Power management is a vital technology to increase the economy of fuel cell hybrid vehicles. To overcome the deficiency of most existing optimization approaches, in this article, a modified model predictive control-based optimal strategy of power management is proposed for fuel cell hybrid vehicles. Besides, a partial least squares-based load estimation method is utilized to avoid the assumption of conventional model predictive control. Furthermore, an alternating direction multiplier method-based quadratic programming solver is also designed to avoid the ill-condition of the quadratic programming. Finally, the reliability and effectiveness of the proposed strategy are demonstrated by the simulation and experiments.

中文翻译：

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基于MPC的改进型燃料电池混合动力汽车动力管理优化策略

电源管理是提高燃料电池混合动力汽车经济性的一项至关重要的技术。为了克服大多数现有优化方法的不足，本文提出了一种基于模型预测控制的改进模型，用于燃料电池混合动力汽车的动力管理。此外，基于偏最小二乘的负荷估计方法被用来避免常规模型预测控制的假设。此外，还设计了一种基于交替方向乘子法的二次规划求解器，以避免二次规划的不良情况。最后，通过仿真和实验证明了所提策略的可靠性和有效性。