2003 results about "Energy technology" patented technology

The invention provides a rebalance dynamic adjustment method applied to a multi-source system and a service system, and relates to the technical field of smart energy, and the method comprises the steps: collecting a real-time operation data set of the multi-source energy system, covering energy supply, load demand and system operation state features, carrying out the dynamic supply and demand deviation feature extraction, and carrying out the dynamic adjustment of the dynamic supply and demand deviation features; a feature set containing supply, demand fluctuation and system stability deviation is generated, then a pre-trained multi-source collaborative prediction model is called, and a multi-source collaborative prediction result containing energy supply and load demand trend prediction features is generated based on the feature set; and dynamic adjustment strategy matching is carried out according to a multi-source collaborative prediction result and real-time operation data, and a strategy set of energy output adjustment, energy storage charging and discharging, load priority distribution and the like is obtained. And finally, executing an adjustment strategy and obtaining feedback data, optimizing parameters of the multi-source collaborative prediction model based on the adjustment strategy, triggering closed-loop adjustment operation, and realizing rebalance dynamic adjustment of the multi-source system.

The invention discloses a building carbon emission analysis method based on an STIRPAT algorithm and a building information model technology, and the method comprises the steps: collecting the whole life cycle information of a building through the BIM technology in a data collection and integration stage, covering the data of all links of design, construction and operation, widely collecting the external environment data of a project location, such as social economy, energy technology, etc. Multi-source data such as geographic space and weather are introduced and fused, and real-time monitoring is performed by means of an intelligent sensing technology. Secondly, an extended STIRPAT model is constructed, core independent variables such as population, economy and technology and control variables such as building scale are comprehensively considered, and the influence of factors is accurately quantified through dynamic parameter adjustment and scene simulation prediction; according to the method, carbon emission attributes are given to components and equipment based on a BIM model, full-life-cycle carbon emission is simulated and calculated, integrated optimization is carried out with solar photovoltaic, intelligent control, waste management and other technologies, finally, results are comprehensively analyzed, carbon emission distribution and trend are displayed by utilizing a BIM visualization function, and a building low-carbon decision is provided.

The present invention belongs to the technical field of building integrated energy. Disclosed is a virtual energy storage-considered double-layer optimization scheduling method for a building integrated energy system, the method comprising: constructing an energy hub-based low-carbon building integrated energy system containing wind-solar energy storage and energy conversion devices; comprehensively analyzing characteristics of loads of the system to improve the demand response capability thereof; further providing a double-layer optimization model containing an upper-layer energy operator pricing layer and a lower-layer building user optimization layer, building virtual energy storage and building user comfort indicators being considered in said model to improve the system scheduling flexibility so as to construct an overall user satisfaction indicator; and finally, solving the double-layer optimization model to optimize device contributes, demand responses and electricity purchasing and selling plans of the building integrated energy system, so as to obtain an optimal scheduling policy. The present invention can finely regulate and control various loads of the building integrated energy system, thus improving the energy utilization efficiency, alleviating the power supply pressure of the system, and achieving the purposes of energy conservation and emission reduction of buildings.

The invention discloses a new energy charging pile charging control method and system, and relates to the technical field of new energy, and the method comprises the steps: collecting user historical charging data, power grid load data, fixed electricity price information and weather forecast data in real time, and recognizing user charging habits and demands; generating a personalized charging scheduling strategy according to the charging habit of the user and the real-time power grid state; the availability of various energy sources is monitored in real time, the generating capacity and the cost of each energy source are evaluated, the priority of energy source selection is adjusted by using a personalized charging scheduling strategy, and an optimal charging mode is automatically selected; executing charging operation based on the charging mode selected by the user, and performing adjustment according to the power grid load and the energy consumption condition; the availability of various energy sources is monitored in real time, the generating capacity and the cost are evaluated, and the priority of the energy sources is dynamically adjusted, so that the response capability of the charging pile to environment change is improved, the charging cost of a user can be reduced, and renewable energy sources are fully utilized.

