A Predictive Energy Management Strategies for Mining Dump Trucks

作     者：Yixuan Yu Yulin Wang Qingcheng Li Bowen Jiao 

作者机构：College of Mechanical and Electrical EngineeringQingdao UniversityQingdao266071China 

出 版 物：《Energy Engineering》 (能源工程（英文）)

年 卷 期：2024年第121卷第3期

页      面：769-788页

核心收录：

学科分类：08[工学] 080204[工学-车辆工程] 0802[工学-机械工程] 

主　　题：Mining dump truck energy management strategy plug-in hybrid electric vehicle equivalent consumption minimization strategy dynamic programming 

摘      要：The plug-in hybrid vehicles(PHEV)technology can effectively address the issues of poor dynamics and higher energy consumption commonly found in traditional mining dump trucks.Meanwhile,plug-in hybrid electric trucks can achieve excellent fuel economy through efficient energy management strategies(EMS).Therefore,a series hybrid system is constructed based on a 100-ton mining dump truck in this paper.And inspired by the dynamic programming(DP)algorithm,a predictive equivalent consumption minimization strategy(P-ECMS)based on the DP optimization result is proposed.Based on the optimal control manifold and the SOC reference trajectory obtained by the DP algorithm,the P-ECMS strategy performs real-time stage parameter optimization to obtain the optimal equivalent factor(EF).Finally,applying the equivalent consumption minimization strategy(ECMS)realizes real-time control.The simulation results show that the equivalent fuel consumption of the P-ECMS strategy under the experimentally collected mining cycle conditions is 150.8 L/100 km,which is 10.9%less than that of the common CDCS strategy(169.3 L/100 km),and achieves 99.47%of the fuel saving effect of the DP strategy(150 L/100 km).