166 results about "Balance energy" patented technology

A “Smart Grid Pricer” enables automated balancing of the supply and demand of energy supply and consumption, such as the generation and consumption of electricity between electricity providers and electricity consumers. The Smart Grid Pricer automatically computes and delivers real-time energy pricing information to consumers on behalf of energy retailers (e.g., electricity utilities) to help drive the balance of demand with supply. In various embodiments, real-time pricing is determined by using various probabilistic models to estimate overall consumer demand as a function of factors such as energy price, time of day, region, weather, etc. to compute a price that will result in an energy demand that is closely balanced to the available supply. On the consumer side, various components of the Smart Grid Pricer automatically respond to such pricing information to optimize energy consumption in accordance with a variety of automated and / or user defined rules and preferences.

A thermostat system with a thermostat control program is disclosed for controlling a Heating Ventilation and / or Air Conditioning (HVAC) system which incorporates a mechanism for detecting activity or occupancy in a room, area or conditioned space served by the HVAC system. The thermostat control program analyzes levels, counts or other aspects of activity detected in the conditioned space, with an operating sequence which may include pattern recognition techniques. The operating sequence of the thermostat control program may further depend upon time of day, and upon periods of time identified as being periods for special handling of occupancy, or the recognition of occupancy. These factors may then be utilized by the thermostat control program to influence determination of the temperature setpoint, or to select from alternative programming provided either by the user of the thermostat, or by factory programming, with purpose of balancing energy savings and comfort.

The invention discloses a submodule grouped voltage-sharing control method for a modular multi-level current converter, and belongs to the technical field of power transmission and distribution. According to the technical scheme, the method comprises the following steps: performing average grouping on submodules according to the number of bridge arm submodules, and acquiring voltage values of each group of submodules; calculating total voltage of each group, a bridge arm voltage sum and energy balance factors of each group, obtaining the number of submodules to be switched according to a modulation strategy, and calculating the number of submodules to be switched of each group; and finally, sequencing each group of submodules according to the voltage values, and switching each group of submodules according to the number of submodules to be switched of each group. The method has the beneficial effects that on the premise that the current converter runs normally, an energy balance factor is introduced, and the bridge arm submodules are subjected to a grouped voltage-sharing strategy, so that the aims of increasing the capacitance and voltage sequencing speed of the submodules, balancing energy between the modules and improving the capacitance and voltage fluctuation situation of the submodules can be fulfilled.

A method comprises the steps of determining values of one or more parameters of a first energy reservoir in a first device and corresponding parameters of a second energy reservoir in a second device, and setting a direction for transferring energy between the first energy reservoir and the second energy reservoir. The direction may be set based on the voltage of the first energy reservoir and the voltage of the second energy reservoir, based on an input from a user, or based on the values of one or more parameters of the first energy reservoir and the second energy reservoir obtained in a device-to-device communication between the first device and the second device. A bi-directional charging interface for executing the method comprises two energy paths in opposite directions and a control unit for setting the direction for the energy transfer.

A cell management system and method for balancing energy across a plurality of cells coupled to a circuit bus. The system can include a transformer, two transformer switches, and for each cell, a first switch pair allowing transfer of energy between the transformer and the cell, and a second switch pair allowing removal or inclusion of the cell in the serial connection of cells. The system can include an energy storage device, a switch pair allowing transfer of energy between the transformer and the storage device, and for each cell, a third switch pair allowing transfer of energy between the storage device and the cell. The system can include cell, bus and storage device sensors and state estimators. The system can include a controller that controls the transformer switches, cell switches, and storage device switches based on the sensor readings and states.

A battery system in which module batteries, each of which includes cell batteries connected in series, are connected to one another. Each of the module batteries includes: a cell voltage detection / inter-cell balancing circuit that detects a cell voltage of each of the cell batteries to then create a cell voltage signal, and balances energies among the cell batteries based on the created cell voltage signal; and an inter-module balancing circuit that balances energies among the module batteries based on a module voltage obtained by summing up the cell voltages of the cell batteries.

The invention relates to a power balancing-based non-uniform clustering method for a cluster wireless sensor network, relating to wireless communication technologies. The method comprises the steps of dividing a wireless sensor network monitoring region with uniformly distributed nodes into a non-uniform a ring, determining the positions of cluster head nodes according to an equivalent distance method, ensuring a reliability link index deltap of end-to-end communication between the cluster head nodes to cluster nodes, and setting up an energy consumption solving equation. An optimal ring radius vector is obtained by optimizing parameters of the energy consumption solving equation of the cluster head nodes with a steepest gradient descent algorithm based on the idea of 'power-balancing'. The cluster size is finally obtained by adjusting the positions and the transmission power of the cluster head nodes in accordance with the optimal ring radius vector, so as to balance energy consumption among the cluster head nodes and prolong the network life cycle. The method remarkably prolongs the network life cycle, improves the efficiency of the routing protocol and the media control protocol, and provides a support basis for time synchronization, data integration and target positioning technologies.

An energy-aware backfill scheduling method combines overestimation of job run-times and processor adjustments, such as dynamic voltage and frequency scaling, to balance overall schedule performance and energy consumption. Accordingly, some scheduled jobs are executed in a manner reducing energy consumption. A computer-implemented method comprises identifying job performance data for a plurality of representative jobs and running a simulation of backfill-based job scheduling of the jobs at various combinations of run-time over-estimation values and processor adjustment values. The simulation generates data including energy consumption and job delay. The method further identifies one of the combinations of values that optimizes the mathematical product of an energy consumption parameter and a job delay parameter using the simulation generated data for the plurality of jobs. Jobs submitted to a processor are then scheduled using the identified combination of a run-time over-estimation value and a processor adjustment value.

A system for balancing energy delivery devices within the one or more battery packs and for providing isolated monitoring of the battery packs includes at least one group of energy delivery devices electrically connected in series. For each group of energy delivery devices, the system includes a balancing circuit for each adjacent pair of energy delivery devices. The balancing circuit adjusts charge stored in each energy delivery device of the pair so that the charge stored in the energy delivery devices of the pair is substantially equal, and the charge stored in each energy delivery device remains above a threshold. The system also includes a voltage monitoring module for sequentially selecting each of the energy delivery devices and providing a voltage associated with the selected device at an output port. The voltage monitoring module uses a low on-resistance differential multiplexer to select each of the energy delivery devices.

A method for balancing energies of serial batteries characterizes in taking even serial batteries as a unit to get the intermediate value of voltage different between positive and negative of said batteries and comparing with the central end of said batteries, when the intermediate voltage is lower than that of the central end, the batteries below the central end are charged to balance the electricity above and under the central end. The serial battery set is divided into multiple even serial battery sets to be operated on said balance, so that energy of the entire serial battery set reaches the uniform distribution.

A cell management system and method for balancing energy across a plurality of cells coupled to a circuit bus. The system can include a transformer, two transformer switches, and for each cell, a first switch pair allowing transfer of energy between the transformer and the cell, and a second switch pair allowing removal or inclusion of the cell in the serial connection of cells. The system can include an energy storage device, a switch pair allowing transfer of energy between the transformer and the storage device, and for each cell, a third switch pair allowing transfer of energy between the storage device and the cell. The system can include cell, bus and storage device sensors and state estimators. The system can include a controller that controls the transformer switches, cell switches, and storage device switches based on the sensor readings and states.

A modular management system for balancing, testing and protecting rechargeable energy storage cells connected in series. Different energy storage cell technologies can be connected in the same battery pack and they can be completely balanced by using one or both of two balancing modes. In addition, the modular management system includes bidirectional and unidirectional switches optionally connected to a single ohmic device such as a resistor to efficiently execute a Dual Function Process (DFP) (i.e., passive / active balancing, and testing mode for SoH / SoC estimation) preferably without using any extra or external components (i.e., capacitor or inductor or DC / DC converter or power supply). The systems and methods decrease the balancing time, energy loss, heat loss and complexity needed to monitor, protect and balance energy storage cell systems such as battery systems, and thus decreasing the overall cost.

A system for balancing energy being consumed by a first device against the available energy being produced by a second separate device. One application for the invention is monitoring the amount of energy being produced by a photovoltaic array and using that information to control a load so that the load consumes substantially the same amount of energy as is then being produced by the array.

A computer program product including computer usable program code embodied on a computer usable medium, the computer program product comprising: computer usable program code for identifying job performance data for a plurality of representative jobs; computer usable program code for running a simulation of backfill-based job scheduling of the plurality of jobs at various combinations of a run-time over-estimation value and a processor adjustment value, wherein the simulation generates data including energy consumption and job delay; computer usable program code for identifying one of the combinations of a run-time over-estimation value and a processor adjustment value that optimize the mathematical product of an energy consumption parameter and a job delay parameter using the simulation generated data for the plurality of jobs; and computer usable program code for scheduling jobs submitted to a processor using the identified combination of a run-time over-estimation value and a processor adjustment value.

A system for balancing energy delivery devices within the one or more battery packs and for providing isolated monitoring of the battery packs includes at least one group of energy delivery devices electrically connected in series. For each group of energy delivery devices, the system includes a balancing circuit for each adjacent pair of energy delivery devices. The balancing circuit adjusts charge stored in each energy delivery device of the pair so that the charge stored in the energy delivery devices of the pair is substantially equal, and the charge stored in each energy delivery device remains above a threshold. The system also includes a voltage monitoring module for sequentially selecting each of the energy delivery devices and providing a voltage associated with the selected device at an output port. The voltage monitoring module uses a low on-resistance differential multiplexer to select each of the energy delivery devices.

The invention comprises a buried pipe heat exchanger system and an energy-lifting supply system and an energy-lifting supply system. It also includes an anti-seasonal balancing energy storage system. The buried pipe heat exchanger system includes a vertical buried pipe heat exchanger, an energy-lifting supply system water collector and a water knockout trap, an anti-seasonal balancing energy storage system water collector and a water knockout trap. The energy-lifting supply system includes a heat pump set, a geothermal energy water pump and an energy-lifting supply system water pump. The anti-seasonal balancing energy storage system includes a ground seasonal heat collector, a ground seasonal cold energy collector and an energy storage water pump.

A computer program product including computer usable program code embodied on a computer usable medium, the computer program product comprising: computer usable program code for identifying job performance data for a plurality of representative jobs; computer usable program code for running a simulation of backfill-based job scheduling of the plurality of jobs at various combinations of a run-time over-estimation value and a processor adjustment value, wherein the simulation generates data including energy consumption and job delay; computer usable program code for identifying one of the combinations of a run-time over-estimation value and a processor adjustment value that optimize the mathematical product of an energy consumption parameter and a job delay parameter using the simulation generated data for the plurality of jobs; and computer usable program code for scheduling jobs submitted to a processor using the identified combination of a run-time over-estimation value and a processor adjustment value.

A system and method for providing risk mitigation and resilience to the electrical grid system by allowing bi-directional electricity usage from a distributed network of energy storage stations to form a large, distributed resource for the grid. A machine learning optimization module ingests various forms of data—from grid telemetry to traffic data to trip-to-trip data and more—in order to make informed spatiotemporal decisions about strategically placing and balancing energy stores across various regions to support optimum energy usage, risk mitigation, and grid fortification. Energy stores are then sent updated parameters as to the amount of energy to hold or release.

