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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Integration of On-Line Control in Optimal Design of Multimode Power-Split Hybrid Electric Vehicle Powertrains
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Integration of On-Line Control in Optimal Design of Multimode Power-Split Hybrid Electric Vehicle Powertrains

机译：在线控制在多模式混合动力混合动力电动汽车动力总成优化设计中的集成

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摘要

The multimode power-split architecture for hybrid electric vehicle (HEV) powertrains is generally known for the complexity of its operation. This paper first addresses the challenge of developing an automated on-line near-optimal control strategy for these systems. Particularly, a machine learning logic based on supervised learning is developed for on-line selection of the HEV operating mode, thus the particular set of clutches to be engaged. An efficiency-based approach is then adopted to determine the optimal power-split between powertrain components. Later, the developed strategy finds integration in an optimal design methodology for multimode power-split HEVs considering the effectiveness and ease of on-line controllability. The obtained results are compared with the ones by the traditional HEV design methodology that only considers off-line energy management. The illustrated design methodology with on-line control reveals efficient at identifying the multimode HEV design that demonstrates optimal predicted fuel economy values and ease of on-line controllability simultaneously. Results suggest that the HEV design optimization procedure may produce different outcomes and demonstrate more effective when the evaluation of the on-line controlled operation is integrated.
机译：混合电动车辆（HEV）动力总成的多模式功率分配架构因其操作复杂性而广为人知。本文首先解决了为这些系统开发自动化的在线近最优控制策略的挑战。特别是，开发了一种基于监督学习的机器学习逻辑，用于在线选择HEV操作模式，从而使要接合的特定离合器组成为可能。然后采用基于效率的方法来确定动力总成组件之间的最佳功率分配。后来，考虑到有效性和在线可控性的简易性，所开发的策略找到了针对多模功率分离式混合动力汽车的最佳设计方法的集成。将获得的结果与仅考虑离线能源管理的传统HEV设计方法进行比较。带有在线控制的图示设计方法揭示了识别多模式混合动力汽车设计的有效方法，该设计同时展示了最佳的预测燃油经济性值和在线可控制性的简易性。结果表明，HEV设计优化程序可能会产生不同的结果，并且在集成了在线控制操作的评估后，证明更有效。

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