Kontrollierte Selbstzündung beim Ottomotor CO2 Einsparpotenziale

Kulzer, André; Fischer, Wolfgang; Karrelmeyer, Roland; Sauer, Christina; Wintrich, Thomas; Benninger, Klaus

doi:10.1007/bf03225457

Cited by 13 publications

(1 citation statement)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, nearly all NO x raw emissions can be avoided due to the low combustion temperature. 1,5–7 This feature makes GCAI combustion interesting as a way to comply with current and future emission legislation without expensive exhaust gas aftertreatment systems. The decrease in NO x emissions and the increase in efficiency compared to conventional stoichiometric operation are shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

Decoupling of consecutive gasoline controlled auto-ignition combustion cycles by field programmable gate array based real-time cylinder pressure analysis

Wick

Lehrheuer

Albin

et al. 2017

International Journal of Engine Research

View full text Add to dashboard Cite

Gasoline Controlled Auto Ignition (GCAI) combustion offers high potential for CO 2 emission reduction, but faces challenges regarding combustion stability and high sensitivity to changing boundary conditions. 1 Combustion chamber recirculation allows a wide operation range, but results in a strong coupling of consecutive cycles 2 due to residuals that are transferred to the subsequent combustion cycle. The cycle coupling leads to phases of unstable operation with reduced efficiency and increased emission levels. 3 State of the art control algorithms use data-driven models of GCAI combustion to achieve cycle-to-cycle control of the process 4 or use offline calibration and optimization. 5 A closed-loop control is proposed and implemented on a rapid control prototyping ECU. The control algorithm continuously calculates the current residual fuel in the combustion chamber. The heat release is observed and compared with the theoretical heat release of the injected fuel mass. The rate of unburned fuel mass transferred to the subsequent cycle is calculated offline by a detailed gas exchange model. Based on this information, the control algorithm adapts the injected fuel quantity for each cycle individually using an inverse injector model. In this article, a concept for decoupling consecutive cycles is presented to reduce the deviations of the indicated mean effective pressure (IMEP) and thus the heat release. Unstable sequences are analyzed in the time domain, and unburned residuals are identified as a strong correlating factor for consecutive cycles. Using real-time cylinder pressure analysis based on a field programmable gate array (FPGA) enables the online calculation of unburned residual fuel. Based on this calculation, the injection of each cycle can be adapted individually to decouple consecutive cycles and avoid unstable operation. The results of the control algorithm and the stabilization of the GCAI combustion are validated using a single cylinder research engine and compared to steady state operation.

show abstract

Section: Introductionmentioning

confidence: 99%