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Research on AEB Performance Improvement Method of Electric Two-Wheelers in Accident Scene
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Longwei Yan, Zhiguo Wu, Song Lin, Zhishuang Jiang, Wenbo Zhao, Ruinan Hu
Automotive Engineer | 2025, (4) : 29 - 35
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Automotive Engineer | 2025, (4): 29-35
Research on AEB Performance Improvement Method of Electric Two-Wheelers in Accident Scene
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Longwei Yan, Zhiguo Wu, Song Lin, Zhishuang Jiang, Wenbo Zhao, Ruinan Hu
Affiliations
  • FAW-Volkswagen Automotive Co., Ltd., Changchun 13001
Published: 2025-04-15 doi: 10.20104/j.cnki.1674-6546.20230439
Outline
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In order to improve performance of automatic emergency braking (AEB) system, this article firstly analyzes the data from road traffic accidents, and concludes that the collision frequency and accident fatality rate are higher when the electric two-wheeler drives head-on when the motor vehicle turns left, then summarizes this accident scene as a typical application scenario of AEB system. The PreScan-MATLAB-CarSim active safety simulation test model is built using real vehicle parameters and the technical parameters of the sensor, and the type, number of the sensors and cameras needed and reasonable range of emergency braking parameters are determined by simulation. Finally, driving robot and small-sized bearing robot are employed to build an accident test scene, and the AEB parameter matching and simulation parameter verification are completed. The results show that the parameters can satisfy the requirement of development.

Emergency braking  /  Accident scenario  /  Simulation test  /  Real vehicle verification
Longwei Yan, Zhiguo Wu, Song Lin, Zhishuang Jiang, Wenbo Zhao, Ruinan Hu. Research on AEB Performance Improvement Method of Electric Two-Wheelers in Accident Scene[J]. Automotive Engineer, 2025 , (4) : 29 -35 . DOI: 10.20104/j.cnki.1674-6546.20230439
Year 2025 volume Issue 4
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Article Info
doi: 10.20104/j.cnki.1674-6546.20230439
  • Online Date:2025-11-14
  • Published:2025-04-15
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  • Revised:2024-06-24
Affiliations
    FAW-Volkswagen Automotive Co., Ltd., Changchun 13001
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表12种不同金属材料的力学参数

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Number of
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Number of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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