Torque Distribution Optimization Strategy for Independently Driven Trams with Front and Rear Axles

Fengjie Yao

doi:10.54097/0gpqv403

Authors

Fengjie Yao

DOI:

https://doi.org/10.54097/0gpqv403

Keywords:

Electric vehicles; front- and rear-axle independently-driven; Torque distribution; surge; Optimization of energy consumption.

Abstract

Electric vehicles have become an emerging research field due to their energy-saving and low-pollution advantages, among which, front- and rear-axle independently-driven vehicles have become the mainstream direction in the future due to their outstanding advantages. The study introduces a comprehensive optimization approach for torque distribution aimed at reducing the total energy usage of electric vehicles driven independently by both front and rear axles, addressing issues like wheezing. At first, the behavior model during the electric vehicle's steering state is established based on the PID algorithm and particle swarm optimization algorithm. Subsequently, the study examines the vehicle's energy usage and steadiness, developing a comprehensive strategy for torque distribution aimed at reducing the motor's energy consumption and improving the vehicle's stability. Finally, the optimization results are compared and analyzed by combining the references and the examples of the ideal state, and the study reveals that the optimization technique suggested in this document yields superior control outcomes. Findings indicate that the torque distribution optimization approach introduced in this study enhances hysteresis., operational stability, torque distribution control performance, and driving safety under the steering condition of electric vehicles.

Downloads

Download data is not yet available.

References

[1] Yan Chunhui. Research on torque distribution and control of distributed-drive electric vehicles under different operating conditions [D]. Hefei University of Technology, 2020.

[2] Wang Junnian, Yu Tianyu, Sun Nana, et al. Torque distribution control for improving cornering efficiency of rear-wheel independent drive vehicles[J]. Journal of Hunan University (Natural Science Edition) Chinese Edition, 2021, 47(12): 9-17.

[3] Guo Lie, Ge Pingshu, Xu Linna, et al. Stability control of distributed electric vehicles under steering conditions[J]. Journal of South China University of Technology (Natural Science Edition), 2020, 48(3): 100-107.

[4] Sugita M. Torque distribution algorithm for effective use of reaction wheel torques and angular momentums[J]. Acta Astronautica, 2017, 139: 18-23.

[5] Liu Z, Chang G, Jiang S, et al. Adaptive Anti-Surge Control Strategy for PEM Fuel Cell Vehicle with Online Surge Detection[J]. IEEE Transactions on Transportation Electrification, 2023.

[6] Chen S, Zuo S, Wei K. Experimental and numerical investigations on the acoustic characteristics and unsteady behaviors of a centrifugal compressor for fuel cell vehicles[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2021, 235(8): 1344-1356.

[7] Mutoh N, Kanesaki M. A suitable method for ecovehicles to control surge voltage occurring at motor terminals connected to PWM inverters and to control induced EMI noise[J]. IEEE transactions on vehicular technology, 2008, 57(4): 2089-2098.

[8] Jiang Tao, Geng Cong, Xue Qicheng, et al. Torque allocation strategy for front- and rear-axle independently driven electric vehicles based on energy consumption optimization[J]. Journal of Beijing Jiaotong University, 2019, 43(5): 102.

[9] Yin Andong, Wang Wei. Research on torque distribution control strategy of PHEV based on MPC[J]. Journal of Hefei University of Technology (Natural Science Edition), 2021.

[10] Qiu Xing, Wang Qunjing, Chen Long, et al. Optimization strategy of torque distribution for front- and rear-axle dual-motor electric vehicles[J]. Journal of Electrical Machines and Control, 2020, 24(3): 62-70.

[11] Hu J, Tao J, et al. An optimal torque distribution control strategy for four-wheel independent drive electric vehicles considering energy economy[J]. IEEE Access, 2019, 7: 141826-141837.

[12] Chang C, Zhao X, Xu C, et al. Analysis and design of a separate sampling adaptive PID algorithm for digital DC-DC converters[J]. Journal of Power Electronics, 2016, 16(6): 2212-2220.

[13] Tian Yinkang. Research on torque distribution control strategy of distributed drive pure electric bus [D]. Chang'an University, 2023.

[14] LI Junwei, Song Zhenbin, Sun Binbin, et al. Development of control system for electric vehicle with dual-motor and dual-axis drive[J]. Mechanical Design and Manufacturing,2021(07):86-88+93.

[15] Yang Yajuan, Zhao Han, Jiang Jianman, et al. Research on torque allocation of hybrid hybrid drive system based on efficiency optimization[J]. China Mechanical Engineering,2013,24(17):2408-2413.

[16] Idir A, Berrabah F, Laurent C. A Comparative Study between Fractionalized and Fractional Order PID Controllers for Control of a Stable System Based on Particle Swarm Optimization Algorithm[J]. Przeglad Elektrotechniczny, 2023, 2023(12).

[17] Park J H, Choi Y K. Formation Control of Mobile Robots using Adaptive PID Controller[J]. Journal of the Korea Institute of Information and Communication Engineering, 2015, 19(11): 2554-2561.

[18] Zhao Minghui,Guo Haoran,Zhang Lipeng,et al. Driving stability control of four-wheel independent steering distributed drive electric vehicle with single-wheel steering failure[J/OL]. Journal of Mechanical Engineering:1-16[2024-07-02].

[19] Tang Y, Tao L, Li Y, et al. Estimation of tire side-slip angles based on the frequency domain lateral acceleration characteristics inside tires[J]. Machines, 2024, 12(4): 229.