Abstract
Modeling of fuel cell characteristics is a major challenge, researchers are addressing day by day to solve due to its non-linear characteristics in nature. Hence, to solve this problem which is in existence for over a decade, the authors have deduced an objective function by employing Artificial Immune System (AIS) optimization technique. The attained results using the proposed approach is compared with the expected results as per the manufactures data sheet and also tested under various operating conditions of temperature and pressure. Furthermore, to provide a comprehensive evaluation, results obtained with AIS algorithm are compared with other renowned algorithms employing the conventional curve fitting technique.
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Thanikanti, S.B., Balasubramanian, K., Rajasekar, N. (2020). Optimal Parameter Extraction of PEM Fuel Cell Using an Effective Approach. In: Dawn, S., Balas, V., Esposito, A., Gope, S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42363-6_4
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DOI: https://doi.org/10.1007/978-3-030-42363-6_4
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