Abstract: A method for determining the state of health of a battery by monitoring charging of the battery over multiple charging instances is provided. The method is implemented within charging stations by: recognizing the battery via a unique identifier; charging the battery; monitoring conditions of the battery during charging; storing data related to the current charging instance based at least partially on the monitored conditions; retrieving data related to at least one earlier charging instance of the uniquely identified battery; and making a determination of the uniquely identified battery's state of health based at least partially on a comparison of the data related to the current charging instance and the retrieved data related to at least one earlier charging instance.

Abstract: A failure detection apparatus includes: a first switch configured to be connected to a positive electrode of a battery; a second switch configured to be connected to a negative electrode of the battery; detection resistances that are connected in series between the first switch and the second switch; and a measurement circuit that measures a voltage of the detection resistances, wherein (i) both the first switch and the second switch are turned on to form a failure-detection series-connected circuit consisting of the battery and the detection resistances, and (ii) a failure detection mode is provided to detect a failure based on the voltage measured by the measurement circuit.

Abstract: A powder container includes a nozzle receiving opening, a container body, a nozzle receiver including the nozzle receiving opening; a gear, and two scoops. Further, there is a shutter to open and close the nozzle receiving opening, a spring to bias the shutter, two protrusions which protrude away from the nozzle receiving opening. The scoops extend in the longitudinal direction along a first length, the protrusions extend in the longitudinal direction along a second length, and a position of the first length and a position of the second length at least partly overlap along the longitudinal direction. The powder dropped from the higher position enters the region by passing between the protrusions when the scoops are rotated about the rotational axis, and the protrusions are rotated, due to the rotation of the gear, around the region when the scoops are rotated about the rotational axis.

Abstract: Systems, methods, and devices are provided for determining an early battery depletion (EBD) condition of an implantable medical device that includes a memory storing program instructions and a processor executing the program instructions. Circuitry is electrically coupled to the processor, and the circuitry and processor perform one or more tasks related to at least one of collecting signals indicative of physiologic activity, analyzing collected signals, delivering therapy, or communicating with an external device. A battery supplies energy to the circuitry and processor. A monitoring circuit coupled to the battery measures actual energy usage from the battery representing at least one of a current draw from the battery during corresponding tasks or a voltage measurement across the battery. Circuitry and processor calculate projected energy usage from the battery in connection with the corresponding tasks, and determine when an EBD condition exists based on projected energy usage and actual energy usage.

Abstract: A system, a method, and a computer program product for providing heterogeneous unifying battery storage. A state-of-health value of a battery is determined. The state-of-health value of the battery is less than an original capacity value of the battery. The battery is connected to an electrical power source for re-conditioning. A target state-of-health value for the battery and a number of cycles required to achieve the target state-of-health value of the battery are determined. Each cycle in the number of cycles includes at least one of: a charging the battery and a discharging the battery. The battery is re-conditioned by cycling the battery using the determined number of cycles. Cycling includes drawing electrical power from the electrical power source.

Abstract: The present disclosure discloses a system for vehicle battery life diagnosis, the system comprised of a measuring unit which is installed inside a vehicle and measures a state of charge change and a temperature of a vehicle battery, a calculating unit which calculates battery relaxation voltage when a battery power line is cut off, and a diagnosis unit which uses the state of charge change and temperature measured at the measuring unit and the battery relaxation voltage calculated at the calculating unit to diagnose battery life and status.

Abstract: The battery unit includes a storage configured to store (A1) and (A2) below, and a battery state estimator. (A1): a table map OCV vs. SOC characteristics. (A2): HF vs. SOC initial characteristics. The battery state estimator estimates, based on (A1), a start SOC corresponding to a detected OCV at a start of charge; measures HF vs. SOC present characteristics and detects a peak of differential characteristics of the measured HF vs. SOC present characteristics during the charge; determines a SOC at the detected peak as a SOC(HF) based on (A2); calculates a charge capacity from the start of the charge to detection of the peak; calculates a SOC(OCV) based on the calculated charge capacity and the start SOC; and in a case where the SOC(OCV) deviates with respect to the SOC(HF) by an amount of deviation equal to or greater than a predetermined value, corrects (A1).

Abstract: A method and a system for estimating degradation of a battery for an electric vehicle are provided. The method includes determining a current battery resistance increase rate by measuring an increase in resistance of the battery during charging of the battery, determining an initial battery resistance increase rate on the basis of a predetermined initial battery resistance increase rate map for indicating the battery resistance increase rate of the battery in a begin of life (BOL) state, and calculating current degradation of the battery on the basis of the current battery resistance increase rate and the initial battery resistance increase rate.

Abstract: Provided are an apparatus, method and battery pack for determining a degradation degree of a battery. The apparatus generates first sensing information indicating a voltage and a current of the battery while the battery is charged with a first constant current. The apparatus generates second sensing information indicating a voltage and a current of the battery for a second period during which the battery is discharged with a second constant current. The apparatus determines a first differential capacity curve based on the first sensing information and a second differential capacity curve based on the second sensing information. The apparatus is configured to determine the degradation degree of the battery based on a voltage value of a first charge feature point of the first differential capacity curve and a voltage value of a first discharge feature point of the second differential capacity curve.

