154 results about "Maximum efficiency" patented technology

The invention relates to the technical field of power system operation or management, in particular to a partial discharge monitoring strategy optimization method and system based on dynamic resource allocation, and the method comprises the steps: constructing a three-stage monitoring system comprising a sensor node, a sink node and a cloud processing center, firstly initializing monitoring parameters, and then obtaining system state information periodically or in a triggering manner, calculating the risk level of each monitoring point in combination with a dynamic risk evaluation model; constructing an efficiency-maximized resource allocation optimization model based on risk levels and resource constraints, solving an optimal scheme by adopting an improved multi-target particle swarm algorithm, and issuing the optimal scheme to each node to adjust monitoring behaviors to form closed-loop optimization; and meanwhile, model parameters are dynamically updated through an online learning mechanism. According to the method, dynamic matching of risks and resources is realized, the monitoring accuracy and the resource utilization rate are improved, the adaptability of the system to the equipment state and the environment change is enhanced, and the method is suitable for partial discharge monitoring scenes of various power equipment.

The invention relates to the technical field of torque converters, in particular to a hydrodynamic transmission power chain optimization method and system.The method comprises the steps that a hydrodynamic torque converter parameterized geometric model is built, and a pump impeller blade outflow angle, a guide wheel runner input / output angle, turbine blade geometric parameters and the relative position of a pump impeller and a turbine are set as design variables; based on CFD three-dimensional flow field simulation, a k-epsilon model is adopted for rapid analysis, an SST model is adopted for transient simulation, and simulation data under different variable combinations are obtained; training a BP neural network by using the simulation data, inputting each design variable, and constructing a multi-target optimization model with maximization of efficiency and minimization of noise as targets; a design variable combination is selected in the Pareto optimal solution set, a model is reconstructed, and an optimized hydraulic torque converter is obtained; according to the method, the problems that the design optimization efficiency of the hydraulic torque converter is low, the parameter adjusting period is long, and good compromise between the transmission efficiency and noise suppression is difficult to obtain can be solved.

Provided is a heat gun formed by wave-type heating bodies. The heat gun includes a housing assembly and a heating assembly mounted in the housing assembly, where an air supply assembly is fixedly mounted in the housing assembly. The heating wire is wound into a wave-type structure by dedicated equipment. Compared with a traditional slingshot-wire-type structure, the wave-type structure is capable of resisting deformation of the heating wire at a high temperature and in a process from a high temperature to a normal temperature such that defects caused by thermal expansion and contraction when the heating wire operates or stops can be avoided. After the wave-type structure of the heating wire is wound around a mica plate, a direction of the wave-type structure is exactly perpendicular to a direction of an air channel such that wind generated by a fan behind can blow out heat with maximum efficiency.

The invention discloses a light-storage-hydrogen direct current micro-grid coordination control method based on maximum efficiency point tracking, and belongs to the field of photovoltaic hydrogen production system optimization control. The method comprises the following steps: 1, establishing a photovoltaic system power generation model, a storage battery voltage stabilization model and an AWE actual operation model; 2, based on the AWE efficiency characteristic curve, adopting a particle swarm optimization algorithm to track voltage and current values corresponding to the maximum efficiency point of the AWE at different temperatures; 3, designing a photovoltaic system control strategy, a storage battery control strategy and an AWE control strategy based on sliding mode variable structure control; and 4, designing a plurality of coordination control strategy scenes in combination with voltage and current values corresponding to the maximum efficiency point of the AWE at different temperatures, so that the light-storage-hydrogen direct current micro-grid operates under various working conditions. The high electric energy utilization rate of direct coupling and the hydrogen production continuity of indirect coupling are combined, the energy conversion efficiency of the system is improved, and the current ripple is improved.

The invention provides a wireless electric energy transmission system suitable for an industrial environment, and solves the limitation of an industrial sensor in traditional wired charging and complex industrial environments. According to the system, constant voltage output and maximum efficiency tracking (MET) control are realized under the conditions of load change and coupling coefficient fluctuation by accurately adjusting the duty ratio D of a DC-DC converter at a transmitting end and the phase shift angle alpha of a semi-active rectifier (SAR) at a receiving end. The optimized control strategy enables the system to stably operate in a dynamic environment, ensures efficient and stable charging, and reduces the risks of wired interface damage and unstable charging. Compared with traditional wired charging, the wireless charging device overcomes the adaptability problem in severe environments such as high temperature, high humidity, high vibration and narrow space, avoids complex cable layout and maintenance cost, is widely applied to the fields of industrial sensors, power equipment and the like, is particularly suitable for scenes needing efficient wireless charging and constant voltage output, and has wide application prospects. The equipment operation stability and the production efficiency are improved.

