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110 results about "Adaptive management" patented technology
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Adaptive management (AM), also known as adaptive resource management (ARM) or adaptive environmental assessment and management (AEAM), is a structured, iterative process of robust decision making in the face of uncertainty, with an aim to reducing uncertainty over time via system monitoring. In this way, decision making simultaneously meets one or more resource management objectives and, either passively or actively, accrues information needed to improve future management. Adaptive management is a tool which should be used not only to change a system, but also to learn about the system. Because adaptive management is based on a learning process, it improves long-run management outcomes. The challenge in using the adaptive management approach lies in finding the correct balance between gaining knowledge to improve management in the future and achieving the best short-term outcome based on current knowledge. This approach has more recently been employed in implementing international development programs.
Unified, configurable, adaptive, network architecture
ActiveUS7310664B1Reduce the burden onReduce operating costsDigital computer detailsTransmissionAdaptive managementNetwork architecture
A network switch having a unified, adaptive management paradigm for wireless network devices is disclosed. The switch includes configurable ports for connecting devices. A software application running on the switch allows a network administrator to selectively configure each port to support either a wired device or wireless device. Configuration information and software images that are needed for operation of the wireless device are associated with the port. When a wireless device is first plugged into the switch port, it downloads its configuration directly from the switch port. By storing the configuration information and images at the switch and automatically downloading them to the wireless devices, the task of configuring the devices is greatly simplified for the network administrator. This is particularly advantageous in heterogeneous network environments that support both wired and wireless devices, and where wireless device are readily moved to different ports.
Owner:EXTREME NETWORKS INC
Automated and adaptive management of bandwidth capacity in telecommunications networks
InactiveUS6842463B1Fast and efficient bandwidth managementFast and efficient bandwidthError preventionFrequency-division multiplex detailsTelecommunications linkAdaptive management
Management of the bandwidth capacity of tunnels through a network may be automated such that the network is adaptive to the stochastic nature of incoming traffic. An edge node in the network includes four main elements. Three of the elements, namely tunnel signaling, admission control and path selection, are derived from known technologies, generalized from their particular technologies and enhanced. With the addition of a fourth element, called capacity management, the four elements cooperate to accommodate the capacity needs of the traffic incoming to the network at the edge node. This accommodation is performed by estimating the traffic demand and dynamically adapting tunnels to the traffic demand.
Owner:RPX CLEARINGHOUSE
Component Adaptive Life Management
ActiveUS20110060568A1Plug gaugesRegistering/indicating working of machinesNon destructiveStress level
A framework for adaptively managing the life of components. A sensor provides non-destructive test data obtained from inspecting a component. The inspection data may be filtered using reference signatures and by subtracting a baseline. The filtered inspection data and other inspection data for the component is analyzed to locate flaws and estimate the current condition of the component. The current condition may then be used to predict the component's condition at a future time or to predict a future time at which the component's condition will have deteriorated to a certain level. A current condition may be input to a precomputed database to look up the future condition or time. The future condition or time is described by a probability distribution which may be used to assess the risk of component failure. The assessed risk may be used to determine whether the part should continue in service, be replaced or repaired. A hyperlattice database is used with a rapid searching method to estimate at least one material condition and one usage parameter, such as stress level for the component. The hyperlattice is also used to rapidly predict future condition, associated uncertainty and risk of failure.
Owner:JENTEK SENSORS
Adaptive energy management system
InactiveUS20140129040A1Optimizes power flowImprove economyMechanical power/torque controlData processing applicationsPower flowMicrogrid
Systems, methods, and devices related to a microgrid system for providing power to a facility. A self-contained power system provides power to a facility using a combination of power storage elements and renewable energy sources. A connection to an external power grid may also be provided. The system optimizes power flow to the facility using power from the storage elements and the renewable energy sources and, if necessary, the external power grid. The optimization process predicts future power usage by the facility using power usage data from a predetermined time window. The optimization process can also take into account predicted energy generation amounts by the renewable energy sources. To optimize economic effects, the optimization process can also determine whether to buy and when to buy power from the external power grid.
Owner:EMADI ALI +2
Study management system and method
InactiveCN101000600AData processing applicationsSpecial data processing applicationsPersonalizationAdaptive management
A management system of learning comprises resource storage module for storing some learning resources being organized to be multiple metadata as each metadata corresponding to a knowledge point, adaptive management module for collecting information of learner's ability and for providing proper learning resource to learner as well as for providing information of knowledge point requiring learner to be learned.
