Title: Parameter matching of composite power supply for mining vehicle oriented by maximising braking energy recovery

Authors: Yilin Wang; Weiwei Yang; Yaodong Yang; Wenming Zhang

Addresses: School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China ' School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

Abstract: Due to the rugged driving conditions, the current of the mining dump truck changes violently during operation, and there is an instantaneous high current charge/discharge, which affects the feedback efficiency and battery life. Therefore, aiming at the demand of braking energy recovery of NTE150 hybrid electric mine truck, this paper studies the parameter matching problem of the mining truck with the power battery and supercapacitor as composite power supply. Firstly, the parameter matching method of the composite power supply according to rules is given. Then the composite power supply parameters are optimised using a multi-objective genetic algorithm with the mining truck's load capacity and the power battery loss as evaluation indexes. Secondly, compared with the rule-based configuration scheme, the optimised configuration scheme decreases the power battery loss by 5.28% and the total weight of the energy storage device by 30.92%.

Keywords: mining dump truck; braking energy recovery; parameter matching of composite power supply; multi-objective optimisation; energy management strategies; energy saving.

DOI: 10.1504/IJHVS.2023.133372

International Journal of Heavy Vehicle Systems, 2023 Vol.30 No.4, pp.476 - 499

Received: 12 May 2022
Accepted: 23 Jul 2022
Published online: 14 Sep 2023 *

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