2349 results about "Supply energy" patented technology

The present disclosure relates to the technical field of intelligent monitoring and management of power systems, and specifically relates to an intelligent collaborative power consumption regulation and control method, apparatus and system for source-grid-load-storage, an electronic device and a storage medium. Said system comprises an energy regulation and control center and energy regulation and control units provided in microgrids; the energy regulation and control units use a temporal attention mechanism-based LRCN dual-layer network combined model to predict power consumption amounts, so as to generate power consumption surpluses and shortages within a future preset time; and on the basis of the power consumption surpluses and shortages and latest current electricity prices of the microgrids, the energy regulation and control center uses a fusion multi-objective algorithm based on a Pareto front curve and a fuzzy algorithm to generate a microgrid collaborative power consumption regulation and control solution, and sends the regulation and control solution to the energy regulation and control units for execution, so as to ensure the balance of energy supply and demand of the microgrids. Therefore, the present disclosure achieves efficient, intelligent and refined energy management for microgrid clusters, reducing energy consumption and costs, and providing solid support for sustainable development of microgrids.

The invention relates to an electric energy comprehensive management control method for high and low load working conditions, and belongs to the field of energy supply system control. The method comprises the following steps: acquiring current operation information of an energy supply system, including a working condition mode, a target power demand and a battery state of charge (SOC) value, and further judging a working condition type and calculating a total power demand value of the system; on the basis, a power distribution scheme of a power generation unit and a battery is judged according to an SOC value and a power demand: under a normal working condition, the balance of power generation and battery charging and discharging is realized by setting an SOC threshold interval, and under an emergency working condition, the maximum rate discharging of the battery is dynamically controlled or the charging current is limited to cope with load fluctuation. According to the system, the bus voltage and the SOC are maintained in a safe range through a closed-loop regulation mode, so that the stability and the response capability of the energy supply system are improved.

The invention provides a flexible preparation system and method for sustainable aviation fuel, and the system comprises a green power supply module which is used for outputting fluctuating green electric energy; the process execution device is connected with the green power supply module and comprises five process modules, namely an air carbon capture module, a co-electrolysis module, a Fischer-Tropsch synthesis module, a hydrogen production module and a hydrogenation refining module; the data acquisition module is used for acquiring the temperature, the pressure, the liquid level, the raw material input flow and / or the product output flow of each process module in the process execution device; and the decision control module is used for predicting the future power supply condition of the green electricity based on the historical weather data of the green electricity location, adjusting the distribution of the power in each process module according to the future power supply condition, and adjusting the temperature, pressure and / or raw material input flow in each process module. According to the invention, the cost, the reliability, the operation and maintenance performance, the product quality and the green power utilization rate can be substantially improved at the same time, and the flexible and stable operation of the system under the green power condition is realized.

The invention relates to a virtual power plant scheduling method considering source-load coupling and multi-agent game. The method comprises the following steps: establishing a multi-temporal-spatial-scale model of a multi-energy system in a virtual power plant; the uncertainty of the source load is quantified; on the basis of quantification of source load uncertainty and a multi-temporal-spatial-scale model, a multi-subject scheduling model under a master-slave game framework is constructed, and in the multi-subject scheduling model, a VPP operator serves as a leader, and the market is regulated and controlled through dynamic electricity price and heat price; an energy supply aggregator, a user side aggregator and a carbon processing aggregator are used as followers, unit output, load adjustment and carbon processing strategies are optimized respectively, the two parties perform multi-stage dynamic gaming to form balance, and the user side aggregator comprises CSRLA and EVA; and solving the multi-subject scheduling model to obtain a virtual power plant scheduling optimization strategy. Compared with the prior art, the method has the advantages of realizing dynamic balance of interests of multiple parties, privacy protection and the like.

