Prediction, planning, and optimization of trip time, trip cost, and/or pollutant emission for a vehicle using machine learning
First Claim
1. A method for producing a real-time output based on at least one constraint and a relationship among vehicle speed, at least one engine or vessel parameter that indicates or influences propulsion, and at least one of directly measured operating condition or indirectly measured operating condition, comprising:
- monitoring vehicle speed and fuel consumption rate of a vehicle over an engine speed range of at least one engine of the vehicle;
generating a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, based on the monitoring;
receiving at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated emissions;
automatically producing by at least one automated processor, based on the predictive model, and the received at least one constraint, an output constraint; and
determining a failure of the predictive model.
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Accused Products
Abstract
A method of predicting, in real-time, a relationship between a vehicle'"'"'s engine speed, trip time, cost, and fuel consumption, comprising: monitoring vehicle operation over time to acquiring data representing at least a vehicle location, a fuel consumption rate, and operating conditions; generating a predictive model relating the vehicle'"'"'s engine speed, trip time, and fuel consumption; and receiving at least one constraint on the vehicle'"'"'s engine speed, trip time, and fuel consumption, and automatically producing from at least one automated processor, based on the predictive model, a constrained output.
347 Citations
28 Claims
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1. A method for producing a real-time output based on at least one constraint and a relationship among vehicle speed, at least one engine or vessel parameter that indicates or influences propulsion, and at least one of directly measured operating condition or indirectly measured operating condition, comprising:
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monitoring vehicle speed and fuel consumption rate of a vehicle over an engine speed range of at least one engine of the vehicle; generating a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, based on the monitoring; receiving at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated emissions; automatically producing by at least one automated processor, based on the predictive model, and the received at least one constraint, an output constraint; and determining a failure of the predictive model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 28)
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9. A method for producing a real-time output based on at least one constraint and a relationship among vehicle speed, at least one engine or vessel parameter that indicates or influences propulsion, and at least one of directly measured operating condition or indirectly measured operating condition, comprising:
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monitoring vehicle speed and fuel consumption rate of a vehicle over an engine speed range of at least one engine of the vehicle; generating a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, based on the monitoring; receiving at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated emissions; automatically producing by at least one automated processor, based on the predictive model, and the received at least one constraint, an output constraint; and performing at least one of; monitoring at least one of wind speed or water current speed along an axis of motion of the vehicle during the monitoring, or generating the predictive model further based on at least one of forecast wind condition or forecast water condition. - View Dependent Claims (10, 11, 12, 13, 14)
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15. A control system for a vehicle, comprising:
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a first input configured to receive information for monitoring at least a vehicle speed and a fuel consumption rate of the vehicle over an engine speed range of at least one engine of the vehicle; a second input configured to receive at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated pollutant emissions; a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, generated based on the monitoring; and at least one automated processor configured to fa) automatically produce, based on the predictive model, and the received at least one constraint, an output constraint, and (b) determine a failure of the predictive model. - View Dependent Claims (16, 17, 18, 19, 20, 21)
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22. A control system for a vehicle, comprising:
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a first input configured to receive information for monitoring at least a vehicle speed and a fuel consumption rate of the vehicle over an engine speed range of at least one engine of the vehicle; a second input configured to receive at least one constraint on at least one of a trip time, trip fuel consumption, vehicle speed, fuel consumption rate, and estimated pollutant emissions; a predictive model relating the vehicle'"'"'s engine speed, vehicle speed, and fuel consumption rate, generated based on the monitoring; and at least one automated processor configured to automatically produce, based on the predictive model, and the received at least one constraint, an output constraint, wherein the output constraint is adaptive with respect to at least one of a wind condition or water condition. - View Dependent Claims (23, 24, 25, 26, 27)
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Specification