Toyota Jidosha Kabushiki Kaisha

Keisuke Fukuoka

Daiki Yokoyama

Yuki Takahashi

Hiroki Murata

Masato Ehara

Tomoyuki Kubota

Tomoya Takahashi

Sachio Toyora

Wenfeng Liang

Zidan Xu

Hiroshi Sawada

Daisuke Shibata

Eiki Kitagawa

Shunsuke Kobuna

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 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 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 machine learning system comprises a learning planning partconfigured to create a learning plan of a neural network model, a data set creating partconfigured to create training data sets, a learning partconfigured to perform learning of the neural network model using the training data sets when the vehicle is stopped, and a stopping period predicting partconfigured 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.

Machine learning system

An object of the present invention is to provide a technology that enables detection of a fault of a PM trapper with improved accuracy. In the present invention, a pressure sensorthat measures a differential pressure across a PM trapperis provided, and a fault of a PM trapper is determined based on an amount of change in the differential pressure across the PM trapperbetween two different operation states of an internal combustion enginein which the ambient temperature around the pressure sensorfalls within a specific temperature range. Since variations in the offset error of the differential pressure sensorcaused by changes in the ambient temperature around the differential pressure sensoris made small, the amount of change in the differential pressure across the PM trappercan be measured more accurately, and a fault of the PM trappercan be detected with improved accuracy.

Fault detection system for PM trapper

An object of the invention is to realize a method of determining an abnormality in a particulate filter () capable of trapping and oxidizing particulate matter contained in exhaust gas in which even a minor abnormality in which small quantity of particulate matter can pass through the particulate filter () can be determined with a high degree of accuracy. To achieve this object, the abnormality determination method according to the invention, the transition of the inflowing exhaust gas temperature in and the outflowing exhaust gas temperature out of the particulate filter () during deceleration operating, and the degree of decrease in the outflowing exhaust gas temperature relative to the inflowing exhaust gas temperature is computed based on the transition. If the degree of decrease exceeds a threshold value, it is determined that the particulate filter () is abnormal.

Growing community of inventors

Shizuoka, Japan

Keisuke Fukuoka