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  4. Quantifying the impact of fleet planning re-optimization on truck electrification in distribution logistics
 
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2026
Journal Article
Title

Quantifying the impact of fleet planning re-optimization on truck electrification in distribution logistics

Abstract
Electrifying heavy-duty truck fleets is critical for decarbonization, yet several cutting-edge approaches are based on historical diesel plans which do not account for electric truck characteristics. Such one-to-one replacement of diesel trucks without adapting operational plans may thus underestimate the technical and economic feasibility of battery electric trucks. To better understand the potential for fleet-level optimization, we compare a one-to-one replacement strategy against a holistic re-optimization approach that jointly solves for fleet composition, shipment-to-vehicle allocation, vehicle routing, and charge scheduling. Using real-world data from German grocery logistics (~38,000 shipments), we find that re-optimization unlocks significantly higher electrification potential and economic performance. It increases the electrifiable payload from 48% to 85% and doubles the fleet-level cost reduction (7.0% vs. 3.5%) compared to the optimized diesel baseline. These results demonstrate that maximizing electric fleet viability requires moving beyond simple hardware substitution to fundamentally restructuring operational logistics.
Author(s)
Zackrisson, Anton
Linköping University, Department of Management and Engineering
Engholm, Albin
Einride AB, Stockholm
Bengtsson, Tilde
Einride AB, Stockholm
Link, Steffen  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Plötz, Patrick  orcid-logo
Fraunhofer-Institut für System- und Innovationsforschung ISI  
Journal
npj Sustainable Mobility and Transport  
Open Access
File(s)
Download (1.3 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1038/s44333-026-00091-7
10.24406/publica-8298
Additional link
Full text
Language
English
Fraunhofer-Institut für System- und Innovationsforschung ISI  
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