A method of using a control system to estimate range of an electrified vehicle operated by a driver includes monitoring a first set of driver behaviors while the vehicle is in operation and comparing the monitored first set of driver behaviors to a plurality of known profiles having respective stored behaviors. The method may include matching the first set of driver behaviors to at least one of the known profiles to create an adapted driver model, modeling an adapted drive cycle profile based on the matched adapted driver model, and calculating a predicted driving range based on the adapted drive cycle profile. The method may classify the monitored first set of driver behaviors as at least one of conservative, neutral, and aggressive, relative to the plurality of known profiles, and model the adapted drive cycle profile is further based on the conservative, neutral, or aggressive classification.


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    Title :

    DRIVER MODEL ESTIMATION, CLASSIFICATION, AND ADAPTATION FOR RANGE PREDICTION


    Contributors:
    WANG YUE-YUN (author) / KANG JUN-MO (author) / LI DONGXU (author) / LEE CHUNHAO J (author) / CHEN JINZHU (author) / GRIMM DONALD K (author) / BROOKS DAVID J (author)

    Publication date :

    2021-05-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    B60L PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES , Antrieb von elektrisch angetriebenen Fahrzeugen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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