Peer-to-Peer Collaborative Vehicle Health Management – The Concept and An Initial Study

Yilu Zhang, Xinyu Du, and Mutasim Salman
Submission Type: 
Full Paper
phmc_12_110.pdf612.94 KBSeptember 14, 2012 - 7:22am

Advanced vehicle diagnostics and prognostics (D&P) technology enhances ownership experience, and reduces corporate warranty cost. D&P performance optimization requires significant algorithm tuning and a large amount of test data collection, which is resource consuming.

In this paper, we propose a novel D&P framework called Collaborative Vehicle Health Management (CVHM) to automatically optimize the D&P algorithms on a host vehicle, using the field data collected from peer vehicles encountered on the road. The carefully designed system architecture and learning algorithms enhance D&P performance without costly human intervention. The experimental results on battery remaining useful life prediction show the effectiveness of the proposed framework. This proposed framework has been implemented in a small test fleet as a proof-of-concept prototype.

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Submission Keywords: 
battery management systems
Remaining Useful Life Estimation
remote diagnosis
adaptive optimization
Submission Topic Areas: 
Industrial applications
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