The invention discloses a fuel cell coupled flow battery energy supply system and an operation control method thereof. The energy supply system comprises a basic energy supply unit, an energy storage peak regulation unit, a renewable energy power generation unit, an electrolytic hydrogen production unit, a hydrogen storage unit, a first-stage waste heat recycling unit, a second-stage waste heat recycling unit and a heat storage unit. The basic energy supply unit is used for providing a basic power load of the target building group; the energy storage peak regulation unit is used for providing fluctuation power load of the target building group; the first-stage waste heat recycling unit receives first-stage waste heat generated by power generation of the fuel cell and is used for indoor heating or indoor refrigeration. And the second-stage waste heat recycling unit directly receives the first-stage waste heat or second-stage waste heat from the first-stage waste heat recycling unit and is used for preheating the electrolyzed water and / or the hydrogen storage unit. By arranging the first-stage waste heat recycling unit and the second-stage waste heat recycling unit, waste heat is utilized in a multi-stage mode according to requirements, and the waste heat utilization rate is high.

The invention belongs to the technical field of charging pile thermoelectric control, and particularly relates to a high-power liquid cooling charging pile charging power optimization scheduling method and system. The method comprises the following steps: collecting operation state parameters of a plurality of liquid cooling charging piles; identifying a target pile body in a charging state or a standby state; calculating a theoretical energy supply upper limit based on an electrothermal model; combining the vehicle charging demand, the priority, the battery state and the power grid load to construct a power scheduling model and execute distribution; power adjustment and redistribution are carried out when cooling abnormity or connection faults are detected; and finally, a scheduling control instruction is generated and executed in real time. The system comprises an information acquisition module, a state identification module, a model calculation module, a power distribution module, a dynamic adjustment module and an instruction issuing module. According to the invention, efficient, safe and dynamic power scheduling control of the high-power liquid cooling charging pile in a multi-device parallel connection scene is realized.

The invention relates to the technical field of downhole operation control, in particular to a downhole operation platform control system and a crane, and the system comprises a task identification module, a demand index module, a power sequencing module, a rhythm switching module and a command reconstruction module. According to the method, through accurate recognition of the structure state and parameter linkage, accurate judgment of the initial operation stage is achieved, false starting and false action of the platform are avoided, coupling analysis between operation data can dynamically set the scheduling priority, it is guaranteed that key tasks are executed in advance, coordination is improved, energy supply conditions are judged through power parameter fusion, and paths are distributed according to needs; the energy utilization efficiency is enhanced, stage rhythm conversion achieves stable switching based on action states and logic mapping, action disjunction is prevented, finally, control instructions are rearranged through feedback time delay and an execution sequence, an efficient and ordered response mechanism is formed, the overall operation efficiency, stability and the intelligent level are improved, and the risk of manual intervention and operation imbalance is reduced.

The invention discloses an urban energy network intelligent allocation method and system, and the method comprises the steps: obtaining building energy consumption data and energy supply network topology information, building a supply and demand matching reference, recognizing a load peak value dense time period and a peak clipping and valley filling potential region, and exporting transferable load data to form a regional supply and demand distribution diagram; generating a peak shifting adjustment space in combination with the user response delay duration and the equipment start-stop period; performing gap matching analysis on the regional supply and demand distribution map and the peak shifting adjustment space, creating a hierarchical regulation instruction set, and differentially generating an instant response instruction and a delay response instruction; a regulation and control coordination parameter is formed through coordination configuration of the peak shifting revenue coefficient and the instant response instruction; finally, a regulation and control execution range is determined, cost benefit evaluation is implemented, an urban-level energy scheduling execution scheme is formed, accurate matching and efficient scheduling of urban energy supply and demand are achieved, and comprehensive and efficient scheduling decision support can be provided for application scenes such as an intelligent power grid, regional heat supply and comprehensive energy service.

The invention discloses a two-phase cold plate liquid cooling ORC waste heat recovery and photovoltaic cooperative energy supply system and method, and relates to the technical field of energy management and waste heat utilization. The two-phase cold plate liquid cooling ORC waste heat recovery and photovoltaic cooperative energy supply system and method comprises the following steps that S1, thermal parameters and electric power states related to cooperative energy supply are collected, and a thermoelectric cooperative input data set is constructed and preprocessed; s2, the supply and demand difference of the high-temperature steam in the main condensation branch and the ORC branch is recognized; s3, coordinating a photovoltaic power supply structure and a cooperative energy supply sequence, and judging the matching degree of cooperative energy supply to a load; and S4, evaluating a cooling, heating and power cooperation and double-source coupling state in combination with a load matching condition and an output behavior. The problems that in an existing two-phase cold plate liquid cooling structure, high-temperature steam is not recycled, photovoltaic power generation does not participate in linkage energy supply, the power source is single, waste heat waste is serious, and energy collaboration is insufficient are solved.

