478 results about "Fuel efficiency" patented technology

The invention provides a power generation control method and device for an extended-range hybrid power loader. According to the scheme, the current working mode of the range extending type hybrid power loader is determined according to the real-time operation parameters and the driving operation information; the current working mode of the range extender is determined according to the current working mode of the range-extended hybrid power loader and the charge state of the power battery, and the current required power generation power of the range extender is determined based on the current working mode of the range extender, the required power of the range-extended hybrid power loader and the charge state of the power battery; according to the current required power generation power of the range extender, a preset range extender output electric power curve and a preset engine fuel efficiency characteristic curve, the target rotating speed of a generator and the target torque of the engine are determined, and according to the current working mode of the range-extended hybrid power loader, the target rotating speed of the generator and the target torque of the engine; and controlling the operation states of the engine and the generator. According to the scheme, the problem of low energy efficiency of an extended-range hybrid power loader is solved.

A systematic framework for optimizing multi-stage axial compressor disk designs in gas turbine engines. By combining finite element analysis (FEA), Design of Experiments (DOE), and optimization algorithms of multi-objective genetic algorithm (MOGA), the method balances stress, deformation, and mass to enhance structural performance. The six-step process includes blade modeling, parameterizing disk geometry, structural analysis using FEA, developing functional relationships, applying optimization algorithms, and generating manufacturable 3D disk models. This approach reduces weight, improves fuel efficiency, and adapts to various compressor designs and materials, enhancing the overall performance of gas turbine engines.

A cooling system for vehicles and a control method thereof improves indoor heating performance and fuel efficiency by controlling a flow rate of a coolant passing through a heater core together with an EGR cooler. A coolant having an increased temperature is first supplied to the heater core side through a flow stagnancy control to rapidly increase the temperature of the coolant flowing in the heater core, thereby improving heating performance. A warm-up feature is improved through an exhaust heat recovery function by a heat exchange between the exhaust gas and the coolant in the EGR cooler, thereby improving efficiency of fuel.

A method and system for improving the fuel efficiency of an aircraft flight, and a method for training a machine learning module to predict the most probable descent flight trajectories are disclosed. The machine learning module uses two stages of clustering and regression analysis to analyse historical flight data, so that the trained model can determine the most probable flight trajectory for the descent phase of a future / ongoing flight. This can then be used to determine an adjusted top of descent and output to the pilot of the future / ongoing flight, or used to control an associated autopilot system.

An apparatus provides information on a distance to empty (DTE) of a vehicle and an information providing method is performed thereby. The apparatus includes a display device configured to display DTE information of a vehicle and a controller configured to control operation of the display device. The controller determines low fuel efficiency-related information and high fuel efficiency-related information based on a current vehicle driving condition. The controller determines a low DTE value and a high DTE value based on the low fuel efficiency-related information, the high fuel efficiency-related information, and a current available battery energy. The controller also determines a current DTE value indicating a real-time DTE and controls operation of the display device to display the low DTE value, the high DTE value, and the current DTE value.

The invention provides a multivariable performance optimization method based on stabilization-optimization double loops, and relates to the technical field of aviation aircraft power system control. The method comprises the steps that an inner layer control loop of an aircraft engine is designed according to control requirements, and the control requirements comprise the steps that ideal thrust closed-loop bandwidth is achieved, A8 and A163 have the centering characteristic, disturbance suppression is carried out, and servo tracking is carried out; an outer layer performance optimization loop of the aircraft engine is designed, and the fuel consumption rate is globally optimized; determining parameters of a feedforward-feedback combined controller according to the designed inner-layer control loop; according to the method, parameters are adopted to control thrust, so that the thrust is maintained at an expected value, a designed outer layer performance optimization loop is adopted, and delta A8ref and delta A163ref are dynamically adjusted, so that the engine reaches the lowest fuel consumption rate under the specific thrust. According to the optimization method provided by the invention, the highest fuel efficiency output of the engine under a specific flight condition is realized through online correction of the steady state control plan.

