Multi-Objective Optimization of a Hybrid ESS Based on Optimal Energy Management Strategy for LHDs
AbstractEnergy 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
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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.
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(10):1874.Chicago/Turabian Style
Liu, Jiajun; Jin, Tianxu; Liu, Li; Chen, Yajue; Yuan, Kun. 2017. "Multi-Objective Optimization of a Hybrid ESS Based on Optimal Energy Management Strategy for LHDs." Sustainability 9, no. 10: 1874.
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