Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient

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.

Khanabdal Saheb; Bannae Sharifian Mohammad Bagher; Sabahi Mehran

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

Journal Paper

Paper Information

Journal: COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING) Year:2023 | Volume:14 | Issue:2 Page(s): 31-46

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Stability Control of Front and Rear Wheel Independent Drive Type Electric Vehicle on Roads with Low Friction Coefficient

Author(s)

Khanabdal Saheb | Bannae Sharifian Mohammad Bagher | Sabahi Mehran | Issue Writer Certificate

Keywords

Electric Vehicle

Fuzzy Logic

Regenerative Braking

Stability Control

Abstract

In recent years, the development of Electric Vehicles has accelerated. In this manuscript, a new control method is proposed to maintain the stability of the front and rear wheel independent drive type Electric Vehicle (FRID EV) on the roads with a low friction coefficient. This control method specifies an optimized bound proportionally to the state of the road’s surface for the torque values produced by the front and rear electric motors to prevent the vehicle from slipping. In addition, a Fuzzy Logic-based braking system is proposed to improve the vehicle performance during decelerating. The vehicle is described by the model with three degrees of freedom that provides good accuracy. The tires are modeled based on the magic formula. To evaluate the effectiveness of the proposed method, simulations have been carried out in MATLAB/SIMULINK software environment. The results show that the proposed control method can well maintain the stability of the Electric Vehicle on dry and slippery roads, during moving straight, accelerating or decelerating, as well as turning. As a result, the vehicle is prevented from slipping and locking the wheels.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans