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Sizing for fuel cell/supercapacitor hybrid vehicles based on stochastic driving cycles

Author:
Feroldi, Diego, Carignano, Mauro
Source:
Applied energy 2016 v.183 pp. 645-658
ISSN:
0306-2619
Subject:
algorithms, dynamic programming, energy, fuel cells, vehicles (equipment)
Abstract:
In this article, a methodology for the sizing and analysis of fuel cell/supercapacitor hybrid vehicles is presented. The proposed sizing methodology is based on the fulfilment of power requirements, including sustained speed tests and stochastic driving cycles. The procedure to generate driving cycles is also presented in this paper. The sizing algorithm explicitly accounts for the Equivalent Consumption Minimization Strategy (ECMS). The performance is compared with optimal consumption, which is found using an off-line strategy via Dynamic Programming. The sizing methodology provides guidance for sizing the fuel cell and the supercapacitor number. The results also include analysis on oversizing the fuel cell and varying the parameters of the energy management strategy. The simulation results highlight the importance of integrating sizing and energy management into fuel cell hybrid vehicles.
Agid:
5626814