570 results about "Vehicle engineering" patented technology

The invention provides a tractor semitrailer full-working-condition active stability control system and method, and belongs to the technical field of vehicle engineering. The system comprises a kinetic model module, a reference quantity determination module and an active stability controller module. The dynamic model module constructs a linear three-degree-of-freedom tractor semitrailer model, a hub motor model and a longitudinal driver model. The reference quantity determination module generates an ideal state value according to the steady state condition of the system and corrects the ideal state value in combination with the road attachment condition. The active stability controller module is divided into three layers, an MIMO-IMFAC controller calculates additional yawing moment, a torque optimization controller optimizes tire load distribution through a quadratic programming algorithm, and a driving / braking torque distribution controller preferentially uses regenerative braking and dynamically adjusts braking torque of the semitrailer according to the yawing moment. By adopting the control system and the control method, the stability and the dynamic response capability of the vehicle under complex working conditions are remarkably improved.

The invention discloses a braking system and a vehicle, and relates to the technical field of vehicle engineering. In the braking system, a braking main body comprises a hydraulic driving assembly and two braking clamping plates; at least part of the structure of the hydraulic driving assembly is arranged in the suspension frame, and the two output ends of the hydraulic driving assembly stretch out of the two ends of the suspension frame in the transverse direction correspondingly. The two brake clamping plates are arranged on the two sides of the suspension frame in the transverse direction and connected to the two output ends of the hydraulic driving assembly correspondingly. The bottom ends of the brake clamping plates are located below the suspension frame, and the hydraulic driving assembly can drive the two brake clamping plates to move at the same time, so that the bottom ends of the two brake clamping plates get close to or away from each other in the transverse direction. According to the braking system, the bottom ends of the two braking clamping plates can be close to each other so as to hold the track in a matched mode on the two sides of the track and conduct friction braking, at least part of the structure of the hydraulic driving assembly can be arranged in the suspension frame and can be connected to the upper structures of the braking clamping plates, and the requirement for occupying the external space of the suspension frame can be reduced while braking is achieved.

The invention discloses an unstructured environment motion planning method, device and equipment, and relates to the field of automation technology and vehicle engineering, and the method comprises the steps: inputting a to-be-tested unstructured environment pavement topographic image into a neural network model, determining the probability of any terrain type to which each pixel in the to-be-measured unstructured environment pavement topographic image belongs; adopting a Bayesian regression model to determine comprehensive passable risks under different road surfaces according to the probability of any terrain type to which each pixel belongs; an entropy risk measurement method is adopted to convert the comprehensive passable risks under different road surfaces into quantitative risks, and a passable map is generated; according to the trafficability map, determining trafficability parameters of the motion planner based on the cross entropy; according to the method, a motion planner based on cross entropy is utilized to perform motion planning on a vehicle in a to-be-detected unstructured environment according to the trafficability parameters, so that comprehensive probabilistic evaluation on terrain risks is realized, and the defects of uncertainty of terrain perception and terrain adaptability are overcome.

The invention relates to a vehicle running control method and device, a vehicle, a storage medium and a program product in the technical field of vehicle engineering.The method comprises the steps that in response to braking torque control of the vehicle in a driving running state, the wheel speed difference and the wheel acceleration of left and right wheels of the vehicle are obtained; according to the magnitude relation between the wheel speed difference and a plurality of speed difference threshold values and the magnitude relation between the wheel acceleration and a plurality of acceleration threshold values, target control states are determined, and each control state is calibrated with a corresponding braking force change strategy, a corresponding braking force change slope and a corresponding driving torque change strategy; and controlling the vehicle to run according to the braking force change strategy, the slope and the driving torque change strategy corresponding to the target control state. And the MTC does not excessively reduce the driving torque, so that the driving capability of the vehicle is enhanced.

The invention discloses a vehicle braking method, device and equipment and a storage medium, and belongs to the field of vehicle engineering. The method comprises the steps that first braking operation is received, and the first braking operation is used for controlling a hydraulic braking system to conduct hydraulic braking; according to the state of at least one component in the hydraulic braking system, the working state of the hydraulic braking system is determined; and according to the working state of the hydraulic braking system and the running state of the vehicle, an EPB is controlled to conduct linear braking. The method can ensure the driving safety.