Owner:南京凌越网络科技有限公司
Resource-adaptive management of video storage
InactiveUS20050074063A1Picture reproducers using cathode ray tubesPicture reproducers with optical-mechanical scanningVideo storageComputer graphics (images)
A method for providing adaptive video compression includes encoding a video stream in a first compressed format, storing the video stream in a storage device, retrieving the video stream from the storage device, decoding the video stream, encoding the video stream in a second compressed format, and storing the video stream in the storage device. Systems and other methods for providing adaptive video compression are also disclosed.
Owner:INTERDIGITAL VC HLDG INC
Adaptive management method for power consumption of data center
ActiveCN102213475AGuaranteed cooling effectSpace heating and ventilation safety systemsLighting and heating apparatusAdaptive managementData center
The invention provides an adaptive management method for the power consumption of a data center. The method comprises the following steps of: partitioning a computer room according to functions of each part, arranging N+1 precision air conditioners in each function area, and sorting by priority according to the importance of a refrigerating action; adjusting the power consumption of a server in real time by using monitoring software according to a service load in the computer room; accomplishing generation of an air conditioner adjustment strategy with the help of a computational fluid dynamics (CFD) simulation computed result; and controlling the air conditioners of the computer room by using a fuzzy neural network control strategy. By the method, an optimum value can be achieved under the conditions of good radiation effect and low energy consumption.
Owner:DAWNING INFORMATION IND BEIJING +1
Component Adaptive Life Management
InactiveUS20110054806A1Improve responsePlug gaugesRegistering/indicating working of machinesNon destructiveStress level
A framework for adaptively managing the life of components. A sensor provides non-destructive test data obtained from inspecting a component. The inspection data may be filtered using reference signatures and by subtracting a baseline. The filtered inspection data and other inspection data for the component is analyzed to locate flaws and estimate the current condition of the component. The current condition may then be used to predict the component's condition at a future time or to predict a future time at which the component's condition will have deteriorated to a certain level. A current condition may be input to a precomputed database to look up the future condition or time. The future condition or time is described by a probability distribution which may be used to assess the risk of component failure. The assessed risk may be used to determine whether the part should continue in service, be replaced or repaired. A hyperlattice database is used with a rapid searching method to estimate at least one material condition and one usage parameter, such as stress level for the component. The hyperlattice is also used to rapidly predict future condition, associated uncertainty and risk of failure.
Owner:JENTEK SENSORS
System and method for adaptive resource management
InactiveUS7203746B1Eliminating unforseen problemReduce the amount requiredDigital computer detailsProgram controlAdaptive managementComputerized system
A system and method for monitoring resource requirements in a computer system and for adding (or subtracting) such resources as required. In a preferred embodiment, the system automatically, without user intervention, makes the resource adjustment when calculations indicate a need for such an adjustment. The system stores historical and statistical data concerning a multitude of parameters and the action taken with respect to the resources reflects a comparison against such stored data.
Owner:OBJECTIVE SYSTEMS INTEGRATORS
Method and system for interactive modeling of high-level network performance with low-level link design
InactiveUS20050240386A1Simple designLevel of optimizationData switching networksSpecial data processing applicationsInteractive modelingAdaptive management
A method and system for interactive modeling of high-level network performance with low-level link design provides a tool for optimizing networked computing systems and their link components simultaneously. The method models a fixed portion of a network and specifies operational performance levels and power constraints. A solution is chosen for a non-fixed network portion and the network is simulated to determine link requirements and synthesizes links in conformity with the link requirements. The links are analyzed to determine performance (e.g., bandwidth) and requirements (e.g., power) and network performance is recalculated. An iterative loop from the selection of the non-fixed topology through synthesis and recalculation of link performance can be implemented to optimize the link and network design. The links may be links that use an adaptive management policy that trades off power and bandwidth in multiple operating modes and the method may be used to optimize the operating modes and / or management rules.
