Abstract:
A method for detecting fuel leaking into an oil pan (16) containing oil which is used to lubricate an internal combustion engine (12) utilizes a plurality of sensors (18). The method includes the step of measuring a plurality of parameters of the oil using each of the plurality of sensors (18) to create measured values. A fuel leakage value is calculated incorporating each of the measured values. The method then determines when the fuel leakage value exceeds a predetermined value.
Abstract:
An exhaust gas treatment system (14) includes a selective catalytic reduction (SCR) catalyst (38) and a dosing control (80) responsive to exhaust gas operating conditions for controlling the dosing rate of a reductant such as aqueous urea into the exhaust stream. The dosing control is configured to reduce the dosing rate when either a sudden increase in the exhaust mass air flow is detected or when an exhaust gas temperature gradient is in an increasing state. The dosing control is also configured to shut-off dosing when a measured ammonia concentration level exceeds an ammonia slip trip level, provided that the exhaust gas temperature gradient is also in an increasing state.
Abstract:
Systems and methods for determining a concentration of biodiesel in a mixture of biodiesel and petrodiesel are provided. In one exemplary embodiment, a method includes receiving an oscillatory signal at an inductance-capacitance-resistance circuit (20). The circuit (20) has a sensing element (42) fluidly communicating with the mixture of biodiesel and petrodiesel. The method further includes generating a resonant current at a resonant frequency utilizing the circuit (20) in response to the oscillatory signal. The method further includes determining a concentration value indicating the concentration of the biodiesel in the mixture based on an amplitude of the resonant current and/or the resonant frequency, utilizing a microprocessor (30). The method further includes storing the concentration value in a memory device (32), utilizing the microprocessor (30).
Abstract:
In an internal combustion engine system having an exhaust aftertreatment system including a selective catalytic reduction (SCR) catalyst (38), diagnostic methods involve the intrusive perturbation of a target surface coverage parameter theta to determine the state of health of the SCR catalyst (38) or an ammonia concentration sensor (60). An adaptive learning block adapts the target theta based on the use of NH 3 sensing feedback from a mid-brick positioned ammonia concentration sensor (60) to pull in system variation. A further diagnostic monitors the amount of adaptation and when the adaptive learning excessively learns, the diagnostic assumes that some system-level degradation must have occurred and the diagnostic will notify the overall emissions control monitor.
Abstract:
In an internal combustion engine system having an exhaust aftertreatment system including a selective catalytic reduction (SCR) catalyst (38), diagnostic methods involve the intrusive perturbation of a target surface coverage parameter theta to determine the state of health of the SCR catalyst (38) or an ammonia concentration sensor (60). An adaptive learning block adapts the target theta based on the use of NH 3 sensing feedback from a mid-brick positioned ammonia concentration sensor (60) to pull in system variation. A further diagnostic monitors the amount of adaptation and when the adaptive learning excessively learns, the diagnostic assumes that some system-level degradation must have occurred and the diagnostic will notify the overall emissions control monitor.
Abstract:
Systems and methods for determining a total acid number associated with biodiesel in a mixture of biodiesel and petrodiesel are provided. The method includes receiving an oscillatory signal at an inductance-capacitance-resistance circuit (20). The circuit (20) has a sensing element (42) fluidly communicating with the mixture of biodiesel and petrodiesel. The method further includes generating a resonant current at a resonant frequency utilizing the circuit (20) in response to the oscillatory signal. The method further includes determining a dielectric constant value indicating a dielectric constant associated with the biodiesel in the mixture based on the resonant frequency of the resonant current, utilizing a microprocessor (30). The method further includes determining a concentration value indicating a concentration of the biodiesel in the mixture based on an amplitude of the resonant current and the dielectric constant value, utilizing the microprocessor (30). The method further includes determining the total acid number associated with the biodiesel in the mixture based on the amplitude of the resonant current or the resonant frequency, and the concentration value, utilizing the microprocessor (30).