The invention discloses an intelligent cabin control method and related equipment, relates to the field of vehicle engineering, and mainly aims to solve the problem that an intelligent cabin of a current vehicle still depends on manual control too much. The method comprises the steps that multi-source sensing data of a vehicle are acquired, and the multi-source sensing data comprise driver information, passenger labels and event types; based on the multi-source perception data, calling a decision model to carry out branch processing so as to output audio configuration parameters, the audio configuration parameters including a volume level, an EQ parameter and a sound area switch; and packaging a control instruction based on the audio configuration parameter to control multimedia of the vehicle. The method is used for the intelligent cabin control process.

The method is mainly applied to the technical field of vehicle engineering. The invention discloses a combined driving assistance vehicle driving control method, system and device and a medium. The method comprises the steps that running state information of a vehicle and traffic state information of the position where the vehicle is located are obtained; generating a driving path for guiding the vehicle to pass through the traffic signal prompt area according to the traffic state information, and determining the speed of the vehicle when the vehicle runs on the driving path; inputting the running state information and the vehicle speed into a preset energy consumption characteristic model, and determining the energy consumption of the vehicle when the vehicle runs on the running path through the energy consumption characteristic model; and generating a control instruction set based on the driving path, the vehicle speed and the energy consumption, and controlling the vehicle to execute driving operation according to the control instruction set. According to the invention, through the combined decision and the driving assistance control operation, the driving intelligence is obviously improved.

The invention discloses an air filtering system and method, and relates to the technical field of vehicle engineering.The air filtering system comprises an air inlet module, an air inlet flow control module, an air filtering module and a temperature detection module, and the air inlet module comprises a high-temperature air guiding pipe and a normal-temperature air guiding pipe; the normal-temperature air guide pipe is used for sucking normal-temperature air in the external environment; the high-temperature air guide pipe is used for sucking high-temperature air generated in an engine cabin; the air filtering module is used for filtering the mixed air; the filtered mixed air enters the engine; the temperature detection module is used for detecting the mixed air temperature of the mixed air; the air inlet flow control module is used for controlling the air flow proportion between the normal-temperature air and the high-temperature air sucked by the air inlet module according to the mixed air temperature so that the mixed air temperature can be within the standard temperature interval. The filtering effect of the air filtering module can be improved, the service life of the air filtering module can be prolonged, and the maintenance cost of the air filtering module is reduced.

The invention discloses a method, a device, equipment, a medium and a product for identifying abnormal driving energy consumption of a vehicle, and relates to the technical field of vehicle engineering.The method comprises the steps that target driving working condition data and target driving road condition data corresponding to a to-be-detected vehicle in a to-be-detected travel section are acquired; according to the target driving condition data and the target driving road condition data, clustering the to-be-detected travel segment, and determining a target cluster to which the to-be-detected travel segment belongs; and determining a target energy consumption baseline value corresponding to the target cluster, determining a to-be-detected energy consumption value generated by the to-be-detected vehicle in the to-be-detected travel section, and determining whether the to-be-detected vehicle has abnormal driving energy consumption in the to-be-detected travel section according to the target energy consumption baseline value and the to-be-detected energy consumption value. According to the method, the dynamic target energy consumption baseline value is used for identifying the abnormal driving energy consumption of the vehicle, and compared with the prior art that a single fixed energy consumption baseline value is used for identifying the abnormal driving energy consumption of the vehicle, the abnormal driving energy consumption identification accuracy is improved, and the phenomenon of misidentification is reduced.

The invention belongs to the technical field of vehicle engineering mode authentication, and particularly relates to a TEE-based vehicle engineering mode authentication method, system and device and a storage medium, and the method comprises the steps: obtaining pre-collected vehicle engineering mode request data, and generating a one-time password based on a vehicle VIN code contained in the request data; responding to the password input by the user side, generating a one-time password in the TEE, and comparing the one-time password with the input password to realize authentication of the vehicle engineering mode; and if the comparison result is consistent, entering a vehicle engineering mode, and executing a symmetric key updatable mechanism. Through the scheme, authentication of the vehicle engineering mode can be efficiently and safely completed, and safe access of engineering modes such as vehicle diagnosis, debugging, testing, development and parameter setting based on a trusted execution environment is realized, so that the overall safety and reliability of a vehicle system are improved.

