| 引用本文: | 申彩英,夏超英.基于改进型动态规划算法的串联混合动力汽车控制策略[J].控制理论与应用,2011,28(3):427~432.[点击复制] |
| SHEN Cai-ying,XIA Chao-ying.Control strategy of series hybrid electric vehicle based on improved dynamic programming[J].Control Theory and Technology,2011,28(3):427~432.[点击复制] |
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| 基于改进型动态规划算法的串联混合动力汽车控制策略 |
| Control strategy of series hybrid electric vehicle based on improved dynamic programming |
| 摘要点击 2196 全文点击 2460 投稿时间：2010-03-09 修订日期：2010-07-06 |
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| DOI编号 10.7641/j.issn.1000-8152.2011.3.CCTA100223 |
| 2011,28(3):427-432 |
| 中文关键词 控制策略 动态规划 串联混合动力汽车 |
| 英文关键词 control strategy dynamic programming series hybrid electric vehicle |
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| 中文摘要 |
| 混合动力汽车通常由内燃机和电池两种不同的动力源驱动, 对于给定的功率需求, 如何分配两种动力源的输出功率, 使得整个循环的耗油量达到最小是混合动力系统控制表示法需要解决的问题. 本文采用改进动态规划方法来优化两种动力源的输出功率, 并用PSATv6.1进行了系统仿真. 仿真结果表明, 与开关式相比, 该方法能有效的降低串联混合动力汽车的耗油量; 在算法上, 改进的动态规划算法减少了存储量和运算时间, 运算时间仅为改进前的28.47% . |
| 英文摘要 |
| Hybrid electric vehicles(HEV) are usually powered by two different energy sources. Typically, those are equipped with an internal combustion engine and a bank of batteries. In a given driving cycle, it is important to minimize the total fuel consumption by properly sharing the instantaneous power between the two energy sources. This problem is solved by using the improved dynamic programming(IDP) algorithm. Simulation results from PSATv6.1 indicate that this algorithm helps saving fuel consumption more than the Thermostat approach. In the operation, this algorithm requires smaller memory capacity and reduces the operation time to 28.47% of the unimproved dynamic programming algorithm. |
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