scholarly journals Minimization of Torque Deviation of Cylinder Deactivation Engine through 48V Mild-Hybrid Starter-Generator Control

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1432
Author(s):  
Hyunki Shin ◽  
Donghyuk Jung ◽  
Manbae Han ◽  
Seungwoo Hong ◽  
Donghee Han

Cylinder deactivation (CDA) is an effective technique to improve fuel economy in spark ignition (SI) engines. This technique enhances volumetric efficiency and reduces throttling loss. However, practical implementation is restricted due to torque fluctuations between individual cylinders that cause noise, vibration, and harshness (NVH) issues. To ease torque deviation of the CDA, we propose an in-cylinder pressure based 48V mild-hybrid starter-generator (MHSG) control strategy. The target engine realizes CDA with a specialized engine configuration of separated intake manifolds to independently control the airflow into the cylinders. To handle the complexity of the combined CDA and mild-hybrid system, GT-POWER simulation environment was integrated with a SI turbulent combustion model and 48V MHSG model with actual part specifications. The combustion model is essential for in-cylinder pressure-based control; thus, it is calibrated with actual engine experimental data. The modeling results demonstrate the precise accuracy of the engine cylinder pressures and of quantities such as MAF, MAP, BMEP, and IMEP. The proposed control algorithm also showed remarkable control performance, achieved by instantaneous torque calculation and dynamic compensation, with a 99% maximum reduction rate of engine torque deviation under target CDA operations.

2014 ◽  
Vol 984-985 ◽  
pp. 957-961
Author(s):  
Vijayashree ◽  
P. Tamil Porai ◽  
N.V. Mahalakshmi ◽  
V. Ganesan

This paper presents the modeling of in-cylinder pressure variation of a four-stroke single cylinder spark ignition engine. It uses instantaneous properties of working fluid, viz., gasoline to calculate heat release rates, needed to quantify combustion development. Cylinder pressure variation with respect to either volume or crank angle gives valuable information about the combustion process. The analysis of the pressure – volume or pressure-theta data of a engine cycle is a classical tool for engine studies. This paper aims at demonstrating the modeling of pressure variation as a function of crank angle as well as volume with the help of MATLAB program developed for this purpose. Towards this end, Woschni heat release model is used for the combustion process. The important parameter, viz., peak pressure for different compression ratios are used in the analysis. Predicted results are compared with experimental values obtained for a typical compression ratio of 8.3.


Author(s):  
Masaya Inoue ◽  
Junji Kitao ◽  
Yoshihiro Miyama ◽  
Moriyuki Hazeyama ◽  
Hitoshi Isoda ◽  
...  

2019 ◽  
Vol 68 (12) ◽  
pp. 11704-11713 ◽  
Author(s):  
Jihwan Seong ◽  
Semin Park ◽  
Min Ki Kim ◽  
Jangmuk Lim ◽  
Hobeom Han ◽  
...  

Author(s):  
John J. Batteh ◽  
Michael M. Tiller

In an effort to improve quality, shorten engine development times, and reduce costly and time-consuming experimental work, analytic modeling is being used upstream in the product development process to evaluate engine robustness to noise factors. This paper describes a model-based method for evaluating engine NVH (Noise, Vibration, and Harshness) robustness due to manufacturing variations for a statistically significant engine population. A brief discussion of the cycle simulation model and its capabilities is included. The methodology consists of Monte Carlo simulations involving several noise factors to obtain the crank-angle resolved response of the combustion process and Fourier analysis of the resulting engine torque. Further analysis of the Fourier results leads to additional insights regarding the relative importance of and sensitivity to the individual noise factors. While the cost and resources required to experimentally evaluate a large engine population can be prohibitive, the analytical modeling proved to be a cost-effective way of analyzing the engine robustness taking into account manufacturing process capability.


2020 ◽  
pp. 146808742090599
Author(s):  
Yang Wang ◽  
Jingchen Cui ◽  
Xiangyu Meng ◽  
Jiangping Tian ◽  
Hua Tian ◽  
...  

Braking safety of heavy-duty engines has always been the focus of the research, and the fuel economy and after-treatment thermal management during low-load operation of heavy-duty engines have also received much attention in recent years. A variable mode valve actuation system which can realize switching between four-stroke driving, two-stroke compression release braking and cylinder deactivation modes on a traditional four-stroke engine was proposed in this article. Two-stroke compression release braking mode of the variable mode valve actuation system can greatly enhance the braking safety, while the overload of valve train was a great challenge, especially during the release event. The effects of different release opening timing on cylinder pressure and the braking performance were studied. The results indicated that a higher cylinder pressure does not always lead to higher braking power. When the release opening timing was advanced by 6 °CA, the braking power reduced by only 9 kW (2.65%) at 1900 r/min compared with the initial value, while the maximum cylinder pressure reduced by 11.4 bar (20.8%). Besides, the variable mode valve actuation system can realize alternate three-cylinder cylinder deactivation mode on a six-cylinder turbocharged engine, which can improve the brake-specific fuel consumption by 14.67% and increase the turbine outlet temperature by 63.6 °C and reduce the exhaust flow rate by 50.66% at lightly load idle. Meanwhile, when the engine load is less than 50% at the rated speed, the three-cylinder cylinder deactivation mode can improve the brake-specific fuel consumption, increase the turbine outlet temperature and reduce the exhaust flow rate. The increase of the turbine outlet temperature and the decrease of the exhaust flow rate are very beneficial to improve the efficiency of the after-treatment thermal management of heavy-duty engines.


2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Xiao Huang ◽  
Lulu Kang ◽  
Mateos Kassa ◽  
Carrie Hall

In-cylinder pressure is a critical metric that is used to characterize the combustion process of engines. While this variable is measured on many laboratory test beds, in-cylinder pressure transducers are not common on production engines. As such, accurate methods of predicting the cylinder pressure have been developed both for modeling and control efforts. This work examines a cylinder-specific pressure model for a dual fuel compression ignition engine. This model links the key engine input variables to the critical engine outputs including indicated mean effective pressure (IMEP) and peak pressure. To identify the specific impact of each operating parameter on the pressure trace, a surrogate model was produced based on a functional Gaussian process (GP) regression approach. The pressure trace is modeled as a function of the operating parameters, and a two-stage estimation procedure is introduced to overcome various computational challenges. This modeling method is compared to a commercial dual fuel combustion model and shown to be more accurate and less computationally intensive.


2017 ◽  
Vol 53 (4) ◽  
pp. 3936-3949 ◽  
Author(s):  
Sergio Saponara ◽  
Pierre Tisserand ◽  
Pierre Chassard ◽  
Dieu-My Ton

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Claude Valery Ngayihi Abbe ◽  
Robert Nzengwa ◽  
Raidandi Danwe

The present work presents the comparative simulation of a diesel engine fuelled on diesel fuel and biodiesel fuel. Two models, based on tabulated chemistry, were implemented for the simulation purpose and results were compared with experimental data obtained from a single cylinder diesel engine. The first model is a single zone model based on the Krieger and Bormann combustion model while the second model is a two-zone model based on Olikara and Bormann combustion model. It was shown that both models can predict well the engine’s in-cylinder pressure as well as its overall performances. The second model showed a better accuracy than the first, while the first model was easier to implement and faster to compute. It was found that the first method was better suited for real time engine control and monitoring while the second one was better suited for engine design and emission prediction.


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