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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Optimal Selection of Navigation Modes of HEVs Considering CO2 Emissions Reduction

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Author(s):
Cerna, Fernando V. [1] ; Pourakbari-Kasmaei, Mahdi [2] ; Contreras, Javier [3] ; Gallego, Luis A. [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Londrina, Dept Elect Engn, BR-86057970 Londrina - Brazil
[2] Aalto Univ, Dept Elect Engn & Automat, Espoo 02150 - Finland
[3] Univ Castilla La Mancha, Escuela Tecn Super Ingenieros Ind, E-13071 Ciudad Real - Spain
Total Affiliations: 3
Document type: Journal article
Source: IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY; v. 68, n. 3, p. 2196-2206, MAR 2019.
Web of Science Citations: 5
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 CO2 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 CO2 emissions reduction levels during an operating strategy. (AU)

FAPESP's process: 16/14319-7 - Online carbon footprint Allocation- a joint Price- and carbon Footprint: responsive demands model to reduce the GHG emissions and manage the electricity demand
Grantee:Mahdi Pourakbari Kasmaei
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor
FAPESP's process: 14/22828-3 - A mixed-integer nonlinear programming paradigm to solve multi fuel-based environmentally-constrained active-reactive optimal power flow
Grantee:Mahdi Pourakbari Kasmaei
Support Opportunities: Scholarships in Brazil - Post-Doctoral