On Optimal Battery Sizing for Electric Vehicles
Felix Wieberneit, Emanuele Crisostomi, Anthony Quinn, Homayoun, Hamedmoghadam, Pietro Ferraro, Robert Shorten

TL;DR
This paper presents a quantitative framework for optimizing electric vehicle battery sizes by balancing upfront costs and charging inconvenience, incorporating new models and strategic infrastructure considerations.
Contribution
It introduces a comprehensive model for charging inconvenience costs and an optimization framework for battery sizing considering infrastructure and policy impacts.
Findings
Optimal battery sizes depend on charging infrastructure and policies.
Charging inconvenience significantly influences battery capacity decisions.
Strategic investments can reduce inconvenience and optimize costs.
Abstract
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…
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Taxonomy
TopicsAdvanced Battery Technologies Research · Electric Vehicles and Infrastructure · Electric and Hybrid Vehicle Technologies
