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Load profiles of charging stations for long-haul electric trucks

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.
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Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Energy Research / Energisystemer

Year

2025

Publisher

38th International Electric Vehicle Symposium and Exhibition

Book

38th International Electric Vehicle Symposium and Exhibition - EVS38

View this publication at Norwegian Research Information Repository