Supporting the Transition Towards Electromobility in the Construction and Mining Sector: Optimization Framework and Demonstration on an Electrical Hauler. (May 2022)

• Record Type: Journal Article
• Authors: Machchhar, R. J.; Bertoni, A.
• Is Part Of: Proceedings of the Design Society. Volume 2(2022)
• Page Start: 1649
• Page End: 1658
• Publication Date: 2022-05
• Subjects: systems engineering (SE) -- decision making -- design optimisation -- dynamic programming -- early design phase; Industrial design -- Congresses; Engineering design -- Congresses; 620.0042
• DOI: 10.1017/pds.2022.167
• Languages: English
• ISSNs: 2633-7762

Abstract

Abstract: 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.