PROJECT TITLE :
On the Design of Robust Energy Management Strategies for FCHEV
During this paper, we tend to analyze the constraints that impose the presence of uncertainty in the design of optimal energy management methods (EMSs) for fuel cell (FC) hybrid electric vehicles. Using an electric powertrain constituted by a hydrogen FC and a battery bank, the fuel consumption minimization drawback is analyzed within the presence of parametric uncertainty. The conditions that guarantee that the nominal optimization problem matches the solution of the $64000 (unknown) optimization downside are clearly stated. By observing that the uncertainty can limit the possible solutions of the minimization consumption drawback, supervisory control constituted by heuristic rules is proposed to face such limitations, ensuing in an exceedingly mixed optimal–heuristic EMS. The result of the powertrain style, driving cycle, and initial conditions within the proposed strategy is mentioned. Numerical simulations give proof of the advantages and features of the supervisory control strategy.
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