Fuzzy Logic-Based Energy Management Strategy for a Hybrid Specialized Tractor

Agricultural tractors employed in vineyard, orchard and specialized cultivations are currently being investigated to assess their potential electrification, finding advantages and limitations to the adoption of electric and hybrid architectures. These vehicles, characterized by multiple loads, namely Power Take-Off (PTO), hydraulics, and auxiliaries, demand versatility and high maneuverability, and can be effectively considered all-purpose machines. In line with these electrification and hybridization trends, new architectures have been investigated and novel energy management strategies (EMS) have been implemented on-board for improved operations. In this paper, fuzzy logic is applied for the development of an effective rule-based energy strategy, aiming to optimize fuel consumption through engine operating point shift, while satisfying tractor loads and battery State-of-Charge (SOC) targets.

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Publication Details

Published
2025-04-09
DOI
https://doi.org/10.1109/wemdcd61816.2025.11014182
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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Fuzzy Logic-Based Energy Management Strategy for a Hybrid Specialized Tractor

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Electric and Hybrid Vehicle Technologies
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Fuzzy Logic-Based Energy Management Strategy for a Hybrid Specialized Tractor

Nicolò Federico Quattromini, Stefano Fiorati, Nicola Lenzini, Stefano Nuzzo, Davide Barater, Simone Ferrante
article en

Abstract

Agricultural tractors employed in vineyard, orchard and specialized cultivations are currently being investigated to assess their potential electrification, finding advantages and limitations to the adoption of electric and hybrid architectures. These vehicles, characterized by multiple loads, namely Power Take-Off (PTO), hydraulics, and auxiliaries, demand versatility and high maneuverability, and can be effectively considered all-purpose machines. In line with these electrification and hybridization trends, new architectures have been investigated and novel energy management strategies (EMS) have been implemented on-board for improved operations. In this paper, fuzzy logic is applied for the development of an effective rule-based energy strategy, aiming to optimize fuel consumption through engine operating point shift, while satisfying tractor loads and battery State-of-Charge (SOC) targets.

University of Modena and Reggio Emilia (IT)
Affordable and clean energy
Openalex Percentile: Top 87%
Electric and Hybrid Vehicle Technologies
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