The invention relates to a machine learning and physical priori knowledge constraint-based double perovskite halide material layer-by-layer screening method, equipment and a medium, and aims at solving the problems of low efficiency, large candidate space and insufficient multi-performance balance of a traditional data-driven screening framework, and constructing a cascade screening method taking spectral maximum efficiency (SLME) as a guide. Discovery of a high-precision photovoltaic material is realized through a progressive decision chain strictly following the sequence of space group symmetry, SLME, band gap characteristics and thermodynamic stability. A candidate material space is constructed based on an element coordination environment and a charge neutrality principle, the structural stability is primarily screened by using a new tolerance factor, then layer-by-layer screening is performed sequentially through a machine model, and finally a high-performance material is screened out. Compared with the prior art, the invention provides a layer-by-layer screening method which takes SLME as a core and is constrained by physical priori knowledge, and multi-dimensional efficient screening from structure, optics, electricity to stability is realized.

The invention belongs to the technical field of LCC-S wireless charging, and particularly relates to an optimization method and system for realizing maximum efficiency of a wireless charging system, parameter optimization is performed on the system by using a proposed improved parrot algorithm, and maximum efficiency optimization is realized by designing a loose coupling transformer according to the optimized parameters. One side of the circuit structure is composed of a full-bridge inverter and an LCC topological structure and comprises four switching tubes, and a secondary side is composed of a rectification structure and a DC-DC converter. According to the method, the wireless charging system of the LCC-S topology is established, the improved parrot algorithm is combined with the wireless charging technology, the charging system with the maximum efficiency optimization is designed and developed, on one hand, the actual requirements of some special application occasions can be met, and the application field of the wireless charging technology is expanded; and on the other hand, energy conservation and environmental protection are achieved.

The utility model discloses a screw cap type automatic glue discharge brush, which comprises a screw cap, a fixed head and an insertion type glue discharge component, an assembly seat is fixedly connected to the top of the fixed head, a first glue discharge nozzle is arranged at the top of the assembly seat, and a plurality of first insertion holes are arranged at the top of the assembly seat in an array manner. Therefore, the rotary cover can be conveniently replaced on the glue bottle by rotating the rotary cover, meanwhile, the brush can be conveniently and correspondingly replaced through the assembling base, the first glue outlet nozzle and the first inserting hole, the bearing base can be conveniently replaced through mutual clamping of the first clamping plate and the second clamping plate, and therefore the brush can be replaced, and the glue bottle can be conveniently replaced. Therefore, detachable connection between the screw cap and the glue bottle is allowed, a user can conveniently install or replace the screw cap, meanwhile, the brush can be conveniently cleaned or replaced, the service life of a product is prolonged, waste is reduced, maximum efficiency and cost effectiveness of glue use can be achieved, and meanwhile the requirement for environmental protection is met.

The embodiment of the invention discloses a control method and device of a wireless power transmission system, equipment and a storage medium, the wireless power transmission system at least comprises a transmitting end and a receiving end which are in communication connection, and the method is applied to the receiving end. The method comprises the steps of obtaining an output voltage of a receiving end, an output voltage reference value and an estimated value of a first pulse density instruction of a transmitting end, wherein the output voltage is used for reflecting voltages at two ends of a to-be-powered load; determining an internal control quantity by using the output voltage, the output voltage reference value and a preset proportional-integral controller; determining a second pulse density instruction of the receiving end according to the estimated value and the internal control quantity; and sending the second pulse density instruction to the transmitting end. The power efficiency decoupling control method is realized through the method, the pulse density of the transmitting end can follow the receiving end, the interference of maximum efficiency tracking on voltage control is avoided, and the speed of the MEPT is improved.

The invention provides an efficient and stable wireless charging method suitable for a pressure-bearing lithium battery, and solves the problems that an existing maximum efficiency tracking control method has the defects of being high in time complexity, low in solving speed and low in maximum tracking speed, and the charging process is inaccurate due to the fact that parameters of the pressure-bearing lithium battery are affected by pressure. According to the invention, the improved perturbation observation-golden section algorithm is adopted to realize rapid maximum efficiency tracking and stable control of the pressure-bearing lithium battery. The method comprises the following steps: firstly, comparing a current solution with a previous solution and a next solution, and if the current solution is superior to the previous solution and the next solution at the same time, determining an interval in which an optimal solution is located; secondly, maximum efficiency tracking is carried out through a golden section search algorithm; the time complexity of the golden section search algorithm is generally O (log n), and n is the dimension of a solution space. Therefore, the high-efficiency stability of wireless charging of the pressure-bearing lithium battery can be improved to a certain extent by adopting the perturbation observation-golden section method.

