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

Grupo de Investigación en Ingeniería del Transporte (GIIT)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

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.

Idioma original	Inglés
Título de la publicación alojada	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9798350344455
DOI	https://doi.org/10.1109/VPPC60535.2023.10403205
Estado	Publicada - 2023
Evento	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italia Duración: 24 oct. 2023 → 27 oct. 2023

Serie de la publicación

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

Conferencia

Conferencia	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
País/Territorio	Italia
Ciudad	Milan
Período	24/10/23 → 27/10/23

Nota bibliográfica

Publisher Copyright:
© 2023 IEEE.

Acceder al documento

10.1109/VPPC60535.2023.10403205

Otros archivos y enlaces

Enlace a la publicación en Scopus

Citar esto

Valladolid, J. D., & Macas, J. (2023). A Proposed Strategy For The Optimal Control Of Regenerative Braking In Electric Vehicle Based On Driving Style. En 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. En 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, Italia, 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).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

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 - http://www.scopus.com/inward/record.url?scp=85185344134&partnerID=8YFLogxK

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. En 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

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto