Study and performances analysis of fuel cell assisted vector control variable speed drive system used for electric vehicles

Pachauri, Rupendra Kumar; Chauhan, Yogesh K.

doi:10.1080/14786451.2015.1017495

Cited by 6 publications

(1 citation statement)

References 35 publications

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“…Among these, fuel cell technology generates direct current (DC) electrical power from the electrochemical processes, 1,2 and it is coming up very fast as this is portable, flexible, noise‐free, and low carbon emissive 3,4 . There are various types of fuel cells, 5‐8 out of which the solid oxide fuel cell (SOFC) has the potential to grow in the power industry at a larger scale due to its high efficiency, fuel flexibility, and inexpensive catalyst use 9‐11 . However, SOFC has few drawbacks such as high operating temperature, operational constraints, large response time, and nonlinear behavior, that is, with the passage of time, its operating point changes.…”

Section: Introductionmentioning

confidence: 99%

Efficient control of a nonlinear solid oxide fuel cell system using an adaptive model predictive controller

Gupta

Pahwa

Verma

2021

Int Trans Electr Energ Syst

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Summary Over the years, the solid oxide fuel cell (SOFC) is growing commercially due to its high fuel flexibility, lesser maintenance requirement, and environmental friendliness feature. However, its control is challenging due to its nonlinear behavior and simultaneous management of its operational constraints. Therefore, in this work, an adaptive model predictive control is designed systematically to handle the SOFC's behavior while optimizing its operational constraints such as fuel input, utilization factor, and change in pressure of hydrogen and oxygen. This model‐oriented control linearizes, augments, and discretizes the SOFC during run time while estimating the states using a time‐varying Kalman filter. Finally, it optimizes the control problem for predicting the internal states of the SOFC using successive linearization. The simulation results show that the proposed controller gives better performance of the SOFC in linear region, and significantly improved performance in nonlinear region in comparison to the conventional model predictive controller. The validation of the work has been done through real‐time simulation using OPAL‐RT's hardware setup. Using such control is beneficial as it enhances the efficiency of the SOFC significantly. Thus, this advanced controller is most suited for these kinds of nonlinear systems due to its superior performance.

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Section: Introductionmentioning

confidence: 99%