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An Adaptive, Fuzzy Logic Based Parallel Hybrid Drivetrain Controller, 03-9132

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Principal Investigators
Ashok Nedungadi
Mark Walls
Bapiraju Surampudi

Inclusive Dates: 04/01/99 - Current

Background - The motivation for undertaking this program was driven by the challenge of developing a novel parallel hybrid powertrain that is robust and reliable. The SwRI-designed hybrid powertrain, with the potential of increased fuel savings and emissions reduction, is a radical departure from present hybrid powertrains. The challenge of this project was to design a controller based on adaptive learning and fuzzy logic to improve fuel economy and emissions without compromising driveability or vehicle performance.

Approach - The primary objective is to improve the existing SwRI hybrid powertrain controller, so that it will perform more reliably and predictably. Applying adaptive controls with fuzzy logic is the key to resolving driveability concerns of SwRI’s present powertrain. The proposed approach consists first of designing and implementing an adaptive controller for the engine and motor of the existing SwRI parallel hybrid powertrain. After the hardware implementation of the adaptive controller, the powertrain will be tested over several driving profiles to ensure robustness and repeatability. Second, the research team proposes to develop a fuzzy logic-based supervisory controller that will select and transition the powertrain from one mode of operation (that is, assist, charge, electric, or regeneration) to another in a smooth manner, without compromising emissions or driveability or introducing instabilities. Finally, the team will conduct fuel economy and emissions testing of the improved drivetrain using expertise available within the Institute.

Accomplishments - In this ongoing project, all mechanical hardware is in place to initiate powertrain testing. At this time, special transducers are being wired into the system to facilitate the testing and an adaptive PID control scheme has been implemented. In the near future, the team plans on testing this adaptive scheme and refining it to optimize fuel efficiency and emissions.

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This dynamometer test stand was used to validate and test the parallel hybrid powertrain.

Engines, Fuels, Lubricants, and Vehicle Systems Program
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