The invention discloses a cruise management method and device for an extended-range electric vehicle, relates to the technical field of intelligent electric vehicles, and mainly aims to realize fine management of the extended-range electric vehicle under a cruise working condition, improve the fuel efficiency and ensure the fuel economy and the endurance achievement rate. According to the main technical scheme, when the vehicle is in a hybrid control mode, the cruise working condition of the vehicle is determined according to the vehicle existence condition within a first distance in front and the road unobstructed state within a second distance in front, and the cruise working condition comprises constant-speed cruise and vehicle-following cruise; if the vehicle is cruise at a constant speed, controlling the range extender to output according to a multi-point control strategy in the cruise at the constant speed of the vehicle; if yes, the range extender is controlled to output according to a power following strategy in the vehicle following cruise process. The method is used for cruise management of the extended-range electric vehicle.

A dual agent reinforcement learning autonomous system (DARLAS) for the autonomous operation of aircraft and / or provide pilot assistance. DARLAS includes an artificial neural network, safe agent, and cost agent. The safe agent is configured to calculate safe reward Q values associated with landing the aircraft at a predetermined destination or calculated emergency destination. The cost agent is configured to calculate cost reward Q values associated with maximum fuel efficiency and aircraft performance. The safe and cost reward Q values are based on state-action vectors associated with an aircraft, which may include state data and action data. The system may include a user output device that provides an indication of an action to a user. The action corresponds to an agent action having the highest safe reward Q value and the highest cost require Q value. DARLAS prioritizes the highest safe reward Q value in the event of conflict.

The invention relates to the technical field of fuels and additives thereof, in particular to an alcohol fuel with a catalytic effect and an additive thereof.The alcohol fuel with the catalytic effect comprises C1-C7 alcohol and hydrocarbon, and a rare earth compound catalytic material is used in the fuel; the rare earth compound comprises a hydroxyl group or a phenyl group or a C5-C25 group or a carboxyl group or an amino group or a metal, the alcohol fuel is high in formula calorific value adjustable calorific value, can well adapt to an internal combustion engine or an engine for testing the alcohol fuel, is a novel alternative energy with potential, and can be used for preparing the alcohol fuel. The environmental protection problem of fossil fuel is solved, and the fuel efficiency is accelerated.

The invention discloses a power system control algorithm agent based on a large language model and a construction method thereof. By introducing the large language model, the problem of dependence on single modal data in a traditional power system control method is solved. The large language model can integrate multi-modal data, including theoretical knowledge, scientific achievements, expert experience and actual operation data, by means of the powerful data processing and analysis capability, and precise control and optimization in a complex engineering scene are achieved. Meanwhile, the method introduces the consideration of the personalized demands of the user, and automatically generates a control algorithm meeting the personalized preferences and actual demands through the interaction with the user. Through fusion of multi-modal data and optimization iteration of user feedback, the generated control algorithm not only conforms to theoretical logic but also fits engineering practice, the performance of the power system is remarkably improved, for example, the fuel efficiency is improved, emission is reduced, and the adaptability and stability of the system under various working conditions are enhanced.

The invention discloses a two-stage rendezvous maintenance task planning method based on a dung beetle optimization algorithm. The method comprises the following steps: S1, establishing an optimization model of a multi-target spacecraft maintenance task; s2, a first-stage optimization algorithm is designed, an improved genetic algorithm is adopted, an initial population is generated, and fitness calculation is carried out; s3, entering second-stage optimization on the basis of an optimization result of the first stage, and adopting a dung beetle optimization algorithm transfer angle as an optimization variable; s4, dynamically adjusting variables in combination with a two-stage solving process of a genetic algorithm and a dung beetle algorithm to realize an optimal solution of task planning; and S5, verifying the performance of the optimization algorithm based on simulation data, and evaluating the effectiveness and applicability of the method through fuel consumption and task completion time indexes. Through introduction of a two-stage optimization strategy, a dynamic path adjustment mechanism and a comprehensive constraint condition, the defects of the prior art in the aspects of global optimization capability, fuel efficiency and time balance and task planning adaptability are overcome.

