A method includes generating, for an electric vehicle powertrain, a calibration map providing a mapping from values of a set of context variables to mapped values of a set of decision variables. The context variables have values representing the vehicle’s operational conditions, and the decision variables have values representing powertrain parameters adjustable by an ECU. The method includes determining the mapped values 572 in dependence on outputs of a Gaussian process model 570 arranged to predict values of a performance characteristic at points in an input space having dimensions corresponding to at least one context variable and at least one decision variable. A covariance function of the Gaussian process model depends on input space points in accordance with a specified physical relationship between the performance characteristic and at least a chosen variable of the decision or context variables. The performance characteristic may be a torque value, current advance angle and there may be more than 1 Gaussian process model.


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    Title :

    Electric vehicle powertrain calibration


    Contributors:
    FERGUS SIMPSON (author) / VICTOR PICHENY (author) / ANDREW LIUBINAS (author) / QI QI (author) / ANDREW CHUNG (author)

    Publication date :

    2024-12-04


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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