Customer-Centric Vehicle Usage Profiling Considering Driving, Parking, and Charging Behavior

We introduce a novel method to generate customer vehicle usage profiles, representing driving, parking, and charging behavior. Synthesizing usage profiles is the key to support decision-making for customer-centric vehicle development. So far, current methods for vehicle development focus exclusively on driving cycles, whereas the representability of parking and charging behavior, which is essential for electromobility, remains neglected. In this paper, we perform vehicle usage profiling by (i) allocating time spans for driving and parking sections, (ii) optimally selecting driving sections from a trip library established from testing fleets, (iii) rearranging driving sections with parking sections into e.g. week profiles, and (iv) integrating the inferred charging behavior of the profiles together with simulation. Using a model of an exemplary plugin hybrid electric vehicle and given raw data from our testing fleets, we demonstrate that our method is capable of estimating the influence of driving, parking and charging behavior on vehicle loads.