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Model Predictive Control of Electric Vehicle Operating Stability Based on Phase Plane
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Kaiqi Huang, Shucheng Wen
Automobile Technology | 2023, (12) : 47 - 53
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Automobile Technology | 2023, (12): 47-53
Model Predictive Control of Electric Vehicle Operating Stability Based on Phase Plane
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Kaiqi Huang, Shucheng Wen
Affiliations
  • College of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000
Published: 2023-12-24 doi: 10.19620/j.cnki.1000-3703.20230237
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To improve the handling stability of distributed drive electric vehicles, this paper proposed an integrated control strategy for active front wheel steering and direct yaw torque based on model predictive control and phase plane method. The strategy consists of a vehicle stability judgment module based on the centroid sideslip angle phase plane, a stability controller based on improved model predictive control and a torque divider. Through the evaluation of vehicle stability on the phase plane, the vehicle stability formula was introduced into the objective function design of the model predictive controller, the active angle and additional yaw moment of the decision were adjusted. Considering vehicle stability and dynamics, a torque synthesis optimization allocation method based on phase plane was designed to allocate torque. Simulation under low adhesion and double lane shifting conditions shows that the control strategy improves the handling stability of the vehicle under medium and low adhesion conditions.

Phase plane  /  Handling stability  /  Model predictive control  /  Torque distribution
Kaiqi Huang, Shucheng Wen. Model Predictive Control of Electric Vehicle Operating Stability Based on Phase Plane[J]. Automobile Technology, 2023 , (12) : 47 -53 . DOI: 10.19620/j.cnki.1000-3703.20230237
Year 2023 volume Issue 12
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Article Info
doi: 10.19620/j.cnki.1000-3703.20230237
  • Online Date:2025-12-07
  • Published:2023-12-24
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  • Revised:2023-04-25
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    College of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou 341000
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
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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