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Adaptive Torque Control In-Wheel-Motor Driven Vehicles Based on Pavement Impact Factors
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Xiang FU1, 2, 3, Maojia TANG1, 2, 3, Luzhe SUN1, 2, 3
Chinese Journal of Automotive Engineering | 2024, 14(1) : 33 - 48
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Chinese Journal of Automotive Engineering | 2024, 14(1): 33-48
System Dynamics Setion
Adaptive Torque Control In-Wheel-Motor Driven Vehicles Based on Pavement Impact Factors
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Xiang FU1, 2, 3, Maojia TANG1, 2, 3, Luzhe SUN1, 2, 3
Affiliations
  • 1 Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan 430070 China
  • 2 Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China
  • 3 Hubei Research Center for New Energy & Intelligent Connected Vehicle,Wuhan University of Technology,Wuhan 430070,China
doi: 10.3969/j.issn.2095–1469.2024.01.04
Outline
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To achieve multiobjective optimization of power performance and stability for inwheelmotor driven offroad vehicles in complex environments with variable adhesion conditions and undulating road surfaces, the paper proposed an adaptive torque control strategy based on pavement impact factors. Five characteristic parameters, namely, the difference in rolling resistance, normalized proportion of air resistance, normalized proportion of ramp resistance, variance of road adhesion difference and the minimum road adhesion coefficient, were used as inputs to establish a fiveparameter identification model of pavement impact factors based on fuzzy theory. Considering the identified pavement impact factors, an adaptive torque control strategy was developed for the multiobjective optimization of vehicle power performance and stability, and a threelayer control architecture was constructed. At the top of the strategy, the pavement impact factors are introduced to determine the urgency of acceleration, and the model predictive control algorithm is used to obtain the desired total driving force. The middle layer serves as the target decisionmaking layer, which governs the antiskid torque based on the optimal slip rate, and determines the desired feedforward compensation torque according to the road resistance. The base layer servers as the torque distribution level, taking the total demand driving force and the tire utilization ratio as the control objectives. It introduces the pavement impact factors to optimize the weight coefficients of these two objectives. A hybrid optimization algorithm with multiple constraints is applied for adaptive torque control. Simulations were conducted using the Matlab/SimulinkCarSim cosimulation platform, with real vehicle trials for verification. The results show that on lowadhesion road surfaces, the wheel slip control can be achieved rapidly within 0.2 s. On the split road surfaces, the lateral displacement is nearly negligible, showing excellent lateral stability. On highly twisted road surfaces, the system prevents large slip rates of the freespinning wheel from exceeding 0.2.

in-wheel-motor driven electric vehicle  /  fuzzy control  /  pavement influence factor  /  adaptive torque control
Xiang FU, Maojia TANG, Luzhe SUN. Adaptive Torque Control In-Wheel-Motor Driven Vehicles Based on Pavement Impact Factors[J]. Chinese Journal of Automotive Engineering, 2024 , 14 (1) : 33 -48 . DOI: 10.3969/j.issn.2095–1469.2024.01.04
Year 2024 volume 14 Issue 1
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Article Info
doi: 10.3969/j.issn.2095–1469.2024.01.04
  • Receive Date:2022-12-05
  • Online Date:2025-07-21
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  • Received:2022-12-05
  • Revised:2023-01-16
Funding
Affiliations
    1 Hubei Research Center for New Energy & Intelligent Connected Vehicle Wuhan University of Technology Wuhan 430070 China
    2 Hubei Collaborative Innovation Center for Automotive Components Technology,Wuhan University of Technology,Wuhan 430070,China
    3 Hubei Research Center for New Energy & Intelligent Connected Vehicle,Wuhan University of Technology,Wuhan 430070,China
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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
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Genus
种数
Number of
species
占总种数比例
Percentage of total
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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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