Abstract: According to one embodiment, an information processing apparatus includes processing circuitry configured to acquire measurement data including a plurality of amounts of charge and a plurality of voltage values in a target rechargeable battery; calculate, based on the measurement data, a first feature related to a range of the voltage values with respect to the amounts of charge and a second feature related to a change of the voltage values with respect to the amounts of charge; and estimate a state of the target rechargeable battery based on the first feature and the second feature.

Abstract: According to an embodiment, an information processing apparatus includes one or more hardware processors. The one or more hardware processors are configured to: calculate frequencies at each of which corresponding one of a plurality of first batteries has a specific attribute, based on a plurality of pieces of operation data obtained during operation of a second battery that is a battery including the plurality of first batteries each functioning as a battery, the plurality of pieces of operation data including the specific attribute and identification information for identifying a first battery having the specific attribute, the specific attribute satisfying a predetermined condition in an attribute of the plurality of first batteries; and identify a first battery in a specific state among the plurality of first batteries, based on the frequencies.

Abstract: According to an embodiment, an information processing device includes one or more processors configured to: analyze operation data of a battery and calculate feature information indicating a feature of charging/discharging by the battery; select, in accordance with the feature information, an estimation method among a plurality of estimation methods for estimating a state of the battery from the operation data; and estimate the state from the operation data using the selected estimation method.

Abstract: According to one embodiment, an information processing device according to the present embodiment includes a processing circuitry that calculates target transition data representing a transition of a value of an index regarding a state of a target storage battery based on measurement data regarding the target storage battery, and estimates a timing at which a target event occurs in the target storage battery based on the target transition data and at least one piece of reference transition data representing a reference transition of the value of the index regarding a state of a storage battery in a period from a first time to a second time at which the target event occurs in the storage battery.

Abstract: According to an embodiment, an information processing device includes one or more hardware processors configured to select, from a plurality of common data being time-series data indicating changes in charging and discharging of a battery and associated with mutually different feature information indicating features of the charging and discharging, a plurality of common data associated with the feature information identical to or similar to specified first feature information, and to generate first time-series data for the first feature information by synthesizing the plurality of selected common data.

Abstract: According to one embodiment, an information processing apparatus includes processing circuitry configured to acquire measurement data including a plurality of amounts of charge and a plurality of voltage values in a target rechargeable battery; calculate, based on the measurement data, a first feature related to a range of the voltage values with respect to the amounts of charge and a second feature related to a change of the voltage values with respect to the amounts of charge; and estimate a state of the target rechargeable battery based on the first feature and the second feature.

Abstract: A time series data analysis method, includes: generating a plurality of first feature vectors including feature amounts of a plurality of feature waveforms, based on distances from a plurality of first time series data sequences to the plurality of feature waveforms, the first time series data sequences belonging to a first class; generating a plurality of second feature vectors including feature amounts of the plurality of feature waveforms, based on distances from a plurality of second time series data sequences to the plurality of feature waveforms, the plurality of second time series data sequences belonging to a second class; and updating the plurality of feature waveforms, based on the plurality of first feature vectors, the plurality of second feature vectors, a performance indicator parameter related to a performance indicator for a classification model and a model parameter including weights on the plurality of feature waveforms.

Abstract: There is provided a rechargeable battery evaluation device including: a charging controller configured to switch charging current of a rechargeable battery being charged with first current to second current; and a first state estimator configured to estimate a state of the rechargeable battery based on a feature of change in at least one of a voltage and a charging amount of the rechargeable battery due to switching from the charging current to the second current.

Abstract: The information processing apparatus of the present embodiment includes a processing circuitry configured to: acquire a plurality of pieces of operation data including a minimum voltage among voltages of a plurality of battery cells, and a maximum voltage among the voltages of the plurality of battery cells, the plurality of battery cells being included in a rechargeable battery, and identification information identifying between charge or discharge of the rechargeable battery; generate, based on the plurality of pieces of operation data, evaluation target voltages by combining one of maximum voltages of the charge and minimum voltages of the charge and one of maximum voltages of the discharge and minimum voltages of the discharge; and determine, based on a voltage distribution of the evaluation target voltages, a state of the rechargeable battery.

Abstract: According to an embodiment, an information processing device includes one or more processors configured to: analyze operation data of a battery and calculate feature information indicating a feature of charging/discharging by the battery; select, in accordance with the feature information, an estimation method among a plurality of estimation methods for estimating a state of the battery from the operation data; and estimate the state from the operation data using the selected estimation method.

Abstract: According to one embodiment, the information processing device includes: a first state estimator configured to estimate a state of a target rechargeable battery based on: first data including a charge amount and voltage value of a rechargeable battery; information including a state of the rechargeable battery; and second data including a charge amount and voltage value of the rechargeable battery.

