Optimal Selection of Navigation Modes of HEVs considering CO2 Emissions Reduction

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

Tutkijat

Organisaatiot

  • State University of Londrina (UEL)
  • University of Castilla-La Mancha

Kuvaus

In this paper, a mixed-integer linear programming model is proposed to optimize hybrid electric vehicle (HEV) navigation modes on the city map, namely the problem of the optimal selection of navigation modes (OSNMs). The OSNMs problem of the HEV as part of the operating strategy is obtained considering a constraint set related to CO 2 emissions reduction, efficient battery charging, and the optimal scheduling of deliveries. Uncertainties in the HEV navigation on urban roads are modeled using probability values assigned to an established set of traffic density values according to the levels of service. The model is implemented in a mathematical programming language (AMPL) and solved using the commercial solver CPLEX. The case study considers real data related to the Prius Prime technology and shows the effectiveness of automating the HEV navigation modes considering CO 2 emissions reduction levels during an operating strategy.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli8620548
Sivut2196-2206
Sivumäärä11
JulkaisuIEEE Transactions on Vehicular Technology
Vuosikerta68
Numero3
TilaJulkaistu - maaliskuuta 2019
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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