Real-Time Optimal Control for Eco-Driving and Powertrain Energy Management

Nick A. Smit, Y.J.J. Heuts, O.F. Hulsebos, M.C.F. (Tijs) Donkers

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelpeer review

1 Citaat (Scopus)
59 Downloads (Pure)

Samenvatting

This paper presents a real-time receding-horizon control solution for the optimal control problem on combined eco-driving and powertrain energy management for a series-hybrid electric vehicle. By defining the optimal control problem in the spatial domain, discretizing the dynamics and applying several relaxations to the constraints, the problem is formulated as a second-order cone problem. The online real-time solution is achieved through the reformulation into a receding horizon control problem. To reduce computational complexity, several move-blocking strategies are applied. Combining powertrain control of the hybrid powertrain with eco-driving, leads to a reduction of 33.7%, compared to only applying energy management.
Originele taal-2Engels
Pagina's (van-tot)10472-10477
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume56
Nummer van het tijdschrift2
DOI's
StatusGepubliceerd - 1 jul. 2023
Evenement22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan
Duur: 9 jul. 202314 jul. 2023
Congresnummer: 22
https://www.ifac2023.org/

Vingerafdruk

Duik in de onderzoeksthema's van 'Real-Time Optimal Control for Eco-Driving and Powertrain Energy Management'. Samen vormen ze een unieke vingerafdruk.

Citeer dit