Toyota Jidosha Kabushiki Kaisha

Toyota Tsusho Corporation

Masato Ehara

Shunsuke Kobuna

Satoru Watanabe

Naohiro Seo

Akinori Osanai

Naohide Fuwa

Rentaro Kuroki

Masanobu Kanamaru

Takaharu Tateishi

Tatsuro Kiyohara

Masaaki Konishi

Yuki Takahashi

Daiki Yokoyama

Hiroki Murata

Eiki Kitagawa

Tomoya Takahashi

Wenfeng Liang

Zidan Xu

Yusuke Horii

Tomoyuki Kubota

Sachio Toyora

Keisuke Fukuoka

Harufumi Muto

Daisuke Kobayashi

Akinori Morishima

Akira Ohata

Satoshi Tanabe

Jyunichi Kako

Kazuhiro Shimizu

Nanae Takada

Ryota Soshino

A server includes a processor and a communication device configured to acquire a transmitted power amount transmitted from a power facility during external charging of a vehicle participating in a DR. The processor is configured to calculate, when a plurality of vehicles participates in the DR, a standard reward that is a standard of a reward given from an aggregator to each of the vehicles, according to the transmitted power amount, decide, when a first vehicle participates in the DR, a first reward that is a reward given from the aggregator to the first vehicle, such that the first reward becomes the standard reward for the first vehicle, and decide, when a second vehicle participates in the DR, a second reward that is a reward given from the aggregator to the second vehicle, such that the second reward becomes higher than the standard reward for the second vehicle.

Server

A power management system for managing at least one power generation system connected to an electrical grid and at least one energy storage device connected to the electrical grid, wherein the energy storage device is charged or discharged in a time period in which the reliability of the prediction of the amount of power generation and the power demand per time period is high based on a predicted amount of power generation which is an amount of power generation of the power generation system predicted for each time period and a predicted power demand which is a power demand for the electrical grid. Thus, more proper energy management can be performed.

Power management system

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.

Electric power management system, electric power management server, and electric power management method

A power management system includes a vehicle and a charging or discharging lane. The charging or discharging lane configured to execute at least one of charging or discharging of the vehicle in a non-contact manner. The vehicle is configured to acquire contract contents including a charging or discharging amount and a charging or discharging period. The vehicle is configured to execute the contract contents in a charging or discharging lane that is different from electric vehicle supply equipment set in the contract contents and is reachable before the charging or discharging period when the vehicle is predicted to, before a start of the charging or discharging period, be unable to execute the contract contents in the set electric vehicle supply equipment.

Power management system, vehicle, and management server

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.

Control system and power balancing method

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.

Charge and discharge control device

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.

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.

Control system

A control device for a virtual power plant that adjusts balance between supply and demand of electric power in a transmission and distribution network by controlling charging and discharging operations of storage batteries mounted on vehicles, includes: an estimation unit configured to estimate, based on past action patterns of the vehicles, possibilities of participation of the vehicles in the virtual power plant when a charging and discharging operation is requested; and a control unit configured to control charging and discharging operations of the storage batteries mounted on the vehicles based on the estimation result of the estimation unit.

Control device for estimating possibility of participation of vehicle in virtual power plant

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.

Electric power system, server, charge-and-discharge controller, and power demand-and-supply adjustment method

An information processing device includes a processor configured to: acquire renewable power generation information from a renewable energy power generation server; acquire at least one of hydrogen power generation information from a hydrogen power generation server and fuel cell information; acquire grid power generation information from a grid power generation server; acquire electric power information from each of a plurality of consumer facilities in a predetermined area, the electric power information being regarding an amount of electric power consumed by the consumer facility; and generate proposal information including information on a type of electric power supplied to a predetermined consumer facility based on at least one of the renewable power generation information, the hydrogen power generation information, and the fuel cell information, the grid power generation information, and a plurality of pieces of the electric power information, and output the proposal information to the predetermined consumer facility.

Information processing device, information processing system, and program for acquiring power generation information and generating proposal information including a type of electric power to be selected

A server manages plural vehicles each configured to be able to participate in a DR. A first vehicle is able to transmit power through a power cable. A second vehicle is able to transmit power in a non-contact manner while being stationary. A third vehicle is able to transmit power in a non-contact manner while traveling. The server includes a communication device and a processing device. The communication device is able to transmit a DR signal to each of the vehicles. The processing device selects a target vehicle, to which the DR signal is to be transmitted, from the vehicles in accordance with the priority degree for participation in the DR. The processing device sets the priority degree of the first vehicle to be higher than that of the second vehicle, and sets the priority degree of the second vehicle to be higher than that of the third vehicle.

Server and power management system

A control device of an internal combustion engine using a neural network, wherein an output value obtained by experiments is made training data for a value of an operating parameter of the engine in a presumed usable range, while an output value obtained by prediction without relying on experiments is made training data for a value of the operating parameter of the engine outside of the presumed usable range. The training data obtained by experiments and the training data obtained by prediction are used to learn the weights and the biases of the neural network so that an output value which changes in accordance with a value of an operating parameter of the engine matches the training data, and thereby even outside of the presumed usable range of the operating parameter, the output value can be suitably estimated.

Control device of internal combustion engine

A machine learning system using a neural network to output an output value corresponding to values of operating parameters of the machine. When the value of an operating parameter of a machine is outside a preset range, the number of nodes of the hidden layer one layer before the output layer of the neural network is increased and training data obtained by actual measurement for a newly acquired value of an operating parameter of the machine is used to learn the weights of the neural network so that the difference between the output value changing in accordance with the values of the operating parameters of the machine and training data corresponding to the values of the operating parameters of the machine becomes smaller.

Machine learning system

A control device of an internal combustion engine using a neural network. When a value of an operating parameter of the engine is outside a preset range, the number of nodes of a hidden layer one layer before an output layer of the neural network is increased and training data obtained by actual measurement with respect to a newly acquired value of an operating parameter of the engine is used to learn a weight of the neural network so that a difference between the output value changing corresponding to the value of the operating parameter of the engine and training data corresponding to the value of the operating parameter of the engine becomes smaller.

Growing community of inventors

Susono, Japan

Masato Ehara