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Predictive Brake Control for Electric Vehicles

Satzger, Clemens and de Castro, Ricardo (2017) Predictive Brake Control for Electric Vehicles. IEEE Transactions on Vehicular Technology. IEEE - Institute of Electrical and Electronics Engineers. ISSN 0018-9545

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Abstract

This article presents a predictive braking control algorithm for electric vehicles with redundant braking actuators, composed of friction brake actuator(s) and electric motor(s). The proposed algorithm is based on a model predictive control framework and is able to optimally tackle several control goals, such as maximization of energy recuperation and wheel slip regulation, while taking into account actuation dynamics and constraints. The braking control algorithm was simulated and experimentally validated on the ROMO research vehicle. The obtained results demonstrate that, in comparison with state-of-art control techniques, the proposed MPC approach is able to: i) reduce the torque tracking error up to 60%, and ii) improve the deceleration during emergency braking up to 10%.

Item URL in elib:https://elib.dlr.de/114421/
Document Type:Article
Title:Predictive Brake Control for Electric Vehicles
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Satzger, Clemensclemens.satzger (at) dlr.dehttps://orcid.org/0000-0002-0714-3675
de Castro, Ricardoricardo.decastro (at) dlr.deUNSPECIFIED
Date:2017
Journal or Publication Title:IEEE Transactions on Vehicular Technology
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:0018-9545
Status:Published
Keywords:wheel slip control; model predictive control; brake blending; recuperation; hybrid braking; electric vehicles
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Terrestrial Vehicles (old)
DLR - Research area:Transport
DLR - Program:V BF - Bodengebundene Fahrzeuge
DLR - Research theme (Project):V - Fahrzeugintelligenz (old)
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Vehicle System Dynamics
Deposited By: Satzger, Clemens
Deposited On:16 Oct 2017 09:50
Last Modified:06 Sep 2019 15:17

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