62 results about "Energy partitioning" patented technology

An energy distribution network is provided including an energy source; a hydrogen production facility connected to the energy source; a recipient for hydrogen from the hydrogen production facility; and a controller. The controller controls the production of hydrogen by the hydrogen production facility based on inputs including energy resource availability.

The invention discloses a hybrid bus energy management method, which comprises the following steps of: acquiring a speed transition probability model according to historical data of a bus on the same line, current speed information and bus position information by a bus control unit, then estimating the speed, and optimizing energy distribution of the hybrid bus in a prediction zone according to the estimated speed to acquire current optimal power distribution ratio of a fuel oil engine to a motor; and finally determining the actual oil injection quantity and the power provided by the motor, and sending message to a motor control unit and an engine control unit through a controller area network (CAN) bus. Energy management of the hybrid bus is optimized by fully using the characteristics of the bus on the same line; and the method has the characteristics of reasonable energy distribution, high economical efficiency of fuel oil, low exhaust emission, high robustness, energy conservation and environment friendliness.

A method and system are provided. The method includes co-optimizing a placement, a sizing, and an operation schedule of at least one energy storage system in an energy distribution system. The energy distribution system further has at least one renewable energy resource and at least one distributed energy resource. The co-optimizing step includes generating a placement-sizing-scheduling co-optimization model of the at least one energy storage system by integrating therein a distribution optimal power flow optimization model of the energy distribution system and components thereof. The distribution optimal power flow optimization model integrates therein at least an energy storage system model, a renewable energy resource model, and a distributed energy resource model. The co-optimizing step further includes optimally determining, using a processor-based placement-sizing-scheduling optimizer, the placement, the sizing, and the operation schedule of the at least one energy storage system based on the placement-sizing-scheduling co-optimization model.

The invention relates to a run-through type non-split-phase balanced power supply electrified railway traction system, belonging to the technical field of railway electric traction power supply. The system comprises traction transformators, all sections of traction networks and current equalizers, wherein, each section of traction power supply network is provided with an energy distribution regulating machine which mainly consists of a main controller, a driver, an electronic power switch bridgearm, a support capacitance arm, three electric current sensors, three voltage transducers and three reactors; A phase of the output end of each traction transformator is connected with the traction power supply network, B phase thereof is connected with the energy distribution regulating machines, and C phase thereof is connected with a steel rail; the main controller of each of the energy distribution regulating machine is connected with a control center. The invention has the advantages that split-phase power supply is changed into non-split-phase power supply, and great run-through of the traction contact network can be realized, so that safe, high speed and high-efficiency running of train can be guaranteed.

The invention discloses a wireless sensor network-based energy-efficient collaborative scheduling method, which is characterized by comprising the following steps of: (1) initializing a target; (2) estimating a state; (3) selecting a sampling interval; (4) dynamically forming a next cluster; and (5) dynamically updating a cluster head, i.e., judging whether a moving target moves out of a monitoring region of a wireless sensor network, stopping tracking if the moving target moves out of the monitoring region of the wireless sensor network, otherwise transferring state estimation information of the cluster head at the current moment to a cluster head of a next moment by the cluster head, changing the cluster head of the next moment into a working cluster head and turning to the step (2). According to the wireless sensor network-based energy-efficient collaborative scheduling method, various performance indexes are considered, the performance indexes are optimized on line to select the cluster head, the cluster is dynamically generated and the sampling interval is adaptively determined, and accurate tracking of a target is realized through collaborative sensing and information fusion of a sensor node in the cluster. The wireless sensor network-based energy-efficient collaborative scheduling method has the advantages that communication energy is saved, energy distribution and calculation resources in a network are balanced, the life cycle of the network is prolonged, the reliability of the network is improved and the like.

The invention discloses an energy management strategy for an airplane adaptive power and thermal management system (APTMS), and belongs to the technical field of airplane integrated heat/energy. According to the invention, firstly, an APTMS energy optimization rule is obtained through off-line simulation by means of an instantaneous optimization energy management strategy and by combining a plurality of working conditions, then energy management rules are classified by means of fuzzy C-means clustering, and a part of the rules are extracted to serve as training samples of a nerve network. A BP nerve network controller obtained through training controls energy distribution of the system in dependence on the real-time working condition of the APTMS in order to achieve energy optimization management. The energy management strategy for the airplane adaptive power and thermal management system (APTMS) can guarantee fuel economy of the APTMS, and the energy management real-time performance is obviously improved.

The physiological regulation of intake, growth and energy partitioning in animals is under the control of multiple genes, which may be important candidates for unraveling the genetic variation in economically relevant traits in beef production. The present invention relates to the identification of single nucleotide polymorphisms (SNPs) within the bovine gene encoding mitochondrial transcription factor A (“TFAM”) and their associations with economically relevant traits in beef production. The invention further encompasses methods and systems, including network-based processes, to manage the SNP data and other data relating to specific animals and herds of animals, veterinarian care, diagnostic and quality control data and management of livestock which, based on genotyping, have predictable meat quality traits, husbandry conditions, animal welfare, food safety information, audit of existing processes and data from field locations.

A method of estimating brake pad wear includes determining required braking energy to be dissipated by a braking system as a fraction of total kinetic energy according to an energy partitioning model. The required braking energy is distributed to vehicle braking mechanisms according to a vehicle dynamics model. Rotor temperature of each brake rotor may be determined according to a rotor temperature model that utilizes the required braking energy and the distribution of the required braking energy, and determining brake pad wear of each brake pad according to a brake pad wear model that utilizes the rotor temperature and the distributed required braking energy. A first brake pad wear model is implemented under first operating conditions, and a second brake pad wear model under second operating conditions. The brake pad wear is indicated via a brake pad wear indicator output device. A vehicle has a controller that implements the method.

The invention provides an energy distribution method in a two-hop energy collection relay network. In a two-hop half-duplex relay network, in an energy collection process, a source node S and a destination node D transfer a part of energy to an unreliable relay R, in a first time slot of an information transmission process, the S sends useful information to the R, meanwhile the FD sends an interference signal to the R, and in a second time slot of the information transmission process, the R forwards the received signal to the D. The total secure rate of the system is defined, and an optimal energy distribution factor is solved. By adoption of the energy distribution method provided by the invention, the situation of insufficient energy of the relay node can be effectively relieved, the energy distribution factor of the node is iteratively optimized on the premise of ensuring the own energy of the node, and the maximization of the secure rate of the system is achieved.

The invention provides an energy internet network and an energy distribution method for a plurality of direct-current power systems, and the method is simple, modularized, high in stability margin and independent. The distribution of energy is realized through current mode controlled bidirectional DC-DC converters, software and communication units in a traditional energy distribution method are replaced by using a sharing bus error amplifier (SBEA), and meanwhile, a traditional three-domain adjustment manner is replaced by a four-domain control manner. Communication equipment or a software algorithm is not needed in energy distribution, and only three conducting wires need to be connected; a plurality of systems using the same control manner participate the energy internet network through a unique analog control signal; more importantly, the energy distribution is automatically carried out, and the software algorithm is not needed; and the analog control is used, so that high stability margin, low output impedance and quick dynamic response of sharing bus are guaranteed.

The physiological regulation of intake, growth and energy partitioning in animals is under the control of multiple genes, which may be important candidates for unraveling the genetic variation in economically relevant traits in beef production. The present invention relates to the identification of single nucleotide polymorphisms (SNPs) within the bovine genes encoding fatty acid binding proteins and their associations with economically relevant traits in beef production. The invention further encompasses methods and systems, including network-based processes, to manage the SNP data and other data relating to specific animals and herds of animals, veterinarian care, diagnostic and quality control data and management of livestock which, based on genotyping, have predictable meat quality traits, husbandry conditions, animal welfare, food safety information, audit of existing processes and data from field locations.

