Title: Research on a collaborative optimisation strategy for the component parameters and control parameters of hybrid mining trucks

Authors: Hongliang Li; Lihua Shang

Addresses: Institute of Mining and Coal, Inner Mongolia University of Science and Technology, No. 7, Alding Street, Kundulun District, Baotou City, Inner Mongolia Autonomous Region, 014010, China ' School of Economics and Management, Inner Mongolia University of Science and Technology, No. 7, Alding Street, Kundulun District, Baotou City, Inner Mongolia Autonomous Region,014010, China

Abstract: Considering the interactive effects of component parameters, energy management control parameters, and driving conditions on energy use optimisation in hydraulic hybrid mining trucks, synchronous-control and nested-control collaborative design strategy models were established to jointly optimise the component and control coupling parameters, and their performances were analysed. For fairness, the same combination optimisation algorithm and vehicle model were used for both optimisation strategies, and suitable energy management strategies were selected for each. Both strategies could quickly perform global searches, locate effective regions, and use combination algorithms that quickly converge. The nested-control strategy yielded better results than the synchronous-control strategy. The results of both strategies were better than those of the optimal parameter combination, indicating that the combination optimisation algorithm was effective. However, using this algorithm and a high-configuration algorithm with the synchronous-control strategy significantly improved the results despite increasing time costs. Such an improvement was not found for nested control.

Keywords: hydraulic hybrid mining truck; synchronous-control collaborative design strategy; nested-control collaborative design strategy; coupling parameters; collaborative optimisation.

DOI: 10.1504/IJVD.2024.143975

International Journal of Vehicle Design, 2024 Vol.96 No.2, pp.106 - 129

Received: 11 Sep 2023
Accepted: 04 Sep 2024
Published online: 16 Jan 2025 *

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