A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style

Juan D. Valladolid; José Macas

doi:10.1109/VPPC60535.2023.10403205

A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style

Juan D. Valladolid
, José Macas

Research Group in Transportation Engineering (GIIT)

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

2 Scopus citations

Abstract

This document presents a proposal an assisted control strategy to improve the regenerative braking system (RBS) of conventional electric vehicles. The proposed controller estimates a linear model using experimental data and vehicle dynamics, generating compensations in the target torque provided by the Integrated Brake Assist Unit (iBAU) and Pressure Source Unit (PSU) using model predictive control (MPC) concepts. The controller's objective is to track the driver's speed during braking while maximizing the current recovered by the RBS. The effectiveness of the proposed assisted braking torque controller is demonstrated through simulations using MATLAB/Simulink.

Original language	English
Title of host publication	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350344455
DOIs	https://doi.org/10.1109/VPPC60535.2023.10403205
State	Published - 2023
Event	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy Duration: 24 Oct 2023 → 27 Oct 2023

Publication series

Name	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

Conference

Conference	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Country/Territory	Italy
City	Milan
Period	24/10/23 → 27/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Assisted Control
Electric Vehicle
MPC control
Optimization
Regenerative braking system

CACES Knowledge Areas

417A Electronics, Automation and Sound

Access to Document

10.1109/VPPC60535.2023.10403205

Cite this

Valladolid, J. D., & Macas, J. (2023). A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style. In 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC60535.2023.10403205

@inproceedings{0a5ba47477c94f3c911e176bf7e3af71,

title = "A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style",

abstract = "This document presents a proposal an assisted control strategy to improve the regenerative braking system (RBS) of conventional electric vehicles. The proposed controller estimates a linear model using experimental data and vehicle dynamics, generating compensations in the target torque provided by the Integrated Brake Assist Unit (iBAU) and Pressure Source Unit (PSU) using model predictive control (MPC) concepts. The controller's objective is to track the driver's speed during braking while maximizing the current recovered by the RBS. The effectiveness of the proposed assisted braking torque controller is demonstrated through simulations using MATLAB/Simulink.",

keywords = "Assisted Control, Electric Vehicle, MPC control, Optimization, Regenerative braking system",

author = "Valladolid, \{Juan D.\} and Jos{\'e} Macas",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 ; Conference date: 24-10-2023 Through 27-10-2023",

year = "2023",

doi = "10.1109/VPPC60535.2023.10403205",

language = "English",

series = "2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings",

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

booktitle = "2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings",

address = "United States",

}

Valladolid, JD & Macas, J 2023, A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style. in 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, Milan, Italy, 24/10/23. https://doi.org/10.1109/VPPC60535.2023.10403205

A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style. / Valladolid, Juan D.; Macas, José.
2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings).

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

TY - GEN

T1 - A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style

AU - Valladolid, Juan D.

AU - Macas, José

PY - 2023

Y1 - 2023

N2 - This document presents a proposal an assisted control strategy to improve the regenerative braking system (RBS) of conventional electric vehicles. The proposed controller estimates a linear model using experimental data and vehicle dynamics, generating compensations in the target torque provided by the Integrated Brake Assist Unit (iBAU) and Pressure Source Unit (PSU) using model predictive control (MPC) concepts. The controller's objective is to track the driver's speed during braking while maximizing the current recovered by the RBS. The effectiveness of the proposed assisted braking torque controller is demonstrated through simulations using MATLAB/Simulink.

AB - This document presents a proposal an assisted control strategy to improve the regenerative braking system (RBS) of conventional electric vehicles. The proposed controller estimates a linear model using experimental data and vehicle dynamics, generating compensations in the target torque provided by the Integrated Brake Assist Unit (iBAU) and Pressure Source Unit (PSU) using model predictive control (MPC) concepts. The controller's objective is to track the driver's speed during braking while maximizing the current recovered by the RBS. The effectiveness of the proposed assisted braking torque controller is demonstrated through simulations using MATLAB/Simulink.

KW - Assisted Control

KW - Electric Vehicle

KW - MPC control

KW - Optimization

KW - Regenerative braking system

UR - https://www.scopus.com/pages/publications/85185344134

U2 - 10.1109/VPPC60535.2023.10403205

DO - 10.1109/VPPC60535.2023.10403205

M3 - Conference contribution

AN - SCOPUS:85185344134

T3 - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

BT - 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023

Y2 - 24 October 2023 through 27 October 2023

ER -

Valladolid JD, Macas J. A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style. In 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings). doi: 10.1109/VPPC60535.2023.10403205

A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Development of Intelligent and Sustainable Mobility Strategies and Social Acceptance of Autonomous Vehicles in the City of Cuenca, Employing Artificial Intelligence and Virtual Reality Techniques on Specialized Software and Hardware Platforms

Cite this

A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style

Abstract

Publication series

Conference

Bibliographical note

Keywords

CACES Knowledge Areas

Access to Document

Other files and links

Fingerprint

Projects

Development of Intelligent and Sustainable Mobility Strategies and Social Acceptance of Autonomous Vehicles in the City of Cuenca, Employing Artificial Intelligence and Virtual Reality Techniques on Specialized Software and Hardware Platforms

Cite this