1015results about How to "Reduce power loss" patented technology

The invention relates to the technical field of power systems, and discloses a digital twinning-based power grid support performance evaluation system and method. Comprising a data acquisition and processing module, a digital twin model construction and integration module, a multi-scene simulation and prediction evaluation module, an intelligent scheduling and fault prediction module, a multi-source data fusion and big data analysis module, a performance evaluation and optimization decision module, and a visualization and man-machine interaction module. The data acquisition module is used for acquiring real-time states, load data and external environment data of equipment in a physical power grid. Through an intelligent scheduling algorithm, a digital twinborn model and a fault prediction technology, the system can monitor and optimize a new energy access process in real time, solves the challenge of new energy power generation fluctuation on power grid stability, and the algorithm can dynamically adjust power grid load distribution and predict potential faults in advance under the condition of centralized access or fluctuation of new energy. And the stability of power transmission and the safety of equipment are ensured.

The invention provides a wind turbine generator array wake flow management method and system for Doppler laser wind measurement, and relates to the technical field of laser, and the method comprises the steps: collecting the real-time wind speed data, wind direction data and turbulence intensity data of each generator in the front and back direction through deploying a Doppler laser radar in a wind turbine generator array; establishing a wake flow influence model containing a wake flow influence coefficient, an attenuation coefficient and a diffusion coefficient based on the data, and calculating to obtain a wake flow influence range, loss power and a recovery distance; according to the method, the wind turbine generator array is cooperatively controlled, and the power generation efficiency of the wind turbine generator array is optimized by adjusting the yaw angle or the pitch angle of the upstream unit and the rotating speed of each unit. The wind speed data acquisition precision of the wind field is improved, the wake flow influence evaluation accuracy is enhanced, and the overall power generation efficiency of the wind field is remarkably improved.

The invention discloses an emergency power supply quick access method based on scene recognition, which relates to the technical field of emergency power supplies, and comprises the following steps: in an emergency power supply system, firstly obtaining electrical input parameter information through a preset detection frequency; by introducing a load change evaluation mechanism based on machine learning, the system can identify load fluctuation in real time and dynamically adjust the detection frequency, and the response speed to the rapid change of the load is improved. Compared with a traditional detection method, the load state is intelligently evaluated and accurately divided, it is ensured that the power factor is adjusted in time when the load fluctuates violently, and power loss and waste are reduced. Correction is carried out according to the traditional frequency during stable load fluctuation, the frequency is dynamically adjusted during rapid fluctuation, the electric energy use is optimized, the electric power quality is improved, and harmonic distortion and overload risks are reduced.

The invention is suitable for the technical field of charging piles, and particularly relates to a charging pile power distribution method and device, equipment and a medium. According to the method, the current charging demand of a target charging pile is collected in real time, when the current charging demand is larger than the charging demand at the last collection moment, the first target number of power modules needing to be added is determined, a first path set of the target charging pile and each remaining available power module is obtained, and according to a preset limiting condition, the first path set is determined; screening the first path set to obtain a screened path set, determining the weight of the corresponding path according to the path parameter of each path in the screened path set, determining a target path according to the first target number and the weight of each path in the screened path set, and controlling the target path to be conducted, according to the invention, the power distribution is dynamically optimized according to the actual charging demand and the power supply condition, so that the charging efficiency can be effectively improved, and the power loss is reduced.

The invention relates to the technical field of emergency mobile power supplies, and discloses a control method of an emergency mobile power supply and the emergency mobile power supply, and the method comprises the steps: carrying out the operation parameter data collection and adaptive wavelet transform noise reduction of the emergency mobile power supply, and obtaining a standardized feature matrix; performing hierarchical feature extraction through an extended convolutional capsule network to obtain global power supply features and local power supply features; establishing a deep deterministic strategy network for power supply state scoring to obtain a state scoring result; inputting historical data in the experience playback pool into an action generation module, performing optimization iteration on the control action to obtain a first control strategy, and recording state transition data in a control process; and carrying out power loss compensation control analysis to obtain compensation control quantity, superposing the compensation control quantity to obtain a second control strategy, carrying out PWM (Pulse Width Modulation), and generating a charging and discharging control signal. According to the invention, accurate power regulation and energy storage unit control are realized, and stable operation of the system is ensured.

