Time vs. Capacity—The Potential of Optimal Charging Stop Strategies for Battery Electric Trucks

Maximilian Zähringer (), Sebastian Wolff, Jakob Schneider, Georg Balke and Markus Lienkamp
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Maximilian Zähringer: Institute of Automotive Technology, Technical University Munich, Boltzmannstraße 15, 85748 Garching, Germany
Sebastian Wolff: Institute of Automotive Technology, Technical University Munich, Boltzmannstraße 15, 85748 Garching, Germany
Jakob Schneider: Institute of Automotive Technology, Technical University Munich, Boltzmannstraße 15, 85748 Garching, Germany
Georg Balke: Institute of Automotive Technology, Technical University Munich, Boltzmannstraße 15, 85748 Garching, Germany
Markus Lienkamp: Institute of Automotive Technology, Technical University Munich, Boltzmannstraße 15, 85748 Garching, Germany

Energies, 2022, vol. 15, issue 19, 1-18

Abstract: The decarbonization of the transport sector, and thus of road-based transport logistics, through electrification, is essential to achieve European climate targets. Battery electric trucks offer the greatest well-to-wheel potential for CO 2 saving. At the same time, however, they are subject to restrictions due to charging events because of their limited range compared to conventional trucks. These restrictions can be kept to a minimum through optimal charging stop strategies. In this paper, we quantify these restrictions and show the potential of optimal strategies. The modeling of an optimal charging stop strategy is described mathematically as an optimization problem and solved by a genetic algorithm. The results show that in the case of long-distance transport using trucks with battery capacities lower than 750 kWh, a time loss is to be expected. However, this can be kept below 20 min for most battery capacities by optimal charging stops and sufficient charging infrastructure.

Keywords: transport electrification; battery electric trucks; operation strategy; charging strategy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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