Powertrain Model Selection and Reduction for Real Time Control Algorithm Design and Verification in Rapid Controller Prototyping Environment

New systems or functionalities have been rapidly introduced for fuel economy improvement. Active vibration suppression has also been introduced. Control algorithm is required to be verified in real time environment to develop controller functionality in a short term. Required frequency domain property concept is proposed for representation of target phenomena with reduced models. It is shown how to select or reduce engine, transmission and vehicle model based on the concept.

Engine torque profile which has harmonics of engine rotation is required for engine start, take-off from stand still, noise & vibration suppression and misfire detection for OBD simulation. An engine model which generates torque profile synchronous to crank angle was introduced and modified for real time simulation environment where load changes dynamically.

Selected models and control algorithms were modified for real time environment and implemented into two linked universal controllers. A virtual vehicle on those controllers was run. System behavior was measured. Crank angle signal delayed slightly. The delay is small and does not effect on controller functionality verification. Plant model selection and reduction can be made systematically with the proposed method. That will help effective rapid controller prototyping in shorter time.