The invention relates to the technical field of energy, and discloses a distributed electric power energy storage system and method, and the system comprises a decommissioned battery sorting and modularization module which is used for carrying out the performance evaluation, grading and standardized modularization processing of decommissioned power batteries; the energy storage unit module is used for assembling the retired batteries into an energy storage unit and storing and releasing electric energy; the energy management module is used for monitoring the running state of the energy storage unit and optimizing energy distribution; the communication network module is used for carrying out data transmission and cooperative control between the modules; and the power grid and user interface module is used for interacting the energy storage system with a power grid and a user side. According to the method, the energy scheduling unit can optimize the charging and discharging strategy of the energy storage unit in real time by combining reinforcement learning and federated learning algorithms, and meanwhile, the adaptability of a scheduling model in multiple scenes is improved by utilizing cooperative training of distributed nodes.

The invention relates to the technical field of new energy, in particular to a fan blade composite deicing system and method.The fan blade composite deicing system comprises a sensing layer, a decision-making layer, an execution layer and a feedback layer, and the decision-making layer comprises a graph neural network ice type recognition module, a CFD-icing coupling simulation module, a health management module and an energy consumption scheduling algorithm unit; the execution layer comprises a control unit and an execution unit, the control unit comprises a dynamic partition heating controller and a self-adaptive vibration controller, and the execution unit comprises an electric heating system and a vibration deicing system; compared with the prior art that a single deicing mode is usually adopted, and the adaptability to different ice type physical characteristics is poor, the scheme adopts a differential execution strategy, and partition electric heating control is carried out on different chord length areas of the blade based on the ice type recognition result; and high-frequency piezoelectric standing wave vibration is adopted for glaze ice, low-frequency eccentric wheel vibration is adopted for glaze ice, and the beneficial effects that the deicing efficiency is remarkably improved, invalid energy consumption is reduced, and damage to blades is reduced are achieved.

The invention discloses a plateau multi-energy complementary agricultural energy management system and a plateau multi-energy complementary agricultural energy management method, and belongs to the technical field of new energy. Wind, light and terrestrial heat multi-energy complementation is cooperated with a battery energy storage system and a phase change heat storage system, and a central intelligent management system is used for carrying out priority scheduling and real-time monitoring and prediction on a load; efficient energy supply of irrigation, processing and greenhouse heating is achieved, the renewable energy utilization rate and the load satisfaction degree are remarkably improved, the operation cost and environmental pollution are reduced, safe and efficient operation of the system is ensured, and good economic and environment-friendly effects are achieved.

The invention relates to the technical field of new energy, and particularly discloses a new energy short-term intelligent optimization scheduling method under high-proportion new energy grid connection, and the method comprises the steps: data collection and preprocessing, multi-source data fusion prediction, hierarchical supply and demand balance, distributed collaborative optimization, and real-time regulation and feedback. According to the scheme, a multi-time-scale hierarchical supply and demand balance mechanism is adopted, fine management of different scheduling targets is achieved, the supply and demand relation is coordinated in combination with a dynamic weight adjustment mechanism, key load requirements are met preferentially, economy and stability are considered, and meanwhile the real-time performance and adaptability of scheduling decisions are improved; a distributed collaborative optimization structure is designed, the adaptability and robustness of a scheduling system to operation environment changes are effectively enhanced, a global scheduling problem is decomposed into a plurality of regional sub-problems, parallel solution and asynchronous update are achieved, the scheduling efficiency and the computing resource utilization rate are improved, and the requirements for real-time performance and high concurrency of large-scale new energy grid-connected scheduling are met.

The invention relates to the technical field of energy, in particular to a dynamic self-adaptive control method and system for a gas-steam combined cycle unit, and the method comprises the steps: constructing a multi-modal model library comprising a plurality of operation modes; operating parameters and environment parameters of the unit are collected in real time, and multi-source data fusion and system state evaluation are carried out; carrying out multi-time scale prediction on the load demand, fuel characteristics and environmental parameters of the unit based on a deep learning model; dynamically selecting model precision according to a prediction result, and implementing a multi-mode collaborative optimization decision to generate a control instruction; and executing the control instruction and monitoring an execution effect, and carrying out adaptive adjustment on model parameters and strategies according to feedback. According to the method, the unit can maintain efficient and stable operation under the scenes of power grid peak regulation, rapid load fluctuation, complex environment change and the like, meanwhile, pollutant emission is reduced, and the service life of key equipment is prolonged.