The present disclosure provides systems and methods for collecting and converting solar energy into electrical energy by using a solar collector and one or more piezoelectric generators. The present invention includes new designs for solar collectors that concentrate solar energy, and mechanisms for transporting and transferring the concentrated solar energy directly into the working fluid (e.g., a liquid, a gas, or a phase change substance) of the one or more piezoelectric generators without heating the outside surface of the engines. The system includes one or more solar collectors and a delivery system to deliver concentrated energy from the collectors directly into working fluid of one or more piezoelectric generators. Advantageously, the delivery system avoids heating an outside surface of the one or more piezoelectric generators as is done in conventional designs. Additionally, the delivery system can be configured to distribute collected energy to the one or more piezoelectric generators with offset heating cycles.

The invention discloses a method of performing full linear error correction-free protection transmission on multimedia data, comprising performing decorrelation transformation, energy distribution and whitening transformation on multimedia data at a sending terminal to obtain metadata matrixes and metadata vectors; setting training data corresponding with the multimedia data, and performing decorrelation transformation, energy distribution and whitening transformation on the training data to obtain training vectors; and merging the metadata matrixes, metadata vectors and training vectors and then transmitting the merged data through an error correction-free protection linear modulation radio communication channel. According to the invention, the impartiality as excellent as a Softcast system can be obtained, and metadata transmission does not exist the cliff effect, and has better robustness and transmission distance; digital sideway information does not exist, and calculating complexity and cost are reduced; metadata transmission occupies less bandwidth; when bandwidth is adequate, an IQ merging simulation modulation mode is employed, which can improve an anti-noise performance, and meanwhile increase the resistivity to phase noise.

An electric energy saving system characterized in that it consists on detecting the time span when there is an overload in the demand of energy of a region; providing a controller in certain number of devices and equipment connected to the energy distribution system of a region according to the overload registered at said region; programming the controllers to shutoff said devices or equipment for several short time periods, and in a staggered form, during said time span wherein there is an overload of the demand in the region, in such a way that a group of devices will be shut-off for one period, the expiration of which will indicate another group to do the same thing, and so forth.

The invention provides a method for defining and calculating the compaction and settlement ratio so as to determine optimal compaction times, belongs to the technical field of civil engineering foundation treatment, particularly relates to the rammer efficiency conversion aspect and aims at solving the technical problem and providing a method for defining the compaction and settlement ratio, using a rammer as a research object, calculating the compaction and settlement ratio so as to determine the optimal compaction times. Optical energy distribution selection and energy consumption reduction has important significance in the actual engineering. The technical scheme is that the compaction and settlement ratio (shown in description) is defined and calculated through a compaction test of the rammer, and the optimal compaction times are determined by drawing a compaction times-compaction and settlement ratio curve chart, wherein the b represents measured single-beat compaction and settlement amount, and the S represents rammer stroke number value calculated through integration. The ratio of each-beat actually-measured compaction and settlement amount b to a rammer stroke number value calculated value is defined as the compaction and settlement ratio lambda, a compaction times-compaction and settlement ratio curve is obtained, the optimal compaction times are analyzed and determined, and calculation is accurate, convenient and economic.

The invention provides an energy distributor used for a hybrid electric vehicle. The energy distributor is equipment for effectively controlling an energy flow direction and an energy distributing mode among a traction generator set, a traction battery set and a traction motor and comprises an executive part, a control part and a display part, wherein the executive part is respectively connected with the traction generator set, the traction battery set and a traction motor controller to form a charging and discharging control loop of the traction battery set; the executive part controls the charging and discharging loop of the traction battery set by controlled silicon and a DC contactor which are connected in parallel; and the executive part is driven by the control part. The invention can well prevent an over-charging phenomenon of the battery set and can ensure that a grid is safely accessed during charge, the generator set is safely used, each power battery is operated in a safe tolerance and electric equipment energy is supplied.

