A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems

Khizir Mahmud*, Mohammad Habibullah, Mohammad Shidujaman, Sayidul Morsalin, Günnur Koçar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

The Hybrid Electric Vehicle (HEV) powertrain, and an efficient power conversion and energy transmission process, are significant factors to reduce conventional fuel consumption and vehicle gas emission. The scale of gas emission of an HEV depends on an efficient design process for the powertrain and an optimal energy management system. Therefore, this paper models an efficient powertrain and energy transmission process for both series and parallel HEVs, which can contribute to the emission reduction process. Different power conversion stages, energy transmission paths, emissions, and a systems response corresponding to the driver's profile are analyzed systematically. Finally, the emission of the proposed system is compared with the European standard of vehicle gas emission.

Original languageEnglish
Title of host publicationIntelligent Computing Methodologies
Subtitle of host publication12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III
EditorsDe-Shuang Huang, Kyungsook Han, Abir Hussain
Place of PublicationCham
PublisherSpringer, Springer Nature
Pages571-582
Number of pages12
ISBN (Electronic)9783319422978
ISBN (Print)9783319422961
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event12th International Conference on Intelligent Computing Methodologies, ICIC 2016 - Lanzhou, China
Duration: 2 Aug 20165 Aug 2016

Publication series

NameLecture Notes in Artificial Intelligence
PublisherSpringer International Publishing AG Switzerland
Volume9773
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other12th International Conference on Intelligent Computing Methodologies, ICIC 2016
CountryChina
CityLanzhou
Period2/08/165/08/16

Keywords

  • Emission reduction
  • Energy management
  • Parallel hybrid electric vehicle
  • Series hybrid electric vehicle
  • Powertrain
  • Vehicle energy transmission

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