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Fast Stochastic Non-linear Model Predictive Control for Electric Vehicle Advanced Driver Assistance Systems
Sajadi Alamdari, Seyed Amin; Voos, Holger; Darouach, Mohamed
2017In 13th IEEE International Conference on Vehicular Electronics and Safety, Vienna, Austria 27-28 June 2017
Peer reviewed
 

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Keywords :
Stochastic Optimisation; Electric Vehicle; Predictive Control
Abstract :
[en] Semi-autonomous driving assistance systems have a high potential to improve the safety and efficiency of the battery electric vehicles that are enduring limited cruising range. This paper presents an ecologically advanced driver assistance system to extend the functionality of the adaptive cruise control system. A real-time stochastic non-linear model predictive controller with probabilistic constraints is presented to compute on-line the safe and energy-efficient cruising velocity profile. The individual chance-constraint is reformulated into a convex second-order cone constraint which is robust for a general class of probability distributions. Finally, the performance of proposed approach in terms of states regulation, constraints fulfilment, and energy efficiency is evaluated on a battery electric vehicle.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Automation & Robotics Research Group
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Sajadi Alamdari, Seyed Amin ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Voos, Holger  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Darouach, Mohamed;  Universit ́e de Lorraine, IUT de Longwy, 186 rue de Lorraine, F-54400 Cosnes et Romain, France. > Centre de Recherche en Automatique de Nancy (CRAN) UMR-CNRS 7039
External co-authors :
yes
Language :
English
Title :
Fast Stochastic Non-linear Model Predictive Control for Electric Vehicle Advanced Driver Assistance Systems
Publication date :
27 June 2017
Event name :
13th IEEE International Conference on Vehicular Electronics and Safety
Event date :
27-06-2017 to 28-06-2017
Audience :
International
Main work title :
13th IEEE International Conference on Vehicular Electronics and Safety, Vienna, Austria 27-28 June 2017
Pages :
91-96
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
FnR Project :
FNR7041503 - Stochastic Model Predictive Control For Eco-driving Assistance Systems In Electric Vehicles, 2013 (15/06/2014-14/06/2018) - Seyed Amin Sajadi Alamdari
Name of the research project :
"Stochastic Model Predictive Control for Eco-Driving Assistance Systems in Electric Vehicles” (SEDAS)
Funders :
FNR - Fonds National de la Recherche [LU]
Available on ORBilu :
since 24 July 2017

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