598 results about "Active suspension" patented technology

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 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.

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 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 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 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.

The invention belongs to the technical field of semi-active suspension control methods, and relates to a semi-active suspension control method based on an improved multi-objective particle swarm optimization (MOPSO) algorithm, which comprises the following steps of: performing adaptive grid division on an external file of the MOPSO algorithm to determine global optimum with the most diversity and global optimum with the most convergence; judging the evolution state of the population according to the distribution entropy variation of all optimal solutions in an external file, and selecting a global optimal gBest for guiding evolution; according to the variable quantity of the local crowding distance of the current population evolution, adjusting flight parameters of population evolution to balance the evolution trend of the population; and fusing the two core mechanisms, providing a multi-information fusion multi-target particle swarm optimization algorithm, and applying the multi-information fusion multi-target particle swarm optimization algorithm to determination of a semi-active suspension LQR control strategy weight coefficient. According to the novel multi-objective optimization algorithm, external archive information and current population dynamic information are cooperatively integrated, so that balance between convergence precision and population diversity is effectively realized.

The present disclosure includes an active suspension having an actuator disposed between a carrier member and a vehicle body, a state detection device that detects state information that is information about a current or future acceleration applied to the carrier member, a controller that supplies a control current to the actuator such that, when the up-down direction position of the carrier member is not a preset zero point, the up-down direction position of the carrier member becomes a zero point, and a traveling detection device that detects traveling information that is information about travel of the vehicle, and the controller executes a zero point change processing of changing the zero point based on the traveling information and the state information.

The invention discloses an RBF neural network active suspension control method and system for complex road conditions. The method comprises the steps that vehicle body motion information is obtained in real time; the RBF neural network self-adaptive controller adjusts internal control parameters of the RBF neural network self-adaptive controller in an online self-adaptive mode based on the deviation between the vehicle body motion information and the expected stable state, and outputs an adjusting instruction used for adjusting a supporting mechanism; and according to an adjusting instruction output by the RBF neural network self-adaptive controller, the supporting mechanism is driven to do telescopic motion so as to adjust the vertical, pitching and side-tipping postures of the carrying trolley. By introducing the RBF neural network adaptive control algorithm, real-time sensing and intelligent processing of the vehicle body motion information are realized, and the control parameters of the suspension system can be dynamically adjusted according to the complex road condition, so that the stability and safety of the carrying trolley under the complex road condition are effectively improved, the risk of damage to instruments and equipment is remarkably reduced, and the service life of the carrying trolley is prolonged. The transportation efficiency is improved.

The invention relates to the technical field of vehicle-mounted visual perception, in particular to a camera active anti-shake cooling system based on a magnetorheological fluid medium and a control method. The heat dissipation system comprises a camera module, at least three independent pipelines which are arranged around the camera module and are hollow inside, a hydraulic driving unit, at least one electromagnetic coil which is arranged on the outer wall of the independent pipeline and is used for generating a controllable magnetic field, and a controller, the controller is used for cooperatively controlling the liquid pressure in the pipeline and the magnetic field intensity acting on the magnetorheological fluid according to the vehicle state information and / or the posture information of the camera module so as to achieve active anti-shake and heat dissipation of the camera module. The pressure of the cooling liquid in the pipeline is adjusted to support the camera and change the electromagnetic force between the magnetic fluid and the coil by changing the magnetic field intensity, and lens shaking is reduced in cooperation with a vehicle body active shock absorption system.

The invention discloses a vehicle full-temporal cooperative control method and system based on multi-source sensing data fusion, and belongs to the field of vehicle control. Comprising the following steps that S1, vertical pressure signals, yaw velocity, vehicle three-axis acceleration, vertical acceleration generated by road excitation, front obstacle distance and relative velocity and front road images of all suspensions are synchronously collected, and multi-source sensing data are formed; s2, fusing the preprocessed multi-source sensing data of the same timestamp, determining the real-time three-dimensional gravity center, the vehicle body attitude angle and the real-time road surface state of the vehicle, and obtaining the predicted road surface state based on the historical multi-source sensing data; and S3, cooperatively controlling braking force distribution, steer-by-wire and an active suspension. According to the vehicle full-temporal cooperative control method and system based on multi-source sensing data fusion, through fusion of the multi-source sensing data, full-dimensional coverage of vehicle state-road environment-obstacle information is achieved, and it is ensured that the sensing result is stable and reliable.

