صورة الغلاف

A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle

This paper proposes a real-coded Genetic Algorithm for finding optimal parameters’ values of a driver’s model. Driver’s models are one of the important requirements in designing controllers for vehicle electrification technology. Latest driver’s model that includes driver’s response delay, driver’s...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Zeratul Izzah, Mohd Yusoh, Hisashi, Tamaki, Kazuhide, Togai
التنسيق: مقال
اللغة:English
منشور في: Institute Of Electrical And Electronics Engineers Inc. (IEEE) 2015
الموضوعات:
T Technology (General)
الوصول للمادة أونلاين:http://eprints.utem.edu.my/id/eprint/17071/1/A%20Real-Coded%20Dynamic%20Genetic%20Algorithm%20For%20Optimizing%20Driver%27s%20Model%20In%20Emission%20Test%20Cycle.pdf
http://eprints.utem.edu.my/id/eprint/17071/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7379624
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spelling my.utem.eprints.170712021-09-08T23:13:45Z http://eprints.utem.edu.my/id/eprint/17071/ A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle Zeratul Izzah, Mohd Yusoh Hisashi, Tamaki Kazuhide, Togai T Technology (General) This paper proposes a real-coded Genetic Algorithm for finding optimal parameters’ values of a driver’s model. Driver’s models are one of the important requirements in designing controllers for vehicle electrification technology. Latest driver’s model that includes driver’s response delay, driver’s response time and the level of driver’s skills has been proposed previously. This model contains several critical parameters that need to be optimally determined in accordance with the vehicle’s properties as well as the test cycle data. The objective of this research is to search for the near-optimal values of driver’s model parameters that minimize the error between the target speed and the model’s speed, as well as maximize the smoothness of the driving operation. The algorithm is evaluated using two driving cycle data; Japan’s 10-15 mode cycle and Europe’s NEDC. The solutions are compared with other existing heuristic techniques. Experimental results demonstrate a good performance and the consistency of the proposed algorithm. Institute Of Electrical And Electronics Engineers Inc. (IEEE) 2015 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/17071/1/A%20Real-Coded%20Dynamic%20Genetic%20Algorithm%20For%20Optimizing%20Driver%27s%20Model%20In%20Emission%20Test%20Cycle.pdf Zeratul Izzah, Mohd Yusoh and Hisashi, Tamaki and Kazuhide, Togai (2015) A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle. 2015 IEEE International Conference On Systems, Man, And Cybernetics. pp. 2823-2828. ISSN 978-147998696-5 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7379624 10.1109/SMC.2015.492
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Zeratul Izzah, Mohd Yusoh
Hisashi, Tamaki
Kazuhide, Togai
A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
description This paper proposes a real-coded Genetic Algorithm for finding optimal parameters’ values of a driver’s model. Driver’s models are one of the important requirements in designing controllers for vehicle electrification technology. Latest driver’s model that includes driver’s response delay, driver’s response time and the level of driver’s skills has been proposed previously. This model contains several critical parameters that need to be optimally determined in accordance with the vehicle’s properties as well as the test cycle data. The objective of this research is to search for the near-optimal values of driver’s model parameters that minimize the error between the target speed and the model’s speed, as well as maximize the smoothness of the driving operation. The algorithm is evaluated using two driving cycle data; Japan’s 10-15 mode cycle and Europe’s NEDC. The solutions are compared with other existing heuristic techniques. Experimental results demonstrate a good performance and the consistency of the proposed algorithm.
format Article
author Zeratul Izzah, Mohd Yusoh
Hisashi, Tamaki
Kazuhide, Togai
author_facet Zeratul Izzah, Mohd Yusoh
Hisashi, Tamaki
Kazuhide, Togai
author_sort Zeratul Izzah, Mohd Yusoh
title A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
title_short A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
title_full A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
title_fullStr A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
title_full_unstemmed A Real-Coded Dynamic Genetic Algorithm For Optimizing Driver’s Model In Emission Test Cycle
title_sort real-coded dynamic genetic algorithm for optimizing driver’s model in emission test cycle
publisher Institute Of Electrical And Electronics Engineers Inc. (IEEE)
publishDate 2015
url http://eprints.utem.edu.my/id/eprint/17071/1/A%20Real-Coded%20Dynamic%20Genetic%20Algorithm%20For%20Optimizing%20Driver%27s%20Model%20In%20Emission%20Test%20Cycle.pdf
http://eprints.utem.edu.my/id/eprint/17071/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=7379624
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score 13.251813

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