1139 results about "State of health" patented technology

A rechargable battery with an internal microcontroller. The microcontroller contains a memory in which data regarding the environment to which the battery is exposed are stored. These data are read by a processor integral with the charger used to charge the battery. If these data indicates the battery may have been subjected to a harsh environment for an excessive period of time, the charger performs a complete state of health evaluation of the battery.

A health monitoring system which tracks the state of health of a patient and compiles a chronological health history of the patient uses a multiparametric monitor which periodically and automatically measures and records a plurality of physiological data from sensors in contact with the patient's body. The data collected is not specifically related to a particular medical condition but, instead, provides the information necessary to derive patterns which are characteristic of healthy patients as well as those who are ill. The data collected is periodically uploaded to a database in which it is stored along with similar health histories for other patients. The monitor is preferably self-contained in a chest strap which is located on the patient's torso, and makes use of a controller which controls sampling of the desired data and storage of the data to a local memory device pending uploading to the database. The more voluminous data collected is reduced and compressed prior to storage in the local memory device. Preferably, much of the monitor circuitry is run intermittently to conserve power. The monitor data is supplemented with subjective data (such as psychological and environmental conditions) collected from the patient using a handheld data input device which runs a program to solicit information from the patient. The subjective data collected is chronologically aligned with the monitor data in the database such that the health history of a patient includes both objective and subjective medical data.

A method and system monitor a communications network, e.g., a controller area network (CAN), and more specifically, an in-vehicle communications network, by maintaining a count of each type of error code and a histogram of all network messages seen by each of the controllers during a measurement period; and by determining a bus health index of the communication bus based upon a percentage of a given type of error to the total count of all errors during a measurement period. An individual controller or controller area network bus segment can be indicated as having a communications problem as a result of the health index.

A system for managing mobility of an electrically-powered vehicle. The system includes a monitoring module comprising a plurality of sensors. Each of the plurality of sensors is configured to sense the status of at least one feature of each of the electrically-powered vehicle, an environment in which the electrically-powered vehicle is residing, and a state of health of a battery of the electrically-powered vehicle. A mobility analysis module estimates mobility of the electric-powered vehicle based on the sensed status, and a telematics module displays the sensed statuses, the estimated mobility, or both. The telematics module resides on a cloud-based server.

Systems and computer-implemented methods are used for analyzing battery information. The battery information may be acquired from both passive data acquisition and active data acquisition. Active data may be used for feature extraction and parameter identification responsive to the input data relative to an electrical equivalent circuit model to develop geometric-based parameters and optimization-based parameters. These parameters can be combined with a decision fusion algorithm to develop internal battery parameters. Analysis processes including particle filter analysis, neural network analysis, and auto regressive moving average analysis can be used to analyze the internal battery parameters and develop battery health metrics. Additional decision fusion algorithms can be used to combine the internal battery parameters and the battery health metrics to develop state-of-health estimations, state-of-charge estimations, remaining-useful-life predictions, and end-of-life predictions for the battery.

Systems and methods for health management of rechargeable batteries are disclosed. In one embodiment, a rechargeable battery system includes a rechargeable battery, and a battery health management unit operatively coupled to the rechargeable battery and including a state of health module configured to estimate a battery health by receiving battery-related data and predicting one or more failure modes. The state of health module may further include a prognostic failure mode component configured to combine at least one flight data variable with at least one model-based prognostic. In alternate embodiments, the battery health management unit may further include a state of life module and a state of charge module.

A health monitoring system which tracks the state of health of a patient and compiles a chronological health history of the patient uses a multiparametric monitor which periodically and automatically measures and records a plurality of physiological data from sensors in contact with the patient's body. The data collected is not specifically related to a particular medical condition but, instead, provides the information necessary to derive patterns which are characteristic of healthy patients as well as those who are ill. The data collected is periodically uploaded to a database in which it is stored along with similar health histories for other patients. The monitor is preferably self-contained in a chest strap which is located on the patient's torso, and makes use of a controller which controls sampling of the desired data and storage of the data to a local memory device pending uploading to the database. The more voluminous data collected is reduced and compressed prior to storage in the local memory device. Preferably, much of the monitor circuitry is run intermittently to conserve power. The monitor data is supplemented with subjective data (such as psychological and environmental conditions) collected from the patient using a handheld data input device which runs a program to solicit information from the patient. The subjective data collected is chronologically aligned with the monitor data in the database such that the health history of a patient includes both objective and subjective medical data.

