1216 results about "Active suspension" patented technology

The invention relates to the technical field of vehicle dynamics control, and discloses a vehicle control method and system for a double-closed-loop adjustable magneto-rheological semi-active suspension, and the method comprises the steps: S1, obtaining the state information of a vehicle based on a sensor, building a vibration control model, and calculating and outputting the expected damping force of vibration control; s2, establishing a vehicle body attitude control model, and calculating and outputting vehicle body attitude control expected damping force; s3, calculating the expected damping force obtained in the step S1 and the expected damping force obtained in the step S2 to obtain the total expected damping force; and S4, according to the total expected damping force, the relative speed of the wheels and the vehicle body and the dynamic deflection information of the suspension, a suspension inverse model is established, and expected current is output. According to the method, the control system is optimized by combining the design parameters of the shock absorber and the test parameters of the real vehicle, the current loop adjustment is designed on the basis of the damping loop control, and the tracking compensation control of the current is mainly realized, so that the response speed and the accuracy of the control are improved, and the performance of the magneto-rheological semi-active suspension is further improved.

The invention relates to the technical field of forklift driving stability control, in particular to a forklift driving stability control system based on ultrasonic and laser composite ranging, which comprises a composite ranging module, a multi-modal data fusion module, a stability prediction and control module, an execution mechanism control module and an online learning system. The composite distance measuring module collects surrounding environment information and corrects motion errors through a dynamic compensation algorithm; the multi-modal data fusion module dynamically adjusts the weight of the sensor based on an environmental interference factor, and realizes space-time calibration in combination with extended Kalman filtering; the stability prediction and control module is fused with the vehicle dynamic characteristics to predict the rollover risk and generate a hierarchical control instruction; the actuating mechanism control module drives actuating components such as an active suspension and an electronic differential mechanism through a layered framework. The method can adapt to complex working conditions, the prediction precision and fault-tolerant capability are improved, safety and efficiency are balanced, the maintenance cost is reduced, and the method is suitable for various forklifts.

The invention discloses a sliding-mode adaptive vehicle roll stability control method based on deep reinforcement learning, which is applied to an active suspension vehicle and comprises the following steps: establishing a six-degree-of-freedom steering-roll vehicle dynamics model by combining a Doguff tire model, and calculating a target vehicle body roll angle based on a reverse roll mechanism. A sliding mode controller comprising a linear sliding mode surface and an exponential approaching rate is designed, an intelligent agent based on a soft behavior strategy gradient algorithm (SAC) is constructed, and the intelligent agent adaptively outputs optimal sliding mode parameters by sensing the vehicle state and the roll angle tracking condition. And finally, the sliding mode controller combines the optimal sliding mode parameters and the vehicle state to calculate the active roll-over moment and distributes the active roll-over moment to the main power of the left and right side suspensions, so that the precise regulation and control of the vehicle body posture are realized. According to the method, the roll stability domain during high-speed steering can be remarkably expanded, the lateral sensing acceleration of passengers is reduced, the high-robustness tracking effect is kept under complex disturbance, and meanwhile sliding mode buffeting is restrained.

The invention discloses a control method, device and equipment of a semi-active suspension and a storage medium, and relates to the technical field of vehicle engineering.The control method of the semi-active suspension comprises the steps that under the condition that a vehicle-mounted system does not have a fault, driving modes are distinguished according to a mode selection signal, and a current driving mode is obtained; when the current driving mode is not the deceleration strip mode, determining a target control strategy according to the current driving mode; and controlling the semi-active suspension according to the target control strategy. The vehicle suspension system can be adjusted according to different driving requirements and road conditions, more excellent driving feeling and safety are provided, a driver can switch between a comfortable driving mode and a motion driving mode through an accurate control strategy, meanwhile, better vehicle stability and control performance are obtained under different road conditions, and the driving experience of the driver is improved. The smoothness of the vehicle and the road adhesiveness are improved, and the overall driving comfort and safety are improved.

The present disclosure includes: a carrier member on which an occupant sits or lies; an active suspension disposed between the carrier member and a vehicle body; a state detection device configured to detect state information that is information on current or future acceleration applied to the carrier member; a controller configured to control the active suspension based on the state information to change a carrier attitude; and an occupant information acquisition device configured to acquire occupant information that is information on an abnormality of a body of an occupant on the carrier member / The controller is configured to correct a controlled variable of the carrier attitude by the active suspension based on the state information and the occupant information.

