Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle

All recent technological developments in the field of power distribution in hybrid electric tracked vehicles are often hard to apply and carry high computational burden which makes them impractical for real-time applications. In this paper, a novel control strategy is proposed for parallel hybrid el...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Milićević Stefan V., Blagojević Ivan A., Muždeka Slavko R.
Formato:	article
Lenguaje:	EN
Publicado:	University of Belgrade - Faculty of Mechanical Engineering, Belgrade 2021
Materias:	energy management hybrid tracked vehicle thermostat strategy power follower strategy rule-based control energy efficiency Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359
Acceso en línea:	https://doaj.org/article/722a261376b6402ebb0c7081eda245e8
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:722a261376b6402ebb0c7081eda245e8
record_format	dspace
spelling	oai:doaj.org-article:722a261376b6402ebb0c7081eda245e82021-12-05T21:01:45ZAdvanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle1451-20922406-128X10.5937/fme2103711Mhttps://doaj.org/article/722a261376b6402ebb0c7081eda245e82021-01-01T00:00:00Zhttps://scindeks-clanci.ceon.rs/data/pdf/1451-2092/2021/1451-20922103711M.pdfhttps://doaj.org/toc/1451-2092https://doaj.org/toc/2406-128XAll recent technological developments in the field of power distribution in hybrid electric tracked vehicles are often hard to apply and carry high computational burden which makes them impractical for real-time applications. In this paper, a novel control strategy is proposed for parallel hybrid electric tracked vehicle based on robust and easy to implement thermostat strategy with added merits of power follower control strategy (PFCS). The goal of the control strategy is enhanced fuel economy. Serbian infantry fighting vehicle BVP M80-A is chosen as the reference vehicle. For the purpose of validation, a backward-looking, high fidelity model is created in Simulink environment. Investigation of the results indicates that the proposed control strategy offers 12.8% better fuel economy while effectively maintaining battery state of charge (SOC). Even better results (23.2%) were achieved applying the proposed strategy to a model with an additional generator. It is concluded that further improvements can be made with combined sizing and control optimization.Milićević Stefan V.Blagojević Ivan A.Muždeka Slavko R.University of Belgrade - Faculty of Mechanical Engineering, Belgradearticleenergy managementhybrid tracked vehiclethermostat strategypower follower strategyrule-based controlenergy efficiencyEngineering (General). Civil engineering (General)TA1-2040Mechanics of engineering. Applied mechanicsTA349-359ENFME Transactions, Vol 49, Iss 3, Pp 711-718 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	energy management hybrid tracked vehicle thermostat strategy power follower strategy rule-based control energy efficiency Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359
spellingShingle	energy management hybrid tracked vehicle thermostat strategy power follower strategy rule-based control energy efficiency Engineering (General). Civil engineering (General) TA1-2040 Mechanics of engineering. Applied mechanics TA349-359 Milićević Stefan V. Blagojević Ivan A. Muždeka Slavko R. Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
description	All recent technological developments in the field of power distribution in hybrid electric tracked vehicles are often hard to apply and carry high computational burden which makes them impractical for real-time applications. In this paper, a novel control strategy is proposed for parallel hybrid electric tracked vehicle based on robust and easy to implement thermostat strategy with added merits of power follower control strategy (PFCS). The goal of the control strategy is enhanced fuel economy. Serbian infantry fighting vehicle BVP M80-A is chosen as the reference vehicle. For the purpose of validation, a backward-looking, high fidelity model is created in Simulink environment. Investigation of the results indicates that the proposed control strategy offers 12.8% better fuel economy while effectively maintaining battery state of charge (SOC). Even better results (23.2%) were achieved applying the proposed strategy to a model with an additional generator. It is concluded that further improvements can be made with combined sizing and control optimization.
format	article
author	Milićević Stefan V. Blagojević Ivan A. Muždeka Slavko R.
author_facet	Milićević Stefan V. Blagojević Ivan A. Muždeka Slavko R.
author_sort	Milićević Stefan V.
title	Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
title_short	Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
title_full	Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
title_fullStr	Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
title_full_unstemmed	Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
title_sort	advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle
publisher	University of Belgrade - Faculty of Mechanical Engineering, Belgrade
publishDate	2021
url	https://doaj.org/article/722a261376b6402ebb0c7081eda245e8
work_keys_str_mv	AT milicevicstefanv advancedrulebasedenergymanagementforbetterfueleconomyofhybridelectrictrackedvehicle AT blagojevicivana advancedrulebasedenergymanagementforbetterfueleconomyofhybridelectrictrackedvehicle AT muzdekaslavkor advancedrulebasedenergymanagementforbetterfueleconomyofhybridelectrictrackedvehicle
_version_	1718371007462375424

Advanced rule-based energy management for better fuel economy of hybrid electric tracked vehicle

Ejemplares similares