An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission

Majid Vafaeipour; Mohamed El Baghdadi; Florian Verbelen; Peter Sergeant; Joeri Van Mierlo; Omar Hegazy

An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission

Majid Vafaeipour, Mohamed El Baghdadi, Florian Verbelen, Peter Sergeant, Joeri Van Mierlo, Omar Hegazy

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

8 Citations (Scopus)

Abstract

The present study proposes an Energy Management Strategy (EMS) control for optimization of fuel consumption in a Hybrid Electric Vehicle (HEV). It addresses an Electrical Variable Transmission (EVT) based HEV and combines an Equivalent Consumption Minimization Strategy (ECMS) to a Rule-based (RB) strategy for such a hybrid system. To this end, the EVT-based vehicle is modeled and integrated into the proposed EMS in the Simulink ^® environment. The backward-facing model is linked to work with a MATLAB-based genetic algorithm to achieve problem objectives and satisfy constraints at the meantime. Investigation of the results indicates the proposed EMS improves fuel consumption and maintains the battery State of Charge (SoC) considering battery limitations.

Original language	English
Title of host publication	2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Publisher	IEEE
Pages	1-9
Publication status	Published - 9 May 2019
Event	2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER) - Duration: 25 May 2019 → 30 May 2019

Conference

Conference	2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)
Period	25/05/19 → 30/05/19

Cite this

@inproceedings{0cfd9c877aa444e4bfaf92fa6840ea6c,

title = "An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission",

abstract = "The present study proposes an Energy Management Strategy (EMS) control for optimization of fuel consumption in a Hybrid Electric Vehicle (HEV). It addresses an Electrical Variable Transmission (EVT) based HEV and combines an Equivalent Consumption Minimization Strategy (ECMS) to a Rule-based (RB) strategy for such a hybrid system. To this end, the EVT-based vehicle is modeled and integrated into the proposed EMS in the Simulink {\textregistered} environment. The backward-facing model is linked to work with a MATLAB-based genetic algorithm to achieve problem objectives and satisfy constraints at the meantime. Investigation of the results indicates the proposed EMS improves fuel consumption and maintains the battery State of Charge (SoC) considering battery limitations. ",

author = "Majid Vafaeipour and {El Baghdadi}, Mohamed and Florian Verbelen and Peter Sergeant and {Van Mierlo}, Joeri and Omar Hegazy",

year = "2019",

month = may,

day = "9",

language = "English",

pages = "1--9",

booktitle = "2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)",

publisher = "IEEE",

note = "null ; Conference date: 25-05-2019 Through 30-05-2019",

}

Vafaeipour, M , El Baghdadi, M, Verbelen, F, Sergeant, P, Van Mierlo, J & Hegazy, O 2019, An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission. in 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER). IEEE, pp. 1-9, 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER), 25/05/19.

An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission. / Vafaeipour, Majid ; El Baghdadi, Mohamed; Verbelen, Florian; Sergeant, Peter; Van Mierlo, Joeri ; Hegazy, Omar.

2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER). IEEE, 2019. p. 1-9.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission

AU - Vafaeipour, Majid

AU - El Baghdadi, Mohamed

AU - Verbelen, Florian

AU - Sergeant, Peter

AU - Van Mierlo, Joeri

AU - Hegazy, Omar

PY - 2019/5/9

Y1 - 2019/5/9

N2 - The present study proposes an Energy Management Strategy (EMS) control for optimization of fuel consumption in a Hybrid Electric Vehicle (HEV). It addresses an Electrical Variable Transmission (EVT) based HEV and combines an Equivalent Consumption Minimization Strategy (ECMS) to a Rule-based (RB) strategy for such a hybrid system. To this end, the EVT-based vehicle is modeled and integrated into the proposed EMS in the Simulink ® environment. The backward-facing model is linked to work with a MATLAB-based genetic algorithm to achieve problem objectives and satisfy constraints at the meantime. Investigation of the results indicates the proposed EMS improves fuel consumption and maintains the battery State of Charge (SoC) considering battery limitations.

AB - The present study proposes an Energy Management Strategy (EMS) control for optimization of fuel consumption in a Hybrid Electric Vehicle (HEV). It addresses an Electrical Variable Transmission (EVT) based HEV and combines an Equivalent Consumption Minimization Strategy (ECMS) to a Rule-based (RB) strategy for such a hybrid system. To this end, the EVT-based vehicle is modeled and integrated into the proposed EMS in the Simulink ® environment. The backward-facing model is linked to work with a MATLAB-based genetic algorithm to achieve problem objectives and satisfy constraints at the meantime. Investigation of the results indicates the proposed EMS improves fuel consumption and maintains the battery State of Charge (SoC) considering battery limitations.

M3 - Conference paper

SP - 1

EP - 9

BT - 2019 Fourteenth International Conference on Ecological Vehicles and Renewable Energies (EVER)

PB - IEEE

Y2 - 25 May 2019 through 30 May 2019

ER -

An ECMS-based Approach for Energy Management of a HEV Equipped with an Electrical Variable Transmission

Abstract

Conference

Fingerprint

Cite this