The present invention discloses an intelligent self-powered active suspension with multi-level adjustable height in the automotive field and a working method thereof. The rod ends of the cylinder rod extending into the oil cylinder are all guide ends composed of a guide, a screw and a nut. There is no seal between the outer wall of the guide and the inner wall of the oil cylinder. The screw and the cylinder rod are provided with oil guide grooves that penetrate the rodless cavity and the rod cavity, and there is no need to consider the sealing problem. A non-closed working oil circuit is adopted, and a suspension height adjustment device comprises a first and a second height adjustment oil and gas cylinders with unequal volumes. The first height adjustment oil and gas cylinder, a third solenoid valve, a high-pressure gas storage tank, a first non-return valve, an electric air compressor unit and a low-pressure gas storage tank are connected in series in sequence, and energy can be pre-stored in advance. Four-speed height control is achieved by two parallel-connected height adjustment oil and gas cylinders with different volumes, so that the vehicle body can be at a low height when the vehicle is driving at high speed, at a normal height when the vehicle body is in urban conditions, and at a height when the vehicle body is driving on bumpy roads. The vehicle body can also be rescued from a pit when the wheel is stuck in it.

The invention relates to the technical field of automobiles, in particular to an automobile full-active suspension system which comprises a shock absorber assembly, an external electromagnetic valve assembly and a two-way hydraulic pump, the shock absorber assembly comprises a piston rod, a first hydraulic cavity and a second hydraulic cavity, and the piston rod is arranged in the first hydraulic cavity; the external electromagnetic valve assembly comprises a valve block, a compression electromagnetic valve and a recovery electromagnetic valve, a first flow channel and a second flow channel which penetrate through the two opposite ends of the valve block are formed in the valve block, and the compression electromagnetic valve and the recovery electromagnetic valve are arranged on the valve block and can communicate with the first flow channel and the second flow channel correspondingly. The first ends of the first flow channel and the second flow channel are respectively communicated with an oil inlet and an oil return port of the bidirectional hydraulic pump, and the second ends of the first flow channel and the second flow channel are respectively communicated with the first hydraulic cavity and the second hydraulic cavity; the compression electromagnetic valve and the recovery electromagnetic valve are integrated on the valve block, and damping adjustment of the external electromagnetic valve assembly on the shock absorber is not affected, so that the installation position of the external electromagnetic valve assembly is not limited, and the external electromagnetic valve assembly is flexibly arranged.

The invention discloses a drive-by-wire chassis electric vehicle hardware-in-the-loop simulation test bench and a power chassis domain integrated control architecture thereof. The test bench comprises a driving simulation system, an electric drive system, a drive-by-wire brake system, a drive-by-wire steering system, an active suspension system, a power chassis domain integrated control system, a vehicle real-time simulation system and a bench measurement and control system. And the power chassis domain integrated control system receives a driver instruction, road environment and vehicle model information and response information of each execution system of the power chassis and the load simulation device of the execution system to complete decision-making instruction sending. The power chassis domain integrated control system adopts a hierarchical control architecture and comprises a vehicle motion stability judgment layer, a vehicle motion integrated control layer and an actuator and load control layer thereof. The system is used for testing and verifying control algorithms of various movement modes such as transverse and longitudinal movement modes, transverse and vertical movement modes and transverse, longitudinal and vertical movement modes of the drive-by-wire chassis intelligent electric vehicle, and has the characteristics of complete drive-by-wire chassis functions, high power chassis domain fusion degree, wide test coverage and the like.

Active suspension actuator systems including an actuator with a compression volume and an extension volume are described. In some embodiments, the system includes one or more flow control devices in fluid communication with the compression volume and / or the extension volume of the actuator. In some instances, a flow control device may include a pressure balanced blow-off valve (PBOV). In some embodiments, the system includes a high capacity bidirectional base valve. In some embodiments, two or more flow control devices cooperate to, for example, damp low amplitude oscillations in the extension and / or compression volumes, and to allow the build-up of pump generated differential pressures while discharging rapid road induced differential pressure spikes between the extension and compression volumes.