This invention discloses a spoked wheel and a rail transit vehicle, relating to the field of vehicle engineering technology. The spoked wheel includes a rim, a hub, and multiple spokes; the hub is located at the center radially of the rim; all spokes constitute a spoke assembly, with the inner radial end of each spoke fixed to the outer circumferential surface of the hub and the outer radial end fixed to the inner circumferential surface of the rim; on the inner circumferential surface of the rim, the connection area of ​​the spoke assembly is located at the center axially, and annular mounting grooves are respectively provided on both sides of the connection area axially, in which noise-reducing damping rings are installed. Because the rim provides mounting space for noise-reducing damping rings axially on both sides of the connection area with the spoke assembly, noise-reducing damping rings can be installed to reduce noise, thereby improving the noise reduction capability of the spoked wheel.

The invention discloses a big data-based extended range generator load spectrum generation method, apparatus and device, and a storage medium, and relates to the technical field of vehicle engineering. The method comprises the following steps: remotely acquiring first big data and second big data of a plurality of extended-range generators through an OTA technology, and preprocessing the first big data and the second big data; determining various typical operation conditions according to the first big data and a preset threshold range; on the basis of the part damage model, the torque, the rotating speed and the part guarantee value of the typical operation conditions and a preset cycle number calculation model, calculating cycle test numbers of various typical operation conditions; determining target cooling water flow and temperature based on the distribution proportion of the cooling water flow and temperature; and generating the load spectrum of the extended range generator based on the cycle test times, the target cooling water parameters, the preset original load spectrum and the typical operation condition. According to the invention, accurate generation of the load spectrum of the extended range generator is realized through big data analysis, the test efficiency and reliability are improved, and the load spectrum better fits the actual use condition.

The invention belongs to the field of fault diagnosis in vehicle engineering, and relates to an automobile engine bearing fault diagnosis method based on multi-source heterogeneous data fusion, which is obtained by training a multi-source heterogeneous data training data set. The method comprises the steps of data acquisition and marking, construction of a multi-source heterogeneous data fused automobile engine bearing fault diagnosis model and set hyper-parameters, multi-head attention mechanisms in a Transform architecture are utilized to perform coupling noise reduction on multi-source heterogeneous data, meanwhile, a self-attention mechanism is utilized to pay attention to the part with the most serious noise in a sample, and the noise is reduced. And in cooperation with a SimAM mechanism, multi-source heterogeneous data coupling noise reduction and single-sensor information independent noise reduction are realized, and the noise reduction effect of the network is improved.

The invention discloses a holographic road surface state modeling and cloud sharing method and system based on an intelligent tire group, is suitable for feedforward control of an intelligent chassis of a vehicle, and belongs to the technical field of vehicle engineering.The method comprises the steps that an original signal output by an intelligent tire sensor, a vehicle motion state signal and a positioning signal are collected; calculating the collected data through a vehicle-mounted edge calculation unit to obtain road surface elevation value information, and uploading the road surface elevation value information to a cloud end; the cloud server receives and processes the data uploaded by the vehicle end, constructs a holographic road surface, responds to a request of the vehicle end, and issues corresponding road surface information; and the vehicle end sends a road surface demand, receives a road surface elevation value information data sequence issued by the cloud end, and assists the vehicle to carry out dynamic feed-forward control. The method provided by the invention can accurately collect road surface state information, break a single vehicle data island, realize road surface state information sharing, and assist the vehicle to carry out intelligent chassis feed-forward control.

The method is mainly applied to the technical field of vehicle engineering. The invention discloses a virtual calibration method, device and equipment based on a driving simulator and a medium. A virtual test environment is constructed through a vehicle model of a target vehicle, a virtual test scene model and a chassis electric control system model. And executing driving operation and acquiring test data by utilizing human-computer interaction of the driving simulator, and further evaluating the vehicle performance. And when the performance parameters do not reach the preset indexes, optimizing the parameters of the chassis electric control system model according to the manual adjustment instruction until all the parameters reach the standard. And after reaching the standard, further adjusting the parameters by combining the subjective quantitative indexes of the driver, and determining the optimal performance parameters. The scheme is carried out in a virtual environment, so that the risk of real testing is avoided, and the safety is ensured; scenes and parameters can be quickly switched, and the calibration efficiency is improved; various working conditions can be simulated, and comprehensive evaluation is realized; lots of real vehicles and sites are not needed, and the cost is reduced.

