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Dynamic Programming-Based Energy Management System for Range-Extended Electric Bus

机译:基于动态编程的增程电动客车能源管理系统

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摘要

The heavy computational burden associated with the application of the traditional DP strategy to the energy management of range extended electric buses poses a serious problem. On the basis of one Chinese typical urban bus driving cycle, an optimal control strategy is designed according to the SOC consumption trend, which is optimized by the DP algorithm. The dissipative energy and the energy-traction efficiency are our evaluation indices. The energy efficiencies of the powertrain system and components are analyzed by the energy flow diagram method. The results show that when the range-extended electric bus runs 35 Chinese typical urban bus driving cycles, the energy consumption and the energy efficiency of the powertrain system, which are optimized by the traditional DP strategy, can reach 2844.28 MJ and 31.29%, respectively. Compared with the traditional bus, the energy consumption can be reduced by 31.08%. The energy consumption and the energy efficiency of the powertrain system, which are based on one driving cycle optimal strategy, can reach 2857.69 MJ and 31.14%, respectively. The energy consumption is 0.47% higher than that with the traditional DP strategy, but the computation time is reduced by 96.85%.
机译:与传统的DP策略在增程电动公交车的能量管理中的应用相关的沉重的计算负担带来了严重的问题。在一个典型的中国城市公交车行驶周期的基础上,根据SOC消耗趋势设计了一种最优控制策略,并通过DP算法对其进行了优化。耗散能量和能量牵引效率是我们的评估指标。通过能量流图方法分析了动力总成系统和组件的能量效率。结果表明,增程型电动客车在中国典型的35个城市公交车行驶周期中,通过传统的DP策略优化的动力总成系统的能耗和能效分别达到2844.28 MJ和31.29%。 。与传统公交车相比,能耗降低了31.08%。动力总成系统的能量消耗和能量效率基于一种驾驶循环最佳策略,分别可以达到2857.69 MJ和31.14%。与传统的DP策略相比,能耗高0.47%,但计算时间却减少了96.85%。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第2期|624649.1-624649.11|共11页
  • 作者单位

    Harbin Univ Sci & Technol, Coll Elect & Elect Engn, Harbin, Peoples R China.;

    Harbin Univ Sci & Technol, Coll Elect & Elect Engn, Harbin, Peoples R China.;

    Harbin Univ Sci & Technol, Coll Elect & Elect Engn, Harbin, Peoples R China.;

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