14results about How to "Optimize energy management" patented technology

The invention discloses a public vehicle operation management method based on big data analysis and related equipment, and the method comprises the steps: receiving a battery alarm signal of an electric public vehicle, and obtaining a battery parameter and vehicle operation data; inputting the current environment data and the real-time road condition data into a big data model to obtain a current operation scene of the vehicle; inquiring to obtain a battery parameter interval corresponding to the current operation scene of the vehicle; under the condition that the battery parameters are located in the battery parameter interval, vehicle energy consumption data in the preset kilometer interval are obtained, and according to the battery parameters, the vehicle energy consumption data and the current operation scene of the vehicle, the energy consumption trend of the electric public vehicle in the future preset time period is predicted; generating a power output mode of the electric public vehicle according to the energy consumption trend, the vehicle operation data and the driving behavior data; generating a brake adjusting instruction according to the power output mode; and the brake adjusting instruction is sent to the vehicle terminal, so that the vehicle terminal executes a brake strategy.

The invention discloses an intelligent hospital logistics management platform, and relates to the technical field of logistics management. Comprising the following steps: establishing a hospital visual model through BIM, and adding a data acquisition device to a corresponding position of the visual model; performing type label setting on the data acquisition device according to the acquired data type, and then setting an attribute label according to the professional attribute of the target space where the data acquisition device is located; displaying corresponding equipment data according to the selected type tag and / or attribute tag; the method comprises the following steps: summarizing logistics information which comprises equipment data and repair data, identifying abnormal data in the equipment data, setting the corresponding equipment data as the abnormal data according to the content of the repair data, carrying out alarm processing on the abnormal data, processing according to position information, summarizing islanding logistics information, and sending the summarized islanding logistics information to a server; the service functions of logistics repair, alarm processing, energy analysis and the like of the whole hospital are undertaken, and the overall management level of the hospital is optimized.

The invention discloses a current saturation algorithm-based converter control mode switching method and system, and the method comprises the steps: building an outer loop voltage control equation of a fault-free network-building converter, and defining that the converter operates in a constant voltage mode; current limitation of a device under the fault is considered, a dq-axis current reference value under the fault is generated based on a current saturation algorithm, and a current converter is defined to operate in a current limiting mode; after a fault occurs in the constant voltage mode, whether the current amplitude of the converter exceeds the saturation current amplitude which can be borne by the device at the fault moment is judged, and the converter enters the current limiting mode from the constant voltage mode to operate; in the current limiting mode, when a difference value between an actual value and a reference value of active power output by the converter is smaller than a given value, exiting the current limiting mode, and entering a constant voltage mode for operation; and finally, on the basis of a switching rule of the converter between the CVC mode and the CLC mode, obtaining a switching model after the network-forming converter suffers from a fault. According to the invention, automatic switching can be realized to avoid the device overcurrent problem, and the logic is simple and effective.

The invention provides a sample construction method for a control model of a hybrid vehicle, and is applied to the technical field of data processing. The method comprises the steps that under the condition that a driving speed sequence of the hybrid power vehicle in a historical driving cycle is kept unchanged, a target decision sequence corresponding to the minimum weighted value of a plurality of driving cost indexes is determined, and the target decision sequence comprises target engine power corresponding to each driving speed; determining a vehicle driving parameter set corresponding to each driving speed according to the driving speed sequence and the multiple target engine powers; and according to the driving speed, the target engine power corresponding to the driving speed and the vehicle driving parameter set corresponding to the driving speed, a training sample used for training a control model of the hybrid vehicle is constructed. The invention further provides a control method of the hybrid vehicle.

