Optimal energy efficiency control framework for distributed drive mining truck power system with hybrid energy storage: A vehicle-cloud integration approach

Qingsong Tang, Manjiang Hu, Yougang Bian, Yuke Wang, Zhiyong Lei, Xiaoyan Peng and Keqiang Li

Applied Energy, 2024, vol. 374, issue C, No S0306261924013722

Abstract: The four-wheel distributed drive pure electric mining truck, featuring a hybrid energy storage system with battery and supercapacitor, is a promising solution for achieving zero-emission in the transportation process of open-pit mines. The challenge of precisely coordinating and controlling key components such as battery, supercapacitor, and motor to fully unleash their energy-saving potential under complex and harsh off-road conditions is an urgent issue that needs to be addressed. This paper innovatively adopts a new perspective of minimizing global energy transfer chain losses and proposes a mining truck energy efficiency optimization control framework based on vehicle-cloud integration to exploit the energy-saving potential of mining trucks. Furthermore, the proposed control strategy is simulated and compared with the baseline control strategy based on typical mining truck operating conditions. The results indicate that the proposed control strategy effectively maximizes the vehicle's energy efficiency, resulting in an annual reduction of 356,864 RMB in the comprehensive operational cost per mining truck and increasing the energy-saving economic efficiency by 2.7%. These achievements hold promise for propelling the energy efficiency optimization of pure electric mining trucks, which bears significant implications for the construction of a clean and low-carbon open-pit mining transportation system.

Keywords: Four-wheel distributed drive pure electric mining truck; Hybrid energy storage system; Optimal energy efficiency control strategy; Vehicle-cloud integration (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.apenergy.2024.123989

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