| 基于遗传蚁群算法的履带式混合动力车辆控制策略参数优化 |
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| 引用本文： | 吴静波,张承宁,邹渊,李军求.基于遗传蚁群算法的履带式混合动力车辆控制策略参数优化[J].车用发动机,2009(3). |
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| 作者姓名： | 吴静波 张承宁 邹渊 李军求 |
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| 作者单位： | 北京理工大学机械与车辆工程学院,北京,100081 |
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| 摘 要： | 针对控制策略参数优化中存在的问题,提出一种基于遗传蚁群算法的履带式混合动力车辆整车控制策略参数优化的新方法。基于优化设计的思想,以最小燃油消耗量为目标函数,建立控制参数优化问题的数学模型,然后结合遗传算法和蚁群算法各自的优点提出一种遗传蚁群优化算法,并对控制策略参数优化问题进行数值求解。结果表明,优化后车辆燃油消耗减少14.9%,说明该方法可以找到一组全局最优的参数,大大缩短控制参数的实车标定时间。
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| 关 键 词： | 控制策略 参数优化 混合动力 履带式车辆 遗传算法 蚁群算法 |
The Optimization of Hybrid Tracked Vehicle Control Strategy Parameters Based on Genetic-ant Colony Algorithm |
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| WU Jing-bo,ZHANG Cheng-ning,ZOU Yuan,LI Jun-qiu.The Optimization of Hybrid Tracked Vehicle Control Strategy Parameters Based on Genetic-ant Colony Algorithm[J].Vehicle Engine,2009(3). |
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| Authors: | WU Jing-bo ZHANG Cheng-ning ZOU Yuan LI Jun-qiu |
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| Institution: | WU Jing-bo,ZHANG Cheng-ning,ZOU Yuan,LI Jun-qiu(School of Mechanical , Vehicular Engineering,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | For the existed problems of control strategy parameters optimization for hybrid tracked vehicle,a new method based on genetic-ant colony algorithm was put forward.Based on the optimization design,the mathematical model that took the minimum fuel consumption as objective function was established.Considering the characteristics of genetic algorithm and ant colony algorithm,the genetic-ant colony optimization algorithm was introduced.The results show that the fuel consumption decreases by 14.9%.It is proved th... |
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| Keywords: | control strategy parameter optimization hybrid tracked vehicle genetic algorithm ant colony algorithm |
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