Control strategy for AEB in target traversing based on PreScan

ZHANG Bingli; ZUO Yunjie; WANG Yixin; HUANG Zhonghan; LI Ren; CAO Lisong

doi:10.12299/jsues.25-0136

Volume 39 Issue 4

Dec. 2025

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Article Navigation > Journal of Shanghai University of Engineering Science > 2025 > 39(4): 389-395

ZHANG Bingli, ZUO Yunjie, WANG Yixin, HUANG Zhonghan, LI Ren, CAO Lisong. Control strategy for AEB in target traversing based on PreScan[J]. Journal of Shanghai University of Engineering Science, 2025, 39(4): 389-395. doi: 10.12299/jsues.25-0136

Citation:

ZHANG Bingli, ZUO Yunjie, WANG Yixin, HUANG Zhonghan, LI Ren, CAO Lisong. Control strategy for AEB in target traversing based on PreScan[J]. Journal of Shanghai University of Engineering Science, 2025, 39(4): 389-395. doi: 10.12299/jsues.25-0136

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Control strategy for AEB in target traversing based on PreScan

doi: 10.12299/jsues.25-0136

1.
School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei 230009, China
2.
Anhui Ankai Automobile Co., Ltd., Hefei 230041, China

Received Date: 2025-05-27
Available Online: 2026-02-02
Publish Date: 2025-12-01

Abstract

Abstract

Aiming at the motion relationship between the vehicle and the passing target in the straight ahead process, an autonomous emergency braking (AEB) control strategy was proposed. The motion of the target relative to the vehicle was decomposed into lateral and longitudinal components, and the risk coefficient was defined based on the time to collision (TTC) algorithm to establish the early warning judgment conditions, and the dynamic trigger width and dynamic TTC threshold were designed. When the system given an early warning and the driver was not involved, the split speed and graded braking strategy was adopted. The lower controller was constructed based on the variable universe fuzzy PI algorithm to accurately follow the expected acceleration of the vehicle. At the same time, PreScan was used to establish the vehicle reverse longitudinal dynamics model, which was translated into actual operation. Though PreScan and Matlab, the strategy was simulated and verified. The results show that the strategy can effectively avoid collision in the test scenario based on C-NCAP.
- autonomous emergency braking (AEB),
- time to collision (TTC),
- variable universe fuzzy PI controller,
- target traversing,
- PreScan software

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References(15)

References

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