A sensing system for use in monitoring the structural health of a structure such as a polymeric matrix composite structure is provided. The system includes a sensor formed from a conductive ink containing carbon nanofibers and a polymeric resin, and a data acquisition system for acquiring and evaluating data from the sensor. The conductive ink may be applied directly to the structure to be monitored in the form of a grid pattern. Damage to the structure may be detected by measuring changes in resistance values detected from the sensor.

The invention provides a combined estimation method for lithium ion battery state of charge, state of health and state of function. The combined estimation method comprises the steps that the state of he---alth of a battery is estimated online: open circuit voltage and internal resistance are identified online by adopting a recursive least square method with a forgetting factor, the state of charge is indirectly acquired according to a pre-established OCV-SOC corresponding relation, and then the size of battery capacity is estimated according to cumulative charge and discharge electric charge between two SOC points; the state of charge of the battery is estimated online: the state of charge of the battery is estimated by adopting the Kalman filter algorithm based on a two-order RC equivalent circuit model, and the battery capacity parameter in the Kalman filter algorithm is updated according to the estimation result of battery capacity; and the state of function of the battery is estimated online: the maximum chargeable and dischargeable current is calculated based on the voltage limit and the current limit of the battery according to internal resistance obtained by online identification, and then the maximum chargeable and dischargeable function can be obtained through further calculation.

The invention discloses an SOC (State of Charge) and SOH (State of Health) prediction method of an electric vehicle-mounted lithium iron phosphate battery, which comprises the following steps of: (a) improving a Thevenin cell equivalent model; (b) determining the state equation and the output equation of a system; (c) identifying battery model parameters; (d) using a Kalman filter algorithm to iterate the state variables of the system, so that the predictive value of SOC is closer to the actual value; and (e) using a dual-channel Kalman filter algorithm to carry out the online predication of an internal resistance and capacity of the lithium iron phosphate battery, and simultaneously predicating the SOH of the battery according to the changes in the internal resistance and the capacity value of the battery in the current state and the initial state. With the method, the predication precision of SOH of the battery is effectively improved, the decline in battery performance can be determined more accurately, and the internal resistance and capacity information of the battery is combined to provide a basis for making the battery management strategy and maintaining and replacing the battery.

A method of estimating a state of charge (SOC) and a state of health (SOH) of an electrochemical cell (EC) includes modeling the EC with a linear equation, measuring a terminal current of the EC, measuring a terminal voltage of the EC and measuring a temperature of the EC. The linear equation is processed through a time-varying state and parameter estimator based on the terminal current, the terminal voltage and the temperature to determine states and parameters of the EC.

A model of battery reserve life that a function of a SOH indicator is adaptively modified responsive to intermittent capacity tests of a battery, e.g., based on reserve life estimates generated responsive to the capacity tests. The SOH indicator for the battery is monitored to generate SOH indicator values, and estimates of reserve life are generated from the generated SOH indicator values according to the adaptively modified model of reserve life. For example, a capacity test may be performed responsive to detection of a change in reserve life as estimated by the model of reserve life, and the model of reserve life may be modified responsive to the capacity test. The battery reserve life model may, for example, express reserve life as a function of a float voltage, a float current, a temperature, a charge / discharge cycling, an impedance, a conductance, a resistance, and / or a coup de fouet parameter. The invention may be embodied as methods, apparatus and computer program products.

The invention discloses a method for predicting the left capacity and the health status of a storage battery. According to the invention, predicting the left capacity of the battery based on an ampere hour integration method and an open-circuit voltage method is realized, an adjustment is carried out based on discharge currents and ambient temperature, a self correction is carried out in a process of continuous driving and influences from cell agedness on electric capacity prediction are corrected. Based on the working characteristic of a vehicle cell, a cell failure determination mode based on a combination of open-circuit voltage and ampere hour integration is put forward and the trouble of carrying out a check discharge test towards the cell is avoided. Experiments show that in the case of vehicle power storage battery which is not at a float status in a long term, the capacity obtained from the method has a high reliability. The invention is directed to the social background that motor-assisted bicycles are frequently used at present while most users know little about the cell status and has great application significances.

The invention features methods, systems, and computer programs for generating a customized set of possible medical conditions, thereby providing access to medical information relevant to the user's state of health. The methods and systems involve at least some of the following steps: receiving a list of symptoms specified in terms selected from a first language set; translating the list of symptoms into a translated list of symptoms specified in terms selected from a second language set; using the translated list of symptoms to generate possible medical conditions, the possible medical conditions described in terms of the second language set; and translating the possible medical conditions into descriptions that are specified in terms selected from the first language set.