The invention discloses an intelligent energy management control method, device and equipment for an electric tractor and a medium thereof, and relates to the technical field of electric drive control in agricultural machinery and vehicle engineering. Planning a global energy demand based on a predicted load; dynamically optimizing control and distribution in real time; executing and coordinating control; by constructing a dynamic closed-loop control framework integrating feedforward prediction and real-time feedback, energy management of the electric tractor can be passively responded in real time, and through multi-source information fusion and intelligent prediction, the prediction result is creatively used as feedforward input in a real-time control layer and is combined with current running state feedback, so that the real-time control of the electric tractor is realized. The control system can smooth instantaneous power impact caused by soil mutation and topographic relief, and the service life of a core power component is remarkably prolonged; in addition, through the combination of pre-matching and dynamic fine adjustment, the operation endurance mileage of the whole vehicle and the economy of the whole life cycle are improved.

The invention relates to the technical field of vehicle engineering, and provides a vehicle NVH simulation report generation method, a storage medium and electronic equipment. The method comprises the steps of judging report types as processing dynamic stiffness, a vibration transfer function and a noise transfer function, post-processing simulation data according to the report types to obtain a text result and a curve graph, obtaining a target file, comparing simulation result data with a target value to generate a data table, and generating a simulation report in combination with a report template. And standard reaching condition evaluation, risk evaluation, standard reaching rate statistics and the like are realized. Wherein the vibration transfer function report and the noise transfer function report support a user to select or reject response points. Through automatic post-processing, target value comparison and template report generation, the problems that traditional manual processing is large in data size, disordered in format, difficult in chart generation and the like are solved, efficiency and accuracy are improved, a report containing a complete analysis conclusion is generated, and practicability is high.

The invention discloses an electric forklift gantry synchronous inclination system and an inclination system control method, and relates to the technical field of vehicle engineering and electrical control, and the method comprises the following steps: establishing a time-frequency phase-locked observation baseline, and calibrating an abnormal trigger window by collecting a pressure wave change track of the gantry synchronous inclination system under a reverse pressure bearing condition; generating a pressure wave characteristic fingerprint and a time delay matrix as dynamic references for resonance path identification; and according to the pressure wave characteristic fingerprints and the time delay matrix, inverting a hydraulic pipeline reflection topology, identifying a pressure energy concentration area, extracting a resonance source anchor point, constructing a wave energy distribution diagram, and forming a space positioning basis of the standing wave risk. According to the method, hydraulic standing wave risk modeling and boundary extraction are achieved through time-frequency observation and resonance path recognition, a standing wave damping structure is constructed in combination with the phase conjugate test and track shaping technology, steady-state damping and high-precision synchronous inclination control of the portal under reverse pressure bearing are achieved, and the system stability and operation safety are improved.

The invention discloses a vehicle fault prediction method, device and equipment and a storage medium, and relates to the technical field of vehicle engineering, and the method comprises the steps: carrying out the preprocessing of vehicle data reflecting the vehicle operation state, carrying out the working condition division of the obtained processed data through a target working condition recognition model, and obtaining a target working condition recognition model; determining corresponding time sequence features based on the processed data corresponding to the obtained working condition segments, performing weighted fusion on the time sequence features by using historical maintenance records of the vehicle, and screening obtained dynamic feature vectors based on a preset feature selection algorithm, training the initial vehicle fault prediction model by using the obtained target feature vector to obtain a target vehicle fault prediction model; and performing statistical analysis on the historical fault data of the vehicle, determining a fault threshold value based on an analysis result and the real-time operation state data of the vehicle, and determining a fault prediction result based on the to-be-detected vehicle data by using the target vehicle fault prediction model and the fault threshold value. And the accuracy of vehicle fault prediction is improved.

The invention discloses a trailer boundary dimension detection method based on unmanned container truck perception, and belongs to the technical field of automatic driving and vehicle engineering. In order to solve the problems of low manual correction efficiency and poor flexibility of external measurement equipment in the prior art, the invention provides the following scheme: acquiring three-dimensional point cloud information containing a vehicle through a vehicle-mounted laser radar, calculating a trailer rotation angle in real time by combining a high reflection intensity identifier, dynamically delimiting an interest region by using vehicle-mounted parameters, and filtering out a tractor point cloud; the remaining point clouds are distributed to a two-dimensional grid map, and candidate trailer point clouds are extracted through ground point cloud filtering and grid clustering analysis; finally, the maximum left width, the maximum right width, the maximum length and the maximum height of the trailer are calculated based on segmented time sequence checking, and the accurate boundary size is output. According to the method, manual intervention or external equipment support is not needed, real-time detection can be achieved under any trailer posture, and the safety and efficiency of unmanned container truck operation are effectively improved.

