| Data-driven Modeling for Forecasting Brake System Limits in Fuel Cell Heavy-duty Trucks |
| Seongjae Mun1, Jinhui Park2, Hongwoo Lee2, Changsun Ahn1 |
1School of Mechanical Engineering, Pusan National University, Pusan 46241, Korea
2Hyundai Motor Company, 150 HyundaiYeonguso-ro, Namyang-Eup, Hwaseong-si 18280, Gyeonggi, Korea |
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Received: December 9, 2024; Revised: February 9, 2025 Accepted: April 8, 2025. Published online: May 19, 2025. |
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| ABSTRACT |
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This study introduces a modeling approach to forecast brake operational limits in fuel cell heavy-duty trucks using field test data. Traditional braking system evaluation, which relies on time-consuming and costly field and dynamometer tests, is challenged by the complexity of fuel cell heavy-duty trucks, particularly the interaction between the braking and energy systems facilitated by regenerative braking. By utilizing data-driven models, this research significantly reduces the complexity of modeling these systems. The developed model, validated against real-world downhill driving scenarios, demonstrates an exceptional accuracy rate of approximately 99% in forecasting brake limit points. This method not only offers a highly reliable tool for forecasting brake operational limits but also helps optimize vehicle design and efficiency, contributing to the advancement of sustainable transportation solutions. |
| Key Words:
Fuel cell heavy-duty truck · Braking system modeling · Simulation · Braking limit point · Retarder oil temperature |
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Corresponding Author.
Changsun Ahn , Email. 
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