Hybrid Electric Vehicle Model Predictive Control Torque-Split Strategy Incorporating Engine Transient Characteristics
Hybrid Electric Vehicle Model Predictive Control Torque-Split Strategy Incorporating Engine Transient Characteristics
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DOI：
10.1109/tvt.2012.2197767
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发表时间：
2012-05
影响因子：
6.8
通讯作者：
Fengjun Yan;Junmin Wang;Kaisheng Huang
中科院分区：
文献类型：
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作者：
Fengjun Yan;Junmin Wang;Kaisheng Huang
提出了一种结合柴油机瞬态特性的并联混合动力汽车（HEV）动力系统模型预测控制（MPC）转矩分配策略。为了提高混合动力汽车的燃油效率，柴油发动机和电动机之间的扭矩分配以及发动机是否应该打开或关闭的决定很重要。对于发动机经历频繁瞬态操作（包括起动-停止）的HEV应用，发动机瞬态特性对整个HEV动力系燃料经济性的影响变得更加显著。在本文中，通过将一个实验验证的实时瞬态柴油发动机模型的MPC转矩分配方法，发动机的瞬态特性可以很好地反映在混合动力汽车动力系统的监督控制决策。基于实际系统参数的混合动力汽车模型和经过实验验证的柴油机模型的仿真研究表明，所提出的考虑柴油机瞬态特性的MPC监控策略在保持混合动力汽车行驶性能的同时具有优越的上级等效燃油效率。
This paper presents a model predictive control (MPC) torque-split strategy that incorporates diesel engine transient characteristics for parallel hybrid electric vehicle (HEV) powertrains. To improve HEV fuel efficiency, torque split between the diesel engine and the electric motor and the decision as to whether the engine should be on or off are important. For HEV applications where the engines experience frequent transient operations, including start-stop, the effect of the engine transient characteristics on the overall HEV powertrain fuel economy becomes more pronounced. In this paper, by incorporating an experimentally validated real-time-capable transient diesel-engine model into the MPC torque-split method, the engine transient characteristics can be well reflected on the HEV powertrain supervisory control decisions. Simulation studies based on an HEV model with actual system parameters and an experimentally validated diesel-engine model indicate that the proposed MPC supervisory strategy considering diesel engine transient characteristics possesses superior equivalent fuel efficiency while maintaining HEV driving performance.