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Optimizing fuel consumption and pollutant emissions of gasoIine-HEV with catalytic converter

机译:用催化转化器优化汽油-HEV的燃油消耗和污染物排放

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Because of more and more stringent vehicle emission standards, Hybrid Electric Vehicles (HEV) are developed. Gasoline-HEV are equipped with 3-Way Catalytic Converter (3WCC). So the energy management systems of such vehicles, which must reduce not only fuel consumption, but also vehicle pollutant emissions, have to consider the 3WCC heating. A pollutant constrained energy management strategy is presented. A 3WCC multi-0D model is built from physical equations, with a good complexity-performances compromise. An off-line optimal strategy allows the joint minimization of pollution and fuel consumption with only one parameter to tune, while considering all the standardized pollutant emissions. This strategy reduces significantly the vehicle emissions for a minor fuel consumption increase and leads to define 3WCC smart heating. Thus an on-line smart heating strategy is implemented in a HyHIL (Hybrid Hardware In the Loop) test bench, reducing the pollutant emissions of the classical charge sustaining strategy by 30% for CO and 10% for NO_x.
机译:由于越来越严格的车辆排放标准,混合动力汽车(HEV)得以开发。汽油-HEV配备有3-Way催化转化器(3WCC)。因此,此类车辆的能源管理系统不仅必须减少燃料消耗,还必须减少车辆污染物排放,因此必须考虑3WCC加热。提出了一种污染物约束的能源管理策略。 3WCC multi-0D模型是根据物理方程构建的,具有很好的复杂性-性能折衷。离线优化策略允许在仅考虑一个标准污染物的情况下,仅需调整一个参数,即可将污染和燃料消耗降至最低。该策略显着减少了车辆排放,同时油耗略有增加,并导致定义了3WCC智能加热。因此,在HyHIL(循环中的混合硬件)测试台中实施了在线智能加热策略,从而将经典电荷维持策略的污染物排放量(对于CO)减少了30%,将NO_x减少了10%。

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