A battery health monitor (BHM) that operates as a battery-mountable full-spectrum alternating current (ac) impedance meter that facilitates monitoring a state-of-charge and a state-of-health of a battery. The BHM is used for monitoring one or more electrical parameters, e.g., impedance, of a battery. The BHM includes: a current sink coupled to the first terminal and configured to sink therefrom an oscillatory current so as to cause the battery to produce at a first terminal thereof an oscillatory voltage equal to or less than a dc operating voltage of the battery that would be present at the first terminal in the absence of the oscillatory current; and a voltage sensor configured to sense the oscillatory voltage at the first terminal.

A model of battery reserve life that a function of a SOH indicator is adaptively modified responsive to intermittent capacity tests of a battery, e.g., based on reserve life estimates generated responsive to the capacity tests. The SOH indicator for the battery is monitored to generate SOH indicator values, and estimates of reserve life are generated from the generated SOH indicator values according to the adaptively modified model of reserve life. For example, a capacity test may be performed responsive to detection of a change in reserve life as estimated by the model of reserve life, and the model of reserve life may be modified responsive to the capacity test. The battery reserve life model may, for example, express reserve life as a function of a float voltage, a float current, a temperature, a charge / discharge cycling, an impedance, a conductance, a resistance, and / or a coup de fouet parameter. The invention may be embodied as methods, apparatus and computer program products.

This invention measures the exact value of impedance voltage (Vis) from AC actual waveform (VSM) which includes ripple noise voltage, and suggests the inventive circuits and softwares capable of acquiring the effective resistance of battery internal impedance and the operational algorithm of the diagnosis for the expected life of battery string. In accordance with a series of functional operations and the execution of the program in MPU, this diagnostic system can find the cause of aging progress in advance and settle by unmanned monitoring the healthiness of emergency power system always in real time at remote site.

An apparatus estimates SOH of a battery based on a battery voltage variation pattern. A data storing unit obtains and stores battery voltage, current and temperature data from sensors, at each SOH estimation. A first SOC estimating unit estimates first SOC by current integration using the battery current data. A second SOC estimating unit estimates open-circuit voltage from the voltage variation pattern, and calculates and stores second SOC corresponding to the open-circuit voltage and temperature using correlations between the open-circuit voltage / temperature and SOC. A weighted mean convergence calculating unit calculates and stores convergence value for weighted mean value of ratio of the second SOC variation to the first SOC variation. A SOH estimating unit estimates capacity corresponding to the weighted mean convergence value using correlation between the weighted mean convergence value and the capacity, estimates relative ratio of the estimated capacity to an initial capacity, and stores it as SOH.

A method for distributed health monitoring and fault repairing in a switching system. The switching system having one or more supervisory cards, one or more line cards, and one or more switch fabric cards. The method includes transmitting a health status poll request message to the one or more line cards and the one or more switch fabric cards. Thereafter, the method includes receiving health status poll response messages from each of the one or more line cards and the one or more switch fabric cards. Each health status poll response message includes health status summary of the corresponding card. Further, the method involves detecting one or more faults in the switching system based on the health poll response messages. Finally, the method includes triggering at least one action on the detection of the faults in the switching system. These actions are triggered based on a set of predefined rules.

A method, system, and computer network for improving the accuracy of state of health / state of charge calculations of a battery product utilizing a battery tracking network communicating with a battery product, providing for the collection and recording of data from the operational environment of the battery product. Transmitting the collected and recorded data from all battery products in the battery tracking network through the battery tracking network to a database system. Storing the data in the database system. Calculating, using a state of charge / state of health algorithm, an estimated state of charge / state of health and comparing the accuracy of the calculation to the data collected. Then adjusting the state of health / state of charge algorithm based on the comparison with the collected data to improve the accuracy of the state of health / state of charge algorithm. The algorithm being adjusted and transmitted to the battery product to aid in calculating and displaying a state of health / state of charge of the battery product based on the adjusted state of health / state of charge algorithm for review by an operator.

A system to monitor the health of a structure, health monitoring sensor nodes, program product, and associated methods are provided. The system includes an array of health monitoring sensor nodes connected to or embedded within a structure to monitor the health of the structure. Each health monitoring sensor node includes sensor elements positioned to sense parameters of the structure and to provide data related to the parameters to a health monitoring sensor node interrogator. Each health monitoring sensor node includes a processor or other means reducing raw sensor data to thereby reduce communication bandwidth requirements, and can include memory or other storage for storing the reduced data and an antenna arrangement for providing the reduced data to the health monitoring sensor node interrogator.

