Endurance driven energy management system for all-electric marine autonomous surface vehicle

Zaman, Taimur and Syed, Mazheruddin Hussain and Burt, Graeme and Wahoud, Ali and Gobbo, Gianfranco and Millard, Garry and Malagodi, Stefano (2022) Endurance driven energy management system for all-electric marine autonomous surface vehicle. In: 48th Annual Conference of the IEEE Industrial Electronics Society, 2022-10-17 - 2022-10-20, Belgium. (In Press)

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Abstract

An autonomous eco-robotic Surface Vessel (ASV) is designed to operate in extreme weather conditions with an autonomy of several days or months. This research work aims to present a process for on-board power management between the vessel’s power sources, while maximizing the use of Renewable Energy Sources (RES) and taking into consideration onboard sensor, navigation and control and data transfer power requirements. A detailed architecture for a DC network integrating Photovoltaic (PV) panels, Fuel Cells (FCs), hydro generator and energy storage systems is developed. An efficient and flexible Energy Management System (EMS) is developed for managing power sources and maximising endurance using only clean energy. To assess the performance of EMS in meeting the energy demands of the Ocean drone’s equipment and propulsion systems, a simulation-based analysis is carried out for realistic missions and scenarios. The developed EMS strategy intends to harvest the energy from PV and hydrogenerator while maintaining the Battery Energy Storage Systems (BESS) as charged as possible. The developed power supply system architecture and EMS can jointly accommodate the need for efficient and long-lasting operation of the vessel with CO2-emission free energy sources.

ORCID iDs

Zaman, Taimur ORCID logoORCID: https://orcid.org/0000-0002-4319-7072, Syed, Mazheruddin Hussain ORCID logoORCID: https://orcid.org/0000-0003-3147-0817, Burt, Graeme ORCID logoORCID: https://orcid.org/0000-0002-0315-5919, Wahoud, Ali, Gobbo, Gianfranco, Millard, Garry and Malagodi, Stefano;
  • Item type:Conference or Workshop Item(Paper)
    ID code:81714
    Dates:
    Date
    Event
    20 July 2022
    Published
    20 July 2022
    Accepted
    Keywords:electric vehicle (EV), fuel cells, energy management system, battery based energy storage systems, PID control strategy, autonomous shipping vessels, Electrical Engineering. Electronics Nuclear Engineering, Electrical and Electronic Engineering, SDG 7 - Affordable and Clean Energy, SDG 13 - Climate Action, SDG 14 - Life Below Water
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:04 Aug 2022 10:46
    Last modified:12 Apr 2023 01:56
    URI:https://strathprints.strath.ac.uk/id/eprint/81714
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