The invention provides a new energy station digital intelligent operation system, a control method, equipment and a medium, and relates to the technical field of new energy. According to the system, a marketization electricity price prediction result and a new energy output prediction result are output through an electricity price prediction module and a new energy output prediction module respectively, and an energy storage optimization scheduling module and a planning layout decision module work cooperatively. And combining the marketization electricity price prediction result and the new energy output prediction result to realize operation strategy optimization and capacity configuration decision of the new energy station, and solving and outputting a capacity configuration scheme corresponding to the new energy device and the energy storage device. According to the technical scheme, the multi-module collaborative new energy station digital intelligent operation system is constructed, so that full-link closed-loop optimization from prediction to scheduling to planning is realized, the adaptability of the system to power market fluctuation can be remarkably enhanced, and the operation income of the new energy station is ensured.

The invention provides a new energy storage optimization system and method, a storage medium and electronic equipment, and relates to the technical field of new energy. The system comprises an energy storage equipment state evaluation module which is used for obtaining real-time operation data of energy storage equipment and evaluating the health state of the energy storage equipment in combination with historical charging and discharging data of the energy storage equipment; the power grid load demand prediction module is used for determining a target power grid load demand through a trained load prediction model based on the power grid load data and the external environment data; and the energy storage equipment scheduling optimization module is used for determining charging and discharging adjustment parameters of the energy storage equipment by utilizing a scheduling optimization model based on the health state of the energy storage equipment and the target power grid load demand, and adjusting the charging rate and the discharging power of the energy storage equipment according to the charging and discharging adjustment parameters. According to the invention, dynamic optimization scheduling is carried out on the energy storage equipment, so that the service life of the energy storage equipment can be prolonged, the energy utilization efficiency of the energy storage system is improved, and the stability of the energy storage system is improved.

The invention provides a resource intelligent bus and task parallel hydrogen energy data scheduling optimization method and system, relates to the technical field of energy, and aims to solve the problems of resource heterogeneity, lack of real-time performance and dynamic adjustment, insufficient energy efficiency optimization, poor adaptability to abnormal working conditions and the like in the prior art. According to the method, a resource intelligent bus architecture is constructed, and the resource intelligent bus architecture comprises a resource virtualization encapsulation layer, a resource state sensing layer and a global prediction and scheduling layer; in the resource state sensing layer, performing multi-granularity task decomposition on hydrogen energy business requirements, and establishing an inter-task dependency relationship model by adopting a directed acyclic graph; in the global prediction and scheduling layer, a multi-objective optimization model is constructed based on a dependency relationship between resource states and tasks, and resources and tasks are dynamically matched according to an optimal solution of the model; and dynamically scheduling the resources according to a matching result of the resources and the tasks. The problems in the prior art are solved, and the hydrogen energy data scheduling optimization performance is improved.

The invention discloses a new energy intelligent safety team system, and relates to the technical field of new energy, the new energy intelligent safety team system comprises a central regulation and control module, the central regulation and control module is in communication connection with a field operation management module, an educational training module, a risk pre-control module, a hidden danger checking and emergency management module and an intelligent hardware integration module, and the field operation management module is used for providing operation guidance for team personnel through the intelligent terminal, pushing safety risk information in an operation environment in real time, and performing task allocation, progress tracking and completion condition feedback. According to the invention, by monitoring key information such as the working state of team personnel, the equipment operation condition and the environmental parameters in real time, abnormal or potential risks are found in time, and related information is automatically pushed to management personnel, so that the safety management capability of the team is enhanced, safety accidents are effectively prevented, and the safety of personnel and property is guaranteed.

