A Robust Stability Control System for a Hybrid Electric Vehicle Equipped with Electric Rear Axle Drive

2016 ◽  
Vol 9 (2) ◽  
pp. 924-934 ◽  
Author(s):  
Jose Velazquez Alcantar ◽  
Farhad Assadian
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Robust Stability ◽  
Hybrid Electric Vehicle ◽  
Rear Axle ◽  
Stability Control ◽  
Stability Control System ◽  
Hybrid Electric

Optimal Longitudinal Slip Ratio Allocation and Control of a Hybrid Electric Vehicle With eAWD Capabilities

2016 ◽  
Author(s):  
Jose Velazquez Alcantar ◽  
Francis Assadian ◽  
Ming Kuang ◽  
Eric Tseng
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Optimization Algorithm ◽  
Hybrid Electric Vehicle ◽  
Rear Axle ◽  
Surface Condition ◽  
Road Surface ◽  
Slip Ratio ◽  
Hybrid Electric ◽  
Longitudinal Slip

This paper introduces a Hybrid Electric Vehicle (HEV) with eAWD capabilities via the use of a traditional Series-Parallel hybrid transaxle at the front axle and an electric Rear Axle Drive (eRAD) unit at the rear axle. Such a vehicle requires proper wheel torque allocation to the front and rear axles in order to meet the driver demands. A model of the drivetrain is developed using Bond Graphs and is used in co-simulation with a vehicle model from the CarSim software suite for validation purposes. A longitudinal slip ratio control architecture is proposed which allocates slip ratio to the front and real axles via a simple optimization algorithm. The Youla parametrization technique is used to develop robust controllers to track the optimal slip targets generated by the slip ratio optimization algorithm. The proposed control system offers a unified approach to longitudinal vehicle control under both traction and braking events under any road surface condition. It is shown in simulation that the proposed control system can properly allocate slip ratio to the front and rear axles such that tires remain below their force saturation limits while vehicle acceleration/braking is maximized while on a low friction road surface.

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.

Development of a Clutch Control System for a Hybrid Electric Vehicle with One Motor and Two Clutches

2011 ◽  
Vol 44 (1) ◽  
pp. 4797-4802 ◽  
Author(s):  
Kazutaka Adachi ◽  
Hiroyuki Ashizawa ◽  
Sachiyo Nomura ◽  
Yoshimasa Ochi
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Hybrid Electric ◽  
Clutch Control

3305 Proposal of emergent hybrid electric vehicle control system for time-axis variation of driving state

2012 ◽  
Vol 2012.22 (0) ◽  
pp. _3305-1_-_3305-8_
Author(s):  
Taku YAMAZAKI ◽  
Satoru FURUGORI ◽  
Yasuhide KURODA ◽  
Takamasa SUETOMI ◽  
Takahide NOUZAWA ◽  
...  
Keyword(s):  
Control System ◽  
Electric Vehicle ◽  
Hybrid Electric Vehicle ◽  
Vehicle Control ◽  
Time Axis ◽  
Hybrid Electric
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