The invention, which relates to the technical field of energy system regulation and control, provides a seasonal multi-scene-driven adaptive regulation and control system for a park integrated energy system, comprising a seasonal feature intelligent extraction module, a multi-scene plan library construction module, a three-party non-cooperative game model module and an adaptive execution module. The seasonal feature intelligent extraction module is used for decomposing historical load data, extracting seasonal feature parameters and generating an energy supply priority sequence; the multi-scene pre-arranged plan library construction module is used for constructing a regulation and control pre-arranged plan for coping with electricity price fluctuation, equipment faults, extreme weather and production scheduling, and realizing multi-target dynamic balance; the three-party non-cooperative game model module is used for defining strategy spaces and revenue functions of an energy supply side, an energy consumption side and an energy storage side; according to the method, through dynamic operation of the seasonal feature vector and the load incidence matrix, accurate adjustment of the energy supply priority is achieved, the refrigeration power supply response time in summer is shortened, and the waste heat recovery efficiency in winter is improved.

The invention provides a building energy consumption real-time monitoring and carbon emission evaluation method based on digital twinning, and the method comprises the steps: obtaining regional energy supply real-time data and building group load demand data, predicting an energy supply fluctuation trend and a load change trend, and obtaining a short-term supply and demand dynamic prediction result; adjusting the operation mode of the building group combined cooling heating and power system in real time according to the mode switching optimization scheme, dynamically matching the output change of the distributed energy, and feeding back the output change to the digital twinborn model; carbon emission data is extracted from the optimized load distribution scheme, a digital twinborn model is used for predicting the total carbon emission amount and peak value change trend, the threshold value and constraint of carbon emission control are adjusted, and a final energy scheduling scheme is generated; and obtaining operation data according to the final energy scheduling scheme, calculating the energy utilization efficiency and the carbon emission reduction amount of the building group through an energy efficiency evaluation method preset in the digital twin model, and obtaining an execution effect evaluation result of the scheduling scheme.

The invention relates to the technical field of computer systems based on specific calculation models, and discloses a control method and system for an intelligent calculation center comprehensive energy supply device, and the method comprises the steps: collecting the operation data of energy supply equipment and an environment sensor in real time through an SCADA system, and carrying out the preprocessing; based on the collected data and simulation data generated by a simulation environment, performing offline mixed training on the reinforcement learning model to generate an energy scheduling strategy; inputting a real-time state into the trained reinforcement learning model to generate a preliminary scheduling instruction, performing security verification and interpretability analysis by using a large language model, and optimizing a strategy; and fusing the preliminary scheduling instruction with the suggestion of the large language model, generating a final scheduling command through the energy router control unit, and issuing the final scheduling command to the energy supply equipment for execution. The problems that in the prior art, black box decision making and simulation are not accurate, and experience is difficult to solidify are solved, and the purposes of decision making transparency, simulation high fidelity and experience structuring are achieved.

An electromechanical brake system (10) includes a first energy supply apparatus (20) and a second energy supply apparatus (21), a first system control device (30) and a second system control device (31), a plurality of electromechanical brake actuator devices (41), and a first plurality and a second plurality of electronic brake control systems (40a, 40b). Each of the electronic brake control systems is set up to control one of the electromechanical brake actuator devices. The first energy supply apparatus is connected to the first system control device and to each of the first electronic brake control systems, and the second energy supply apparatus is connected to the second system control device and to each of the second electronic brake control systems. A further control device (32, 47) may be connected to at least one of the first electronic brake control systems or one of the second electronic brake control systems.

