Study improves calibration accuracy and predicts trip-specific parameters for electric vehicles, suggesting enhanced driving condition assessments.
We propose a hierarchical calibration framework for digital twins that accounts for parameter structures. Applied to real-world electric vehicle digital twin from Ford Motor Company, the method improves calibration accuracy and enables prediction of trip-specific parameters for future driving conditions.
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Park et al. (2026) studied this question.
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