Research on Integrated Chassis Control Strategy for Four-Wheel Independent Control Electric Vehicle

Author(s):  
Guoying Chen ◽  
Dong Zhang
2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Bing Zhu ◽  
Yizhou Chen ◽  
Jian Zhao ◽  
Yunfu Su

An integrated vehicle chassis control strategy with driver behavior identification is introduced in this paper. In order to identify the different types of driver behavior characteristics, a driver behavior signals acquisition system was established using the dSPACE real-time simulation platform, and the driver inputs of 30 test drivers were collected under the double lane change test condition. Then, driver behavior characteristics were analyzed and identified based on the preview optimal curvature model through genetic algorithm and neural network method. Using it as a base, an integrated chassis control strategy with active front steering (AFS) and direct yaw moment control (DYC) considering driver characteristics was established by model predictive control (MPC) method. Finally, simulations were carried out to verify the control strategy by CarSim and MATLAB/Simulink. The results show that the proposed method enables the control system to adjust its parameters according to the driver behavior identification results and the vehicle handling and stability performance are significantly improved.


Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2885
Author(s):  
Pai-Chen Chien ◽  
Chih-Keng Chen

This study investigates a control strategy for torque vectoring (TV) and active rear wheel steering (RWS) using feedforward and feedback control schemes for different circumstances. A comprehensive vehicle and combined slip tire model are used to determine the secondary effect and to generate desired yaw acceleration and side slip angle rate. A model-based feedforward controller is designed to improve handling but not to track an ideal response. A feedback controller based on close loop observation is used to ensure its cornering stability. The fusion of two controllers is used to stabilize a vehicle’s lateral motion. To increase lateral performance, an optimization-based control allocation distributes the wheel torques according to the remaining tire force potential. The simulation results show that a vehicle with the proposed controller exhibits more responsive lateral dynamic behavior and greater maximum lateral acceleration. The cornering safety is also demonstrated using a standard stability test. The driving performance and stability are improved simultaneously by the proposed control strategy and the optimal control allocation scheme.


2014 ◽  
Vol 543-547 ◽  
pp. 278-281
Author(s):  
Jian Wu ◽  
Hong Tao Bai ◽  
Wei Wen Deng ◽  
Chuan Fu Liu

This paper describes the development of a full electric vehicle prototype with a new generation of drive-by-wire chassis, which consists of a four independently actuated in-wheel-motor drive system, an electric power steering (EPS) system, an electro-hydraulic brake (EHB) system and a lithium battery energy storage system. This novel electric vehicle called I2EV (I2 stands for Intelligent and In-wheel-motor) is designed and tested on a chassis dynamometer to study its performance. Then the road performance of the vehicle is verified through road experiments. These tests clearly show that I2EVcan be employed in further study of intelligent vehicle and advanced integrated chassis control.


Author(s):  
Victor Mazzilli ◽  
Stefano De Pinto ◽  
Leonardo Pascali ◽  
Michele Contrino ◽  
Francesco Bottiglione ◽  
...  

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