Abstract
The brake system plays an important role in vehicles. As the X-by-wire technology develops, Electro-Mechanical Braking system (EMB) can realize individual control of braking force on each wheel; which makes it very suitable for electric vehicles. This paper aims to investigate the clamping force control method for EMB actuator without force sensor. The existing control methods are first analyzed. The modified clamping force control architecture is then proposed. In this paper, the Direct-Torque-Control technology (DTC) is applied for the precise torque control of a permanent magnet motor. In the sensor-less clamping force estimation section, an experiment-based approach is proposed. To verify the performance of the braking force control system, an EMB test-rig is established. Experimental results indicate that the clamping force of EMB actuator is well controlled under the proposed method, and the potential of EMB system for automobile application is also proved.
| Original language | English |
|---|---|
| Title of host publication | 2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 764-769 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509067572 |
| DOIs | |
| Publication status | Published - 23 Aug 2017 |
| Event | 14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 - Takamatsu, Japan Duration: 6 Aug 2017 → 9 Aug 2017 |
Publication series
| Name | 2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017 |
|---|
Conference
| Conference | 14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 |
|---|---|
| Country/Territory | Japan |
| City | Takamatsu |
| Period | 6/08/17 → 9/08/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Free Keywords
- Brake-by-wire
- Braking force control
- Electro-mechanical braking system
ASJC Scopus subject areas
- Artificial Intelligence
- Industrial and Manufacturing Engineering
- Mechanical Engineering
- Control and Optimization
- Instrumentation
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