Deriving Models from Field Test Data to Forecast Brake System Limits in Fuel Cell Heavy-Duty Trucks

Evaluating braking system limits is crucial in designing heavy-duty trucks, often requiring extensive time and resources through field and dynamometer testing. To reduce these demands, modeling approaches have been widely adopted. However, it faces challenges in complex configurations like fuel cell trucks due to interactions between brake and energy systems, particularly regenerative braking, a feature absent in conventional heavy-duty trucks. This paper presents a model that simplifies the representation of these systems in fuel cell trucks, using data-driven models based on field tests. It details constructing and validating a comprehensive brake system model specifically for downhill scenarios in fuel cell trucks, achieving around 99% accuracy in predicting brake limits.