The invention relates to the technical field of vehicle engineering, and particularly discloses a load distribution optimization method and system for stake skeleton design, and the method comprises the steps: firstly building an initial three-dimensional design domain of a stake skeleton, and applying a composite dynamic load working condition obtained based on multi-body dynamics simulation; then, a material density distribution cloud picture is obtained through macroscopic topological optimization, a main force transmission path is recognized and extracted according to the cloud picture, and a design domain is divided into a core bearing area, a transition area and a non-key area; dot matrix structures with gradient material attributes are designed in the non-key area and the transition area according to stress states, and continuous changes of the material attributes are achieved by adjusting dot matrix types, arrangement directions and control parameters; and finally, carrying out performance verification and parameter iterative optimization on the overall structure comprising the core bearing area and the dot matrix filling area.

The present invention belongs to the field of vehicle engineering technology, and specifically relates to a method for optimizing the rollover index of a multi-axle special vehicle. Step 1: Establish a dynamic model of a multi-axle special vehicle, and test the established multi-axle whole vehicle dynamic model; Step 2: Based on the multi-axle special vehicle dynamic model established in step 1, further establish a rollover dynamic model of the multi-axle special vehicle, and establish a rollover evaluation index LTR for the rollover dynamic model; Step 3: Establish an optimization method for the LTR transient value and warning threshold of step 2. Trucksim is used to establish a dynamic model of a multi-axle special vehicle whose dynamic characteristics are highly consistent with those of the actual vehicle. The influence of the roll moment of the sprung mass and the unsprung mass on the vertical load difference of the wheels on both sides, as well as the influence of vehicle speed and road environment changes on the rollover warning threshold are comprehensively considered. The calculation of LTR and LTR threshold is optimized, thereby improving the rollover warning accuracy of the special vehicle anti-rollover control.

The invention discloses a vehicle abnormity identification method and device, equipment and a storage medium, and belongs to the field of vehicle engineering. The method comprises the following steps: acquiring vehicle data, wherein the vehicle data comprises periodically acquired indication information of timestamps, insulation resistance and vehicle states; according to the abnormal interval of the insulation resistance, abnormal data fragments are screened from the vehicle data; the insulation resistance in the abnormal data segment is located in the abnormal interval; determining a risk level of the vehicle according to the abnormal data fragment; the risk level is associated with the occurrence frequency of the abnormal data fragment; and according to the vehicle state and the risk level, generating warning information of vehicle insulation abnormity. The method can quickly and accurately diagnose the insulation fault of the vehicle.

The utility model relates to the technical field of vehicle engineering, and particularly discloses a front windshield sunshade curtain and a commercial vehicle, the front windshield sunshade curtain comprises a rolling assembly, a guiding assembly and a supporting assembly, the rolling assembly is provided with a rolling shaft, the rolling shaft is used for rolling or unfolding sunshade cloth, the guiding assembly comprises a guiding rod and a sliding block, and the supporting assembly is used for supporting the guiding rod. The sliding block is fixedly connected to the side edge of the sunshade cloth, the guide rod is parallel to the windshield glass and extends in the vertical direction of the windshield glass, one end of the supporting assembly is connected to the rolling assembly, the other end of the supporting assembly is connected to the lower edge of the sunshade cloth, and the supporting assembly is attached to the sunshade cloth and can be folded along with rolling of the sunshade cloth. Or the sunshade cloth can be unfolded along with the unfolding of the sunshade cloth. When the sunshade cloth is unfolded, the supporting assemblies stretch along with unfolding of the sunshade cloth to provide reliable supporting for the sunshade cloth, the swing amplitude and frequency of the sunshade cloth in the vehicle driving process are greatly reduced, then the influence on the view of a driver is reduced, and driving safety is improved.

The invention discloses an electromagnetic valve control method and device for a piston cooling nozzle, equipment, a medium and a product, and relates to the technical field of vehicle engineering.The electromagnetic valve control method comprises the steps that according to the current operation working condition of a target engine, the target driving current value of a target electromagnetic valve corresponding to a target piston cooling nozzle is determined, and the actual driving current value of the target electromagnetic valve is determined; wherein the target piston cooling nozzle is arranged in the target engine; and according to the target driving current value and the actual driving current value, the target current duty ratio corresponding to the target electromagnetic valve is determined, and the target electromagnetic valve is controlled to operate according to the target current duty ratio. The target current duty ratio of the target electromagnetic valve is calculated and controlled in real time, so that the target electromagnetic valve is powered on only in a necessary time period and powered off in other time periods, the working power of the target electromagnetic valve can be effectively reduced, the problem that the electromagnetic valve is damaged due to too large working power is avoided, and the service life of the electromagnetic valve is prolonged. And the operation stability and reliability of the piston cooling nozzle are improved.