The invention provides a vehicle motion control system, a pitching control unit and a control method. The pitch control unit includes: a detection module configured to detect whether a requested braking level is greater than a braking threshold level; a first calculation module configured to calculate an actual pitching state and a target pitching state of the vehicle when the detection result is positive; the second calculation module is configured to calculate a first pitching moment by adopting a feedforward control algorithm and calculate a second pitching moment by adopting a feedback control algorithm; and the third calculation module is configured to calculate a plurality of adjusting forces according to the first pitching moment and the second pitching moment, and the adjusting forces are respectively used for adjusting forces generated by actuators, coupled with the wheels, of the full-active suspension system, so that the actual pitching state of the vehicle is close to the target pitching state as much as possible or consistent with the target pitching state as much as possible.

The invention belongs to the technical field of active suspension control, and particularly relates to an active suspension control method and system based on Skhook-ADRC-FFORC. According to the method, key parameters are obtained by establishing a 1 / 4 vehicle suspension dynamical model, a state space model is constructed, active disturbance suppression control is introduced on the basis, and the stability of the vehicle suspension is improved. Real-time estimation and compensation of vehicle body displacement and total disturbance of a system are realized, fractional order sliding mode control is combined, a fractional order sliding mode surface is constructed by using a Caputo operator, high robustness and smoothness are considered, the buffeting problem of a traditional sliding mode is suppressed, and finally, the high-frequency vibration isolation advantage of Skyhook control and the anti-interference capability of ADRC-FFORC are subjected to weighted fusion. The problems that in the prior art, model simplification and control distortion are caused, and a single strategy cannot give consideration to multi-target performance are solved, and by fusing ADRC, FOSMC and Skyhook control and realizing adaptive weighted switching, the robustness, smoothness and real-time performance of the active suspension under complex working conditions are effectively improved, so that collaborative optimization of vehicle comfort and safety is realized.

A wheel action-based active suspension damping adjustment apparatus recognizes wheel actions through a steering apparatus, distance measuring apparatuses and force sensors and calculates an action damping magnitude according to damping parameters determined by different wheel actions, thereby achieving optimal adjustment under different actions. The changes in an inclination angle of a vehicle cabin floor and a vertical acceleration are monitored by using an inclination angle sensor and acceleration sensors, and meanwhile, an inclination angle damping and an acceleration damping are determined according to exceeding amplitudes, and a total damping of active suspensions is fed back and corrected, thereby further enhancing an adjustment and control effect of the active suspensions. According to the method, basic damping, action damping, inclination angle damping and acceleration damping data is output and recorded, and classified according to a vehicle state and the wheel actions, data changes under a same classification are compared.

The invention discloses an energy recovery full-active suspension control method based on deep reinforcement learning. The method comprises the following steps: 1, constructing an energy recovery full-active suspension simulation model and a simulation pavement model; 2, constructing a state quantity and an action quantity, and processing the action quantity to control suspension output control force; 3, designing a reward function; and 4, constructing a strategy-evaluation network, and training a neural network based on a PPO algorithm so as to dynamically generate a suspension control strategy. By optimizing the dynamic response of the suspension system, the performance of the vehicle on various road surfaces and under various driving conditions can be improved, so that collaborative optimization of energy recovery and suspension performance can be realized, and multiple requirements of the intelligent vehicle on comfort, safety and energy efficiency can be met.

The invention provides a semi-active suspension vibration control method and system based on preview fusion and game decision, and the method comprises the following steps: obtaining pavement preview information through a forward sensor, carrying out the signal processing, and generating a future pavement preview sequence in real time; establishing a two-degree-of-freedom 1 / 4 whole vehicle vertical dynamical model; under a model prediction control framework, participants of a non-cooperative Nash game model are defined, a corresponding cost function is designed, a damping coefficient is discretized by adopting mixed integer programming, Nash equilibrium is solved by adopting a branch and bound method, and an optimal damping coefficient is obtained; mapping the optimal damping coefficient into optimal damping force meeting constraint conditions; hysteresis force compensation is conducted through a hysteresis model, and target control current is obtained through damping force obtained after hysteresis compensation according to the mapping relation between the damping force of the magnetorheological damper and the control current; and outputting the target damping force according to the instruction of the target control current. According to the invention, autonomous balance adjustment of multiple control targets is realized.

The utility model relates to an actuator, an active suspension and a vehicle, the actuator comprises a driving module, and at least part of the driving module is used for being connected with a vehicle body; the motion conversion assembly comprises a rotary motion module and a linear motion module, and the rotary motion module is driven by the driving module so as to drive the linear motion module to drive the wheels to do linear motion in the height direction; and the first limiting and buffering structure is arranged on the motion trail of the motion conversion assembly or the linear motion module of the driving module and used for limiting and buffering the upward jumping stroke of the wheels. The driving module drives the linear motion module to rotate, the rotary motion module drives the wheels to do linear motion in the height direction, and height adjustment of the whole vehicle is achieved. When the linear motion module drives the wheel to move upwards, the first limiting and buffering structure can play a role in limiting and buffering the upward movement, and the damage to related parts and rigid collision between the parts caused by excessive upward movement of the wheel are prevented.