Abstract: According to one embodiment, an information processing apparatus, includes: processing circuitry configured to calculate, based on measured data of a voltage value and a charge amount of a rechargeable battery which is controlled for charge/discharge according to a charge/discharge command value, first information indicating a change of the voltage value with respect to the charge amount; and acquire second information indicating a reference change of a voltage value with respect to a charge amount in accordance with a range of the voltage values in the measured data and estimate a state of the rechargeable battery based on the first information and the second information.

Abstract: An information processing apparatus includes: an SoH calculator to calculate an SoH (State of Health) for each of a plurality battery units on the basis of measurement data related to an electric power applied to each of the plurality of battery units in a rechargeable battery; a maximum/minimum voltage SoH calculator to calculate a maximum/minimum voltage SoH which is an SoH based on a maximum voltage and a minimum voltage in voltages applied to a plurality of cells or a plurality of battery subunits in the battery unit for each of the plurality of battery units on the basis of the measurement data; and an SoH ratio calculator to calculate an SoH ratio which is a ratio of the maximum/minimum voltage SoH to the SoH for each of the plurality of battery units on the basis of the calculated SoH and the calculated maximum/minimum voltage SoH.

Abstract: An apparatus as an aspect of the present invention is a factor analysis apparatus that analyzes a relationship between a target event that is a target of factor analysis and an assumed factor of the target event, and includes a similarity calculator, a first influence calculator, and a second influence calculator. The similarity calculator calculates a degree of similarity between a data item included in provided time-series data and the assumed factor. The first influence calculator calculates a first degree of influence indicating a degree of influence of the data item on the target event on the basis of time-series data of the data item and time-series data of the target event. The second influence calculator calculates a second degree of influence indicating a degree of influence of the assumed factor on the target event on the basis of the degree of similarity and the first degree of influence.

Abstract: According to one embodiment, the information processing device includes: a first state estimator configured to estimate a state of a target rechargeable battery based on: first data includes a charge amount and voltage value of a rechargeable battery; information including a state of the rechargeable battery; and second data including a charge amount and voltage value of the rechargeable battery.

Abstract: There is provided a rechargeable battery evaluation device including: a charging controller configured to switch charging current of a rechargeable battery being charged with first current to second current; and a first state estimator configured to estimate a state of the rechargeable battery based on a feature of change in at least one of a voltage and a charging amount of the rechargeable battery due to switching from the charging current to the second current.

Abstract: A time series data analysis method, includes: generating a plurality of first feature vectors including feature amounts of a plurality of feature waveforms, based on distances from a plurality of first time series data sequences to the plurality of feature waveforms, the first time series data sequences belonging to a first class; generating a plurality of second feature vectors including feature amounts of the plurality of feature waveforms, based on distances from a plurality of second time series data sequences to the plurality of feature waveforms, the plurality of second time series data sequences belonging to a second class; and updating the plurality of feature waveforms, based on the plurality of first feature vectors, the plurality of second feature vectors, a performance indicator parameter related to a performance indicator for a classification model and a model parameter including weights on the plurality of feature waveforms.

Abstract: An apparatus as an aspect of the present invention is a factor analysis apparatus that analyzes a relationship between a target event that is a target of factor analysis and an assumed factor of the target event, and includes a similarity calculator, a first influence calculator, and a second influence calculator. The similarity calculator calculates a degree of similarity between a data item included in provided time-series data and the assumed factor. The first influence calculator calculates a first degree of influence indicating a degree of influence of the data item on the target event on the basis of time-series data of the data item and time-series data of the target event. The second influence calculator calculates a second degree of influence indicating a degree of influence of the assumed factor on the target event on the basis of the degree of similarity and the first degree of influence.

Abstract: According to one embodiment, a diagnostic device includes an anomaly diagnoser and a graph creator. The anomaly diagnoser performs anomaly diagnosis based on first measured data. The graph creator determines parameter information for graph production in accordance with a result of the anomaly diagnosis and creates a first graph from the first measured data based on the parameter information.

Abstract: According to this embodiment, an information processor comprises an electrical connection relation generating unit which generates an electrical connection relation of a plurality of components by adjusting the electrical connection relation of the components determined by the number of connections which each component can make with other components and a kind of the components of each hierarchy, based on the number of the components of a predetermined kind that can be arranged in a given space and an electrical permissible amount of the component in a top layer of the hierarchy. The information processor comprises a spatial arrangement determining unit which determines spatial arrangement of the components of the predetermined kind, based on the electrical connection relation generated by the electrical connection relation generating unit and rules of the spatial arrangement of the components.