Abstract: [Object] To detect states of a plurality of secondary batteries whose kinds are different with high accuracy.

Abstract: To provide a secondary battery state detecting device that decreases the deterioration in capacity of the secondary battery and is low in arithmetic cost. A secondary battery state detecting device that detects a state of a secondary battery includes discharge means (discharge circuit (15)) for subjecting the secondary battery (14) to a pulse discharge, acquiring means (controller (10)) for controlling the discharge means to subject the secondary battery to at least one pulse discharge, and acquiring a time variation of a voltage value at that time, calculating means (controller (10)) for calculating a parameter of a predetermined function having time as a variable by fitting the variation of the voltage value acquired by the acquiring means using the predetermined function, and detecting means (controller (10)) for detecting the state of the secondary battery on the basis of the parameter of the predetermined function calculated by the calculating means.

Abstract: To learn a parameter of a simulation model of a battery efficiently. A battery internal state estimating apparatus, estimating an internal state of a battery based on a simulation model of the battery, includes a storing section (RAM10c) that stores a plurality of parameters of the simulation model, a detecting section (I/F10d) that detects a discharge current flowing from the battery to a load, a selecting section (CPU 10a) that selects a parameter to be subjected to adaptive learning based on a value of the discharge current detected by the detecting section, and an adaptive learning section (CPU 10a) that performs adapting learning on a parameter selected by the selecting section.

Abstract: [Object] To detect states of a plurality of secondary batteries whose kinds are different with high accuracy.

Abstract: To provide a secondary battery state detecting device that decreases the deterioration in capacity of the secondary battery and is low in arithmetic cost. A secondary battery state detecting device that detects a state of a secondary battery includes discharge means (discharge circuit (15)) for subjecting the secondary battery (14) to a pulse discharge, acquiring means (controller (10)) for controlling the discharge means to subject the secondary battery to at least one pulse discharge, and acquiring a time variation of a voltage value at that time, calculating means (controller (10)) for calculating a parameter of a predetermined function having time as a variable by fitting the variation of the voltage value acquired by the acquiring means using the predetermined function, and detecting means (controller (10)) for detecting the state of the secondary battery on the basis of the parameter of the predetermined function calculated by the calculating means.

Abstract: A full charge sensing apparatus for sensing a fully charged state of a secondary battery based on an equivalent circuit model of the secondary battery includes a measuring unit that measures a voltage and a current during charging of the secondary battery, a learning unit that performs a learning process on a plurality of parameters in the equivalent circuit model using a result of measurement of the measuring unit, and a determining unit that determines that the secondary battery is in a fully charged state in a case where, among the parameters on which the learning process has been performed by the learning unit, a parameter corresponding to a reaction resistance of the secondary battery is greater than a predetermined threshold.

Abstract: To learn a parameter of a simulation model of a battery efficiently. A battery internal state estimating apparatus, estimating an internal state of a battery based on a simulation model of the battery, includes a storing section (RAM10c) that stores a plurality of parameters of the simulation model, a detecting section (I/F10d) that detects a discharge current flowing from the battery to a load, a selecting section (CPU 10a) that selects a parameter to be subjected to adaptive learning based on a value of the discharge current detected by the detecting section, and an adaptive learning section (CPU 10a) that performs adapting learning on a parameter selected by the selecting section.