Optimal Selection of Navigation Modes of HEVs considering CO2 Emissions Reduction
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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2019-03
Major/Subject
Mcode
Degree programme
Language
en
Pages
11
2196-2206
2196-2206
Series
IEEE Transactions on Vehicular Technology, Volume 68, issue 3
Abstract
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.Description
Keywords
Efficient battery charging, Optimal selection navigation modes, optimal scheduling of deliveries, Operating strategy
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Citation
Cerna, F V, Pourakbari-Kasmaei, M, Contreras, J & Gallego, L A 2019, ' Optimal Selection of Navigation Modes of HEVs considering CO 2 Emissions Reduction ', IEEE Transactions on Vehicular Technology, vol. 68, no. 3, 8620548, pp. 2196-2206 . https://doi.org/10.1109/TVT.2019.2894383