The present invention is related to a sample heat exchanger module (200) for a freeze-dryer system (100) comprising - a first heat exchange element (201) made of thermally conductive material and comprising • a top surface (202); and • a plurality of straight passages (203, 204, 205) extending in different directions through the first heat exchange element (201), the passages being parallel to the top surface (202) and intersecting at the interior of the first heat exchange element (201); - a first cold source (206) comprising a cold end (207) with a maximum efficiency zone (208) that is in thermal contact with the first heat exchange element (201); and - a first heat source (209) comprising a maximum efficiency zone (210) in thermal contact with the first heat exchange element (201); wherein the straight passages (203, 204, 205) are arranged between the top surface (202) and the maximum efficiency zones (208, 210) of the first cold source (206) and the first heat source (209), and wherein the first cold source (206) and the first heat source (209) are controllable by a control unit (102) to decrease or increase the temperature of the first heat exchange element (201).

The invention discloses an optimal control method for load shedding water hammer pressure of a pumped storage power station containing a fixed-variable speed unit. The method comprises the following steps: firstly, based on a pump turbine full-characteristic curve, performing variable-speed unit efficiency optimization, and determining the highest efficiency of a variable-speed unit and the corresponding optimal rotating speed; then, establishing a transition process mathematical model of the water delivery and power generation system of the pumped storage power station containing the constant-variable speed unit, and calculating Pareto leading edges taking the maximum pressure of a volute and the minimum pressure of a draft tube as optimization targets under different control schemes by adopting different guide vane closing rules for the constant speed unit and the variable speed unit; and finally, carrying out normalization processing on the maximum pressure of the volute and the minimum pressure of the draft tube, establishing a transient characteristic multi-target evaluation function, and screening out an optimal control scheme from the Pareto frontier. By means of the method, the water hammer pressure extreme value caused by hydraulic interference between the constant-speed unit and the variable-speed unit can be effectively improved, the operation stability and safety of a power station are improved, and good engineering adaptability is achieved.

The application discloses a kind of fuel cell centrifugal air compressor optimization design methods based on advanced analysis, first build centrifugal air compressor performance test platform, then test to a certain centrifugal air compressor, establish its numerical calculation model and simulation, then the test value and simulation value of performance parameter are compared and analyzed;After verification, the analysis model and advanced analysis model of the centrifugal air compressor are established;Finally, the structural parameters of centrifugal air compressor are modified, the numerical calculation model of centrifugal air compressor with different structural parameters is established and simulated;Then the analysis model and advanced analysis model of different structural parameters are established, to reduce loss and improve efficiency as target, the structural parameters are iteratively optimized, until the structural parameters of centrifugal air compressor that meet minimum loss and maximum efficiency are obtained simultaneously.The application starts from the angle of energy loss, and realizes the high-efficiency and low-loss optimization of centrifugal air compressor by using advanced analysis.

The invention provides a rapid maximum efficiency tracking control method and system for a wireless charging system, and solves the problems of high time complexity, low solving speed and low maximum tracking speed of an existing maximum efficiency tracking control method. According to the method adopted by the invention, firstly, a current solution is compared with a previous solution and a latter solution, and if the current solution is superior to the previous solution and the latter solution at the same time, an interval in which an optimal solution is located can be determined; secondly, maximum efficiency tracking is carried out through a golden section search algorithm; the time complexity of the golden section search algorithm is generally O (log n), and n is the dimension of a solution space. The solution space dimension is generally greater than 1, and O (log n) is less than O (n) at the moment, so that the maximum efficiency tracking speed can be improved to a certain extent by adopting the perturbation observation-golden section method.

