Coupled Dynamic Research and Optimization Between Integrated Powertrain System and Electric Commercial Vehicles

• Published in: Journal of Vibration Engineering & Technologies Vol. 13; no. 2; p. 176
• Main Authors: Mo, Shuai, Chen, Keren, Zhang, Yingxin, Lyu, Liangyuan, Zhou, Yuansheng, Yao, Bowei, Zhang, Wei
• Format: Journal Article
• Language: English
• Published: Singapore Springer Nature Singapore 01.02.2025; Springer Nature B.V
• Subjects: Acoustics; Control; Dynamical Systems; Engineering; Engineering Acoustics; Original Paper; Vibration; Integrated powertrain system; Vibration optimization; Multi-sources excitation; Coupled multibody dynamics; Electric commercial vehicles
• ISSN: 2523-3920; 2523-3939
• DOI: 10.1007/s42417-024-01649-w

Purpose Integrated powertrain system is generally assembled in the drive axle for electric commercial vehicles as quite a few advantages, but it will more directly subject to the complex excitation aroused by road. In this research, a dynamic model composed of integrated powertrain system and electric commercial vehicles is developed to investigates the coupled dynamic characteristics. Methods The mathematical model for torque ripple of driving motor, time-varying meshing stiffness and transmission error of gear system, nonlinear bearing force, and road excitation are built, and a novel multibody dynamic model is proposed. Then, the novel model is verified and discussed with the results of experiment and classical models of integrated powertrain system and electric commercial vehicles. Further, the vibration response of the coupled system subject to multi-sources excitation concerning dynamic parameter is investigated. The mathematical model of multi-objective optimization for searching the optimized dynamic parameters of the coupled system is developed, the iterative processing is achieved by the Strength Pareto Evolutionary Algorithm 2, and the vibration response before and after the optimization is further compared. Results The results revealed that the dynamic response of integrated powertrain system will be greatly smaller if the road excitation is ignored, and the vehicle model without considering the integrated powertrain system will result in a smaller response than the actual or even missing, especially in the higher frequency range. Conclusion The dynamic parameters are responsible for the complex nonlinear effects between electric commercial vehicles and integrated powertrain system. Additionally, the vibration between the vehicle and powertrain system can be effectively suppressed by the developed optimization model.