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    • 16. 发明授权
    • Model based purge system
    • 基于模型的吹扫系统
    • US06253750B1
    • 2001-07-03
    • US09232419
    • 1999-01-15
    • Mark J. DutyTimothy A. Coatesworth
    • Mark J. DutyTimothy A. Coatesworth
    • F02M2508
    • F02D41/0045F02D41/0042F02D41/1456F02D41/2445F02D41/2451F02D41/248F02D2041/1433F02D2200/0402F02D2200/0411F02M25/08
    • A method is provided for accommodating the purge vapors from an evaporative emission control system of an automotive vehicle. The method includes a purge compensation model to identify the concentration of purge vapor entering the intake manifold of the engine of the automotive vehicle, identifying the source of the vapor as from the vapor collection canister or the fuel tank using a characteristic mapping of maximum concentration as a function of instantaneous flow and accumulated flow through a canister and uses this information to predict variations in vapor concentrations as a function of purge flow. The method also includes a purge control model which uses mode logic to identify an appropriate time to initiate a purge cycle, provides the flow conditions necessary for a learning portion of the purge compensation model and increases purge flow rates after the learning is complete to deplete the contents of the canister. The purge control model also manages the time spent with purge active (learning purge) and purge inactive (learning volumetric efficiency or EGR).
    • 提供了一种用于从汽车的蒸发排放控制系统容纳吹扫蒸汽的方法。 该方法包括净化补偿模型,以识别进入机动车辆的发动机的进气歧管的吹扫蒸汽的浓度,使用最大浓度的特征映射来确定来自蒸气收集罐或燃料箱的蒸汽源 通过罐的瞬时流量和累积流量的功能,并使用该信息来预测作为吹扫流量的函数的蒸气浓度的变化。 该方法还包括清洗控制模型,其使用模式逻辑来识别启动净化循环的适当时间,提供净化补偿模型的学习部分所需的流动条件,并且在学习完成以后消除所述吹扫流量 罐的内容物。 吹扫控制模型还管理清洗活动(学习吹扫)和清洗无效(学习容积效率或EGR)所花费的时间。