Multi-objective design optimisation of submarine electric drive systems

被引:5
|
作者
Skinner, Benjamin A. [1 ]
Palmer, Patrick R. [2 ]
Parks, Geoffrey T. [1 ]
机构
[1] Univ Cambridge, Dept Engn, EDC, Cambridge CB2 1TN, England
[2] Univ Cambridge, Dept Engn, Power Grp, Cambridge, England
关键词
energy efficiency; hybrid drive; Integrated Electric Propulsion (IEP); multi-objective genetic algorithms (MOGA); underwater vehicle propulsion;
D O I
10.1109/ESTS.2007.372065
中图分类号
P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The design of an Integrated Electric Propulsion (EEP) system is considered for naval submarine propulsion. A multi-objective genetic algorithm is used to explore potential EEP topologies and designs, including direct-drive, geared-drive and hybrid steam-turbine/electric drive. Typical submarine mission scenarios are simulated and trade-offs in performance are investigated. Compromises in propeller and electric motor efficiency are found, as are large discrepancies in electric motor technology and the technology required for the realisation of direct-electrical propulsion. Multiple electric motors and a hybrid drive approach are found to reduce this discrepancy to an extent that IEP becomes a feasible propulsion option.
引用
收藏
页码:65 / +
页数:2
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