Abstract
Abstract A joint operation method is proposed in this study for collaborative design of multi-type parameters in direct methanol fuel cell system. This method consists of adaptive numerical simulation for fuel cell operation and adaptive optimal design of the fuel cell system. The simulation key coefficients are designed to be changed following the multi-type parameters variations in order to achieve adaptive numerical simulation. An efficient optimization method surrogate-assisted meta-heuristic optimization algorithm is designed for adaptive optimal design. The data transmission would be realized between optimal design method and simulation process to serve for the joint operation process. The results show that adaptive numerical simulation could guarantee the simulation accuracy under different values of multi-type parameters. Meanwhile, the joint operation could significantly improve the efficiency for optimal design of parameters in DMFC system. Furthermore, the performance improvement has been validated by experiments with a 7.32% increment of energy conversion performance.
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