Sizing and Dynamic modeling of a Power System for the MUN Explorer Autonomous Underwater Vehicle using a Fuel Cell and Batteries
Mohamed M. Albarghot, M. Tariq Iqbal, Kevin Pope, Luc Rolland

TL;DR
This paper explores integrating a fuel cell with batteries in an AUV to enhance power capacity, reduce recharge time, and improve operational efficiency, supported by system sizing and dynamic modeling.
Contribution
It presents a novel integrated power system design for an AUV combining fuel cells and batteries, with system sizing via HOMER and dynamic analysis in MATLAB/Simulink.
Findings
Fuel cell integration increases power capacity to 68 kWh.
System sizing suggests 1kW fuel cell and 8 batteries are optimal.
Dynamic model demonstrates system behavior and voltage regulation.
Abstract
The combination of a fuel cell and batteries has promising potential for powering autonomous vehicles. The MUN Explorer Autonomous Underwater Vehicle (AUV) is built to do mapping-type missions of seabeds as well as survey missions. These missions require a great deal of power to reach underwater depths (i.e. 3000 meters). The MUN Explorer uses 11 rechargeable Lithium-ion (Li-ion) batteries as the main power source with a total capacity of 14.6kWh to 17.952kWh, and the vehicle can run for 10 hours. The draw-backs of operating the existing power system of the MUN Explorer, which was done by the researcher at the Holyrood management facility, include mobilization costs, logistics and transport, and facility access, all of which should be taken into consideration. Recharging the batteries for at least 8 hours is also very challenging and time consuming. To overcome these challenges and run…
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