The invention relates to the technical field of engineering machinery control, in particular to a fuel efficiency optimization method and system based on multi-modal visual fusion, and the method comprises the steps: obtaining an environment image around engineering machinery, generating a disparity map, and carrying out the three-dimensional reconstruction; according to the reconstructed image and a pre-stored engineering machinery joint model, obtaining three-dimensional coordinates and spatial postures of the movable arm joint; classifying the current working conditions of the engineering machinery according to the three-dimensional coordinates and the spatial attitude of the movable arm joint, the state parameters of the engineering machinery and the reconstructed image, and determining the action states and slope repairing angles under different working condition types; and according to the working condition type, the action state and the slope repairing angle, based on a pre-constructed fuel mapping database, obtaining a corresponding load intensity coefficient, an engine rotating speed, a main pump pressure, a fuel supply correction coefficient and torque compensation, and adjusting the current state parameters of the engineering machinery to realize fuel optimization.

The invention relates to the technical field of ship power control, in particular to a control method for predicting and optimizing power output by a neural network control algorithm, which comprises the following steps of: acquiring sensor data of a ship turbine in real time, extracting time sequence characteristics through a dynamic sliding window, and eliminating noise by adopting adaptive filtering; constructing a power system prediction model by applying an extreme learning machine (ELM), inputting the preprocessed feature data, and outputting a power output prediction value in a future time period; and when the prediction error exceeds a dynamic threshold value, network parameters are adjusted on line through an incremental weight updating algorithm. The data processing capability is broken through: a multi-objective cost function including fuel efficiency, emission indexes and mechanical wear is constructed in combination with a prediction result and a ship navigation state, and a Pareto optimal control solution set is searched by using an evolutionary algorithm; wavelet packet decomposition and Kalman filtering are fused, the signal-to-noise ratio is increased, and the sudden working condition feature capture speed is obviously increased through a dynamic sliding window.

Provided is a tire comprising at least one reinforcement layer in a tread portion, wherein the reinforcement layer includes a reinforcement element 2 consisting of a plurality of metal filaments 1 that are aligned in a single row without being twisted together, and crosslinked rubber 3 coating the reinforcement element 2, and the metal that constitutes the metal filaments 1 is steel whose surface is coated with a ternary plating of copper, zinc, and iron. This tire has a reinforcement layer with excellent adhesive durability between the steel cord and its coating crosslinked rubber and high fuel efficiency.

The invention discloses a shock absorber structure parameter optimization method based on a multi-target genetic algorithm. The method comprises the following steps that 1, the piston movement speed of a shock absorber is collected through a sensor; 2, establishing a target function; 3, solving an optimal solution for the target function according to a multi-target genetic algorithm, and obtaining an optimal structure parameter; wherein the structural parameters comprise the length of an effective area of a damping channel, the length of a non-effective area of the damping channel, a damping channel gap, the depth of a coil groove, the radius difference of an iron core coil, the thickness of a cylinder barrel and the radius of a piston rod. The method has the characteristics that the applicability is improved, the damping performance is optimized, and the vehicle driving comfort and the fuel efficiency are improved.

The invention relates to a wheel device, a vehicle having the wheel device and a method of controlling the wheel device. The wheel device comprises a wheel body, a cover element and a transmission assembly. The wheel body is provided with a plurality of spokes which are arranged at intervals at a preset angle, and a through opening through which air can pass is formed between every two adjacent spokes; the cover element can cover the side face of the wheel body in a rotating mode relative to the wheel body around the rotating axis of the wheel body and is provided with at least one hole opening area. A transmission assembly is disposed between the wheel body and the shroud element and is configured to rotate the shroud element relative to the wheel body about a rotational axis of the wheel body when a rotational speed of the wheel body is greater than a predetermined threshold, therefore, the through opening of the wheel body is converted from an open state in which the through opening overlaps with the orifice area to a blocked state in which the through opening does not overlap with the orifice area. The invention has the advantages of reducing air resistance, increasing endurance mileage or fuel efficiency, and improving cooling performance, braking performance and appearance design.