The invention discloses a method and a system for establishing a comprehensive load model containing a distributed power supply, and relates to the technical field of load model establishment, after the establishment system obtains power system information through an API interface, a topological graph model of a power system is established, each component in the power system is abstracted as a node and an edge in the topological graph model, and the topological graph model is established; after simulation software is used for conducting simulation detection on the topological graph model, a target value of the topological graph model is calculated through an objective function, an optimal path between nodes is updated through a path algorithm, current distribution of edges is adjusted through a graph cut algorithm, power loss is reduced, overload is avoided, the steps are repeated for multiple iterations, and when convergence conditions are met, the optimal path is obtained. And outputting the final topological graph model as a comprehensive load model. The system can optimize the targets at the same time through a graph optimization algorithm, improves the overall benefits of the system, and overcomes the defect that the complexity of the power system cannot be comprehensively considered in single target optimization.

The invention discloses a multistage safety response control method of an industrial and commercial liquid cooling energy storage system, and relates to the technical field of electric energy storage systems, a sensor network collects an operation state data time sequence matrix, and abnormal data cleaning is carried out on the time sequence matrix; the method comprises the following steps: preprocessing a vibration signal of a cooling system, extracting characteristic data of abnormal vibration through Fourier transform and energy distribution analysis, and positioning a time-frequency distribution abnormal region; generating a time sequence multivariable data set according to the characteristic data of the abnormal vibration, determining a cause label according to the fused time sequence multivariable data set, obtaining the inherent frequency and the resonant frequency of the cooling system in combination with simulation analysis, and matching and determining the cause of the abnormal vibration; an LSTW neural network is used for predicting the abnormal resonance risk, and corresponding countermeasures are taken for the cooling network according to the prediction result; unnecessary vibration caused by error adjustment is avoided, the relation between cooling efficiency and safety is balanced, and unnecessary power loss is reduced.

The invention discloses a twisting clamping refrigerating and heating device with cold and hot end separation and work recovery functions. The twisting clamping refrigerating and heating device comprises a stator module, a rotor module and a heat exchange module. The stator module comprises an inner gear and an outer gear, and teeth are arranged on partial edges of the inner gear and the outer gear. The rotor module comprises a torsion clamping refrigerant and a loading gear; the heat exchange module comprises an inner cylinder and an outer cylinder. And the loading gear revolves to drive the torsion clamping refrigerant to change the heat exchange position, and rotates to drive the torsion clamping refrigerant to be loaded and unloaded. When the loading gear is meshed with the inner gear, the loading gear rotates in the forward direction, and the torsion clamping refrigerant generates heat due to loading; when the loading gear is meshed with the outer gear, the loading gear rotates reversely, and the torsion clamping refrigerant absorbs heat due to unloading. According to the device, a heat exchange area is effectively separated, the problem of mutual interference of cold and heat is avoided, and the heat exchange efficiency and power are greatly improved; the resilience force generated when the torsion clamping refrigerant is unloaded is transmitted to the loading area, auxiliary power is provided for the loading process, recycling of work is achieved, and the energy utilization efficiency is improved.

The invention provides a photovoltaic array optimization generation method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating a target inclination angle of a photovoltaic module unit in a target photovoltaic power station based on meteorological data and factory site geographic data of the target photovoltaic power station; obtaining an inverter type of a target photovoltaic power station, and determining a target number of photovoltaic module units connected with each inverter according to the inverter type; according to the factory site geographic data, calculating a target distance between the photovoltaic module units; and inputting the target inclination angle, the target number and the target spacing into an array optimization model for array optimization, and generating an optimized array of the target photovoltaic power station. Compared with the prior art, according to the embodiment of the invention, illumination absorption is maximized through the target inclination angle obtained through calculation, so that the power generation efficiency is improved; and the target inclination angle, the assembly number and the spacing are input into the array optimization model, so that a scientific basis can be brought to the design of the photovoltaic power station, and the overall performance and economic benefits of the system are further improved.