The invention relates to the technical field of new energy, and particularly discloses a new energy heavy truck energy-saving path planning method and electronic device.The new energy heavy truck energy-saving path planning method comprises the steps that a layered road network based on an energy consumption model is constructed, and the layered road network divides a road into multiple levels through a comprehensive weight formula, wherein the high-level road network comprises low-energy-consumption main roads, and the low-level road network comprises all road types; and on the basis of vehicle real-time state parameters and destination information, a two-way A algorithm is adopted to carry out path search in the layered road network, the two-way A algorithm is synchronously expanded from a starting point and an ending point, and the search direction is optimized on the basis of a dynamic heuristic function. According to the new energy heavy truck energy-saving path planning method provided by the embodiment of the invention, three major pain points of high energy consumption, difficult energy complementation and poor real-time performance in new energy heavy truck path planning are optimized and solved through modules of layered road network construction, dynamic weight adjustment, bidirectional A * algorithm optimization and the like, and the energy complementation bottleneck problem of the new energy heavy truck is solved.

The invention belongs to the technical field of new energy, and particularly relates to a building configuration method and system for an energy storage system, and the method comprises the steps: obtaining the configuration information of a data collection interface at regular time, and transmitting a message supported by the current communication configuration to the data collection interface, thereby obtaining a connection device; based on the communication parameters of the new access device, searching a communication protocol corresponding to the new access device to obtain the type of the new access device, constructing a device identification instruction to execute query operation, obtaining and analyzing response information returned by the new access device, performing matching identification on the response information and device information in a local communication protocol library, and sending the response information to the local communication protocol library; searching all measuring points of the new access equipment to obtain measuring point data types and measuring point data access permissions, and constructing a measuring point data set; and taking the measuring point data set and the access interface information of the new access equipment as input parameters, calling a local controller configuration program of the energy storage system to perform automatic application of communication configuration, obtaining final communication configuration information and equipment information, and generating a configuration file.

The invention relates to the field of new energy technology and power electronics, and discloses a photovoltaic diesel generator energy storage hybrid off-grid and grid-connected household energy storage system, which comprises a data acquisition and state monitoring module for acquiring photovoltaic, diesel generator, energy storage, load and commercial power states in real time and generating system state parameters; the central control and decision module generates a control strategy containing an operation mode and an energy scheduling instruction; the energy flow and conversion execution module executes energy conversion and flow; the seamless switching control module realizes non-impact switching between modes; the self-adaptive safety protection module dynamically adjusts protection parameters; and the emergency response and recovery module executes black start and active recovery in an emergency state. According to the invention, through the unified central control and decision-making module, photovoltaic, diesel generator, energy storage and commercial power scheduling logics are integrated to form a collaborative energy management core, and the system can carry out global optimization on energy flow in grid-connected and off-grid modes according to a preset priority principle.

The invention relates to the technical field of energy conservation and new energy, and discloses an electric vehicle integrated heat management system which comprises a refrigerant loop and a cooling liquid loop. The refrigerant loop and the cooling liquid loop realize heat interaction through the plate heat exchanger; a compressor, an eight-way valve, an in-cabin heat exchanger, a gas-liquid separator, a first heating assembly, a first electronic expansion valve, a second electronic expansion valve, a third electronic expansion valve, a battery direct cooling plate and a first external heat exchanger are arranged on the refrigerant loop; a radiator, a three-way water valve, an electric driving system, a motor water pump, an expansion water tank, a second external heat exchanger and a second heating assembly are arranged on the cooling liquid loop. The problems that a battery electric vehicle thermal management system is numerous in component, complex in loop and high in failure rate are solved.

The invention relates to the technical field of new energy, and discloses a battery and a battery pack. A pole; the laminated battery cell comprises a battery cell body and a tab extending from one end of the battery cell body along the first direction; the pole lugs are electrically connected with the pole columns; the tabs comprise a positive tab and a negative tab, and the positive tab and the negative tab are both located at the same end of the battery cell body in the first direction; the positive electrode lug and the negative electrode lug are arranged at an interval along a second direction, and the second direction is perpendicular to the first direction; the spacing distance between the positive pole lug and the negative pole lug along the second direction is a1, the width of the laminated battery cell along the second direction is a2, a = a1 / a2, the length of the battery cell body along the first direction is b, and b.a is more than or equal to 8mm and less than or equal to 350mm. According to the battery provided by the invention, the over-large b.a easily causes the increase of the over-current demand of the battery cell and the reduction of the area of the welding region. And too small battery energy density is low.

