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

doi:10.1007/978-3-319-42297-8_53

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 proceeding › Conference proceeding contribution › peer-review

4 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 language	English
Title of host publication	Intelligent Computing Methodologies
Subtitle of host publication	12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III
Editors	De-Shuang Huang, Kyungsook Han, Abir Hussain
Place of Publication	Cham
Publisher	Springer, Springer Nature
Pages	571-582
Number of pages	12
ISBN (Electronic)	9783319422978
ISBN (Print)	9783319422961
DOIs	https://doi.org/10.1007/978-3-319-42297-8_53
Publication status	Published - 2016
Externally published	Yes
Event	12th International Conference on Intelligent Computing Methodologies, ICIC 2016 - Lanzhou, China Duration: 2 Aug 2016 → 5 Aug 2016

Publication series

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer International Publishing AG Switzerland
Volume	9773
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	12th International Conference on Intelligent Computing Methodologies, ICIC 2016
Country/Territory	China
City	Lanzhou
Period	2/08/16 → 5/08/16

Keywords

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

Access to Document

10.1007/978-3-319-42297-8_53

Cite this

Mahmud, K., Habibullah, M., Shidujaman, M., Morsalin, S., & Koçar, G. (2016). A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems. In D-S. Huang, K. Han, & A. Hussain (Eds.), Intelligent Computing Methodologies: 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III (pp. 571-582). (Lecture Notes in Artificial Intelligence; Vol. 9773). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-42297-8_53

Mahmud, Khizir ; Habibullah, Mohammad ; Shidujaman, Mohammad ; Morsalin, Sayidul ; Koçar, Günnur. / A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems. Intelligent Computing Methodologies: 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III. editor / De-Shuang Huang ; Kyungsook Han ; Abir Hussain. Cham : Springer, Springer Nature, 2016. pp. 571-582 (Lecture Notes in Artificial Intelligence).

@inproceedings{98ceffea1c1a44798f6b0d2cd21bb1f1,

title = "A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems",

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.",

keywords = "Emission reduction, Energy management, Parallel hybrid electric vehicle, Series hybrid electric vehicle, Powertrain, Vehicle energy transmission",

author = "Khizir Mahmud and Mohammad Habibullah and Mohammad Shidujaman and Sayidul Morsalin and G{\"u}nnur Ko{\c c}ar",

year = "2016",

doi = "10.1007/978-3-319-42297-8_53",

language = "English",

isbn = "9783319422961",

series = "Lecture Notes in Artificial Intelligence",

publisher = "Springer, Springer Nature",

pages = "571--582",

editor = "De-Shuang Huang and Kyungsook Han and Abir Hussain",

booktitle = "Intelligent Computing Methodologies",

address = "United States",

note = "12th International Conference on Intelligent Computing Methodologies, ICIC 2016 ; Conference date: 02-08-2016 Through 05-08-2016",

}

Mahmud, K, Habibullah, M, Shidujaman, M, Morsalin, S & Koçar, G 2016, A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems. in D-S Huang, K Han & A Hussain (eds), Intelligent Computing Methodologies: 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III. Lecture Notes in Artificial Intelligence, vol. 9773, Springer, Springer Nature, Cham, pp. 571-582, 12th International Conference on Intelligent Computing Methodologies, ICIC 2016, Lanzhou, China, 2/08/16. https://doi.org/10.1007/978-3-319-42297-8_53

A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems. / Mahmud, Khizir; Habibullah, Mohammad; Shidujaman, Mohammad; Morsalin, Sayidul; Koçar, Günnur.

Intelligent Computing Methodologies: 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III. ed. / De-Shuang Huang; Kyungsook Han; Abir Hussain. Cham : Springer, Springer Nature, 2016. p. 571-582 (Lecture Notes in Artificial Intelligence; Vol. 9773).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems

AU - Mahmud, Khizir

AU - Habibullah, Mohammad

AU - Shidujaman, Mohammad

AU - Morsalin, Sayidul

AU - Koçar, Günnur

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

KW - Emission reduction

KW - Energy management

KW - Parallel hybrid electric vehicle

KW - Series hybrid electric vehicle

KW - Powertrain

KW - Vehicle energy transmission

UR - http://www.scopus.com/inward/record.url?scp=84978865171&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-42297-8_53

DO - 10.1007/978-3-319-42297-8_53

M3 - Conference proceeding contribution

AN - SCOPUS:84978865171

SN - 9783319422961

T3 - Lecture Notes in Artificial Intelligence

SP - 571

EP - 582

BT - Intelligent Computing Methodologies

A2 - Huang, De-Shuang

A2 - Han, Kyungsook

A2 - Hussain, Abir

PB - Springer, Springer Nature

CY - Cham

T2 - 12th International Conference on Intelligent Computing Methodologies, ICIC 2016

Y2 - 2 August 2016 through 5 August 2016

ER -

Mahmud K, Habibullah M, Shidujaman M, Morsalin S, Koçar G. A heuristic approach to design and analyze the hybrid electric vehicle powertrain and energy transmission systems. In Huang D-S, Han K, Hussain A, editors, Intelligent Computing Methodologies: 12th International Conference, ICIC 2016 Lanzhou, China, August 2–5, 2016 Proceedings, Part III. Cham: Springer, Springer Nature. 2016. p. 571-582. (Lecture Notes in Artificial Intelligence). https://doi.org/10.1007/978-3-319-42297-8_53

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

Abstract

Publication series

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this