A method and a device for calculating a pressure loss of an air cleaner, wherein the air cleaner is disposed upstream of a compressor of a supercharger in an engine provided with a plurality of state quantity sensors, includes the step of calculating an outlet pressure of the compressor by using output values of the state quantity sensors, the step of calculating an inlet pressure of the compressor by using the outlet pressure and a characteristic map of the compressor, wherein the characteristic map shows a relationship between a ratio of the outlet pressure to the inlet pressure and a flow rate of gas flowing in an intake pipe of the engine, and the step of calculating the pressure loss of the air cleaner from the inlet pressure.

A method and a device for calculating a pressure loss of an air cleaner, wherein the air cleaner is disposed upstream of a compressor of a supercharger in an engine provided with a plurality of state quantity sensors, includes the step of calculating an outlet pressure of the compressor by using output values of the state quantity sensors, the step of calculating an inlet pressure of the compressor by using the outlet pressure and a characteristic map of the compressor, wherein the characteristic map shows a relationship between a ratio of the outlet pressure to the inlet pressure and a flow rate of gas flowing in an intake pipe of the engine, and the step of calculating the pressure loss of the air cleaner from the inlet pressure.

A monitoring system and method for detecting clogging through fouling of an air filter (3) of an internal combustion engine (5) comprising a differential pressure sensor means (7) for determining a differential pressure between an ambient environment and a position directly downstream of the air inlet filter. The system further comprising at least one exhaust flow sensor means (9) for determining the exhaust flow, and a controller (13) which is communicatively connected to each of the sensor means for processing information therefrom. The controller is arranged for determining a first filter resistance coefficient based on, at least, a measurement of the differential pressure, and the exhaust flow. The system is arranged for, using the controller, to calculate a second filter coefficient based on the historic evolution of the first filter coefficient, the controller further arranged for comparing the second filter coefficient to a boundary value, and generating a clogging alarm signal when the second filter coefficient exceeds said boundary value.

A monitoring system and method for detecting clogging through fouling of an air filter (3) of an internal combustion engine (5) comprising a differential pressure sensor means (7) for determining a differential pressure between an ambient environment and a position directly downstream of the air inlet filter. The system further comprising at least one exhaust flow sensor means (9) for determining the exhaust flow, and a controller (13) which is communicatively connected to each of the sensor means for processing information therefrom. The controller is arranged for determining a first filter resistance coefficient based on, at least, a measurement of the differential pressure, and the exhaust flow. The system is arranged for, using the controller, to calculate a second filter coefficient based on the historic evolution of the first filter coefficient, the controller further arranged for comparing the second filter coefficient to a boundary value, and generating a clogging alarm signal when the second filter coefficient exceeds said boundary value.

Methods and systems are provided for reliably prognosing a vehicle component, such as a vehicle battery or an intake air filter. A state of degradation of the component is predicted based on a metric that is derived from a sensed vehicle operating parameter, the parameter selected based on the component being diagnosed, as well as based on past driving history and future driving predictions. The predicted state of degradation is then converted into an estimate of time or distance remaining before the component needs to serviced, and displayed to the vehicle operator.

Methods and systems are provided for reliably prognosing a vehicle component, such as a vehicle battery or an intake air filter. A state of degradation of the component is predicted based on a metric that is derived from a sensed vehicle operating parameter, the parameter selected based on the component being diagnosed, as well as based on past driving history and future driving predictions. The predicted state of degradation is then converted into an estimate of time or distance remaining before the component needs to serviced, and displayed to the vehicle operator.

Methods and systems are provided for reliably prognosing a vehicle component, such as a vehicle battery or an intake air filter. A state of degradation of the component is predicted based on a metric that is derived from a sensed vehicle operating parameter, the parameter selected based on the component being diagnosed, as well as based on past driving history and future driving predictions. The predicted state of degradation is then converted into an estimate of time or distance remaining before the component needs to serviced, and displayed to the vehicle operator.

Methods and systems are provided for reliably prognosing a vehicle component, such as a vehicle battery or an intake air filter. A state of degradation of the component is predicted based on a metric that is derived from a sensed vehicle operating parameter, the parameter selected based on the component being diagnosed, as well as based on past driving history and future driving predictions. The predicted state of degradation is then converted into an estimate of time or distance remaining before the component needs to serviced, and displayed to the vehicle operator.

Embodiments herein relate to filter restriction indicator (100) for a filtration system. In an embodiment, a filter restriction indicator (100) can have an electronics control cartridge (800) including an internal spacer frame (304), a first circuit board (346), a second circuit board (302) disposed over the first circuit board (346), and a pressure sensor (336) in electrical communication with the first circuit board (346). A filter fluid tube (318) defines a filter fluid channel (348) in fluid communication with the pressure sensor (336). The internal spacer frame (304) can secure the first circuit board (346) at a fixed distance from the second circuit board (302). A lower housing (108) defines an ambient pressure port (310). A cap (102) defines an interior volume (332) into which the electronics control cartridge fits (800). The cap (102) can define a shielding panel (112) configured to fit over an exterior portion of the ambient pressure port (336) when the cap (102) is engaged with the lower housing (108). Other embodiments are also included herein.

A clogging degree estimation apparatus includes an information acquisition unit configured to acquire information indicating a vehicle's traveling status for each predetermined travel section, a coefficient determination unit configured to determine a clogging coefficient K based on the traveling status indicated by the information for each travel section, and a clogging degree calculator configured to calculate an increase in clogging degree based on the product of the clogging coefficient K and a distance of the travel section for each travel section and calculate, as the clogging degree, an integrated value of the increase in clogging degree calculated for each travel section.