Multiobjective optimisation of a series hybrid electric vehicle using direct algorithm
Joint Authors
Naji, Rafiq
Abd al-Mawla, Rihab
Bin Hajj, Naourez
Shayib, Muhammad
Source
Journal of Engineering Research
Issue
Vol. 9, Issue 1 (31 Mar. 2021), pp.151-167, 17 p.
Publisher
Kuwait University Academic Publication Council
Publication Date
2021-03-31
Country of Publication
Kuwait
No. of Pages
17
Main Subjects
Abstract EN
With the development of the economy, the city transportation becomes heavier.
The urban car is characterized by often stop.
Furthermore, fuel consumption is causing a serious problem of pollution in the urban environment.
Hybrid electric vehicles (HEV) are considered as a good solution compared to conventional internal combustion engine (ICE) vehicles.
In order to solve those problems, components parameters of a series hybrid electric vehicle (SHEV) are selected and matched with the simulation tool ADvanced VehIcle SimulatOR (ADVISOR), software based on Matlab_simulink.
In order to optimize the SHEV, the fitness function combines with the ADVISOR and is set up according to a thermostat control strategy (TCS) to minimise the simultaneous the fuel consumption (FC) and the emissions (HC, CO, and NOx) of the engine.
As well as, the driving performance requirements are also examined.
An urban driving cycles is used to test the vehicle and to fix their optimal control parameters: the urban dynamometer driving schedule (UDDS).
Finally, the results show that those steps help to reduce fuel consumption and emissions and guarantee vehicle performance.
Compared to the traditional vehicle, SHEV greatly improves fuel economy and reduce the toxic emissions.
American Psychological Association (APA)
Abd al-Mawla, Rihab& Bin Hajj, Naourez& Shayib, Muhammad& Naji, Rafiq. 2021. Multiobjective optimisation of a series hybrid electric vehicle using direct algorithm. Journal of Engineering Research،Vol. 9, no. 1, pp.151-167.
https://search.emarefa.net/detail/BIM-1494763
Modern Language Association (MLA)
Abd al-Mawla, Rihab…[et al.]. Multiobjective optimisation of a series hybrid electric vehicle using direct algorithm. Journal of Engineering Research Vol. 9, no. 1 (Mar. 2021), pp.151-167.
https://search.emarefa.net/detail/BIM-1494763
American Medical Association (AMA)
Abd al-Mawla, Rihab& Bin Hajj, Naourez& Shayib, Muhammad& Naji, Rafiq. Multiobjective optimisation of a series hybrid electric vehicle using direct algorithm. Journal of Engineering Research. 2021. Vol. 9, no. 1, pp.151-167.
https://search.emarefa.net/detail/BIM-1494763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 166-167
Record ID
BIM-1494763