The invention relates to a forklift truck (2) comprising a hydraulic system (10) and at least one hydraulically operated component (30), as well as a method for operating a hydraulic system (10) of the forklift truck (2). The hydraulic system (10) comprises a first hydraulic pump (11), a second hydraulic pump (12), and a hydraulic line system (15). The hydraulic line system (15) is designed and configured to connect the hydraulically operated component (30) selectively either exclusively to the first hydraulic pump (11), exclusively to the second hydraulic pump (12), or simultaneously to both the first hydraulic pump (11) and the second hydraulic pump (12). The first hydraulic pump (11) has a maximum efficiency at a first flow rate (102) and a first operating pressure (101). The second hydraulic pump (12) has a second maximum efficiency at a second flow rate (102) and a second operating pressure (101).The first operating pressure (101) is greater than the second operating pressure (101) and / or the first volume flow rate (102) is smaller than the second volume flow rate (102).

A control device performs: searching for a maximal efficiency voltage which is an output voltage of the first converter at which the output power of the first converter becomes maximal; storing the maximal efficiency voltage obtained by the searching; performing a voltage adjustment process of changing the output voltage of the first converter in a direction in which the output power of the first converter is increased by using the maximal efficiency voltage as an initial value; changing the output voltage of the first converter to the maximal efficiency voltage at that time when the correspondence relationship between the output voltage of the first converter and the output power corresponding to the output voltage of the solar panel is changed during the voltage adjustment process; and performing the voltage adjustment process again with the output voltage of the first converter after the change as a new initial value.

The invention discloses a biomass whole-bundle straw decomposition and gasification device which comprises a shell, combustion equipment is arranged on one side in the shell, a door plate is arranged at the top of the other side in the shell, and a lower gear type rolling shaft and an upper gear type rolling shaft are arranged on the upper portion and the lower portion of a path, between the door plate and the combustion equipment, in the shell respectively. A crushing assembly is arranged on the path, bearing the whole bundle of falling straw, of one side of the top of the combustion equipment, by changing the transmission ratio between an adjusting assembly and a rotating shaft, after 30 seconds, the power-off state of an electromagnet is restored, an electromagnet ring is powered on again, meanwhile, a first motor is started to drive the whole rotating shaft to rotate again, and the straw is crushed. The whole bundle of straw is conveyed again, but the conveying speed at the moment can be reduced compared with that before adjustment so as to be matched with crushing of the damped straw with large toughness, self-adaptive adjustment can be achieved in the whole process, manual intervention is not needed, and whole bundle type straw decomposition with the maximum efficiency is achieved.

The invention discloses an inverse design method for a dual-mode internal contraction combined air inlet channel, and relates to a hypersonic air inlet channel of an aircraft. Comprising the following steps: designing a bimodal basic flow field based on a high / low-speed modal cruise Mach number as a design point; the inlet shape design of the air inlet channel is combined with the flight-launch integrated matching requirement; designing an air inlet compression molded surface by a streamline tracking technology; designing the optimal position of the rotating shaft of the splitter plate based on the maximum splitting control efficiency; designing a flow distribution plate rotation angle according to a flow distribution requirement in a flight envelope; the expansion effect caused by rotation of a turbine channel splitter plate and the compression effect generated by area shrinkage in a shared flow channel are comprehensively considered; and a turbine channel and a stamping channel are designed to be separated from each other. The dual-mode conversion adaptability of the internal contraction combined air inlet channel is remarkably improved, and the flow distribution requirements of all channels under different flight working conditions are met.

The invention relates to the field of photoelectric scheduling, in particular to a distributed photovoltaic regulation and control device and method based on four fusible terminals, and the device comprises a fusion terminal module, a power prediction module, a demand scheduling module, a power supply model module and a quality reduction module. The power prediction module is used for fitting distribution of output power with beta distribution, the demand scheduling module is used for determining a scheduling coefficient of a demand side, the power supply model module is used for establishing a power supply model to carry out constraint planning on power supply power to obtain optimal output power, and the quality reduction module is used for grading power generation power and actively reducing power supply during undervoltage. According to the method, the power grid can better balance power supply and demand, input fluctuation is reduced, the power dispatching process is optimized, dynamic balance of energy supply is achieved, the utilization efficiency of electric energy is ensured to be maximized, and the stability and power supply quality of a power system are guaranteed.

The present invention provides a convection-type two-way ventilation water-cooled computer mainframe case, which relates to the technical field of chassis and solves the problem that the heat absorbed in the water-cooling solution of the existing water-cooled computer chassis cannot be dissipated by high-efficiency heat exchange, resulting in the inability to ensure the water cooling effect of the water-cooling block on the CPU after running for too long. A convection-type two-way ventilation water-cooled computer mainframe case includes a mainframe case, and a group of fans A are embedded and installed in the front side of the mainframe case. The airflow generated by fans A and B will also be input into the connecting pipe through the airflow input through hole, and the airflow input into the two connecting pipes will also form convection in the rectangular convection heat dissipation exchange cavity, so as to greatly stir the airflow inside the rectangular convection heat dissipation exchange cavity, thereby maximally efficiently performing heat exchange with the copper heat dissipation fins on the rectangular copper block, so as to accelerate the removal of heat in the water-cooling solution and ensure the water cooling effect of the water-cooling block on the CPU.