Owner:IBM CORP
Adaptive software management
ActiveUS7079904B1Minimize power consumptionCertain quality of serviceMechanical power/torque controlLevel controlAdaptive managementSelf adaptive
Adaptive control techniques, such as power management techniques for use in managing power consumption in an electronic device, employ optimization analysis to generate power consumption / quality of service performance plots. The optimization analysis can include experiments that are performed for various settings of control factors that control the operation of the device. The performance plots relate power consumption in the device to quality of service levels for the device. During operation, aspects of the device are monitored. A control factor and a level for the control factor are automatically selected based on the monitored aspects, by using the performance plots to identify an experiment having the desired quality of service level and the corresponding control factor level. The control factor is then automatically set to that selected level to control the power consumption or quality of service of the device.
Owner:HARRIS GLOBAL COMMUNICATIONS INC
Method for adaptive data management
InactiveUS7693917B2Data processing applicationsDigital data processing detailsAdaptive managementRelational database
A method for managing a back-end information storage infrastructure and a flexible development environment for data storage using a computer system. The method includes managing system resources including a relational database. Meta data models are created to model processes and to define meta data elements and their relationships by using trees and graphs. The method manages access to the data by authenticating users through several levels of authentication describing user rights, while providing management of multi-user access and concurrency. The method includes running the processes that generate instance data, storing the instance data following the meta data model, and transforming the instance data into physical views.
Owner:INTELLIGENT MEDICAL OBJECTS
Expandable storage system and control method based on objects
ActiveCN1728665AEasy to expandImprove scalabilityData switching by path configurationSpecial data processing applicationsObject basedAdaptive management
Combining file with block mode, the invention puts forward a brand new object interface in order to overcome disadvantages of system structure and mode of user service in current mass storage system. The system includes I pieces of metadata server, N pieces of object storage node, and M pieces of client end connected to each other. Three parties among client ends, object storage node and severs are realized. The system provides high expandability, and synchronous growth of memory capacity and collective bandwidth of data transmission. Changing traditional data management and control mode, object storage node OSN executes fussy functions for managing data at bottom layer of file system, and MS implements management of metadata. Based on object storage, the system realizes adaptive management function.
Owner:HUAZHONG UNIV OF SCI & TECH
LED cloud street lamp intelligent control and decision making system based on Internet of Things
InactiveCN105959380AGuaranteed stabilityExpand coverageElectroluminescent light sourcesTransmissionAdaptive managementLongitude
The invention provides an LED cloud street lamp intelligent control and decision making system based on Internet of Things. The LED cloud street lamp intelligent control and decision making system based on Internet of Things is characterized in that novel efficient energy saving light source LED lamps are used based on a current street lamp control system; an intelligent chip is arranged in each street lamp to name and identify the street lamp; the Internet of Things wireless sensing technology is used to perform data communication between lamps so as to connect the lamps to form a controllable street lamp network, and then the controllable street lamp network is connected with a cloud computing center through a stable Internet of Things communication technology, and automatically sets a optimal illumination scheme by means of background data processing and a control program and according to the factors, such as the local latitude and longitude, the climate, the light and the traffic, so that remote single lamp control, real-time control, adaptive adjusting, early warning of faults and the like can be realized; and the data, such as the environment data, acquired by the street lamps, can be transmitted to the cloud computing platform in the wireless mode, and then an optimal illumination adjusting scheme is generated through intelligent computing analysis and judgment of the acquired data, so that the Illumination As Required adaptive management function can be realized.
Owner:深圳中电桑飞智能照明科技有限公司
User driven, interactive, intelligent and adaptive management and business intelligence data retreival and viewing information system and tool, that is database or data source abstracted and independent, and is network and connectivity abstracted and independent, with administrative support
InactiveUS20080301154A1Structured data retrievalSpecial data processing applicationsDrill downAdaptive management
A software tool or information system that is User Driven and allows the user to imagine, dictate, iterate and control the place, means, format and kind of data and information to be viewed and analyzed. The system allows the User to begin with an imagined image or picture of what is required. The system is Interactive and allows the user to iterate, change, modify improve, edit, correct, consolidate, drill down and perform all other actions that are required by the user. The system is Adaptive and has a learning capability that will anticipate and prompt progressively more accurately what the User desires from the User's inputs and therefore Adapts to the User. The System is Adaptive, Learning with intelligent estimation of the User's request when examining the target database or data source. The system is also Database or Data Source Abstracted and Independent by automating the query, search and seek process and by automatically generating all required actions including the appropriate code generation, including all query code and the abstraction of the key elements of database parameters and characteristics supplemented by a target specific element. The system also incorporates Network and Connectivity Abstraction and Independence. The System is supported by automated and Intelligent Administrative functions.
