A comprehensive design pipeline for FCEV powertrain configuration considering the evolutionary development process and extreme economic performance

Di Zhao, Liang Chu, Zhuoran Hou, Quan Zhou, Yonggang Liu, Yanjun Huang, Zheng Chen, Dezong Zhao and Yuanjian Zhang

Energy, 2024, vol. 310, issue C

Abstract: Due to stringent emission regulations, the zero-emission hydrogen fuel cell electric vehicles (FCEVs) are gaining significant attention, but their slow power response requires careful selection of auxiliary energy sources and power systems to optimize energy efficiency. This paper presents a comprehensive design pipeline for the FCEV powertrain, encompassing methods for powertrain configuration design, feasible domain design for component parameters, and parameter matching. Initially, a powertrain configuration design method based on evolutionary game theory is introduced, forecasting trends in energy-efficient powertrain configurations using a dynamic cost function that adjusts based on the proportions of different configurations. Next, a feasible domain design method is developed to establish fixed constraints on component parameters, ensuring a fair balance between performance needs and overall costs, including development and lifecycle expenses associated with the powertrain configuration. Subsequently, dynamic programming (DP) is used for parameter matching, assessing the utmost energy-saving potential. The cost function in this method incorporates the degradation cost of powertrain components, underscoring the economic performance of the target FCEV over its lifespan. Finally, simulation assessments indicate that the proposed design pipeline effectively identifies the optimal powertrain configuration for FCEVs, endowing each possible configuration with exceptional economic efficiency across different component parameters.

Keywords: Design pipeline; Fuel cell electric vehicle (FCEV); evolutionary game theory; Component degradation; Usage cost over the entire lifespan (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:310:y:2024:i:c:s0360544224028056

DOI: 10.1016/j.energy.2024.133031

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