On tackling non-linear charging functions in the electric vehicle routing problem

Abstract The increasing integration of electric vehicles into transportation fleets poses new challenges in the classical Vehicle Routing Problem, primarily due to the nonlinearity of the battery charging process. In the literature, the piecewise linear approximation and a formulation based on paths of charging stations are established approaches to deal with this complex function. In this paper, we address the Electric Vehicle Routing Problem using a realistic non-linear charging function, and we present an alternative exact method of linearising it by using Perspective Cuts. Additionally, we present a preprocessing algorithm for the elimination of dominated paths, i.e., paths that cannot be present in an optimal solution. The logic of our preprocessing, unlike previous methods, does not depend on the piecewise linear approximation. The proposed methods are validated through computational experiments on benchmark instances, demonstrating their effectiveness in improving model accuracy while maintaining computational tractability.

Authors

Institutions

Publication Details

Journal
Optimization Letters
Published
2026-06-12
DOI
https://doi.org/10.1007/s11590-026-02319-4
Primary Topic
Vehicle Routing Optimization Methods
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On tackling non-linear charging functions in the electric vehicle routing problem

Emanuele Pizzari, Tiziano Bacci, Claudio Gentile
Optimization Letters
Vehicle Routing Optimization Methods
article

On tackling non-linear charging functions in the electric vehicle routing problem

Emanuele Pizzari, Tiziano Bacci, Claudio Gentile
article en

Abstract

Abstract The increasing integration of electric vehicles into transportation fleets poses new challenges in the classical Vehicle Routing Problem, primarily due to the nonlinearity of the battery charging process. In the literature, the piecewise linear approximation and a formulation based on paths of charging stations are established approaches to deal with this complex function. In this paper, we address the Electric Vehicle Routing Problem using a realistic non-linear charging function, and we present an alternative exact method of linearising it by using Perspective Cuts. Additionally, we present a preprocessing algorithm for the elimination of dominated paths, i.e., paths that cannot be present in an optimal solution. The logic of our preprocessing, unlike previous methods, does not depend on the piecewise linear approximation. The proposed methods are validated through computational experiments on benchmark instances, demonstrating their effectiveness in improving model accuracy while maintaining computational tractability.

Optimization Letters
Istituto per le Applicazioni del Calcolo Mauro Picone (IT), Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti (IT)
Consiglio Nazionale delle Ricerche
Openalex Percentile: Top 6%
Vehicle Routing Optimization Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

On tackling non-linear charging functions in the electric vehicle routing problem — Emanuele Pizzari, Tiziano Bacci, et al. · Optimization Letters (2026) | TGRS Research Map | TGRS