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Real-time control for a parallel hybrid electric vehicle based on Pontryagin's Minimum Principle

机译:基于庞特里亚金最小原理的并联混合动力电动汽车实时控制

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A heavy-duty parallel hybrid electric vehicle (HEV) is modeled first, together with dynamic equations of subsystem components. The HEV energy management problem was cast into an optimal control problem since its objective is to minimize fuel consumption while maintaining the state-of-charge of the battery within reasonable bouds. The Pontryagin's Minimum Principle (PMP)-based optimal algorithm is applied to solve the optimal control problem. A causal optimal strategy with a simple proportional-integral (PI)-control based on PMP is put forward, which can realize real-time control for HEV. The solutions of the causal optimal strategy are found to be very close to the global optimal solutions when tuning with the appropriate co-states.
机译:首先对重型并联混合动力电动汽车(HEV)以及子系统组件的动力学方程建模。混合动力汽车的能源管理问题被归结为最佳控制问题,因为其目的是在保持合理电量的前提下最大限度地减少燃料消耗,同时保持电池的荷电状态。基于庞特里亚金最小原理(PMP)的最优算法被应用于解决最优控制问题。提出了一种基于PMP的简单比例积分(PI)控制的因果最优策略,可以实现混合动力汽车的实时控制。发现因果最优策略的解在与适当的共态进行调整时非常接近全局最优解。

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