MATSim-based assessment of fast charging infrastructure needs for a full-electric passenger car fleet on long-distance trips in Sweden

Abstract

This paper assesses the fast-charging infrastructure requirements to satisfy all long-distance trips by fully electric passenger cars. The main goals of this study are developing an accurate model for electric vehicle (EV) owner trips and their charging behavior, identifying candidate charging station locations and the number of chargers per station for fast charging infrastructure based on the developed model. The transition to EVs is gaining momentum, but the success of this shift relies heavily on the availability and accessibility of charging infrastructure. Several aspects of the fast-charging infrastructure planning problem are investigated based on the developed multiagent model of EVs’ usage using MATSim. The main contribution of this study is the introduction of a novel methodology to identify candidate locations for fast-charging infrastructure needs based on the missing energy event (MEE) in the MATSim EVcontrib and its application to assess the fast-charging infrastructure needs for passenger cars in Sweden.