Supporting the Transition Towards Electromobility in the Construction and Mining Sector: Optimization Framework and Demonstration on an Electrical Hauler

DS 116: Proceedings of the DESIGN2022 17th International Design Conference

Year: 2022
Editor: Mario Štorga, Stanko Škec, Tomislav Martinec, Dorian Marjanović
Author: Raj Jiten Machchhar, Alessandro Bertoni
Series: DESIGN
Institution: Blekinge Institute of Technology, Sweden
Section: Artificial Intelligence and Data-Driven Design
Page(s): 1649-1658
DOI number:
ISSN: 2732-527X (Online)


The paper presents a framework for the integration of the system’s design variables, state variables, control strategies, and contextual variables into a design optimization problem to assist early-stage design decisions. The framework is based on a global optimizer incorporating Dynamic Programming, and its applicability is demonstrated by the conceptual design of an electrical hauler. Pareto front of optimal design solutions, in terms of time and cost, together with optimal velocity profiles and battery state-of-charge is visualized for the given mining scenario.

Keywords: systems engineering (SE), decision making, design optimisation, dynamic programming, early design phase

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