13results about How to "Loss minimization" patented technology

The invention provides a collaborative optimization method of a mixed water electrolysis hydrogen production system considering seasonal wind and light fluctuation. The method comprises the following steps of: analyzing a wind-solar power frequency spectrum by adopting a variational mode decomposition algorithm, and extracting three intrinsic mode function components of ultrahigh frequency, transition frequency band and ultralow frequency; establishing a multi-time-scale collaborative optimization framework comprising a seasonal scheduling layer, an intra-day optimization layer and a real-time control layer; the ultra-low frequency component is distributed to an alkaline electrolytic bath, and the ultra-high frequency component is distributed to a proton exchange membrane electrolytic bath; an electric-thermal-life multi-field coupling efficiency optimization model is constructed, and multi-objective optimization of efficiency maximization and life loss and operation cost minimization is achieved; and an equipment switching critical point calculation method based on an efficiency curve second derivative and a gradient protection strategy are adopted. The method can effectively improve the adaptability of the system to seasonal fluctuation, the operation economy and the service life of equipment.

This invention discloses a wafer release method for use in a wafer processing system and a wafer processing method. The wafer release method of this invention includes: a polarity reversal step of reversing the polarity of a voltage applied to a chuck; a first transfer step of raising a lifting pin housed in the chuck at a first transfer speed to transfer a wafer supported on the chuck to a first predetermined position; and a second transfer step of raising the lifting pin at a second transfer speed different from the first transfer speed to transfer the wafer positioned at the first predetermined position to a second predetermined position higher than the first predetermined position.

The application discloses a cold region pig house winter stratified energy-saving ventilation method and relates to the technical field of livestock breeding. In order to solve the ventilation problem of the prior art cold region pig house, the method comprises the following steps: according to the pig house space and pig growth stage, a ventilation system is laid out; real-time monitoring of pig house internal environment parameters is taken as a basis; a CFD simulation is used to optimize the air flow path, and then the operation parameters of the ventilation system are regulated; and according to the heat loss in the pig house, the operation of the ventilation system is assisted and optimized. The application provides a dynamic adjustable air supply mechanism based on the breathing height of pigs, through pig house top layer heat recovery and pig house internal air flow stratified interval ventilation, the heat energy loss is effectively reduced, more than 80% of fresh air is accurately delivered to the pig breathing area, invalid ventilation is avoided, the energy saving rate is more than 50%, the energy consumption is reduced, the air quality in the breathing area reaches more than 99% of the standard rate, and the growth environment and health level of the pigs are improved.

The application discloses a kind of hybrid transmission clutch control parameter calibration method, device and vehicle, it is related to automobile power transmission system technical field.Therein, the method includes: based on the first clutch control parameter calibration table, determine the second clutch control parameter calibration table of hybrid transmission in the first working mode;Based on the second clutch control parameter calibration table, determine the third clutch control parameter calibration table of hybrid transmission in the first working mode;Pressure is controlled to clutch based on the third clutch control parameter calibration table.The application solves the technical problems of additional energy loss and efficiency decline caused by improper clutch pressure control in related technologies.

The invention relates to the technical field of intelligent detection of mold damage in the manufacturing industry, in particular to a mold damage identification method based on improved self-adaptive deep embedding clustering, which comprises the following steps of: firstly, acquiring a mold vibration signal or a surface defect image, and performing data enhancement preprocessing of scaling, normalization, random rotation and brightness adjustment; mapping to a low-dimensional embedding space through a deep neural network encoder containing a channel attention mechanism (SENet), optimizing an encoder and clustering center joint target, minimizing KL divergence and reconstruction loss to generate an embedding vector, and determining an optimal parameter through model evaluation; according to the method, the MNIST data set clustering accuracy reaches 99%, the NEU-DET data set defect detection rate reaches 94.2%, the precision reduction amplitude under noise interference is only 4.2%-6.3%, only 2.1 M parameters are needed, the parameter accuracy ratio is optimal, the mold damage recognition precision and robustness are effectively improved, and the method is suitable for complex industrial scenes.

This invention relates to a high-efficiency LLC half-bridge resonant switch controller circuit, comprising a current detection circuit, an oscillation clock generation circuit, a current loss tracking detection circuit, a comprehensive control logic circuit, an input buffer circuit, a feedback voltage detection circuit, a programmable dead time generation circuit, a level shifting circuit, a delay compensation circuit, an over-temperature protection circuit (OTP), an over-current protection circuit (OCP), and a high / low-side output drive circuit. This invention employs dead-time adaptive adjustment technology to improve the efficiency of the LLC half-bridge resonant controller. On one hand, it is controlled by the reference clock (OSC) to set different dead times; on the other hand, it can also respond to external changes in soft-switching losses by adjusting the dead time, thereby minimizing switching losses. This invention also employs load condition mode switching technology, dividing the operating mode into heavy-load and light-load modes based on the state of the voltage signal FB output by the LLC half-bridge resonant converter power system, thereby improving efficiency under light load conditions.

