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: A bias estimation apparatus according to an embodiment estimates a bias included in a measured values by each sensor. The bias estimation apparatus includes a reference model builder, a temporary bias generator, a corrected measured value calculator, a similarity calculator, a similarity selector, a score calculator, and an estimated bias determiner. The reference model builder builds a reference model of the measured value packs. The temporary bias generator generates a temporary bias pack. The corrected measured value calculator calculates corrected measured value packs. The similarity calculator calculates a similarity of each corrected measured value pack. The similarity selector selects a part of the similarities according to their values from among the similarities. The score calculator calculates a score based on the selected similarities. The estimated bias determiner determines an estimated bias which is an estimated value of the bias based on the score.

Abstract: According to one embodiment, an evaluation device for an energy storage device includes first processing circuitry and second processing circuitry. The first processing circuitry acquires data items including an amount of charge and a voltage value measured in a measurement period from the energy storage device, the energy storage device being charge-discharge-controlled according to charge-discharge command values. The second processing circuitry generates a representative data item of voltage values for amounts of charge, based on the data items acquired for the measurement period; and evaluates a degradation state of the energy storage device, based on a relative change between a plurality of the representative data items corresponding to a plurality of the measurement periods.

Abstract: According to one embodiment, an evaluation device includes first processing circuitry and second processing circuitry. The first processing circuitry calculates a feature value of an energy storage device based on voltage values measured from the energy storage device being subjected to charge-discharge-control according to charge-discharge command values. The second processing circuitry derives an evaluation function of a degradation state of the energy storage device according to a difference between a distribution of the charge-discharge command values and a reference distribution. The second processing circuitry evaluates the degradation state of the energy storage device, based on the evaluation function and the calculated feature value.

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: According to one embodiment, a device for evaluating an energy storage device includes first processing circuitry and second processing circuitry. The first processing circuitry detects a plurality of times at which an amount of charge of the energy storage device satisfies a threshold condition, based on measurement data on the energy storage device in operation, selects a plurality of time intervals, calculates a charge-discharge efficiency in each of the time intervals based on charge-discharge command values belonging to the time interval, and divides a set of the charge-discharge efficiencies into a plurality of clusters and generates characteristic information on the clusters based on at least one of the measurement data and the charge-discharge command values. The second processing circuitry generates output data for displaying: transition data indicating transition of the charge-discharge efficiency belonging to the cluster; and characteristic information on the cluster.

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: According to one embodiment, a sensor failure diagnosis device includes a drift estimator and a global rank determiner. The drift estimator estimates, based on data on measured values from sensors contained in a plurality of sensor groups including a sensor under inspection, whether or not drift failure that is steady deviation of a measured value from a true value has occurred in the sensor under inspection or a degree of the drift failure. The global rank determiner determines global ranks that are priorities of the plurality of sensor groups in the inspection based on a plurality of estimated results by the drift estimator.

Abstract: According to one embodiment, a device for evaluating an energy storage device includes first processing circuitry and second processing circuitry. The first processing circuitry detects a plurality of times at which an amount of charge of the energy storage device satisfies a threshold condition, based on measurement data on the energy storage device in operation, selects a plurality of time intervals, calculates a charge-discharge efficiency in each of the time intervals based on charge-discharge command values belonging to the time interval, and divides a set of the charge-discharge efficiencies into a plurality of clusters and generates characteristic information on the clusters based on at least one of the measurement data and the charge-discharge command values. The second processing circuitry generates output data for displaying: transition data indicating transition of the charge-discharge efficiency belonging to the cluster; and characteristic information on the cluster.

Abstract: In one embodiment, a sensor assignment apparatus includes a measured value storage, a generator, a calculator, and a selector. The measured value storage stores measured values of a plurality of sensors. The generator generates combinations of sensors and arguments of a function to diagnose sensors by assigning sensors to its arguments. The calculator calculates evaluation values which are based on the function values. The function values are obtained by applying diagnostic functions to measured values for all combinations generated by the generator. The selector selects at least one combination from the resulting set of the generator by considering the evaluation values of combinations calculated by the calculator.

Abstract: According to one embodiment, an evaluation device includes first processing circuitry and second processing circuitry. The first processing circuitry calculates a feature value of an energy storage device based on voltage values measured from the energy storage device being subjected to charge-discharge-control according to charge-discharge command values. The second processing circuitry derives an evaluation function of a degradation state of the energy storage device according to a difference between a distribution of the charge-discharge command values and a reference distribution. The second processing circuitry evaluates the degradation state of the energy storage device, based on the evaluation function and the calculated feature value.

