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US 12,031,497 B2Granted
System and method for a virtual turbocharger speed sensor using neural networks
AssigneeVolvo Truck Corporation
InventorsIron Tessaro, Samuel Giatti
Life of this patent
Estimating the term…
Abstract
Systems, methods, and computer-readable storage media for emulating a turbocharger speed sensor of a turbocharger in an engine. A processor executing the method can receive data from a plurality of sensors in the engine, wherein the data includes: an exhaust manifold pressure of the engine; an exhaust mass flow of the engine; and an injection angle of fuel in the engine. The processor enters the data as inputs into an artificial neural network, where the artificial neural network is trained to receive the inputs and output a speed of the turbocharger of the engine, then receives an output from the artificial neural network which is the speed of the turbocharger.
Claims27
A method for emulating a turbocharger speed sensor of a turbocharger in an engine, the method comprising:
- receiving, at a processor, data from a plurality of sensors in the engine, wherein the data comprises:
- an exhaust manifold pressure of the engine;
- an exhaust mass flow of the engine;
- and
- an injection angle of fuel in the engine;
- entering, via the processor, the data as inputs into an artificial neural network;
- receiving, at the processor, the speed of the turbocharger from the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifying a rate of speed of cylinders in the engine based on the speed of the turbocharger.
6 more elements
A system comprising:
- an engine with a turbocharger;
- an exhaust manifold pressure sensor which detects exhaust manifold pressure of the engine;
- an exhaust mass flow sensor which detects exhaust mass flow of the engine;
- an injection angle sensor which detects a fuel injection angle of the engine;
- and
- a processor which:
- receives, as inputs:
- the exhaust manifold pressure from the exhaust manifold pressure sensor;
- the exhaust mass flow from the exhaust mass flow sensor;
- and
- the fuel injection angle from the injection angle sensor;
- enters inputs into an artificial neural network;
- determines a speed of the turbocharger using the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifies a rate of speed of cylinders in the engine based on the speed of the turbocharger.
12 more elements
A vehicle comprising:
- an engine with a turbocharger;
- an exhaust manifold pressure sensor which detects exhaust manifold pressure of the engine;
- an exhaust mass flow sensor which detects exhaust mass flow of the engine;
- an injection angle sensor which detects a fuel injection angle of the engine;
- and a processor which:
- receives, as inputs:
- the exhaust manifold pressure from the exhaust manifold pressure sensor;
- the exhaust mass flow from the exhaust mass flow sensor;
- and
- the fuel injection angle from the injection angle sensor;
- enters inputs into an artificial neural network;
- determines a speed of the turbocharger using the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifies a rate of speed of cylinders in the engine based on the speed of the turbocharger.
11 more elements
A method for emulating a turbocharger speed sensor of a turbocharger in an engine, the method comprising:
- receiving, at a processor, data from a plurality of sensors in the engine;
- entering, via the processor, the data as inputs into an artificial neural network;
- and
- receiving, at the processor, the speed of the turbocharger from the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifying a rate of speed of cylinders in the engine based on the speed of the turbocharger.
3 more elements
A vehicle comprising:
- an engine with a turbocharger;
- an exhaust manifold pressure sensor which detects exhaust manifold pressure of the engine;
- and
- a processor which:
- receives, as input, the exhaust manifold pressure from the exhaust manifold pressure sensor;
- enters the input into an artificial neural network;
- determines a speed of the turbocharger using the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifies a rate of speed of cylinders in the engine based on the speed of the turbocharger.
6 more elements
A vehicle comprising:
- an engine with a turbocharger;
- an exhaust mass flow sensor which detects exhaust mass flow of the engine;
- and a processor which:
- receives, as input, the exhaust mass flow from the exhaust mass flow sensor;
- enters the input into an artificial neural network;
- determines a speed of the turbocharger using the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifies a rate of speed of cylinders in the engine based on the speed of the turbocharger.
5 more elements
A vehicle comprising:
- an engine with a turbocharger;
- an injection angle sensor which detects a fuel injection angle of the engine;
- and a processor which:
- receives, as input, the fuel injection angle from the injection angle sensor;
- enters the input into an artificial neural network;
- determines a speed of the turbocharger using the artificial neural network, wherein the artificial neural network is trained to receive the inputs and output the speed of the turbocharger;
- and
- modifies a rate of speed of cylinders in the engine based on the speed of the turbocharger.
5 more elements
Dependencies are inferred from the claim text.