Abstract: A power storage system with excellent characteristics is provided. A power storage system with a high degree of safety is provided. A power storage system with less deterioration is provided. A storage battery with excellent characteristics is provided. The power storage system includes a neural network and a storage battery. The neural network includes an input layer, an output layer, and one or more hidden layers between the input layer and the output layer. The predetermined hidden layer is connected to the previous hidden layer or the previous input layer by a predetermined weight coefficient, and connected to the next hidden layer or the next output layer by a predetermined weight coefficient. In the storage battery, voltage and time at which the voltage is obtained are measured as one of sets of data. The sets of data measured at different times are input to the input layer and the operational condition of the storage battery is changed in accordance with a signal output from the output layer.

Abstract: Deterioration of a storage battery included in an electronic device is reduced. Power consumption of an electronic device is reduced. A power feeding device having excellent performance is provided. The power feeding device includes a power feeding coil, a control circuit, and a neural network and has a function of charging a storage battery with a wireless signal supplied by the power feeding coil. The control circuit has a function of estimating a remaining capacity value of the storage battery, the control circuit has a function of supplying the estimated remaining capacity value to the neural network, the neural network outputs a value corresponding to the supplied remaining capacity value to the control circuit, the control circuit determines a charge condition for the storage battery on the basis of the value output by the neural network, and the power feeding device has a function of charging the storage battery under the determined charge condition.

Abstract: The cost of hardware and the cost of calculation are reduced in the case where a plurality of assembled batteries are used. The amount of change in the voltage of each battery constituting an assembled battery is sequentially measured with a voltage monitor and abnormality is detected from the correlation between the amounts of changes in the voltages of batteries at the same period. Furthermore, abnormality is detected on the basis of the amounts of changes up to the previous step. Inference is made by a reference parameter acquisition system using an IIR filter or an FIR filter.

Abstract: The display defects of a display device are reduced. The display quality of the display device is improved. The display device includes a display panel and a first conductive layer. The display panel includes a display element including a pair of electrodes. An electrode of the pair of electrodes which is closer to one surface of the display panel is supplied with a constant potential. A constant potential is supplied to the first conductive layer. The second conductive layer provided on the other surface of the display panel is in contact with the first conductive layer, whereby the second conductive layer is also supplied with the constant potential. The second conductive layer includes a portion not fixed to the first conductive layer.

Abstract: The display defects of a display device are reduced. The display quality of the display device is improved. The display device includes a display panel and a first conductive layer. The display panel includes a display element including a pair of electrodes. An electrode of the pair of electrodes which is closer to one surface of the display panel is supplied with a constant potential. A constant potential is supplied to the first conductive layer. The second conductive layer provided on the other surface of the display panel is in contact with the first conductive layer, whereby the second conductive layer is also supplied with the constant potential. The second conductive layer includes a portion not fixed to the first conductive layer.

Abstract: A power storage system with excellent characteristics is provided. A power storage system with a high degree of safety is provided. A power storage system with less deterioration is provided. A storage battery with excellent characteristics is provided. The power storage system includes a neural network and a storage battery. The neural network includes an input layer, an output layer, and one or more hidden layers between the input layer and the output layer. The predetermined hidden layer is connected to the previous hidden layer or the previous input layer by a predetermined weight coefficient, and connected to the next hidden layer or the next output layer by a predetermined weight coefficient. In the storage battery, voltage and time at which the voltage is obtained are measured as one of sets of data. The sets of data measured at different times are input to the input layer and the operational condition of the storage battery is changed in accordance with a signal output from the output layer.

Abstract: A highly safe power storage system is provided. If n (n is an integer over or equal to three) secondary batteries are used in a vehicle such as an electric vehicle, a circuit configuration is used with which the condition of each secondary battery is monitored using an anomaly detection unit; and if an anomaly such as a micro-short circuit is detected, only the detected anomalous secondary battery is electrically separated from the charging system or the discharging system. At least one microcomputer monitors anomalies in n secondary batteries consecutively, selects the anomalous secondary battery or the detected secondary battery which causes an anomaly, and gives an instruction to bypass the secondary battery with each switch.

Abstract: A power storage system with excellent characteristics is provided. A power storage system with a high degree of safety is provided. A power storage system with less deterioration is provided. A storage battery with excellent characteristics is provided. The power storage system includes a neural network and a storage battery. The neural network includes an input layer, an output layer, and one or more hidden layers between the input layer and the output layer. The predetermined hidden layer is connected to the previous hidden layer or the previous input layer by a predetermined weight coefficient, and connected to the next hidden layer or the next output layer by a predetermined weight coefficient. In the storage battery, voltage and time at which the voltage is obtained are measured as one of sets of data. The sets of data measured at different times are input to the input layer and the operational condition of the storage battery is changed in accordance with a signal output from the output layer.

Abstract: A highly safe power storage system is provided. If n (n is an integer over or equal to three) secondary batteries are used in a vehicle such as an electric vehicle, a circuit configuration is used with which the condition of each secondary battery is monitored using an anomaly detection unit; and if an anomaly such as a micro-short circuit is detected, only the detected anomalous secondary battery is electrically separated from the charging system or the discharging system. At least one microcomputer monitors anomalies in n secondary batteries consecutively, selects the anomalous secondary battery or the detected secondary battery which causes an anomaly, and gives an instruction to bypass the secondary battery with each switch.

