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Research on Composite Braking Control Strategy for Rear-Drive Electric Buses Based on Braking Intent Recognition
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Liang SU1, 2, Jinming SHI2, Yong HAN2, 3
Chinese Journal of Automotive Engineering | 2025, 15(2) : 224 - 234
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Chinese Journal of Automotive Engineering | 2025, 15(2): 224-234
System Dynamics Section
Research on Composite Braking Control Strategy for Rear-Drive Electric Buses Based on Braking Intent Recognition
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Liang SU1, 2, Jinming SHI2, Yong HAN2, 3
Affiliations
  • 1 Xiamen Kinglong United Automobile Industry Co.,Ltd.,Xiamen 361023,Fujian,China
  • 2 School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen 361024,Fujian,China
  • 3 Fujian Provincial Key Laboratory of Advanced Design and Manufacturing of Buses,Xiamen 361024,Fujian,China
Published: 2025-03-20 doi: 10.3969/j.issn.2095‒1469.2025.02.10
Outline
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To extend the range of rear-drive electric buses, a brake force distribution control strategy based on intention recognition is proposed. Firstly, 400 sets of real-vehicle braking data were collected and analyzed. The brake pedal opening and its rate of change were used to calculate the braking force applied to the front and rear axles. Considering the battery constraints and the regenerative braking constraints of the rear axle motor, the braking control strategy is formulated and validated using Simulink-Trucksim joint simulation. The results show that the composite braking control strategy based on intention recognition achieves an accuracy of 95.7% in detecting the driver's braking intention. Under typical urban driving cycle in China, the fuzzy neural network-based energy recovery strategy, the fuzzy control recovery strategy, and the conventional recovery strategy increased the final state of charge (SOC) by 2.69%, 2.09% and 1.83%, respectively, compared with the non-recovery control strategy.

braking intent recognition  /  fuzzy neural network  /  rear-drive bus  /  EMB  /  energy recovery
Liang SU, Jinming SHI, Yong HAN. Research on Composite Braking Control Strategy for Rear-Drive Electric Buses Based on Braking Intent Recognition[J]. Chinese Journal of Automotive Engineering, 2025 , 15 (2) : 224 -234 . DOI: 10.3969/j.issn.2095‒1469.2025.02.10
Year 2025 volume 15 Issue 2
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Article Info
doi: 10.3969/j.issn.2095‒1469.2025.02.10
  • Receive Date:2023-12-05
  • Online Date:2025-07-20
  • Published:2025-03-20
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History
  • Received:2023-12-05
  • Revised:2024-04-14
Funding
Affiliations
    1 Xiamen Kinglong United Automobile Industry Co.,Ltd.,Xiamen 361023,Fujian,China
    2 School of Mechanical and Automotive Engineering,Xiamen University of Technology,Xiamen 361024,Fujian,China
    3 Fujian Provincial Key Laboratory of Advanced Design and Manufacturing of Buses,Xiamen 361024,Fujian,China
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表12种不同金属材料的力学参数

Family
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Number of
genus
种数
Number of
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占总种数比例
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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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