The optical system disclosed in the embodiments may include a first lens to a fifth lens arranged continuously along the optical axis in a direction from the object side to the image side, wherein each of the first lens to the fifth lens includes an object-side surface and an image-side surface, the effective aperture size of the image-side surface of the first lens is larger than the effective aperture size of the object-side surface of the first lens, and the thickness of the first lens is smaller than the thickness of the second lens.

The invention relates to the technical field of intelligent power grids and industrial automation control, in particular to a DC power supply coordination control system based on industrial big data. The system comprises a multi-dimensional heterogeneous data sensing module, a feature mapping module, a multi-target collaborative decision-making module and a self-adaptive execution module. The system constructs a load characteristic and electric energy quality correlation model based on the operation state and the power consumption demand, outputs dynamic electrical characteristics and sensitivity characteristics, and solves a power distribution instruction by taking power grid quality, load balance and efficiency as cooperative targets; according to the method, a perception decision-making framework crossing an electrical domain and a physical domain is constructed, hidden physical layer states such as impedance drift are mined through deep learning, the problem that a load physical state is ignored and production quality is disjointed in traditional control is solved, and the industrial yield and energy efficiency are improved while the quality of a power grid is guaranteed.

The present invention relates to a supply material automatic replacement device and an automatic replacement method, and a supply material automatic replacement device according to one embodiment of the present invention includes: an ejection unit that ejects a supply material to the outside; a pair of supply units that are disposed adjacent to the ejection unit and are provided with a supply roller on which the supply material is wound; and a pair of material connection units that are respectively disposed in the pair of supply units and are connected to a front end of a first supply material that is waiting in a first supply unit that is one of the pair of supply units and a rear end of a second supply material that is being transferred to the ejection unit in a second supply unit that is the remaining one of the pair of supply units.

The application provides a Nash equilibrium estimation method under time delay, which comprises the following steps: acquiring a system with n intelligent agents, constructing a time delay model of the system, converting the estimation of the deviation of Nash equilibrium under time delay into the upper limit of the deviation of the convergence value of the projection-free distributed gradient method under time delay according to the time delay model, determining the relationship between the perron vectors of the adjacent matrix of the system before and after the time delay is added, and determining the estimation result of the upper limit according to the relationship. The application has the beneficial effects that the upper limit of the deviation of the convergence value of the gradient algorithm under the time delay is estimated, the deviation under different time delays is analyzed according to the upper limit, the loss caused by the time delay is minimized, and more definite information is provided for system optimization and resource allocation.

An air conditioner including a refrigerant module includes a module housing and a first refrigerant chamber and a second refrigerant chamber formed in the module housing. The second refrigerant chamber is disposed adjacent to the first refrigerant chamber. The refrigerant module includes a first inflow flow path and a first discharge flow path formed in the module housing and fluidly connected to one of the first refrigerant chamber and the second refrigerant chamber. The refrigerant module also includes a second inflow flow path and a second discharge flow path formed in the module housing and fluidly connected to the other of the first refrigerant chamber and the second refrigerant chamber. The refrigerant module also includes an expansion valve disposed in the module housing and fluidly connected to the first discharge flow path, an expansion flow path formed in the module housing for the refrigerant expanded in the expansion valve to flow through, and a connection flow path formed in the module housing for fluidly connecting a compressor and a condenser.

The present disclosure relates to an induction heating type cooktop. The induction heating type cooktop includes a housing, a cover plate connected to an upper end of the housing and provided with an upper plate portion on which an object to be heated is disposed, a thin layer coated on the upper plate portion, a thermal insulator disposed below the thin layer, a work coil disposed inside the housing, a work coil cooling fan configured to blow air toward the work coil, and a bracket provided with a cooling passage in which air blown by the work coil cooling fan passes through the work coil and is discharged.

The invention discloses a self-powered silicon carbide intelligent power module with boost and negative voltage, and solves the problems of high conduction internal resistance, large switching loss and incomplete turn-off caused by the fact that an existing intelligent power module (IPM) is not integrated with a boost or step-down chip and cannot provide optimal working voltage for a SiC MOSFET (Metal-Oxide-Semiconductor Field Effect Transistor). The intelligent power module comprises an insulating heat dissipation substrate, a lead frame, a power device and a passive element which are integrated on the heat dissipation substrate, and a driving and power conversion chip integrated on the lead frame, the power device comprises a SiC MOSFET, an IGBT, a SiC SBD and an FRD, the passive element comprises a sampling resistor, an inductor and a capacitor, and the driving and power supply conversion chip comprises an HVIC, an LVIC1, an LVIC2, a Boost converter and a Buck converter. By means of the internally-integrated power conversion circuit, 18V positive voltage and-3V negative voltage can be generated only through 15V external power supply, the optimal driving requirement of the SiC MOSFET is met, meanwhile, the conventional driving voltage of the IGBT is reserved, and the power conversion circuit is suitable for motor driving and inversion systems in the fields of consumer household appliances, industry, new energy and the like.