| 基于组合优化算法的混合动力客车控制策略优化 |
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| 引用本文： | 高建平,刘振楠,郭志军,位跃辉,邢义胜. 基于组合优化算法的混合动力客车控制策略优化[J]. 客车技术与研究, 2013, 0(6): 1-4 |
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| 作者姓名： | 高建平 刘振楠 郭志军 位跃辉 邢义胜 |
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| 作者单位： | 河南科技大学车辆与动力工程学院,河南洛阳471003 |
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| 基金项目： | 国家“十二五”863计划主题项目（项目编号：2012AA111603）; 河南科技大学研究生创新基金资助项目（项目编号CXJJ-YJS-Z004） |
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| 摘 要： | 结合模拟退火算法全局优化能力强和非线性二次规划算法能够快速寻优的特点,使用Isight优化软件将二者建立组合优化算法对建立的功率解析控制策略进行全局优化。优化结果表明,所提出的组合优化算法避免了模拟退火算法局部优化不强的缺点,提高了优化质量和计算效率;在保证整车动力性的前提下,使整车综合油耗下降了12%。
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| 关 键 词： | 混合动力客车 控制策略 模拟退火算法 组合优化算法 |
Optimization of Hybrid Electric Bus Control Strategy with Combined Optimization Algorithm |
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| Gao Jianping,Liu Zhennan,Guo Zhijun,Wei Yuehui,XingYisheng. Optimization of Hybrid Electric Bus Control Strategy with Combined Optimization Algorithm[J]. Bus Technology and Research, 2013, 0(6): 1-4 |
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| Authors: | Gao Jianping Liu Zhennan Guo Zhijun Wei Yuehui XingYisheng |
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| Affiliation: | (Vehicle ＆ Motive Power Engineering College, Henan University of Science ＆ Technology, Luoyang 471003, China) |
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| Abstract: | Combining the features fast local optimization of NLPQL, a of the powerful ability of global searching of simulated annealing algorithm and combined optimization algonithm with the above two annealing is built by Isight software. Power analytic control strategy is built to be optimized by combined optimization globally. The optimization result shows that the combined optimization proposed avoids weakness in local search in simulated annealing algo- rithm, the efficiency and capability of optimization are enhanced and the fuel economy has been improved by 12%. |
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| Keywords: | hybrid electric bus control strategy simulated annealing algorithm combined optimization algorithm |
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