Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions

Fernando V. Cerna, Mahdi Pourakbari-Kasmaei, Luis A. Gallego P.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
166 Downloads (Pure)

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 CO 2 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.

Original languageEnglish
Title of host publicationProceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018
EditorsMarcos de Sales Guerra Tsuzuki, Fabricio Junqueira
PublisherIEEE
Pages446-452
Number of pages7
ISBN (Electronic)9781538679951
DOIs
Publication statusPublished - 25 Jan 2019
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Industry Applications - São Paulo, Brazil
Duration: 12 Nov 201814 Nov 2018
Conference number: 13

Publication series

NameInternational Conference on Industry Applications
PublisherIEEE
ISSN (Print)2572-1445

Conference

ConferenceIEEE International Conference on Industry Applications
Abbreviated titleINDUSCON
CountryBrazil
CitySão Paulo
Period12/11/201814/11/2018

Keywords

  • Battery state of charge
  • Navigation modes
  • Performance of the HEVs
  • Scheduling of deliveries

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