The paper describes the development of an energetic model to define a hy-brid fuel cell + battery electric vehicle for performance analysis and the powertrain optimization. In fact, it is fundamental to balance battery power-train, also considering the higher mass needed for such type of energy stor-age systems. The purpose of the paper is to develop a model capable of evaluating the consumption of a vehicle with an electric motor, finding the optimal ratio between the number of cells of the battery and the hydrogen mass to be sent in a fuel cell, to ensure a given range of 800 km. The model also describes the repartition strategy between the Fuel-cell and the battery powertrain, to maximize the efficiency of both the systems, min-imizing the energy scraps due to low-efficiency operative points.

Modelling and Control of a Fuel Cell and Battery Electric Vehicle for Energy Optimization / Imberti, Giovanni; de Carvalho Pinheiro, Henrique; Carello, Massimiliana. - ELETTRONICO. - 164:(2024), pp. 163-170. (Intervento presentato al convegno Advances in Italian Mechanism Science tenutosi a Torino nel 11-13 September) [10.1007/978-3-031-64569-3_20].

Modelling and Control of a Fuel Cell and Battery Electric Vehicle for Energy Optimization

Imberti, Giovanni;de Carvalho Pinheiro, Henrique;Carello, Massimiliana
2024

Abstract

The paper describes the development of an energetic model to define a hy-brid fuel cell + battery electric vehicle for performance analysis and the powertrain optimization. In fact, it is fundamental to balance battery power-train, also considering the higher mass needed for such type of energy stor-age systems. The purpose of the paper is to develop a model capable of evaluating the consumption of a vehicle with an electric motor, finding the optimal ratio between the number of cells of the battery and the hydrogen mass to be sent in a fuel cell, to ensure a given range of 800 km. The model also describes the repartition strategy between the Fuel-cell and the battery powertrain, to maximize the efficiency of both the systems, min-imizing the energy scraps due to low-efficiency operative points.
2024
9783031645686
9783031645693
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2992621