Systems and methods for lubricant dilution detection are disclosed. A method for detecting lubricant dilution for a lubrication system includes detecting a low idle condition. The method includes receiving sensed values indicative of lubricant pressure and lubricant temperature during the low idle condition. The method also includes determining a lubricant pressure threshold based on the sensed value indicative of lubricant temperature. The method further includes determining lubricant dilution based on the sensed value indicative of lubricant pressure and the determined lubricant pressure threshold during the low idle condition. In accordance with a determination that there is lubricant dilution, the method includes outputting an indication of the lubricant dilution.

A controller for a vehicle is configured to execute a lubricating oil degradation degree acquisition process that calculates a degradation degree of a lubricating oil that lubricates an internal combustion engine, a battery degradation degree acquisition process that calculates a degradation degree of a battery, and an oil change time calculation process that calculates an oil change time for the lubricating oil from the degradation degree of the lubricating oil and the degradation degree of the battery. The oil change time calculation process includes calculating the oil change time so as to become earlier as the degradation degree of the battery increases.

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.

An oil change system. The oil change system includes an evacuation system, a refill system, one or more sensors and a control circuit. The evacuation system includes a first quick connect fitting configured to mate with a quick connect valve of a vehicle. The refill system includes a second quick connect fitting configured to mate with the quick connect valve of the vehicle. The control circuit is coupled to the evacuation system, the refill system and the one or more sensors, and is configured to automatically identify the vehicle, determine a type, a viscosity and a volume of oil associated with the vehicle and control a volume of new oil added to the vehicle.

A computer implemented method system and apparatus for determining remaining life of engine oil in an engine includes generating reference engine profile data by determining reference engine parameters of a reference engine; determining reference engine oil lubrication data based on mechanical testing of an oil sample from the reference engine; generating a reference model by associating the reference engine profile data with the reference engine oil lubrication data; receiving the reference model at an engine apparatus; measuring engine parameters relating to operation conditions of an engine of the engine apparatus; and determining remaining life of engine oil in the engine of the engine apparatus using the reference model and the engine parameters.

To monitor oil quality of an automotive vehicle, a sensor generates a signal indicative of a characteristic of the oil. A processor is configured to determine the oil quality from the signal. A communication component transmits an indication of whether the determined oil quality meets an unacceptability criterion to an external device.

A vehicle liquid testing system includes a liquid testing apparatus with a form factor of a dipstick. The system includes a sensor that detects a property of a fluid in a vehicle and emits a signal indicative of the property. A transmitter receives the signal from the sensor and transmits the signal. A controller receives the signal from the transmitter and compares the signal from the sensor to a threshold level to determine a condition of the fluid.

An oil change system. The oil change system includes an evacuation system, a refill system, one or more sensors and a control circuit. The evacuation system includes a first quick connect fitting configured to mate with a quick connect valve of a vehicle. The refill system includes a second quick connect fitting configure to mate with the quick connect valve of the vehicle. The control circuit is coupled to the evacuation system, the refill system and the one or more sensors, and is configured to automatically identify the vehicle, determine a type, a viscosity and a volume of oil associated with the vehicle and control a volume of new oil added to the vehicle.

A fluid degradation monitoring system may detect a replacement of a fluid of a machine. The fluid degradation monitoring system may determine, after detecting the replacement of the fluid, a first degradation estimate of the fluid using a first technique based on characteristics relating to an operation of the machine. The fluid degradation monitoring system may detect a transition in a value of a dielectric constant of the fluid from a first phase to a second phase. The fluid degradation monitoring system may determine, after detecting the transition in the value of the dielectric constant, a second degradation estimate of the fluid using a second technique based on characteristics relating to 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.