The invention is suitable for the technical field of vehicle dynamics modeling and control, and provides a preview active suspension stiffness control method based on road surface grading and MAP mapping, and the method comprises the steps: collecting a road image through a vehicle-mounted visual sensor, dividing regions, and recognizing the road surface unevenness grade of each region through a convolutional neural network; obtaining the vehicle speed; and according to the current pavement grade and the vehicle speed, a vehicle speed-pavement grade-rigidity mapping MAP table generated in advance is inquired, and the target suspension rigidity is rapidly obtained and adjusted. According to the invention, the dependence on a high-precision sensor and a high-computing-power processor is reduced, and low-cost and fast-response rigidity optimization control of the preview active suspension is realized.

The invention provides a control method, device and equipment of an active suspension system, a vehicle and a medium. The method comprises the steps that in the running process of the vehicle, the request acting force of the active suspension system is determined based on a vehicle state signal, and the suspension rigidity force generated by suspension hardware in the active suspension system is determined; and according to the deviation between the request acting force and the suspension rigidity force, target acting force needing to be output by the active suspension system is determined, and according to the target acting force, the rotating speed of a motor used for driving a hydraulic pump in the active suspension system is controlled, and the driving current of an electromagnetic valve used for adjusting the oil flow in a hydraulic cavity of the shock absorber is controlled. According to the method and the device, the motor rotating speed and the electromagnetic valve current are controlled based on the deviation between the request acting force of the active suspension system and the suspension rigidity force determined by the vehicle state signal, so that the actual output force of the active suspension system at each wheel end can be accurately regulated and controlled, and the control stability and the riding comfort of the vehicle under different driving working conditions are improved.

The invention relates to an active suspension control method and device based on driving style recognition and pavement preview. The method comprises the steps that vehicle state parameters and driving environment data in the vehicle driving process are collected in real time; determining a driving style based on the vehicle state parameters, and determining pavement preview information of the vehicle reaching different pavement areas based on the driving environment data; according to the driving style, the vehicle state parameters and the road surface preview information, determining a target regulation and control strategy for an active suspension of the vehicle; and according to the target regulation and control strategy, the active suspension executing mechanism is controlled to act. By adopting the method, the adaptive capacity of the vehicle suspension system can be improved.

The invention discloses a human body protection active suspension system control method, device and equipment and a storage medium, and the method comprises the steps: collecting vibration acceleration data of a vehicle body and an unsprung in real time after a human body protection function of a current vehicle is activated; converting the vibration acceleration into a vertical vibration frequency, and judging whether the vertical vibration frequency exceeds a preset vertical threshold value or not; when the vertical vibration frequency exceeds a preset vertical threshold value, the current of the active actuator is adjusted; the vehicle body vibration frequency can be effectively prevented from falling below the safety limit value, health risks caused by continuous exposure of pregnant women and other special groups to high-frequency vibration are avoided, it is ensured that the vibration environment in the driving process meets the human body tolerance standard, transmission of road surface vibration excitation is reduced through a calibration algorithm, the vehicle body vibration frequency is improved, and the driving safety is improved. The protection on the human body is enhanced, the human body is prevented from being exposed in a high-frequency vibration environment for a long time, and the control speed and efficiency of the active suspension system are improved.