The present invention discloses an all-terrain vehicle and its engine. The engine includes: a cylinder provided with an exhaust port and a first cooling channel; a crankcase disposed below the cylinder, the top of the crankcase being spaced a predetermined distance from the exhaust port, the crankcase including a second cooling channel communicating with the first cooling channel; a water pump disposed on one side of the crankcase; a cylinder inlet pipe, one end of the cylinder inlet pipe being connected to the water pump, the cylinder inlet pipe being fixedly attached to the top of the crankcase and spaced apart from the cylinder, and the other end of the cylinder inlet pipe communicating with the second cooling channel. Thus, the cylinder inlet pipe and the exhaust pipe can be effectively spaced apart further, so that the high-temperature exhaust pipe can be prevented from affecting the low-temperature cylinder inlet pipe, the cooling water temperature of the cylinder inlet pipe can be effectively reduced, the working reliability of the engine can be ensured, and the fuel efficiency of the engine can be improved.

The invention discloses a dispatching method and system based on a distributed diesel generator and a virtual power plant, and relates to the technical field of power systems and energy internet. Comprising the steps that a local control unit establishes an operation constraint model containing a nonlinear fuel efficiency and carbon deposition risk model, and generates a health recommendation domain; the cloud end generates a triple scheduling instruction packet containing reference power, offset bandwidth and weight vectors in combination with power grid constraints; identifying the impedance of a grid-connected point on line at the edge side, and carrying out asymmetric compression correction on the bandwidth based on the voltage sensitivity under a weak grid; and the local unit performs rolling optimization solution under the double constraints of the corrected instruction and the local model, and switches to the anti-carbon deposition autonomous mode containing dummy load input when the communication is interrupted and the carbon deposition risk is high. According to the invention, through cloud-side-end cooperation and hierarchical closed-loop correction, the conflict between the weak network voltage out-of-limit risk and the low-load carbon deposition of the unit is effectively solved, and the safety and the performability of scheduling are improved.

A power management system and method for a work machine that receives real time data, computes current power requirements based on the real time data, computes an optimized engine speed based on the current power requirements and a desired reserve power, and informs an operator of the optimized engine speed. The system can predict upcoming power requirements based on real time and predictive machine data, and compute the optimized engine speed based on the current and upcoming power requirements and the desired reserve power. The system can also receive predictive data, and predict the upcoming power requirements based on the predictive and real time data. Predictive data can include topographical data and / or historical power-consumption data. The system can include an automatic mode where the system automatically adjusts engine speed to the optimized engine speed. The system can maintain a constant machine ground speed as it automatically adjusts engine speed.

The invention provides a power supply coal consumption detection method and device for a coal-fired unit with a hot primary air heater. The method comprises the following steps: dividing a boundary for a heat balance system of the coal-fired unit with the hot primary air heater based on a preset rule; based on the heat balance system of the coal-fired unit after boundary division, the boiler fuel efficiency after air inlet temperature correction is determined; based on the steam turbine heat rate and the correction coefficient, the steam turbine heat rate after parameter correction is obtained; and determining the power supply coal consumption of the coal-fired unit based on the boiler fuel efficiency after the air inlet temperature correction, the steam turbine heat consumption rate after the parameter correction and the station service power consumption rate. The method can guide the detection and calculation of the power supply coal consumption of the coal-fired unit with the hot primary air heater, and provides technical reference for power plant personnel to carry out proper operation adjustment according to the data. And meanwhile, the economical efficiency of transformation of the hot primary air heater of the power plant can be evaluated, and the power plant is guided to carry out reasonable transformation evaluation and carry out reasonable parameter adjustment on the hot primary air heater.

