Development of steering wheel angle sensor used for torque coordinating control of in-wheel motor driven electric vehicle

Author(s):  
Li Hao ◽  
Xu Yanliang ◽  
Zhang Yun ◽  
Li Yuandong
2020 ◽  
Vol 14 (1) ◽  
pp. 32-35
Author(s):  
Srđan Medić ◽  
Veljko Kondić ◽  
Tihomir Mihalić ◽  
Vedran Runje

The need for a simple, customised electric vehicle (EV) has inspired the research of the possibility to build a simple EV tailored for the specific needs of the buyer. This paper is focused on the concept of an EV with no conventional control mechanism. In this paper, a research of user needs, vehicle dynamics, vehicle aerodynamics, type of drive and batteries was carried out. EV aerodynamics characteristics were simulated by using the Computational Fluid Dynamics (CFD) software. The control system was designed in correlations with the maximal safe velocity and the radius of EV turning on a circular path. The stability of the EV, concerning the vehicle turning over and wheels slipping while driving in the curves, was the main concern of this paper. The steering wheel and brake pad were replaced with a control stick. Using the Finite Element Method (FEM) analysis, key parts of the construction were constructed.


2013 ◽  
Vol 431 ◽  
pp. 241-246
Author(s):  
Yi Chen ◽  
Jun Liu

The distributed drive electric vehicle was studied in this paper. According to the advantages of the controllable and accurate wheel speed and torque the ideal differential assisted characteristic curve was designed under different vehicle speed as well as a control strategy for differential power steering, a vehicle dynamics model based on CarSim/Simulink and simulation experiments were conducted. The experimental results indicated that on the premise to guarantee the road feeling, the control strategy for differential power steering decreased the steering wheel torque, angle and reduced driver's work-load , improved markedly the steering portability of the distributed drive electric vehicle.


2019 ◽  
Vol 8 (4) ◽  
pp. 11007-11010

Each human has the capability to make decisions and respond to situations completely on its own based on their intelligence level and experience. During driving, ability makes the driver alert and know what they need to do in a certain situation. This paper aims to investigate human behaviour while driving the electric vehicle at the desired path. The electric buggy car is used and set up with equipment and sensor as an Electric Vehicle (EV). Several sensors used to collect data and certain criteria subjects are selected with the purpose to study their driving pattern. The speed, steering wheel angle, heading, and position of the buggy car is collected throughout the human navigation experiments. The behaviour of the human while driving in the straight path, turn left and turn right will be collected at the end of experiments.


Author(s):  
Daigo UCHINO ◽  
Takamasa HIRAI ◽  
Shugo ARAI ◽  
Hideaki KATO ◽  
Takayoshi NARITA

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 526 ◽  
Author(s):  
Seong Woo ◽  
Young Park ◽  
Ju Lee ◽  
Chun Han ◽  
Sungdae Na ◽  
...  

In step with the development of Industry 4.0, research on automatic operation technology and components related to automobiles is continuously being conducted. In particular, the torque angle sensor (TAS) module of the steering wheel system is considered to be a core technology owing to its precise angle, torque sensing, and high-speed signal processing. In the case of conventional TAS modules, in addition to the complicated gear structure, there is an error in angle detection due to the backlash between the main and sub-gear. In this paper, we propose a multi-track encoder-based vehicle steering system, which is incorporated with a TAS module structure that minimizes the number of components and the angle detection error of the module compared with existing TAS modules. We also fabricated and tested an angle detection signal processing board and evaluated it on a test stand. As a result, we could confirm its excellent performance of an average deviation of 0.4° and applicability to actual vehicles by evaluating its electromagnetic interference (EMI) environmental reliability. The ultimate goal of the TAS module is to detect the target steering angle with minimal computation by the steering or main electronic control unit (ECU) to meet the needs of the rapidly growing vehicle technology. The verified angle detection module can be applied to an actual steering system in accordance with the mentioned technical requirements.


2014 ◽  
Vol 525 ◽  
pp. 337-341 ◽  
Author(s):  
Chuan Qi Zhu ◽  
Sen Wu ◽  
Yun Zhen Yang

The paper studies control strategy of electronic differential for four in-wheel motors independent drive vehicle. For the in-wheel motor independent drive electric vehicle, the differential speed relationship among the two wheels is analyzed according to the Ackermann&Jeantand steering mode, building the steering differential speed mode which adapt to bench test. When a vehicle drives on a straight line, the speed of each drive wheel is equal. While on a curve, the speed between the inner wheel and the outer one must be different in order to maintain vehicle stability and avoid vehicle skid. The all wheels must meet the requirement of angular speed. Based on Matlab/Simulink software , As a input, vehicle structure parameter, steering angular and so on, this model of differential speed was structured, drive wheel differential speed relationship at different steering wheel angles was determined .Finally, this electronic differential speed control for in-wheel motor drive electric vehicle is validated through PID control closed loops bench simulation test .


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