The Ohio State University

Other

Giorgio Rizzoni

Ahmed Soliman

Sanket S Amberkar

Brian Thomas Murray

Codrin-Gruie Cantemir

Gabriel G Ursescu

Pierluigi Pisu

Byungho Lee

Yann Guezennec

Christopher J Hubert

Osvaldo Barbarisi

A powertrain is adapted to drive ground-engaging elements disposed along longitudinally-opposing sides of a vehicle. The powertrain includes at least one engine, a first electric machine, a second electric machine, a third electric machine, a first differential mechanism and a second differential mechanism. The engine and first electric machine are operatively connected to the first and second differential mechanisms. The second electric machine is operatively connected to the first differential mechanism and the third electric machine is operatively connected to the second differential mechanism. The first and second differential mechanisms are each operatively connected to drivably engage one or more ground-engaging elements disposed on a different one of the longitudinally-opposing sides of the associated vehicle. A vehicle including such a powertrain as well as methods of using the same are also included.

Power train, vehicle and methods

A transaxle () operatively connects a first associated rotational connection and a second associated rotational connection with an associated vehicle axle. An electrically-variable transmission includes an engine (), a first electric machine () operatively connected to the engine, second and third electric machines (and), a first transaxle () operatively connecting the engine and second electric machine to an associated vehicle axle (A), and a second transaxle () operatively connecting the first and third electric machines to another associated vehicle axle (B). A method () is also included.

All wheel drive electrically-variable transmission

Torque estimation techniques in the real-time basis for engine control and diagnostics applications using the measurement of crankshaft speed variation are disclosed. Two different torque estimation approaches are disclosed&#x2014;'Stochastic Analysis' and 'Frequency Analysis.' An estimation model function consisting of three primary variables representing crankshaft dynamics such as crankshaft position, speed, and acceleration is used for each estimation approach. The torque estimation method are independent of the engine inputs (air, fuel, and spark). Both approaches have been analyzed and compared with respect to estimation accuracy and computational requirements, and feasibility for the real-time engine diagnostics and control applications. Results show that both methods permits estimations of the indicated torque based on the crankshaft speed measurement while providing not only accurate but also relatively fast estimations during the computation processes.

Engine control using torque estimation

A model-based Fault Detection and Isolation (FDI) system and method based on a hierarchical structure for monitoring overall vehicle system performance and diagnosing faults is disclosed. The FDI scheme uses the available sensors in a vehicle system and divides them into subsystems of smaller dimensions containing one or more modules that are related or interconnected. The same module may appear in a different subsystem, but the set of all subsystems does not have to contain all of the modules. For this structure, an FDI scheme comprising several detector units is created. Each detector unit receives information from the sensors and outputs a residual that is sent to a residual evaluation unit which processes the data and performs the residual evaluation for the selected subsystem. Finally, each subsystem outputs a decision that is sent to a supervisor unit performing the final diagnosis.

Model-based fault detection and isolation system and method

A model-based Fault Detection and Isolation (FDI) method and system for monitoring the overall performance in a vehicle system based on a hierarchical structure is disclosed. The FDI scheme uses the available sensors in a vehicle system and divides them into subsystems of smaller dimensions containing one or more modules that are related or interconnected. The same module may appear in a different subsystem, but the set of all subsystems does not have to contain all of the modules. For this structure, an FDI scheme comprising several detector units is created. Each detector unit receives information from the sensors and outputs a residual that is sent to a high-level detector unit which processes the data and performs the residual evaluation for the selected subsystem. Finally, each subsystem outputs a decision that is sent to a supervisor hazard detector performing the final diagnosis.

Fault detection and isolation system and method

A method and apparatus for estimating instantaneous torque in an internal combustion engine includes a comprehensive model of internal combustion engine dynamics. Instantaneous net torque is estimated using a model which describes the relationship between engine indicated torque and crankshaft angular velocity. The first method and apparatus perform an explicit model inversion to solve for individual cylinder combustion torques. The second method and apparatus perform an implicit model inversion for reconstructing combustion torques produced by individual combustion events in an internal combustion engine. Unknown input observers are used in the implicit model inversion. The individual cylinder combustion torques are monitored as an indication of engine performance.

Estimation of instantaneous indicated torque in multicylinder engines

An ignition voltage analysis is performed to provide a combustion diagnosis. A first set of characteristic parameters are provided relating a plurality of spark plug voltage, current or gap impedance waveform signals to a plurality of combustion quality measures. A spark plug voltage, current or gap impedance waveform signal is sampled in real time during a first combustion process. A second set of characteristic parameters are then generated based upon the sampled first spark plug voltage waveform signal. The combustion process is classified as a one of a knocking combustion event, a normal combustion event, a slow burn event, a partial burn event, and a misfire event. The spark plug voltage, current or gap impedance waveform signals are classified according to a statistical closeness to parameters generated by a testing engine operated in each of the above operating modes. The sampled ignition voltage signals are correlated with combustion performance indices for use in practical in-vehicle implementation for feedback control, engine monitoring, or the like.

Growing community of inventors

Upper Arlington, OH, United States of America

Giorgio Rizzoni