The invention discloses a thermal management control method and system under a low-electric-quantity working condition, a medium and electronic equipment, and the method comprises the steps: judging whether the state of charge of a single battery is smaller than a preset second threshold value and larger than a preset third threshold value or not under the condition that a vehicle has a refrigeration demand and the state of charge of the single battery is smaller than a preset first threshold value; if yes, whether a compressor of the vehicle refrigerates a cab and / or a battery monomer of the vehicle or not is judged; under the condition that the cab and the single battery are refrigerated, a cab refrigeration stop valve is controlled to be forbidden to be closed, and heat management is conducted on the single battery; or under the condition that the battery monomers are refrigerated, performing thermal management on the battery monomers; or under the condition that the cab is refrigerated, the cab refrigeration stop valve is controlled to be forbidden to be closed, and the compressor is controlled to be forbidden to operate. Therefore, by adopting the embodiment of the invention, the working mode of the thermal management system can be dynamically adjusted, and the power consumption is reduced and the energy management of the whole vehicle is optimized on the premise of ensuring that the battery is not overheated.

The invention relates to a control system of a closed ship tail gas desulfurization device, and belongs to the technical field of ship desulfurization. The system comprises a gas-liquid conveying module used for controlling the conveying process of a desulfurizing agent and ship tail gas to a desulfurization device, and an absorbent control module is used for carrying out flow control and desulfurization mode conversion on the desulfurizing agent; the spraying control module is used for conveying a desulfurizing agent into a vertical spraying column of the desulfurizing device from a liquid inlet in the bottom of the desulfurizing tower through a peristaltic pump driven by a motor; the spraying module is used for spraying through a vertical spraying column, liquid sprayed by the vertical spraying column is uniformly dispersed into fine liquid drops through a grid dispersion plate, and the fine liquid drops are in full contact with ship tail gas which rises along with time and is conveyed by a gas inlet in the bottom of the desulfurization tower; and the gas-liquid control module is used for adjusting gas-liquid distribution in the desulfurization tower according to the height distribution through the gas-liquid distribution ring. The content of sulfur oxides in ship tail gas is effectively reduced, the environment-friendly emission standard is achieved, and meanwhile energy consumption and operation cost are reduced.

This invention relates to a low-voltage photovoltaic-storage-charging protection circuit based on relay status feedback, comprising a photovoltaic-storage-charging EMS system, a power grid system, and a photovoltaic system. The photovoltaic-storage-charging EMS system communicates bidirectionally with the latter two via an RS bus. The power grid system includes a control circuit and a first distribution cabinet for connecting to the power grid. The photovoltaic system includes a photovoltaic input relay control circuit and a battery relay control circuit, both connected to the DC bus. On the photovoltaic side, a first current sensor connects to a combiner box and an inverter. The inverter is connected to the photovoltaic panels. The combiner box is also connected to a crystal oscillator circuit communicating with the RS bus via a DC-DC isolated power supply. On the battery side, a second current sensor connects to an energy storage converter and a battery pack. The battery pack includes parallel-connected energy storage batteries and a cycle battery. The cycle battery also supplies power to the charging pile, which is connected to the DC bus via a second distribution cabinet. The system achieves circuit protection through relay status feedback and current monitoring.

The invention discloses an auxiliary discharging method for a lithium battery pack in the technical field of lithium batteries. A lithium battery stack, a protection plate, a supercapacitor and a discharging / charging socket are included. The lithium battery stack, the protection plate, the super capacitor and the discharging / charging socket are electrically connected to form a discharging loop, and the discharging capacity of the lithium battery pack is improved through the rapid charging and rapid discharging characteristics of the super capacitor, so that the working voltage of the lithium battery pack is within a specific range, and the auxiliary discharging effect is achieved. According to the scheme, the problem that the discharge performance of the lithium battery cannot meet the working condition under the condition that the working voltage has strict requirements is solved.

The application discloses an energy management strategy of a new energy direct-current micro-grid water production system, which adopts daily operation cost, daily water production and daily abandoned wind and light rate as optimization indexes of the whole system, uses an improved radar chart method to obtain a fitness function, and uses a genetic algorithm to solve an optimal solution of the fitness function under full consideration of specific requirements of water production equipment and influences of converter droop control on unit output. Since a deviation range of a direct-current bus voltage has certain requirements, droop coefficients of the converter droop control have certain limitations, and the droop coefficients influence unit output. The application fully considers influences of control modes of units of the direct-current micro-grid on unit output and special constraint conditions of water production equipment, and realizes optimal operation of water production, water production cost and abandoned wind and light rate.