Abstract: Deterioration of a storage battery included in an electronic device is reduced. Power consumption of an electronic device is reduced. A power feeding device having excellent performance is provided. The power feeding device includes a power feeding coil, a control circuit, and a neural network and has a function of charging a storage battery with a wireless signal supplied by the power feeding coil. The control circuit has a function of estimating a remaining capacity value of the storage battery, the control circuit has a function of supplying the estimated remaining capacity value to the neural network, the neural network outputs a value corresponding to the supplied remaining capacity value to the control circuit, the control circuit determines a charge condition for the storage battery on the basis of the value output by the neural network, and the power feeding device has a function of charging the storage battery under the determined charge condition.

Abstract: It is difficult to know the remaining amount and the degradation state of a power storage device, and it is also difficult to estimate how long the power storage device can be used. Data obtained through midway discharge and mid-to-full charge is used as the learning data to calculate the degradation state and the capacity. In other words, the learning data includes both a discharge curve of midway discharge and a charge curve of mid-to-full charge, and neural network processing is performed with the use of the learned data.

Abstract: A display device that inhibits display deterioration is provided. The display device estimates the amount of deterioration of a pixel included in the display device and corrects a first image signal supplied to the pixel. The display device includes a display panel including a plurality of pixels, a frame memory, and an arithmetic portion. The pixels each include a light-emitting element and a transistor supplying a current to the light-emitting element. The arithmetic portion has a function of performing an arithmetic operation in accordance with a regression model. A forecast error parameter and an output parameter are set in the arithmetic portion. The arithmetic portion updates the forecast error parameter from a first observation signal supplied from the frame memory and a second observation signal supplied from the pixel, in accordance with the regression model, and updates an output parameter by the forecast error parameter in accordance with the regression model.

Abstract: It is difficult to know the remaining amount and the degradation state of a power storage device, and it is also difficult to estimate how long the power storage device can be used. Data obtained through midway discharge and mid-to-full charge is used as the learning data to calculate the degradation state and the capacity. In other words, the learning data includes both a discharge curve of midway discharge and a charge curve of mid-to-full charge, and neural network processing is performed with the use of the learned data.

Abstract: A novel stacked structure that is highly convenient or reliable is provided. A method for manufacturing a novel stacked structure that is highly convenient or reliable is also provided. Furthermore, a novel semiconductor device is provided. The stacked structure includes first to fifth regions in this order. Each of the first to fifth regions includes a first base and a second base. The first region, the third region, and the fifth region each include a spacer that makes a predetermined distance between the first base and the second base.

Abstract: Deterioration of a storage battery included in an electronic device is reduced. Power consumption of an electronic device is reduced. A power feeding device having excellent performance is provided. The power feeding device includes a power feeding coil, a control circuit, and a neural network and has a function of charging a storage battery with a wireless signal supplied by the power feeding coil. The control circuit has a function of estimating a remaining capacity value of the storage battery, the control circuit has a function of supplying the estimated remaining capacity value to the neural network, the neural network outputs a value corresponding to the supplied remaining capacity value to the control circuit, the control circuit determines a charge condition for the storage battery on the basis of the value output by the neural network, and the power feeding device has a function of charging the storage batten under the determined charge condition.

Abstract: An object is to predict a deterioration state of a secondary battery even in an environment where temperature and a charging voltage change. A lifetime estimation device of the secondary battery includes a measuring unit for measuring the capacity of the secondary battery in the full charging state; a temperature sensing unit for sensing the ambient temperature of the secondary battery; and a storage unit for storing a table of a proportional coefficient corresponding to temperature in advance, and a predicted deterioration line of the secondary battery is calculated with the use of a nonlinear regression equation approximated to a measured deterioration line obtained by the measuring unit. The lifetime estimation device may construct a lifetime estimation system with the use of a neural network.

Abstract: The safety is ensured in such a manner that an abnormality of a secondary battery is detected, for example, a phenomenon that lowers the safety of the secondary battery is detected early and a warning is given to a user. A first protection circuit and a second protection circuit are provided for one secondary battery. The first protection circuit includes a memory circuit including a transistor including an oxide semiconductor. Combination of a plurality of protection circuits enables a complementary double protection system in charging, and the safety can be further enhanced.

Abstract: An anomaly detection system for a secondary battery which detects the remaining capacity of the secondary battery on an electric vehicle, cautions against the secondary battery with anomalous characteristics, stops using the secondary battery, changes the secondary battery, or changes charging conditions of the secondary battery is provided. The anomaly detection system is provided; the system compares a value obtained by estimating internal resistance or SOC of a secondary battery based on the measured value of a current or a voltage of the secondary battery with the use of a nonlinear Kalman filter and a value input to an anomaly detection system (network) of AI to predict a change in the internal resistance; the system regards a case where the difference is large as an anomaly; and the system detects an anomaly.

Abstract: A power storage system having excellent characteristics is provided. A power storage system having high safety is provided. A power storage system with little degradation is provided. A storage battery having excellent characteristics is provided.

Abstract: The display defects of a display device are reduced. The display quality of the display device is improved. The display device includes a display panel and a first conductive layer. The display panel includes a display element including a pair of electrodes. An electrode of the pair of electrodes which is closer to one surface of the display panel is supplied with a constant potential. A constant potential is supplied to the first conductive layer. The second conductive layer provided on the other surface of the display panel is in contact with the first conductive layer, whereby the second conductive layer is also supplied with the constant potential. The second conductive layer includes a portion not fixed to the first conductive layer.