The utility model provides an integrated electric pump set applied to a vehicle chassis active suspension, which comprises a shell component, a controller, a first hydraulic pump, a first motor, a second motor and a second hydraulic pump, the first hydraulic pump, the first motor, the second motor and the second hydraulic pump are axially arranged, the shell component comprises two motor shells, a controller shell and a connecting mechanism, and the two motors are respectively arranged in the two motor shells. The controller is installed in the controller shell, and the two hydraulic pumps are connected with motor shafts of the two motors respectively. The two motor shells are in axial butt joint, at least one group of bolt holes perpendicular to the axial direction are formed in the butt joint position, the connecting mechanism comprises at least one group of connecting assemblies, each connecting assembly comprises a connecting plate and a group of connecting bolts, through holes are formed in the two ends of each connecting plate, and the connecting bolts are matched with the bolt holes; the controller shell is connected to the upper sides of the two motor shells through bolts. According to the integrated electric pump set, the installation occupied space of the electric pump set assembly can be reduced, the structural design is optimized, and the disassembly difficulty can be reduced.

The invention relates to the technical field of automobile suspension control, in particular to a control compensation method, medium and equipment based on the high-frequency hysteresis characteristic of an active suspension, and the method comprises the steps: collecting the dynamic state data of a vehicle in real time, carrying out the working condition recognition of the dynamic state data, and determining the control demand of the active suspension of the vehicle under the current working condition; establishing an active suspension model, and determining an execution boundary of an active suspension; based on the control requirement, a control strategy of the active suspension is obtained in combination with the active suspension model and hysteresis characteristics thereof, and it is ensured that the active suspension meets the execution boundary; based on the control strategy, performing multiple experiments on the active suspension model to obtain corresponding performance indexes; and based on the performance indexes, optimizing the control strategy until the active suspension reaches the optimal control performance, and obtaining the optimal control strategy. According to the method, the response hysteresis and the amplitude-frequency attenuation of the active suspension are considered in the control requirement, the active suspension is compensated, and the execution potential of an actuator of the active suspension is fully exerted.

The invention provides a suspension control method and device, a vehicle and a storage medium. According to the embodiment of the invention, a first wheel rotating speed of the vehicle is obtained through a wheel speed sensor, and a first vehicle body vertical speed of the vehicle is obtained through a sprung sensor; according to the first wheel rotating speed and the first vehicle body vertical speed, a control current corresponding to a shock absorber is determined; and generating a current signal corresponding to the control current, and sending the current signal to a shock absorber, so that the shock absorber performs shock absorption control on the active suspension according to the current signal. The suspension control method provided by the embodiment of the invention does not depend on an unsprung sensor, so that the cost of the sensor in the embodiment of the invention is reduced, the problem of control strategy failure caused by the delay of the shock absorber under the condition that the unsprung speed frequency is too high is avoided, and the reliability of the embodiment of the invention is improved.

The invention relates to a cooperative control method for smooth pit-passing braking of a vehicle. The cooperative control method comprises the following steps that geometric data of a road surface pit and initial time data of predicted contact between a target wheel and the front edge of the pit are obtained through a preview sensing system; when the geometric data and the initial time data meet a preset triggering condition, triggering a suspension position control mode of the target wheel: acquiring target height data of a suspension, and generating a movement track of an active suspension of the target wheel from the current height data to the target height data; controlling an active suspension actuator to track the motion trail; and responding to the condition that the active suspension actuator reaches the preset supporting state. According to the method, traditional passive impact bearing is converted into active impact avoiding and buffering, so that collision energy between the wheels and the pothole edge is greatly absorbed, vertical bumping and pitching shaking of a vehicle body under the condition that a single wheel passes through a pit are effectively restrained, and unprecedented stable and comfortable braking experience is provided for passengers.