The invention discloses an active suspension control method, a vehicle controller and a vehicle, and belongs to the technical field of vehicles, when a driver steps on a brake pedal to brake the vehicle, target brake pressure can be calculated based on the trampled stroke of the brake pedal, at the moment, a brake system does not control a brake to brake, and the target brake pressure can be calculated based on the trampled stroke of the brake pedal. A front active force of a front suspension is adjusted to a target forward active force in an upward direction, a rear active force of a rear suspension is adjusted to a target rear active force in a downward direction, and the front suspension increases the target forward active force opposite to the sinking movement of the front side of the vehicle before a braking system applies a significant braking force to the vehicle. Meanwhile, the rear suspension increases target rear main power opposite to the lifting motion of the rear side of the vehicle, and resistance is provided for the upcoming forward inclination trend of the vehicle; when the braking system brakes the vehicle, the front side and the rear side of the vehicle are affected by the target front main power and the target rear main power respectively, the initial amplitude and the speed of forward inclination of the vehicle body are restrained, and the comfort of passengers in the vehicle is improved.

The invention belongs to the field of vehicle under-actuated system control, and particularly relates to an active suspension control method based on a Wuka theory analysis kinetic model and a vehicle. The control method comprises the following steps: firstly, constructing an equivalent 1 / 4 suspension model of a vehicle; then, the roll angle, the pitch angle and the vertical displacement of the vehicle and the displacement of the unsprung mass in each wheel suspension serve as one degree of freedom, and a seven-degree-of-freedom whole vehicle dynamic model based on the active suspension is constructed and converted into a matrix form; then, taking the roll angle, the pitch angle and the vertical displacement following expectation as control targets, establishing a corresponding three-dimensional error equation and a constraint equation, and converting the constraint equation into a matrix form; and finally, designing a control strategy of the vehicle based on the constraint following error, and calculating a servo control force and an additional control force in combination with the real-time state of the vehicle so as to obtain an active control vector. According to the method, the pitching and roll coupling control effect of the vehicle can be remarkably improved, and the dynamic response speed and the control precision of the system are improved.

The invention discloses a parameter optimization and reliability evaluation method for an active suspension control system of a high-speed train, and the method comprises the steps: combining a kinetic model with a multi-objective optimization algorithm; an active suspension secondary vertical stiffness parameter, an active suspension secondary transverse stiffness parameter, an active suspension primary radial stiffness parameter and an anti-snaking shock absorber stiffness parameter of the high-speed train are respectively used as design variables, and curve passing performance, a sperling index and a critical speed in the operation of the high-speed train are optimized; and when the optimization reaches the maximum iteration parameter and the obtained pareto optimal parameter combination meets the constraint condition, verifying the safety, stability and stability of the high-speed train until reaching the standard, thereby verifying the reliability of the active suspension control system, and finally evaluating the reliability of the active suspension control system of the high-speed train. Therefore, the running performance and the line adaptability of the train are improved.

A lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle, and a related device. The lateral–vertical dynamics coordinated control method for a distributed drive electric vehicle comprises the following steps: creating a fourteen-degree-of-freedom full vehicle model which considers unbalanced magnetic force in an in-wheel motor, so as to accurately represent a state response of a vehicle under different inputs; a three-dimensional piecewise affine tire model performing piecewise linearization of a lateral force of a tire under different side slip angles and vertical loads, so that nonlinear features of the tire can be described under extreme operating conditions; creating an active front-wheel steering controller on the basis of hybrid model predictive control, obtaining a reference center of mass side slip angle and a yaw rate by means of a bicycle model, and then calculating an additional steering angle of the vehicle, thereby ensuring vehicle stability; and designing a multi-constraint input and multi-constraint output active suspension controller based on dual-model predictive control by using roll stability and ride comfort, that is, a tire dynamic load, a vehicle body acceleration, and an in-wheel motor stator-rotor eccentricity, as suspension design control targets.

A vehicle may include a vehicle body, a plurality of wheels, an active suspension system operatively coupled to the plurality of wheels and the vehicle body, and at least one processor configured to control the active suspension system. The at least one processor may be configured to determine a first force command based on a vehicle body parameter, determine a second force command based on the vehicle body parameter and a suspension parameter, determine a blend ratio based on the first force command, determine a third force command based at least partly on the blend ratio, the first force command, and the second force command, and command the at least one actuator to apply force between at least one of the plurality of wheels and the vehicle body based at least partly on the third force command.

