Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAHMANI ZAHRA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Control Year:2020 | Volume:13 | Issue:4 Page(s): 1-14

Download Full-Text

Persian Verion

View:

1,551

Download:

Cites:

Information Journal Paper

Title

Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery

Author(s)

RAHMANI ZAHRA | Issue Writer Certificate

Keywords

Battery TemperatureQ2

Dynamic ProgrammingQ1

Energy ManagementQ1

Hybrid Electric VehiclesQ1

Thermal ManagementQ1

Abstract

In this paper, an offline Energy Management system (EMS) is proposed for parallel Hybrid Electric Vehicles (HEVs). The proper Energy Management system is necessary for dividing torque between electrical motor and Internal Combustion Engine (ICE). The battery is a crucial component of Hybrid Electric Vehicles and affects significantly the cost and the performance of the whole vehicle. The primary factors accelerating battery aging are high temperatures and high states of charge (SOC) of the battery. SOC is the most important state variable in EMS, and usually considered as the only dynamic variable in past researches, but the Battery Temperature is often considered to be constant for simplicity and the effects of EMS on the temperature variations are neglected. In this paper, first, Dynamic Programming is applied to a parallel HEV without considering variation of the temperature of the battery. Then, the model of battery is improved by modelling the cooling system to take into account temperature variations and show how neglecting thermal dynamics of the battery in EMS is impractical. Finally, by integrating the Battery Temperature as a state variable in the optimization problem, a new Energy Management strategy controlling variations of the Battery Temperature and SOC is proposed. The simulation results on tested vehicle show that in the proposed method charge and temperature of the battery is controlled so that the proposed EMS method prevents uncontrolled variations of the Battery Temperature and reduces the degradation rate of it.

Cites

No record.

References

No record.

Cite

APA: Copy

RAHMANI, ZAHRA. (2020). Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery. JOURNAL OF CONTROL, 13(4 ), 1-14. SID. https://sid.ir/paper/120869/en

Vancouver: Copy

RAHMANI ZAHRA. Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery. JOURNAL OF CONTROL[Internet]. 2020;13(4 ):1-14. Available from: https://sid.ir/paper/120869/en

IEEE: Copy

ZAHRA RAHMANI, “Improving the Energy Management of Parallel Hybrid Electric Vehicle by Dynamic Programming Using Electro-Thermal Model of Battery,” JOURNAL OF CONTROL, vol. 13, no. 4 , pp. 1–14, 2020, [Online]. Available: https://sid.ir/paper/120869/en

Related Journal Papers