Towards an Intelligent Energy Monitoring System for Autonomous Underwater Vehicles

In this thesis, we develop an approach to characterizing the uncertainty in energy use toward development of a real-time intelligent energy monitoring system for an autonomous under- water vehicle (AUV). The purpose of the intelligent energy monitoring system is to estimate current energy onboard the AUV, estimate energy needed to complete a desired mission, and to determine if and when the AUV should terminate the current mission and return to the recovery location due low energy reserves. In this work, we examine the relationship between water currents and energy used by the AUV, and we specifically address ways to characterize the relationship between uncertainty in water currents and uncertainty in energy use. We also examine the development of a battery model for the AUV, and test this model under simulated and real world conditions. We also develop a model for predicting future energy states, and evaluate this model using real world trials.

Name thesis:degree_name

Master of Science

Level thesis:degree_level

masters

Discipline thesis:degree_discipline

Electrical Engineering

Department dc:contributor.department

Electrical Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2022

Author dc:creator

• Edwards, Conlan D.

Chair dc:contributor.committeechair

• Stilwell, Daniel J.

Committee members dc:contributor.committeemember

• Baumann, William T.
• Southward, Steve C.

• Energy Monitoring
• Battery Model
• Energy Prediction
• Uncertainty Mapping

Statement dc:rights

• Creative Commons Attribution 4.0 International

Licence dc:rights.uri

• http://creativecommons.org/licenses/by/4.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:34803

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/110316