Abstract: A common lubrication and cooling system includes a lubricant-supported electric motor including a stator and a rotor defining a gap therebetween, with a liquid coolant disposed in the gap for supporting the rotor while allowing the rotor to rotate relative to the stator. The common lubrication and cooling system also includes a liquid-cooled inverter. The liquid-cooled inverter includes a plurality of switch devices configured to supply an alternating current (AC) power to the lubricant-supported electric motor for driving the rotor to rotate. The liquid-cooled inverter also includes a first heatsink mechanically connected to the plurality of switch devices. The liquid-cooled inverter also includes an inverter passageway configured transmit the liquid coolant between the lubricant-supported electric motor and into fluid communication with the first heatsink for transmitting heat away from the first heatsink.

Abstract: A quality diagnostics system for lubricant/coolant fluid includes a lubricant supported electric motor including a stator and a rotor defining a gap therebetween, with the lubricant/coolant fluid disposed in the gap for supporting the rotor while allowing the rotor to rotate relative to the stator. An inverter includes a plurality of power switches configured to supply an alternating current (AC) power to the motor for driving the rotor to rotate. A passageway conveys the lubricant/coolant fluid between the motor and the inverter. A lubricant quality sensor includes a set of sensor plates disposed along the passageway, an excitation source configured to apply an AC excitation voltage to a first sensor plate, and an electrical sensor configured to measure a response to the AC excitation voltage. A controller determines, based on a sensor signal from the electrical sensor, at least one of metal contamination and water contamination in the lubricant/coolant fluid.

Abstract: An omni-directional anemometer may include a housing, a cavity, and a plurality of ports in fluid communication with the atmosphere. The ports may include at least one sensor configured to measure air pressure. The robust housing may be formed by additive manufacturing, casting, machining, or molding. The anemometer may include a controller configured to determine wind speed and direction using the air pressure measurement signals from the at least one sensor. The anemometer may include a communication module configured to send and/or receive signals from the at least one sensor and the controller using wired and/or wireless communication. The communication module may send or receive signals to or from a network, a server, a vehicle, a structure, and/or a user interface. The anemometer may include a power supply connected to the at least one sensor, controller and/or communication module.

Abstract: A distributed system for monitoring and control of a vehicle includes a supervisory controller with a first computer readable storage media for monitoring and storing a plurality of operational parameters regarding a physical system of the vehicle. The supervisory controller communicates with a server via two different communications networks. Method steps are provided for characterizing and predicting functional details of a system state of the physical system using the model parameters and at least one operational parameter of the physical system, and for using values obtained by the server regarding a plurality of different vehicles in order to improve the monitoring and control of the vehicle. A method is also provided to determine and report any operational parameters miss a corresponding performance target. A method is also provided for changing the storage or transmission of operational parameters based on their relative importance.

Abstract: A method for monitoring a vehicle, the method includes measuring multiple vehicle operating parameters using a vehicle monitor; wherein the vehicle monitor is mechanically coupled to the vehicle or installed in the vehicle; searching, by the vehicle monitor, for one or more out-of-range vehicle operating parameters; wherein an out-of-range vehicle operating parameter is a vehicle operating parameter that is outside an allowable range of the vehicle operating parameter; and responding to the one or more out-of-range vehicle operating parameters by the vehicle monitor; wherein the one or more out-of-range vehicle operating parameters are indicative of at least one vehicle failure that is impending; wherein the responding precedes an occurrence of the at least one vehicle failure that is impending; and wherein the responding comprises at least one out of: sending one or more out-of-range alerts indicting about the one or more out-of-range vehicle operating parameters; sending additional information relating to t

Abstract: A method for testing a vehicle system that is installed in each vehicle of a fleet of vehicles, the method may include executing, for each vehicle of the fleet of vehicles, the steps of: sensing one or more sensed vehicle system parameters of the vehicle system; calculating, by a vehicle monitor of the vehicle, one or more performance parameters of the vehicle system, wherein the calculating is based on the one or more sensed vehicle system parameters of the vehicle system; and transmitting information about the one or more sensed vehicle system parameters.

Abstract: A distributed system for monitoring and control of a vehicle having a plurality of physical systems, and a plurality of subsystems includes a supervisory controller with a first computer readable storage media for monitoring and storing a plurality of operational parameters. The supervisory controller communicates with a server a communications networks. A first method includes storing historical data in a database; simulating the physical system within the vehicle using a functional model; and continuously improving the model. Specific implementations of the first method include the physical system being a hydraulic system, an internal combustion engine, and a battery module. A second method includes storing historical data in a database; estimating a transfer function characterizing the behavior of a physical system; and diagnosing a subsystem as having a failure or a degradation. A third method includes monitoring operation actions related to safety, productivity, and efficiency.

Abstract: A distributed system for monitoring and control of a vehicle having a plurality of physical systems, and a plurality of subsystems includes a supervisory controller with a first computer readable storage media for monitoring and storing a plurality of operational parameters. The supervisory controller communicates with a server a communications networks. A first method includes storing historical data in a database; simulating the physical system within the vehicle using a functional model; and continuously improving the model. Specific implementations of the first method include the physical system being a hydraulic system, an internal combustion engine, and a battery module. A second method includes storing historical data in a database; estimating a transfer function characterizing the behavior of a physical system; and diagnosing a subsystem as having a failure or a degradation. A third method includes monitoring operation actions related to safety, productivity, and efficiency.

Abstract: A distributed system for monitoring and control of a vehicle includes a supervisory controller with a first computer readable storage media for monitoring and storing a plurality of operational parameters regarding a physical system of the vehicle. The supervisory controller communicates with a server via two different communications networks. Method steps are provided for characterizing and predicting functional details of a system state of the physical system using the model parameters and at least one operational parameter of the physical system, and for using values obtained by the server regarding a plurality of different vehicles in order to improve the monitoring and control of the vehicle. A method is also provided to determine and report any operational parameters miss a corresponding performance target. A method is also provided for changing the storage or transmission of operational parameters based on their relative importance.