The invention relates to the technical field of vehicle suspensions, in particular to an active shock absorber, an active suspension system and a vehicle, and the active shock absorber comprises a valve seat, an inner cylinder, a piston, a flow control electromagnetic valve, a hydraulic pump assembly and the like. The inner cylinder is fixed on the valve seat; the piston divides an inner cavity of the inner barrel into an upper cavity and a lower cavity and integrates a normally-open recovery and compression overflow valve assembly, a recovery and compression valve assembly and a flow control electromagnetic valve, and the flow control electromagnetic valve controls the flow of the recovery and compression valve assembly; the hydraulic pump assembly is connected with the upper cavity and the lower cavity and can pump liquid bidirectionally. According to the active shock absorber, the flow control electromagnetic valve is matched with the hydraulic pump assembly, the pressure of the upper cavity and the lower cavity can be rapidly adjusted, the high-frequency response requirement is met, and the high-frequency vibration processing capacity of a vehicle is improved. The first controller calculates the stress of the piston based on the pressure of the upper and lower cavities, accurately adjusts the main power to adapt to different working conditions, and meets the requirements of smoothness and operation stability.

The invention discloses an active suspension practical specified time control method based on a period lag sliding mode, and belongs to the field of automobile active suspension control. The control method comprises the following steps: 1, establishing a half-vehicle active suspension model with system uncertainty; 2, separating uncertain items of the system, and constructing a tracking error control model of the height and the attitude of the vehicle body; and 3, based on a periodic lag sliding mode control method, respectively designing a vehicle body displacement control law and a vehicle body attitude control law. The method is applied to automobile active suspension control.

The invention relates to the technical field of vibration reduction, in particular to a full-active suspension hydraulic system, a control method and a vehicle, and the full-active suspension hydraulic system comprises a vibration absorber body, an energy accumulator, a passive damping loop and an active control loop; the shock absorber body comprises a cylinder body, a piston and a piston rod, and the cylinder body is divided into a first working cavity and a second working cavity by the piston; the passive damping loop comprises a first branch communicating with the first working cavity and the energy accumulator and a second branch communicating with the second working cavity and the energy accumulator, and the first branch and the second branch are each provided with an adjustable damping valve set. The active control loop comprises a power pump and a switching valve, and two oil ports of the power pump are correspondingly communicated with the first working cavity and the second working cavity through the switching valve respectively. The vehicle body posture can be accurately adjusted in the active mode, meanwhile, the active control loop can be cut off in the passive mode to reduce power consumption, vibration reduction is stabilized through the adjustable damping, and it is guaranteed that the passive damping loop can independently and reliably work when the power pump fails.

The invention relates to the technical field of commercial vehicles, in particular to a vehicle shock absorber damping force dynamic adjustment method based on road feature recognition, and introduces a machine vision technology to detect road features in the vehicle driving direction. Through the machine vision system, the vehicle can identify the unevenness features of the road in advance, including the feature types and the spatial positions thereof, and feed back the information to the control system in real time. And the control system adjusts the damping force of the shock absorber in advance according to the previewed road characteristics. Specifically, training and optimization are carried out based on an improved YOLOV8 model, road feature classification information and detection frame position information from the trained model are received in real time through a semi-active controller, and a preset control algorithm is executed according to information returned by the model to adjust the damping force of the shock absorber in advance. According to the method, preview control is carried out in the semi-active suspension by recognizing road excitation, and the problem that the vibration reduction effect of the semi-active suspension is not ideal due to response time lag of the vibration damper is solved.

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 application provides a vehicle control method and a vehicle, and belongs to the technical field of vehicle control. The vehicle control method comprises the following steps: obtaining a traffic risk level of a road section in front of the vehicle and current state information of the vehicle, and the vehicle is provided with an active suspension; determining a target response strategy based on the traffic risk level and the current state information; and controlling the vehicle to execute the target response strategy, wherein the target response strategy comprises a height adjustment strategy of the active suspension. Thus, different traffic risk levels are divided according to the road conditions of the road section in front of the vehicle, and different target response strategies are provided in combination with the current state information of the vehicle, for example, direct traffic, traffic after height adjustment, or detouring in the case that there is still a risk of scratching after adjustment. Therefore, the vehicle intelligently and objectively controls the corresponding target response strategy based on different traffic risk levels and the current state of the vehicle, timely and effectively prevents scratching during vehicle driving, and improves vehicle safety.