The invention relates to the technical field of solar cells, and particularly discloses a back contact solar cell, a cell module and a photovoltaic system, and the cell comprises a silicon substrate which is provided with a light receiving surface and a backlight surface which are opposite to each other; a doping layer and an electrode layer are sequentially arranged on the backlight face in the direction away from the light receiving face, the doping layer comprises N-type doping layers and P-type doping layers which are alternately arranged at intervals, the electrode layer comprises N-type electrodes and P-type electrodes, the electrical conductivity of the silicon substrate, the electrical conductivity of the P-type doping layers and the electrical conductivity of the N-type doping layers are sequentially increased, and the electrical conductivity of the P-type doping layers and the electrical conductivity of the N-type doping layers are sequentially increased. When the silicon substrate is a P-type silicon substrate, the total length of all the N-type electrodes is greater than the total length of all the P-type electrodes; when the silicon substrate is an N-type silicon substrate, the total length of all the P-type electrodes is larger than the total length of all the N-type electrodes. Separation of photo-generated electron hole pairs and collection of current can be enhanced, series resistance can be effectively reduced, power loss in the cell is reduced, filling factors are improved, meanwhile, the effective power generation area of the silicon substrate is increased, more photo-generated carriers are generated, short-circuit current is improved, and the conversion efficiency of the cell is effectively improved.

A solar cell includes a cell substrate, a plurality of collector electrodes, a plurality of bus electrode segments, and a plurality of columns of interconnects. The battery substrate has a target surface. The current collection electrodes are arranged on the target surface, extend in the first direction and are distributed at intervals in the second direction intersecting with the first direction. The bus electrode section is located on the target surface and extends in the second direction. And each row of interconnection parts extend along a second direction, and the interconnection parts are arranged on the current collection electrodes. The bus electrode section extends in the second direction and is located in the upper end edge area and / or the lower end edge area of the target surface. On the target surface, the number of the bus electrode sections is smaller than two times of the column number of the interconnection parts, and / or the length of at least one bus electrode section is smaller than or equal to 5.3 mm, and / or the weighted average width of at least one bus electrode section is smaller than or equal to 0.29 mm. And by reducing the number of the bus electrode sections, the current collection electrode can collect current carriers to the maximum extent, and the conversion efficiency of the battery is improved. The utility model also provides a photovoltaic module comprising the solar cell.

The utility model relates to the field of circuit protection, in particular to a contactor integrated with an excitation function, and an excitation ignition assembly, a first piston, a first conductive part, an auxiliary contact system, a push rod, a melt, an air passage, a second piston and an elastic part are integrated in the contactor. The melt and the auxiliary contact system are connected in series and then are connected in series between the two static contacts. In a normal working state, the auxiliary contact system is insulated and disconnected, when an overload current, a short-circuit current or an abnormal condition occurs, the ignition assembly is excited to act to drive the first piston and the first conductive piece to move, the first conductive piece enables the auxiliary contact system to be conducted and closed, and the melt is connected into a main loop in a parallel connection mode; and then the second piston and the elastic piece are driven to displace through the air passage, so that the contact system is switched off, the elastic piece generates irreversible deformation, and the first piston and the first conductive piece push the push rod to disconnect the melt. According to the invention, the power loss is low, zero-current cut-off of a main loop can be realized, and the breaking capacity and the breaking reliability are improved.

