An Optimal Sizing Methodology for Fuel Cell Hybrid Trucks.

Asier Alonso Tejeda, Borja Hériz Revuelta, Miguel Allende Marcos, Iban Vicente-Makazaga, Pablo Prieto Arce,Joshué Pérez Rastelli

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)（2023）

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摘要

Fuel Cell Serial Hybrid heavy-duty trucks are expected to progressively replace diesel trucks due to their negative contribution to climate change. This transition entails adapting the actual fleets to new layouts, which requires an accurate sizing of the new components. Hence, in this paper a digital twin of a fuel cell hybrid truck is developed and a route-dependant process for finding the optimal sizing of the battery and the fuel cell is proposed. Three different optimization algorithms (gradient descent, pattern search and simplex search) are described, studied and their results are comprehensively compared.

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关键词

Fuel Cell,Fuel Cell Hybrid,Optimization Algorithm,Gradient Descent,Pattern Search,Digital Twin,Simplex Algorithm,Cost Function,Operational Costs,Maximum Power,Electric Power,Design Parameters,State Of Charge,Search Method,Electrical Engineering,Forward Model,Proportional-integral-derivative,Gradient Descent Method,Battery Capacity,Acquisition Costs,Charging Power,Battery Energy,Types Of Batteries,Hydrogen Consumption,Weight In Kg,Hybrid Electric Vehicles,Latin Hypercube Sampling,Magic Formula,Vehicle Operation,Municipal Solid Waste

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