Prissättning av offentliga elbilsladdare – en marknadsmodellering

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Examensarbete på kandidatnivå
Bachelor Thesis

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This thesis investigates how dynamic pricing influences profitability and utilization at public fast-charging stations for electric vehicles. As electric vehicle adoption increases, efficient management of charging demand and competitive pricing strategies may become essential for charge point operators. The study uses an agent-based model to simulate fast-charging stations along a highway, capturing interactions between demand fluctuations, competition and customer behavior. The model evaluates how static versus dynamic pricing strategies impact user distribution, queue times, station utilization, and operator profitability under varying market conditions. Key findings indicate that dynamic pricing can lower average customer costs, slightly reduce queues, and give early adopters a competitive edge when it comes to profitability under competitive market situations. In the case of a matured market where dynamic pricing has become the norm for operators, adopting a dynamic price model may become essential to remain competitive. For maximum effectiveness, pricing strategies should be adapted to customer segments and local competition, and complemented by capacity planning during peak periods.

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electric vehicles, fast charging, agent-based modeling, dynamic pricing, utilization, profitability, charging infrastructure, competition, customer behavior

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