Trw Limited

Avl North America, Inc.

Avl Powertrain Engineering, Inc.

Nicholas Michael Zayan

Stephen R W Cooper

Jon Kelly Wallace

Farid Khairallah

Mark S Rauchfuss

Chek-Peng Foo

Gary L Hunter

Gustav R Johnson

A waste heat recovery system for an engine is disclosed. In one example, the waste heat recovery system includes an expander, a first heat exchanger system, and a second heat exchanger system. The expander is configured to convert waste heat from a working fluid into mechanical energy. The first heat exchanger system is in fluid communication with the expander, the first heat exchanger system disposed upstream of the expander. The second heat exchanger system is in fluid communication with the expander and is disposed upstream of the expander and arranged in parallel with the first heat exchanger system.

Rankine cycle pump and recuperator design for multiple boiler systems

In one implementation of the disclosed technique, a NOx sensor polynomial algorithm is used to discriminate between NOx and ammonia emission. The polynomial algorithm uses the SCR's time constant property to infer the 'loading state' of the SCR and estimate both the NOx conversion and quantity of ammonia slip. The polynomial algorithm assesses this by differentially analyzing the upstream and downstream NOx sensor signals through a comparison of the polynomial coefficients.

SCR ammonia slip detection

A misfire detection system is provided including an internal combustion engine having a combustion chamber and an exhaust system in fluid communication with the combustion chamber. An acoustic sensor is associated with either the combustion chamber or the exhaust system for sensing noise. The controller receives a signal from the acoustic sensor for determining whether the noise is indicative of misfire. One or more acoustic sensors may be fluidly and/or mechanically coupled to the engine or other portion of the powertrain system. The acoustic sensor generates a signal having a frequency that may be compared to engine temperatures, speeds, and loads to determine whether a misfire event has occurred in one of the cylinders. The signature of the frequency may be determined and compared with a known set of frequencies for desired engine operation to determine whether a misfire has occurred.

Misfire detection using acoustic sensors

A particulate filter system is provided including an exhaust system transporting emissions from an engine. A filter such as a diesel particulate filter is disposed in the exhaust system. An acoustic sensor is associated with the exhaust system for detecting one or more frequencies passing through the filter. The frequency corresponds to a filter state indicative of a clean, full, loading, or failed filter. One or more acoustic sensors may fluidly or mechanically coupled to portions of the exhaust system to determine the frequency caused by the exhaust flow through the filter. The acoustic emissions from the filter may be used to compare to a known filter state to determine the present filter state. Alternatively, more sophisticated mathematical approaches may be used in which processed filter information is compared to a known filter state to determine the present filter state.

Diesel particulate filter monitoring using acoustic sensing

An apparatus () and associated method determine a vehicle occupant characteristic. An imager () collects a first image of an occupant location while the occupant location is subject to a first lighting condition. A light source () provides light onto the occupant location. The imager () collects a second image of the occupant location while the occupant location is subject to the first lighting condition and the provided light. A subtractor device () generates a third image of the occupant location indicative of the difference between the first and second images. An image processing device () processes the third image to determine the vehicle occupant characteristic.

Apparatus and method for determining vehicle occupant characteristic utilizing imaging with provided light

A vehicle intrusion detection system () for detecting an intrusion condition of a vehicle () having an occupant compartment () partially defined by an outer structure () of the vehicle, comprises an actuatable illuminator () mounted in the vehicle and having a limited field of illumination () extending within the vehicle occupant compartment adjacent the vehicle outer structure. A linear imager () mounted in the vehicle () has a field of view () that substantially coincides with the field of illumination () of the illuminator (). A controller () compares a first image taken by the imager () when the illuminator () is actuated and a second image taken by the imager when the illuminator is unactuated to help determine the existence of an intrusion condition of the vehicle.

Intrusion detection system using linear imaging

An occupant sensing system ( ) and an associated method provide for the sensing of an occupant ( ). An illuminating element ( ) of the system ( )selectively illuminates the interior of a vehicle ( ). An image sensor ( ) acquires a first image of the interior of the vehicle ( ) when the interior of the vehicle is illuminated by ambient sources only and acquires a second image of the interior of the vehicle when the interior of the vehicle is illuminated by ambient sources and the illuminating element ( ). A controller ( ) removes the effect of ambient sources by comparing the first and second images to produce a third image of the interior of the vehicle ( ) as illuminated by the illuminating element ( ) only. The controller ( ) determines the presence of an occupant ( ) by comparing the third image to a produced map of the interior of the vehicle ( ).

Occupant sensing system and method via imaging

An apparatus ( ) for determining the location of a vehicle occupant ( ) in a vehicle interior includes a light source ( ) for projecting at least one structured light beam ( ) onto an area of interest ( ) to form a light pattern on the area of interest. A beam divergence control device ( ) alters the apparent location of the light source ( ) with respect to the area of interest ( ). An imager ( ) detects the light reflected from the area of interest ( ). A characteristic of the reflected light is measured, and the distance between the imager ( ) and the area of interest ( ) is measured, based on the measured characteristic of the reflected light.

Structured lighting detection of vehicle occupant type and position

A vehicle occupant sensor apparatus ( ) has an imager ( ) that gathers an image of an occupant ( ). The image has focus attributes. A focal plane associated with the imager ( ) is at a distance from the imager. A 2D high-pass filter ( ), a multiple frame temporal filter ( ), and a position determination component ( ) operate to determine position of the occupant ( ) relative to the focal plane ( ) via use of the focus attributes.

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Fenton, MI, United States of America

Nicholas Michael Zayan