Method for calibrating exhaust gas probes and fuel dosing devices in a hybrid vehicle
US-9211787-B2 · Dec 15, 2015 · US
US2020132011A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2020132011-A1 |
| Application number | US-201916658160-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 21, 2019 |
| Priority date | Oct 25, 2018 |
| Publication date | Apr 30, 2020 |
| Grant date | — |
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A control support device for supporting control of a vehicle using a learned model obtained by machine learning, includes: a data acquisition unit acquiring sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit generating a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit Transmitting at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter.
Opening claim text (preview).
What is claimed is: 1 . A control support device for supporting control of a vehicle using a learned model obtained by machine learning, the control support device comprising: a data acquisition unit configured to acquire sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit configured to generate a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit configured to transmit at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter. 2 . A control support device for supporting control of a vehicle using a learned model obtained by machine learning, the control support device comprising: a data acquisition unit configured to acquire sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies a parameter used for the machine learning; a learning unit configured to generate a plurality of learned models by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit from a plurality of the supplying vehicles and is data including input parameters and an output parameter of the learned model; a selection unit configured to select a learned model to be transmitted to the vehicle, control of which is supported, from among the plurality of learned models; and a transmission unit configured to transmit the selected learned model to the vehicle. 3 . A control support device for supporting control of a vehicle using a learned model obtained by machine learning, the control support device comprising: a data acquisition unit configured to acquire sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit configured to generate a plurality of learned models by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit from a plurality of the supplying vehicles and is data including input parameters and an output parameter of the learned model; a selection unit configured to select a learned model from among the plurality of learned models; a prediction unit configured to calculate an output parameter, which is obtained by inputting sensor information of the vehicle, control of which is supported, to the selected learned model as input parameters; and a transmission unit configured to transmit the calculated output parameter to the vehicle. 4 . The control support device according to claim 2 , wherein the data acquisition unit is configured to further acquire travel history information of the supplying vehicle associated with the sensor information, the learning unit is configured to associate the generated learned model with the travel history information, and the selection unit is configured to select a learned model, which is associated with travel history information having a high degree of coincidence with travel history information of the vehicle, from among a plurality of the generated learned models. 5 . A control support device communicating with a server storing a learned model obtained by machine learning, the control support device supporting control of a vehicle using the learned model, the control support device comprising: a data acquisition unit configured to acquire sensor information, which is related to a state of an inside or an outside of a supplying vehicle, the data acquisition unit being mounted on the supplying vehicle that obtains parameters to be used for the machine learning; a learning unit configured to generate a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit configured to transmit the generated learned model to the server. 6 . The control support device according to claim 5 , wherein the server is configured to transmit, to the vehicle, an output parameter obtained by inputting sensor information of the vehicle, control of which is supported, as an input parameter, to a learned model retrieved or generated from a plurality of learned models each received from a plurality of the control support devices. 7 . The control support device according to claim 5 , wherein the server comprises: a server selection unit configured to select a learned model from a plurality of learned models, which are obtained by accumulating, merging, or updating a plurality of learned models each received from a plurality of the control support devices; a server prediction unit configured to calculate an output parameter obtained by inputting sensor information of the vehicle, control of which is supported, to the selected learned model as an input parameter; and a server communication unit configured to transmit the output parameter to the vehicle. 8 . The control support device according to claim 7 , wherein the server is configured to further receive travel history information, which is associated with the learned model in the supplying vehicle, and travel history information of the vehicle, and the server selection unit is configured to select a learned model, which is associated with travel history information having a high degree of coincidence with the travel history information of the vehicle, from among the plurality of learned models, which are obtained by accumulation, merging, or updating. 9 . The control support device according to claim 5 , further comprising: a charge processing unit configured to execute processing of calculating a consideration for support of the control for a user of the vehicle, processing of calculating a reward for provision of the sensor information for a user of the supplying vehicle, and processing of outputting the calculated results. 10 . The control support device according to claim 5 , wherein the sensor information includes at least one type of information selected from information of a maximum in-catalyst oxygen storage amount, information of a travel distance, information of an average speed, and information of an average acceleration in the vehicle, and the output parameter is a catalyst warm-up retardation amount, an SOC value for starting output-constant operation, or a catalyst bed temperature for executing increase control of fuel. 11 . A vehicle comprising a vehicle control device communicating with a server which stores a learned model obtained by machine learning, wherein the server comprises: a server storage unit configured to store the learned model, which is generated by the machine learning, which is performed by using sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning as an input/output data set, which is data including input parameters and an output parameter of the learned model; and a server communication unit configured to transmit at least one of the generated learned model and an output parameter, which is calculated by input of sensor information of the vehicle as an input parameter to
Characteristics of sensors · CPC title
characterised by the learning conditions · CPC title
Learning methods · CPC title
including control of combustion engines · CPC title
by learning a value and then controlling another value · CPC title
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