The invention relates to the technical field of hybrid electric vehicle active suspension control, in particular to a hybrid electric vehicle active suspension control method under the road surface and switching excitation coupling effect. The road dynamic information rapid preview comprises the steps of excitation and vehicle response characteristic mapping quantity definition, binocular 3D visual identification discrete impact excitation, random road surface grade identification, continuous spectrum construction and rapid reconstruction of road time domain excitation in combination with a transformation method. According to the method, the optimal vehicle dynamic response characteristic quantity is selected through an improved distance evaluation technology, an intelligent algorithm is provided on this basis to realize accurate identification of road surface discrete impact and random road surface grades, road surface time domain excitation can be rapidly constructed in combination with a transformation method, and accurate information is provided for subsequent control input in real time.

The electromagnetic active suspension is used for being connected between a vehicle body and wheels of a motor vehicle and is characterized in that the electromagnetic active suspension comprises an electromagnetic actuator and a magnetorheological damper, the electromagnetic actuator is a linear motor, and the linear motor comprises a permanent magnet cylinder, a primary winding and a bearing connected with the permanent magnet cylinder and the primary winding; the magneto-rheological damper and the linear motor are integrated in the same suspension assembly, the electromagnetic actuator and the magneto-rheological damper are integrated in the same suspension assembly, the integration level of the electromagnetic active suspension is greatly improved, the linear motor is adopted as a main power source, and structure compactness and function collaboration are achieved. The direct driving mode of the linear motor abandons a complex pipeline of a traditional hydraulic system, mechanical inertia is reduced, and the response frequency is greatly improved and far exceeds the upper limit of a hydraulic suspension. The invention further discloses a vehicle which adopts the electromagnetic active suspension, the adaptability of the vehicle under extreme working conditions such as cross-country and racing tracks can be improved, and the optimal balance between control and comfort is achieved.

The invention provides a transmission device and an actuating system. The transmission device comprises two transmission components and a coupling component arranged between the two transmission components. One of the two transmission components is in transmission connection with the force generating mechanism and is used for receiving the torque output by the force generating mechanism; and the other one is in transmission connection with the force output torsion bar and is used for outputting torque to the force output torsion bar. The coupling component is arranged between the two transmission components and used for achieving force transmission between the two transmission components. The active suspension can be applied to intelligent vehicles or electric vehicles, and the frequency response performance of the active suspension can be improved.

The invention discloses an automobile semi-active suspension PID parameter adaptive adjustment and vibration control method and system based on reinforcement learning, and the method mainly comprises the following working steps: 1, constructing a reinforcement learning environment comprising a suspension dynamics high-fidelity simulation model and a PID controller; 2, defining a state space including a vehicle body vertical acceleration error e (t), an error integral term summa e (t) dt, an error differential term de (t) / dt, a suspension dynamic stroke zdef (t), a driving vehicle speed v (t) and road surface unevenness estimation xi (t); and 3, defining an action space including a proportion coefficient increment delta Kp, an integral coefficient increment delta Ki, a differential coefficient increment delta Kd and an output compensation amount delta e (t) of the PID controller. According to the method, the problem that the suspension performance is reduced due to the fact that control parameters of a traditional PID control method are fixed under the non-linear and time-varying working conditions is solved, and the riding comfort and the handling stability of the vehicle are remarkably improved.

The invention discloses a truck control system and method, and belongs to the technical field of vehicle control, and the system comprises a slope recognition module, an attitude prediction module, a control decision module and an execution module. The gradient recognition module is used for acquiring gradient information and gradient change point positions of a road in front of the truck in real time; the attitude prediction module is connected with the slope recognition module, and predicts the pitch angle change trend when the truck passes through the uphill and downhill turning position based on the slope information; the control decision module is connected with the attitude prediction module and is used for generating a dynamic load distribution instruction and a driving / braking compensation instruction according to the change trend of the pitch angle; and the execution module is connected with the control decision module, comprises an engine controller, a brake controller and an active suspension controller, and is used for executing dynamic load distribution and driving / braking compensation. According to the invention, the attitude change of the wave road turning point can be predicted in advance, and the dynamic stability maintenance of the truck is realized by cooperatively controlling the suspension, the power and the braking system.

