Energy Management Strategy Based on State Feedback for Coaxial Parallel Hybrid Tractors

Hybrid tractors are a promising solution for reducing fuel consumption and emissions in agricultural machinery. However, their low-speed, high-torque operation with frequent load fluctuations demands an energy management strategy (EMS) that is both real-time capable and highly adaptive. This study focuses on a coaxial parallel hybrid electric tractor, developing a forward simulation model that integrates longitudinal vehicle dynamics, engine, motor, battery, and transmission systems. An improved equivalent fuel consumption minimization strategy (ECMS) with state-of-charge feedback correction, termed F-ECMS, is proposed. It dynamically adjusts the equivalence factor based on real-time battery SOC to approach optimal fuel economy while sustaining charge. Dynamic programming (DP) is used to establish a global benchmark. Simulations under a typical plowing cycle show that over 14,400 s, the F-ECMS maintains SOC (0.5964) close to the DP reference (0.6000), while achieving a 1.51% reduction in equivalent fuel consumption compared to a rule-based strategy. The results demonstrate that the proposed F-ECMS offers an effective balance between real-time performance and fuel economy, showing strong potential for practical implementation in hybrid agricultural vehicles.

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Publication Details

Journal
Applied Sciences
Published
2026-06-18
DOI
https://doi.org/10.3390/app16126176
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
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article

Energy Management Strategy Based on State Feedback for Coaxial Parallel Hybrid Tractors

Yang Xiao, Dehai Wang, Zhen Zhu, Hongwei Zhang
Applied Sciences
Electric and Hybrid Vehicle Technologies
article

Energy Management Strategy Based on State Feedback for Coaxial Parallel Hybrid Tractors

Yang Xiao, Dehai Wang, Zhen Zhu, Hongwei Zhang
article en

Abstract

Hybrid tractors are a promising solution for reducing fuel consumption and emissions in agricultural machinery. However, their low-speed, high-torque operation with frequent load fluctuations demands an energy management strategy (EMS) that is both real-time capable and highly adaptive. This study focuses on a coaxial parallel hybrid electric tractor, developing a forward simulation model that integrates longitudinal vehicle dynamics, engine, motor, battery, and transmission systems. An improved equivalent fuel consumption minimization strategy (ECMS) with state-of-charge feedback correction, termed F-ECMS, is proposed. It dynamically adjusts the equivalence factor based on real-time battery SOC to approach optimal fuel economy while sustaining charge. Dynamic programming (DP) is used to establish a global benchmark. Simulations under a typical plowing cycle show that over 14,400 s, the F-ECMS maintains SOC (0.5964) close to the DP reference (0.6000), while achieving a 1.51% reduction in equivalent fuel consumption compared to a rule-based strategy. The results demonstrate that the proposed F-ECMS offers an effective balance between real-time performance and fuel economy, showing strong potential for practical implementation in hybrid agricultural vehicles.

Applied SciencesVol. 16(12)
Jiangsu University (CN), State Key Laboratory of Vehicle NVH and Safety Technology (CN), Zhejiang University (CN)
Openalex Percentile: Top 9%
Electric and Hybrid Vehicle Technologies
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Energy Management Strategy Based on State Feedback for Coaxial Parallel Hybrid Tractors — Yang Xiao, Dehai Wang, et al. · Applied Sciences (2026) | TGRS Research Map | TGRS