Back to results
US 2025/0059925 A1Published application
Camless reciprocating engine control system
AssigneeAdaptive Camless Technology, LLC
InventorsPeter Sinsheimer, Isak Bosman
Life of this patent
Estimating the term…
Abstract
Systems and methods are provided for a camless reciprocating engine control system that uses laser absorption spectroscopy (LAS) sensors and artificial intelligence/machine learning to optimize engine operation. The control system evaluates LAS data in real time or substantially real time to optimize the operation of the engine through dynamic management of camless engine components such as intake valves, exhaust valves, fuel injectors, spark plugs, and variable compression mechanisms.
Claims20
A camless reciprocating engine comprising:
- a cylinder housing a reciprocating piston;
- an engine component associated with the cylinder, wherein the engine component is selected from a group consisting of:
- an intake valve, an exhaust valve, a spark plug, a fuel injector, and a variable compression mechanism;
- an actuator coupled to the engine component, wherein the actuator is configured to control operation of the engine component;
- an optical sensor configured to generate sensor data regarding an attribute of cylinder operation;
- and
- a controller coupled to the optical sensor and actuator, wherein the controller is configured to:
- receive the sensor data from the optical sensor;
- process the sensor data using a neural network trained to generate actuator command data associated with a desired optimization of engine operation;
- and
- initiate actuation of the actuator based at least partly on the actuator command data.
8 more elements
A system comprising:
- computer-readable memory storing executable instructions;
- and
- one or more computer processors in communication with the computer-readable memory and programmed by the executable instructions to at least:
- obtain training data comprising a plurality of training data input vectors and a plurality of reference data output vectors, wherein a training data input vector of the plurality of training data input vectors represents sensor data regarding an attribute of operation of a camless engine, and wherein a reference data output vector of the plurality of reference data output vectors represents actuator command data to be generated by a machine learning model from the training data input vector;
- train the machine learning model using the training data and an objective function, wherein the objective function is associated with optimization of an engine function;
- and
- provide the machine learning model that has been trained to one or more camless engines.
4 more elements
Dependencies are inferred from the claim text.