TY - GEN
T1 - Navigating the Change
T2 - 27th IEEE International Conference on Intelligent Transportation Systems, ITSC 2024
AU - Balke, Georg
AU - Zahringer, Maximilian
AU - Paper, Anna
AU - Lienkamp, Markus
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - This study presents a strategic approach to designing a nationwide public fast-charging infrastructure for battery electric trucks in Germany. First, it optimizes the placement of charging stations at existing rest areas using a Mixed-Integer Quadratic approach, ensuring coverage required by the new EU Alternative Fuels Infrastructure Regulation (AFIR) while optimizing spatial distribution. Second, an optimal ramp-up strategy is calculated to meet intermediate targets and enhance accessibility early on for electric long-haul traffic. The proposed approach integrates Open Street Maps data with traffic flows to identify strategic locations for charging stations, minimizing the total number while maximizing coverage and utility for long-haul freight transport. The results show that the strategic placement of charging stations could reduce initially developed sites by 36% compared to previous work while still ensuring 93.8% coverage of domestic long-haul traffic in Germany. The proposed ramp-up strategy improves coverage during the phase-in of electric long-haul transport by up to 58.7%, thereby contributing to the EU's emission reduction targets. This approach facilitates a cost-effective transition to electric freight transport and establishes a scalable model for EU-wide implementation.
AB - This study presents a strategic approach to designing a nationwide public fast-charging infrastructure for battery electric trucks in Germany. First, it optimizes the placement of charging stations at existing rest areas using a Mixed-Integer Quadratic approach, ensuring coverage required by the new EU Alternative Fuels Infrastructure Regulation (AFIR) while optimizing spatial distribution. Second, an optimal ramp-up strategy is calculated to meet intermediate targets and enhance accessibility early on for electric long-haul traffic. The proposed approach integrates Open Street Maps data with traffic flows to identify strategic locations for charging stations, minimizing the total number while maximizing coverage and utility for long-haul freight transport. The results show that the strategic placement of charging stations could reduce initially developed sites by 36% compared to previous work while still ensuring 93.8% coverage of domestic long-haul traffic in Germany. The proposed ramp-up strategy improves coverage during the phase-in of electric long-haul transport by up to 58.7%, thereby contributing to the EU's emission reduction targets. This approach facilitates a cost-effective transition to electric freight transport and establishes a scalable model for EU-wide implementation.
UR - https://www.scopus.com/pages/publications/105001670396
U2 - 10.1109/ITSC58415.2024.10920217
DO - 10.1109/ITSC58415.2024.10920217
M3 - Conference contribution
AN - SCOPUS:105001670396
T3 - IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
SP - 1594
EP - 1599
BT - 2024 IEEE 27th International Conference on Intelligent Transportation Systems, ITSC 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 24 September 2024 through 27 September 2024
ER -