Abstract: A data processing system includes an input data processing unit, an intermediate data generation unit, and an output data generation unit. The input data processing unit acquires input data, and converts the input data according to a conversion rule. One example of the conversion rule is to increase the number of values included in the input data by adding dummy data to the input data. The intermediate data generation unit generates intermediate data by processing the input data after the conversion. The intermediate data are, for example, a plurality of rows and/or a plurality of columns of data formed of a plurality of values. The intermediate data include a significant value (i.e., a value desired to be acquired) and a value being a dummy. The output data generation unit generates output data by selecting the significant value of the intermediate data generated by the intermediate data generation unit.

Abstract: A remaining capacity estimation apparatus includes a storage processing unit and a calculation unit. The storage processing unit acquires a model from a model generation apparatus and stores the model in a model storage unit. When data for updating the model are acquired from the model generation apparatus, the storage processing unit updates the model stored in the model storage unit. The calculation unit calculates a remaining capacity of a storage battery managed by the remaining capacity estimation apparatus by using the model stored in the model storage unit. At this time, data (measurement data for calculation) input to the model include a current, a voltage, and a temperature of the storage battery. When the input data when generating the model are only a current, a voltage, and a temperature, the measurement data for calculation are only a current, a voltage, and a temperature.

Abstract: A deterioration estimation apparatus includes a storage processing unit and a calculation unit. The storage processing unit acquires a plurality of models from a model generation apparatus, and stores the models in a model storage unit. A plurality of models are generated by performing machine-learning on training data, the training data using, as input values, measurement data for training indicating a result of measuring a state of a storage battery when the number of charge and discharge times is ?i to ?j (where j?i), and using, as a target value, SOH indicating a deterioration state of the storage battery when the number of charge and discharge times is ? (where ?>?j). The calculation unit uses a plurality of models stored in a model storage unit to calculate an estimation result of transition of SOH of a storage battery managed by the deterioration estimation apparatus.