The invention belongs to the technical field of satellites, and discloses a centralized photovoltaic power station capacity prediction method and system based on a satellite image and topographic data, and the method comprises the steps: carrying out the recognition of a Sentinel remote sensing image, obtaining a photovoltaic distribution position after photovoltaic automatic recognition according to the spectral characteristics, including the mean value of each spectral band, NDVI, NDWI and other indexes, and carrying out the prediction of the capacity of a photovoltaic power station. Meanwhile, elevation data provided by DEM images are integrated to calculate a topographic slope value, then influence factors such as photovoltaic image area, inclination angle, direction angle and installation spacing are calculated by using parameters such as image resolution and geographic latitude, and finally, parameters such as known photovoltaic scale and photovoltaic materials are combined to obtain a photovoltaic power generation system. And a prediction model of the capacity of the centralized photovoltaic power station is constructed with the installation capacity of a small number of known photovoltaic power stations, so that accurate prediction from the image area of the photovoltaic power station identified by the satellite image to the actual installation capacity is realized. The method comprehensively considers the influence of the direction angle, the inclination angle, the installation spacing and the like of the photovoltaic power station on the actual installation capacity, is suitable for mountainous and hilly areas with complex terrains, improves the problem of inaccuracy of a method for estimating the capacity based on the projection area, and provides a scientific basis for the capacity evaluation of the photovoltaic power station.

The embodiment of the invention relates to the field of photovoltaic technology, and provides a back contact photovoltaic module, which at least can improve the efficiency of the back contact photovoltaic module. The back contact photovoltaic module comprises a battery body and an insulating part, a first surface of the battery body is provided with a plurality of main grids and a plurality of fine grids, and the plurality of fine grids comprise first fine grids and second fine grids which extend along a first direction and are alternately distributed along a second direction; the plurality of main grids comprise first main grids and second main grids which extend along the second direction and are alternately distributed along the first direction, and each main grid comprises a main grid body and a welding part which are alternately connected; the insulating parts are located on the first surface and at least cover the ends, close to the second main grids, of the first fine grids and the ends, close to the first main grids, of the second fine grids, and the insulating parts located on the two sides of the main grid body in the first direction and closest to the welding parts are first insulating parts. The rest of the insulating parts located on the two sides of the main grid body in the first direction are second insulating parts, and the distance between the first insulating parts is smaller than the distance between the second insulating parts in the second direction.

The invention discloses a distributed photovoltaic grid management method and system, and relates to the technical field of distributed photovoltaics, a distributed photovoltaic efficiency analysis module of the system monitors and evaluates the power utilization efficiency Psys of the whole system in real time by constructing a power efficiency formula, and compares the power utilization efficiency Psys with a preset efficiency threshold value X. When the operation efficiency of the system is lower than a set threshold value, the intelligent scheduling and energy distribution module starts an optimization strategy according to an electric power balance scheduling analysis result, redistributes electric power supply, preferentially meets a high-demand area or an area with insufficient energy storage, and ensures electric power supply and demand balance. According to the system, through an intelligent scheduling algorithm, power distribution is flexibly adjusted based on the priority factor of each micro-grid unit, and the operation efficiency of the system is improved. An intelligent feedback and iterative scheduling mechanism enables the system to still maintain efficient operation under continuously changing load and power generation conditions, power loss is reduced, resource waste is reduced, and the overall power utilization rate is improved.

The invention relates to the technical field of photovoltaic power station management, in particular to an intelligent management platform and method for ultra-high altitude photovoltaic equipment. The platform integrates a plurality of subsystems of data acquisition, big data analysis, intelligent IV diagnosis, intelligent operation and maintenance and the like, and aims to realize efficient and intelligent management of photovoltaic power station equipment. According to the invention, efficient and accurate operation and maintenance management of the high-altitude mountain photovoltaic power station is realized through intelligent and digital means.

The invention discloses an electric power marketing digital inspection method and system, and relates to the technical field of electric power marketing. According to the main technical scheme, the method comprises the steps of obtaining real-time power data of a designated area, wherein the real-time power data comprises real-time power consumption data fed back by an intelligent electric meter and real-time power transmission data fed back by a sensor installed at a key node of a power grid; obtaining an inspection result corresponding to the real-time power data by using a preset inspection model, wherein the inspection model is used for identifying a potential abnormal behavior corresponding to the real-time power data based on the feature representation of the real-time power consumption data and the real-time power transmission data; and if the potential abnormal behavior exists in the inspection result, triggering a corresponding power adjustment measure according to a behavior type corresponding to the potential abnormal behavior. The main purpose is to improve the accuracy of power marketing inspection and reduce power loss. The method and the device are used for performing digital inspection on power marketing.

