作者: Junfeng Zhao , Junmin Wang
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摘要: For hybrid electric vehicles (HEVs), the well-studied fuel economy optimization approaches will usually implement frequent engine starts/stops, which can significantly impact catalyst temperatures and performances of aftertreatment systems. This paper aims to simultaneously optimize reduce tailpipe emissions for HEVs coupled with First, a control-oriented model is developed by systematically incorporating HEV models thermal dynamic models, both have been experimentally validated. The integrated capable predicting engine-out gas temperature NOx simulating dynamics Additionally, post injections' characteristics are investigated modeled. An warm-up approach strategically enabling double injections. Eventually, supervisory controller designed post-injection ratio torque split powertrains. rooted in predictive control (MPC) scheme, it has an intuitive interpretation terms operating costs. validation results show that time successfully regulate desired range reasonable sacrifice HEVs.