Combustion Control Method of Homogeneous Charge Diesel Engines

1998 ◽  
Author(s):  
Hisakazu Suzuki ◽  
Noriyuki Koike ◽  
Matsuo Odaka
Keyword(s):  
Diesel Engines ◽  
Control Method ◽  
Combustion Control ◽  
Homogeneous Charge

A New Dynamic Combustion Control Method Based on Charge Oxygen Concentration for Diesel Engines

2003 ◽  
Author(s):  
Shigeki Nakayama ◽  
Takao Fukuma ◽  
Akio Matsunaga ◽  
Teruhiko Miyake ◽  
Toru Wakimoto
Keyword(s):  
Oxygen Concentration ◽  
Diesel Engines ◽  
Control Method ◽  
Combustion Control ◽  
Dynamic Combustion

scholarly journals Analysis of Homogeneous Charge Compression Ignition (HCCI) Engines for Cogeneration Applications

2005 ◽  
Vol 128 (1) ◽  
pp. 16-27 ◽  
Author(s):  
Salvador M. Aceves ◽  
Joel Martinez-Frias ◽  
Gordon M. Reistad
Keyword(s):  
Diesel Engines ◽  
High Efficiency ◽  
Homogeneous Charge Compression Ignition ◽  
Utilization Efficiency ◽  
Small Scale ◽  
Compression Ignition ◽  
Hcci Engines ◽  
Si Engines ◽  
Prime Movers ◽  
Homogeneous Charge

This paper presents an evaluation of the applicability of homogeneous charge compression ignition (HCCI) engines for small-scale cogeneration (<1MWe) in comparison to five previously analyzed prime movers. The five comparator prime movers include stoichiometric spark-ignited (SI) engines, lean burn SI engines, diesel engines, microturbines, and fuel cells. The investigated option, HCCI engines, is a relatively new type of engine that has some fundamental differences with respect to other prime movers. The prime movers are compared by calculating electric and heating efficiency, fuel consumption, nitrogen oxide (NOx) emissions, and capital and fuel costs. Two cases are analyzed. In case 1, the cogeneration facility requires combined power and heating. In case 2, the requirement is for power and chilling. The results show that HCCI engines closely approach the very high fuel utilization efficiency of diesel engines without the high emissions of NOx and the expensive diesel fuel. HCCI engines offer a new alternative for cogeneration that provides a combination of low cost, high efficiency, low emissions, and flexibility in operating temperatures that can be optimally tuned for cogeneration systems. HCCI is the most efficient engine technology that meets the strict 2007 CARB NOx standards for cogeneration engines, and merits more detailed analysis and experimental demonstration.

Search for Optimizing Control Method of Homogeneous Charge Diesel Combustion

1999 ◽  
Author(s):  
Matsuo Odaka ◽  
Hisakazu Suzuki ◽  
Noriyuki Koike ◽  
Hajime Ishii
Keyword(s):  
Control Method ◽  
Diesel Combustion ◽  
Optimizing Control ◽  
Homogeneous Charge

scholarly journals Combustion Control by Pilot Fuel Injection for Utilizing Low Cetane Number Fuels in Diesel Engines

2007 ◽  
Vol 73 (733) ◽  
pp. 1958-1964 ◽  
Author(s):  
Toshio SHUDO ◽  
Toshiya NAKAJIMA ◽  
Hideyuki OGAWA ◽  
Kazuhiko SUZUKI
Keyword(s):  
Diesel Engines ◽  
Fuel Injection ◽  
Cetane Number ◽  
Combustion Control ◽  
Pilot Fuel

An EGR Control Method for Heavy-Duty Diesel Engines under Transient Operations

1990 ◽  
Author(s):  
Kazuyuki Narusawa ◽  
Matsuo Odaka ◽  
Noriyuki Koike ◽  
Yujiro Tsukamoto ◽  
Koichi Yoshida
Keyword(s):  
Diesel Engines ◽  
Control Method ◽  
Heavy Duty ◽  
Heavy Duty Diesel ◽  
Transient Operations

scholarly journals Model Based Control Method for Diesel Engine Combustion

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 6046
Author(s):  
Hu Wang ◽  
Xin Zhong ◽  
Tianyu Ma ◽  
Zunqing Zheng ◽  
Mingfa Yao
Keyword(s):  
Internal Combustion Engines ◽  
Closed Loop ◽  
Control Method ◽  
Engine Performance ◽  
Quadratic Function ◽  
Combustion Control ◽  
Information Processing Speed ◽  
Loop Control ◽  
Pressure Trace ◽  
Artificial Neural Network Ann

With the increase of information processing speed, more and more engine optimization work can be processed automatically. The quick-response closed-loop control method is becoming an urgent demand for the combustion control of modern internal combustion engines. In this paper, artificial neural network (ANN) and polynomial functions are used to predict the emission and engine performance based on seven parameters extracted from the in-cylinder pressure trace information of over 3000 cases. Based on the prediction model, the optimal combustion parameters are found with two different intelligent algorithms, including genetical algorithm and fish swarm algorithm. The results show that combination of quadratic function with genetical algorithm is able to obtain the appropriate combustion control parameters. Both engine emissions and thermal efficiency can be virtually predicted in a much faster way, such that enables a promising way to achieve fast and reliable closed-loop combustion control.

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