The invention discloses a transformer structure and a radio frequency front end module, the transformer structure comprises a secondary coil and M primary coils, the M primary coils are sequentially spaced, and each primary coil surrounds the periphery of a specified point; the first end of each primary coil is configured to be connected to a first signal end, and the second end of each primary coil is configured to be grounded or connected to a power supply port. The secondary coil and the M primary coils are located on the same metal layer, and at least part of the secondary coil is wound in a gap formed by the M primary coils; the first end of the secondary coil is configured to be connected to a second signal end, and the second end of the secondary coil is configured to be grounded. The M primary coils are connected in parallel, so that the equivalent inductance value of the primary coils is reduced, the inductance value ratio between the secondary coils and the primary coils is increased, and the large impedance conversion ratio is achieved.

The invention relates to a distributed photovoltaic power station main converter and a control method thereof, and belongs to the field of photovoltaic power generation. The main current transformer comprises a T-type three-level current transformer and a Buck-Boost current transformer; the T-type three-level converter comprises three bridge arms, two output capacitors and the like; each bridge arm is provided with four power switch tubes; the two output capacitors are connected in series, and the connection point is called as the midpoint O of the T-type three-level converter. And one end of a direct-current inductor of the Buck-Boost converter is connected with the midpoint O. The T-type three-level converter adopts PI control and a carrier pulse width modulation strategy to realize alternating current side current harmonic wave minimization of the T-type three-level converter; the Buck-Boost converter adopts a PI control method to realize neutral-point potential automatic balance control. The method is small in current harmonic wave, low in cost and simple to control, and can realize quick and automatic balance of the neutral-point potential, thereby effectively coping with the influence of illumination and power grid voltage fluctuation on system control, and realizing quick and stable control of the distributed photovoltaic power station.

The invention discloses a wind turbine generator blade clearance monitoring, error evaluation and threshold optimization method and system, and the method comprises the steps: monitoring a blade clearance value of a wind turbine generator in real time through clearance monitoring equipment, and synchronously measuring a distance value from a blade tip to a tower wall in the wind turbine generator through an installed calibration radar. And comparing the blade clearance value measured at each time point in the time period with the distance value, and determining clearance difference values corresponding to different time points. Statistical analysis is carried out on the clearance difference values corresponding to all the time points in the specified time range, the clearance difference mean value in the time range is determined, and the clearance monitoring error of the wind turbine generator can be evaluated and the clearance alarm threshold value can be optimized through the clearance difference mean value. Therefore, the influence of factors such as cabin glass fiber flatness, a cabin inclination angle, a clearance equipment installation angle and a tower drum inclination angle on clearance alarm monitoring is eliminated, and the power generation loss caused by clearance false alarm is effectively reduced.

The invention belongs to the technical field of inductance parameter extraction, discloses an efficient extraction and layout optimization method and system for parasitic inductance parameters of a power semiconductor module, and realizes efficient interaction of simulation data among software based on powerful simulation capabilities of commercial software ANSYS and MATLAB and a joint simulation interface. And convenience is provided for extracting module parasitic inductance parameters and current sharing characteristics. An effective algorithm for analyzing parasitic inductance parameters and current sharing characteristics is applied, scientific guidance is provided for optimizing module layout, and the method has the following remarkable advantages that compared with a method of'artificial experience + hardware debugging ', an efficient simulation development means is adopted, frequent hardware iteration in manufacturing and verification links can be avoided, and the method has the advantages that development cost is reduced, and efficiency is improved. Therefore, the research and development efficiency of the multi-chip silicon carbide power module is improved, and the advantages of higher quality and flexible development of the multi-chip silicon carbide power module are better supported.

