'Predictive fuzzy rb control' presentation slideshows

Methodology to Design an Optimal Rule Based Energy Management Strategy Using Energetic Macroscopic Representation: Case

The energy management strategy implemented in plug-in hybrid electric vehicles largely affects their energy consumption and emissions. Rule-Based (RB) controllers are commonly used for their simplicity and suitability in real-time applications. However, these controllers are most often based on basic engineering intuition such as the charge depleting-charge sustaining strategy, and lack to provide optimal energy savings compared to global optimization strategies. This paper presents to powertrain modeling practitioners a comprehensive methodology to design an optimal rule-based controller for series plug-in hybrid electric vehicles, derived from global optimization control routine. Dynamic programming control is used first, and based on the resulting powertrain components behavior; power management rules are then derived.

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