Abstract: A power management system includes a vehicle, a charge and discharge apparatus including a cable and a connector, and a command device. The vehicle includes an inlet, a lock device, an electrical storage device, and a controller. The command device, just before an exchange of electric power with the vehicle is started, sends a lock command to the controller to cause the lock device to lock the connector such that the connector does not come off from the inlet. The controller controls the lock device such that the connector is locked upon receiving the lock command and sends a completion signal to the command device upon confirming that the connector is locked. The command device, when not receiving the completion signal after sending the lock command, resends the lock command, and, when, after resending the lock command, failing to confirm that the connector is locked, stops resending the lock command.

Abstract: A vehicle includes an inlet, a main battery, an auxiliary battery, and a communication device. The main battery is charged with electric power received by the inlet. The auxiliary battery is chargeable with electric power of the main battery. The communication device communicates with power equipment by using electric power of the auxiliary battery. The main battery is charged with minute electric power in a case where the vehicle does not participate in demand response and the SOC of the main battery is lower than a threshold value when the inlet is connected to the power equipment.

Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server limits the exchange of the electric power between the electric power system and the battery by an upper limit value or a lower limit value of a state of charge of the battery, and changes the upper limit value or the lower limit value in accordance with a degree of charge-discharge of the battery.

Abstract: An electric power management system includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of electric power between the battery and an electric power system of an electric power company. The server detects a predetermined operation of a user that correlates with termination of the exchange of the electric power between the battery and the electric power system. When the predetermined operation is detected, the server calculates an estimated time when the exchange of the electric power between the battery and the electric power system is terminated, and executes a process of distributing the electric power to be exchanged by the vehicle in which the exchange of the electric power with the electric power system is estimated to be terminated at the calculated estimated time to another vehicle that performs the exchange of the electric power with the electric power system.

Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server limits the exchange of the electric power between the electric power system and the battery by an upper limit value or a lower limit value of a state of charge of the battery, and decreases the upper limit value or increases the lower limit value when a period during which the vehicle is continuously parked in a place where the vehicle can exchange the electric power is equal to or longer than a predetermined period.

Abstract: A control system includes a computer that controls each of multiple power balancing resources. The computer selects one or more control targets to be used for power balancing of an external electric power source from the power balancing resources, and controls each of the one or more control targets so as to cause the power storage device to charge or discharge for the power balancing. The computer preferentially selects the power balancing resource provided with a small-capacity power storage device as the control target for the power balancing of which duration is shorter than a predetermined time, and preferentially selects the power balancing resource provided with a large-capacity power storage device as the control target for the power balancing of which the duration is longer than the predetermined time.

Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server manages the exchange of the electric power for each vehicle group in which the vehicles are bundled, and configures the vehicle groups in advance such that distributions of the electric power supply and demand characteristics of the batteries of the vehicles included in the vehicle groups are the same or similar.

Abstract: An electric power management system is a system that performs an exchange of electric power with an electric power system of an electric power company that is a counterparty of the exchange of the electric power, and includes a plurality of the vehicles, each including a battery, and a server that manages an exchange of the electric power between the battery of each of the vehicles and the electric power system. The server manages the exchange of the electric power for each vehicle group in which the vehicles are bundled, and configures the vehicle group in advance by bundling the vehicles having the same or similar electric power supply and demand characteristics of the battery.

Abstract: A control system includes a computer configured to remotely control at least one of charging and discharging of a power storage device mounted on a control target. The computer is configured to transmit a first command indicating charging power or discharging power of the power storage device to the control target via each of a first communication path and a second communication path. The control system further includes a determination unit configured to determine whether or not any one of the first communication path and the second communication path is under a cyberattack by using a second command received by the control target via the first communication path when the computer transmits the first command, and a third command received by the control target via the second communication path when the computer transmits the first command.

Abstract: A power adjustment system adjusts charging and discharging power of a plurality of electrified vehicles in a virtual power plant that uses the electrified vehicles as energy resources. The power adjustment system includes: a first processor configured to manage charging and discharging of the electrified vehicles based on vehicle information of each individual electrified vehicle included in the electrified vehicles; and a second processor configured to control charging and discharging between the electrified vehicles and a plurality of chargers and dischargers connected to a power distribution grid based on charge and discharge information supplied from the first processor. The charge and discharge information is generated based on the vehicle information of the each individual electrified vehicle, and includes a charge and discharge constraint of an electrified vehicle group composed of the electrified vehicles and a charge and discharge constraint of the each individual electrified vehicle.

Abstract: A machine learning system comprises a learning planning part 81 configured to create a learning plan of a neural network model, a data set creating part 82 configured to create training data sets, a learning part 83 configured to perform learning of the neural network model using the training data sets when the vehicle is stopped, and a stopping period predicting part 84 configured to predict stopping periods of the vehicle. The data set creating part is configured to allocate the training data sets to a plurality of learning regions determined based on respective ranges of the plurality of input parameters. The learning part is configured to perform learning of the neural network model for each learning region. The learning planning part is configured to allocate the plurality of learning regions to the stopping periods so that learning of the neural network model is not suspended during the stopping periods.

Abstract: A control device mounted in a vehicle in which at least one controlled part is controlled based on an output parameter obtained by inputting input parameters to a learned model using a neural network, provided with a parked period predicting part predicting future parked periods of the vehicle and a learning plan preparing part preparing a learning plan for performing relearning of the learned model during the future parked periods based on results of prediction of the future parked periods.

Abstract: A charge and discharge control device includes a controller configured to: predict, for each of vehicles included in a vehicle group, a remaining capacity of a storage battery mounted on each of the vehicles within a future predetermined period using a behavior prediction model that predicts behavior of each of the vehicle; optimize, for each vehicle, an instruction value of a charge and discharge power amount of the storage battery within the predetermined period such that an accumulation value of the charge and discharge power amounts follows a demand value for the vehicle group while minimizing a degradation amount of the storage battery using the predicted remaining capacities of the storage batteries and a battery degradation prediction model that predicts the degradation amount of the storage battery from the remaining capacity; and control a charging and discharging operation of the storage battery according to the optimized instruction value.

Abstract: An electric power system includes a plurality of power adjustment resources electrically connectable to a power grid, and a management device configured to manage the power adjustment resources. The management device is configured to acquire a first request signal for requesting demand-and-supply adjustment in the power grid, and a second request signal for requesting the power adjustment resources to adjust electric energy in a predetermined period, transmit a power command signal indicating a command power value for each predetermined interval in the predetermined period to a predetermined power adjustment resource included in the power adjustment resources, and generate the power command signal to respond to both requests of the first request signal and the second request signal.

Abstract: A method for model creation for a power distribution network, includes: an acquisition step of acquiring, when rechargeable batteries mounted on a plurality of vehicles are in electrical connection with a plurality of different charge/discharge points of a power distribution network, charge/discharge amounts at the plurality of charge/discharge points upon charging/discharging of the rechargeable batteries and measurement results indicating values about power at a plurality of different measurement points of the power distribution network; and a model creation step of creating an electrical characteristic model for the power distribution network, based on the acquired charge/discharge amounts and measurement results.

Abstract: A machine learning system comprises a learning planning part 81 configured to create a learning plan of a neural network model, a data set creating part 82 configured to create training data sets, a learning part 83 configured to perform learning of the neural network model using the training data sets when the vehicle is stopped, and a stopping period predicting part 84 configured to predict stopping periods of the vehicle. The data set creating part is configured to allocate the training data sets to a plurality of learning regions determined based on respective ranges of the plurality of input parameters. The learning part is configured to perform learning of the neural network model for each learning region. The learning planning part is configured to allocate the plurality of learning regions to the stopping periods so that learning of the neural network model is not suspended during the stopping periods.

Abstract: A control device mounted in a vehicle in which at least one controlled part is controlled based on an output parameter obtained by inputting input parameters to a learned model using a neural network, provided with a parked period predicting part predicting future parked periods of the vehicle and a learning plan preparing part preparing a learning plan for performing relearning of the learned model during the future parked periods based on results of prediction of the future parked periods.