Abstract
Electric trucks play a crucial role for achieving a zero-emission future. As battery electric technology advances, electric trucks are expected to become a cost-effective and sustainable alternative to diesel trucks. Despite their potential, the adoption rate for long-haul electric trucks remains low due to challenges like limited range and long charging times.
Research on high-power charging stations for long-haul trucks is limited. Long-haul trucks have unique driving patterns that affect their charging needs, and investigating the load profiles to be expected is fundamental to conduct a proper assessment of the impact of trucks fleet electrification on the charging infrastructure.
This article presents an agent-based modeling approach to estimate high-power charging station load profiles, leveraging open data and behavioral modeling. A case study along a Norwegian highway highlights the framework’s applicability for evaluating the grid impact under diverse truck charging behavior and heavy-duty transport electrification scenarios.