An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition
Abstract Due to the growing emergence of vehicle electrification, agricultural tractor developers are launching hybrid powertrains in which energy management strategy (EMS) assumes a prominent role. This work mainly aims at developing an EMS for a plug‐in hybrid electric tractor (PHET) to minimise f...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi-IET
2021-12-01
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| Series: | IET Electrical Systems in Transportation |
| Online Access: | https://doi.org/10.1049/els2.12029 |
| _version_ | 1827079703166451712 |
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| author | Amin Ghobadpour Hossein Mousazadeh Sousso Kelouwani Nadjet Zioui Mohsen Kandidayeni Loïc Boulon |
| author_facet | Amin Ghobadpour Hossein Mousazadeh Sousso Kelouwani Nadjet Zioui Mohsen Kandidayeni Loïc Boulon |
| author_sort | Amin Ghobadpour |
| collection | DOAJ |
| description | Abstract Due to the growing emergence of vehicle electrification, agricultural tractor developers are launching hybrid powertrains in which energy management strategy (EMS) assumes a prominent role. This work mainly aims at developing an EMS for a plug‐in hybrid electric tractor (PHET) to minimise fuel consumption and increase the operating range. The developed off‐road PHET power sources are composed of a biogas‐fuelled Internal Combustion Engine Generator (Bio‐Gen), a photovoltaic system, and a battery pack. To control the power flow among different sources, a two‐layer EMS is formulated. In this regard, initially, the farm operating mode is recognised by means of classification of a working cycle's features. Then, a control strategy based on a multi‐mode fuzzy logic controller (MFLC) is employed to manage the power flow. At each sequence, the classifier identifies the farm operation condition and accordingly activates the relative mode of the MFLC to meet the requested power from the Bio‐Gen. The performance of the proposed EMS has been evaluated based on three real‐world typical agricultural working cycles. The results demonstrate the successful performance of the proposed intelligent EMS under farm conditions by maintaining the energy sources' operation in a high‐efficiency zone which can lead to the extension of the working range and decrease fuel consumption. |
| first_indexed | 2024-03-09T07:41:16Z |
| format | Article |
| id | doaj.art-73003be28c834e4a8aabe6e2071fe215 |
| institution | Directory Open Access Journal |
| issn | 2042-9738 2042-9746 |
| language | English |
| last_indexed | 2025-03-20T02:49:46Z |
| publishDate | 2021-12-01 |
| publisher | Hindawi-IET |
| record_format | Article |
| series | IET Electrical Systems in Transportation |
| spelling | doaj.art-73003be28c834e4a8aabe6e2071fe2152024-10-03T07:27:46ZengHindawi-IETIET Electrical Systems in Transportation2042-97382042-97462021-12-0111433334710.1049/els2.12029An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognitionAmin Ghobadpour0Hossein Mousazadeh1Sousso Kelouwani2Nadjet Zioui3Mohsen Kandidayeni4Loïc Boulon5Department of Electrical and Computer Engineering Université du Québec à Trois‐Rivières Trois‐rivieres QC CanadaDepartment of Mechanical Engineering of Biosystems University of Tehran Karaj IranDepartment of Mechanical Engineering Université du Québec à Trois‐Rivières Trois‐rivieres QC CanadaDepartment of Mechanical Engineering Université du Québec à Trois‐Rivières Trois‐rivieres QC CanadaDepartment of Electrical and Computer Engineering Université du Québec à Trois‐Rivières Trois‐rivieres QC CanadaDepartment of Electrical and Computer Engineering Université du Québec à Trois‐Rivières Trois‐rivieres QC CanadaAbstract Due to the growing emergence of vehicle electrification, agricultural tractor developers are launching hybrid powertrains in which energy management strategy (EMS) assumes a prominent role. This work mainly aims at developing an EMS for a plug‐in hybrid electric tractor (PHET) to minimise fuel consumption and increase the operating range. The developed off‐road PHET power sources are composed of a biogas‐fuelled Internal Combustion Engine Generator (Bio‐Gen), a photovoltaic system, and a battery pack. To control the power flow among different sources, a two‐layer EMS is formulated. In this regard, initially, the farm operating mode is recognised by means of classification of a working cycle's features. Then, a control strategy based on a multi‐mode fuzzy logic controller (MFLC) is employed to manage the power flow. At each sequence, the classifier identifies the farm operation condition and accordingly activates the relative mode of the MFLC to meet the requested power from the Bio‐Gen. The performance of the proposed EMS has been evaluated based on three real‐world typical agricultural working cycles. The results demonstrate the successful performance of the proposed intelligent EMS under farm conditions by maintaining the energy sources' operation in a high‐efficiency zone which can lead to the extension of the working range and decrease fuel consumption.https://doi.org/10.1049/els2.12029 |
| spellingShingle | Amin Ghobadpour Hossein Mousazadeh Sousso Kelouwani Nadjet Zioui Mohsen Kandidayeni Loïc Boulon An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition IET Electrical Systems in Transportation |
| title | An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition |
| title_full | An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition |
| title_fullStr | An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition |
| title_full_unstemmed | An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition |
| title_short | An intelligent energy management strategy for an off‐road plug‐in hybrid electric tractor based on farm operation recognition |
| title_sort | intelligent energy management strategy for an off road plug in hybrid electric tractor based on farm operation recognition |
| url | https://doi.org/10.1049/els2.12029 |
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