scholarly journals Lateral Stability Control of Four-Wheel-Drive Electric Vehicle Based on Coordinated Control of Torque Distribution and ESP Differential Braking

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 135
Author(s):  
Liqing Chen ◽  
Zhiqiang Li ◽  
Juanjuan Yang ◽  
Yu Song

This research focuses on four-wheel-drive electric vehicles. On the basis of the hierarchical coordinated control strategy, the coordinated control system of driving force distribution regulation and differential braking regulation was designed to increase the electric vehicles steering stability under special road working conditions. A seven-degree-of-freedom model of an electric vehicle was established in MATLAB/Simulink, and then a hierarchical coordination control model of the Electronic stability program and dynamic torque distribution control system was established. Adaptive fuzzy control was applied to ESP and, based on the neural network PID control, a torque distribution control system was designed. On the basis of the proposed coordinated control model, a performance simulation and a hardware-in-the-loop test of the control system under the typical working condition of single line shift were carried out. From the final results, it can be seen that the proposed control strategy can greatly improve the safety of the vehicle after serious side slip, increase the stability of the whole vehicle, and effectively increase the vehicle lateral stability.

2011 ◽  
Vol 230-232 ◽  
pp. 1242-1249
Author(s):  
Jian Jun Hu ◽  
Zheng Bin He ◽  
Peng Ge ◽  
Da Tong Qin

In order to improve the performance of four wheel driver vehicle, structural characteristics of inter-axle torque distribution with planetary gear are analyzed, and a dynamic model of four wheel drive vehicle is established. A synthetic control strategy was proposed to achieve the engine throttle control, inter-axle torque distribution control and drive wheel brake control. Traction control system based on fuzzy logic control is designed. The simulation of traction control on split-µ road and low-µ road are carried out. The results show that, the traction control system for four wheel drive vehicle based on fuzzy control can prevent excessive slip of driving wheels, and vehicle traction property and dynamic performance are improved obviously.


2015 ◽  
Vol 53 (8) ◽  
pp. 1172-1189 ◽  
Author(s):  
Bin Li ◽  
Avesta Goodarzi ◽  
Amir Khajepour ◽  
Shih-ken Chen ◽  
Baktiar Litkouhi

2012 ◽  
Vol 476-478 ◽  
pp. 944-948 ◽  
Author(s):  
Xiao Long Liu ◽  
Shao Peng Zhu ◽  
Zhi Jun Wu

This paper constructs a dynamic model of a four-wheel drive electric vehicle, which contains a vehicle model and a brushless DC motor model. In order to improve the starting and acceleration performance of the electric vehicle, we design a speed and current double closed-loop speed control system based on the constructed dynamic electric vehicle model. The starting and acceleration process of the electric vehicle is simulated and analyzed by CarSim-Matlab/Simulink co-simulation. The effectiveness of the speed control system is evaluated by the co-simulation results. In addition, the robustness of the speed control system is also analyzed for different vehicle masses.


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