Evaluation Framework of Next Generation Electric Trucks

  • Dimitris Margaritis*
  • , Lukasz Zymelka
  • , Hans Michael Koegeler
  • , Leo Xanakis
  • , Sophie Naylor
  • , Victor Lejona
  • , Jorden Vander Hoogt
  • , Daanvan Rooij
  • , Iban Vicente Makazaga
  • , Dai Duong Tran
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

To measure the success of a research and development project and assess its impact, an evaluation methodology has to be established. The proposed methodology in the NextETRUCK project follows best practices in validation and draws on insights from previous support projects such as CONVERGE and FESTA. It outlines a set of research hypotheses and associated goals for different innovation aspects of the project, forming the basis for evaluation. Key elements of this evaluation plan include defining Key Performance Indicators (KPIs). A total of 28 KPIs have been identified, covering areas such as vehicle and charging performance, digital tools, driver/fleet operator experiences, and market/total cost of ownership considerations. These KPIs can be measured during the demonstration and digital twin operations, using both quantitative and qualitative measures. Objective data, subjective evaluations, and inputs such as vehicle data, questionnaires, and driver interviews can all contribute to the assessment. The evaluation plan takes a structured approach, detailing each KPI’s description, assessment methods, parameters, and necessary information to address potential risks and challenges during the evaluation phase.

Original languageEnglish
Title of host publicationLecture Notes in Intelligent Transportation and Infrastructure
PublisherSpringer Nature
Pages666-682
Number of pages17
DOIs
Publication statusPublished - 2025

Publication series

NameLecture Notes in Intelligent Transportation and Infrastructure
VolumePart F154
ISSN (Print)2523-3440
ISSN (Electronic)2523-3459

Keywords

  • Electric Trucks
  • Impact Assessment
  • Key Performance Indicators (KPIs)
  • Vehicle Evaluation

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