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首页> 外文期刊>Energies >Development of Near Optimal Rule-Based Control for Plug-In Hybrid Electric Vehicles Taking into Account Drivetrain Component Losses
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Development of Near Optimal Rule-Based Control for Plug-In Hybrid Electric Vehicles Taking into Account Drivetrain Component Losses

机译：考虑到动力传动系统部件损失的插电式混合动力汽车基于近似最优规则控制的开发

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A near-optimal rule-based mode control (RBC) strategy was proposed for a target plug-in hybrid electric vehicle (PHEV) taking into account the drivetrain losses. Individual loss models were developed for drivetrain components including the gears, planetary gear (PG), bearings, and oil pump, based on experimental data and mathematical governing equations. Also, a loss model for the power electronic system was constructed, including loss from the motor-generator while rotating in the unloaded state. To evaluate the effect of the drivetrain losses on the operating mode control strategy, backward simulations were performed using dynamic programming (DP). DP selects the operating mode, which provides the highest efficiency for given driving conditions. It was found that the operating mode selection changes when drivetrain losses are included, depending on driving conditions. An operating mode schedule was developed with respect to the wheel power and vehicle speed, and based on the operating mode schedule, a RBC was obtained, which can be implemented in an on-line application. To evaluate the performance of the RBC, a forward simulator was constructed for the target PHEV. The simulation results show near-optimal performance of the RBC compared with dynamic-programming-based mode control in terms of the mode operation time and fuel economy. The RBC developed with drivetrain losses taken into account showed a 4%–5% improvement of the fuel economy over a similar RBC, which neglected the drivetrain losses.
机译：针对目标插电式混合动力电动汽车（PHEV），考虑了动力传动系统的损失，提出了一种基于最佳规则的模式控制（RBC）策略。基于实验数据和数学控制方程，为齿轮，行星齿轮（PG），轴承和机油泵等传动系统组件开发了单独的损失模型。此外，构建了电力电子系统的损耗模型，包括在空载状态下旋转时电动发电机的损耗。为了评估动力传动系统损耗对操作模式控制策略的影响，使用动态编程（DP）进行了向后仿真。 DP选择运行模式，该模式在给定的驾驶条件下提供最高的效率。已经发现，当包括动力传动系统损失时，取决于行驶条件，操作模式选择会改变。针对车轮功率和车速制定了工作模式时间表，并基于该工作模式时间表获得了RBC，可以在在线应用程序中实现该功能。为了评估RBC的性能，针对目标PHEV构建了前向模拟器。仿真结果表明，与基于动态编程的模式控制相比，RBC在模式运行时间和燃油经济性方面具有近乎最佳的性能。考虑到动力传动系统损失而开发的RBC显示出燃油经济性比类似的RBC（忽略了动力传动系统损失）提高了4％–5％。

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