Investigating the impact of energy source level on the self-guided vehicle system performances, in the Industry 4.0 context

Graba, M., Kelouwani, S., Zeghmi, L., Amamou, A., Agbossou, K. et Mohammadpour, M. (2020). Investigating the impact of energy source level on the self-guided vehicle system performances, in the Industry 4.0 context. Sustainability, 12 (20). p. 8541. ISSN 2071-1050 DOI 10.3390/su12208541

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Résumé

Automated industrial vehicles are taking an imposing place by transforming the industrial operations, and contributing to an efficient in-house transportation of goods. They are expected to bring a variety of benefits towards the Industry 4.0 transition. However, Self-Guided Vehicles (SGVs) are battery-powered, unmanned autonomous vehicles. While the operating durability depends on self-path design, planning energy-efficient paths become crucial. Thus, this paper has no concrete contribution but highlights the lack of energy consideration of SGV-system design in literature by presenting a review of energy-constrained global path planning. Then, an experimental investigation explores the long-term effect of battery level on navigation performance of a single vehicle. This experiment was conducted for several hours, a deviation between the global trajectory and the ground-true path executed by the SGV was observed as the battery depleted. The results show that the mean square error (MSE) increases significantly as the battery’s state-of-charge decreases below a certain value.

Type de document:	Article
Mots-clés libres:	Energy-awareness Industry 4.0 Energy resource management Trajectory planning Self-guided vehicle SGV-system Sustainability
Date de dépôt:	12 avr. 2023 12:26
Dernière modification:	12 avr. 2023 12:26
Version du document déposé:	Version officielle de l'éditeur
URI:	https://depot-e.uqtr.ca/id/eprint/10630

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