Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | , , , , , , |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
| _version_ | 1866910902708600832 |
|---|---|
| author | Shiledar, Ankur Villani, Manfredi Lucero, Joseph N. E. Sun, Ruixiao Sujan, Vivek A. Onori, Simona Rizzoni, Giorgio |
| author_facet | Shiledar, Ankur Villani, Manfredi Lucero, Joseph N. E. Sun, Ruixiao Sujan, Vivek A. Onori, Simona Rizzoni, Giorgio |
| contents | The electrification of heavy-duty vehicles is a critical pathway towards improved energy efficiency of the freight sector. The current battery electric truck technology poses several challenges to the operations of commercial vehicles, such as limited driving range, sensitivity to climate conditions, and long recharging times. Estimating the energy consumption of heavy-duty electric trucks is crucial to assess the feasibility of the fleet electrification and its impact on the electric grid. This paper focuses on developing a model-based simulation approach to predict and analyze the energy consumption of drayage trucks used in ports logistic operations, considering seasonal climate variations and geographical characteristics. The paper includes results for three major container ports within the United States, providing region-specific insights into driving range, payload capacity, and charging infrastructure requirements, which will inform decision-makers in integrating electric trucks into the existing drayage operations and plan investments for electric grid development. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_02575 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks Shiledar, Ankur Villani, Manfredi Lucero, Joseph N. E. Sun, Ruixiao Sujan, Vivek A. Onori, Simona Rizzoni, Giorgio Systems and Control The electrification of heavy-duty vehicles is a critical pathway towards improved energy efficiency of the freight sector. The current battery electric truck technology poses several challenges to the operations of commercial vehicles, such as limited driving range, sensitivity to climate conditions, and long recharging times. Estimating the energy consumption of heavy-duty electric trucks is crucial to assess the feasibility of the fleet electrification and its impact on the electric grid. This paper focuses on developing a model-based simulation approach to predict and analyze the energy consumption of drayage trucks used in ports logistic operations, considering seasonal climate variations and geographical characteristics. The paper includes results for three major container ports within the United States, providing region-specific insights into driving range, payload capacity, and charging infrastructure requirements, which will inform decision-makers in integrating electric trucks into the existing drayage operations and plan investments for electric grid development. |
| title | Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2504.02575 |