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| Content Provider | IET Digital Library |
|---|---|
| Author | Yang, Ying Liang, Yingjing Xu, Guoqing Zhang, Jieming |
| Abstract | It is hard for traction control to ensure the stability of vehicles because of the non-linearity, uncertainty and parameters variation of vehicle dynamics. A novel traction control model is presented in this study to obtain the optimal traction performance by taking the advantage of fast torque response of electric vehicles (EVs) and dealing with driver operation properly. A new judgement unit is designed to combine the optimal slip ratio controller with driver operation, and the driver's input is kept when the slip ratio exceeds the reference value. Further, an engineering design method of the slip ratio controller is researched in terms of speed range and different work conditions. Two sets of controller parameters are designed since the vehicle time constant varies with wheel speed. The possibility of taking fix controller parameters value in one speed range is analysed and verified. Moreover, the stability of system and the influence of sampling frequency on system are analysed. Finally, the validity of the proposed control methodology is fully verified with simulation and experiments on the tire–road simulation test bench which adopts the asynchronous motor mechanical properties to simulate tire–road characteristics. |
| Starting Page | 9006 |
| Ending Page | 9012 |
| Page Count | 7 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9168 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Control Methodology Control of Electric Power System Control System Analysis Control System Synthesis Control Technology And Theory Different Work Condition Driver Operation Electric Vehicle Engineering Design Method Fast Torque Response Fix Controller Parameter Value Judgement Unit Mechanical Component Mechanical Variables Control Nonlinearity Novel Traction Control Model Optimal Control Optimal Slip Ratio Controller Optimal Traction Performance Parameter Variation Reference Value Road Traffic System Control Road Vehicle Single Wheel Dynamics Speed Range Stability Synthesis Method Torque Control Traction Transportation Tyres Uncertainty Vehicle Dynamics Vehicle Mechanics Vehicle Time Constant Varies Wheel Speed Wheels |
| Content Type | Text |
| Resource Type | Article |
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