A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
A-ECMS: An Adaptive Algorithm for Hybrid Electric Vehicle Energy Management
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DOI：
10.3166/ejc.11.509-524
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发表时间：
2005-12
期刊：
影响因子：
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通讯作者：
C. Musardo;G. Rizzoni;Y. Guezennec;B. Staccia
中科院分区：
文献类型：
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作者：
C. Musardo;G. Rizzoni;Y. Guezennec;B. Staccia
混合动力汽车（HEV）的燃油经济性和排放的改善强烈依赖于能源管理策略。本文提出了一种新的控制策略-自适应等效消耗最小化策略（A-ECMS）。这种实时的能量管理的混合动力汽车获得添加到ECMS框架的一个在飞行中的算法，根据驾驶条件的等效因子的估计。其主要思想是根据当前的道路负荷定期刷新控制参数，使电池的荷电状态（SOC）保持在边界内，并最大限度地减少燃料消耗。用A-ECMS获得的结果表明，可以实现的燃料经济性只是稍微次优，并且操作是电荷维持的。
Hybrid Electric Vehicles (HEV) improvements in fuel economy and emissions strongly depend on the energy management strategy. In this paper a new control strategy called Adaptive Equivalent Consumption Minimization Strategy (A-ECMS) is presented. This real-time energy management for HEV is obtained adding to the ECMS framework an on-the-fly algorithm for the estimation of the equivalence factor according to the driving conditions. The main idea is to periodically refresh the control parameter according to the current road load, so that the battery State of Charge (SOC) is maintained within the boundaries and the fuel consumption is minimized. The results obtained with A-ECMS show that the fuel economy that can be achieved is only slightly sub-optimal and the operations are charge-sustaining.