Yokogawa Electric Corporation

Soichiro Torai

Masaru Nakagomi

Satoshi Yoshitake

Masahiro Kazumi

A learning apparatus is provided, which comprises: a characteristic acquisition unit for acquiring one of a voltage and a capacity of a storage battery and a characteristic corresponding to a capacity change and a voltage change of the storage battery under a plurality of conditions during at least one of charging and discharging of the storage battery; and a learning unit for learning a relationship between one of the voltage and the capacity of the storage battery and the characteristic under each of the plurality of conditions to generate an estimation model for estimating at least one of a maximum capacity and a remaining capacity of the storage battery from one of the voltage and the capacity of the storage battery and the characteristic.

Learning apparatus, estimation apparatus, learning method, estimation method, recording medium having recorded thereon learning program, and recording medium having recorded thereon estimation program

A secondary battery capacity measuring system that estimates maximum capacities of other cells using characteristics of a deteriorated cell even when a charging process in the deteriorated cell having a smaller maximum capacity than the other cells in cells constituting a battery module ends and data for measuring the maximum capacities of the other cells cannot be acquired is provided.

Secondary battery capacity measuring system and secondary battery capacity measuring method

A secondary battery capacity measurement system includes a data convertor, an SOC computer, and a maximum capacity computer. The data convertor determines a partial derivative characteristic curve of a capacity-to-voltage derivative over voltage, the partial derivative characteristic curve indicating a characteristic of a capacity-to-voltage derivative, from a set of historical data of time-sequentially-measured values of voltage and current. The SOC computer computes a difference between the partial derivative characteristic curve and a reference derivative curve indicating a reference characteristic of the capacity-to-voltage derivative, and fits the partial derivative characteristic curve to the reference derivative curve by reducing the difference to estimate an SOC. The maximum capacity computer estimates a maximum value of capacity, from the partial derivative characteristic curve and the reference derivative curve. The reference derivative curve is given by a complex of first and second characteristic derivative curves respectively derived from positive and negative electrode materials.

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Tokyo, Japan

Soichiro Torai