323 results about "Control curve" patented technology

The invention provides an electromagnetic-assisted nickel-based alloy laser melting deposition crack inhibition method and system, relates to the technical field of automatic control, constructs an intelligent control system, carries out deep fusion and real-time prediction on multi-source heterogeneous sensing data, generates a prediction result, sets a reward function and an action-value network, and improves the performance of the nickel-based alloy laser melting deposition crack inhibition system. Solving to obtain an optimization control strategy and analyzing and outputting the optimization control strategy; and constructing a three-dimensional electromagnetic field distribution matrix. In combination with real-time feedback of the shape of the molten pool, the molten pool is stimulated to flow directionally and oscillate non-linearly according to the resonance effect, oscillation parameters are obtained, thermodynamic behaviors corresponding to the molten pool are predicted according to the oscillation parameters, and a thermodynamic prediction result is fed back to the central control unit; the method comprises the following steps: detecting the surface appearance of a part, extracting defect characteristic parameter vectors, inverting defect influence factors, generating a dynamic regulation and control curve, dispersing the dynamic regulation and control curve into multi-dimensional control instruction vectors, updating a preset regulation and control model, outputting optimized regulation and control model parameters, and carrying out crack suppression operation again.

The invention discloses a pepper freezing temperature gradient dynamic adjusting method and system, particularly relates to the technical field of industrial freezing temperature control, and is used for solving the problem of temperature gradient misalignment caused by the fact that a static model does not sense dynamic changes of material thermodynamic parameters in real time in an existing freezing control method. Temperature distribution and gas flow rate data in the freezing process are collected in real time, a high-confidence-coefficient data subset of a low-flow-rate area is screened based on spatial correlation, the dynamic heat conduction coefficient of the material is identified online through a recursive algorithm, and the dynamic heat conduction coefficient of the material is identified through a double-threshold-value judgment mechanism of the energy release rate and the phase lag angle. Performing segmentation fitting to generate a stable parameter sequence; further dynamically adjusting a preset temperature gradient model through a nonlinear correction strategy to generate a self-adaptive gradient control curve, and finally driving heat exchange rate adjustment to realize closed-loop tracking of the actual temperature gradient on a target curve; the freezing uniformity and energy efficiency of the high-moisture material are remarkably improved, and the control precision caused by thermal response mismatch is improved.

The invention provides a range hood control method and system based on the Internet of Things, and relates to the technical field of artificial intelligence and the Internet of Things, and the method comprises the steps: obtaining multi-source layered environment characteristic data of heating power, oil smoke and airflow through constructing a layered data collection network, and carrying out the processing of edge calculation and a cloud server, drawing force required by each area is calculated, a self-adaptive fan control curve is generated, and then an initial control parameter set containing a main fan rotating speed value, an auxiliary fan rotating speed value and an air deflector angle value is generated; the method comprises the following steps: constructing a vortex flow prediction model based on a vortex tensor and a velocity divergence by using a cloud edge collaborative architecture, predicting an airflow movement track, calculating a real-time airflow deviation degree, dynamically adjusting an initial control parameter group to generate a target control parameter group, and finally continuously optimizing the prediction model through a deep reinforcement learning network.

The invention discloses a power distribution network voltage control method based on distributed photovoltaic active-reactive cooperation, and the method comprises the steps: analyzing the influence of reactive / active injection on voltage stability through building a sensitivity matrix, deducing a critical control gain constraint condition, and guaranteeing the static stability of the voltage of a power distribution network; a photovoltaic inverter active / reactive cooperative control general model suitable for different scenes is constructed based on an intra-day scheduling and real-time control two-stage framework, and control curve parameters of each node photovoltaic inverter are optimized by taking minimization of network loss cost, active reduction cost, inverter voltage regulation cost and voltage deviation as targets in the intra-day scheduling stage; in the real-time control stage, active power reduction and reactive power regulation are dynamically coordinated based on an optimal control curve, reactive power margin is preferentially utilized to suppress voltage rise, and power flow distribution is directly regulated through active power reduction when reactive power capacity is saturated. According to the method, the safety and economy of the power grid are considered, and theoretical support and a practical solution are provided for voltage control of the high-permeability photovoltaic power distribution network.

