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International Journal of Automotive Technology > Volume 22(3); 2021 > Article
International Journal of Automotive Technology 2021;22(3): 553-560.
doi: https://doi.org/1.10.1007/s12239-021-0051-1
STUDY ON COMPONENTS DURABILITY TEST CONDITIONS BASED ON COMBINED CLUSTERING AND MARKOV CHAIN METHOD
Yaohua Li, Yang Liu, Pandeng Shao, Zetian Li, Weiping Song
Chang'an University
PDF Links Corresponding Author.  Yaohua Li , Email. yaohua.li@chd.edu.cn
ABSTRACT
The process of obtaining durability test conditions of bus components is complicated. A way to build components durability test conditions based on driving cycle is proposed. Pure electric urban bus driving cycle in Xi'an based on running data is constructed based on combined clustering and Markov chain method, and simulation model of pure electric urban bus is built. The load conditions of the motor output shaft are obtained through simulation and calculation based on load torque applied on the motor shaft from simulation results based on actual drive cycle. The damage calculation method of motor output shaft under different load is constructed according to the liner fatigue cumulative damage theory and the material S-N curve. The four-peak-valley rain-flow counting method is used to calculate the damage of motor output shaft and the corresponding cycle life of motor shaft under different load conditions is determined. The motor speed condition and torque condition corresponding to driving cycle with the shortest life are selected as the motor output shaft durability testcondition.
Key Words: Driving cycle, Combined clustering and Markov chain, Components, Durability test condition
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