Parametric optimization and control toward the design of a smart metal hydride refueling system
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2019 American Institute of Chemical Engineers In this paper, we present an extension of the parametric optimization and control (PAROC) framework toward the design of a novel smart metal hydride storage system. Both in silico and laboratory implementation are considered toward a smart prototype system application. In silico PAROC considerations include the development and validation of high-fidelity model and the derivation of explicit optimal feedback law through the solution of a receding horizon parametric optimization problem formulation. The derived explicit parametric control strategy is validated first in silico then in real time. A laboratory scale metal hydride hydrogen storage system is designed and built as a prototype to replicate the refueling process of a fuel cell electric vehicle (FCEV) in a hydrogen gas station. Integration of the explicit model predictive control feedback law into the prototype system creates a smart metal hydride storage technology that can be deployed for onboard hydrogen storage in an FCEV. The results obtained from the real-time implementation of the explicit feedback law demonstrate an effective thermal management of the refueling operation in a metal hydride system.