The invention is suitable for the technical field of vehicle intelligent control, and provides a data-driven semi-active suspension damping self-adaptive calibration method, which comprises the following steps of: firstly, acquiring and preprocessing real vehicle state data, and then designing a semi-active suspension damping self-adaptive calibration network based on deep Q network reinforcement learning, the method comprises the following steps: constructing a composite reward function architecture fused with Bayesian optimization to optimize vehicle performance indexes, then carrying out network training, finally determining a damping coefficient by using a reinforcement learning algorithm based on a deep Q network, controlling a magneto-rheological damper, and evaluating an action effect through real vehicle reward. According to the method, data driving and deep Q network reinforcement learning are combined, real vehicle data are collected and utilized to determine the suspension damping coefficient, and rapid calibration and online iteration are achieved; the generalization performance of reinforcement learning enables the intelligent vehicle to adapt to most typical working conditions after being fully trained, solves the problem of traditional calibration, improves the self-adaptive calibration capability of the suspension, and gives consideration to the smoothness and operation stability of the vehicle.

The invention relates to an active suspension control method and device of a corner module vehicle, computer equipment and a readable storage medium. The method comprises the following steps: acquiring vehicle state parameters and attribute information; according to the vehicle state parameters, the attribute information and preset anti-rollover constraints, the anti-rollover moment and the suspension total active force in the current vehicle state are determined; distributing the control force corresponding to each suspension based on a preset optimization target, the anti-rollover moment and the total active force of the suspension to obtain a target control force corresponding to each suspension; the target control force is used for performing active suspension control on each suspension. By adopting the method, the accuracy of anti-rollover control can be improved, and the safety of the angle module vehicle is improved.

A method for adapting a transfer function of an active suspension of a vehicle comprises the vehicle driving along a section of road for which a surface profile is stored in a control unit of the vehicle. The active suspension is activated according to a predetermined transfer function for adaptation to the surface profile by means of adjustment values in order to compensate for unevenness of the surface profile. A shock absorber sensor system and / or a tire sensor system of the vehicle is used to record vertical accelerations while driving along the section of road and transfer them to the control unit. The invention provides that the adjustment values and the vertical accelerations are transferred by the vehicle to an external central computer.

The invention provides a method for controlling a full-active suspension system and a vehicle, the method is applied to the field of vehicle suspension control, and the method comprises the steps that a target suspension adjusting device of the vehicle is determined according to state parameters of the vehicle and / or environment parameters of the position where the vehicle is located, and the target suspension adjusting device comprises an electric hydraulic device or a damping device; the environment parameters are used for representing the environment state of the position of the vehicle, and the state parameters are used for representing the running state of the vehicle; according to the state parameters, target working parameters of the target suspension adjusting device are determined; and controlling the target suspension adjusting device to operate according to the target working parameters. According to the method, in the running process of the vehicle, work of the electro-hydraulic pump and work of the shock absorber can be decoupled, the electro-hydraulic pump is not controlled to be continuously started when the suspension is adjusted, the starting time of the electro-hydraulic pump is determined according to the state of the vehicle and the environment of the current position, and the vehicle can adapt to and meet the suspension adjusting requirements under different working conditions.

The invention discloses a hydraulic active suspension system with a multi-mode switching function and a control method of the hydraulic active suspension system. The hydraulic active suspension system comprises a sensing module, a control module and a hydraulic suspension module. The sensing module is used for sensing road condition information and a vehicle state; the control module is used for working condition identification, working mode selection and hydraulic suspension module control; the hydraulic suspension module comprises a left front single-wheel suspension system, a left rear single-wheel suspension system, a right front single-wheel suspension system and a right rear single-wheel suspension system, the hydraulic suspension module achieves rapid switching of all the single-wheel suspension systems among a semi-active mode, a slow mode, a rapid mode, a pressurizing mode and a power generation mode through a mode switching valve, and mode switching of all the single-wheel suspension systems can be independently controlled. And the hydraulic suspension module has more flexible and diversified mode combinations. According to the technical scheme, the mode switching of the active suspension is controlled, the problem that an existing active suspension is single in mode and difficult to adapt to complex and changeable road conditions is solved, and the comprehensive performance of an active suspension system is improved.

The utility model relates to an electric control valve, an air spring, an active suspension and a vehicle. The electric control valve comprises a shell, a transmission terminal and a sealing seat, and the transmission terminal is located at the axial end of the shell; the sealing seat is arranged at one end, close to the transmission terminal, of the shell, and the sealing seat is in sealing connection with the transmission terminal and the shell. According to the electric control valve, the sealing seat is connected with the transmission terminal and the shell in the sealed mode so that the interior of the shell can be isolated from the outside, it can be prevented that outside impurities or water invades and influences normal work of important components such as a coil in the shell, the sealing performance of the electric control valve is improved, and the electric control valve has higher reliability.