Research on the Method of Screening the Real Vehicle Data Fragment for Driving Cycle

Abstract:

The typical fragment screening is one of the key links in the construction driving cycle. This problem is widely adopted Duration intercept method and clustering analysis method. Both methods are subjective,and the requirements for data of working conditions is huge. Aimed at these shortages, Using multivariate statistical theory discriminate analysis method, differentiate and classify the condition data. Basing on the statistical analysis of condition data, establish the discriminate function. With a city as example, Driving Cycle is established. Based on the discriminate analysis, classify the driving data. The effectiveness of the driving cycle is confirmed. The result of comparing discriminate analysis and traditional method shows that the driving cycle based on discriminate analysis can accurately reflect the characteristics of different kinds of driving conditions, and the data demand is reduced, meanwhile, the data acquisition test is simpler, the cost of establishing a driving cycle is cut, and development cycle is reduced.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 564-568
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.564
• Online since: March 2015
• Authors: Shu Pei Zhang*, Wei Zhang
• Keywords: Cluster Analysis, Construction Method, Discriminate Analysis, Driving Cycle

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