Crank Angle Estimation with Kalman Filter and Stroke Identification for Electronic Fuel Injection Control of a Scooter Engine

Document Number: 2005-01-0076

Date Published: April 2005

Author(s):
Bo-Chiuan Chen - National Taipei University of Technology
Yuh-Yih Wu - National Taipei University of Technology
Feng-Chi Hsieh - National Taipei University of Technology
Go-Long Tsai - National Taipei University of Technology

Abstract:
In order to study the noise effect of the crank angle sensor on electronic fuel injection (EFI) control system, a Kalman filter with stroke identification is employed to estimate the crankshaft rotational dynamics. Estimated crank angle and speed are then used for EFI system. A 125 c.c. scooter engine verified by the experimental data is used to design the Kalman filter. A simulation model, which consists of nonlinear engine dynamics, powertrain dynamics, tire dynamics, and pitch-plane motorcycle dynamics, is established in Matlab/Simulink to evaluate the performance of the Kalman filter at various noise conditions.

File Size: 362K
Product Status: In Stock

Included in: SP-1975

See other papers presented at SAE 2005 World Congress & Exhibition, April 2005, Detroit, MI, USA, Session: Electronic Engine Controls (Part 3 & 4 of 8)

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