Owner:VITHAYATHIL JOSEPH
Adaptive database management and monitoring
Systems and methods for adaptive database management and monitoring are disclosed. According to various embodiments, the present invention comprises training a neural network of a classification engine with real time performance data of a database. Once the neural network has been trained, real time performance data for the database may be input to the classification engine. If the classification engine detects a deviation in performance, it may cause an alert to be sent to a database administrator. In addition, the classification engine may send results of its analysis to a host, which posts the results on a web page. Users may provide feedback on the results to a batch relearn entries database or file. The classification may read the batch relearn entries to use in a backpropogation algorithm to update / retrain the neural network of the classification engine.
Owner:MORGAN STANLEY
Safety system method and system for data
ActiveCN105450669ANative Encryption ImplementationRealizing tenure issuesTransmissionData privacy protectionAdaptive management
The invention discloses a safety system method and system for data, and the method comprises the steps: making the authority of data clear and definite; achieving the management of data through building an index and a search engine, and providing services for an application; making a data producer clear and definite through employing private key encryption or signature of the data producer, and employing public key encryption of the data producer for making a data owner clear and definite; carrying out data authority, making a data user clear and definite through employing a public key of the data user for the encryption of the data, and carrying out the recording and management of an authority process through a watermark and a data registration center; carrying out the adaptive management of a data resource; and associating the visit of the application to the data. The method and system can effectively solve and respond to problems and challenges of data safety, data authority, data transaction, data sharing, data privacy protection and others in an open environment. The method and system protect the data safety and the benefits of the data owner to maximum degree, and are wider in application range.
Owner:CHENGDU UNIV
Adaptive management method of wireless transmission network including base stations and wireless relaying stations
ActiveCN101287178AImprove quality and efficiencyImprove resource utilization efficiencyNetwork topologiesRadio/inductive link selection arrangementsQuality of serviceWireless transmission
The invention relates to a self-adaptive management method of a wireless transmission network that comprises a base station and a wireless relay station, which is applied in a wireless transmission network group that consists of the base station and the wireless relay stations managed by the base station. The method comprises steps as follows: (a) management nodes in the wireless transmission network group establish a wireless network topological information structure of the group; (b) the management nodes update the wireless network topological information of the group when the network topological relations of the wireless transmission network group change; (c) the management nodes utilize the wireless network topological information of the group and corresponding strategies to manage the wireless relay stations and mobile terminals which are managed by the management nodes. The method can fully utilize the advantages of the wireless relay stations to enhance coverage and throughput, smartly regulate the topological relations of the wireless relay stations and the base station and the distribution of resources, etc. and effectively enhance the service quality of the wireless transmission network and the utilization rate of the resources.
Owner:ZTE CORP
Adaptive management method with authorization control
InactiveUS20050240593A1Easy transitionSpecific access rightsData processing applicationsAdaptive managementResource Management System
A self-adaptive resource management method and a corresponding system are proposed. In the solution of the invention, an authority (105) publishes multiple rules into a corresponding repository (115). Each rule defines a desired target configuration for a category of subjects (110). Some of the rules can be conditioned to an authorization for their application on the subjects (by means of an optional enabling code). Whenever a generic subject tries to apply a conditioned rule, a test is made to verify whether the application of the rule has been authorized for the subject; if not, the subject is considered not compliant with the rule for a lack of authorization. A supervisor (135) authorizes each enabling code in an asynchronous way (with respect to the application of the corresponding rules); for example, the supervisor can authorize the enabling code for specific subjects, for a group of subjects (defined either statically by a list of subjects or dynamically by their characteristics), or for all the subjects. In this way, the application of the rules on the different subjects can be controlled centrally (for example, during a transition from a resource management system based on the enforcement model) without impairing the self-adaptive model.
Owner:IBM CORP +1
Systems and methods for resource-adaptive workload management
InactiveUS7379953B2Data processing applicationsDigital data processing detailsAdaptive managementResource allocation
Systems and methods are provided for resource adaptive workload management. In a method thereof, at least one execution objective is received for at least one of a plurality of queries under execution. A progress status of, and an amount of resource consumed by, each of the plurality of queries are monitored. A remaining resource requirement for each of the plurality of queries is estimated, based on the progress status of, and the amount of resource consumed by, each of the plurality of queries. Resource allocation is adjusted based on the at least one execution objective and the estimates of the remaining resource requirements.
