Abstract
This research work demonstrates a bio-inspired chicken swarm optimization (CSO)-based maximum power point trackers (MPPT) for fuel cell-based electric vehicle applications. The natural clamp zero current switching-based bi-directed converter has been used which eliminates the requirement of passive snubber components which reduces the switching losses. The proposed model works on the hierarchal sequence of swarm chicken and its action which can be utilized for utilization of fuel cell fed electric vehicle. The proposed CSO-based MPPT provides optimal fuel cell power with high accuracy.
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Priyadarshi, N., Azam, F., Solanki, S.S., Sharma, A.K., Bhoi, A.K., Almakhles, D. (2021). A Bio-Inspired Chicken Swarm Optimization-Based Fuel Cell System for Electric Vehicle Applications. In: Bhoi, A., Mallick, P., Liu, CM., Balas, V. (eds) Bio-inspired Neurocomputing. Studies in Computational Intelligence, vol 903. Springer, Singapore. https://doi.org/10.1007/978-981-15-5495-7_16
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DOI: https://doi.org/10.1007/978-981-15-5495-7_16
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