LPV Torque Vectoring for an Electric Vehicle with Experimental Validation

2014 ◽  
Vol 47 (3) ◽  
pp. 12010-12015 ◽  
Author(s):  
Gerd Kaiser ◽  
Qin Liu ◽  
Christian Hoffmann ◽  
Matthias Korte ◽  
Herbert Werner
2016 ◽  
pp. 619-624 ◽  
Author(s):  
E.N. Smith ◽  
E. Velenis ◽  
D. Cao ◽  
D. Tavernini

2018 ◽  
Vol 9 (4) ◽  
pp. 2703-2713 ◽  
Author(s):  
Jia Ying Yong ◽  
Vigna K. Ramachandaramurthy ◽  
Kang Miao Tan ◽  
Jeyraj Selvaraj

Energies ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 8143
Author(s):  
Junnian Wang ◽  
Siwen Lv ◽  
Nana Sun ◽  
Shoulin Gao ◽  
Wen Sun ◽  
...  

The anxiety of driving range and inconvenience of battery recharging has placed high requirements on the energy efficiency of electric vehicles. To reduce driving-wheel slip energy consumption while cornering, a torque vectoring control strategy for a rear-wheel independent-drive (RWID) electric vehicle is proposed. First, the longitudinal linear stiffness of each driving wheel is estimated by using the approach of recursive least squares. Then, an initial differential torque is calculated for reducing their overall tire slippage energy dissipation. However, before the differential torque is applied to the two side of driving wheels, an acceleration slip regulation (ASR) is introduced into the overall control strategy to avoid entering into the tire adhesion saturation region resulting in excessive slip. Finally, the simulations of typical manoeuvring conditions are performed to verify the veracity of the estimated tire longitudinal linear stiffness and effectiveness of the torque vectoring control strategy. As a result, the proposed torque vectoring control leads to the largest reduction of around 17% slip power consumption for the situations carried out above.


Electric vehicle (EV) are being embraced in recent times as they run on clean fuel, zero tail emission and are environment-friendly. Recent advancements in the field of power electronics and control strategies have made it possible to the advent in the vehicle dynamics, efficiency and range. This paper presents a design for traction control system (TCS) for longitudinal stability and Direct Yaw Control (DYC) for lateral stability simultaneous. The TCS and DYC is based on multiple frequency controlled electronic differential with a simple and effective approach. Along with it, some overviews have been presented on some state of the art in traction control system (TCS) and torque vectoring. The developed technique reduces nonlinearity, multisensory interfacing complexity and response time of the system. This torque and yaw correction strategy can be implemented alongside fuzzy control, sliding mode or neural network based controller. The effectiveness of the control method has been validated using a lightweight neighbourhood electric vehicle as a test platform. The acquired results confirm the versatility of proposed design and can be implemented in any DC motor based TCS/DYC.


2018 ◽  
Vol 10 (2) ◽  
pp. 168781401876002
Author(s):  
Jie Yu ◽  
Ligang Yao ◽  
Chengcheng Ren ◽  
Xiaolei Yan ◽  
Li Lin

Author(s):  
Benedict Jager ◽  
Peter Neugebauer ◽  
Reiner Kriesten ◽  
Nejila Parspour ◽  
Christian Gutenkunst

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