The invention discloses a gradient self-adaptive predictive energy-saving control method for a heavy truck. The gradient self-adaptive predictive energy-saving control method comprises the following steps: step 1, establishing a longitudinal dynamical model of the heavy truck; step 2, establishing an engine fuel consumption characteristic model; 3, an NMPC controller of the heavy truck power system is established, a multi-objective cost function is constructed, and the multi-objective cost function comprises a speed traceable weight w1, a fuel economy weight w2 and a torque change weight w3; step 4, constructing a neural network for capturing a mapping relationship between the gradient sequence and a fuel economy weight w2, wherein the neural network outputs an optimal fuel economy weight w2 to an NMPC controller; step 5, constructing a feature data set for neural network training; step 6, establishing an automatic simulation scheduling system; step 7, the automatic simulation scheduling system generates a label; and step 8, training the neural network by using a data set formed by the label and the long-scale gradient sequence. According to the invention, the fuel efficiency under variable gradients is improved.

Disclosed are a device and a method for improving the fuel efficiency of a fuel cell vehicle in uphill and downhill driving. The device may calculate an appropriate stack output to be generated from a fuel cell stack based on the SOC of a battery as well as an uphill altitude at which the vehicle traveling on the uphill road has to travel further to reach the highest altitude when determining the degree of the stack output generated from the fuel cell stack when driving on the uphill road, and may prevent fuel consumption from increasing to generate excessive stack output while driving on an uphill road or the durability of the fuel cell stack from being deteriorated.

The invention relates to an aero-engine fan interstage planetary transmission system, a fan device and an aero-engine. The planetary transmission system comprises a planetary gear train, a clutch and a brake. The planetary gear train comprises a planetary carrier I connected with the low-pressure turbine shaft, a plurality of planetary gears I mounted on the planetary carrier I, a sun gear I internally meshed with the planetary gears I and a gear ring I externally meshed with the planetary gears I, and the planetary carrier I is in transmission connection with a second-stage fan I and a third-stage fan I; the gear ring I is in transmission connection with the first-stage fan I. The clutch is installed between the gear ring I and the sun gear I and used for selectively connecting the gear ring I and the sun gear I. The brake is installed between the sun gear I and the fan shell and used for selectively fixing the sun gear and achieving switching of power transmission paths and fan graded variable speed control. The fan interstage planetary speed change system is simple in structure, reliable in transmission and capable of achieving flexible differential control among stages of the fan and improving the pneumatic performance and the fuel efficiency of an engine under different working conditions.

An integrated system for power generation and method thereof is disclosed, for generating and utilizing hydrogen gas or oxyhydrogen gas for enhancing fuel efficiency, thereby providing energy efficient power generation. An electricity generation system (402) generates and store an electric current in a battery for processing a gas generator (100) i.e., hydrogen (H2) or oxyhydrogen (HHO) gas generator. In the gas generator (100) an Automatic Transmit Power Control power supply (102) stabilizes power transmission, providing constant current by a current source (104) to an electrolysis setup (106) for generating hydrogen (H2) gas or oxyhydrogen (HHO) gas. A thermostat regulates temperature, and a demister separates steam from the generated gas. A burner (200) combusts the generated gas. A steam boiler (302) converts water into high pressure steam using the generated gas. A steam turbine (304) converts the high-pressure steam into mechanical energy. An electricity generator (306) converts mechanical energy into electrical energy.

The invention provides an air-breathing engine incremental control method based on reinforcement learning, and relates to the technical field of air-breathing engine control. The deep reinforcement learning control module is used for outputting control increments of control variables such as the main fuel flow, the inner culvert and outer culvert thrust augmentation fuel flow and the nozzle throat area, the safety limiting module is combined for monitoring and cutting multiple monitoring parameters in real time, and finally a smooth and feasible execution signal is generated through the action space processing module. And multi-dimensional fine adjustment of the engine is realized. According to the scheme, multi-agent parallel training is adopted, switching between a low thrust mode and a high thrust mode is supported, under the condition that an accurate mathematical model is not needed, nonlinearity and coupling characteristics of an engine are flexibly coped, one-time large jump is prevented, safety and fuel efficiency are improved, and the requirements for high thrust and low fuel consumption in the flight process are met.

