Automated Inventory Tracking and Alert System
Volume-6 | Issue-4

Automated Water Level Monitoring System using Arduino and GSM Module
Volume-5 | Issue-1

Smart Waste Segregation System using Convolutional Neural Networks
Volume-4 | Issue-2

Autonomous Vehicle: Challenges and Implementation
Volume-4 | Issue-2

Identification of Single Phase to Ground Faults in Power Distribution Systems with RG Technique
Volume-4 | Issue-1

A Performance Analysis of Switched Capacitor Based Multilevel Inverter
Volume-4 | Issue-1

Agro Guard Edge AI - Development of Sustainable IoT Framework for Wildlife Intrusion Detection
Volume-6 | Issue-4

Development and Evaluation of Control System in Mechatronics – A Systematic Survey
Volume-4 | Issue-2

Comparative analysis of Direct and Indirect Model Reference Adaptive Control by Extended Kalman Filter
Volume-3 | Issue-3

Load Flow Study of GCT Powerhouse using ETAP
Volume-5 | Issue-1

Power Transfer Capability Recognition in Deregulated System under Line Outage Condition Using Power World Simulator
Volume-3 | Issue-4

Transformer Oil Diagnostic Tests Analysis using Statistical Correlation Technique
Volume-4 | Issue-3

Design of Inverter Voltage Mode Controller by Backstepping Technique for Nonlinear Power System Model
Volume-3 | Issue-4

Automated Multimodal Fusion Technique for the Classification of Human Brain on Alzheimer’s Disorder
Volume-3 | Issue-3

Performance Analysis of Multiple Pico Hydro Power Generation
Volume-2 | Issue-2

Energy Efficient Data Mining Approach for Estimating the Diabetes
Volume-3 | Issue-2

Wireless Power Transfer Device Based on RF Energy Circuit and Transformer Coupling Procedure
Volume-3 | Issue-3

Prediction of Energy Consumption by Ships at the port using Deep Learning
Volume-3 | Issue-2

A Novel Adaptive Fuzzy MPPT Algorithm under Changing Atmospheric Conditions
Volume-3 | Issue-4

Unmanned Aerial Vehicle with Thermal Imaging for Automating Water Status in Vineyard
Volume-3 | Issue-2

Home / Archives / Volume-2 / Issue-2 / Article-4

Volume - 2 | Issue - 2 | june 2020

Investigation of Operational Efficiency using Stochastic Models for Electric propulsion in Ships
Pages: 84-91
Full Article PDF pdf-white-icon
DOI
10.36548/jeea.2020.2.004
Published
10 May, 2020
Abstract

In various models of vehicle drive trains, issues such as improving electric propulsion reliability, environmental performance, and economic efficiency has been enabled by the recent developments in electric power engineering in terms of materials, equipment and technologies. The increasing requirements in ecological parameters, efficiency for fault tolerance and reliability, accurate selection of design features and type of electric propulsion drive as well as the limitations on the traction equipment weight and installation space are the important parameters for execution of the system approach. The automobile electric propulsion systems consisting of one or more traction motors and few generating elements and their operational efficiency are analysed by means of stochastic models. Aircrafts, hybrid cars, diesel-electric locomotives, arctic cargo ships and icebreakers are ideal platforms for implementation of the propulsion system. The load modes of traction electric motors, operational fuel consumption, energy output of thermal engines and several other probabilistic characters of operational processes and random factors that influence the simulation result accuracy cannot be evaluated using the deterministic approach.

Keywords

Ecological damage Reliability Efficiency Ship electric propulsion Markov-model

×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
15 USD
Open Access Fee Nil
Annual Subscription Fee
200 USD
After payment,
please send an email to irojournals.contact@gmail.com / journals@iroglobal.com requesting article access.
Subscription form: click here