Hybrid Energy Storage to Control and Optimize Electric Propulsion Systems

作     者：Sikander Hans Smarajit Ghosh Suman Bhullar Aman Kataria Vinod Karar Divya Agrawal 

作者机构：Department of Electrical and Instrumentation EngineeringThapar Institute of Engineering&TechnologyPatialaIndia Optical Devices and SystemsCSIR-Central Scientific Instruments OrganizationChandigarh 160030India 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第71卷第6期

页      面：6183-6200页

核心收录：

学科分类：1101[军事学-军事思想及军事历史] 08[工学] 0707[理学-海洋科学] 0824[工学-船舶与海洋工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Dynamic model of the ship elephant herding optimization energy management schemes propeller ultra-capacitor zebra batteries 

摘      要：Today,ship development has concentrated on electrifying ships in commercial and military applications to improve efficiency,support highpower missile systems and reduce emissions.However,the electric propulsion of the shipboard system experiences torque fluctuation,thrust,and power due to the rotation of the propeller shaft and the motion of waves.In order tomeet these challenges,a new solution is needed.This paper explores hybrid energy management systems using the battery and ultracapacitor to control and optimize the electric propulsion system.The battery type and ultracapacitor are ZEBRA and MAXWELL,respectively.The 3-,4-and 5-blade propellers are considered to produce power and move rapidly.The loss factor has been reduced,and the sea states have been found through the Elephant Herding Optimization algorithm.The efficiency of the proposed system is greatly enhanced through torque,thrust and power.The model predictive controller control strategy is activated to reduce load torque and drive system Root Average Square(RMS)error.The implementations are conducted under the MATLAB platform.The values for torque,current,power,and error are measured and plotted.Finally,the performance of the proposed methodology is compared with other available algorithms such as BAT and Dragonfly(DF).The simulation results show that the results of the proposed method are superior to those of various techniques and algorithms such as BAT and Dragonfly.