The invention relates to the technical field of automobile energy supply, in particular to a solid hydrogen storage-fuel cell integrated power assembly system based on dual-mode hydrogen supply, which comprises a hydrogen supply path identification module, a hydrogen storage unit state monitoring module, a linkage path switching module, a fuel cell load matching module and a safe hydrogen discharge regulation and control module. According to the method, the hydrogen supply pressure difference value is obtained by dynamically comparing the pressure of the cavity of the hydrogen storage tank with the pressure of the hydrogen inlet of the fuel cell, the current hydrogen supply path state can be accurately recognized in the early stage, rapid judgment of the hydrogen supply mode and accurate control of path switching are achieved, whether the risk of hydrogen supply interruption exists or not can be effectively screened, and the reliability of hydrogen supply is improved. The switching reliability of a hydrogen supply channel is improved through cross comparison of key state signals of a main channel and a standby channel, and instant response and energy consumption optimization of hydrogen discharge safety regulation and control are guaranteed through a linkage feedback mechanism between the hydrogen concentration change rate in unit time and catalytic converter control power.

The invention discloses an air conditioner energy storage system based on intelligent control and a peak-valley electricity price utilization method, and relates to the technical field of air conditioner control. Comprising an energy storage module, an air conditioner module and an intelligent control module. And the intelligent control module is set to dynamically solve an optimal control sequence through a model prediction control algorithm based on predicted environmental parameters, electricity price information and user requirements in a future time period by taking the lowest operation cost as a target, and to control the start, stop and power of the valve, the refrigeration host and the associated water pump, so that the optimal control sequence is obtained. Therefore, the system preferentially charges the energy storage module in the electricity price valley section and preferentially utilizes the energy storage module to supply energy in the electricity price peak section, the load can be accurately predicted, the energy storage state can be sensed in real time, the air conditioner host and the energy storage device can be dynamically and intelligently coordinated in the whole operation period based on a multi-target optimization algorithm, and the energy storage efficiency is improved. Therefore, the peak-valley price difference is utilized to the maximum extent on the premise of ensuring the comfort of the user.

The invention discloses a photovoltaic photo-thermal coupling hydrogen production system control method for a hydrogen-burning heavy truck traffic network. The method comprises the following steps: S01, collecting operation data of a photovoltaic array, an electrolytic cell and a hydrogen storage tank; s02, based on a model prediction control algorithm, establishing a multi-objective optimization model containing an objective function and constraint conditions; s03, merging the sub-objective functions into a comprehensive objective function through a linear weighting method; s04, applying constraint conditions; S05, performing rolling optimization calculation by adopting a model prediction control algorithm; s06, outputting an optimal control variable; s07, adjusting corresponding parameters in the system; s08, monitoring the running state of the system; s09, whether the system meets constraint conditions is judged, according to the control method, through multi-target collaborative optimization and precise constraint control, the performance, efficiency, economical efficiency and safety of the photovoltaic photo-thermal coupling hydrogen production system can be remarkably improved, and clean, efficient and stable hydrogen energy supply is provided for a hydrogen combustion heavy truck traffic network.

The invention discloses an offshore multi-energy combined supply system based on constant-pressure compressed carbon dioxide energy storage and an operation method of the offshore multi-energy combined supply system. The system comprises a working medium storage device, a heat energy storage device, a charging process module, a gas-liquid conversion loop, a discharging process module, a cold energy supply module and a heat energy supply module. By improving the energy release process structure of the compressed carbon dioxide energy storage system, the pressure of high-pressure carbon dioxide is reduced to normal pressure after primary expansion, so that low-temperature cold energy is generated while power is generated, consumption of stored heat is saved, residual stored heat is used for heat supply, the comprehensive utilization rate of energy is increased, and combined supply of cooling, heating and power is achieved; the system further comprises an integrated thermally-driven combined cooling and power supply subsystem capable of switching power generation / refrigeration modes, organic Rankine cycle and jet refrigeration cycle are highly integrated, investment cost and space occupation are reduced, redundant heat energy is flexibly and efficiently converted into electric energy or cold energy, and the flexibility of multi-energy combined supply of the system is improved.

