An intelligent driving strategy engine for a solar car

Sena Koçak; Ömer Nezih Atalay; Ali Fuat Ergenç

An intelligent driving strategy engine for a solar car

Sena Koçak
, Ömer Nezih Atalay
, Ali Fuat Ergenç

Department of Control and Automation Engineering

Turkish Aerospace Industries
Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

In this work, a fuzzy-based driving strategy engine is designed for the 9th solar car B.O.W. ISTKA of ITU Solar Car team. Presenting a successful strategy is major in the sense of the efficient energy management. Purpose of this work is also transferring experience of the strategist about optimal solar vehicle driving and then systematizing with the help of fuzzy logic concept. The engine has seven inputs that impact the performance of solar car. Output of this system is suggested as the vehicle speed change. Mamdani type fuzzy inference is used for building this intelligent structure. After this process, the driving strategy engine is manipulated for the inefficient motor operation. Plenty of cases are tested for the verification of the driving strategy engine. Obtained results are approved and found legitimate by the strategists of the team.

Original language	English
Title of host publication	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	758-763
Number of pages	6
ISBN (Electronic)	9786050107371
Publication status	Published - 2 Jul 2017
Event	10th International Conference on Electrical and Electronics Engineering, ELECO 2017 - Bursa, Turkey Duration: 29 Nov 2017 → 2 Dec 2017

Publication series

Name	2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Volume	2018-January

Conference

Conference	10th International Conference on Electrical and Electronics Engineering, ELECO 2017
Country/Territory	Turkey
City	Bursa
Period	29/11/17 → 2/12/17

Bibliographical note

Publisher Copyright:
© 2017 EMO (Turkish Chamber of Electrical Enginners).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Cite this

Koçak, S., Atalay, Ö. N., & Ergenç, A. F. (2017). An intelligent driving strategy engine for a solar car. In 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 (pp. 758-763). (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc..

Koçak, Sena ; Atalay, Ömer Nezih ; Ergenç, Ali Fuat. / An intelligent driving strategy engine for a solar car. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 758-763 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017).

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title = "An intelligent driving strategy engine for a solar car",

abstract = "In this work, a fuzzy-based driving strategy engine is designed for the 9th solar car B.O.W. ISTKA of ITU Solar Car team. Presenting a successful strategy is major in the sense of the efficient energy management. Purpose of this work is also transferring experience of the strategist about optimal solar vehicle driving and then systematizing with the help of fuzzy logic concept. The engine has seven inputs that impact the performance of solar car. Output of this system is suggested as the vehicle speed change. Mamdani type fuzzy inference is used for building this intelligent structure. After this process, the driving strategy engine is manipulated for the inefficient motor operation. Plenty of cases are tested for the verification of the driving strategy engine. Obtained results are approved and found legitimate by the strategists of the team.",

author = "Sena Ko{\c c}ak and Atalay, \{{\"O}mer Nezih\} and Ergen{\c c}, \{Ali Fuat\}",

note = "Publisher Copyright: {\textcopyright} 2017 EMO (Turkish Chamber of Electrical Enginners).; 10th International Conference on Electrical and Electronics Engineering, ELECO 2017 ; Conference date: 29-11-2017 Through 02-12-2017",

year = "2017",

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language = "English",

series = "2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017",

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Koçak, S, Atalay, ÖN & Ergenç, AF 2017, An intelligent driving strategy engine for a solar car. in 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. 2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 758-763, 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, Bursa, Turkey, 29/11/17.

An intelligent driving strategy engine for a solar car. / Koçak, Sena; Atalay, Ömer Nezih; Ergenç, Ali Fuat.
2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 758-763 (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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N2 - In this work, a fuzzy-based driving strategy engine is designed for the 9th solar car B.O.W. ISTKA of ITU Solar Car team. Presenting a successful strategy is major in the sense of the efficient energy management. Purpose of this work is also transferring experience of the strategist about optimal solar vehicle driving and then systematizing with the help of fuzzy logic concept. The engine has seven inputs that impact the performance of solar car. Output of this system is suggested as the vehicle speed change. Mamdani type fuzzy inference is used for building this intelligent structure. After this process, the driving strategy engine is manipulated for the inefficient motor operation. Plenty of cases are tested for the verification of the driving strategy engine. Obtained results are approved and found legitimate by the strategists of the team.

AB - In this work, a fuzzy-based driving strategy engine is designed for the 9th solar car B.O.W. ISTKA of ITU Solar Car team. Presenting a successful strategy is major in the sense of the efficient energy management. Purpose of this work is also transferring experience of the strategist about optimal solar vehicle driving and then systematizing with the help of fuzzy logic concept. The engine has seven inputs that impact the performance of solar car. Output of this system is suggested as the vehicle speed change. Mamdani type fuzzy inference is used for building this intelligent structure. After this process, the driving strategy engine is manipulated for the inefficient motor operation. Plenty of cases are tested for the verification of the driving strategy engine. Obtained results are approved and found legitimate by the strategists of the team.

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M3 - Conference contribution

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Y2 - 29 November 2017 through 2 December 2017

ER -

An intelligent driving strategy engine for a solar car

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

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Cite this