Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms

Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations is crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison are the energy consumption, throughput, and the energy efficiency of the routes generated by various methods, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal Vehicle Routing framework. By analyzing energy consumption, throughput and efficiency, the paper highlights the most effective strategies for integrating charger identification into Optimal Vehicle Routing algorithms, contributing to more reliable and efficient logistics operations.