Combining a Fuel Cell (FC), as primary power source, with a Battery Energy System (BES), as an auxiliary source, for high power demands is a promising approach for future hybrid electric vehicles (HEV). The powertrain control strategy and the component sizing significantly affect the vehicle performance, cost, vehicle efficiency and fuel economy. This paper presents a developed control strategy for optimising the power sharing between sources and components sizing by using Particle Swarm Optimisation (PSO) algorithm. This control strategy implemented on FC/Battery hybrid electric vehicle in order to achieve the best performance with minimum fuel consumption and minimum powertrain components sizing for a given driving cycle with high efficiency. The powertrain and the proposed control strategy have been simulated by Matlab/Simulink. The simulation results have demonstrated that the optimal sizing of the powertrain of FC/battery components and the minimum fuel consumption have been improved by applying the PSO control strategy. As is clear from results, it is possible to significantly improve the hydrogen consumption in FC attery HEVs compared with the pure FC case without battery: 14.34% on NEDC (New European Driving Cycle) and 13.58% on FTP75 (Federal Test Procedure, year 1975). By analysing and comparing the results, it is shown that the CSPSO (Clustering-aided Simplex Particle Swarm Optimization) is more efficient than other control strategies to minimise the hydrogen consumption while maintaining the battery SOC (State of Charge). These observations show that PSO can be applied for a wide range of the vehicular system applications.


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    Title :

    Optimal power management and powertrain components sizing of fuel cell/battery hybrid electric vehicles based on particle swarm optimisation


    Additional title:

    Optimales Energiemanagement und Auslegung von Antriebstrangkomponenten bei Brennstoffzellen-Hybridfahrzeugen mit Hilfe des PSO-Verfahrens


    Contributors:

    Published in:

    Publication date :

    2012


    Size :

    23 Seiten, 19 Bilder, 3 Tabellen, 20 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English