Development of a time-domain modeling platform for hybrid marine propulsion systems

This thesis develops a time-domain integrated modeling approach for design of hybrid-electric marine propulsion systems that enables co-simulation of powertrain dynamics along with ship hydrodynamics. This work illustrates the model-based design and analysis methodology by performing a case study fo...

Full description

Bibliographic Details
Main Author: Andersen, Kevin
Other Authors: Dong, Zuomin
Language:English
en
Published: 2016
Subjects:
BEV
Online Access:http://hdl.handle.net/1828/7245
id ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-7245
record_format oai_dc
spelling ndltd-uvic.ca-oai-dspace.library.uvic.ca-1828-72452016-05-04T17:16:46Z Development of a time-domain modeling platform for hybrid marine propulsion systems Andersen, Kevin Dong, Zuomin Buckham, Bradley Jason Electric Ship Simulation LTO Battery Integrated Modeling Electric Vehicle Marine BEV This thesis develops a time-domain integrated modeling approach for design of hybrid-electric marine propulsion systems that enables co-simulation of powertrain dynamics along with ship hydrodynamics. This work illustrates the model-based design and analysis methodology by performing a case study for an EV conversion of a short-cross ferry using the BC Ferries’ M.V. Klitsa. A data acquisition study was performed to establish the typical mission cycle of the ship for its crossing route between Brentwood Bay and Mill Bay, across the Saanich Inlet near Victoria, BC Canada. The data provided by the data acquisition study serves as the primary means of validation for the model’s ability to accurately predict powertrain loads over the vessel’s standard crossing. This functionality enables model-based powertrain and propulsion system design optimization through simulation to intelligently deploy hybrid-electric propulsion architectures. The ship dynamics model is developed using a Newton-Euler approach which incorporates hydrodynamic coefficient data produced by potential flow solvers. The radiation forces resulting from vessel motion are fit to continuous time-domain transfer functions for computational efficiency. The ship resistance drag matrix is parameterized using results from uRANS CFD studies that span the operating range of the vessel. A model of the existing well-mounted azimuthing propeller is developed to predict thrust production and mechanical torque for pseudo-second quadrant operation to represent all operating conditions seen in real operation. The propeller model is parameterized from the results of a series of uRANS CFD on the propeller geometry. A full battery-electric powertrain model is produced to study the accuracy of the model in predicting the drivetrain loads, as well as assessing the technological feasibility of an EV conversion for this particular vessel. A dual-polarization equivalent circuit model is created for a large-scale LTO battery pack. An average value model with MTPA control and dynamics loss model is developed for a commercially available electric drive system. Power loss models were developed for required converter topologies for computational efficiency. The model results for load prediction are compared to data acquired, and results indicate that the approach is effective for enabling the study of various powertrain architecture alternatives. Graduate 2016-05-02T15:09:21Z 2016-05-02T15:09:21Z 2016 2016-05-02 Thesis http://hdl.handle.net/1828/7245 English en Available to the World Wide Web
collection NDLTD
language English
en
sources NDLTD
topic Electric Ship
Simulation
LTO Battery
Integrated Modeling
Electric Vehicle
Marine
BEV
spellingShingle Electric Ship
Simulation
LTO Battery
Integrated Modeling
Electric Vehicle
Marine
BEV
Andersen, Kevin
Development of a time-domain modeling platform for hybrid marine propulsion systems
description This thesis develops a time-domain integrated modeling approach for design of hybrid-electric marine propulsion systems that enables co-simulation of powertrain dynamics along with ship hydrodynamics. This work illustrates the model-based design and analysis methodology by performing a case study for an EV conversion of a short-cross ferry using the BC Ferries’ M.V. Klitsa. A data acquisition study was performed to establish the typical mission cycle of the ship for its crossing route between Brentwood Bay and Mill Bay, across the Saanich Inlet near Victoria, BC Canada. The data provided by the data acquisition study serves as the primary means of validation for the model’s ability to accurately predict powertrain loads over the vessel’s standard crossing. This functionality enables model-based powertrain and propulsion system design optimization through simulation to intelligently deploy hybrid-electric propulsion architectures. The ship dynamics model is developed using a Newton-Euler approach which incorporates hydrodynamic coefficient data produced by potential flow solvers. The radiation forces resulting from vessel motion are fit to continuous time-domain transfer functions for computational efficiency. The ship resistance drag matrix is parameterized using results from uRANS CFD studies that span the operating range of the vessel. A model of the existing well-mounted azimuthing propeller is developed to predict thrust production and mechanical torque for pseudo-second quadrant operation to represent all operating conditions seen in real operation. The propeller model is parameterized from the results of a series of uRANS CFD on the propeller geometry. A full battery-electric powertrain model is produced to study the accuracy of the model in predicting the drivetrain loads, as well as assessing the technological feasibility of an EV conversion for this particular vessel. A dual-polarization equivalent circuit model is created for a large-scale LTO battery pack. An average value model with MTPA control and dynamics loss model is developed for a commercially available electric drive system. Power loss models were developed for required converter topologies for computational efficiency. The model results for load prediction are compared to data acquired, and results indicate that the approach is effective for enabling the study of various powertrain architecture alternatives. === Graduate
author2 Dong, Zuomin
author_facet Dong, Zuomin
Andersen, Kevin
author Andersen, Kevin
author_sort Andersen, Kevin
title Development of a time-domain modeling platform for hybrid marine propulsion systems
title_short Development of a time-domain modeling platform for hybrid marine propulsion systems
title_full Development of a time-domain modeling platform for hybrid marine propulsion systems
title_fullStr Development of a time-domain modeling platform for hybrid marine propulsion systems
title_full_unstemmed Development of a time-domain modeling platform for hybrid marine propulsion systems
title_sort development of a time-domain modeling platform for hybrid marine propulsion systems
publishDate 2016
url http://hdl.handle.net/1828/7245
work_keys_str_mv AT andersenkevin developmentofatimedomainmodelingplatformforhybridmarinepropulsionsystems
_version_ 1718260367892676608