The invention relates to a heat pipe energy pile, a heat pipe ground source heat pump system and an operation management method of the heat pipe ground source heat pump system, and solves the technical problems that an existing ground source heat pump needs extra power, is high in energy consumption and is difficult to adapt to winter and summer two-way energy supply, and the system comprises a pile foundation, a heat pipe, a heat exchanger and a heat pump unit. The heat pipe is combined with the pile foundation, is a vacuumized closed pipe body which is provided with a capillary core and filled with a phase change working medium, and is divided into an evaporation section at the lower part / side part of the pile foundation and a condensation section at the upper part of the pile foundation; the evaporation section exchanges heat with soil, the condensation section is connected with a heat exchanger, and the heat pump ground source side is connected with the heat exchanger; the capillary core drives a working medium to flow back autonomously through capillary force, and heat transfer or release is achieved. The system has the following effects that the contradiction between low consumption and annual energy supply in the prior art is solved, no extra power is achieved, two-way efficient energy supply in winter and summer is achieved, and energy consumption of a building cold and heat source system is greatly reduced.

The invention provides an integrated energy system operation optimization method considering a source-load fusion scene, and relates to the technical field of energy optimization, and the method comprises the steps: constructing a typical output scene based on historical renewable energy output data; fusing the typical output scene with the electric-thermal load data in the corresponding time period to generate a typical scene sequence representing source-load correlation; taking the comprehensive operation cost as a target, establishing a scheduling optimization model for simultaneously constraining the electricity-heat balance, the equipment output and the energy storage state, and embedding the typical scene sequence into the scheduling optimization model; solving the optimization model to obtain a multi-period optimal scheduling strategy; and controlling energy supply and storage equipment in the integrated energy system according to the scheduling strategy. According to the method, the optimal energy supply scheme of the comprehensive energy system capable of effectively avoiding the uncertainty of the source load is generated for a typical source load fusion scene, the economic benefit of the system is effectively improved on the basis of ensuring energy supply safety, and multi-target balance of economy and reliability is realized.

The invention provides an independent micro-grid electricity-hydrogen energy storage planning method considering energy supply reliability, and belongs to the field of independent micro-grid energy storage system optimal configuration, and the method comprises the steps: firstly constructing a target function with the minimization of the total cost of a system as a target, and covering the electricity-hydrogen energy storage configuration cost, the loss load cost and the abandoned wind and light cost; secondly, establishing constraint conditions considering energy supply reliability, including loss-of-load constraint, abandoned wind and light constraint, system operation characteristic constraint and the like; and finally, enabling the established planning model to be equivalent to a double-layer optimization model: an upper layer planning layer optimizes electricity-hydrogen energy storage configuration capacity, a lower layer operation layer simulates independent micro-grid operation scheduling, an upper layer transmits the configuration capacity to a lower layer, and the lower layer feeds back a load loss amount and a wind curtailment amount obtained by operation simulation to the upper layer. And finally obtaining an electricity-hydrogen energy storage configuration strategy. The method provided by the invention can effectively meet the energy supply reliability requirement of the independent micro-grid.

The embodiment of the invention discloses an intelligent energy consumption regulation and control steel smelting system based on multi-energy complementation, and the system comprises a multi-energy complementation energy supply system which is used for integrating various energy forms, forming a dynamic cooperative energy supply network, and carrying out the energy cooperative operation according to an energy priority strategy and a dynamic matching mechanism; the intelligent regulation and control platform adopts a three-layer framework of'perception-decision-execution 'to coordinate energy flow and process operation between the multi-energy complementary energy supply system and the multi-energy coupling process equipment; the multi-energy coupling process equipment comprises hydrogen-based direct reduction ironmaking equipment, and hydrogen is used for replacing traditional coke to serve as a reducing agent for ironmaking; comprehensive energy supply monitoring and optimization can be carried out on the steel smelting process, various renewable energy sources are combined, and the problems that a single renewable energy source is intermittent, depends on a power grid and the like are effectively solved; meanwhile, the multi-energy complementary hydrogen storage process is coupled with the hydrogen metallurgy process, and the multi-energy cooperation problems of whole-process green power supply, waste heat utilization and the like are solved.