The invention discloses a trapezoidal wave operation method of a T-type direct-current transformer. The method comprises the following steps: step 1, designing waveform constraint conditions of a multi-phase T-type direct-current transformer; 2, designing an alternating current waveform of the three-phase T-type direct current transformer; and 3, designing the optimal alternating current waveform of the three-phase T-type direct current transformer. The problems of low voltage and current utilization rate and high current stress caused by the fact that the T-type direct-current transformer adopts a sine operation mode are solved, the power capacity of the T-type direct-current transformer is remarkably improved, and the T-type direct-current transformer topology can be applied to high-voltage and high-capacity occasions. On the premise that the topological structure and the number of devices of the T-type direct-current transformer are not changed, the transmission power capacity of the T-type direct-current transformer is remarkably improved, the power loss of the devices is reduced, and the T-type direct-current transformer has great significance in topological application of an existing T-type direct-current transformer.

The invention relates to the technical field of power distribution network regulation and control, in particular to a power distribution network intelligent regulation and control system for high and low voltage power transmission, comprising a global optimization layer module which is responsible for global regulation and control of the whole power distribution network and comprises a global data acquisition unit, a global data processing unit and a global control unit; the regional optimization layer module is used for performing intra-regional optimization regulation and control on the plurality of divided regions according to geographic distribution and load characteristics of the power distribution network, and the regional optimization layer module comprises a plurality of regional data acquisition units, a regional data processing unit and a regional control unit; and the adaptive learning module adaptively optimizes global and regional regulation and control strategies through a machine learning algorithm according to historical data and real-time data in operation of the power distribution network, and the adaptive learning module comprises a data training unit and a model updating unit. According to the invention, the multi-level regulation and control mode can effectively reduce the power loss in the region, and improves the overall operation efficiency of the power grid.

The invention discloses a mountainous region photovoltaic panel strong-wind-resistant swing suppression device which comprises a fixed base provided with a plurality of mounting holes, a stand column assembly with one end rotatably connected with the fixed base, a photovoltaic panel mounting frame comprising a plurality of transverse supporting beams and longitudinal supporting beams, and a windproof inhaul cable assembly comprising at least three inhaul cables. And the wind direction sensor is mounted at the top of the photovoltaic panel mounting frame. Comprising the following steps of site preparation, fixed base installation, stand column assembly installation, photovoltaic panel installation frame assembling and installation, windproof inhaul cable assembly installation, sensor and controller installation and debugging and detection. The height and the angle of the stand column assembly can be flexibly adjusted according to the actual terrain and installation requirements, and it can be ensured that the device achieves the expected strong-wind-resistant swing restraining effect through debugging and detection steps after installation.

The invention aims to provide a new energy high-frequency wire harness design method based on electromagnetic compatibility optimization, and relates to the technical field of new energy, and the method comprises the steps: 1, building a new energy high-frequency wire harness type electromagnetic source model, and obtaining the electromagnetic source intensity; calculating a spatial electromagnetic field intensity based on the electromagnetic source intensity; step 2, calculating equivalent transmission line parameters based on the space electromagnetic field intensity; based on the equivalent transmission line parameters, frequency-dependent characteristic impedance is calculated; step 3, calculating crosstalk voltage according to the frequency-variable characteristic impedance; calculating a radiation field of the new energy high-frequency wire harness; calculating the shielding effectiveness of the new energy high-frequency wire harness according to the radiation field; 4, according to the step 1, the step 2 and the step 3, constraint conditions are set, an objective function under the constraint conditions is established, and the objective function is solved through iteration to find the corresponding optimal design parameter vector of the new energy high-frequency wire harness. According to the invention, the transmission stability and the anti-interference capability of the new energy high-frequency wire harness are significantly improved.

