Abstract: An energy-management system of a train performs real-time assessment of operating parameters of the train and characteristics of a route using machine-learning algorithms. A consist management module within the energy-management system evaluates predictions of future performance by the train when different numbers of locomotives within a consist are inactive. Calculating and comparing operating benefits obtained from the predictions with respect to an upcoming distance, the consist management module identifies a number of locomotives to place in an isolation mode to provide efficient operation of the train. The number identified is provided to a driving strategy module for consideration in maneuvering the train over the upcoming distance.

Abstract: A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

Abstract: A train control system minimizes in-train forces in a train with a hybrid consist including a diesel-electric locomotive and a battery electric locomotive. The train control system includes a virtual in-train forces modeling engine configured to simulate in-train forces and train operational characteristics using physics-based equations, kinematic or dynamic modeling of behavior of the train or components of the train when the train is accelerating, and inputs derived from stored historical contextual data characteristic of the train, and a virtual in-train forces model database configured to store in-train forces models. Each of the in-train forces models includes a mapping between combinations of the stored historical contextual data and corresponding simulated in-train forces and train operational characteristics that occur when the consist is changing speed. An energy management system determines an easing function of tractive effort vs.

Abstract: A system includes one or more processors and memory coupled to the one or more processors, storing processor-executable instructions that cause the one or processors to perform operations. The operations include, prior to a train departing from a departure location: generating, one or more train departure strategies for a segment of a trip for the train traveling on a track from the departure location where the train is stationary, displaying information associated with the segment of the track, playing a simulation of the train traveling on the track over the segment based on the one or more train departure strategies, the simulation beginning from when the train is stationary at the departure location; receiving a selection of a train departure strategy, and engaging the selected train departure strategy for operating the train from the departure location where the train is stationary.

Abstract: A train control system minimizes in-train forces in a train with a hybrid consist including a diesel-electric locomotive and a battery electric locomotive. The train control system includes a virtual in-train forces modeling engine configured to simulate in-train forces and train operational characteristics using physics-based equations, kinematic or dynamic modeling of behavior of the train or components of the train when the train is accelerating, and inputs derived from stored historical contextual data characteristic of the train, and a virtual in-train forces model database configured to store in-train forces models. Each of the in-train forces models includes a mapping between combinations of the stored historical contextual data and corresponding simulated in-train forces and train operational characteristics that occur when the consist is changing speed. An energy management system determines an easing function of tractive effort vs.

Abstract: A method of controlling one or more locomotives in a train includes using a machine learning engine and a virtual system modeling engine to model and classify sections of track along which the train is traveling according to the tractive power needs for the train traversing each section of track as a function of an effective weight profile for the train in the section and an effective friction profile for the train in the section of track. The method includes using the results of the effective weight profile, the effective friction profile, and an effective power availability profile to train the virtual system modeling engine using the machine learning engine to model designated areas of the track where the total tractive effort force or dynamic braking force applied by all of the locomotives in the train is less than a tractive effort force or dynamic braking force, respectively, that can be provided by a subset of the available locomotives in the train.

Abstract: A system includes one or more processors and memory coupled to the one or more processors, storing processor-executable instructions that cause the one or processors to perform operations. The operations include, prior to a train departing from a departure location: generating, one or more train departure strategies for a segment of a trip for the train traveling on a track from the departure location where the train is stationary, displaying information associated with the segment of the track, playing a simulation of the train traveling on the track over the segment based on the one or more train departure strategies, the simulation beginning from when the train is stationary at the departure location; receiving a selection of a train departure strategy, and engaging the selected train departure strategy for operating the train from the departure location where the train is stationary.

Abstract: A system that can automatically measure, track, and/or report train emissions for complying with geographic environmental restrictions. An emissions module determines the amount of emissions emitted by a train over time. A location module tracks the location of the locomotive of the train relative geographic locations having emission regulations. A compliance module records the amount of emissions emitted by the train in the geographic location.

Abstract: A system that can automatically control the emissions of each locomotive in a consist to reduce overall train emissions. An emissions module determines the amount of emissions emitted by a train. An emissions control module commands the locomotive, via the train control system, to operate in a predetermined state to achieve a particular amount of emissions. A location module can track the location of the locomotive of the train relative geographic locations having emission regulations so that the emissions control module can command appropriate changes in the locomotive to reduce emissions.

Abstract: A system for optimizing the control of a train that includes an interface for receiving data representing a set of operational parameters for a train that will traverse a predetermined route. A server is interconnected to the interface and programmed to generate a plurality of scenarios using the same set of operational parameters but different control parameters. A simulator is programmed to perform a simulation of the operation of the train as described by the operation parameters and control parameters. The server is programmed to review the results of the simulation and score how closely the simulations achieved one or more performance metrics, thereby identifying which control parameters should be used by the train and allowing the control parameters to be transmitted to the train.

