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Real-Time Powertrain Control Strategy for Series-Parallel Hybrid Electric Vehicles

机译:系列平行混合动力电动汽车的实时动力总成控制策略

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The series-parallel hybrid electric vehicle (HEV), which employs a planetary gear set to combine one internal combustion engine(ICE) and two electric motors (EMs), can take advantages of both series and parallel hybrid system. The efficient powertrain operating point of the system can be obtained by the instantaneous optimization of equivalent fuel consumption. However, heavy computational requirements and variable constraints of the optimization process make it difficult to build real-time control strategy. To overcome the difficulty, this study suggests the control strategy which divides the optimization process into 2 stages. In the first stage, a target of charge/discharge power is determined based on equivalent fuel consumption, then in the second stage, an engine operating point is determined taking power transfer efficiency into account. Since all variable constraints are related to battery power limit, the variable constraints can be applied effectively in the determination process of charge/discharge power. In the engine operating point determination process, the calculation load can be reduced by employing the control map which offers the optimal engine operating point for given driving conditions and battery power. The developed control strategy has been implemented in a vehicle simulation to verify its effectiveness.
机译:的串并联混合动力电动车辆(HEV),其使用行星齿轮组的一个内燃发动机(ICE)和两个电动马达(EMS)结合,可以采取串联和并联混合动力系统的优点。该系统的高效的动力系操作点可以通过等效的燃料消耗的瞬时优化来获得。然而,大量的计算需求和优化过程的变量约束,难以构建实时控制策略。为了克服困难,这项研究表明,其将优化过程分为2个阶段的控制策略。在第一阶段中,充电/放电电力的目标是基于等价的燃料消耗来确定,则在第二阶段中,发动机工作点被确定了结电力传输效率考虑在内。由于所有的可变约束都与电池功率限制时,可变约束可以有效地充电/放电电力确定处理施加。在发动机工作点判定处理中,可以通过使用控制图,其提供最佳发动机操作点对于给定的行驶条件和电池功率被降低的计算负荷。在发达的控制策略已在车辆仿真,验证其有效性得到落实。

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