In this paper, the cyclic combustion variations(CCV) in a gasoline engine are investigated by a new method－symbolic time series analysis(STSA). The pressure indicator diagrams under different operating conditions are tested. In order to symbolizing the data and improving the precise, in-cylinder peak pressure is chosen to be the characteristic parameter of CCV. Then, the specific technologies and approaches of STSA are applied to the test data, and the trends of characteristics of CCV with the change of rotary speed and load in a gasoline engine are obtained. As an attempt, the modified SHANNON entropy is proposed to assess the CCV in a gasoline engine for the first time. The results show that this method can be applied in STSA.
Key words
automobile engineering /
cyclic combustion variation /
symbolic time series analysis /
gasoline engine /
symbol sequence histogram /
SHANNON entropy
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References
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