HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

Zhen Wei; John Xu; Dunant Halim

doi:10.1109/VPPC.2015.7352960

HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

Zhen Wei
, John Xu
, Dunant Halim

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

7 Citations (Scopus)

Abstract

In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.

Original language	English
Title of host publication	2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467376372
DOIs	https://doi.org/10.1109/VPPC.2015.7352960
Publication status	Published - 10 Dec 2015
Event	12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Montreal, Canada Duration: 19 Oct 2015 → 22 Oct 2015

Publication series

Name	2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings

Conference

Conference	12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015
Country/Territory	Canada
City	Montreal
Period	19/10/15 → 22/10/15

UN SDGs

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

SDG 7 Affordable and Clean Energy

Free Keywords

dynamic programming
energy management
fuzzy logic control
HEV

ASJC Scopus subject areas

Automotive Engineering

Access to Document

10.1109/VPPC.2015.7352960

Cite this

Wei, Z., Xu, J., & Halim, D. (2015). HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming. In 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings Article 7352960 (2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC.2015.7352960

@inproceedings{7158a21217de4aefb6d2c69c2f3d170b,

title = "HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming",

abstract = "In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.",

keywords = "dynamic programming, energy management, fuzzy logic control, HEV",

author = "Zhen Wei and John Xu and Dunant Halim",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015 ; Conference date: 19-10-2015 Through 22-10-2015",

year = "2015",

month = dec,

day = "10",

doi = "10.1109/VPPC.2015.7352960",

language = "English",

series = "2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings",

address = "United States",

}

Wei, Z, Xu, J & Halim, D 2015, HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming. in 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings., 7352960, 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015, Montreal, Canada, 19/10/15. https://doi.org/10.1109/VPPC.2015.7352960

HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming. / Wei, Zhen; Xu, John ; Halim, Dunant.
2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. 7352960 (2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings).

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

TY - GEN

T1 - HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

AU - Wei, Zhen

AU - Xu, John

AU - Halim, Dunant

PY - 2015/12/10

Y1 - 2015/12/10

N2 - In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.

AB - In this work an optimized fuzzy logic control strategy for Hybrid Electric Vehicle energy management is proposed. The dynamic programming algorithm is applied to obtain the optimal power distribution between engine and motor for a given driving cycle. The dynamic programming solution is also utilized for the design of the fuzzy control strategy and acts as benchmarks for comparison. The proposed strategy is based on the driving conditions; therefore, less relies on the artificial experience. The simulation results indicate that the proposed strategy can further improve the fuel efficiency compared with the conventional control strategy.

KW - dynamic programming

KW - energy management

KW - fuzzy logic control

KW - HEV

UR - https://www.scopus.com/pages/publications/84962870276

U2 - 10.1109/VPPC.2015.7352960

DO - 10.1109/VPPC.2015.7352960

M3 - Conference contribution

AN - SCOPUS:84962870276

T3 - 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings

BT - 2015 IEEE Vehicle Power and Propulsion Conference, VPPC 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE Vehicle Power and Propulsion Conference, VPPC 2015

Y2 - 19 October 2015 through 22 October 2015

ER -

HEV Energy Management Fuzzy Logic Control Based on Dynamic Programming

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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