Evaluation of energy management strategies for fuel cell/battery-powered underwater vehicles against field trial data. (May 2022)

• Record Type: Journal Article
• Authors: Deutsch, Clemens; Chiche, Ariel; Bhat, Sriharsha; Lagergren, Carina; Lindbergh, Göran; Kuttenkeuler, Jakob
• Is Part Of: Energy conversion and management. X. Volume 14(2022)
• Publication Date: 2022-05
• Subjects: Autonomous underwater vehicle (AUV) -- Fuel cell -- Hybrid -- Energy management strategies
• DOI: 10.1016/j.ecmx.2022.100193
• Languages: English
• ISSNs: 2590-1745

Abstract

Highlights: Evaluation of Energy Management Strategies (EMS) against field trial data. Fuel cell/battery-hybrid power system is modelled in Simulink®. Performance criteria include energy efficiency, degradation and power reliability. Choice of EMS depends on character of mission: high-autonomy missions require more complex EMS. Abstract: This study combines high-fidelity simulation models with experimental power consumption data to evaluate the performance of Energy Management Strategies (EMS) for fuel cell/battery hybrid Autonomous Underwater Vehicles (AUV). The performance criteria are energy efficiency, power reliability and system degradation. The lack of standardized drive cycles is met by the cost-efficient solution of synthesizing power profiles from sampled AUV field trial data. Three power profiles are used to evaluate finite-state machine, fuzzy logic and two optimization-based EMS. The results reveal that there is a trade-off between the objectives. The rigidity of the EMS determines its load-following behavior and consequently the performance regarding the objectives. Rule-based methods are particularly suitable to design energy-efficient operations, whereas optimization-based methods can easily be tuned to provide power reliability through load-following behavior. Both classes of EMS can be best-choice methods for different types of missions.