The invention discloses a processing control method and system for a carbon fiber composite transmission shaft, and relates to the technical field of intelligent transmission shaft manufacturing, and the method comprises the steps: dynamically adjusting the control current of a magneto-rheological damper through a PID controller based on a process control parameter set, and recording tension fluctuation and temperature gradient data; inputting tension fluctuation and temperature gradient data into an ANSYS coupling simulation engine, establishing a three-dimensional temperature field model, calculating a resin flow compensation coefficient, generating a temperature-pressure cooperative control curve through an NSGA-III multi-objective optimization algorithm based on the resin flow compensation coefficient, and calculating the resin flow compensation coefficient and the temperature-pressure cooperative control curve according to the resin flow compensation coefficient and the temperature-pressure cooperative control curve. And integrating through a time sequence control engine to generate a solidification control instruction. According to the invention, a multi-source data fusion algorithm is combined with the industrial Internet of Things edge computing gateway, so that accurate monitoring and synchronous processing of the process control parameter set are realized, and the dynamic behavior of the carbon fiber composite material in the processing process is comprehensively reflected.

The invention relates to the technical field of progress management, in particular to a whole-process project cost progress management method and system, equipment and a medium. According to the method, the engineering project is structurally decomposed, the mapping relation between the cost data and the progress data is established, and real-time monitoring of the cost execution deviation is achieved; the method comprises the following steps: firstly, obtaining divided item engineering data and dividing construction nodes, then calculating planned cost and actual cost of each node, further analyzing cost execution deviation through a mathematical model, and finally establishing a cost progress control curve based on deviation data and generating an adjustment scheme. The construction cost management and the progress management are organically combined, the limitation of a traditional independent management mode is broken through, the construction cost deviation can be found and corrected in time, and the management efficiency and the control precision of an engineering project are effectively improved.

The invention relates to the technical field of charging management, and discloses an intelligent charging management method, device and equipment for an electric scooter and a storage medium, and the method comprises the steps: carrying out the parameter collection and initialization setting of a single-phase bidirectional converter and a permanent magnet synchronous motor in the electric scooter, obtaining system basic parameters and communication data, and obtaining a network authentication identifier and a charging station operation parameter. And dynamic planning of a charging strategy is executed according to the parameters to generate a segmented charging control curve. And the data are input into the self-adaptive prediction controller to realize real-time adjustment in the charging process, and charging state data and power compensation parameters are obtained. And adopting a double-neural network model structure to obtain a battery safety feature matrix and a fault probability vector. And constructing a three-dimensional charging state space model to carry out optimization calculation on the power compensation parameters, inputting a deep reinforcement learning network to carry out iterative optimization, and generating charging control parameters of the next period, thereby improving the charging efficiency and the electric energy quality of the electric scooter.

The invention belongs to the field of water pump runner blade design, and particularly relates to a centrifugal pump runner blade parameterization modeling and optimizing method and system.The method comprises the steps that firstly, a runner three-dimensional initial model is built according to parameters such as the inlet diameter and the outlet diameter of a runner in combination with a traditional unary theory design method; secondly, flow paths of an inlet, an outlet and front and rear cover plates of the section of a runner shaft are extracted, multiple streamlines on the runner blades are extracted at equal intervals, multiple control curves of the front and rear cover plates of the runner, blade bone lines, thickness and the like are expressed through a Bezier fitting line method, and a parameterized model of the runner blades is constructed; establishing a numerical model, and performing analog calculation to obtain multiple groups of runner external characteristics; and finally, performing iterative optimization in combination with a multi-target genetic algorithm to obtain an optimal solution. According to the method, the hydraulic optimization process of the rotating wheel is accelerated, and technical reference is provided for external characteristic optimization of the centrifugal pump.

The invention relates to the technical field of chip test engineering control, in particular to an active temperature control method and system for a chip aging tester, and the method comprises the steps: analyzing a test process according to test task parameters, and evaluating the expected thermal load change rate of a test chip, so as to dynamically generate a chip target junction temperature control curve; based on the chip target junction temperature control curve, the actual chip junction temperature and the current actual furnace temperature, the theoretical furnace temperature is obtained through a junction temperature closed-loop control algorithm, the furnace temperature compensation amount is calculated through a feedforward compensation algorithm in combination with the test state parameters, and the ideal furnace temperature is obtained according to the theoretical furnace temperature and the furnace temperature compensation amount; the actual temperature control quantity is obtained according to the basic temperature adjusting quantity and the temperature control compensation quantity, a preset chip target junction temperature control curve can be tracked more accurately, transient and steady state errors caused by test program switching and environment fluctuation can be more effectively restrained, and control over the chip junction temperature with higher precision and faster response is achieved.

The invention provides a dynamic power adaptive charging control system and method based on a W algorithm, and relates to the technical field of electric two-wheeled vehicle charging control. The system comprises a battery state sensing module, a charging power standard calculation module, a regulation and control model construction module, a model dynamic optimization module and a deviation early warning and regulation and control module. The battery state sensing module generates battery charging basic data; the charging power standard calculation module calculates a charging operation power standard value; the regulation and control model construction module generates an initial power regulation and control curve; the model dynamic optimization module calculates a self-adaptive charging power regulation and control curve; and the deviation early warning and regulation module realizes self-adaptive regulation of the charging power of the electric two-wheeled vehicle. According to the method, the power grid adaptability correction model is constructed and the regional differentiation parameters are introduced, so that power grid fluctuation is flexibly coped, wide-voltage stable operation is guaranteed, and the adaptability, the safety and the intelligent level of the electric two-wheeled vehicle charging system are comprehensively enhanced.

Disclosed in the present invention are a backup system, and a train control system and an application method thereof. The backup system comprises: a lineside electronic unit, which communicates with a TIS or a station computer-based interlocking device to obtain a signal state and turnout position information; and an active balise connected to the lineside electronic unit and an onboard device, respectively; wherein the lineside electronic unit determines sent movement authority information and line data information on the basis of the obtained signal state and turnout position information; when a train passes through the position where the active balise is located, the active balise sends the obtained movement authority information and line data information to the onboard device; and when entering an enhanced backup mode, the onboard device in the train control system calculates a speed-distance control curve on the basis of the movement authority information and the line data information obtained from the active balise, so as to perform train operation supervision and protection. According to the prevent invention, when train-ground wireless communication is interrupted and a train control system is degraded to a backup mode, a train is allowed to enter a station at a higher speed.

The invention relates to a mold injection molding speed control method, device and equipment, a medium and a program product. The method comprises the following steps: acquiring dynamic behavior information in a mold cavity of the injection mold and screw displacement data of injection molding equipment; carrying out fusion processing on the screw displacement data and the dynamic behavior information to obtain fusion data; inputting the fusion data into a pre-constructed melt front edge prediction model, and generating a target injection molding speed control curve by using preset target molding strategy parameters; wherein the target injection molding speed control curve is used for controlling the injection molding equipment to execute corresponding injection molding speeds in different injection molding stages; the target injection molding speed control curve comprises at least two speed change control sections so as to adapt to mold filling requirements of different stages; and the target injection molding speed control curve is input into an injection molding machine control system, so that the injection molding machine control system executes injection molding action according to the target injection molding speed control curve, and the melt is pushed along the mold cavity. By adopting the method, the accuracy of the forming speed can be improved.

The invention provides an automatic mode switching method and device of an integrated vehicle-mounted system and a storage medium. The method comprises the following steps: receiving system switching information, and determining a current system and a target system according to the system switching information; according to the speed limiting information before switching and the system switching point position, the movement authorization information of the current system is used for calculating a train operation control curve, and the train speed is monitored; according to the train operation control curve and the train speed, whether the train reaches the system switching point position or not is judged in real time; when the train arrives at the system switching point position, the current system is switched to the target system, and the current system is switched to the background state; and updating the train operation control curve according to the switched speed limit information and the movement authorization information of the target system. The system can be simplified, the cost is reduced, the automatic compatible switching of the system is realized, and the system efficiency and safety are improved.

The invention belongs to the technical field of high-temperature experimental equipment, and discloses an integrated intelligent program control and multiple safety protection experimental box-type resistance furnace which comprises a furnace body, a sensor suite and a controller, the controller runs an intelligent control program based on neural network model predictive control, namely NN-MPC, and the intelligent control program is connected with the sensor suite. The method is used for realizing accurate tracking of a complex temperature control curve and optimization of energy consumption. Meanwhile, the controller also runs an active health management program based on prediction and health management, namely PHM, and the program predicts the residual service life, namely RUL, by monitoring health indexes such as resistance of the heating element in real time, so that early warning and predictive maintenance of faults are realized; the health state information of the PHM module is fed back to the NN-MPC module in real time, so that the control system can adapt to aging of the equipment, and the control performance, the energy efficiency, the operation reliability and the overall safety of the equipment are remarkably improved.