The application discloses an electromagnetic-thermal double-coupling temperature rise prediction and double-cycle optimization method for an active suspension actuator, establishes an electric-magnetic-thermal double-direction coupling relationship transfer model of the active suspension system actuator, iteratively solves steady-state / transient temperature distribution functions of each net point of the actuator based on a mapping relationship between road excitation and linear thrust of the actuator, and obtains electric-magnetic-thermal coupling characteristics of the actuator under each iteration algebra; the steady-state / transient temperature distribution functions are used for temperature rise prediction of the active suspension actuator; the electric-magnetic-thermal coupling performance of the actuator is taken as an optimization target, vehicle suspension performance is taken as a constraint condition, a double-cycle optimization strategy of the active suspension system is constructed, and optimal parameters required when the active suspension system is designed are obtained. The design parameters obtained by the method can improve the design efficiency and effect of the active suspension system, and the active suspension system designed has the advantages of low energy consumption, high control precision and good reliability.

A vehicle stability control method and device, vehicle, equipment and computer readable storage medium. In the method, vehicle operating parameters are obtained, including vehicle steering wheel angle signal, vehicle speed, lateral and longitudinal acceleration signals and yaw rate signal; According to the steering wheel angle signal, lateral and longitudinal acceleration signals and yaw rate signal, the mass center side slip angle offset is obtained; According to the mass center side slip angle offset, lateral and longitudinal acceleration signals and yaw rate signal, the target lateral correction torque is determined; According to the target lateral correction torque, the target active force is determined, and then the target active force is sent to the active suspension, so that the active suspension adjusts the wheel vertical load based on the target active force, which can quickly correct the vehicle driving posture, suppress the instability trend, and effectively improve the vehicle driving stability and safety.

The invention relates to the technical field of vehicles, in particular to a whole vehicle virtual iteration method, system and device with semi-active suspension control, and the method comprises the steps: constructing a whole vehicle model with a semi-active suspension, and calculating the transfer function of the whole vehicle model in different driving modes; acquiring load spectrums and shock absorber current values of the real vehicle in different vehicle driving modes, and loading the load spectrums and the shock absorber current values to the whole vehicle model to obtain model files in different driving modes; and performing virtual iterative calculation on the model file, the transfer function and the load spectrum data to obtain pseudo damage values of the three-way force of the wheel center in different driving modes. Therefore, the problem that the simulation calculation result is inaccurate due to the fact that the damping characteristics of the shock absorber under different shock absorber current values are not considered in a traditional virtual iteration method and the real motion state of the vehicle is difficult to reproduce is solved, a load spectrum with higher precision is provided for the vehicle applying semi-active suspension control, and the simulation calculation result is more accurate. And supporting a part rack endurance test.

The invention discloses an automobile active suspension high-pressure oil pump testing device and a using method thereof. The device comprises a pre-pressing tank, a testing unit and a circulating oil way. The pre-pressing tank is used for storing oil and providing stable pre-pressure; the testing unit is used for mounting and driving a high-pressure oil pump with first and second pump ports; the circulating oil path is connected between the pre-pressing tank and two pump ports of the high-pressure oil pump to form a closed circulating loop, and comprises a loading module and a one-way valve assembly; the one-way valve assembly can automatically guide the flowing direction of oil according to the rotating direction of the high-pressure oil pump, so that any pump opening serves as an oil inlet when rotating forwards and serves as an oil outlet when rotating backwards. According to the design, self-adaptive switching of an oil way is achieved in a pure hydraulic mode, forward and reverse rotation performance testing of the oil pump can be completed without disassembling a pipeline, the problems of pre-pressure fluctuation, oil pollution and low efficiency caused by system opening in a traditional method are effectively solved, and the testing reliability and efficiency are remarkably improved.