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Correctional DP-Based Energy Management Strategy of Plug-In Hybrid Electric Bus for City-Bus Route

机译:基于修正DP的插电式混合动力客车城市公交路线能量管理策略

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Typical plug-in hybrid electric buses (PHEBs) with a fast-charged lithium titanate battery, which might fulfill about 70% of the distance of a representative city-bus route, have been adopted in many Chinese cities. Considering that the detailed information of the driving cycle could be deduced with the historical driving data and online estimation methods, there might be an opportunity for applying the dynamic programming (DP)-based global optimal energy management strategy for these PHEBs. However, road slopes or variable loads might induce transient fluctuations of the driving resistance in a given driving cycle. Meanwhile, the single-shaft parallel configuration, with automatic mechanical transmission (AMT), might constrain the implementability of the optimal energy distribution from a DP-based strategy. Therefore, in this paper, a novel correctional DP algorithm is brought forward to balance the optimization of fuel economy and drivability. Simulation results demonstrate that, integrated with the correctional logic of AMT gear shifting, the proposed energy management strategy can guarantee that the engine and the electric machine work in the high-efficiency area with optimal energy distribution, while keeping drivability in the variation of road slope and loads. The proposed method might give a technical solution to these typical PHEBs with a lower cost system configuration of the powertrain in China.
机译:中国许多城市已采用具有快速充电的钛酸锂电池的典型插电式混合动力电动巴士(PHEB),它可以满足典型城市公交路线的大约70%的距离。考虑到可以使用历史驾驶数据和在线估算方法推导出驾驶循环的详细信息,因此可能有机会将基于动态规划(DP)的全球最佳能源管理策略应用于这些PHEB。但是,在给定的行驶周期中,道路坡度或可变负载可能会引起行驶阻力的瞬时波动。同时,具有自动机械变速器(AMT)的单轴并联配置可能会限制基于DP的策略的最佳能量分配的可实施性。因此,本文提出了一种新的修正DP算法,以平衡燃油经济性和驾驶性能。仿真结果表明,与AMT换档校正逻辑相结合,所提出的能量管理策略可以确保发动机和电机在高效区域内以最佳的能量分配工作,同时在坡度变化中保持可驾驶性。和负载。所提出的方法可以为这些典型的PHEB提供技术解决方案,并在中国降低动力总成的系统配置。

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