The invention relates to the technical field of vehicle engineering, and discloses a vehicle-mounted magneto-rheological active suspension damping matching control system which comprises a sensing module, a central control module, a magneto-rheological execution module and a power supply module. The signal output end of the central control module is electrically connected with the signal input end of the magneto-rheological execution module, and the power supply module is electrically connected with the sensing module, the central control module and the magneto-rheological execution module and provides working electric energy. All-dimensional parameters such as road surface states, vehicle body postures and vehicle operation are collected through the multi-source sensing module, signal interference and measurement errors are eliminated through weighted fusion processing of the central control module, and accurate decision of damping adjustment is achieved in combination with a pre-stored damping matching strategy library and a self-adaptive learning algorithm. And in cooperation with the stepless regulation characteristic of the magneto-rheological execution module, the driving state change can be followed in real time to dynamically optimize the damping force.

The invention belongs to the technical field of rail vehicle engineering, and discloses a simulation calculation method for accurately calculating train dynamic curve passing, which comprises the following steps of: establishing a longitudinal-transverse-vertical interaction heavy haul train-rail three-dimensional coupling dynamics refined model; nonlinear links (such as axle box suspension nonlinearity, center plate contact nonlinearity, wedge friction nonlinearity, coupler gap impact effect and dry friction nonlinearity, buffer nonlinear hysteresis impedance and the like) of locomotive suspension and the multi-parameter continuous change characteristic of a curve track are fully considered. If the coupler is used as an independent rigid part for modeling, analyzing the actual coupling and vibration characteristics of the coupler; in combination with the gas flow theory, an air braking model is further improved, and the influence of a train marshalling form on braking wave distribution and braking wave transmission, the influence of distribution of braking force and brake shoe pressure in the braking process on the vehicle wheel-rail power effect and the like can be considered.

The utility model discloses a converter system, and relates to the technical field of vehicle engineering. The converter system comprises a converter body formed by cascading a plurality of same basic power subunits, the input end of the converter body is used for being directly connected with a single-phase traction network, and the output end of the converter body is used for independently driving a plurality of traction motors. The output end of the converter body is provided with a three-phase output filter capacitor. According to the converter system, the basic power subunits are cascaded to form the converter main body, so that the current-carrying capability and the voltage endurance capability can be improved; and the output end of the converter main body is provided with a three-phase output filter capacitor, so that when the transformer main body outputs voltage to drive the traction motor, the torque ripple and electromagnetic noise of the traction motor can be reduced.

The invention provides a vehicle braking torque calibration method based on EMB, and relates to the technical field of vehicle engineering. Motor rotation angle-braking torque curves under different constant experiment currents are obtained in a laboratory, and a basic torque lookup table is constructed; a driving correction coefficient is generated in combination with slip rate deviation calculated in real time in the vehicle driving process, meanwhile, brake torque correction amounts of VDC, ABS and TCS systems for wheels and a whole vehicle target brake torque are integrated to generate an internal correction coefficient, finally, a dynamic correction coefficient is formed through fusion, basic current is corrected in real time, and the braking torque correction amount of the whole vehicle is calculated in real time. Therefore, accurate and self-adaptive calibration of the braking torque of each wheel is realized, and the braking safety and stability of the vehicle under complex working conditions are effectively improved.

The utility model discloses a braking system and a vehicle with the same, and relates to the field of vehicle engineering. The braking system comprises a valve body, the valve body is provided with an oil passing channel, one end of the oil passing channel is an assembling opening, and the inner circumferential face of the oil passing channel comprises a step face facing the assembling opening; the liquid storage tank is provided with an oil outlet connector, and the oil outlet connector is located in the assembly opening; the filtering piece is located in the oil passing channel and arranged between the step face and the oil outlet connector, the filtering piece comprises a retaining ring, the retaining ring is annular, and the outer circumferential face of the retaining ring makes contact with the inner circumferential face of the oil passing channel for sealing; the filter screen is arranged on the retaining ring; the first supporting column is connected to the side, facing the assembling opening, of the retaining ring so as to abut against the oil outlet connector in the shaking process. The brake system is high in filtering reliability, and the service life of the brake system can be guaranteed.