Molina-Cristóbal, A and Palmer, PR and Parks, GT (2011) Multi-fidelity simulation modelling in optimization of a hybrid submarine propulsion system. In: UNSPECIFIED.Full text not available from this repository.
Multi-objective Genetic Algorithms have become a popular choice to aid in optimising the size of the whole hybrid power train. Within these optimisation processes, other optimisation techniques for the control strategy are implemented. This optimisation within an optimisation requires many simulations to be run, so reducing the computational cost is highly desired. This paper presents an optimisation framework consisting of a series hybrid optimisation algorithm, in which a global search optimizes a submarine propulsion system using low-fidelity models and, in order to refine the results, a local search is used with high-fidelity models. The effectiveness of the Hybrid optimisation algorithm is demonstrated with the optimisation of a submarine propulsion system. © 2011 EPE Association - European Power Electr.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Uncontrolled Keywords:||Electrical drive Electrical machine Energy system management Hybrid power int egration Simulation|
|Divisions:||Div A > Energy|
|Depositing User:||Cron job|
|Date Deposited:||16 Jul 2015 14:11|
|Last Modified:||29 Aug 2015 03:20|