Honda Motor Co., Ltd.

Honda Giken Kogyo Kabushiki Kaisha

Minoru Uoshima

Tomoki Kobayashi

Chihiro Wake

Kenichiro Ueda

Yasunori Kotani

Shigeru Inai

Masanori Hayashi

Shigeru Namiki

Hideo Kato

Yuji Matsumoto

Katsumi Hayashi

Junji Uehara

Yoshio Hosono

Yoshikazu Murakami

Ryo Jinba

Makoto Nishigaki

Koichiro Miyata

Shuhei Goto

Manabu Tanaka

Hiromichi Yoshida

Nobutaka Nakajima

Jumpei Ogawa

Hikaru Okada

Yuichiro Kosaka

Minoru Koshinuma

Nobuyuki Matsumoto

Yuya Sato

Seiji Tonegawa

A state estimation method includes a first step of preparing a plurality of first estimation models estimating a state of an object to be monitored based on a state variable measured with respect to the state of the object to be monitored, a second step of preparing a second estimation model estimating, from among the plurality of first estimation models, which one of the first estimation models estimates the state of the object to be monitored with the highest accuracy based on the state variable measured with respect to the object to be monitored or a state variable measured with respect to a utilization device that runs by using the object to be monitored, and a third step of outputting a result of estimation of the state of the object to be monitored of the one first estimation model estimated by the second estimation model.

State estimation method and state estimation system

A learning method of an open circuit voltage estimation model includes training the open circuit voltage estimation model to learn a relationship of the open circuit voltage estimation input data obtained by preprocessing terminal currents and terminal voltages of a secondary battery with an open circuit voltage of the secondary battery. The open circuit voltage estimation input data includes time-series data of: the terminal currents; the terminal voltages; and difference gradients of terminal voltage differences with respect to terminal current differences.

Learning method and open circuit voltage estimation method of open circuit voltage estimation model of secondary battery, and state estimation method of secondary battery

A learning method of a state estimation model includes training the state estimation model to learn a relationship of state estimation input data obtained by preprocessing terminal currents and terminal voltages of a secondary battery with a charge rate or a deterioration degree of the secondary battery. The state estimation input data includes time-series data of: difference gradients of terminal voltage differences with respect to terminal current differences; open circuit voltages; open circuit voltage change amounts; and integrated current values of the terminal currents.

Learning method, state estimation method, and state estimation device for state estimation model of secondary battery

A state estimation system includes a first processor, and the first processor executes: a first state variable measurement process of measuring a first state variable of a monitored object; a second state variable estimation repetition process of repeating a second state variable estimation process of inputting a measurement value of the first state variable into a learned model and acquiring an estimate value of a second state variable outputted from the learned model; and an estimation accuracy decline information output process of outputting estimation accuracy decline information when a predetermined estimate value sudden change determination condition is met with respect to a first estimate value of the second state variable acquired in response to input of a first measurement value of the first state variable.

State estimation system, relay device, state estimation method, learned model generation method, and recording medium

A learning method of a state estimation model of a secondary battery includes training the state estimation model to learn a relationship of a state estimation input data preprocessed from state variables including measured terminal currents and terminal voltages of the secondary battery with a charge rate or a deterioration degree of the secondary battery. The state estimation input data includes time-series data of difference gradients, which is a change rate of the differences of the terminal voltages with respect to the differences of the terminal currents.

A management device includes an information acquirer configured to acquire battery information on a usage state of a secondary battery mounted in a vehicle and information on a user from the vehicle, a first feature deriver configured to derive a first feature indicating a state of the secondary battery based on a result obtained by applying the battery information to a battery state detection model that identifies the state of the secondary battery, a second feature deriver configured to derive a second feature indicating characteristics of the user based on the information on the user, and a selector configured to select a battery suitable for the user based on a result obtained by inputting the first feature and the second feature to a matching model that outputs a result showing compatibility between the user and a battery based on the first feature and the second feature.

Management device, management method, and program

A management apparatus includes an acquisition unit configured to acquire battery information regarding a secondary battery mounted on a vehicle and vehicle information regarding traveling of the vehicle from the vehicle, a first identification unit configured to identify a state of the secondary battery by applying the battery information to a battery state identification model for identifying the state of the secondary battery, a second identification unit configured to identify a state of the vehicle by applying the vehicle information to a vehicle state identification model for identifying the state of the vehicle, and a control unit configured to control transmission and reception of electric power between an electric power system and the secondary battery on the basis of the state of the secondary battery identified by the first identification unit and the state of the vehicle identified by the second identification unit.

Management apparatus, management method, and program

A management apparatus includes an acquirer configured to acquire vehicle usage state information about a usage state of a vehicle, and a processing unit configured to apply the vehicle usage state information to a model which outputs feature amounts when vehicle usage information is input thereto to acquire the feature amounts, to select a secondary battery recommended to be mounted in the vehicle for which the vehicle usage state information is acquired from secondary batteries providable as the secondary battery to be mounted in the vehicle and storing electric power for travel on the basis of the acquired feature amounts, and to present the selected secondary battery.

A start-up method for a fuel cell system that includes a fuel cell that carries out power generation by the electrochemical reaction between a fuel gas and the oxygen gas in the air; a fuel gas discharge path and a fuel gas supply path that are connected to the fuel cell; a fuel gas circulation path in which the fuel gas discharge path merges with the fuel gas supply path; and a purge valve provided on the fuel gas circulation path in order to discharge the circulating fuel gas from the fuel gas circulation path. The method includes the steps of opening the purge valve at the same time that the fuel gas is supplied to the fuel cell and replacing the nitrogen gas that originates in the air and is present in the fuel gas circulation path by fuel gas; and closing the purge valve after the nitrogen gas in the fuel gas circulation path has been replaced by the fuel gas.

Start-up method for fuel cell

Upon stop of electric power generation of a fuel cell a hydrogen shutoff valve is closed, and a cathode is purged. At the same time, an air introducing valve and the purge valve are opened. The air taken in by the compressor is introduced into the anode through the air introducing tube to exhaust the hydrogen remaining in the anode to replace the hydrogen with the air. When the replacement of the hydrogen with the air has been finished, the compressor is turned off and the air introducing valve and the purge valve are opened. After that, if a temperature of the fuel cell is determined to be equal to or lower than a threshold 'a', a cathode-prioritized purge and an anode-prioritized purging are performed.

Fuel cell system with purging and method of operating the same

A stop method for a fuel cell system that includes a fuel cell unit in which hydrogen is supplied to an anode, and air is supplied to a cathode so as to generate electrical power via an electrochemical reaction. The stop method includes the steps of stopping supply of hydrogen to the anode, and supplying air to the anode so as to discharge water remaining at the anode.

Stop method for fuel cell system

A fuel cell system enables time required for purging to be reduced without a major increase in discharge gas concentration at a time of purging. It comprises a fuel cell; a fuel gas supply path for supplying the fuel gas to an anode; an oxidizing gas supply path for supplying an oxidizing gas to a cathode; a fuel gas circulating path for returning an unreacted fuel gas to an anode inlet side; a dilution box for diluting the fuel gas by the oxidizing gas and for discharging it to outside; and a fuel gas discharge path connecting the fuel gas circulating path and a dilution box discharge gas inlet. A drain valve, a purge valve and an air discharge valve are provided, opening areas of which are different from one another. The drain valve with a smallest opening area is initially opened.

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Utsunomiya, Japan

Minoru Uoshima