Owner:GOOGLE LLC
Visual multi-target tracking method based on multiple single trackers
ActiveCN108921880AAvoid associationReduce cumulative errorImage enhancementImage analysisPattern recognitionMargin classifier
The invention discloses a visual multi-target tracking method based on multiple single trackers. The visual multi-target tracking method comprises the steps that targets are detected based on a classifier and are tracked through the multiple visual single-target trackers, the targets and the trackers are corrected through different strategies during tracing, and thus the multiple targets are tracked continuously; specifically, firstly, the target classifier is utilized to detect images so as to obtain the targets, then one visual single-target tracker is assigned to each target, and the multiple visual single-target trackers are utilized to jointly complete the task of multi-target tracking; and in order to deal with the cumulative error of the trackers, targets escaping from the view during tracking and new targets, the update cycle for the multiple single-target trackers and the multi-tracker consistency judgment cycle are introduced, thus adaptive management such as update and consistency judgment is conducted cyclically on the multiple single-target trackers, and the multiple targets are effectively tracked. According to the visual multi-target tracking method, the tracking efficiency is greatly improved, and the requirement for multi-target real-time tracking is basically met.
Owner:XIDIAN UNIV
Reliability management-based uncertainty elimination scene perception system and working method thereof
ActiveCN106650941AEliminate precision issuesEliminate incompletenessKnowledge representationWireless commuication servicesInformation processingAdaptive management
The present invention relates to a reliability management-based uncertainty elimination scene perception system and a working method thereof. The system comprises a scene information collection module, a scene information processing module, a knowledge library module, a scene response module, a scene information application module, a scene information retrieval or subscription module, a scene information correction module, and a user feedback module. The scene processing module comprises a multi-algorithm incompleteness elimination unit, an algorithm result inconsistency elimination unit, a credibility management unit, a reliability management unit, an information source inconsistency elimination unit, a scene information fusion deduction unit, and an adaptive management unit. Through adoption of the system and method, more reliable scene information can be obtained, and the accuracy, reliability and self-adaptation of the scene perception system are improved remarkably.
Owner:SHANDONG UNIV
Systems and methods of adaptive management of caregivers
ActiveUS20170372020A1Improve effectivenessIncrease impactLocal control/monitoringComputer-assisted medical data acquisitionCaregiver personGraphics
Systems and methods for generating a graphical interface and scheduling administrative rounds are presented. The graphical interface may present to an administrator a prioritized list of care providers based on care provider performance, care provider satisfaction, patient satisfaction, and labor data associated with the care provider. A schedule of administrative rounds to counsel the care provider may be presented to the administrator and may be based on the prioritized list, administrator and patient location, and administrator and patient schedule.
Owner:INTEGO SOFTWARE LLC
Adaptive management entity, base station self-configuring method and base station self-configuring system
ActiveCN102685726AImplement the self-configuration processNetwork data managementAdaptive managementElement management system
Owner:CHINA UNITED NETWORK COMM GRP CO LTD
A multi-sensor adaptive management method for cooperative detection of multi-UAV is proposed
ActiveCN109523011AImprove the timeliness of identificationSimple designArtificial lifeGenetic algorithmsViewpointsAdaptive management
The invention relates to a multi-sensor adaptive management method for multi-UAV cooperative detection. The method includes target cooperative recognition model based on Bayesian network reasoning technology. Obtaining The cooperative perception probability of multi-sensor feature level by off-line learning and on-line learning based on Bayesian network. Adopoting Perceptual information entropy tocharacterize the uncertainty of the target category. Based on perceptual information entropy, establishing the detection closed loop of perceptual-learning-decision-making-action from target cooperative recognition to sensor dynamic management i. Using perceptual information entropy increment as the judging criterion of sensor resource dynamic scheduling in multi-UAV cooperative detection network; proposing An intelligent optimization algorithm based on genetic algorithm and particle swarm optimization algorithm to improve the allocation efficiency of multi-UAV-multi-objective. From the viewpoint of multi-sensor and multi-target feature recognition, the unknown target is recognized by using the multi-features detected by multi-sensors.