The invention relates to the technical field of intelligent lighting control systems, in particular to an underground garage lighting control system and method based on artificial neural network PID and a storage medium. Comprising a brightness sensor, a traffic flow sensor, an illuminance sensor, a temperature and humidity sensor and a microwave speed measurement sensor which are arranged inside and outside a garage; the intelligent network connection lamp comprises an intelligent gateway unit, an LED dimming driving unit and an LED lamp, and the intelligent gateway unit is used for receiving the control instruction and communicating with the upper computer; and the upper computer is used for receiving the data of the detection unit, generating an optimal illumination control curve based on a garage comfort illumination model and a rendezvous zone fuzzy control model, and adjusting the illumination of lamps in each zone in real time through an RBF neural network PID (Proportion Integration Differentiation) algorithm. According to the method, self-learning optimization is achieved, PID parameters are adjusted online through the neural network RBF, the method adapts to long-term dynamic influences such as differences of different types of garages, seasonal changes and equipment aging, and optimal control is given.

A method and a module for controlling a heat dissipation fan, and a non-transitory computer readable medium are provided, the module includes a BMC and a CPLD, the method includes: controlling the heat dissipation fan by the CPLD when the BMC stopped controlling the heat dissipation fan; obtaining a predetermined rotational speed and a predetermined control curve by the CPLD according to a status of the BMC and / or a status of the server; and detecting an environment temperature, obtaining a target rotational speed according to the environment temperature and the predetermined control curve, and controlling the heat dissipation fan to work with the target rotational speed by the CPLD, wherein the target rotational speed is less or equal to the predetermined rotational speed.

The invention relates to the technical field of oil and gas development, and provides a fracturing pump injection optimization method, device and equipment and a storage medium, the method comprises the steps that initial pump injection control parameters and constraint conditions of all fracturing stages are obtained, and the fracturing stages comprise the prepad fluid stage, the sand-carrying fluid stage and the displacing fluid stage; the pump injection control parameters serve as input, a pump injection target function is optimized through a multi-target optimization algorithm, and an optimal pump injection control curve meeting the constraint conditions is generated; and pump injection control parameters of all the fracturing stages are adjusted according to the optimal pump injection control curve. According to the method, the optimization efficiency and the optimization precision of fracturing pump injection optimization can be improved, and finally, the fracturing efficiency and the fracturing precision of fracturing operation can be improved.

The present invention relates to the field of semiconductor manufacturing technology, and more specifically, to a temperature control system and method for a semiconductor chamber with two heating disks. The present invention provides a temperature control system for a semiconductor chamber with two heating disks, comprising: a first heating disk and a second heating disk, a temperature acquisition unit, which acquires the temperature of the first heating disk and the second heating disk; a control unit, which is arranged outside the cavity and adjusts the output power of an execution unit; an execution unit, which heats the first heating disk and the second heating disk; wherein the control unit is a PID controller, which selects multiple temperature regions for segmented PID adjustment, and performs PID adjustment on the execution unit. The present invention can respectively acquire and calibrate the temperatures of the two heating disks under different temperature environments, and combine the acquisition and improvement of PID control curves at different temperatures with temperature multi-segment PID adjustment to achieve precise temperature control of the two heating disks in a single cavity.

The invention relates to the field of mechanical transmission control, and discloses a self-adaptive torsion optimization method and system based on a stress model. The method mainly comprises the following steps: acquiring strain, temperature and vibration data of a transmission system in real time through a distributed sensor network; constructing a three-dimensional dynamic stress field model, and marking a high-risk area; dynamically adjusting a safety threshold based on material fatigue characteristics, and generating a torque control curve by adopting an optimization algorithm; and eliminating response delay through a pre-compensation mechanism. The system comprises an edge calculation unit, a millisecond-level actuator and a grading protection module. According to the method, the tooth root stress concentration is successfully inhibited by 35% in the wind power gear box, the impact load is reduced by 52% in the industrial robot joint, the equipment reliability is remarkably improved, and the service life is remarkably prolonged. The device is suitable for transmission systems of wind power, electric automobiles, industrial robots and the like.

The invention discloses an AC excitation system self-starting control method and system, and the method comprises the steps: obtaining a rotor current rotation frequency and an actual rotor rotation frequency, and generating a slip frequency; the slip frequency is compared with a preset dynamic threshold value, and the rotating speed given value is dynamically adjusted; inquiring a preset multi-stage sectional type current control curve according to the actual rotor rotation frequency, and outputting a d-axis current given value; pI adjustment is carried out based on the slip frequency to generate a q-axis current given value, and corresponding preset current threshold limit is applied according to the frequency band where the actual rotor rotation frequency is located; performing independent parameter configuration on the magnetic flux current control loop and the torque current control loop by adopting a non-coupling parameter setting algorithm; and in the unit starting process, under the condition that the stable starting constraint condition is met, an optimal starting parameter combination is generated. According to the invention, by dynamically adjusting the rotating speed given value and controlling the current in a segmented manner, the stable self-starting of the alternating current excitation system is realized, and the reliability and efficiency of the starting process are improved.

