Integration of the road slope in the optimization of the energy management strategy of a parallel HEV

Pam, Abdoulaye (Université de Lille, Arts et Métiers ParisTech, Lille, France ; Sherpa Engineering, La Garenne-Colombes, France ; MEGEVH, Franch Network on HEVs, France) ; Bouscaryol, Alain (Université de Lille, Arts et Métiers ParisTech, Lille, France ; MEGEVH, Franch Network on HEVs, France) ; Fiani, Philippe (Sherpa Engineering, La Garenne-Colombes, France) ; Faval, Fabien (Sherpa Engineering, La Garenne-Colombes, France) ; Barrade, Philippe (School of Engineering, HES-SO Valais-Wallis, HEI, HES-SO // University of Applied Sciences Western Switzerland)

Optimization methods for Energy Management Strategy (EMS) are more and more used to minimize the fuel consumption of Hybrid Electric Vehicles (HEV). For off-line techniques, such as dynamic programming, from a given driving cycle, an algorithm is defined to determine the optimal power flows of the vehicle. Most of the time, the optimization is achieved by not considering the resistive force due to the road slope, which can be very high in certain roads depending on the mass of the vehicle. This paper aims to quantify the accurate fuel consumption economy when the road slope is integrated or not in the EMS optimization problem of a parallel HEV using dynamic programming.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEI-VS
Institute:
Institut Systèmes industriels
Date:
2019-06
Pagination:
6 p.
Published in:
IFAC-PapersOnLine
Numeration (vol. no.):
2019, vol. 52, no. 5, pp. 28-33
DOI:
ISSN:
2405-8963
Appears in Collection:



 Record created 2020-01-21, last modified 2020-01-21

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