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Tech & AI 4.4

New algorithm cuts electric truck charging costs by more than one-third

Researchers have developed a scheduling system that reduces the expense of charging electric trucks during peak periods by 36%, primarily by minimizing battery wear and wait times. For logistics companies racing to electrify fleets, the finding suggests significant operational savings are within reach through smarter coordination of charging infrastructure.

Originaltitel: En-route Charging Coordination for Electric Trucks

Abstrakt

<p>The electrification of long-haul freight transport introduces several new challenges, such as the limited capacity and congestion at en-route charging infrastructure. To reduce waiting times during peak periods, this paper proposes a framework for coordinated charging scheduling. The approach employs a mixed-integer formulation to optimize charging-related costs across charging, operation, battery degradation, and congestion delay, considering a range of scenarios. The results demonstrate that coordinated scheduling yields substantial cost savings up to 36% compared to uncoordinated scheduling, particularly by reducing battery degradation and delay costs.</p>

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