The invention discloses a dual-phase steel forming method and system based on critical zone heat treatment, and relates to the technical field of material heat treatment.The dual-phase steel forming method comprises the steps that material characteristics and geometric dimensions of a to-be-treated workpiece are obtained, and a heat treatment temperature control curve is determined; the method comprises the steps that a heating control area, a heat preservation control area and a cooling control area are configured, small-batch machining is conducted on workpieces to be treated, temperature monitoring and microstructure change collection are conducted, and a plurality of actual heat treatment curves, a plurality of microstructure change sequences and a plurality of dual-phase steel workpieces are obtained; generating a target microstructure change prediction model of the to-be-processed workpiece based on the microstructure change general prediction model; and the to-be-treated workpieces are subjected to mass production, real-time prediction control and overall prediction optimization are carried out, and dual-phase steel forming control is carried out. According to the method, the technical problems of low microstructure control precision and poor process consistency in the heat treatment process of the dual-phase steel in the prior art are solved, and the technical effects of precise forming and performance stability of the dual-phase steel workpiece in production are achieved.

The invention discloses a special vehicle action method and a related device, which are used in the field of vehicle control and used for an electric actuation system.The method comprises the steps that firstly, an action instruction is received; the action instructions comprise an erecting instruction, a leveling instruction and a withdrawing instruction; then, responding to the action instruction, and executing an action program corresponding to the action instruction based on a pre-calculated control curve; the action program is determined by simulating a plurality of programs designed on the basis of a universal control tool through an electric action system model established on the basis of a universal integrated platform; and finally, based on inclination angle information fed back by the inclination angle sensor and a target inclination angle corresponding to the action instruction, determining an action completion state. Therefore, the electric actuating system is used for replacing a traditional hydraulic system in the operation of the special vehicle, the energy conversion steps can be obviously reduced, electric energy is directly converted into mechanical energy, the efficiency is improved, and the energy loss is reduced.

The invention discloses a high-speed train head type aerodynamic optimization design method, device and equipment and a storage medium. The optimization design method comprises the steps that a high-speed train aerodynamic simulation model is constructed; performing free-form surface fitting on the front end surface of the high-speed train aerodynamic simulation model to form a grid surface; according to the train head deformation requirement, key spline control molded lines are added to grid lines of the grid face, and grid points are selected from the key spline control molded lines to serve as control points; defining control point parameters and an optimization target; based on the control point parameters and the optimization target, an intelligent optimization algorithm is adopted to carry out optimization solution, and each control point parameter under the optimal target is obtained; and performing high-speed train head optimization design according to the parameters of each control point under the optimal target. According to the method, the free-form surface modeling technology is combined with high-precision computational fluid mechanics and an intelligent optimization algorithm, and the problems that a traditional method is low in design freedom degree, long in period and difficult in global optimization are solved.

The invention provides a control method and device for automatic leveling of an aerial work platform, the platform and a medium. The method comprises the steps that after the aerial work platform is started, the platform angle is obtained; within a first preset duration, determining a first automatic leveling current of the proportional valve according to the platform angle and the first automatic leveling control curve; within a second preset duration after the first preset duration, an angle change value is determined according to the current moment and the second preset duration, and a second automatic leveling current of the proportional valve is determined according to the platform angle, the angle change value and the first automatic leveling control curve; and after a second preset duration, according to the platform angle and a second automatic leveling control curve, a third automatic leveling current of the proportional valve is determined, automatic leveling of reference to zero offset is carried out, and the second automatic leveling control curve is obtained by moving the longitudinal axis of the first automatic leveling control curve leftwards / rightwards. According to the method, the leveling stability and the leveling effect of the aerial work platform are improved.

