Knock Limited Spark Advance Prediction of a Direct-Injection
Spark-Ignition Engine Using a Livengood-Wu Integral Transport Equation Based
Knock Model 2022-01-7054
Knocking combustion limits the application of high compression ratios in gasoline
engines and therefore obstructs the improvement of thermal efficiency.
Predicting knock and knock limited spark advance (KLSA) can guide engine upfront
design and optimization before the prototype is built. This study employed
three-dimensional computational fluid dynamics (CFD) simulations coupled with an
accurate and computation-efficient knock model to predict the KLSA of a
turbocharged direct-injection spark-ignition engine. The knock model predicted
the end-gas auto-ignition based on a Livengood-Wu (L-W) integral transport
equation instead of directly using detailed chemical mechanisms, which was able
to achieve a fast computation time. To keep the predictability, ignition delay
data was calculated using zero-dimensional chemistry simulation and tabulated a
priori, which was then used for CFD simulation on the fly. The results showed
that the CFD model was able to well reproduce engine combustion processes and
predict KLSA under different operating conditions. It showed that the errors
between predicted and measured KLSA were within 2° crank angles. In addition,
the model successfully predicted the increasing knocking tendency when the
intake temperature increased, which further verified the accuracy of the knock
model.
Citation: Wu, Z., Han, Z., Meng, S., Li, T. et al., "Knock Limited Spark Advance Prediction of a Direct-Injection Spark-Ignition Engine Using a Livengood-Wu Integral Transport Equation Based Knock Model," SAE Technical Paper 2022-01-7054, 2022, https://doi.org/10.4271/2022-01-7054. Download Citation
Author(s):
Zhenkuo Wu, Zhiyu Han, Shuo Meng, Ting Li, Bo Hu
Affiliated:
Tongji University, School of Automotive Studies, United Automotive Electronic Systems Company, Ltd.
Pages: 10
Event:
SAE 2022 Vehicle Electrification and Powertrain Diversification Technology Forum
ISSN:
0148-7191
e-ISSN:
2688-3627
Related Topics:
Computational fluid dynamics
Spark ignition engines
Combustion and combustion processes
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