Methods and apparatuses for estimation of a state-of-health in a battery are disclosed. An example method comprises: determining if a terminal voltage of the chemical battery differs from a calculated terminal voltage; in response to determining that the terminal voltage of the chemical battery differs from the calculated terminal voltage, calculating a range of voltages by taking the convolution of a terminal current of the chemical battery with a range of impulse responses from a look up table of impulse responses corresponding to different states-of-health; comparing the terminal voltage of the chemical battery with the range of calculated voltages to determine a second impulse response that corresponds to the case where the terminal voltage matches the calculated voltage; and using the look up table of impulse responses corresponding to different states-of-health to determine the state-of-health of the chemical battery from the second impulse response. Other embodiments are described and claimed.

Disclosed is a method and apparatus of estimating a state of health (SOH) of a battery using internal resistance, which has been found to act as a parameter exerting the greatest influence on the SOH of the battery. The method comprises the steps of: storing an SOH estimation table constructing SOH values corresponding to various values of internal resistance according to temperature and a state of charge (SOC) in a memory; performing measurement of the temperature and estimation of the SOC of the battery when a request is made to estimate the SOH; detecting the internal resistance value of the battery; and reading the SOH values corresponding to the measured temperature, the estimated SOC of the battery, and the detected internal resistance value of the battery from the SOH estimation table.

An apparatus for estimating state-of-health (SOH) of a battery is disclosed, which comprises: a measurement unit, for measuring a working current, a working voltage and a working temperature of the battery; an observer unit, for observing voltages at an output end and RC parallel circuits of the battery; an adaptive algorithm unit, for updating parameters of the battery; an internal voltage estimation unit, for estimating the internal voltages of the RC parallel circuits; an open-circuit voltage (OCV) estimation unit, for estimating static open-circuit voltage of the battery; a SOH estimation unit, for estimating an SOH of the battery; and a state-of-charge (SOC) estimation unit, for estimating a SOC of the battery.

A battery management system and a driving method thereof includes a sensing unit and a micro control unit (MCU). The sensing unit measures a battery temperature and a battery current. The MCU receives the battery temperature and current, detects battery internal resistance corresponding to an estimated state of charge (SOC) and the battery temperature when the estimated SOC is included within an SOC area corresponding to the transmitted battery temperature, and estimates a battery state of health (SOH) by using the battery internal resistance. In the SOC area, a variation of the battery internal resistance is minimized.

The invention relates to an SOH (state-of-health) online estimation method of a battery pack. The SOH online estimation method comprises the following steps of: measuring temperature T, voltage V and current I of an electric automobile during actual operation to acquire the following function: SOC (state-of-charge)=f(T, V, I) by utilizing a normalization algorithm, establishing a database with one-to-one correspondence between the temperature T, the voltage V and the current I and the SOC, measuring the SOC of a monomer battery with lowest voltage in an online manner by utilizing the database, and further measuring the SOH of the battery pack. The SOH online estimation method disclosed by the invention has the beneficial effects that: 1) as the measured SOC is that of the monomer battery with the lowest voltage, which is a key factor for restricting the discharge capacity of the battery pack, a user can know the SOH of the batteries in a more visual manner, the remaining capacity of the batteries can be judged in a more accurate manner by combining with the SOC value, and the continue voyage course of the electric automobile can be estimated in a more accurate manner; and 2) if the problem is caused by attenuation of the battery capacity, the problem can be obviously seen through the SOH, and the efficiency of after-sale service is improved.

The invention discloses a method and a device for detecting a state of health (SOH) of a battery. The method includes the steps: an absorption capacity value or a discharge capacity value in any capacity interval in the process of normal charging or discharging of the battery is monitored; a current battery actual capacity value in the capacity interval is acquired through computation by utilizing the capacity value; and the specific value of the SOH of the battery is computed by utilizing the current battery actual capacity value and a battery rated capacity value. The device can detect the SOH of the battery by utilizing the method. According to the method and the device for detecting the SOH of the battery, the absorption capacity value or the discharge capacity value in a characteristic capacity interval in the process of normal charging or discharging of the battery is monitored to detect the battery current actual capacity value and the specific value of the SOH so as to detect the SOH of the battery, average and effectiveness of the battery actual capacity values and the specific value of the SOH are judged for a plurality of times to improve detection accuracy, and therefore detection of the SOH of the battery is achieved effectively.

Disclosed herein are methods and apparatus including medical devices having features for monitoring sounds and motions indicative of a state of health or administration of CPR to a subject. In one embodiment, a therapeutic device such as a therapy electrode comprises a layer configured to deliver a therapy to a subject and an acoustic sensor on the therapeutic device and coupled to the layer.