The invention relates to the technical field of intelligent traffic and new energy, and discloses a multi-mode-based intelligent driving vehicle energy supply configuration method, which comprises the following steps: acquiring a real-time energy consumption baseline, real-time sliding window energy consumption and an environmental influence factor corresponding to each intelligent driving vehicle in an unmanned taxi team, according to the real-time energy consumption base line, the real-time sliding window energy consumption and the environment influence factors, comprehensive energy consumption predicted values of all the intelligent driving vehicles are determined; according to the comprehensive energy consumption predicted value of each intelligent driving vehicle, primary scheduling strategy decision making is carried out on each intelligent driving vehicle; constructing a target function according to a preset multi-target optimization condition, and solving the target function based on the preliminary scheduling strategy of each intelligent driving vehicle in the unmanned taxi team to realize optimization of the preliminary scheduling strategy to obtain a target scheduling strategy, the multi-objective optimization condition comprises an operation cost optimization condition, a vehicle availability rate optimization condition and a power grid load optimization condition; and performing energy supply strategy configuration on each intelligent driving vehicle based on the target scheduling strategy.

The invention discloses a water energy accumulator and ground source heat pump combined control method, relates to the technical field of building environment and equipment engineering, accurately captures a time sequence change rule of a building cold load based on the load prediction capability of a time convolution network, overcomes the defect that a traditional method is insufficient in response to sudden fluctuation, and improves the control efficiency. The system can plan an energy storage strategy in advance; an electricity price-load change rate sensitivity index is introduced, and through an adaptive weight adjustment mechanism, economic operation and load tracking requirements are dynamically balanced, so that strategy stiffness caused by fixed priorities is avoided, and the utilization efficiency of time-of-use electricity price signals is remarkably improved; according to the joint optimization design of the mixed integer linear programming model, the equipment operation constraint and the cost target are comprehensively considered, the collaborative decision of the energy accumulator charging and discharging strategy and the heat pump frequency setting is realized, and the direct energy supply dependence in the midday high electricity price period is effectively reduced.

The invention relates to an integrated energy system optimization method considering a carbon emission reward and punishment mechanism and shared electrochemical energy storage, and the method comprises the following steps: carrying out the modeling of an integrated energy system which comprises energy supply, energy conversion, load and shared electrochemical energy storage; constructing a peak-flat-valley period stepped carbon emission mechanism considering the carbon emission difference of different energies and a dynamic carbon price factor, and determining a corresponding carbon transaction cost / reward according to the total carbon emission of the integrated energy system in a scheduling period; based on a capacity leasing and power service mechanism, modeling is carried out on the cost of the shared electrochemical energy storage mode; an optimization scheduling problem is constructed by taking system operation cost minimization and clean energy utilization rate improvement as targets; and solving the optimization scheduling problem to obtain an optimal output scheme and an energy storage charging and discharging strategy of each energy device in the integrated energy system, thereby realizing optimization of the integrated energy system.

The invention provides an energy efficiency prediction and energy-saving scheduling optimization system and method for a food cold chain system, and relates to the technical field of cold chain system energy-saving scheduling, and the system comprises a data recognition module which is used for recognizing cold chain loading state data, and analyzing the space influence characteristics of the loading state data of a cold chain loading space; the strategy obtaining module is used for carrying out energy efficiency optimization on cold chain energy supply according to the space energy efficiency relation between the cold chain space and the link energy supply parameters and the space influence characteristics; the state chain establishment module is used for carrying out loading state dynamic analysis based on the cold chain vehicle path and predicting a path switching node; and the optimization strategy obtaining module is used for carrying out path state node scheduling optimization according to the cold chain path state chain by taking a space energy efficiency strategy as an initial parameter based on the vehicle energy supply coupling relationship and the space energy efficiency relationship of the cold chain system. The technical problem of energy consumption waste in cold chain transportation in the prior art can be solved, and the technical effect of reducing cold chain energy consumption is achieved.

