Sensitivity Analysis of an Optimal Design Methodology for Hybrid Power System
| Autor: | Toufik Azib, Francisco Alves, Olivier Bethoux, Adriano Ceschia |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Optimal design
Computer science media_common.quotation_subject 020208 electrical & electronic engineering Particle swarm optimization 020302 automobile design & engineering Control engineering 02 engineering and technology Adaptability 0203 mechanical engineering Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Sensitivity (control systems) Hybrid power Design methods Driving cycle media_common |
| Zdroj: | CoDIT |
| Popis: | The aim of this paper is to present a sensitivity study performed during the development of an Optimal Design Methodology for hybrid power architecture in transport application. This methodology is based on an interaction between Particle Swarm Optimization for sizing component and Optimal Command theory for energy strategy and saving. The sensitivity study helps to demonstrate the relevance of this global approach according to the large search space design by considering several external conditions. This work shows the adaptability of the Optimal approach by proving the robustness regarding the external influences, particularly the variation of the driving cycle The use case will be a Fuel-Cell Battery parallel architecture with several driving cycles. |
| Databáze: | OpenAIRE |
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