The invention discloses a harmonic suppression method for a network construction type optical storage converter, and belongs to the technical field of new energy. According to the method, the operation of the photovoltaic inverter is adjusted through a constant voltage control strategy, remarkable advantages are shown, the energy loss is effectively reduced by inhibiting the photovoltaic inter-harmonics, and the operation stability of the system is improved. The photovoltaic power fluctuation can be obviously reduced, the energy storage control cost is effectively reduced, and the service life of energy storage equipment is prolonged. Meanwhile, the grid-connected performance is excellent, the distortion rate of grid-connected voltage and current can be reduced, and the electric energy grid-connected quality is improved. In addition, a network construction control method is introduced into the system, the network voltage can be effectively supported, the network frequency can be flexibly adjusted, and the adaptability and supporting capacity of the system to network operation are enhanced. According to the invention, stable operation requirements in different grid-connected environments can be met. The method has important technical innovation in the aspects of improving the operation efficiency, the reliability and the system coordination, and has extremely high application and popularization values.

The invention provides a modified lithium-rich manganese-based positive electrode material, a preparation method thereof and a lithium ion battery, and relates to the technical field of new energy. According to the modified lithium-rich manganese-based positive electrode material disclosed by the invention, multi-element point position doping is carried out on a base material to enhance the structural stability of a polycrystalline material, inhibit transition metal ion migration and interlayer dislocation, improve the internal lattice strength and manufacture a stable base material core; the heterostructure layer can greatly improve the surface structure phase change and transition metal dissolution of the material surface under high voltage, the stability of the surface of the matrix material is improved, and the rate capability of the material can be improved by the in-situ generated three-dimensional ion channel; the coating layer can effectively reduce side reaction of a solid-liquid interface, improve dissolution of metal ions on the surface and improve the cycle performance of the material; in a word, the internal structure and the surface of the material are effectively modified mainly through three means of doping, interface structure design and coating, the multiplying power of the material can be greatly improved, and the long-term service life of the material can be greatly prolonged.

The invention relates to the technical field of new energy, and discloses a hybrid energy system and a task scheduling optimization method and device thereof, and a storage medium. For the hybrid energy system with wide distribution and strong heterogeneity, edge gateway devices arranged in different regions are used for carrying out multi-source data acquisition on all energy devices in the regions; a dynamic environment state space is constructed according to the collected multi-source data, task scheduling is carried out by utilizing a locally deployed task scheduling model, tasks are executed in cooperation with other surrounding edge gateway devices, and the local task scheduling model is dynamically optimized and updated according to a task execution result; according to the method, resources of each edge gateway device can be reasonably utilized, resource allocation can be automatically realized, cloud centralized scheduling is not needed, task time delay is greatly reduced, the reliability of task execution is improved, accurate matching of tasks and resources is guaranteed, and by dynamically optimizing a local task scheduling model, the task scheduling efficiency is improved. And the task scheduling efficiency and accuracy are further improved.

The invention relates to the technical field of new energy, and discloses an independent energy supply system suitable for a high-altitude area and a control method thereof, electric power is generated through photovoltaic power generation, part of the electric power is stored in a storage battery, and the residual electric power is used for electrolyzing water to prepare hydrogen and oxygen, and the hydrogen and the oxygen are respectively stored. The oxygen content in the air is increased by mixing the oxygen, the oxygen and the hydrogen jointly enter the fuel cell for chemical reaction, and stable electric power and hot water are output. In order to ensure the stability of the system, a low-temperature air source heat pump is configured to serve as standby heat supply equipment, and accurate adjustment and storage of electric power are achieved through cooperative work of a load tracking module and an efficient storage battery. According to the system, photovoltaic power generation, hydrogen energy storage and fuel cell technologies are combined, continuous and reliable power and heat combined supply can be achieved in high-altitude areas lack of power grid support, and an efficient and environment-friendly solution is provided for energy supply in remote areas.

