Sizing of Series Hybrid Electric Vehicle with Hybrid Energy Storage System

No Thumbnail Available

Date

2018

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Institute of Electrical and Electronics Engineers Inc.

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Organizational Units

Thumbnail Image
Organizational Unit
Electrical-Electronics Engineering
The Department of Electrical and Electronics Engineering covers communications, signal processing, high voltage, electrical machines, power distribution systems, radar and electronic warfare, RF, electromagnetic and photonics topics. Most of the theoretical courses in our department are supported by qualified laboratory facilities. Our department has been accredited by MÜDEK since 2013. Within the scope of joint training (COOP), in-company training opportunities are offered to our students. 9 different companies train our students for one semester within the scope of joint education and provide them with work experience. The number of students participating in joint education (COOP) is increasing every year. Our students successfully completed the joint education program that started in the 2019-2020 academic year and started work after graduation. Our department, which provides pre-graduation opportunities to its students with Erasmus, joint education (COOP) and undergraduate research projects, has made an agreement with Upper Austria University of Applied Sciences (Austria) starting from this year and offers its students undergraduate (Atılım University) and master's (Upper Austria) degrees with 3+2 education program. Our department, which has the only European Remote Radio Laboratory in Foundation Universities, has a pioneering position in research (publication, project, patent).

Journal Issue

Abstract

This work is aimed to develop a realistic design procedure for a series hybrid plug in vehicle, with a view to use it in a mathematical design optimization. The purpose of the optimization is minimizing the initial cost, as well as the running costs of the vehicle. Therefore there is a multi-objective design optimization problem in hand. Such problems are very suitable for mathematical optimization, however, accurate and not time consuming design procedure is a must, to obtain meaningful results. This paper introduces such a design procedure. The approach is illustrated on a commercial vehicle simulation model. The accuracy of the model is illustrated by comparing simulation results with vehicle test results. © 2018 IEEE.

Description

Keywords

Battery, Hybrid energy storage system, Series hybrid electric vehicle, Series hybrid electric vehicle modelling and design, Supercapacitor

Turkish CoHE Thesis Center URL

Fields of Science

Citation

0

WoS Q

Scopus Q

Source

SPEEDAM 2018 - Proceedings: International Symposium on Power Electronics, Electrical Drives, Automation and Motion -- 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2018 -- 20 June 2018 through 22 June 2018 -- Amalfi -- 139036

Volume

Issue

Start Page

377

End Page

382

URI

https://doi.org/10.1109/SPEEDAM.2018.8445422
 https://hdl.handle.net/20.500.14411/3886

Collections

Scopus