The utility model relates to a power supply system for new energy engineering machinery and agricultural machinery accessories, and belongs to the technical field of new energy power supply devices. Comprising a vehicle end direct current charging interface and an accessory end electricity taking plug. The vehicle end direct current charging interface is an original national standard direct current charging interface of new energy engineering machinery / agricultural machinery, the accessory end electricity taking plug is electrically connected with a vehicle high-voltage battery pack through the vehicle end direct current charging interface, and the accessory end is connected to the vehicle end direct current charging interface for electricity taking through a cable with the accessory end electricity taking plug. When the accessory works, electricity taking and vehicle charging share the same electrical interface. Through interface multiplexing and intelligent design, a technical closed loop is formed in the aspects of reducing cost, improving adaptability, enhancing safety, optimizing energy management and the like, and a high-reliability and high-compatibility solution is provided for accessory power supply of new energy engineering machinery / agricultural machinery.

A source network interaction type roof photovoltaic energy exchange control system is characterized in that a universe AIR724 chip is connected with a capacitor controller through two paths of RS-485 interfaces, the universe AIR724 chip is connected with a power supply module, a TF and key module and an Ethernet module, and the Ethernet module is connected with a network platform. According to the invention, the energy output of the photovoltaic power generation system can be dynamically adjusted according to the real-time demand of the power grid, the energy management is optimized, the power generation efficiency of the photovoltaic system is improved, and the interactivity and controllability with the power grid are enhanced. Through realizing multi-channel capacitor control, the controller can adjust the switching of the capacitor in real time according to the actual load condition of the power grid, thereby optimizing the reactive power compensation, improving the stability and efficiency of the power grid, and improving the dynamic energy management capability. By integrating an advanced communication chip and an SIM module, remote monitoring, management and operation are realized. And power supply and data storage and analysis are optimized and improved, so that the stability and traceability of the system are improved.

The present invention provides an energy consumption monitoring method and system for hotel guest rooms, which are applied to the field of energy consumption data processing. The present invention effectively solves the problem that energy consumption anomalies caused by different guest needs are difficult to be discovered in time through various means such as precise monitoring, detailed analysis, dynamic adjustment and multi-dimensional monitoring. By timely discovering and processing energy consumption anomalies, energy waste can be significantly reduced, the hotel's energy management level can be improved, the equipment operation efficiency can be improved, and ultimately the goal of energy saving and consumption reduction can be achieved.

The invention provides a train energy-saving operation optimization method under the limited whole vehicle energy power, and relates to the technical field of train operation energy-saving optimization, and the method comprises the steps: obtaining train information and line information under the limited whole vehicle energy power; constructing a train energy storage battery model, and obtaining train traction characteristics of energy storage battery power supply; dividing a discrete spatial domain according to train traction characteristics; and according to a division result, traversing and searching an optimal operation result by utilizing a dynamic programming algorithm, and completing train energy-saving operation optimization under the condition that the energy power of the whole train is limited. According to the method, the energy power distribution in the train running process is adjusted by adding the stored energy power constraint, so that the optimized speed curve is obtained, meanwhile, the indexes that the train smoothly arrives at a rescue point and runs comfortably and energy is saved are met, and the defects of an existing train emergency self-walking energy-saving speed curve generation method are overcome.

The invention relates to an industrial system switching control energy consumption optimization method based on a multi-layer network, and the method comprises the following steps: S1, collecting data information of each layer of an industrial system, constructing nodes, and constructing a multi-layer network structure of the industrial system; s2, based on a multi-layer network structure of the industrial system, constructing a controller to realize synchronization of communication between network layers; s3, calculating the energy consumed by the controller, determining the upper bound of the energy consumption, and analyzing the synchronous energy consumption of the multi-layer network; and S4, optimizing the energy cost in the multi-layer network according to a multi-layer network synchronous energy consumption analysis result. According to the invention, energy consumption management of the multilayer network can be effectively optimized, network operation efficiency and overall energy efficiency are improved, and network performance and service quality are ensured.