Visteon Global Technolgoies, Inc.

Eaton Corporation

Xubin Song

Jeremy Richard Edmondson

Zhesheng Li

Carlos Fernando Osorio

James Edward McCarthy, Jr

Dale Arden Stretch

Douglas John Nielsen

John Trublowski

John Albert Kovacich

Karen Evelyn Bevan

Martin Pryor

Benjamin Morris

Chia-Hsiang Liu

Benjamin Saltsman

David Yee

Zhijun Tang

Evan Grimm

An apparatus for measuring at least one of temperature and pressure within a cylinder of an internal combustion engine can include an engine valve and a sensor. The internal combustion engine can include a valvetrain having rocker arm assembly, a camshaft, a valve, and a hydraulic lash adjuster. The engine valve can have a valve head and a valve stem extending from the valve head in an axial direction. The valve head can have a valve face configured to be in pressure communication with an engine cylinder. The valve stem can have an outer surface with a cylindrical portion and a variably-shaped portion. The variably-shaped portion can define a target detectable by the sensor and the sensor can be installed adjacent to the target. Alternatively, the sensor can be positioned to detect a level of force at some point along the valvetrain.

Detection apparatus for at least one of temperature and pressure in a cylinder of an internal combustion engine

A mobile computing apparatus simulates the performance of a virtual vehicle using the route, driving behavior and loading experience of a baseline vehicle. The baseline vehicle is instrumented and operational data is collected, forming a data set. The apparatus includes simulator logic configured to construct a duty cycle from the data set representative of the operation of the baseline vehicle during travel along the route (e.g., a loading duty cycle). The data set includes route data with distance and vehicle speed information, engine data associated with the engine, and operational element data. The logic defines a virtual vehicle that is the same as the baseline vehicle but that includes a virtual operational element, such as a transmission, that is different than that in the baseline vehicle. The logic determines a performance characteristic, such as fuel economy, of the virtual vehicle using the constructed duty cycle.

System and method for simulating the performance of a virtual vehicle

The present invention provides regenerative passive and semi-active suspension systems. A regenerative suspension system generally includes at least one regenerative damper, a module, an electric switch, and a battery. The at least one regenerative damper converts mechanical vibration energy within a vehicle into a voltage, which the damper passes to the module. The module measures the voltage from the regenerative damper, and in response, changes electric switch settings for each regenerative damper between an open circuit, a closed circuit completed by a power resistance, and a closed circuit completed by circuitry for charging a battery. Additionally, the module sets electric switch levels to adjust the damping forces within each regenerative damper.

Regenerative passive and semi-active suspension

The present invention provides a transmissibility shaping control for active suspension systems. The T-shaping control is a combination of several sub-strategies using the dynamic information in the frequency domain. Each strategy works dominantly in a certain frequency range to achieve a desirable transmissibility for better suspension performance in the corresponding frequency range. Different sub-strategies for different frequency ranges include stiffness control, skyhook control, groundhook control, and various damping levels. In addition, an embodiment is provided utilizing tunable compressible fluid struts in an active vehicle suspension.

Transmissibility shaping control for active vehicle suspension systems

A method and apparatus is provided for estimating the mean pressure in a compressible fluid strut. A database is employed containing values for mean pressure variation corresponding to a specific combination of motor speed and flow demand, and may also account for strut temperature. The flow demand and the speed of the motor are determined, and the mean variation corresponding to the determined combination of motor speed and flow demand is selected. The estimation of strut mean pressure is updated with the selected mean pressure variation. In this way, costly pressure sensors are eliminated as well as the complicated control algorithms which are used therewith.

Mean pressure estimation for compressible fluid strut

A regenerative damper and method for regenerative damping are disclosed. The regenerative damper uses the kinetic energy of undesirable vehicle motion to generate electrical current in a circuit. The electricity is generated by a power screw that operates like an alternator. Vehicle energy efficiency is increased by using the electrical current to charge a battery. The regenerative damper can be semi-active or passive. The semi-active embodiment is able to adapt to operating conditions to improve vehicle ride and handling, whereas the passive embodiment has a fixed response, regardless of operating conditions.

Regenerative damping method and apparatus

A controller is operative to: receive vehicle body accelerations from a vehicle; use the body accelerations to calculate heave, pitch and roll (HPR) dynamic signals based on the received body accelerations; select frequency ranges based on the HPR dynamic signals (and/or other vehicle dynamic signals) to be controlled; calculate a combined control strategy based on the selected frequency ranges; and adjust a damper of the vehicle based on the control strategy.

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Canton, MI, United States of America

Xubin Song