Frontier Optimization Strategies for Efficient Fuel Cell Vehicles

Abstract

Fuel cell vehicles (FCVs) represent a pivotal advancement in the evolution of future automobile technologies. This paper introduces a comprehensive approach to enhancing the performance of automotive fuel cells, employing the Predictive Trip Distance Adaptive Equivalent Consumption Minimum Strategy (PTDA-ECMS) objective function for predictive analysis. By developing innovative alkaline electrolyte membranes, catalysts, and electrode materials, and implementing hybrid power system management strategies for fuel cell and battery integration, this study aims to extend fuel cell longevity, improve system efficiency, and reduce operational costs. Additionally, the use of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for electric catalyst evaluation signifies a methodical exploration into fuel cells with enhanced service life, reduced production expenses, and superior overall performance. Such advancements are anticipated to decrease the operational costs of electric vehicles, thereby increasing marketability and facilitating more sustainable human transportation solutions. This paper provides a detailed overview of effective system optimization methods, including strategies to prolong battery life, alongside a summary of findings and prospects. Through these endeavors, the research underscores the significant potential of FCVs in contributing to the sustainable evolution of the automotive industry.