ADAPTIVE REAL-TIME DRIVER ADVISORY CONTROL FOR A HYBRID ELECTRIC VEHICLE TO ACHIEVE FUEL ECONOMY IMPROVEMENT

摘要

A vehicle powertrain controller includes a fuzzy logic-based adaptive algorithm with a learning capability that estimates a driver's long term driving preferences. An adaptive algorithm arbitrates competing requirements for good fuel economy, avoidance of intrusiveness and vehicle drivability. A driver's acceptance or rejection of advisory information may be used to adapt subsequent advisory information to the driving style. Vehicle performance is maintained in accordance with a driver's driving style.