Design of Yaw Stability Control System for Electric Vehicle Driven by Hub Motor

2019 ◽  
Vol 11 (5) ◽  
Author(s):  
Dongliang Wang
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Weather Condition ◽  
Stability Control ◽  
System Response ◽  
Motor Speed ◽  
Control Module ◽  
Yaw Stability ◽  
Stability Control System ◽  
Control Accuracy

In extreme weather condition, the electric vehicle yaw stability control accuracy is low. A new yaw stability control system for electric vehicle driven by hub motor is designed to simplify the hardware system design and improve the system response speed. The driving control module is used to analyse the driving state parameters of the vehicle and calculate the four-wheel moment to control the yaw stability of the vehicle, which is transmitted to the battery control module. The UDU in the control module adjusts the motor speed and power output in real time according to the vehicle power demand after analyzing the vehicle driving state data. In the software part of the system, the vehicle dynamic model is built and yaw stability control strategy is used to complete the vehicle yaw stability control. The experimental results show three important parameters of the designed system for evaluating the manoeuvrability tend to ideal values under the control of the system, in which yaw angular velocity is controlled from 0.277 rads to 0.286 rads and the difference between them is 0.002 and 0.011. The yaw stability control accuracy is also high.

scholarly journals Vehicle Stability Control Strategy Based on Recognition of Driver Turning Intention for Dual-Motor Drive Electric Vehicle

2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Shu Wang ◽  
Xuan Zhao ◽  
Qiang Yu
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Stability Control ◽  
Motor Drive ◽  
Vehicle Stability ◽  
Lane Change ◽  
Vehicle Stability Control ◽  
Stability Control System ◽  
The Stability

Vehicle stability control should accurately interpret the driving intention and ensure that the actual state of the vehicle is as consistent as possible with the desired state. This paper proposes a vehicle stability control strategy, which is based on recognition of the driver’s turning intention, for a dual-motor drive electric vehicle. A hybrid model consisting of Gaussian mixture hidden Markov (GHMM) and Generalized Growing and Pruning RBF (GGAP-RBF) neural network is constructed to recognize the driver turning intention in real time. The turning urgency coefficient, which is computed on the basis of the recognition results, is used to establish a modified reference model for vehicle stability control. Then, the upper controller of the vehicle stability control system is constructed using the linear model predictive control theory. The minimum of the quadratic sum of the working load rate of the vehicle tire is taken as the optimization objective. The tire-road adhesion condition, performance of the motor and braking system, and state of the motor are taken as constraints. In addition, a lower controller is established for the vehicle stability control system, with the task of optimizing the allocation of additional yaw moment. Finally, vehicle tests were carried out by conducting double-lane change and single-lane change experiments on a platform for dual-motor drive electric vehicles by using the virtual controller of the A&D5435 hardware. The results show that the stability control system functions appropriately using this control strategy and effectively improves the stability of the vehicle.

A Review on Integrated Active Steering and Braking Control for Vehicle Yaw Stability System

2014 ◽  
Vol 71 (2) ◽  
Author(s):  
M.K. Aripin ◽  
Y. M. Sam ◽  
A. D. Kumeresan ◽  
M.F. Ismail ◽  
Peng Kemao
Keyword(s):  
Control System ◽  
Tracking Control ◽  
Sliding Mode ◽  
Stability Control ◽  
Yaw Rate ◽  
Active Steering ◽  
Yaw Stability ◽  
Stability Control System ◽  
Review Study ◽  
Braking Control

A review study on integrated active steering and braking control for vehicle yaw stability system is conducted and its finding is discussed in this paper. For road-vehicle dynamic, lateral dynamic control is important in order to determine the vehicle stability. The aw stability control system is the prominent approach for vehicle lateral dynamics where the actual yaw rate and sideslip should be tracked by the controller close to the desired response. To improve the performance of yaw stability control during steady state and critical driving conditions, a current approach using active control of integrated steering and braking could be implemented. This review study discusses the vehicle models, control objectives, control problems and propose control strategies for vehicle yaw stability control system. In the view of control system engineering, the transient performances of tracking control are essential. Based on the review, this paper discusses a basic concept of control strategy based on the composite nonlinear feedback (CNF) and sliding mode control (SMC) whichcan be proposed for integrated active steering and braking control in order to improve the transient performances of the yaw rate and sideslip tracking control in the presence of uncertainties and disturbances.

An Advanced Yaw Stability Control System

2017 ◽  
Author(s):  
Jianbo Lu ◽  
Li Xu ◽  
Daniel Eisele ◽  
Stephen Samuel ◽  
Matthew Rupp ◽  
...  
Keyword(s):  
Control System ◽  
Stability Control ◽  
Yaw Stability ◽  
Stability Control System
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