AUB ScholarWorks

Sizing of a fuel cell stack and battery system for a fuel cell hybrid vehicle using dynamic programming and Pareto analysis.

Show simple item record

dc.contributor.author Sadek, Hani Abdel Karim,
dc.date.accessioned 2020-03-28T16:41:52Z
dc.date.available 2022-04
dc.date.available 2020-03-28T16:41:52Z
dc.date.issued 2019
dc.date.submitted 2019
dc.identifier.other b23465517
dc.identifier.uri http://hdl.handle.net/10938/21818
dc.description Thesis. M.S. American University of Beirut. Department of Mechanical Engineering, 2019. ET:6965
dc.description Advisor : Riad Chedid, Professor, Electrical and Computer Engineering ; Co-Advisor : Dima Fares, Lecturer ProGreen Online Program ; Committee members : Nesreen Ghaddar, Professor, Mechanical Engineering ; Sami Karaki, Professor, Electrical and Computer Engineering.
dc.description Includes bibliographical references (leaves 75-77)
dc.description.abstract In this study we analyzed fuel cell hybrid electric vehicle models to identify the optimal size combination of fuel cells and batterie. This was in order to attain the lowest hydrogen consumption per trip. To achieve this goal, we used a tunnel dynamic programming technique to perform the optimal energy management strategy for each size combination. Battery selection is done based on different parameters in order to attain the most appropriate type. Two driving modes – charge sustaining and charge depleting - are obtained by adding a weight to battery cost in the optimization function. PARETO analysis is considered to find the best solution that secures the most appropriate battery and fuel cell sizes as well as the least operational cost for three specific driving cycles. Drivability constraints -gradeability, maximum speed and maximum acceleration - were taken into consideration during the sizing process. Different sizing combinations were obtained for the two driving modes over the three different driving cycles.
dc.format.extent 1 online resource (xiii, 77 leaves) : color illustrations
dc.language.iso eng
dc.subject.classification ET:006965
dc.subject.lcsh Fuel cell vehicles.
dc.subject.lcsh Hybrid electric vehicles.
dc.subject.lcsh Fuel cells.
dc.subject.lcsh Electric vehicles -- Power supply.
dc.subject.lcsh Dynamic programming.
dc.subject.lcsh Mathematical optimization.
dc.title Sizing of a fuel cell stack and battery system for a fuel cell hybrid vehicle using dynamic programming and Pareto analysis.
dc.type z
dc.contributor.department Maroun Semaan Faculty of Engineering and Architecture.
dc.contributor.department Department of Mechanical Engineering,
dc.subject.classificationsource AUBNO
dc.contributor.institution American University of Beirut.


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search AUB ScholarWorks


Browse

My Account