Systems, devices and methods for optimising and managing distributed energy storage and flexibility resources on a localised and group aggregation basis, particularly around the determination, analysis and predictive learning of local data patterns, scoring availability for flexibility and risk profiles, to inform the optimisation of energy supply and behind the meter storage resources and local clusters of co-located or close resources within a community, low voltage network, feeder, neighbourhood or building. Said optimisation to involve scheduled, reactive and active management of data sources and local clusters of resources, for a range of goals such as price, energy supply, renewable leverage, asset value, constraint or risk management. Or where said optimisation achieves a local objective such as providing resources to off-set, aid local balancing or constraint management of larger local supplies and loads, or to aid active management of local energy demands and renewable supplies, storage resources, electric heat resources, electric vehicle charging resources or clusters of electric vehicle chargers, flexible loads in buildings.

The invention relates to the technical field of heat energy storage and heating, and provides a refrigeration and heating integrated system based on phase change heat storage and a control method, the refrigeration and heating integrated system comprises a solar heat collection module, a heat storage oil tank, a phase change heat storage module, an absorption refrigeration module, a heating and heat supplementing module and a multi-mode control module; the multi-mode control module is used for controlling the phase change heat storage module to store heat in a heating period in response to the valley electricity time; monitoring the temperature of a heat storage oil tank in response to the non-valley electricity time, switching a heat supply mode of the system based on a comparison result of the temperature of the heat storage oil tank and a set threshold value, and controlling the phase change heat storage module to store heat or driving the absorption type refrigeration module to refrigerate in response to triggering of a user cold load demand in a cold supply period; and in response to the situation that the user cold load demand is not triggered, the heating and heat supplementing module is controlled to supplement heat to the phase change heat storage module. By integrating solar heat collection, phase change heat storage and valley electricity heat compensation strategies, efficient utilization and multi-source cooperative energy supply of clean energy are achieved.

A road construction machine in the form of a road paver or a feeder vehicle for conveying paving material to a road paver, the road construction machine being self-propelled and having a primary drive source, a hopper, at least one working unit and at least one electric consumer for heating the working unit, the road construction machine having an energy supply system with at least one electrical energy storage which can be charged by means of electric current generated outside the road construction machine and is present on the road construction machine as an internal power source for direct current supply to the electric consumer. Furthermore, the disclosure relates to the use of such an energy storage for direct current supply to an electric consumer of a road construction machine.

The invention discloses a high-integration intelligent ignition head device and an automobile safety communication power supply system thereof. The device comprises an input unit, a power management module, a communication module, a communication judgment module, an MCU, a voltage sensing module, a current sensing module, an ignition control module, an ignition element and a substrate, and an environment self-adaption unit, a dual-mode wireless energy supply unit and an optical fiber diagnosis channel can be additionally arranged. The system adopts the device, communicates with a central control unit through a redundant optical fiber bus and a double-wire bus, and further comprises the central control unit, a dynamic topology reconstruction unit and a pre-ignition energy distribution unit. Through digital signal control, multi-dimensional sensing module integration and a double-wire bus topological structure, ignition threshold multi-stage protection, state real-time monitoring and feedback, multi-ignition-head parallel independent control and miniaturized function integration are achieved, and the reliability, the intelligent degree and the driving efficiency of an automobile safety system are improved.

The invention belongs to the technical field of aircraft control, particularly relates to a range extender control system for an unmanned aerial vehicle and a controller, and aims to solve the problems of limited endurance, poor flight stability and the like caused by discontinuous energy supply and power response lag. The system comprises a range extender power source module, an electric energy conversion and distribution module, a flight state sensing module, a load power prediction module, a multi-target optimization scheduling module and a closed-loop feedback execution module. Through flight state real-time perception and load power prediction based on a recurrent neural network, an optimal power generation instruction is generated in combination with multi-target optimization scheduling, and precise rotating speed tracking is realized through adaptive PID control. A fuel consumption, power supply smooth switching and battery health combined cost function is introduced, dynamic weighting is carried out according to task types, and the cruising ability and the system robustness are improved; the system has the functions of fault emergency response, power battery hot plug and model online updating, and safety and maintainability are enhanced.