Owner:HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
Adaptive management method and system with automatic dependency resolution
InactiveUS7228407B2Data processing applicationsDigital computer detailsAdaptive managementRandom order
A resource management method (300) and a corresponding system are proposed. In the solution of the invention, an authority publishes (324) multiple rules, each one defining a desired target configuration for a category of subjects (without any information about their dependencies). Each subject retrieves (320–322, 326) the rules corresponding to its category in a random order. The rules are then applied (427–439) on the subject according to a trial-and-fail approach. Particularly, the application of any failed rule is continually repeated (427–448), until all the rules are successfully applied (463) or a deadlock condition is detected (451). In this way, any dependency is automatically resolved on the subject at run time. Moreover, as soon as all the rules have been successfully applied the compliance of the subject to the rules is verified (455–457) again; should the subject be not compliant to one or more rules any longer, an infinite loop condition is detected (466).
Owner:INT BUSINESS MASCH CORP
A multi-function radar resource adaptive management method based on performance evaluation optimization
ActiveCN108958918AEfficient managementWave based measurement systemsProgram initiation/switchingEvaluation resultRadar
The invention belongs to the technical field of multi-functional radar, in particular to a system resource adaptive scheduling management method of multi-functional phased array radar. The method evaluates each scheduling performance and calculates and analyzes the system resource usage state. A multi-function radar resource adaptive management method based on performance evaluation and optimization is provided. Through the scheduling performance evaluation results and the current system resource utilization status, the dynamic adaptive computation of multi-function radar task comprehensive priority is realized, the task scheduling execution is reasonably arranged, the resource conflicts such as aperture, time, energy and frequency of the system are solved, and the adaptive management of system resources is realized.
Owner:THE 724TH RES INST OF CHINA SHIPBUILDING IND
Internet of Things operating system prototype based on multi-agent
The invention discloses an Internet of Things operating system prototype based on multi-agent. The architecture is characterized in that an information node senses the change of a pervasive environment, an information node monitor is responsible for monitoring the update of the information node and stored context information, a context searcher is responsible for indexing and searching the storedcontext information, an interpreter provides services for the information node monitor and the context searcher, when a change is searched in the context, a related main body is used for performing adaptive management, performing fusion processing on the information according to a parameter adjustment and data prediction model and deducing a high level context according to the related main body ina cloud knowledge base, a decision making agent and an execution agent manage and control the message transmission between the agents and provide the same to an effector, and a multi-agent communication system acts on the pervasive environment. The Internet of Things operating system prototype based on multi-agent is constructed.
Owner:上海齐网网络科技有限公司
Method and system for realizing adaptive management of intelligent gateway through AI edge calculation
InactiveCN110390565ARealize intelligent monitoringSmall amount of calculationAdvertisementsCharacter and pattern recognitionHuman bodyModel sample
The invention discloses a method and system for realizing adaptive management of an intelligent gateway through AI edge calculation. The method comprises the steps: constructing a human body activityscene portrait model, carrying out discrimination of content layering and grading, and obtaining the original data of each layering and grading of a motion state in real time; obtaining scene data after edge calculation, constructing and self-adaptively perfecting an identification model, and optimizing a scene portrait model sample of the motion state of the smart home product; finely distinguishing part of portrait features by using an optimized SVM algorithm and combining different levels of data; and through a deep learning algorithm, carrying out self-learning on the plurality of model samples, and optimizing and perfecting a scene portrait model of the motion state of the smart home product. According to the invention, motion conditions of smart home equipment, a human body and the like are collected in real time through the terminal nodes, the activity scene portrait model is established, regular downloading of the user Internet portrait feature model is realized through edge calculation, model verification is carried out through a supervised learning mode of an SVM, and the calculation amount is reduced.
Owner:厦门市佳音在线股份有限公司
Systems and methods for intelligent, adaptive management of energy storage packs
ActiveUS10283974B2Circuit monitoring/indicationIndicating/monitoring circuitsElectricityAdaptive management
Systems and methods for intelligent, adaptive management of energy storage packs are disclosed. A method comprises receiving a first current measurement of a first energy storage cell electrically connected to a first converter circuit. The first converter circuit controls the charge and discharge of the first energy storage cell. A first voltage measurement of the first energy storage cell is received. A first temperature measurement of the first energy storage cell is received. The first current measurement, the first voltage measurement, and the first temperature measurement are translated into a state of charge of the first energy storage cell.
Owner:VOLTERRA SEMICONDUCTOR
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