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学者姓名：魏凌涛
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Abstract ：
The growing demand for energy efficiency, environmental protection in the heavy transportation sector, particularly in large-scale projects, highlights the importance of improving steering systems for vehicles. A pump- controlled electro-hydraulic steering system is proposed, offering significant advantages in energy efficiency under high power. However, it leading to soft speed-load characteristics, reduced circuit stiffness, and compromised performance. To address challenges, an improved back-pressure-controllable BPC-PC-EHSS is introduced, the dynamic and power flow models are established. But it increases power loss, conflicting with the energy-saving objectives. Therefore, back-pressure parameter identification that balances both high performance and low energy-consumption is crucial. The energy-saving boundary is analyzed using the hydraulic conductivity factor, a parallel-input multilayer neural network (PIM-NN) is designed for nonlinear system back-pressure identification. Experimental results show that the proposed system significantly improves steering performance and energy-efficiency with minimal change in pump peak pressure and reduced pressure-vibrations. Specifically, under 6 tons load the error is 1 degrees,which is improved by 55.6 % compared to the non- identification. Compared with valve-controlled and pump-valve systems under same-typical-conditions, significant energy-saving advantages and steering economy are demonstrated. Additionally, the real-world driving hardware environment is reconstructed, it is validated that the total steering input energy is reduced by 76.19 % on the experimental road.
Keyword ：
Electro-hydraulic steering system Electro-hydraulic steering system Energy-efficient parameter identification Energy-efficient parameter identification Heavy-duty multi-axle wheeled vehicle Heavy-duty multi-axle wheeled vehicle Multi-layer neural network Multi-layer neural network Realistic driving simulation Realistic driving simulation Variable-speed pump control Variable-speed pump control
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| GB/T 7714 | Xu, Jun , Du, Heng , Zhou, Shizhao et al. Energy-efficient design and power flow analysis of electro-hydraulic steering systems for heavy-duty wheeled vehicles via parameter identification [J]. | ENERGY , 2025 , 322 . |
| MLA | Xu, Jun et al. "Energy-efficient design and power flow analysis of electro-hydraulic steering systems for heavy-duty wheeled vehicles via parameter identification" . | ENERGY 322 (2025) . |
| APA | Xu, Jun , Du, Heng , Zhou, Shizhao , Wei, Lingtao , Chen, Peiyang , Zheng, Yulan . Energy-efficient design and power flow analysis of electro-hydraulic steering systems for heavy-duty wheeled vehicles via parameter identification . | ENERGY , 2025 , 322 . |
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