Abstract Fuel cell vehicle combines the benefits of fuel cell stack and energy storage system to achieve fuel economy and zero-emission. The energy management system is vital to the hybrid vehicle systems since it regulates power flow from the fuel cell stack and energy storage system. In this paper, we design an energy management scheme in fuel cell vehicle systems. By using optimal control principle, we aim to reduce hydrogen consumption while maintaining battery state of charge under practical operating constraints and uncertain future power demand. The Fuzzy modelling approach is employed to describe the nonlinear power plant and a robust model predictive based control is designed to achieve the desired system performance. Moreover, traffic condition is incorporated into the energy management controller design to further improve the system performance. The effectiveness and advantages of the proposed control scheme are illustrated by a simulator developed based on real-world experimental data.

中文翻译：

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燃料电池汽车能量管理系统的鲁棒模糊模型预测控制

摘要 燃料电池汽车结合了燃料电池堆和储能系统的优点，实现了燃油经济性和零排放。能量管理系统对混合动力汽车系统至关重要，因为它调节来自燃料电池堆和能量存储系统的功率流。在本文中，我们设计了燃料电池汽车系统中的能量管理方案。通过使用最优控制原理，我们旨在减少氢消耗，同时在实际操作限制和不确定的未来电力需求下保持电池充电状态。采用模糊建模方法来描述非线性电厂，并设计了基于鲁棒模型预测的控制来实现所需的系统性能。而且，交通状况被纳入能源管理控制器设计，以进一步提高系统性能。所提出的控制方案的有效性和优势通过基于真实世界实验数据开发的模拟器来说明。