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.

doi:10.1109/INDUSCON.2018.8627221

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.

Department of Electrical Engineering and Automation

State University of Londrina (UEL)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

2 Citations (Scopus)

233 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 language	English
Title of host publication	Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018
Editors	Marcos de Sales Guerra Tsuzuki, Fabricio Junqueira
Publisher	IEEE
Pages	446-452
Number of pages	7
ISBN (Electronic)	9781538679951
DOIs	https://doi.org/10.1109/INDUSCON.2018.8627221
Publication status	Published - 25 Jan 2019
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Industry Applications - São Paulo, Brazil Duration: 12 Nov 2018 → 14 Nov 2018 Conference number: 13

Publication series

Name	International Conference on Industry Applications
Publisher	IEEE
ISSN (Print)	2572-1445

Conference

Conference	IEEE International Conference on Industry Applications
Abbreviated title	INDUSCON
Country/Territory	Brazil
City	São Paulo
Period	12/11/2018 → 14/11/2018

Keywords

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

Access to Document

10.1109/INDUSCON.2018.8627221

ELEC_Cerna_etal_Evaluation-of-the-Performance-of-HEV_INDUSCON_2018Accepted author manuscript, 1.04 MB

Cite this

Cerna, F. V., Pourakbari-Kasmaei, M., & Gallego P., L. A. (2019). Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. In M. de Sales Guerra Tsuzuki, & F. Junqueira (Eds.), Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018 (pp. 446-452). Article 8627221 (International Conference on Industry Applications). IEEE. https://doi.org/10.1109/INDUSCON.2018.8627221

Cerna, Fernando V. ; Pourakbari-Kasmaei, Mahdi ; Gallego P., Luis A. / Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018. editor / Marcos de Sales Guerra Tsuzuki ; Fabricio Junqueira. IEEE, 2019. pp. 446-452 (International Conference on Industry Applications).

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title = "Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions",

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. ",

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author = "Cerna, {Fernando V.} and Mahdi Pourakbari-Kasmaei and {Gallego P.}, {Luis A.}",

year = "2019",

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Cerna, FV, Pourakbari-Kasmaei, M & Gallego P., LA 2019, Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. in M de Sales Guerra Tsuzuki & F Junqueira (eds), Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018., 8627221, International Conference on Industry Applications, IEEE, pp. 446-452, IEEE International Conference on Industry Applications, São Paulo, Brazil, 12/11/2018. https://doi.org/10.1109/INDUSCON.2018.8627221

Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. / Cerna, Fernando V.; Pourakbari-Kasmaei, Mahdi; Gallego P., Luis A.
Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018. ed. / Marcos de Sales Guerra Tsuzuki; Fabricio Junqueira. IEEE, 2019. p. 446-452 8627221 (International Conference on Industry Applications).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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PY - 2019/1/25

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N2 - 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.

AB - 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.

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Cerna FV, Pourakbari-Kasmaei M, Gallego P. LA. Evaluation of the performance of HEV technologies using a MILP model to minimize pollutants emissions. In de Sales Guerra Tsuzuki M, Junqueira F, editors, Proceedings of the 13th IEEE International Conference on Industry Applications, INDUSCON 2018. IEEE. 2019. p. 446-452. 8627221. (International Conference on Industry Applications). doi: 10.1109/INDUSCON.2018.8627221

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

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