City-Bus-Route Demand-based Efficient Coupling Driving Control for Parallel Plug-in Hybrid Electric Bus

City-Bus-Route Demand-based Efficient Coupling Driving Control for Parallel Plug-in Hybrid Electric Bus
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基于城市公交线路需求的并联插电式混合动力客车高效耦合驱动控制

DOI:
10.1186/s10033-018-0257-y
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发表时间:
2018-07
期刊:
Chinese Journal of Mechanical Engineering (english Edition)
影响因子:
--
通讯作者:
Zhang Yuan Bo
Zhang Yuan Bo
中科院分区:
其他
文献类型:
--
作者:
Wang Qin Pu;Yang Chao;Liu Ya Hui;Zhang Yuan Bo

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近年来,插电式混合动力公交车已成为城市交通的节能解决方案之一。然而,目前的车辆效率远未达到最佳,因为无法预测的外部驾驶条件难以提前获得。如何通过有效的控制策略进一步挖掘其在城市公交车复杂工况下的节油潜力,一直是学术界和工程界研究的热点问题。为实现混合动力系统的高效耦合驱动,提出了一种新型的插电式混合动力客车耦合驱动控制策略。结合城市公交线路的典型特征,采用模糊逻辑推理量化驾驶意图,确定耦合驾驶模式和换挡策略。考虑到执行层响应偏差问题,设计了电机自适应鲁棒控制器,以响应瞬时转矩需求,并对响应延迟和发动机转矩波动进行瞬时补偿。仿真和硬在环试验结果表明,该方法能保证混合动力系统跟踪实际转矩需求,燃油经济性提高10.4%。通过工况的优化组合,可以获得最佳的燃油经济性。该控制方案在不损失驾驶性能的前提下,显著提高了插电式混合动力客车的燃油经济性。
Recently, plug-in hybrid electric bus has been one of the energy-efficient solutions for urban transportation. However, the current vehicle efficiency is far from optimum, because the unpredicted external driving conditions are difficult to be obtained in advance. How to further explore its fuel-saving potential under the complicated city bus driving cycles through an efficient control strategy is still a hot research issue in both academic and engineering area. To realize an efficient coupling driving operation of the hybrid powertrain, a novel coupling driving control strategy for plug-in hybrid electric bus is presented. Combined with the typical feature of a city-bus-route, the fuzzy logic inference is employed to quantify the driving intention, and then to determine the coupling driving mode and the gear-shifting strategy. Considering the response deviation problem in the execution layer, an adaptive robust controller for electric machine is designed to respond to the transient torque demand, and instantaneously compensate the response delay and the engine torque fluctuation. The simulations and hard-in-loop tests with the actual data of two typical driving conditions from the real-world city-bus-route are carried out, and the results demonstrate that the proposed method could guarantee the hybrid powertrain to track the actual torque demand with 10.4% fuel economy improvement. The optimal fuel economy can be obtained through the optimal combination of working modes. The fuel economy of plug-in hybrid electric bus can be significantly improved by the proposed control scheme without loss of drivability.
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