The invention discloses a high-precision die-casting action closed-loop control method and device and a medium. The method comprises the following steps of: in a rapid injection stage, adopting a smooth curve which is generated by adopting Lagrange interpolation and comprises a starting point, an end point, a middle point and two symmetrical points which are symmetrical along the middle point and are used for controlling the radian of the curve as a first opening control curve of the outlet servo valve; and in the mold unlocking and locking stage, an acceleration-constant speed-deceleration three-section motion curve is adopted as a target motion curve of the driving oil cylinder, and a second opening degree control curve of the proportional valve used for controlling the driving oil cylinder to act is constructed based on the target motion curve. The device and the medium are both used for implementing the method. The method has the beneficial effects that the opening signal of the outlet servo valve is planned through Lagrange interpolation, the opening curve can be smooth, and therefore high-speed overshoot suppression is achieved; and meanwhile, through the arrangement of the three-section type motion curve, the pressure step of the driving oil cylinder can be effectively relieved.

The invention relates to the field of electric pressure cooker control, and discloses a cooking pressure release optimization method and equipment based on user scene self-adaption, and the method comprises the steps: obtaining food material information and altitude information of an electric pressure cooker, and determining a pressure release control curve corresponding to the food material information according to the food material information and the altitude information; obtaining pressure release adjustment historical information of adjusting the electric pressure cooker by the user when the electric pressure cooker cooks through a pressure release control curve corresponding to the food material information; and determining an optimized pressure release control curve according to the food material information, the altitude information, the pressure release control curve corresponding to the food material information and the pressure release adjustment historical information through a cooking pressure adjustment model. When pressure release control is performed on the electric pressure cooker according to the altitude change, optimization can be performed in combination with the use habits of the user, and the use effect of the electric pressure cooker is improved.

The invention provides a range hood operation control method and device, a lifting type range hood and electronic equipment, and the method comprises the steps: obtaining a to-be-cooked food material and a user portrait in response to a cooking starting operation; generating a personalized menu based on the to-be-cooked food materials and the user portrait; and generating a control curve of the range hood based on the personalized menu, wherein the control curve comprises a range hood lifting curve and / or a range hood air volume curve. According to the method, the fine-grained user portrait is constructed by collecting the biological characteristics, the dietary habits and the cooking behavior characteristics of the user, and the control curve of the range hood adaptive to the individual preference is generated accordingly, so that the individual suitability and accuracy of the control curve of the range hood are remarkably improved.

The invention provides a thickness measuring device and method based on progressive control. The device comprises a U-shaped sensor supporting moving part and a contact type thickness measuring module. The contact type thickness measuring module comprises a driving controller, a first displacement sensor and a second displacement sensor, wherein the first displacement sensor and the second displacement sensor are arranged at the first end and the second end of the U-shaped sensor supporting moving part respectively, and a measured object is located between the first displacement sensor and the second displacement sensor. A detection head of the first displacement sensor is aligned with a detection head of the second displacement sensor, and the first displacement sensor and the second displacement sensor are both provided with driving sources; in the thickness measuring process, the driving controller controls the driving source to respectively drive the detection head of the first displacement sensor and the detection head of the second displacement sensor to gradually clamp a measured object according to a pre-calibrated step control curve and obtain a first thickness value of the measured object. The device can improve the accuracy of sheet thickness detection.

A power tool includes a trigger module, a motor unit, and a controller electrically connected to the trigger module and the motor unit. The controller stores parameter data that define a common control curve that represents a corresponding relationship between a reference pressed depth and a reference rotation speed. The controller obtains a pressing value from the trigger module, and outputs a control signal at least based on the common control curve and the pressing value to the motor unit. The common control curve has a low-speed curve segment and a high-speed curve segment. In a low speed mode, the controller outputs the control signal based on the low-speed curve segment. In a high speed mode, the controller outputs the control signal based on a high-speed control curve composed at least of the low-speed curve segment and the high-speed curve segment.

The invention belongs to the technical field of vehicle braking, and particularly relates to a control method and system for a vehicle slope rushing braking current, and the method comprises the steps: when an electric forklift is in a slope rushing braking state, controlling a motor current to reach a first braking current, and obtaining a rising slope of the motor current in a first time period; performing multiple tests under different gradients, collecting test data to establish a first mathematical model, determining a first relationship between the rising slope and the voltage, and calculating a voltage falling control curve under a specific slope based on the first relationship; after the output voltage of the motor controller is zero, the current at zero voltage is obtained, a compensation current control curve is determined, and voltage output is adjusted to reach compensation current; and when the compensation current is reached, the motor controller also predicts the rotating speed of the motor, and when the rotating speed of the motor is reduced to zero, the motor controller closes the electromagnetic brake and stops the current control, so that the slope rushing braking process is completed. According to the invention, safe break-through braking and a current limiting function can be realized.