基于鲁棒输出预测控制的串联式混合动力汽车能量管理效率与性能改进

Q3 Engineering

IFAC-PapersOnLine Pub Date : 2025-01-01 DOI:10.1016/j.ifacol.2025.07.082

K. Sakamoto , I. Mizumoto

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引用次数: 0

摘要

近年来，随着碳中和努力的加快，混合动力汽车作为一种临时解决方案引起了人们的关注。混合动力汽车可以通过能源管理策略（EMS）将发动机和电机的功率优化分配，从而提高燃油经济性。提出了一种对不确定性具有鲁棒性、计算量小的EMS预测控制方法，并在HEV分体式模型中验证了鲁棒预测控制的有效性。然而，该模型没有考虑到发动机启动时的额外燃料消耗，因此无法准确评估燃料消耗。在本报告中，为了提供更准确的油耗评估，并验证所提出的方法对串联型混合动力汽车也是有效的，采用了GT-Power的串联型混合动力汽车的详细模型进行了数值模拟。此外，提出了一种以SOC为核心的新方法，减少了发动机的on /OFF开关，旨在进一步提高效率和实用性。

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Efficiency and Performance Improvement of Energy Management for Series-type HEVs by Robust Output Predictive Control⁎

In recent years, as efforts towards carbon neutrality have accelerated, HEVs have attracted attention as an interim solution. HEVs can improve fuel economy by optimally splitting the power of the engine and motor through an energy management strategy (EMS). Robust predictive control, a predictive control method that is robust to uncertainty and small computational load, was proposed for EMS and its effectiveness was verified in a split HEV model. However, the model did not take into account the extra fuel consumption at engine start-up, thus not allowing an accurate evaluation of fuel consumption. In this report, a detailed model of a series-type HEV with GT-Power is used for numerical simulation to provide a more accurate fuel consumption evaluation and to verify that the proposed method is also effective for series-type HEVs. Furthermore, a new method focusing on SOC is proposed, which reduces engine ON/OFF switching and aims to further improve efficiency and practicality.

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来源期刊

IFAC-PapersOnLine Engineering-Control and Systems Engineering

CiteScore

1.70

自引率

0.00%

发文量

1122

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