Sensor- Less Individual Cylinder Pressure Estimation and Closed Loop Control for Cold Start and Torque Balancing

Rackmil, Chuck I.; McKay, Daniel

doi:10.4271/2010-01-1269

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…In the work by Kulah et al, 1 a new single-cylinder pressure sensor (CPS) concept for heavy-duty diesel engines was introduced. Compared to other papers, [2][3][4][5][6] the work by Kulah et al 1 focuses on heavy-duty diesel powertrains, which are characterized by a relatively flexible crankshaft in contrast to the existing passenger car applications. Furthermore, in the work of Thor et al, 7 direct torque measurements are used for combustion phasing estimation and control in a diesel engine.…”

Section: Introductionmentioning

confidence: 99%

Robust cylinder pressure estimation in heavy-duty diesel engines

Kulah

Forrai

Rentmeester

et al. 2017

International Journal of Engine Research

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The robustness of a new single cylinder pressure sensor concept is experimentally demonstrated on a six cylinder heavy-duty Diesel engine. Using a single cylinder pressure sensor and a crank angle sensor, this single cylinder pressure sensor concept estimates the in-cylinder pressure traces in the remaining cylinders by applying a realtime, flexible crankshaft model combined with an adaptation algorithm. The single cylinder pressure sensor concept is implemented on CPU/FPGA based hardware. For steady-state engine operating conditions, the added value of the adaptation algorithm is demonstrated for cases in which a fuel quantity change or start of injection change is applied in a single, non-instrumented cylinder. It is shown that for steady state and transient engine conditions, the cylinder pressure traces and corresponding combustion parameters, IMEP, PMAX, and CA50, can be estimated with 1.

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Section: Introductionmentioning

confidence: 99%

Robust cylinder pressure estimation in heavy-duty diesel engines

Kulah

Forrai

Rentmeester

et al. 2017

International Journal of Engine Research

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“…CLCC can reduce both tailpipe and noise, vibration, and harshness (NVH) emissions 1 and can improve performance following cold start. 2 A pressure trace can be used to optimise engine performance, efficiency, and emissions. But it also contains combustion parameter information such as peak pressure, rates of change of pressure, indicated mean effective pressure (IMEP), and ignition timing, useful for knock and misfire detection, cylinder balancing, reduction of cycle-by-cycle variability, control of NVH, and after-treatment.…”

Section: Introductionmentioning

confidence: 99%

Unified approach to engine cylinder pressure reconstruction using time-delay neural networks with crank kinematics or block vibration measurements

Trimby

Dunne

Bennett

et al. 2016

International Journal of Engine Research

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Closed-loop combustion control (CLCC) in gasoline engines can improve efficiency, calibration effort, and performance using different fuels. Knowledge of in-cylinder pressures is a key requirement for CLCC. Adaptive cylinder pressure reconstruction offers a realistic alternative to direct sensing, which is otherwise necessary as legislation requires continued reductions in CO2 and exhaust emissions. Direct sensing however is expensive and may not prove adequately robust. A new approach is developed for in-cylinder pressure reconstruction on gasoline engines. The approach uses Time-Delay feed-forward Artificial Neural Networks trained with the standard Levenberg-Marquardt algorithm. The same approach can be applied to reconstruction via measured crank kinematics obtained from a shaft encoder, or measured engine cylinder block vibrations obtained from a production knock sensor. The basis of the procedure is initially justified by examination of the information content within measured data, which is considered to be equally important as the network architecture and training methodology. Key hypotheses are constructed and tested using data taken from a 3-cylinder (DISI) engine to reveal the influence of the data information content on reconstruction potential. The findings of these hypotheses tests are then used to develop the methodology. The approach is tested by reconstructing cylinder pressure across a wide range of steady-state engine operation using both measured crank kinematics and block accelerations. The results obtained show a very marked improvement over previously published reconstruction accuracy for both crank kinematics and cylinder block vibration based reconstruction using measurements obtained from a multi-cylinder engine. The paper shows that by careful processing of measured engine data, a standard neural network architecture and a standard training algorithm can be used to very accurately reconstruct engine cylinder pressure with high levels of robustness and efficiency. 27 main-section pages (double spaced) 23 references Figures 1-13 No appendices

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Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?

Willems

2018

IFAC-PapersOnLine

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Sensor- Less Individual Cylinder Pressure Estimation and Closed Loop Control for Cold Start and Torque Balancing

Cited by 5 publications

References 4 publications

Robust cylinder pressure estimation in heavy-duty diesel engines

Robust cylinder pressure estimation in heavy-duty diesel engines

Unified approach to engine cylinder pressure reconstruction using time-delay neural networks with crank kinematics or block vibration measurements

Is Cylinder Pressure-Based Control Required to Meet Future HD Legislation?

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