The invention relates to a comprehensive evaluation method for operating schemes of mobile welding robots. The method comprises the steps of: collecting the values of second-level evaluation indexes in a seam tracking experiment and screening out operating schemes meeting seam tracking error; grouping all the second-level evaluation indexes into multiple first-level evaluation indexes according todifferent evaluation viewpoints and calculating the grade of each operating scheme under the first-level evaluation indexes according to the information entropy of the second-level evaluation indexes; performing kernel principal component analysis on all the first-level evaluation index grades of all the operating schemes, obtaining comprehensive evaluation scores of all the operating schemes andobtaining the operating scheme with the optimal comprehensive evaluation. Compared with the prior art, the method determines the operating parameters of a robot system in a seam tracking process through comprehensive evaluation of the welding robot system, thereby optimizing energy distribution of a hybrid power system, improving the moving performance of a welding robot and improving the continuous power supply duration of a hybrid power system while guaranteeing the tracking accuracy and stability.

The invention discloses a power control and channel allocation method based on energy collection in a 5G D2D system, and the method comprises the steps: firstly, constructing an interference weight graph according to the channel gain ratio of D2D users, and clustering the D2D users according to the interference weight graph so as to minimize the common channel interference of the D2D users in thesame cluster; Secondly, modeling the D2D users in the same cluster as a non-cooperative game, deducing an optimal expression of D2D user transmission power and acquisition time by constructing a Lagrangian function and utilizing a KKT condition, and allocating the optimal transmission power and acquisition time to the D2D users by a joint iterative optimization method; And finally, according to the capacity of each D2D cluster when each cellular user channel resource is multiplexed, using a KM algorithm to distribute channels for the D2D cluster with the purpose of maximizing the total capacity of the D2D users. The limitation of common channel interference and collected energy is considered at the same time, energy distribution is more optimized and reasonable, the minimum signal to interference plus noise ratio requirement of cellular users is considered when power is distributed to the cellular users, and power consumption is effectively reduced.

The physiological regulation of intake, growth and energy partitioning in animals is under the control of multiple genes, which may be important candidates for unraveling the genetic variation in economically relevant traits in beef production. The present invention relates to the identification of single nucleotide polymorphisms (SNPs) and their haplotypes, across the bovine genome in genes encoding polypeptides associated with feed efficiency, and their associations with residual feed intake in beef production. The invention further encompasses methods and systems, including network-based processes, to manage the SNP data, haplotype data and other data relating to specific animals and herds of animals, veterinarian care, diagnostic and quality control data and management of livestock which, based on genotyping, have predictable meat quality traits, husbandry conditions, animal welfare, food safety information, audit of existing processes and data from field locations.

The invention relates to a cool-heat-electricity cogeneration microgrid system modeling method. The method is a matrix transfer function method, that is to say, for the multi-input multi-output characteristics of a cool-heat-electricity cogeneration microgrid system, a mathematical model describing the system energy conversion and energy flow relationship is built through the matrix transfer function method. The matrix transfer function method comprises an efficiency matrix describing cool-heat-electricity cogeneration microgrid system components, a dispatch matrix describing system internal energy distribution and a conversion matrix describing energy flow characteristics between the system requirements and energy supply. According to the input-output relationship of each component in the system, the efficiency matrix can be established, and the efficiency matrix represents the energy conversion relationship among the system components; the dispatch matrix can be adopted for establishing the energy flow relationship among the components; finally, the energy flow relationship of the whole system can be described through the conversion matrix. The method is suitable for modeling of various energy systems, simple, efficient and easy to implement and expand.

Energy resource dispensing terminals can be added one-at-a-time to a wide area resource distribution system very easily where needed as needed. Each terminal can dispense any of a number of types of energy resources such as electricity, compressed hydrogen, compressed air, and waste vegetable oil. The energy dispensing terminal includes a terminal control computer that interacts with customer computing devices, such as personal, portable computing devices or onboard computers installed in vehicles to effect negotiation and fulfillment of energy resource purchase transactions. A resource sharing server facilitates such transactions by maintaining and verifying identities of customers and sellers along with financial account information such that a registered customer can purchase energy resources from any seller registered with the same resource sharing server.