Abstract: The present invention relates to a mobile system for continuous, automatic, online monitoring of water quality and particle sampling in a drinking water distribution network, comprising: a mobile unit provided with means for supplying, from at least a selected one of the plurality of points in the drinking water distribution network, a corresponding, selected influent fluid sample stream; means for discharging a corresponding, selected effluent fluid sample stream; for each selected influent fluid sample stream, a respectively associated continuous monitor module.

Abstract: A battery resistance diagnosis device includes a current supply unit configured to supply a preset fixed current to a battery cell, a voltage measurement unit configured to measure an open circuit voltage of the battery cell while the fixed current is supplied, an external resistance calculation unit configured to calculate an external resistance value of the battery based on the fixed current and the open circuit voltage of the battery cell, and an abnormality diagnosis unit configured to diagnose a battery abnormality due to a voltage drop by comparing the calculated external resistance value with a preset external resistance value.

Abstract: An estimation apparatus that estimates a degradation amount of an energy storage device includes: a storage unit; and an arithmetic processing unit. The energy storage device has a characteristic of including a first degradation area in which a temporal transition of a degradation amount shows a first transition and a second degradation area in which the temporal transition of the degradation amount shows a second transition. The storage unit holds first arithmetic data for calculating the degradation amount in the first degradation area, and second arithmetic data for calculating the degradation amount in the second degradation area. The arithmetic processing unit executes determination processing of determining a degradation area of the energy storage device, and estimation processing of selecting arithmetic data corresponding to the degradation area from the storage unit to estimate the degradation amount of the energy storage device.

Abstract: An object of the present invention is to provide a battery state estimation device capable of accurately estimating a deterioration state of an entire battery system in consideration of an SOH distribution of battery cells. The battery state estimation device according to the present invention estimates an SOH of a battery cell by using a correspondence between a time derivative of an output voltage during a pause period of the battery cell and a battery temperature, and estimates a deterioration state of an entire battery system by using the SOHs of a plurality of battery cells (see FIG. 1).

Abstract: A battery management apparatus includes a measuring unit configured to measure a voltage of each of a plurality of battery cells, a converter connected to corresponding battery cells among the plurality of battery cells and configured to form a charge and discharge path between the connected battery cells according to an operation state of a switch included therein, and a control unit configured to receive a voltage value of each of the plurality of battery cells from the measuring unit, control the operation state of the switch included in the converter, calculate a voltage change rate of a charging cell charged by the converter according to the control of the operation state of the switch, and determine whether the charging cell is degraded based on the calculated voltage change rate.

Abstract: A battery current measuring device includes a switching element configured to control charging and discharging of a battery, an A/D converter configured to convert a voltage value across the switching element into a digital value, a temperature compensation unit having a diode structure capable of compensating for a resistance change according to a change of temperature of the switching element, and a current calculation unit configured to calculate a current flowing through the switching element based on the digital value of the voltage value, and the A/D converter converts the voltage value of the switching element into the digital value using a reference voltage inputted from the temperature compensation unit.

Abstract: The invention relates to a device for testing, in particular high-frequency testing, a test item, for example an electrical machine or a converter, comprising: a simulation unit for simulating an electrical energy accumulator using a simulation model; and an electrical connection line, via which the test item can be connected to the simulation unit; wherein the device comprises compensation impedance for compensating for an impedance in accordance with a line inductance of the connection line.

Abstract: The present invention concerns a method for estimating the state of charge (SoC) of an electrochemical element.

Abstract: A battery management system and method for performing a battery health parameter observation, in particular, cell impedance observation, with two redundant, independent and dissimilar lanes. Specifically, a cell impedance observation in a first one of the lanes is based on Electrochemical Impedance Spectroscopy, EIS. The other lane employs a different algorithm than EIS. In embodiments, a battery state observation is further performed independently by the two lanes, wherein again the first lane employs EIS and the other lane a different (dissimilar) algorithm. On the basis of state and health observation, state (state of function) of the battery system can be predicted to determine a range of flight in accordance with a predetermined flight profile.

Abstract: Systems, methods, and devices are provided for estimating a state-of-health (SOH) in an energy storage system, where the estimate accounts for both power fade and capacity fade. The SOH estimation system comprises a SOH estimation module configured to receive, and to determine the estimate of the SOH based on: a nominal capacity input; a voltage input; a current input; a nominal open circuit voltage curve; an operational resistance model; a nominal resistance model; an operational dynamic model; and a rated discharge current. The SOH estimation module may further comprise a SOH aggregation module configured to receive a power rating estimate, PRn, and a normalized capacity estimate, NCn, and may be configured to determine the estimate of the SOH based on the power rating estimate, PRn, and the normalized capacity estimate, NCn.

Abstract: A method for estimating state of health (SOH) of an electric battery includes starting a charging of an electric battery with a charge current, measuring a voltage of the electric battery during the charging, determining a first point in time at which a minimum slope of the voltage curve during the charging occurs, determining a second point in time when the measured voltage of the electric battery equals a maximum charging voltage, determining a SOH-interval between the first point in time and the second point in time, estimating the state of health for the electric battery based on the SOH-interval. The advantage of the method is that an estimated value for the state of health of an electric battery is obtained in an easy and reliable way.