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汽车安全与节能学报 ›› 2026, Vol. 17 ›› Issue (2): 170-178.DOI: 10.3969/j.issn.1674-8484.2026.02.002

• 汽车安全 • 上一篇    下一篇

基于青蒿素混合优化算法的复合工况轮胎参数辨识

丁文皓(), 王飞*(), 金妍希, 赵一睿, 武天圻   

  1. 长安大学 汽车学院西安 710018, 中国
  • 收稿日期:2025-09-06 修回日期:2026-02-07 出版日期:2026-04-30 发布日期:2026-04-30
  • 通讯作者: 王飞,讲师。E-mail:herokingfly@chd.edu.cn
  • 作者简介:丁文皓(2005—),男(汉),江苏,本科生。E-mail:2023900812@chd.edu.cn
  • 基金资助:
    教育部基础学科和交叉学科突破计划(JYB2025XDXM104)

Tire parameter fitting for combined conditions based on artemisinin hybrid optimization

DING Wenhao(), WANG Fei*(), JIN Yanxi, ZHAO Yirui, WU Tianqi   

  1. School of Automobile, Chang’ an University, Xi’ an 710018, China
  • Received:2025-09-06 Revised:2026-02-07 Online:2026-04-30 Published:2026-04-30

摘要:

为车辆控制策略提供轮胎模型基础,提出了一种结合青蒿素优化(AO)算法与后处理优化的参数辨识方法—青蒿素混合优化(AHO)算法。基于魔术轮胎公式,采用3种工况(纯纵滑、纯侧偏及侧倾、侧偏、纵滑共存的复合)试验数据,通过AO算法对轮胎模型进行全局参数辨识;结合灵敏度分析及参数意义开展后处理优化。结果表明:在复合工况下,相较于分步辨识策略、遗传算法与最小二乘法,AHO算法可将纵向力整体精度提升1.83%、1.87%、1.71%;侧向力整体精度提升1.62%、3.86%、1.80%。从而,本AHO算法提升了复合工况下轮胎力学模型的辨识精度。

关键词: 车辆控制策略, 轮胎模型, 魔术公式, 复合工况, 青蒿素混合优化(AHO)算法

Abstract:

A parameter identification method, named the artemisinin hybrid optimization (AHO) algorithm, was proposed with combining the artemisinin optimization (AO) algorithm and the post-processing optimization to provide a tire model foundation for vehicle control strategies. The AO algorithm conducted the global parameter identification of the tire model based on the magic formula, using the test data from 3 conditions (the pure longitudinal slip, the pure side slip, and the combined conditions involving the tire roll, the side slip, and the longitudinal slip), before performing post-processing optimization by integrating the sensitivity analysis and the parameter significance. The results show that the AHO increases the overall accuracy of the longitudinal force by 1.83%, 1.87%, and 1.71%, and that of the lateral force by 1.62%, 3.86%, and 1.80% respectively under the combined conditions, compared with the stepwise identification method, genetic algorithm, and least squares method. Therefore, the AHO algorithm improves the identification accuracy of tire mechanical models under the combined conditions.

Key words: vehicle control strategies, tire models, magic formula, combined conditions, artemisinin hybrid optimization (AHO) algorithm

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