Modeling of a Hybrid Fuel Cell Powertrain with Power Split Logic for Onboard Energy Management Using a Longitudinal Dynamics Simulation Tool

Laura Zecchi (), Giulia Sandrini, Marco Gadola and Daniel Chindamo
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Laura Zecchi: Department of Information Engineering, University of Brescia, I-25123 Brescia, Italy
Giulia Sandrini: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy
Marco Gadola: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy
Daniel Chindamo: Department of Mechanical and Industrial Engineering, University of Brescia, I-25123 Brescia, Italy

Energies, 2022, vol. 15, issue 17, 1-18

Abstract: This work aims to develop a mathematical model for the simulation of a fuel cell (FC) hybrid powertrain. The work starts from modeling a single cell to obtain information on the entire FC stack. The model obtained was integrated into a simulation tool presented in the literature that simulates the longitudinal dynamics of auxiliary power unit hybrid electric vehicles and fully electric vehicles. Therefore, the integrated model allows the simulation of hybrid vehicles equipped with FC and a battery pack that acts as a peak power source. The tool simulates the mechanical and electrical behavior of the vehicle, introducing an investigation of the power flows relating to the FC and batteries. An appropriate power split logic has been implemented, allowing the correct management of the power distribution between the FC and the batteries. The importance of analyzing FC vehicles’ behavior arises from the recent necessity to find alternative propulsion systems, overcoming the range problems associated with fully electric vehicles. The innovation lies in the versatility and modularity of the model, which is open to modifications and features a low computational burden, making it suitable for testing new solutions by performing first design and sizing calculations.

Keywords: mathematical modelling; performance prediction; control strategy; energy consumption; alternative propulsion (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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