Driving Force Control of Hub Motor Vehicle Based on Off-road Condition Identification

被引：0
|
作者：
Fu X. [1 ,2 ,3 ]
Wang Y. [1 ,2 ,3 ]
Liu D. [1 ,2 ,3 ]
Wang J. [1 ,2 ,3 ]
机构：
[1] Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan
[2] Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan University of Technology, Wuhan
[3] Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan University of Technology, Wuhan
来源：
Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2023年 / 34卷 / 08期
关键词：
driving force control; fuzzy control algorithm; hub motor vehicle; off-road condition identification;
D O I：
10.3969/j.issn.1004-132X.2023.08.010
中图分类号：
学科分类号：
摘要：
According to the shortcomings of the existing condition recognition strategy in identifying undulating terrain and variable adhesion road surfaces, based on the LuGre tire model, observation space equations were constructed to quickly identify the transient changes of adhesion conditions. The real-time working conditions were mapped with 6 typical working conditions based on fuzzy control algorithm, and a closed-loop control strategy was designed to adaptivcly adjust the real-time output torque of hub motors based on the working condition identification results. Simulation test and real vehicle verification show that the drive force control strategy based on the off-road condition identification may quickly track the transient changes of each wheel adhesion limit and grounding state, and adaptively adjust the real-time driving power of the vehicle to achieve comprehensive optimization of vehicle power performance and stability. © 2023 China Mechanical Engineering Magazine Office. All rights reserved.
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页码：955 / 965
页数：10
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