Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle

This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.

מידע ביבליוגרפי
Main Authors: Saha, Aparna, Anjum, Murshida, Md. Arefin, Dewan Abu, Taif, Mir Rayhanuzzaman
מחברים אחרים: Azad, Dr. A. K. M. Abdul Malek
פורמט: Thesis
שפה:English
יצא לאור: BRAC University 2016
נושאים:
גישה מקוונת:http://hdl.handle.net/10361/6408
id 10361-6408
record_format dspace
spelling 10361-64082019-09-30T02:55:47Z Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle Saha, Aparna Anjum, Murshida Md. Arefin, Dewan Abu Taif, Mir Rayhanuzzaman Azad, Dr. A. K. M. Abdul Malek Department of Electrical and Electronic Engineering, BRAC University Algorithm Travelling time Electrically powered vehicle State of Charge (SOC) This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016. Cataloged from PDF version of thesis report. Includes bibliographical references (page 82-85). Electrically assisted with PV panel supported vehicle is developing a market for the automobile manufacturers as it is a promising innovation in case of reducing CO2 emissions and fossil fuel consumption. The number of electric vehicles on the road is not up to the expectation due to some constraints which includes limited driving range that depends on many factors such as load type, driving style and road condition. The paper describes the development and implementation of an algorithm to produce and install a useful electrical device on the electric vehicle which will show State of Charge (SOC), remaining discharging time of battery and available travel distance correspond to SOC on the LCD display by using microcontroller along with necessary external electrical connections with required components. This electrical device provides the features for the puller to take the decision about charging the batteries used in the vehicle in time which helps to avoid unwanted risky occurrence in the middle of the road due to limited driving range. This project include a brief description of the method used to develop the algorithm and also describes the data obtained from the field test which assures performance, efficiency and feasibility of the electrical device. Aparna Saha Murshida Anjum Dewan Abu Md. Arefin Mir RayhanuzzamanTaif B. Electrical and Electronic Engineering 2016-09-19T08:33:43Z 2016-09-19T08:33:43Z 2016 2016 Thesis ID 13121079 ID 12221087 ID 12221019 ID 12221032 http://hdl.handle.net/10361/6408 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 107 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Algorithm
Travelling time
Electrically powered vehicle
State of Charge (SOC)
spellingShingle Algorithm
Travelling time
Electrically powered vehicle
State of Charge (SOC)
Saha, Aparna
Anjum, Murshida
Md. Arefin, Dewan Abu
Taif, Mir Rayhanuzzaman
Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
description This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2016.
author2 Azad, Dr. A. K. M. Abdul Malek
author_facet Azad, Dr. A. K. M. Abdul Malek
Saha, Aparna
Anjum, Murshida
Md. Arefin, Dewan Abu
Taif, Mir Rayhanuzzaman
format Thesis
author Saha, Aparna
Anjum, Murshida
Md. Arefin, Dewan Abu
Taif, Mir Rayhanuzzaman
author_sort Saha, Aparna
title Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
title_short Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
title_full Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
title_fullStr Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
title_full_unstemmed Implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
title_sort implementation of algorithm to determine estimated state of charge, travelling time and distance to cover for electrically powered vehicle
publisher BRAC University
publishDate 2016
url http://hdl.handle.net/10361/6408
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