Energy Management Strategy for Hydrogen Fuel Cell Tractors Integrating Online Dynamic Response Capability

Hydrogen fuel cell tractors (HFCTs) represent a critical frontier in the development of modern green agricultural equipment. Due to the heavy-duty and highly variable nature of tractor operations, current fuel cell-powered platforms face significant challenges, including insufficient energy sustainability and low-efficiency consumption. This study addresses the issues of sluggish dynamic response and durability degradation during complex plowing tasks through systematic power system modeling and energy management strategy (EMS) research. First, a control-oriented fuel cell model coupling mechanical inertia, manifold filling-and-emptying dynamics, and electrochemical reactions is established, which quantitatively reveals the physical boundaries of load-change ramp rates. On this basis, a multi-dimensional performance evaluation framework for HFCTs is constructed. This framework innovatively proposes fuel cell dynamic response indicators and a non-linear calculation model for continuous operational duration, achieving a non-linear mapping between onboard energy storage capacity and operating time for quantitative endurance assessment. Subsequently, guided by this evaluation system, a dynamic program considering the coordination of energy system durability and the energy consumption economy (DP-CoDE) is developed. By establishing an online update mechanism for power-change rates, synergistic optimization of system durability and economy is achieved based on the DP-CoDE strategy. Model-in-the-loop simulation results under plowing conditions demonstrate that, compared to the DP-CoDE strategy, the proposed strategy enhances response stability by 44.44% and reduces response tracking error by 41.17% at a marginal cost of only a 0.15% increase in total hydrogen consumption. These findings significantly improve the system’s tracking capability under transient complex loads and provide a robust theoretical foundation for the control system design of HFCTs.

Authors

Institutions

Publication Details

Journal
World Electric Vehicle Journal
Published
2026-02-26
DOI
https://doi.org/10.3390/wevj17030115
Primary Topic
Electric and Hybrid Vehicle Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Energy Management Strategy for Hydrogen Fuel Cell Tractors Integrating Online Dynamic Response Capability

Shenghui Lei, Mei Liu, Yanying Li, Yueze Wu et al.
World Electric Vehicle Journal
Electric and Hybrid Vehicle Technologies
article

Energy Management Strategy for Hydrogen Fuel Cell Tractors Integrating Online Dynamic Response Capability

Shenghui Lei, Mei Liu, Yanying Li, Yueze Wu, Liyou Xu
article en

Abstract

Hydrogen fuel cell tractors (HFCTs) represent a critical frontier in the development of modern green agricultural equipment. Due to the heavy-duty and highly variable nature of tractor operations, current fuel cell-powered platforms face significant challenges, including insufficient energy sustainability and low-efficiency consumption. This study addresses the issues of sluggish dynamic response and durability degradation during complex plowing tasks through systematic power system modeling and energy management strategy (EMS) research. First, a control-oriented fuel cell model coupling mechanical inertia, manifold filling-and-emptying dynamics, and electrochemical reactions is established, which quantitatively reveals the physical boundaries of load-change ramp rates. On this basis, a multi-dimensional performance evaluation framework for HFCTs is constructed. This framework innovatively proposes fuel cell dynamic response indicators and a non-linear calculation model for continuous operational duration, achieving a non-linear mapping between onboard energy storage capacity and operating time for quantitative endurance assessment. Subsequently, guided by this evaluation system, a dynamic program considering the coordination of energy system durability and the energy consumption economy (DP-CoDE) is developed. By establishing an online update mechanism for power-change rates, synergistic optimization of system durability and economy is achieved based on the DP-CoDE strategy. Model-in-the-loop simulation results under plowing conditions demonstrate that, compared to the DP-CoDE strategy, the proposed strategy enhances response stability by 44.44% and reduces response tracking error by 41.17% at a marginal cost of only a 0.15% increase in total hydrogen consumption. These findings significantly improve the system’s tracking capability under transient complex loads and provide a robust theoretical foundation for the control system design of HFCTs.

World Electric Vehicle JournalVol. 17(3)
Henan University of Science and Technology (CN), Fuyao Group (China) (CN)
Openalex Percentile: Top 44%
Electric and Hybrid Vehicle Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.