Evaluation of the Performance of HEV Technologies using a MILP Model to Minimize Pollutants Emissions

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Author(s):	Cerna, Fernando V. ; Pourakbari-Kasmaei, Mahdi ; Gallego, Luis A. P. ; Tsuzuki, MDG ; Junqueira, F Total Authors: 5
Document type:	Journal article
Source:	2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON); v. N/A, p. 7-pg., 2018-01-01.
Abstract
This paper presents a mixed integer linear programming (MILP) model to optimizing the maintenance costs during the operation of the hybrid electric vehicles (HEVs) aiming at reducing CO2 emissions during operating along of the day. This target is obtained by an appropriate selection of navigation modes and the optimal scheduling of deliveries. The proposed model considers the average speed, battery state of charge (SOC), and the set of deliveries to be made by each type of HEV. A set of constraints that ensures the performance of the HEVs is considers while the uncertainties of the trip on each urban road are modeled using the traffic density values according to the levels of service (LOS). The proposed model is implemented in AMPL and solved using the solver CPLEX showed the effectiveness in the evaluation of each type of HEV technology. (AU)

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