Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency

Rida Gillani; Ali Nasir

doi:10.1109/IBCAST.2019.8667199

Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency

Rida Gillani
, Ali Nasir

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

2 Scopus citations

Abstract

This paper proposes a Markov decision process based model for proactive control of hybrid electric vehicle that results in optimal control policy which maximizes fuel efficiency. Novel aspect of the model is inclusion of supplied power in the state space and inclusion of difference between supplied and demanded power in the reward function of the model. This inclusion allows for supplied and demanded power of the vehicle to be different which is not catered for in previous work. Another advantage of the proposed model over existing approaches is proactive nature of control, in that, the control policy restricts the supplied power when the vehicle is running low on fuel and/or battery charge level. Such control can save precious fuel and avoid the situation of being stranded on a highway with empty fuel tank. Simulation based case study has been included for demonstration of the results from optimal policy.

Original language	English
Title of host publication	Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	396-401
Number of pages	6
ISBN (Electronic)	9781538677292
DOIs	https://doi.org/10.1109/IBCAST.2019.8667199
State	Published - 13 Mar 2019
Externally published	Yes
Event	16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019 - Islamabad, Pakistan Duration: 8 Jan 2019 → 12 Jan 2019

Publication series

Name	Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019

Conference

Conference	16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019
Country/Territory	Pakistan
City	Islamabad
Period	8/01/19 → 12/01/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Markov process
fuel optimization
hybrid electric vehicle

ASJC Scopus subject areas

Computer Science (miscellaneous)

Access to Document

10.1109/IBCAST.2019.8667199

Cite this

Gillani, R., & Nasir, A. (2019). Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency. In Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019 (pp. 396-401). Article 8667199 (Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IBCAST.2019.8667199

Gillani, Rida ; Nasir, Ali. / Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency. Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 396-401 (Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019).

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title = "Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency",

abstract = "This paper proposes a Markov decision process based model for proactive control of hybrid electric vehicle that results in optimal control policy which maximizes fuel efficiency. Novel aspect of the model is inclusion of supplied power in the state space and inclusion of difference between supplied and demanded power in the reward function of the model. This inclusion allows for supplied and demanded power of the vehicle to be different which is not catered for in previous work. Another advantage of the proposed model over existing approaches is proactive nature of control, in that, the control policy restricts the supplied power when the vehicle is running low on fuel and/or battery charge level. Such control can save precious fuel and avoid the situation of being stranded on a highway with empty fuel tank. Simulation based case study has been included for demonstration of the results from optimal policy.",

keywords = "Markov process, fuel optimization, hybrid electric vehicle",

author = "Rida Gillani and Ali Nasir",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019 ; Conference date: 08-01-2019 Through 12-01-2019",

year = "2019",

month = mar,

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doi = "10.1109/IBCAST.2019.8667199",

language = "English",

series = "Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019",

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Gillani, R & Nasir, A 2019, Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency. in Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019., 8667199, Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019, Institute of Electrical and Electronics Engineers Inc., pp. 396-401, 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019, Islamabad, Pakistan, 8/01/19. https://doi.org/10.1109/IBCAST.2019.8667199

Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency. / Gillani, Rida; Nasir, Ali.
Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 396-401 8667199 (Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019).

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

TY - GEN

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AU - Gillani, Rida

AU - Nasir, Ali

PY - 2019/3/13

Y1 - 2019/3/13

N2 - This paper proposes a Markov decision process based model for proactive control of hybrid electric vehicle that results in optimal control policy which maximizes fuel efficiency. Novel aspect of the model is inclusion of supplied power in the state space and inclusion of difference between supplied and demanded power in the reward function of the model. This inclusion allows for supplied and demanded power of the vehicle to be different which is not catered for in previous work. Another advantage of the proposed model over existing approaches is proactive nature of control, in that, the control policy restricts the supplied power when the vehicle is running low on fuel and/or battery charge level. Such control can save precious fuel and avoid the situation of being stranded on a highway with empty fuel tank. Simulation based case study has been included for demonstration of the results from optimal policy.

AB - This paper proposes a Markov decision process based model for proactive control of hybrid electric vehicle that results in optimal control policy which maximizes fuel efficiency. Novel aspect of the model is inclusion of supplied power in the state space and inclusion of difference between supplied and demanded power in the reward function of the model. This inclusion allows for supplied and demanded power of the vehicle to be different which is not catered for in previous work. Another advantage of the proposed model over existing approaches is proactive nature of control, in that, the control policy restricts the supplied power when the vehicle is running low on fuel and/or battery charge level. Such control can save precious fuel and avoid the situation of being stranded on a highway with empty fuel tank. Simulation based case study has been included for demonstration of the results from optimal policy.

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KW - fuel optimization

KW - hybrid electric vehicle

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Gillani R, Nasir A. Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency. In Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 396-401. 8667199. (Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019). doi: 10.1109/IBCAST.2019.8667199

Proactive Control of Hybrid Electric Vehicles for Maximum Fuel Efficiency

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

Fingerprint

Cite this