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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

申彩英 夏超英

控制理论与应用2011,Vol.28Issue(3):427-432,6.
控制理论与应用2011,Vol.28Issue(3):427-432,6.

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

申彩英 1夏超英1

作者信息

  • 1. 天津大学,电气与自动化工程学院,天津,300072
  • 折叠

摘要

Abstract

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.

关键词

控制策略/动态规划/串联混合动力汽车

Key words

control strategy/ dynamic programming/ series hybrid electric vehicle

分类

交通工程

引用本文复制引用

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):427-432,6.

控制理论与应用

OA北大核心CSCDCSTPCD

1000-8152

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