基于模型预测控制的模块化燃料电池汽车全分散能量管理策略

A. Soltani, L. Boulon, Xiaosong Hu
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引用次数: 0

摘要

动力分配策略在燃料电池汽车中起着至关重要的作用。目前的研究主要集中在集中式PASs (C-PASs),没有充分提供灵活性(即插即用)和鲁棒性。在这方面,提出了一种基于预测的分散PAS (D-PAS)模块化FCV动力总成。并对该方法在不同驾驶场景下的性能进行了分析。数值结果表明,与集中式系统相比,所提出的D-PAS具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fully Decentralized Energy Management Strategy Based on Model Predictive Control in a Modular Fuel Cell Vehicle
Power allocation strategy (PAS) plays an essential role in fuel cell vehicles (FCVs). Current studies mainly focus on centralized PASs (C-PASs) without adequately providing flexibility (plug & play) and robustness. In this regard, a decentralized PAS (D-PAS) based on prediction is proposed for a modular FCV powertrain. The performance of this suggested approach is analyzed for various driving scenarios. Based on the numerical results, the proposed D-PAS provides superior performance compared to the centralized ones.
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