A system and method for activating on a user interface an indicator of a condition of a lubricant in a machine module. The system may comprise a controller and a user interface. The controller may be configured to, for each of a first time window and a second time window: receive a plurality of lubricant characteristics and measured lubricant temperatures, calculate an adjusted lubricant characteristic, and determine a slope based on the plurality of adjusted lubricant characteristics. The controller may further determine a change in slope, and generate a signal to activate the indicator on the user interface based on the change in slope, wherein, if the change in slope exceeds a threshold, the indicator is a lubricant changed indicator.

A fluid delivery system for an internal combustion engine and a method of monitoring the fluid delivery system are described. The systems and methods monitor and determine various fluid quality parameters and filter element pressure drop, which can be used to determine real-time estimates of remaining useful life for both the filter element and the fluid. The respective remaining useful life calculations are used by the described systems and methods to determine change intervals for the fluid and the filter element. The change intervals can be synchronized by the systems and methods to reduce the amount of down time due to servicing of the fluid delivery system.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

In one embodiment, there is provided a device for a vehicle, having: a first interface configured to couple to at least one replaceable fluid container for a vehicle comprising a battery, the first interface comprising at least one fluid port configured to couple to at least one fluid port of the replaceable fluid container; a second interface configured to couple to an engine of the vehicle, the second interface comprising at least one fluid port configured to couple to at least one fluid port of a fluid circulation system of the vehicle; a fluid path coupled to at least one fluid port of the first interface and at least one fluid port of the second interface; and at least one electrical pump configured to be powered and/or driven by the battery of the vehicle and to cause fluid flow.

Various embodiments of the invention include a system having: at least one computing device at least one computing device configured to monitor a lubrication oil by performing actions including: determining an initial ideal remaining life for the lubrication oil; determining a temperature-based remaining life for the lubrication oil based upon a temperature measurement of the lubrication oil; calculating a contamination factor of the lubrication oil based upon a non-particle count sample of the lubrication oil; determining an updated ideal life remaining for the lubrication oil based upon the contamination factor, the initial ideal remaining life, and the temperature-based remaining life; and determining an actual life remaining for the lubrication oil based upon the updated ideal life remaining and an actual life lost for the lubrication oil.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

Systems, methods, and computer-program products for fluid analysis and monitoring are disclosed. Embodiments include a removable and replaceable sampling system and an analytical system connected to the sampling system. A fluid may be routed through the sampling system and data may be collected from the fluid via the sampling system. The sampling system may process and transmit the data to the analytical system. The analytical system may include a command and control system to receive and store the data in a database and compare the data to existing data for the fluid in the database to identify conditions in the fluid. Fluid conditions may be determined using machine learning models that are generated from well-characterized known training data. Predicted fluid conditions may then be used to automatically implement control processes for an operating machine containing the fluid.

An oil change system. The oil change system includes a plurality of fluid systems and a control circuit. Each of the fluid systems is couplable to a quick fit valve of a vehicle. The control circuit is coupled to the plurality of fluid systems, comprises a processing circuit, and is configured to control delivery of a predetermined volume of a fluid to the quick fit valve of the vehicle.

A lubrication system for an internal combustion engine and a method of monitoring the lubrication system are described. The lubrication system generally circulates lubricant from a sump (i.e., a reservoir), through a filtration system, to the internal combustion engine, and back to the sump. The lubrication system includes a controller that monitors a dielectric constant of the lubricant and a viscosity of the lubricant. Based on the dielectric constant, the controller can determine whether the lubricant flowing through the lubrication system is new lubricant (e.g., recently replaced lubricant) or old lubricant (e.g., lubricant that has degraded enough to be distinguished from new lubricant). If old lubricant is identified, the viscosity of the lubricant is compared against threshold viscosities to dynamically determine when the lubricant requires replacement.

A device for determining fluid degradation includes a memory and processing circuitry configured to cause the device to generate first calibration data of an e-machine at a first time, generate second calibration data of the e-machine at a second time subsequent to the first time, and determine that the fluid is degraded in response to a difference between the first calibration data and the second calibration data being greater than or equal to a degradation threshold.