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Fuel Efficiency Analysis for Simultaneous Optimization of the Velocity Trajectory and the Energy Management in Hybrid Electric Vehicles

机译:混合动力电动汽车速度轨迹同时优化的燃料效率分析

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Hybrid electric vehicles (HEV) enable higher fuel-efficiency compared to conventional vehicles. The main potential for fuel efficiency lies in the choice of torque split between the internal combustion engine and the electric motor and the gear shifting strategy. In the framework of a predictive control strategy, the vehicle velocity can be considered as another degree of freedom. To achieve minimum fuel consumption, the right choice for these three degrees of freedom over time has to be found. In this paper, a discrete dynamic programming approach is used to find a global optimal solution for fuel efficiency potential analysis, optimizing torque split, gear shifting and velocity trajectory. For illustration, the results for a parallel hybrid electric passenger car are shown.
机译:与传统车辆相比,混合动力电动车(HEV)能够实现更高的燃料效率。燃料效率的主要潜力在于在内燃机和电动机和齿轮移位策略之间的扭矩分开。在预测控制策略的框架中,车辆速度可以被认为是另一种自由度。为了实现最低燃料消耗,必须找到这三个自由度的正确选择。在本文中,采用离散动态编程方法来寻找燃料效率潜在分析的全局最优解决方案,优化扭矩分裂,齿轮换档和速度轨迹。有用,显示了并行混合动力电动乘用车的结果。

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