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Sustainability 2017, 9(10), 1874; doi:10.3390/su9101874

Multi-Objective Optimization of a Hybrid ESS Based on Optimal Energy Management Strategy for LHDs

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China
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Received: 10 September 2017 / Revised: 13 October 2017 / Accepted: 13 October 2017 / Published: 21 October 2017
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Abstract

Energy storage systems (ESS) play an important role in the performance of mining vehicles. A hybrid ESS combining both batteries (BTs) and supercapacitors (SCs) is one of the most promising solutions. As a case study, this paper discusses the optimal hybrid ESS sizing and energy management strategy (EMS) of 14-ton underground load-haul-dump vehicles (LHDs). Three novel contributions are added to the relevant literature. First, a multi-objective optimization is formulated regarding energy consumption and the total cost of a hybrid ESS, which are the key factors of LHDs, and a battery capacity degradation model is used. During the process, dynamic programming (DP)-based EMS is employed to obtain the optimal energy consumption and hybrid ESS power profiles. Second, a 10-year life cycle cost model of a hybrid ESS for LHDs is established to calculate the total cost, including capital cost, operating cost, and replacement cost. According to the optimization results, three solutions chosen from the Pareto front are compared comprehensively, and the optimal one is selected. Finally, the optimal and battery-only options are compared quantitatively using the same objectives, and the hybrid ESS is found to be a more economical and efficient option. View Full-Text
Keywords: load-haul-dump vehicle; multi-objective optimization; hybrid energy storage system; energy management strategy; parameter sizing; battery capacity loss load-haul-dump vehicle; multi-objective optimization; hybrid energy storage system; energy management strategy; parameter sizing; battery capacity loss
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Liu, J.; Jin, T.; Liu, L.; Chen, Y.; Yuan, K. Multi-Objective Optimization of a Hybrid ESS Based on Optimal Energy Management Strategy for LHDs. Sustainability 2017, 9, 1874.

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