Nonlinear Model Predictive Extended Eco-Cruise Control for Battery Electric Vehicles
English
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[Universite de Lorraine > Centre de Recherche en Automatique de Nancy (CRAN) UMR-CNRS 7039]
22-Jun-2016
24th Mediterranean Conference on Control and Automation (MED), Athens, Greece, 2016
467-472
Yes
No
International
24th Mediterranean Conference on Control and Automation (MED)
from 21-06-2016 to 24-06-216
Mediterranean Control Association
Athens
Greece
[en] Model Predictive Control ; Ecological Driving ; Electric Vehicles
[en] Battery Electric Vehicles are becoming a promising technology for road transportation. However, the main disadvantage is the limited cruising range they can travel on a single battery charge. This paper presents a novel extended ecological cruise control system to increase the autonomy of an electric vehicle by using energy-efficient driving techniques. Driven velocity, acceleration profile, geometric and traffic characteristics of roads largely affect the energy consumption. An energy-efficient velocity profile should be derived based on anticipated optimal actions for future events by considering the electric vehicle dynamics, its energy consumption relations, traffic and road geometric information. A nonlinear model predictive control method with a fast numerical algorithm is adapted to determine proper velocity profile. In addition, a novel model to describe the energy consumption of a series- production electric vehicle is introduced. The hyperfunctions concept is used to model traffic and road geometry data in a new way. The proposed system is simulated on a test track scenario and obtained results reveal that the extended ecological cruise control can significantly reduce the energy consumption of an electric vehicle.
University of luxembourg: Interdisciplinary Centre for Security, Reliability and Trust (SnT)
FnR ; FNR7041503 > Seyed Amin Sajadi Alamdari > > Stochastic Model Predictive Control for Eco-Driving Assistance Systems in Electric Vehicles > 15/06/2014 > 14/06/2017 > 2013
[University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit > ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)]