The invention discloses a wind power generation device with a heat dissipation mechanism, and relates to the technical field of renewable energy sources, the wind power generation device comprises a box body, a power generator is arranged in the box body, a gear box is arranged on the inner wall of the box body, after fan blades are driven by wind power, the power generator converts high-speed rotating mechanical energy transmitted by the gear box into electric energy, and the electric energy is transmitted to the heat dissipation mechanism. The heat dissipation nets need to be cleaned after being used for a long time, manual cleaning work cannot be carried out under the severe weather condition, the heat dissipation nets are possibly not cleaned in time, normal operation of the wind power generation device is affected, the heat dissipation nets are cleaned through the scraper blades through wind power, and the heat dissipation efficiency of the three heat dissipation nets is further improved. After the scraping plate is used for a long time, a large number of impurities can be attached to the surface of the brush, the brush can vibrate through striking of the striking rod, and therefore dust and the impurities on the brush are shaken off and prevented from polluting the heat dissipation net again.

The invention discloses a photovoltaic power generation prediction method and device based on digital twinning and a medium, and relates to the technical field of new energy, and the method comprises the steps: constructing a three-dimensional geometric model of a photovoltaic power station; acquiring electrical parameters and environmental data of each component in the photovoltaic power station, and inputting the electrical parameters and environmental data into the three-dimensional geometric model according to the three-dimensional coordinates corresponding to the components to form a digital twinborn model; outputting a future environment data sequence in a preset time period based on the environment data through a trained generative model, and inputting the future environment data sequence into a digital twinborn model; performing power generation simulation through a digital twinborn model to obtain a power prediction value in a preset time period; and adjusting model parameters of the digital twinborn model according to the power predicted value and the actual power. And in combination with a high-resolution future environment sequence output by the generative model, power generation simulation of the digital twin model is fully fused with physical position characteristics and meteorological evolution laws.

The invention provides a thermal power generating unit deep peak regulation energy consumption analysis method, which relates to the technical field of electrical energy and comprises the following steps: monitoring unit equipment in real time to obtain key equipment data and transmitting the key equipment data to a data management system; the data management system evaluates the overall efficiency of the thermal power generating unit based on the received key equipment data to obtain an energy consumption evaluation result; performing thermal efficiency prediction and load optimization analysis on the thermal power generating unit, and determining a real-time adjustment strategy to optimize and adjust the thermal power generating unit in combination with an energy consumption evaluation result; a dynamic efficiency map is created. Key equipment data are collected in real time and transmitted to a data management system; the data management system performs energy consumption evaluation, thermal efficiency prediction and load optimization analysis according to the key equipment data to determine a real-time adjustment strategy to optimize and adjust the thermal power generating unit; the dynamic efficiency map is created, the energy consumption state of the thermal power generating unit under various loads and deep adjustment is displayed, fine management of energy consumption in the thermal power generation process can be achieved, and the energy utilization efficiency is improved.

The invention relates to a method for calculating annual energy production of an offshore wind power plant suitable for a wind-light same-field situation. The method is suitable for comprehensive energy technology. According to the method, a photovoltaic panel unit is equivalent to a small wind turbine, a wind power plant equivalent roughness calculation model in a Frandsen model is introduced into photovoltaic panel array equivalent roughness calculation, approximate calculation of the photovoltaic panel array equivalent roughness is achieved, the hub height wind speed in inflow is corrected based on the photovoltaic panel array equivalent roughness, and the wind power generation efficiency is improved. And correcting a wake flow attenuation coefficient, so that the influence of the photovoltaic panel is introduced into the inflow wind field and wind turbine wake flow evolution calculation, and the actual situation of the wind-light same-field situation can be better reflected. Virtual wind turbines are introduced to quantify the influence of wake reflection caused by photovoltaic panels on wake interference between the wind turbines. The virtual wind turbine and the real wind turbine are arranged on a mirror symmetry plane, and the mirror symmetry plane is determined based on the equivalent roughness of the photovoltaic panel array so as to accurately reflect the actual situation of wake flow reflection.

The invention discloses a method and a system for calculating energy consumption of a coupler system in the running process of a railway wagon, and relates to the technical field of crossing of railway vehicle dynamics and green energy technologies. The multi-source energy consumption dynamic coupling model comprises a car coupler gap collision area, a sliding friction area between car couplers, a car coupler-slave plate seat impact area, a car coupler-carrier wearing plate fretting wear area and a buffer damping area; based on the energy flow topology network, determining an energy transfer priority and efficiency matrix in the multi-source energy consumption dynamic coupling model; and generating an energy consumption probability density function based on a generalized polynomial chaos expansion method, and outputting a low-carbon design parameter set and total energy consumption. According to the method, high-precision calculation and low-carbon design optimization of the full-life-cycle energy consumption of the coupler system are realized, and a core theoretical support is provided for green transformation of railway freight.

The invention relates to the technical field of hybrid energy, and particularly provides a self-adaptive power distribution multi-source parallel mobile power supply system which comprises a multi-source input interface, a multi-channel input adjusting module, an energy storage module, an energy storage bidirectional adjusting module, a self-adaptive power distribution module and a power output interface. The method is characterized in that an MPPT algorithm is independently executed for each heterogeneous power supply through a multi-channel input adjusting module, and energy extraction is maximized; based on load detection and a multi-stage feedback mechanism, dynamic self-adaptive power distribution is realized; a multi-channel input end is adjusted into a unified standard bus voltage, and an output end dynamically adjusts the voltage according to a load, so that the energy conversion efficiency is improved while the use convenience is ensured; and the standard lithium battery units spliced without tools and the modular circuit design are adopted, so that the flexible combination and disassembly of the system are realized. According to the invention, the complexity of the hybrid energy system is greatly reduced, the system stability is improved, and efficient and lightweight hybrid energy mobile power supply is realized.

The invention discloses an efficient ammonia decomposition hydrogen production system based on the Joule heating effect and belongs to the technical field of clean energy. The system is composed of an ammonia supply module, a Joule thermally driven ammonia decomposition reaction module and a hydrogenation module. Wherein the ammonia supply module consists of a liquid ammonia storage device, a vaporizing chamber and an ammonia gas storage device; the Joule thermally-driven ammonia decomposition reaction module consists of an ammonia gas flow control valve, a reaction tube gas inlet, a reaction tube gas outlet, a Joule heating electrode tip, a direct-current power supply, a temperature sensor, a thermal insulation layer, a reaction tube, a catalyst and a stainless steel alligator clip; the hydrogenation module is composed of a hydrogen purifying and drying device, a hydrogen compressor, a hydrogen cooling unit, a high-pressure hydrogen storage tank, a hydrogen flow control valve and a hydrogenation machine. The whole process can be started and stably output within one second, the conversion rate and the electrothermal conversion efficiency both exceed 90%, low energy consumption, quick response and safe operation are achieved, the system is particularly suitable for hydrogen refueling station construction in a future hydrogen energy network, and green hydrogen energy economy development is promoted.

The invention provides a mixed solid electrolyte coated positive electrode material and a preparation method thereof, a positive plate, a solid-state battery and power-related equipment, and relates to the technical field of new energy. The mixed solid electrolyte-coated positive electrode material provided by the invention comprises a positive electrode material and a mixed solid electrolyte coating the surface of the positive electrode material, wherein the mixed solid electrolyte comprises an oxide solid electrolyte, a sulfide solid electrolyte and a halide solid electrolyte. According to the positive electrode material wrapped by the mixed solid-state electrolyte, the oxide solid-state electrolyte provides mechanical properties, the sulfide solid-state electrolyte provides ionic conductivity, the halide solid-state electrolyte provides a stable interface, and the combination of the three solid-state electrolytes can effectively improve the structural stability and conductivity of the positive electrode material; therefore, the cycling stability of the battery is improved.