Unmanned Surface Sea Vehicle Power System Design and Modeling

Abstract

Unmanned Surface Vehicles (USVs) can serve the roles of providing Intelligence, Surveillance and Reconnaissance (USR) to a fleet as well as performing Mine Countermeasure (MCM) missions. Many of these missions require some period of low observable/stealth mode operation of the USV. The focus of this report is design and modeling of a hybrid power system to meet the mission power requirement profiles. The power system of the USV is chosen to be a hybrid power source comprising a diesel generator and a lithium-ion battery pack Optimal sizing of the diesel generator and battery pack is important for ensuring successful USV missions. This report describes the characterization and modeling of 70 Ah Kokam cells using fuzzy logic analysis of the experimental data to accurately estimate the SOC, power available and the terminal voltage of this Li-Ion battery. We also describe fuzzy logic-based modeling of a diesel generator. The power required to propel the USV was estimated from a planing hull drag model. These models were combined in a complete power system level model and used to design a hybrid power system to meet both the ISR and MCM missions for an 11m USV.

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Document Details

Document Type
Technical Report
Publication Date
Nov 29, 2005
Accession Number
ADA442011

Entities

People

  • Singh Pritpal

Organizations

  • Villanova University

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Battery Chargers
  • Cells
  • Electric Vehicles
  • Electrical Engineering
  • Energy
  • Energy Storage
  • Engineering
  • Fuzzy Logic
  • Fuzzy Sets
  • Hybrid Electric Vehicles
  • Hybrid Power
  • Mathematical Models
  • Research Facilities
  • Set Theory
  • Simulations
  • Unmanned Surface Vehicles
  • Unmanned Vehicles

Fields of Study

  • Physics

Readers

  • Battery Technology and Engineering
  • Energy Conservation and Renewable Energy Engineering.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy