Optimization of the fuel economy and emissions for plug in hybrid electric recreational boat energy management strategy using genetic algorithm

Today, the transportation sector has undergone a change from conventional vehicle to hybrid electric vehicle especially land-based with the aim to reduce fuel consumption and emissions. However, water transportation is also one of the contributors of excessive use of fuel and emissions. Therefore, w...

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Κύριοι συγγραφείς: Norbakyah, Jabar Siti (Συγγραφέας), Salisa, Abdul Rahman (Συγγραφέας)
Μορφή: EJournal Article
Έκδοση: Institute of Advanced Engineering and Science, 2019-06-01.
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LEADER 02263 am a22002773u 4500
001 IJPEDS_15819_12460
042 |a dc 
100 1 0 |a Norbakyah, Jabar Siti  |e author 
100 1 0 |e contributor 
700 1 0 |a Salisa, Abdul Rahman  |e author 
245 0 0 |a Optimization of the fuel economy and emissions for plug in hybrid electric recreational boat energy management strategy using genetic algorithm 
260 |b Institute of Advanced Engineering and Science,   |c 2019-06-01. 
500 |a https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/15819 
520 |a Today, the transportation sector has undergone a change from conventional vehicle to hybrid electric vehicle especially land-based with the aim to reduce fuel consumption and emissions. However, water transportation is also one of the contributors of excessive use of fuel and emissions. Therefore, water transport needs changes as it has been done on land transport, especially cars. In this paper, plug in hybrid electric recreational boat (PHERB) is introduced. PHERB is a special model because in PHERB powertrain configuration, it only needed one EM compared to existing configuration with energy management strategy (EMS).  In this work, the optimal EMS for PHERB are presented via genetic algorithm (GA). To estimate the fuel economy and emissions, the model of PHERB is employed numerically in the MATLAB/SIMULINK environment with a special EMS using Kuala Terengganu (KT) river driving cycle. Simulation result of PHERB optimization using GA improve to 15% for KT river driving cycles without violating the PHERB performance. 
540 |a Copyright (c) 2018 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-sa/4.0 
546 |a eng 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Power Electronics and Drive Systems (IJPEDS); Vol 10, No 2: June 2019; 792-800 
786 0 |n 2722-256X 
786 0 |n 2088-8694 
786 0 |n 10.11591/ijpeds.v10.i2 
787 0 |n https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/15819/12460 
856 4 1 |u https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/15819/12460  |z Get Fulltext