location:Home > 2021 Vol.4 Mar.No.1 > The Design of Safety Control System of Automobile Auxiliary Braking Device Based on ESP and ABS

2021 Vol.4 Mar.No.1

  • Title: The Design of Safety Control System of Automobile Auxiliary Braking Device Based on ESP and ABS
  • Name: Jerry Chun-Wei Lin
  • Company: Department of Computer Science, Electrical Engineering and Mathematical Sciences
  • Abstract:

     When ESP and ABS work at the same time, there will be coupling conflict, which reduces the stability and safety of the car. For this reason, a safety control system of automobile auxiliary braking device is designed. ESP and ABS are coordinated to solve the coupling conflict between them. The system design is divided into four parts. Firstly, the middle control layer is the core, and the ESP layer and ABS layer are connected through CAN bus to realize the construction of the overall framework of the system. Secondly, the hardware of the system is designed, including the main controller and the related components of CAN bus. Secondly, the system software is designed, that is, the coordinated control strategy of ESP and ABS. Finally, the system is realized and tested. The results show that: the system adopts the designed In the system, the yaw rate is much better than that without control, ABS control and ESP control, and the vehicle trajectory is closer to the expected trajectory, which proves that the system has fully played the role of safety control.

     

  • Keyword: ESP; ABS; automobile; auxiliary braking device; safety control; system design; Coupling collision; Vehicle trajectory;
  • DOI: 10.12250/jpciams2021090116
  • Citation form: Jerry Chun-Wei Lin.The Design of Safety Control System of Automobile Auxiliary Braking Device Based on ESP and ABS[J]. Computer Informatization and Mechanical System,2021,Vol.4,pp.7-11
Reference:

[1] Chen Yawei, Shao Yiming, Hu Haibo, et al. Automatic Lane Keeping Control Based on Safety Barrier Monitoring [J].  Automotive Engineering, 2019,41 (7): 771-778.

[2] Hou Shaoyang, Zhang Xiangwen, Li Xiaohui. Remote monitoring system based on GPRS/GPS for the electric vehicle power batteryc [J]. Chinese Journal of Power Sources, 2018, 42 (6): 882-885

[3] Liu Shuwei, Guo Lixin, Hao Liang. Research on the control system of the vehicle vacuum auxiliary braking system [J]. Chinese Journal of Construction Machinery, 2019,17 (1): 61-66

[4] Feng Yong, Wei Yuyong, Wu Jun, et al. Simulation of Composite Braking for Electric Car Based Fuzzy Logic [J].  Bulletin of Science and Technology, 2018,34 (5): 231-235

[5] Chen Zong, Chen Qingzhang, Wang Zhengyi, et al. Study on Hybrid Anti-lock Braking System in Electric Vehicle [J]. Mechanical Science and Technology for Aerospace Engineering, 2018,37 (7): 1089-1095.

[6] Chang xueyang, Xu Qing, Li Keqiang, et al. Analysis of Intelligent and Connected Vehicle Control Under Communication Delay and Packet Loss [J]. China highway journal, 2019, 32 (6): 216-225.

[7] Zheng Weimin, Ren Hongtao, Deng Qing, et al. A joint planning model for the charging facilities of electric vehicles and the distribution network concerned with a guided interactive charging strategy [J]. Journal of Electric Power Science and Technology, 2019,34 (3): 24-36

[8] Li Haiqing, Zhao Youqun,  Lin Fen, et al. Research on high speed path tracking and rollover control for obstacle avoidance under emergency of vehicle  [J]. Journal of Harbin Institute of Technology, 2019, 51 (7): 135-143.

[9] Li Yayong, Cai Yingfeng, Chen long, et al. ACC Method Considering Driving State of Front and Rear Vehicles [J]. Automotive Engineering, 2019,41 (8): 865-871.

[10] Chen Song, Xia Changgao, Li Shengyong, et al. Study on the control of yaw and roll stability of the vehicle [J]. Journal of Machine Design, 2018, 35 (6): 97-104.

[11] Chen Hong, Guo Yangyang, Liu Jun, et al. Design of human-vehicle torque collaborative steering controller based on driving state prediction [J].                Control and Decision, 2019, 34 (11) 2390-2396.

[12] Hu Yun, Jiang Fanchao, Chen Rui, et al. Active Fault-Tolerant Control Based on MFAC for 4WID EV Driving System [J]. Automotive Engineering, 2019,41 (9): 983-989.

[13] Zhu Zhengze, Zhou Haiying, Fu Yongzhi, et al. Cooperative Control Technology of Networked Autonomous Driving Vehicle Based on Delay Compensation [J]. Journal of System Simulation, 2019,31 (7): 1448-1459.

[14] Zhang Jianfu, Yuan Ling, pan Lei, et al. Research on the test platform of hydraulic brake system for wind turbine [J]. Renewable Energy Resources, 2019, 37 (3): 115-119.

[15] Zhu Bing, Zhang Peixing, Wang Zhen, et al. Modeling and Control of Active Pneumatic Braking System for Tractor-Semitrailer Combination [J]. Automotive Engineering, 2019,41 (9): 1050-1055

 

 

Tsuruta Institute of Medical Information Technology
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