You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)

  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)

  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required

  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

A Simulation Platform for Battery-Aware Operation and Energy Optimization of Electric Off-Road Vehicles

Publication Type:

Conference/Workshop Paper

Venue:

Resilient-Applied Energy Symposium and Forum: Resilient energy systems

Publisher:

Energy Proceedings


Abstract

This paper presents a simulation platform developed to support battery-aware operation and energy optimization of electric off-road vehicles used in quarry environments. The platform integrates Monte Carlo simulations of hauling with battery degradation models to assess the impact of different charging strategies and duty cycles on energy consumption and battery health. By simulating various operating scenarios, the platform enables analysis of hybrid charging policies, such as cycle-based and max-based charging, for both small and large quarry operations. The results demonstrate how informed operational planning can improve energy efficiency and contribute to more resilient and sustainable industrial transport systems.

Bibtex

@inproceedings{Fattouh7270,
author = {Anas Fattouh and Erik Dahlquist and Koteshwar Chirumalla and Abdulkarim Habbab},
title = {A Simulation Platform for Battery-Aware Operation and Energy Optimization of Electric Off-Road Vehicles},
isbn = {2004-2965},
month = {December},
year = {2025},
booktitle = {Resilient-Applied Energy Symposium and Forum: Resilient energy systems },
publisher = {Energy Proceedings},
url = {http://www.ipr.mdu.se/publications/7270-}
}