Computerized methods of classifying compute-intensive and memory-intensive applications are disclosed. A maximum efficiency for a user application is identified. A peak performance for a machine implementation is identified under one or more Quality of Service (QoS) parameters. Actual performance and resource usage of the application implementation using one or more performance vectors is measured and compared with the maximum efficiency and the peak performance. One or more areas of interest are identified using the performance vectors. If a critical hotspot area is identified from the one or more areas of interest, at least one feature is extracted from the critical hotspot area. An application signature is built if an approximation of performance is acceptable, based on the extracted features. The compute- and memory-intensive application may be classified based on the application signature.

The present application relates to the technical field of power system operation or management, and particularly to a partial discharge monitoring strategy optimization method and system based on dynamic resource allocation, which initializes monitoring parameters by constructing a three-level monitoring system including sensor nodes, aggregation nodes and a cloud processing center, periodically or triggeredly acquires system state information, calculates the risk level of each monitoring point in combination with a dynamic risk evaluation model, constructs a resource allocation optimization model with maximum efficiency based on the risk level and resource constraints, solves the optimal scheme by using an improved multi-objective particle swarm algorithm, issues it to each node to adjust the monitoring behavior, forms a closed-loop optimization, and dynamically updates the model parameters through an online learning mechanism. The present application realizes dynamic matching of risk and resources, improves monitoring accuracy and resource utilization, enhances the adaptability of the system to changes in equipment state and environment, and is suitable for partial discharge monitoring scenarios of various power equipment.

The control device scans the output voltage of the first converter within a predetermined range to search for a maximum-efficiency voltage. At that time, the control device controls the output voltage of the first converter to the first voltage and acquires the output power of the first converter at that time as the first power, controls the output voltage of the first converter to the second voltage changed by the first change width from the first voltage and acquires the output power of the first converter at that time as the second power, and controls the output voltage of the first converter to the third voltage changed by the second change width from the second voltage in order, and sets the second change width to a value larger than the first change width when the second power is smaller than the first power.

The invention discloses an air cooling unit efficiency optimization method and system based on multi-branch design, and relates to the technical field of air cooling control, and the method comprises the steps: collecting the total load demand of an air cooling unit, and the operation parameters and environment parameters of each branch; establishing an efficiency evaluation index by calculating the heat exchange amount and the energy consumption of each branch; classifying the branches into a high-efficiency branch group and a low-efficiency branch group; the total heat exchange amount of the high-efficiency group is obtained according to the heat exchange amount of each branch in the high-efficiency branch group, if the total heat exchange amount is larger than the total load requirement, the target heat exchange amount is obtained according to the heat exchange amount distribution load, and if the total heat exchange amount is not larger than the total load requirement, the branch with the maximum efficiency evaluation index in the low-efficiency branch group is added into the high-efficiency branch group; and the operation parameters are adjusted according to the target heat exchange amount, and branches in the low-efficiency branch group are closed. On the premise of guaranteeing that the load requirement is met, the efficient branch is used to the maximum extent, the situation that the load cannot be met due to blind closing of the low-efficiency branch is avoided, and stable operation is kept while the overall operation efficiency of the air cooling unit is improved.

The utility model discloses a feed crushing device, which belongs to the field of crushing, and comprises a crushing tank, a crushing tank cover plate and a crushing device, the crushing device passes through the crushing tank cover plate, one side of the crushing tank cover plate is provided with a feed port, the bottom surface of the crushing tank is provided with a discharge port, and a storage tank is arranged below the discharge port. Compared with the prior art, the device disclosed by the utility model has the advantages that raw materials in the feeding hole are drained by selecting the drainage groove in the proper replaceable flow control column, and the replaceable flow control column is rotated through the flow control motor, so that the raw materials can flow into the crushing tank at a fixed flow speed while the accumulated raw materials are loosened; and the crushing cutter can operate at the maximum efficiency.

