On Optimal Battery Sizing for Electric Vehicles
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866929554305581056 |
|---|---|
| author | Wieberneit, Felix Crisostomi, Emanuele Quinn, Anthony Hamedmoghadam, Homayoun Ferraro, Pietro Shorten, Robert |
| author_facet | Wieberneit, Felix Crisostomi, Emanuele Quinn, Anthony Hamedmoghadam, Homayoun Ferraro, Pietro Shorten, Robert |
| contents | In this paper, we introduce a quantitative framework to optimize electric vehicle (EV) battery capacities, considering two criteria: upfront vehicle cost and charging inconvenience cost. For this purpose, we (1) develop a comprehensive model for charging inconvenience costs, incorporating both charging time and detours, improving on existing studies, (2) show, through extensive simulations and analytical models, how charging inconvenience cost is affected by different battery capacity and charging infrastructure configurations, (3) introduce an optimisation framework to determine optimal battery capacities based on charging inconvenience and vehicle cost, and (4) show that optimal battery capacities can be influenced by strategic investments in charging infrastructure and tax/incentive policies. The proposed framework provides actionable insights into the sustainable design of EV systems, supporting the development of cost-effective and convenient electric mobility solutions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16997 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | On Optimal Battery Sizing for Electric Vehicles Wieberneit, Felix Crisostomi, Emanuele Quinn, Anthony Hamedmoghadam, Homayoun Ferraro, Pietro Shorten, Robert Systems and Control In this paper, we introduce a quantitative framework to optimize electric vehicle (EV) battery capacities, considering two criteria: upfront vehicle cost and charging inconvenience cost. For this purpose, we (1) develop a comprehensive model for charging inconvenience costs, incorporating both charging time and detours, improving on existing studies, (2) show, through extensive simulations and analytical models, how charging inconvenience cost is affected by different battery capacity and charging infrastructure configurations, (3) introduce an optimisation framework to determine optimal battery capacities based on charging inconvenience and vehicle cost, and (4) show that optimal battery capacities can be influenced by strategic investments in charging infrastructure and tax/incentive policies. The proposed framework provides actionable insights into the sustainable design of EV systems, supporting the development of cost-effective and convenient electric mobility solutions. |
| title | On Optimal Battery Sizing for Electric Vehicles |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2410.16997 |