The invention discloses a distributed K-H-V type involute joint module with a small tooth difference. The distributed K-H-V type involute joint module is applied to a joint on a snakelike mechanical arm. The joint module is composed of three sets of rotary driving units, a rack, an inner gear and an outer gear, in the transmission process, the eccentric shaft rotates to drive the inner gear to output at the rotating speed, and then the outer gear translates. The three groups of rotary driving units are respectively mounted in through holes formed in the inner gear and the outer gear at equal intervals; the rotary driving unit is matched with a bearing, an outer gear and an inner gear through a small motor, so that the space utilization rate of the joint module is increased; and in addition, by reducing transmission links, the power loss of the joint module is reduced, so that the joint module has the characteristics of small size and high output efficiency on the basis of having the characteristics of high rigidity and large transmission ratio of involute small tooth difference planetary gear transmission.

The invention discloses a photovoltaic array fault detection method based on IV characteristics and a data model, and relates to the technical field of fault detection.The method comprises the steps that firstly, the collection frequency Cp is determined by comprehensively considering the dynamic characteristics, historical faults and the occurrence speed, it is ensured that key fault information is not missed, and then by means of second derivative analysis and squareness calculation of an IV curve, the fault information is obtained; and a data model is combined to accurately identify a local shadow fault, and the situation that previous fault judgment depends on a single index is changed. In the aspect of energy conversion efficiency optimization, a local maximum power point is determined according to a judgment factor Pz and an IV curve, photovoltaic array output and inverter input are dynamically matched, and compared with a traditional fixed matching mode, the power generation efficiency is further improved, and energy waste is reduced. By starting a model verification mechanism, the accuracy and stability of the model can be verified in different scenes and time spans.

The invention belongs to the technical field of wind power gear boxes, and discloses a planetary transmission mechanism and a gear box. The planetary transmission mechanism comprises a planet carrier, a pin shaft, a planet wheel and a follow-up assembly, the pin shaft is rotatably arranged on the planet carrier, and a sliding bearing is arranged on the pin shaft; the planet wheel sleeves the sliding bearing and is in clearance fit with the sliding bearing; the follow-up assembly is arranged between the planet carrier and the pin shaft and has a connection state and a disconnection state; when the follow-up assembly is in a connection state, the pin shaft is fixedly connected with the planet carrier, and the planet wheel rotates relative to the pin shaft; and when the follow-up assembly is in a disconnected state, the pin shaft rotates relative to the planet carrier, and the planet wheel and the pin shaft synchronously rotate. The gearbox comprises the planetary transmission mechanism and can continue to operate under the condition that internal lubrication fails, so that normal operation of the wind generating set is ensured, and the power generation loss of the wind generating set is greatly reduced.

The invention discloses a photovoltaic power generation system maximum power point tracking control method considering time delay, and belongs to the technical field of photovoltaic cell maximum power point tracking control. The method solves the problems that a traditional maximum power point tracking control method is low in tracking precision and low in tracking speed and cannot deal with complex working environments, battery array parameter change and time delay in a system. An averaging method based on time delay is used for averaging a system to obtain an equivalent system, a constant variation formula method based on an ordinary differential equation is used for carrying out quantitative stability analysis on the equivalent system, a quantitative relation between system stability and controller parameters is established, a final controller form is obtained, and the stability of the system is improved. The MPPT tracking control of the photovoltaic cell is realized in a real sense, the tracking precision and the tracking speed are improved, and the power loss of the photovoltaic cell is effectively reduced. The method can be applied to maximum power point tracking control of the photovoltaic power generation system with time delay.

The present application is applicable to the field of vehicle control technology, and provides a four-wheel drive hybrid vehicle control method, device and vehicle. The above-mentioned four-wheel drive hybrid vehicle control method obtains the gear state of the front axle gearbox and the gear state of the rear axle gearbox. When the gear state of the front axle gearbox is in gear shifting, the front axle drive motor needs to provide torque to make the torque at the crankshaft end of the engine zero. At this time, the front axle drive motor is controlled to maintain the current torque ratio to prevent the front axle drive motor from continuously increasing and exceeding the motor capacity to cause power loss. When the gear state of the rear axle gearbox is in gear shifting, the rear axle drive motor cannot continue to output power. At this time, the torque ratio of the front axle drive motor is controlled to be increased to the preset ratio, reducing the loss of vehicle power and improving the stability of vehicle driving.