Abstract
This paper presents a new methodology for controlling a vehicular powertrain system such as an automatic transmission. The driver's acceleration/deceleration intentions are critical factors in controlling systems such as the automatic transmission or the engine. Fuzzy inductive knowledge and vehicle mechanical models are proposed here as tools for inferring the driver's intentions. By using this knowledge, the driver's intentions can be inferred from driving characteristics. The road grade resistance is needed to determine both the driver's intentions and a suitable vehicle control strategy. Grade resistance is estimated using a mechanical model. A comparison is made with a conventional control system to show the performance improvements obtained with the proposed control methodology. The results verify the effectiveness of factoring the driver's intentions into powertrain control systems.
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