Ford Global Technolgoies, LLC

Sheida Malekpour

Imad Hassan Makki

David Michael Herman

Pankaj Kumar

Mark Eifert

David Alfred Ostrowski

Fakhreddine Landolsi

Leopoldo Urbina

David W Linden

Christopher Leon Jones

Sanjay Abhyankar

Methods and systems are provided for selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle on a road segment that includes one or more road attributes associated with increased levels of anxiety. In one example, selectively inhibiting a stop-start controller of a vehicle based on a predicted anxiety of a driver of the vehicle includes determining a driver classification for a driver operating the vehicle; predicting an anxiety level of the driver at an upcoming traffic condition, based on the driver classification; and selectively inhibiting an upcoming engine idle-stop event based on the predicted anxiety level of the driver.

Methods and systems for an adaptive stop-start inhibitor

Methods and systems are provided for reliably providing a prognosis of the life-expectancy of a vehicle battery. A state of degradation of the battery is predicted based on a rate of convergence of a metric, that is derived from a sensed vehicle operating parameter, towards a defined threshold, determined based on past history of the metric. The predicted state of degradation is then converted into an estimate of time or distance remaining before the component needs to serviced, and displayed to the vehicle operator. Vehicle control and communication strategies may be defined with respect to the predicted state of degradation.

Method for predicting battery life

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Dearborn, MI, United States of America

Sheida Malekpour