Research on Vehicle Survival Rule Based on Service Life Distribution

DOI

10.2991/978-94-6463-552-2_4How to use a DOI?

Keywords

Automobile; survival rate; heavy trucks; battery electric vehicle (BEV); service life

Abstract

This paper analyzes the distribution law of automobile service life through big data and studies the survival rate of automobiles. The Weibull distribution model is used to fit the data of different types of automobiles, revealing that the survival rate of automobiles decreases with the increase in years of use. Comparing the data from 2022 and 2016, it is found that except for heavy-duty trucks, the survival ratio of other types of vehicles has increased in the same year. The survival life of new energy vehicles is usually within 10 years, which is significantly lower than that of traditional vehicles. These research results provide an important basis for automobile manufacturers and policymakers, helping to improve the durability and environmental benefits of automobile products.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hongwei Li
AU  - Panchun Liang
AU  - Yufan Jiao
AU  - Zidu Yang
PY  - 2024
DA  - 2024/10/27
TI  - Research on Vehicle Survival Rule Based on Service Life Distribution
BT  - Proceedings of the 4th International Conference on Management Science and Software Engineering (ICMSSE 2024)
PB  - Atlantis Press
SP  - 27
EP  - 35
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-552-2_4
DO  - 10.2991/978-94-6463-552-2_4
ID  - Li2024
ER  -