The invention discloses a simplified multi-level space vector pulse width modulation method for an any-level single-phase cascaded H-bridge type converter and a modulation soft core thereof. At starting time of each switching period Ts, sampling of reference space voltage vectors Ur<(N)> is carried out to obtain reference space voltage vectors of all units one by one; section determination is carried out on the reference space voltage vectors Ur(1) <(N)>, Ur(2) <(N)>, ... Ur(n) <(N)> by using shared computing resources and calculation is carried out to obtain switching time; and shunting is carried out on switching time corresponding to all units based on multi-path signal selection and generation of PWM signals corresponding to all units is completed. With the method, modulation of the single-phase cascaded H-bridge type converter can be realized. On the basis of the technology, balanced energy distribution of all power units can be realized easily; the harmonic characteristics are good; the expandability is high; the computation complexity is low; digital realization becomes easy; and the dynamic and steady performances are excellent. The method can be applied to fields like a high-voltage high-power speed regulation system, a high-voltage direct-current power transmission system, and an electrical railway traction power supply system and the like.

The invention belongs to the technical field of energy saving of an elevator and particularly relates to an elevator car and counterweight automatic balancing energy-saving device with auxiliary counterweights. The energy-saving device comprises a counterweight side weight sensor, an elevator car side weight sensor, a traction braking and fixed pulley combiner, a traction steel wire rope fixed pulley, a fixed auxiliary counterweight steel wire rope, a traction steel wire rope, auxiliary counterweights, a traction manipulator, a guide rail, a control system and the like. When an elevator answers a calling signal to ascend or descend and the load in the elevator car is dynamically changed, the energy-saving device enables the elevator car to automatically hook or unload the auxiliary counterweight according to information of the difference between the weights measured by an elevator weight sensor at the elevator car side and the counterweight side, so that the balance of forces at two sides of a traction wheel is achieved; and the loading capacity at a balance point is generally set as 50 percent of the rated loading capacity. With adoption of the energy-saving device, only when the load of the elevator car exceeds the balance point, does the elevator need to be driven with energy consumption; and when the load is below the balance point, the elevator only needs to overcome friction of the steel wire rope and consumes extremely low energy, and the energy-saving effect is remarkable.

A power conversion circuit includes a current section, a transformer, and a voltage section. The current section includes inductors configured to produce a boosted output voltage from a voltage sourse when then current section is operating in a forward direction. The transformer includes a primary winding electrically coupled to the secondary winding and configured to drive a load. The voltage section includes a pluralaty of balancing switchtes configured to actively driven to provide a DC voltage to the load. The balancing switches balance energy between the current section and the voltage section when the power conversion circuit is the load and operating in the forward direction.

The invention provides a wireless routing protocol method. On the basis of a low-power adaptive clustering layered protocol, a sensing area is layered to optimize election of cluster heads and a data transmission mode among clusters so as to reduce energy consumption. A whole network is layered based on the distance from nodes to sink nodes, and cluster head election and cluster forming are performed in each layer; the closer the clusters are to the sink nodes, the denser the clusters are, and the smaller the cluster radius is; data are transmitted among the clusters by a multi-hop transmission mode so as to achieve the purpose for balancing energy of each node. In conclusion, life cycle of a wireless network can be prolonged more effectively.

The invention discloses a cascading multi-level super capacitor energy storage system and a discharge mode control method. The system comprises at least two half-bridge converters, super capacitor energy storage units, an LC series circuit, a voltage detection unit and a controller, wherein the input end of each half-bridge converter is connected with one super capacitor energy storage unit in parallel, the half-bridge converters are connected between the anode and the cathode of a common direct current bus in a cascading manner, the LC series circuit is connected between the positive terminal of the output end of the first half-bridge converter and the negative terminal of the output end of the last half-bridge converter in parallel, the voltage detection unit is used for transmitting the end voltage of anode of the common direct current bus and end voltages of super capacitors to the controller, the controller is used for controlling each half-bridge converter to output a direct current power component and output / input a high-frequency alternating current component, the direct current power components are supplied to a load through the common direct current bus, and the high-frequency alternating current components flow between the cascading half-bridge converters and the LC series circuit for balancing energy of the super capacitors.

