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

scholarly journals Symbolic Math-Based Battery Modeling for Electric Vehicle Simulation

2010 ◽  
Author(s):  
Aden N. Seaman ◽  
John McPhee
Keyword(s):  
Differential Equations ◽  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Battery Electric Vehicle ◽  
Tight Coupling ◽  
Drive Cycle ◽  
Battery Modeling ◽  
Vehicle Simulation ◽  
Battery Model ◽  
System Components

We present results of a math-based model of a battery electric vehicle (BEV) designed in MapleSim. This model has the benefits of being described in a physically consistent way using acausal system components. We used a battery model by Chen and Rinc´on-Mora to develop a math-based model of a complete battery pack, and developed simple power controller, motor/generator, terrain, and drive-cycle models to test the vehicle under various conditions. The resulting differential equations are simplified symbolically and then simulated numerically to give results that are physically consistent and clearly show the tight coupling between the battery and longitudinal vehicle dynamics.

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