Design principle of active load spectrum for shafting components in wheel hub reducer of electric vehicle

Abstract

Design principle of active load spectrum is proposed for the lightweight design of shafting components. The characteristics of fatigue and the strengthening effect of low-amplitude load are conducted according to the material properties of the shafting components. The stress–life curve and three-dimensional surface of low-amplitude strengthening load are established for the life calculation of shafting components. Fast calculation method of working stress for variable size of shafting components is obtained considering the road cycle in Shanghai, the load spectrum is extrapolated, the torque working condition which is equivalent to load spectrum of 3000 km is achieved, and the fatigue damage and strengthening proportion of working stress spectrum of shafting components are adjusted, finally the minimum size of shafting components is designed to meet the requirement of service life. The design principle of active load spectrum can provide a new idea for the lightweight design of automotive components.

Keywords

Electric vehicle hub reducer shafting design low-amplitude load strengthening active load spectrum

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References

Zhang

R&D for environmental innovation and supportive policy: the implications for new energy automobile industry in China. Energy Procedia 2011; 5: 1003–1007.

Yuan

Wang

Torque distribution strategy for a front- and rear-wheel-driven electric vehicle. IEEE T Veh Technol 2012; 61: 3365–3374.

Pennycott

Novellis

Sabbatini

, et al. Reducing the motor power losses of a four-wheel drive, fully electric vehicle via wheel torque allocation. Proc IMechE, Part D: J Automobile Engineering 2014; 228: 830–839.

Wirsching

Light

MC.

Fatigue under wide band random stresses. J Struct Div 1980; 106: 1593–1607.

Jiao

GY.

A theoretical model for the prediction of fatigue under combined Gaussian and impact loads. Int J Fatigue 1995; 17: 215–219.

Zheng

XL.

On some basic problems of fatigue research in engineering. Int J Fatigue 2001; 23: 751–766.

Goodarzi

Esmailzadeh

Design of a VDC system for all-wheel independent drive vehicles. IEEE Trans Mech 2007; 12: 632–639.

Cai

Wang

Bai

, et al. Key technologies of EV motor drive system design. Proc Eng 2011; 16: 356–362.

Robert Bosch GmbH. Bosch automotive handbook. 7th ed.Hoboken, NJ: Wiley, 2007.

10.

Triantafyllidis

Antonopoulos

Spiliotis

, et al. Fracture characteristics of fatigue failure of a vehicle’s ductile iron steering knuckle. J Fail Anal Prevent 2009; 9: 323–328.

11.

Sonsino

CM.

Light-weight design chances using high-strength steels. MatWerk 2007; 38: 9–22.

12.

Kaufmann

Sonsino

Demofonti

High-strength steels in welded state for light-weight constructions under high and variable stress peaks. Steel Res 2007; 79: 382–389.

13.

Zheng

Strengthening and damaging under low-amplitude load below the fatigue limit. Int J Fatigue 2009; 31: 341–345.

14.

Songlin

Lightweight design of vehicle components based on the strengthening effects of low-amplitude loads below the fatigue limit. Fatigue Fract Eng M 2012; 35: 269–277.

15.

Zhao

Zheng

Feng

Fatigue life prediction based on simplified low-amplitude-load strengthening model. J Mech Eng 2013; 49: 115–122.

16.

Ning

Zheng

Wang

, et al. Lightweight design of gears in the wheel-side reducer based on Shanghai road driving cycle. Proc IMechE, Part D: J Automobile Engineering. Epub ahead of print 23 April 2018. DOI: 10.1177/0954407018768176.

17.

Zheng

Cheng

Jin

Research on the increasing rules of yield strength of vehicle parts after low amplitude loading. T Chin Soc Agric Mach 1999; 30: 83–87.

18.

Wang

Fang

Zheng

. The electric car wheel drive system of design and research. J Mech Des Manuf 2012: 146–148.

19.

Zhao

LH.

Parts under random spectrum fatigue life evaluation and failure associated load analysis. Shanghai, China: Shanghai University of Science and Technology, 2014.

20.

Qin

Tan

, et al. Large-sample-based car-driving cycle in Shanghai city. J Tongji Univ (Nat Sci) 2015; 43: 1523–1527.

21.

ZS.

Automobile theory. 5th ed.Beijing, China: Machinery Industry Press, 2010.

22.

Gillespie

TD.

Vehicle dynamics foundation (Translate by Zhao

Jin

). Beijing, China: Tsinghua University Press, 2006.

23.

Johannesson

Extrapolation of load histories and spectra. Fatigue Fract Eng M 2006; 29: 209–207.

24.

Zhang

Yang

Reliability-based sensitivity analysis of vehicle components with non-normal distribution parameters. Int J Automot Techn 2009; 10: 181–194.