the signal of the wheel speed sensor is short-circuited; the wheel speed signal output module is used for outputting a level signal corresponding to a wheel speed sensor signal; the overcurrent protection module is connected with one end of the current sampling resistor; one end of the current sampling resistor is connected with the wheel speed signal output module; the other end of the current sampling resistor is grounded.

The invention discloses a heavy vehicle AEB braking method and system based on multi-source data fusion. The AEB braking method comprises the following steps that (1) a model is established; 2) scoring driving; 3) judging a driving style; 4) AEB strategy adjustment; 5) automatically matching a preset strategy; and 6) secondary adjustment of the AEB strategy. According to the invention, the problem of poor braking effect caused by insufficient adjustment of a single environment or vehicle factors is solved.

The invention provides a vehicle control method, a vehicle and a computer readable storage medium, and relates to the field of vehicle control, the method comprises the following steps: when it is judged that the vehicle slides downwards due to the action of gravity during a climbing period, if a brake pedal stroke is received, obtaining a first braking force distributed for wheels according to the brake pedal stroke, under the condition that the first braking force is larger than the wheel braking force extreme value, the first braking force is reduced to be smaller than the wheel braking force extreme value, second braking force is obtained, the service braking system is controlled to apply braking force to the wheels based on the second braking force, the slip rate of the wheels is obtained, and when the slip rate of the wheels is smaller than the minimum value of the threshold value interval, braking is conducted. And a power system and / or a parking braking system are / is controlled to conduct braking force compensation on the wheels so that the slip rate of the wheels can be within the threshold value interval. According to the method, the vehicle can be prevented from losing stability under the condition that the vehicle falls down or slips, and the stability and safety of the vehicle in a cross-country scene can be improved.

A computer-implemented method performed in a vehicle control unit (130, 140) for controlling motion of a heavy-duty vehicle (100), the method comprising obtaining a vehicle motion request, wherein the vehicle motion request is indicative of a target curvature creq and a target acceleration areq, determining a motion support device, MSD, control allocation (Ti / λi / ωi / δi) based on the vehicle motion request, determining a dynamic longitudinal wheel slip limit (λlim / ωlim) based on the vehicle motion request and separately from the MSD control allocation, where the dynamic longitudinal wheel slip limit increases with a decreasing target curvature, and controlling the motion of the heavy-duty vehicle (100) based on the MSD control allocation constrained by the dynamic longitudinal wheel slip limit.

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.

A battery electric vehicle includes a driving operation member including an accelerator pedal, a simulated gear shifting operation member, and a control device. The control device is configured to execute, by selection by a driver, a control mode in which a driver demand torque for driving an electric motor is calculated based on an operation amount of the accelerator pedal and operation of the simulated gear shifting operation member, and perform a hold assist when the control device detects that the battery electric vehicle is stopped on a road surface having a gradient. The hold assist includes outputting a hold assist torque that is a drive wheel torque in an opposite direction of gravity, and ending the output of the hold assist torque and performing switching to output of the driver demand torque, in response to exceedance of the driver demand torque over the hold assist torque.

A computer-implemented method performed in a vehicle control unit for controlling motion of a heavy-duty vehicle. The method includes obtaining a vehicle motion request, wherein the vehicle motion request is indicative of a target curvature and a target acceleration, determining a motion support device, MSD, control allocation based on the vehicle motion request, determining a dynamic wheel slip angle limit based on the vehicle motion request, where dynamic wheel slip angle limit increases with a decreasing target acceleration, and controlling the motion of the heavy-duty vehicle based on the MSD control allocation constrained by the dynamic wheel slip angle limit.

A computer implemented method for controlling at least one driven and / or braked wheel of a heavy-duty vehicle includes configuring a default inverse tire model and a boost inverse tire model, where each inverse tire model represents a respective relationship between longitudinal wheel slip and longitudinal wheel force at the wheel, where the boost inverse tire model is associated with a higher maximum obtainable wheel slip value for the wheel compared to the default inverse tire model, obtaining a motion request indicative of a desired longitudinal force to be generated by the wheel, selecting the boost inverse tire model as active inverse tire model in response to detecting a boost signal and selecting the default inverse tire model as active inverse tire model otherwise, and controlling the at least one driven and / or braked wheel in dependence of the motion request and based on the active inverse tire model.