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电动汽车模糊识别复合制动强度控制仿真优化

Simulation and Optimization of Hybrid Braking Strength Control for Electric Vehicle with Fuzzy Recognition
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摘要 汽车制动效果直接影响到安全性,对制动强度的研究至关重要。为了进一步提高电动汽车制动能力,设计了一基于种模糊识别的制动强度控制方法。结合不同路面制动强度来实现制动工作模式切换,采用差速调节方式提升控制稳定性。研究结果表明:制动时间达到0.6 s后,车辆刹车减速度是8.4 m/s^(2),形成14 m的刹车距离,满足行业控制要求。刹车过程需要3.5 s左右的时间,此时制动力矩趋于稳定。在前3 s电机起到刹车功能,对刹车能量进行高效的回收。该研究有助于提高车辆行驶平稳性,具有很高的实用效果。 The automobile braking effect directly affects the safety,so it is very important to study the braking strength.In order to further improve the braking capability of electric vehicles,a braking strength control method based on fuzzy recognition is designed.The braking operation mode is switched according to the braking strength of different road surfaces,and the control stability is improved by differential adjustment.The results show that when the braking time reaches 0.6s,the braking deceleration of the vehicle is 8.4m/s^(2),forming a braking distance of 14m,which meets the control requirements of the industry.The braking process takes about 3.5s.In the front 3s motor,the brake function is used to recover the brake energy efficiently.The research is helpful to improve the ride stability of the vehicle and has a high practical effect.
作者 罗志华 Luo Zhihua(School of Automotive Engineering,Henan Vocational College of Industry and Trade,Zhengzhou Henan 450053,China)
出处 《机械管理开发》 2025年第8期69-70,73,共3页 Mechanical Management and Development
基金 河南省高等学校重点科研项目(22A470005)。
关键词 电动汽车 复合制动 模糊识别 力矩分配 滑移率 electric vehicle composite braking fuzzy recognition moment distribution slip ratio
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