An automatic automobile air conditioner control method comprises the following steps: (a), starting a program; (b), initializing; (c), receiving signals; (d), calculating the number of indoor temperature control objectives and programs of an automobile; (e), determining the mode ventilation door output value; (f), determining the circulating ventilation door output value; (g), calculating the output rotating speed of an air blower; (h), calculating the position of a temperature ventilation door; (i), balancing energy, wherein the automobile indoor energy variation is equal to the sum of energy generated from solar radiation, energy generated from the heat exchange between the automobile body and the environment, energy generated from the heat exchange of an evaporator, energy generated from the heat exchange of a heating core, energy brought by an engine, actual energy brought into the interior of the automobile by a heat source and rectified energy; (j), calculating the automobile indoor temperature; (k), returning to the step (c), and performing the next circulating calculation until the calculated value of the automobile indoor temperature is close to the automobile indoor temperature control target. The automatic automobile air conditioner control method has the benefits that the energy balance algorithm is totally based on the most fundamental factor causing the temperature variation, and can accurately realize the temperature and comfort degree control.

A bearing assembly is presented having a novel lubricant sealing design that, in one embodiment, combines the advantages of contacting and non-contacting dust seals to balance energy efficiency while still providing an effective method for contaminant exclusion. The contacting and non-contacting dust seals further arranged to maximize the service life of the dust seals and prolong the maintenance intervals required on the bearing assembly.

The invention relates to a low-delay balanced energy consumption routing method for a wireless sensing network, which comprises the following steps of: initializing the network and establishing a respective depth weight and a neighbor table for each node, wherein the depth weight is equal to a nodal distance and is proportional to the shortest hop count of a sink node; dividing packets to be transmitted into two types of delay sensitive packets and non delay sensitive packets and carrying out division at frame headers by zone bits; when data is to be transmitted at a certain node, broadcasting a routing request frame added with a certain packet type, waiting to receive a routing response frame of a neighbor node and after receiving the routing response frame, selecting different routing algorithms according to different packet types to select a next hop of node; if the packet type is the delay sensitive packet type, preferably selecting the node with the minimum delay weight to carry out forwarding; and if the packet type is the non delay sensitive packet type, preferably selecting the node with the minimum balance weight to carry out forwarding. According to the invention, the time delay is reduced and the energy consumption is more balanced.

The invention provides a microgrid system having a function of balancing energy and load. The microgrid system comprises a micro energy power generation system, a load system, a microgrid and a power balancing system, wherein the micro energy power generation system comprises a plurality of sets of parallel power generation equipment, and each set of power generation equipment comprises at least one photo-thermal power generation device; the power balancing system comprises a first control device, a second control device and an energy storage device; each photo-thermal power generation device comprises a solar thermal collector, a heat exchanger, a screw power machine, a generator connected with the screw power machine, a condenser, a first working medium pump and a second working medium pump; the energy storage device is parallelly connected with the corresponding solar thermal collector; and each energy storage device of the photo-thermal power generation device is a set of heat storage equipment. The microgrid system having the function of balancing energy and load can balance power of the micro energy power generation system and the load system through arranging the power balancing system, is fast in response speed, effectively reduces the impact of variations of electric energy and load on the microgrid, is simple, effective, stable and flexible, and is low in cost.

The invention discloses an intelligent power grid-oriented wireless sensor network and a clustering algorithm thereof, and the clustering algorithm comprises the steps: improving a wireless sensor network LEACH algorithm, and guaranteeing the selection rationality of a cluster head through considering the residual energy and node density during the selection of the cluster head; constructing cluster radiuses with different sizes by adopting a non-uniform clustering mechanism during clustering; data are transmitted to a base station in an inter-cluster communication mode in a multi-hop mode, the distance between cluster head nodes and residual energy serve as the selection basis of relay nodes of the next hop, and the purpose of balancing energy loads is achieved. According to a contrast experiment, compared with a failure round of the first node, the algorithm provided by the invention is improved by 76% in comparison with LEACH, is improved by 25% in comparison with LEACH-DC, and is improved by 32% in comparison with EEUC. When the algorithm runs for 1600 rounds, nodes still survive, and the network period is effectively prolonged.