This study explores on-board data reduction techniques for efficient over-the-air transmission of in-cylinder pressure data in connected vehicles. Besides its significance for combustion diagnostics, the in-cylinder pressure signal conveys valuable information about the engine operation that could enhance fleet monitoring and management. However, the high sampling frequency of this signal leads to substantial data volume. In this work, singular value decomposition (SVD) and QR factorization with column pivoting were explored for data reduction in a vehicle equipped with an in-cylinder pressure sensor, and over-the-air transmission of the reduced data to a cloud server was implemented. This work establishes the feasibility of these techniques for in-vehicle applications and the results indicate accurate signal reconstruction with a significant 95% and 97% reduction in data size for SVD and SVD + QR, respectively. The findings suggest that both methods are appropriate for in-cylinder pressure data transmission, although the SVD + QR technique might be preferred in situations where on-board diagnostics solutions are required.
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