Methodology to apply dynamic programming to the energy-efficient driving technique of lithium-ion battery trains
Methodology to apply dynamic programming to the energy-efficient driving technique of lithium-ion battery trains
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DOI：
10.1109/esars-itec.2016.7841337
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发表时间：
2016-11
期刊：
影响因子：
--
通讯作者：
Y. Noda;M. Miyatake
中科院分区：
文献类型：
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作者：
Y. Noda;M. Miyatake
本文重点研究了动态规划（DP）方法在锂离子电池列车优化运行控制中的应用，以期为节能驾驶技术积累知识。在这种方法中，能源效率的驾驶控制制定为两点边界条件的最优控制问题。我们提出的模型，考虑的影响，取决于他们的荷电状态（SOC）的电池的电压变化的列车的牵引力。仿真结果表明，该方法能够在考虑速度限制等轨道条件以及电池SOC影响的情况下，以最小化能耗为目标，得到最优列车速度曲线，并能针对SOC误差进行搜索。
This paper focuses on the methodology to apply the Dynamic Programming (DP) to the optimal operation control of trains with onboard Lithium-ion batteries in order to accumulate knowledge of energy-efficient driving technique. In this methodology, the energy-efficient driving control is formulated as an optimal control problem with two-point boundary conditions. We propose the model to consider the influence of the voltage variation of the batteries which depends on their State Of Charge (SOC) on the tractive effort of the train. The simulation results show that this methodology can minimize the energy consumption by deriving the optimal train speed profile taking the track condition such as speed limitations as well as the influence of the battery SOC. It is also found that the DP-based optimization could search against the error of the SOC.