Abstract: An air conditioning performance estimation device includes a processor, a data estimator, and a heat quantity estimator. The processor is configured to extract data to be used for estimating a generated heat quantity among indoor equipment data which is data relating to input/output of indoor equipment, and perform processing of converting the extracted data into a format used for estimating the generated heat quantity. The data estimator is configured to estimate unacquired data from acquired data, the acquired data being different from the unacquired data, in a case where there is the unacquired data that is data not included in the indoor equipment data among data used for estimating the generated heat quantity. And the heat quantity estimator is configured to estimate the generated heat quantity on a basis of the acquired data and the estimated data.

Abstract: According to one embodiment, a sensor failure diagnosis device includes a drift estimator and a global rank determiner. The drift estimator estimates, based on data on measured values from sensors contained in a plurality of sensor groups including a sensor under inspection, whether or not drift failure that is steady deviation of a measured value from a true value has occurred in the sensor under inspection or a degree of the drift failure. The global rank determiner determines global ranks that are priorities of the plurality of sensor groups in the inspection based on a plurality of estimated results by the drift estimator.

Abstract: A bias estimation apparatus according to an embodiment estimates a bias included in a measured values by each sensor. The bias estimation apparatus includes a reference model builder, a temporary bias generator, a corrected measured value calculator, a similarity calculator, a similarity selector, a score calculator, and an estimated bias determiner. The reference model builder builds a reference model of the measured value packs. The temporary bias generator generates a temporary bias pack. The corrected measured value calculator calculates corrected measured value packs. The similarity calculator calculates a similarity of each corrected measured value pack. The similarity selector selects a part of the similarities according to their values from among the similarities. The score calculator calculates a score based on the selected similarities. The estimated bias determiner determines an estimated bias which is an estimated value of the bias based on the score.

Abstract: In one embodiment, a diagnosis model generating apparatus includes a physical parameter calculator, a first residual calculator, a physical model determiner, a second residual calculator, a searcher, and a generator. The physical parameter calculator calculates a parameter value of a parameter having an undetermined value of a first physical model. The first physical model represents a relationship between the variables. The first residual calculator calculates a first residual of the first physical model. The physical model determiner determines whether to adopt the first physical model. The second residual calculator calculates a second residual of the first physical model that has not been adopted by the physical model determiner. The searcher searches for a measured value correlated with the second residual from among measured values not assigned to the variables. The generator generates a second physical model. The second physical model represents a relationship between the variables.

Abstract: In one embodiment, a sensor assignment apparatus includes a measured value storage, a generator, a calculator, and a selector. The measured value storage stores measured values of a plurality of sensors. The generator generates combinations of sensors and arguments of a function to diagnose sensors by assigning sensors to its arguments. The calculator calculates evaluation values which are based on the function values. The function values are obtained by applying diagnostic functions to measured values for all combinations generated by the generator. The selector selects at least one combination from the resulting set of the generator by considering the evaluation values of combinations calculated by the calculator.

Abstract: There is provided a decomposition calculating apparatus in which the first storage stores therein a connection configuration of a plurality of elements in an electric power system, the second storage stores therein possible ranges of respective quantities of consumed energy of the elements, the solution region generator develops the ranges of the quantities of consumed energy, in a space formed by axes indicative of the respective quantities of consumed energy of the elements and obtains a solution region being a region common to the ranges of the quantities of consumed energy in the space, the enclosing ball calculator obtains a ball which encloses the solution region and has a smallest radius, and acquires a central coordinate of the ball, and the proportional division determiner determines quantities of consumed energy of the elements to values of the axes corresponding to the central coordinate in the space.

Abstract: According to an aspect of the present invention, there is provided with a data division apparatus which divides multi-dimensional data, including: a data input unit which inputs multi-dimensional data; a division plane candidate creator which creates a plurality of division plane candidates for dividing the multi-dimensional data; a data provisional division unit which provisionally divides the multi-dimensional data by using the division plane candidate to generate clusters; a model generator which generates models from the clusters; an evaluation value calculator which calculates an evaluation value on the basis of the generated models and the multi-dimensional data; a division candidate selector which compares evaluation values respectively corresponding to the division plane candidates and selects a division plane candidate having a highest evaluation value; and a data division unit which divides the multi-dimensional data by using the selected division plane candidate.