Abstract: A predictive maintenance system for determining when an item of equipment on a rail car is due for servicing. A server is configured to receive run data relating to a train and a database is associated with the server to maintain identifying information about the rail car, status information about an item of equipment, the date when the item of equipment will likely be due for servicing, and the current location of the rail car. The service date is calculated from the run data by estimating the amount of wear that likely has occurred based on the run data. The estimated amount of wear may then be used to determine the amount of wear remaining and the date when the equipment will likely reach its lifespan based on estimated use to date and the rate of usage.

Abstract: A system that can automatically control the emissions of each locomotive in a consist to reduce overall train emissions. An emissions module determines the amount of emissions emitted by a train. An emissions control module commands the locomotive, via the train control system, to operate in a predetermined state to achieve a particular amount of emissions. A location module can track the location of the locomotive of the train relative geographic locations having emission regulations so that the emissions control module can command appropriate changes in the locomotive to reduce emissions.

Abstract: A system that can automatically measure, track, and/or report train emissions for complying with geographic environmental restrictions. An emissions module determines the amount of emissions emitted by a train over time. A location module tracks the location of the locomotive of the train relative geographic locations having emission regulations. A compliance module records the amount of emissions emitted by the train in the geographic location.

Abstract: A system for optimizing the control of a train that includes an interface for receiving data representing a set of operational parameters for a train that will traverse a predetermined route. A server is interconnected to the interface and programmed to generate a plurality of scenarios using the same set of operational parameters but different control parameters. A simulator is programmed to perform a simulation of the operation of the train as described by the operation parameters and control parameters. The server is programmed to review the results of the simulation and score how closely the simulations achieved one or more performance metrics, thereby identifying which control parameters should be used by the train and allowing the control parameters to be transmitted to the train.

Abstract: Refrigerator appliance with movable individually temperature controlled bins are provided. One example refrigerator appliance includes one or more transmitter coils and one or more bins. Each of the one or more bins includes a temperature sensor positioned to read a temperature in a bin storage volume. Each of the one or more bins includes a receiver coil. The receiver coil receives power from one of the one or more transmitter coils through inductive power transfer. Each of the one or more bins includes a thermoelectric heat pump. The thermoelectric heat pump receives power from the receiver coil. The operation of the thermoelectric heat pump is controlled based on the temperature in the bin storage volume read by the temperature sensor, such that the temperature in the bin storage volume is maintained at a setpoint temperature associated with such bin.

Abstract: An ice maker assembly and a method for operating an ice maker are provided. The method includes measuring a temperature of the ice maker and determining a first derivative of the temperature of the ice maker with respect to time. An operating state of the ice maker is established based at least in part on the temperature of the ice maker and the first derivative of the temperature of the ice maker with respect to time. Knowledge of the operating state of the ice maker can assist with preventing damage to a motor of the ice maker and with detecting super-cooled liquid water in a mold body of the ice maker.

Abstract: A method for selecting an image of an appliance with a suitable position or orientation of a door of the appliance is provided. The method includes obtaining a digital RGB image from a camera of the appliance and converting the digital RGB image to a device independent color space in order to generate at least one of a first chromatic primary plane image or a second chromatic primary plane image from the digital RGB image. The method also includes comparing the first or second chromatic primary plane images to a reference image.

Abstract: Refrigerator appliances and methods for operating refrigerator appliances are provided. In one embodiment, a method includes detecting a user's presence, associating the user's presence with a heated beverage preference, and initiating heating of a liquid stored in the refrigerator appliance. The detecting step, the associating step and the initiating step are performed by a controller of the refrigerator appliance.

Abstract: Refrigerator appliances and active air filter assemblies therefor are provided. A refrigerator appliance includes a main controller configured to control refrigerator appliance operations, and a connector port in communication with the main controller and accessible within a fresh food chamber, the connector port configured to provide at least one of data communication with the main controller or electrical power. The refrigerator appliance further includes an active air filter assembly which includes a housing, an inlet aperture defined in the housing, an outlet aperture defined in the housing, and a fan disposed within the housing and operable to actively flow air through the inlet aperture and outlet aperture. The air filter assembly further includes a connector plug connectable to the connector port to receive the at least one of data communication with the main controller or electrical power.

Abstract: A control system for a refrigeration system with dual evaporators is provided. In one embodiment, a control system for a dual evaporator refrigeration system is provided where the evaporators are operated simultaneously to provide for improved temperature and humidity control in a refrigerator appliance. In another embodiment, the control system can also use a linear model that is designed to minimize or remove excess enthalpy from one or more compartments and/or features of the appliance. The control system can also be configured with at least one variable speed compressor that is operated at a speed that will remove excess enthalpy within a desired time period while also operating at an optimized speed for energy efficiency.