Electric vehicle dynamics control during electrical system faults

2016 ◽  
Vol 2 (2) ◽  
pp. 119
Author(s):  
Martin Ringdorfer ◽  
Martin Horn
Keyword(s):  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Electrical System ◽  
Vehicle Dynamics Control

Mechatronic Design of an Integrated Vehicle Dynamics Control for an Energetic Optimized Battery Electric Vehicle

2014 ◽  
Vol 214 ◽  
pp. 94-105
Author(s):  
Robert Buchta ◽  
Xiao Bo Liu-Henke
Keyword(s):  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Design Approach ◽  
Battery Electric Vehicle ◽  
Hardware In The Loop ◽  
Functional Design ◽  
Holistic Model ◽  
Mechatronic Design ◽  
The University ◽  
Vehicle Dynamics Control

Focus of this contribution is the constructive and functional design of an entire energetic optimized battery electric vehicle. This vehicle called M(echatronic)-Mobile was designed at the university Ostfalia using a holistic model based design approach in a continuous verification-orientated process from Model-in-the-Loop (MiL) over Software-in-the-Loop (SiL) to Hardware-in-the-Loop (HiL).

scholarly journals Design of a Novel Nonlinear Observer to Estimate Sideslip Angle and Tire Forces for Distributed Electric Vehicle

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Chuanxue Song ◽  
Feng Xiao ◽  
Shixin Song ◽  
Shaokun Li ◽  
Jianhua Li
Keyword(s):  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Unscented Kalman Filter ◽  
Lateral Force ◽  
Nonlinear Observer ◽  
Accurate Estimation ◽  
State Variables ◽  
Force Estimation ◽  
Sideslip Angle ◽  
Vehicle Dynamics Control

For four-wheel independently driven (4WD) distributed electric vehicle (DEV), vehicle dynamics control systems such as direct yaw moment control (DYC) can be easily achieved. Accurate estimation of vehicle state variables and uncertain parameters can improve the robustness of vehicle dynamics control system. Various sensors are generally equipped to the acquisition of the vehicle dynamics. For both technical and economic reasons, some fundamental vehicle parameters, such as the sideslip angle and tire-road forces, can hardly be obtained through sensors directly. Therefore, this paper presented a state observer to estimate these variables based on Unscented Kalman Filter (UKF). To improve the accuracy of UKF, measurement noise covariance is also self-adaptive regulated. In addition, a nonlinear dynamics tire model is utilized to improve the accuracy of tire lateral force estimation. The simulation and experiment results show that the proposed observer can provide the precision values of the vehicle state.

An Advanced Electric Vehicle for Development and Test of New Vehicle-Dynamics Control Strategies

2010 ◽  
Vol 43 (7) ◽  
pp. 152-161 ◽  
Author(s):  
Dipl.-Ing. Peter Reinold ◽  
Dipl-Ing. Vitalij Nachtigal ◽  
Prof. Dr.-Ing. habil. Ansgar Traechtler
Keyword(s):  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Control Strategies ◽  
Vehicle Dynamics Control

Direct Longitudinal Force Feedback for High-Performance Vehicle Dynamics Control Systems

2021 ◽  
Author(s):  
Giorgio Riva ◽  
Luca Mozzarelli ◽  
Matteo Corno ◽  
Simone Formentin ◽  
Sergio M. Savaresi
Keyword(s):  
Model Predictive Control ◽  
Control Systems ◽  
Predictive Control ◽  
Vehicle Dynamics ◽  
High Performance ◽  
Force Feedback ◽  
Longitudinal Force ◽  
Spiral Path ◽  
Comparable Performance ◽  
Vehicle Dynamics Control

Abstract State of the art vehicle dynamics control systems do not exploit tire road forces information, even though the vehicle behaviour is ultimately determined by the tire road interaction. Recent technological improvements allow to accurately measure and estimate these variables, making it possible to introduce such knowledge inside a control system. In this paper, a vehicle dynamics control architecture based on a direct longitudinal tire force feedback is proposed. The scheme is made by a nested architecture composed by an outer Model Predictive Control algorithm, written in spatial coordinates, and an inner longitudinal force feedback controller. The latter is composed by four classical Proportional-Integral controllers in anti-windup configuration, endowed with a suitably designed gain switching logic to cope with possible unfeasible references provided by the outer loop, avoiding instability. The proposed scheme is tested in simulation in a challenging scenario where the tracking of a spiral path on a slippery surface and the timing performance are handled simultaneously by the controller. The performance is compared with that of an inner slip-based controller, sharing the same outer Model Predictive Control loop. The results show comparable performance in presence of unfeasible force references, while higher robustness is achieved with respect to friction curve uncertainties.

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