A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process

Wang, Zhuo; Wei, Wei; Langari, Reza; Yan, Qingdong

doi:10.1109/access.2021.3057494

Cited by 10 publications

(1 citation statement)

References 33 publications

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“…The internal flow field of the hydrodynamic retarder discharging valve are affected by the spool displacement [24]. To obtain the velocity field of the valve under different spool displacements and pressure differences, a steady-state flow simulation by CFD was conducted first, as shown in Figure 1.…”

Section: Methodology 21 Discharging Valve Simulationmentioning

confidence: 99%

A Study on Using Location-Information-Based Flow Field Reconstruction to Model the Characteristics of a Discharging Valve in a Hydrodynamic Retarder

et al. 2023

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In modeling the characteristics of a discharging valve in a hydrodynamic retarder, it is commonly required to determine the value of the flow area to calculate the force on the spool. However, the flow area often relies heavily on empirical or simulation data, which leads to increased uncertainty and computational cost, especially with the variation in the spool displacement. To overcome these shortcomings, Res-SE-U-Nets (networks that combine residual connections, squeeze-and-excitation blocks, and U-Net) are used to reconstruct the velocity field, and they have shown exceptional performance in image-to-image mapping tasks. The dataset of computational fluid dynamics (CFD) results for the velocity field is collected and verified using particle image velocimetry (PIV). The results show that Res-SE-U-Nets can capture the location information of the flow field using a training set of only 120 data points. By utilizing location information in velocity field reconstruction, the flow area can be directly obtained under different spool displacements and pressures to calculate the spool force. The valve characteristics calculated with this method show an error of less than 2% when compared with CFD results, which confirms the validity and effectiveness of this method. The proposed method, which utilizes location information extracted from flow field prediction results, is capable of calculating valve characteristics. This approach also demonstrates the feasibility of using Res-SE-U-Nets for flow field reconstruction.

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Section: Methodology 21 Discharging Valve Simulationmentioning

confidence: 99%

A Study on Using Location-Information-Based Flow Field Reconstruction to Model the Characteristics of a Discharging Valve in a Hydrodynamic Retarder

et al. 2023

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Testing and performance analysis of an integrated electromagnetic and hydraulic retarder for heavy-duty vehicles

Zhang,

Shang,

et al. 2023

Engineering Applications of Artificial Intelligence

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Mathematical model of a hydraulic retarder based on Rankine–vortex dynamics

Huang,

2023

Physics of Fluids

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Accurate theoretical models of actuators are crucial for researching autonomous driving in heavy-duty commercial vehicles (HDCVs). A hydraulic retarder is a widely used auxiliary braking device in HDCVs that prevents thermal failure of the main brake resulting from continuous braking. The working chamber and the control system are closely interconnected within the hydraulic retarder, forming a highly nonlinear system. Therefore, most mathematical models for predicting the braking torque of hydraulic retarders have separated the working chamber from the control systems, making it difficult to explain the differences between the hydraulic retarder's predicted and actual performance. This paper establishes a novel mathematical model incorporating the working chamber and control system analysis for a hydraulic retarder based on Rankine vortex dynamics. A functional relationship was obtained between the hydraulic retarder's braking torque and the rotor speed, control pressure, float chamber pressure, oil density, and characteristic parameters of the working chamber. The mathematical model has been verified through computational fluid dynamics (CFD) and experiments. CFD results show the velocity distribution of oil vortex flow in the working chamber, and the variation laws of the fundamental parameters are consistent with the established mathematical model. The average errors between the mathematical model calculated and experimental braking torque are 6.3%, 9.5%, 11.8%, and 4.2% at control pressures of 2.8, 2.2, 1.4, and 0.6 bar, respectively, confirming the mathematical model's effectiveness. The mathematical model holds significant value for the design and development of hydraulic retarders and the control strategies of HDCVs with hydraulic retarders.

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A Prediction Model Based on Artificial Neural Network for the Temperature Performance of a Hydrodynamic Retarder in Constant-Torque Braking Process

Cited by 10 publications

References 33 publications

A Study on Using Location-Information-Based Flow Field Reconstruction to Model the Characteristics of a Discharging Valve in a Hydrodynamic Retarder

A Study on Using Location-Information-Based Flow Field Reconstruction to Model the Characteristics of a Discharging Valve in a Hydrodynamic Retarder

Testing and performance analysis of an integrated electromagnetic and hydraulic retarder for heavy-duty vehicles

Mathematical model of a hydraulic retarder based on Rankine–vortex dynamics

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