The invention discloses a noise performance calibration method for a range extender of a new energy automobile, and the main conception of the method is as follows: firstly, formulating a range extender preliminary selection point by using a simulation result; based on the requirements of multiple target performances, obtaining an initial calibration strategy through the initial point selection; after the initial calibration strategy is tested on the power assembly rack, range extender test selection points are output, and whether the test selection points meet all requirements or not is judged by combining the multi-target performance requirements; and after the initial calibration strategy is revised according to the test selection points meeting the requirements in combination with the real vehicle test, the multi-target performance requirements are combined again, and if it is determined that the revised result meets the performance requirements, a final range extender calibration strategy is obtained. According to the method, early-stage guidance is carried out on formulation of a range extender noise performance calibration strategy and optimization of a vehicle body structure based on NVH, and rapid implementation of real vehicle engineering can be further guided in a later stage, so that the quietness problem of the range extender is solved at the maximum efficiency, and meanwhile, the multi-dimensional performance requirement of the vehicle can be considered.

The invention discloses a novel combined cooling heating and power system and an optimization method, device, medium and product thereof, and relates to the field of low-temperature waste heat recovery. The optimization method comprises the steps that the temperature of waste heat to be recovered is obtained, the working medium critical temperature and working medium heat capacity of a preselected working medium are combined, and a preselected working medium is obtained through a working medium screening model; determining an optimal working medium of an organic Rankine cycle subsystem of the novel combined cooling heating and power system; according to the temperature of the waste heat to be recycled, an optimization model with maximum efficiency, maximum return on investment and maximum carbon dioxide emission reduction as objective functions and with a decision variable preset range as a constraint condition is established; and solving the optimization model by using a non-dominated sorting genetic algorithm to obtain an optimal decision variable, so that the novel combined cooling heating and power system recovers the waste heat to be recovered based on the optimal working medium and the optimal decision variable. The waste heat recovery efficiency of the novel CCHP system is improved.

This application relates to an odd-even layer winding structure, a stator assembly, and a motor. The stator assembly has 2p poles, and the stator core has Z stator slots. Within these Z slots, every three slots form a group. In each group, the left and middle slots are sequentially arranged with slot layers L1, L2…Lm-1, and the right slot is also sequentially arranged with slot layers L1, L2…Lm. The odd-even layer winding structure includes three phases of winding lines. Each phase includes n winding branches, and each branch includes several hairpin coils. The hairpin coils are configured with m / 2+1 different layer crossing methods: crossing slot layers L1 and L2, L3 and L4…Lm-1 and Lm, and Lm-1 and Lm-1. The odd-even layer winding structure provided by this application can effectively improve the motor's peak power, high-efficiency area ratio, and maximum efficiency.

The application discloses a method for improving the accuracy of steel plate defect detection and the fault tolerance rate of a camera, comprising arranging a group of cameras above and below the steel plate, the capture ranges of the cameras overlapping; firstly, carrying out hot state defect detection, and then carrying out cold state defect detection; collecting two-dimensional image features and color information of the defects through a color camera, recording the positions of the defect targets on the plate, recording the similarity of the defects, judging whether periodicity exists, combining the upstream hot state inspection mother plate number with a downstream table inspection system, and increasing information interaction and reminding functions; since the defects and pseudo defects have different color and shape features, the defect categories can be judged through the collected defect shapes, periodicity, color and position. The application has the advantages of improving the accuracy of defect discrimination with the maximum efficiency, improving the fault tolerance rate of the camera, reducing the labor intensity of workers, reducing safety hazards, and ensuring that the data is accurate and correct.

The present application belongs to the technical field of aviation fuel structure design, and particularly relates to a method and structure for reducing fuel violent shaking. The structure comprises a fuel tank shell, a rear guide plate, a rear flow divider, a fuel tank interior, a crescent guide plate, a front guide plate and a front flow divider. The overall shape of the fuel tank is a long cylindrical ellipse, which is symmetrical in front and back and symmetrical in left and right. The fuel tank interior is arranged with a flow guiding and dividing mechanism composed of the rear guide plate, the rear flow divider, the crescent guide plate, the front guide plate and the front flow divider. The fuel with opposite speed components collides, thereby reducing the overall momentum of the fuel, which conforms to scientific principles. The flow guiding and dividing mechanism can be cut from the same material as the fuel tank, has a simple shape, no thickness requirement, is directly welded on the fuel tank shell, is economical and practical, does not need to be maintained, and has strong practicality. The position, shape and size of the flow guiding and dividing mechanism are set precisely, and the maximum efficiency of the internal collision of the oil can be achieved to achieve the purpose of fuel anti-shaking.