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

Sustainability

Li Liu¹  Yajue Chen¹  Kun Yuan¹  Tianxu Jin¹  Jiajun Liu¹ 

[1] School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;

关键词: load-haul-dump vehicle;    multi-objective optimization;    hybrid energy storage system;    energy management strategy;    parameter sizing;    battery capacity loss;   

DOI  :  10.3390/su9101874

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown