scholarly journals Front and Rear Driving Force Distribution Method for Retaining Driving Force on Instantaneous Slippery Roads for Electric Vehicle with In-Wheel Motors

2012 ◽  
Vol 78 (794) ◽  
pp. 3383-3392 ◽  
Author(s):  
Kenta MAEDA ◽  
Hiroshi FUJIMOTO ◽  
Yoichi HORI
2021 ◽  
Vol 11 (3) ◽  
pp. 961
Author(s):  
Hui Zhang ◽  
Huawei Liang ◽  
Xiang Tao ◽  
Yi Ding ◽  
Biao Yu ◽  
...  

In this paper, a hierarchical driving force distribution and control strategy for a six-wheel drive (6WD) skid-steering electric unmanned ground vehicle (EUGV) with independent drive motors is presented to improve the vehicle maneuverability and stability. The proposed hierarchical strategy is based on a nine-degrees-of-freedom (DOFs) dynamics model of 6WD skid-steering EUGV with a vehicle system dynamics model, wheel dynamics model, and tire model. In the proposed hierarchical strategy, the upper layer controller calculates the resultant driving force and yaw moment to control the vehicle motion states to track the desired ones by using the integral sliding mode control (ISMC) and proportion–integral–differential (PID) control methods. In the lower layer controllers, the driving force distribution method is adopted to allocate torques to the six motors. An objective function is proposed and composed of the longitudinal tire workload rates and weighting factors, considering the inequality constraints and equality constraints, which is solved by using the active set method. In order to evaluate the effectiveness of the proposed method, experiments with two types of scenarios were conducted. Comparative studies were also conducted with the other two methods used in the literature. The experimental results show that better performance can be achieved with the proposed control strategy in vehicle maneuverability and stability.


2021 ◽  
Vol 248 ◽  
pp. 02041
Author(s):  
Liao Zili ◽  
Shu Xin ◽  
Cai Lichun ◽  
Zhang Linyun

In order to solve the steering stability problem of a special four-wheel independent electric vehicle, a dynamic model of the vehicle was established to analyze the cause of vehicle instability. A steering stability controller was designed, which included the upper yaw moment controller and the lower driving force distribution controller. Based on the sliding mode control algorithm, the yaw moment controller determines the yaw moment required while the vehicle is moving by controlling the yaw rate and sideslip angle. Based on the safety distribution method, the driving force distribution controller selects the sum of tire utilization rate as the optimization function to realize the optimal distribution of yaw moment. Software of MATLAB/Simulink and CarSim were used to build a co-simulation platform, and the designed steering stability controller was analyzed and verified. The simulation results show that the steering stability controller is helpful to improve the steering ability and handling stability of the vehicle in the extreme working conditions.


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