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    • 3. 发明授权
    • Engine control using torque estimation
    • 使用扭矩估算的发动机控制
    • US06866024B2
    • 2005-03-15
    • US10092031
    • 2002-03-05
    • Giorgio RizzoniYann GuezennecAhmed SolimanByungho Lee
    • Giorgio RizzoniYann GuezennecAhmed SolimanByungho Lee
    • F02B17/00G01M15/00G06G7/48G06G7/50
    • F02D35/024F02D2041/1432F02D2041/288F02D2200/1004F02D2200/1012
    • Torque estimation techniques in the real-time basis for engine control and diagnostics applications using the measurement of crankshaft speed variation are disclosed. Two different torque estimation approaches are disclosed—“Stochastic Analysis” and “Frequency Analysis.” An estimation model function consisting of three primary variables representing crankshaft dynamics such as crankshaft position, speed, and acceleration is used for each estimation approach. The torque estimation method are independent of the engine inputs (air, fuel, and spark). Both approaches have been analyzed and compared with respect to estimation accuracy and computational requirements, and feasibility for the real-time engine diagnostics and control applications. Results show that both methods permits estimations of the indicated torque based on the crankshaft speed measurement while providing not only accurate but also relatively fast estimations during the computation processes.
    • 公开了使用曲轴速度变化测量的发动机控制和诊断应用的实时基准中的扭矩估计技术。 公开了两种不同的扭矩估计方法 - “随机分析”和“频率分析”。 对于每个估计方法,使用由曲轴动力学(如曲轴位置,速度和加速度)三个主要变量组成的估计模型函数。 扭矩估计方法独立于发动机输入(空气,燃料和火花)。 已经对两种方法进行了分析并比较了估计精度和计算要求,以及实时发动机诊断和控制应用的可行性。 结果表明,这两种方法允许基于曲轴速度测量来估计所指示的扭矩,同时在计算过程中不仅准确而且相对较快的估计。
    • 5. 发明授权
    • Method and system for detecting the misfire of an internal combustion
engine utilizing angular velocity fluctuations
    • 利用角速度波动来检测内燃机失火的方法和系统
    • US5239473A
    • 1993-08-24
    • US741338
    • 1991-08-21
    • William B. RibbensGiorgio Rizzoni
    • William B. RibbensGiorgio Rizzoni
    • F02B75/02G01M15/11
    • G01M15/11F02B2075/025F02D2041/288F02D2200/1004
    • A hybrid method and system are disclosed for the detection of internal combustion engine misfires. The method and system are capable of detecting misfires even at very low occurrence rates in real time with inexpensive analog and digital (i.e. hybrid) electronics suitable for use on-board a vehicle, thus satisfying current and proposed exhaust emission control regulations. The method and system exploit a measurement of engine crankshaft angular velocity in conjunction with hybrid electronic signal processing. Once the angular velocity signal is conditioned to minimize the effects of random error and external disturbances, four alternate computationally efficient methods may be used to extract information pertaining to individual cylinder torque productions. Two of the methods employ extremal samples of the estimated torque or velocity waveform to obtain a random torque nonuniformity index or metric. The other two methods utilize a transformation into the frequency domain after the input data is first sampled and windowed to substantially lower probability of error. All of the methods provide an M-dimensional torque non-uniformity vector of individual cylinder performance for each individual engine cycle. The non-uniformity vector represents a compact and efficient measurement to which statistical decision theory is applied.
    • 公开了用于检测内燃机失火的混合方法和系统。 该方法和系统即使以非常低的发生率实时检测,也可以利用适合车载车辆的便宜的模拟和数字(即混合)电子设备来检测失火,从而满足当前和提出的废气排放控制规定。 该方法和系统结合混合电子信号处理开发了发动机曲轴角速度的测量。 一旦角速度信号被调节以最小化随机误差和外部干扰的影响,则可以使用四种备选的计算有效的方法来提取关于单个气缸扭矩产生的信息。 两种方法采用估计扭矩或速度波形的极值样本,以获得随机转矩不均匀性指标或度量。 另外两种方法在输入数据首次采样和窗口化以显着降低误差概率之后利用到频域的变换。 所有这些方法为每个单独的发动机循环提供了各个气缸性能的M维转矩非均匀性矢量。 不均匀矢量代表应用统计决策理论的紧凑有效的测量。
    • 7. 发明授权
    • Method and system for detecting a misfire of a reciprocating internal
combustion engine
    • 用于检测往复式内燃机失火的方法和系统
    • US5495415A
    • 1996-02-27
    • US154271
    • 1993-11-18
    • William B. RibbensJaehong ParkGiorgio Rizzoni
    • William B. RibbensJaehong ParkGiorgio Rizzoni
    • G01M15/11G06F19/00F02P5/14G01L3/26
    • G01M15/11F02D2200/1015F02D41/1405
    • A trainable, pattern recognition-based method and system for detecting misfire in a reciprocating internal combustion engine having an engine cycle frequency in the frequency domain from crankshaft angular velocity. Preferably, a pattern recognition system including a neural network is utilized. Crankshaft angular position is sensed to develop an electrical signal which is a function of the crankshaft angular velocity. The electrical signal contains data which is sampled. The sampled data is transformed to an equivalent frequency domain spectrum including frequency components of the engine cycle frequency and harmonics thereof. A load signal such as mass airflow and an RPM signal are generated. The magnitudes and phases of the frequency components and the load and RPM signals are supplied to the neural network to distinguish between a true misfire and normal cyclic variability which characterizes the combustion process.
    • 一种可训练的基于模式识别的方法和系统,用于检测在来自曲轴角速度的频域中的发动机循环频率的往复式内燃机中的失火。 优选地,使用包括神经网络的模式识别系统。 感测曲轴角位置以产生作为曲轴角速度的函数的电信号。 电信号包含被采样的数据。 采样数据被转换成包括发动机循环频率和谐波的频率分量的等效频域频谱。 产生诸如质量气流和RPM信号的负载信号。 将频率分量和负载和RPM信号的幅度和相位提供给神经网络,以区分表征燃烧过程的真实失火和正常循环变化。