Model Based Engine Speed Evaluation for Single-Cylinder Engine Control

Seuling, Silke; Hamedovic, Haris; Fischer, Wolfgang; Schuerg, Frank

doi:10.4271/2012-32-0044

Cited by 9 publications

(3 citation statements)

References 2 publications

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“…Additional methods of estimating IMEP based on the crankshaft instantaneous speed signal are found in the literature as well [14,15]. The crankshaft instantaneous speed signal was also previously used to recompose cylinder pressure data using artificial neural networks [16] and for cycle-by-cycle cylinder pressure estimation [17,18,19].…”

Section: Combustion Analysismentioning

confidence: 99%

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Yacoubi¹,

Samuel²

2023

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Internal combustion (IC) engines are the most common power unit technology found in road vehicles. The process of combustion within IC engines is linked to the output torque and overall powertrain performance. This work presents a method of analysing the parameters of cylinder pressure and crankshaft instantaneous speed signals obtained from a turbocharged, 4-stroke, 4-cylinder, 1.6 Litre, spark ignition, gasoline direct injection engine at various speed and load operating conditions. Whereas cepstrum analysis is used in the present work to extract critical features characterising the combustion process. Cepstrum analysis showed that the location of maximum heat release can be directly obtained from the quefrency of the instantaneous crank speed. This paper presents a systematic scheme for applying cepstrum for obtaining combustion features from the instantaneous crank speed signal.</div></div>

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Section: Combustion Analysismentioning

confidence: 99%

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Yacoubi¹,

Samuel²

2023

SAE Technical Paper Series

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“…Also the realtime capable implementation of advanced numerical methods such as implicit discretization of stiff ordinary differential equations for ECU software functions have been successfully implemented (Wagner et al 2008) and are used in real-life applications. One major advantage of physical models is that they can reduce calibration effort and the number of characteristic maps (Seuling et al 2012).…”

Section: Physical Models On Ecus: State Of the Artmentioning

confidence: 99%

FMI for Physical Models on Automotive Embedded Targets

Bertsch

Neudorfer

Ahle

et al. 2015

Linköping Electronic Conference Proceedings

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This paper explores the possibility to include and execute source code functional mockup units on Bosch electronic control units. A prototypical realization is presented, and assumptions as well as limitations are documented. Special emphasis is laid on requirements for the contained C-code. Furthermore, aspects for an extension to adapt the FMI to the usage on automotive embedded real-time systems are summarized.

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“…Speed data is affected by measurement noise from the crankshaft and process noise from the engine. These noise sources result in a huge accumulation error during pressure measurements, and EKF is chosen to optimize prediction and filtering [23,24].…”

Section: Introductionmentioning

confidence: 99%

A Virtual In-Cylinder Pressure Sensor Based on EKF and Frequency-Amplitude-Modulation Fourier-Series Method

Wang

Sun

et al. 2019

Sensors

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As a crucial and critical factor in monitoring the internal state of an engine, cylinder pressure is mainly used to monitor the burning efficiency, to detect engine faults, and to compute engine dynamics. Although the intrusive type cylinder pressure sensor has been greatly improved, it has been criticized by researchers for high cost, low reliability and short life due to severe working environments. Therefore, aimed at low-cost, real-time, non-invasive, and high-accuracy, this paper presents the cylinder pressure identification method also called a virtual cylinder pressure sensor, involving Frequency-Amplitude Modulated Fourier Series (FAMFS) and Extended-Kalman-Filter-optimized (EKF) engine model. This paper establishes an iterative speed model based on burning theory and Law of energy Conservation. Efficiency coefficient is used to represent operating state of engine from fuel to motion. The iterative speed model associated with the throttle opening value and the crankshaft load. The EKF is used to estimate the optimal output of this iteration model. The optimal output of the speed iteration model is utilized to separately compute the frequency and amplitude of the cylinder pressure cycle-to-cycle. A standard engine’s working cycle, identified by the 24th order Fourier series, is determined. Using frequency and amplitude obtained from the iteration model to modulate the Fourier series yields a complete pressure model. A commercial engine (EA211) provided by the China FAW Group corporate R&D center is used to verify the method. Test results show that this novel method possesses high accuracy and real-time capability, with an error percentage for speed below 9.6% and the cumulative error percentage of cylinder pressure less than 1.8% when A/F Ratio coefficient is setup at 0.85. Error percentage for speed below 1.7% and the cumulative error percentage of cylinder pressure no more than 1.4% when A/F Ratio coefficient is setup at 0.95. Thus, the novel method’s accuracy and feasibility are verified.

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Model Based Engine Speed Evaluation for Single-Cylinder Engine Control

Cited by 9 publications

References 2 publications

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

Feature Extraction from a Crankshaft Instantaneous Speed Signal of an Automotive Power Unit using Cepstrum Analysis

FMI for Physical Models on Automotive Embedded Targets

A Virtual In-Cylinder Pressure Sensor Based on EKF and Frequency-Amplitude-Modulation Fourier-Series Method

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