Od průzkumu k simulaci: Modelování profilů nabíjení baterií elektromobilů v českém kontextu

Štrba, Patrik

As Battery Electric Vehicles (BEVs) are expected to play a central role in decar- bonizing the transport sector, understanding their charging behavior is crucial for planning both the Charging Infrastructure (CI) and necessary electricity supply. This thesis investigates BEV charging patterns in Czechia using RAMP- Mobility, a bottom-up, stochastic load profile generator. We first assess the first Czech National Travel Survey (NTS) Czechia in Motion (CiM), and demonstrate that its outcomes are broadly consistent with official population statistics and mobility data from other European countries. A location-based distribution of the Czech vehicle stock throughout the day is constructed, offering a more detailed view of vehicle location patterns over the course of a day. Four fu- ture scenarios (2025 - 2050) are developed, reflecting varying BEV charging strategies and redistribution mechanisms, under the assumption of decreasing private residential charging availability. The results show that the availability of CI gradually declines during key home-parking periods, and that excessive substitution with low-utilization locations leads to unrealistic CI availability. Thus, we recommend that policymakers prioritize public residential charging points when planning future CI. Lastly, we outline future...

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