An interdisciplinary review on calibration strategies of engine management system for diverse alternative fuels in IC engine applications

Jacob, Ashwin; Ashok, B.

doi:10.1016/j.fuel.2020.118236

Cited by 21 publications

(6 citation statements)

References 158 publications

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“…In this section, the methods adopted to identify the fuel blend compositions, EMS functions, and calibration of operating parameters in EMS for different ethanol blends in FFE are discussed. As an initial starting process, the fuel blend composition is identified by the fuel recognition unit, and based on the information, the EMS will control the operating parameters (fuel injection, ignition, etc) to produce the required torque demand by the driver 54‐56 . As per the operating sequence, there are a few techniques adopted to estimate the ethanol content in the fuel tank, which are depicted in Figure 6.…”

Section: Features Of Engine Management System For Ffementioning

confidence: 99%

“…As an initial starting process, the fuel blend composition is identified by the fuel recognition unit, and based on the information, the EMS will control the operating parameters (fuel injection, ignition, etc) to produce the required torque demand by the driver. [54][55][56] As per the operating sequence, there are a few techniques adopted to estimate the ethanol content in the fuel tank, which are depicted in Figure 6.…”

Section: Features Of Engine Management System For Ffementioning

confidence: 99%

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Critical review on recent progress of ethanol fuelled flex‐fuel engine characteristics

Azhaganathan

Ashok

2022

Intl J of Energy Research

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Summary Ethanol‐powered spark ignition (SI) engines have the potential to mitigate the twin crisis of fossil fuel depletion and exhaust emissions. However, the successful promotion of ethanol is hindered due to the restriction of fuel blend diversity and design features in the conventional SI engine. The fuel flexibility can be overcome by the use of flex‐fuel engine (FFE) technology with appropriate changes in engine design features for a wide range of ethanol blends. The understanding of FFE based on various technical aspects has greater potential in the automotive sector. Therefore, this review paper provides a holistic approach to critically analyze the various technical aspects of FFE. In this work, the application of ethanol blends on FFE output characteristics is reviewed critically considering the effects of engine operating conditions and parameters. Further, the impact of ethanol blends on material compatibility, cold starting characteristics, and unregulated emissions are analyzed. The outcome of the study shows that combustion and performance characteristics such as cylinder pressure(CP), heat release rate (HRR), and brake thermal efficiency (BTE) are improved in FFE operation due to the clean‐burning characteristics of ethanol blends. Also, carbon monoxide(CO) and hydrocarbon (HC) emissions decreased without any significant improvement in nitrogen oxides (NOx) emissions with a wide range of ethanol shares in FFE. Finally, this study summarizes the present status of research in FFE and creates a route towards the direction of multidisciplinary research need in the future that supports the application of different types of biofuels in FFE.

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Section: Features Of Engine Management System For Ffementioning

confidence: 99%

Section: Features Of Engine Management System For Ffementioning

confidence: 99%

Critical review on recent progress of ethanol fuelled flex‐fuel engine characteristics

Azhaganathan

Ashok

2022

Intl J of Energy Research

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“…Other exhaust pollutants include hydrocarbons, carbon monoxide, nitrogen oxides, and sulphur oxides. As a result, it is essential to develop substitute fuels to replace the existing fossil fuels used in IC engines (Jacob & Ashok, 2020).…”

Section: Introductionmentioning

confidence: 99%

Waste plastic oil to fuel: An experimental study in thermal barrier coated CI engine with exhaust gas recirculation

Sudeshkumar¹,

Xavier

Balu

et al. 2022

Environmental Quality Mgmt

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The disposal of waste plastic has intensified into a massive environmental crisis. A sound disposal technology may be extremely expensive or complex in operation. As a result, experts are investigating alternative methods of recycling waste plastic. Waste plastic oils (WPO) are gaining interest as a replacement for petroleum-based fuels since they can deliver substantial performance while having a low environmental impact. The goal of this research is to look into the use of WPO in a retarded timing (RT) engine with a partially stabilized zirconium combustion chamber surface (PSZ). In addition, Exhaust Gas Recirculation (EGR) augmentation was used to realize WPO performance fully. With 20% EGR, the engine's thermal efficiency increased by 6.33%, along with the significant reduction of NOx. However, CO, HC, and smoke particle emissions increased by 4.56%, 5.76%, and 3.54%. More research on the sustainability aspects of the WPO is required before considering it as a fuel for the transportation sector.

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“…To overcome this challenge, high number of engine parameters are calibrated to obtain desired engine output characteristics using optimization and data driven based modeling algorithms in recent years. 28 These techniques, also called as learning based modeling allow prediction of engine emission and performance characteristics using the different few test points within the determined engine operating area. The neural networks (NN) are flexible learning based data driven models and offer several advantages in the modeling and control of internal combustion engine parameters compared to the conventional mapping method.…”

Section: Introductionmentioning

confidence: 99%

Development of optimal diesel injection strategy based on the prediction of performance and emissions using deep neural network

Güner

Kaleli

Bakırcı

et al. 2021

International Journal of Engine Research

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This study aims to determine the optimal injection strategy by predicting the performance and exhaust emission parameters of a four-cylinder CRDI engine under several operating conditions. The experimental determination procedure is challenging and expensive calibration task since it requires a high number of tests. Many studies have focused on a limited level of parameters. In this study, design of experiments technique and deep neural network (DNN) modeling are used together. The experimental data set for the model is created using Taguchi L16 and L32 orthogonal arrays. The DNN model is developed to predict [Formula: see text], [Formula: see text], HC, and CO emissions with speed, torque, injection timings and fuel quantities of each injection called as pilot1, pilot2, main, and post. In this way, it has become possible to evaluate the effects of a larger number of operating parameters in a wide range than the literature. The developed DNN model predicts the [Formula: see text], [Formula: see text], HC, and CO with R2 0.939, 0.943, 0.963, and 0.966, respectively. Additionally, RMSE and MAE values for the model are between 0.024 and 0.048. The proposed method compared with the conventional look-up table method performs better in reducing the complexity and cost of experiments and exploration of the effects of injection parameters on engine emission and performance characteristics in a wide engine operating range. In conclusion, until 2300 rpm at specified torque (90 Nm), it is found that 70% of fuel quantity should inject in main injection to minimize [Formula: see text] and [Formula: see text] emissions. The post injection quantity should be increased by reducing the amount of main injection from this operating condition on. Furthermore, it is observed that the ratios of pilot injection durations do not change with increasing engine speed, but quantity of first pilot injection is more than that of second pilot injection.

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An interdisciplinary review on calibration strategies of engine management system for diverse alternative fuels in IC engine applications

Cited by 21 publications

References 158 publications

Critical review on recent progress of ethanol fuelled flex‐fuel engine characteristics

Critical review on recent progress of ethanol fuelled flex‐fuel engine characteristics

Waste plastic oil to fuel: An experimental study in thermal barrier coated CI engine with exhaust gas recirculation

Development of optimal diesel injection strategy based on the prediction of performance and emissions using deep neural network

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