The present invention relates to a speed planning method for improving the fuel efficiency of unmanned mining vehicles, belonging to the technical field of planning and control for unmanned mining vehicles. The speed planning method of the present invention combines actual operating scenarios with information about the actual operating status of the vehicle and the surrounding environment to generate a smooth speed trajectory that satisfies the vehicle's kinematics. This method solves the instability of existing methods that only improve fuel efficiency within the vehicle itself. By implementing real-time dynamic control, it achieves a better improvement in fuel efficiency for mining trucks.

The objective is to provide a hydraulic control device for an internal combustion engine that can prevent abnormal noises and suppress deterioration of fuel efficiency and exhaust emissions. [Solution] A hydraulic control device for an internal combustion engine comprising: a first oil passage for supplying oil from an oil pump to a component; a second oil passage connected to the first oil passage for supplying the oil from the oil pump to a chain tensioner; a control valve provided in the first oil passage on the component side of the position where the second oil passage is connected; and a control unit for controlling the opening degree of the control valve.

This cylinder has an inner wall surface on which a piston with a piston ring slides, and a plurality of recessed portions (14) formed in a stroke central region of the inner wall surface (12) by laser processing such that the surface roughness of a bottom surface (14A) of each recessed portion (14) satisfies at least one of a first state in which a core-portion level difference (Rk) after polishing the bottom surface is less than 1.6 μm, a second state in which a protruding valley-portion depth (Rvk) after polishing the bottom surface is less than 1.3 μm, a third state in which the core-portion level difference (Rk) after performing a chemical conversion treatment and polishing on the bottom surface is less than 1.1 μm, and a fourth state in which the protruding valley-portion depth (Rvk) after performing the chemical conversion treatment and polishing on the bottom surface is less than 0.9 μm. Consequently, friction resistance is reduced, fuel efficiency is improved, or oil consumption is reduced.

This invention discloses a hybrid drive system based on a three-speed transmission, including a front axle power assembly, a three-speed hybrid transmission, a rear axle drive assembly, and an energy management system. The front axle power assembly includes a connected engine and a P1 motor. The input end of the three-speed hybrid transmission is connected to the P1 motor via a clutch, and the output end of the three-speed hybrid transmission is connected to the front wheels of the vehicle. The rear axle drive assembly is connected to the rear wheels of the vehicle and includes a P4 motor. This invention's three-speed hybrid drive system, with its dual-motor configuration, enables pure electric rear-wheel drive, series rear-wheel drive, parallel front-wheel drive, and four-wheel drive modes. It can enter parallel operation at 0 speed, and a traction mode is set to ensure that the engine and motor enter parallel operation at low speeds to increase wheel-side torque. By integrating the three-speed transmission with the P1 motor and setting the P4 motor to drive the rear wheels, fuel efficiency is improved while reducing the hybrid gearbox size, simplifying layout, and enhancing feasibility. This invention also discloses a vehicle and a control method for the three-speed hybrid drive system.

This application belongs to the field of vehicle technology, specifically relating to drive systems and vehicles. The drive system includes a first drive unit connected to an engine, comprising a step-up transformer, a first motor controller, and a first motor assembly. The step-up transformer is connected to the first motor controller, and the first motor controller is connected to the first motor assembly. A second drive unit includes a second motor controller and a second motor assembly, with the second motor controller connected to the second motor assembly. A power battery is electrically connected to both the first and second drive units. Based on the operating mode of the drive system, the step-up transformer is controlled to switch between an off and on state. In this application, the vehicle can be driven without a step-up transformer in pure electric mode, reducing component losses associated with the step-up transformer and increasing the pure electric driving range. Using a step-up transformer can reduce motor size, lower costs, and reduce vehicle weight, achieving overall fuel efficiency.