基于多目标并行混沌优化的分布式驱动电动汽车横摆稳定性研究

肖祥慧; 宋运豪; 史可; 袁小芳

doi:10.12263/DZXB.20240845

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基于多目标并行混沌优化的分布式驱动电动汽车横摆稳定性研究

学术论文 | 更新时间：2025-12-11

- 基于多目标并行混沌优化的分布式驱动电动汽车横摆稳定性研究
- Yaw Stability Control of Distributed Drive Electric Vehicle Based on Multi-Objective Parallel Chaos Optimization
- 电子学报 2024年52卷第12期页码：4166-4174
- 作者机构：
  
  1.佛山大学机电工程与自动化学院，广东佛山 528000
  2.广东省工业智能检测技术重点实验室，广东佛山 528000
  3.湖南大学电气与信息工程学院，湖南长沙 410082
- 作者简介：
  
  [ "肖祥慧男，1983年生.博士，副教授，研究方向为电机系统及其控制. E-mail: xiaoen3@126.com" ]
  [ "宋运豪男，1998年生.硕士生.研究方向为分布式电动汽车及智能网联汽车的边缘计算. E-mail: yunhaosong618@163.com" ]
  [ "史可男，1993年生.博士.研究方向为分布式电动汽车及其控制. E-mail: samkieth@hnu.edu.cn" ]
  [ "袁小芳男，1979年生.教授，博士生导师.研究方向为电机系统及智能控制. E-mail: yuanxiaofang@hnu.edu.cn" ]
- 基金信息：
  
  国家重点研发计划(2023YFB2504703);国家自然科学基金(52177132)
- DOI：10.12263/DZXB.20240845
  中图分类号： TP273;
- 收稿：2024-09-19，
  
  修回：2024-12-09，
  
  纸质出版：2024-12-25
- 稿件说明：
移动端阅览
肖祥慧, 宋运豪, 史可, 等. 基于多目标并行混沌优化的分布式驱动电动汽车横摆稳定性研究[J]. 电子学报, 2024, 52(12): 4166-4174.

XIAO Xiang-hui, SONG Yun-hao, SHI Ke, et al. Yaw Stability Control of Distributed Drive Electric Vehicle Based on Multi-Objective Parallel Chaos Optimization[J]. Acta Electronica Sinica, 2024, 52(12): 4166-4174.
肖祥慧, 宋运豪, 史可, 等. 基于多目标并行混沌优化的分布式驱动电动汽车横摆稳定性研究[J]. 电子学报, 2024, 52(12): 4166-4174. DOI：10.12263/DZXB.20240845

XIAO Xiang-hui, SONG Yun-hao, SHI Ke, et al. Yaw Stability Control of Distributed Drive Electric Vehicle Based on Multi-Objective Parallel Chaos Optimization[J]. Acta Electronica Sinica, 2024, 52(12): 4166-4174. DOI：10.12263/DZXB.20240845

摘要

横摆稳定性是分布式驱动电动汽车（Distributed Drive Electric Vehicle，DDEV）稳定性研究中的重要难题.为解决DDEV横摆稳定性结构复杂、强耦合等问题，基于DDEV轮毂电机的独立可控性，本文提出一种基于多目标并行混沌优化的DDEV横摆稳定性控制系统.该控制系统由2个部分组成；上层控制器利用多目标优化策略，通过多目标并行混沌优化算法来计算DDEV维持横摆稳定所需的理想横摆角速度和期望滑移率；下层控制器为执行单元，根据上层控制器输出的最优期望变量，采用2个模糊控制器分别修正主动前轮转向角和分配驱/制动转矩，改善DDEV横摆稳定性.模型构建和仿真过程在Matlab/Simulink平台上完成，结果表明：该控制系统优化协调主动前轮转向角和驱/制动转矩，保证了DDEV横摆稳定性.

Abstract

Yaw stability is an important problem in the stability study of distributed drive electric vehicles (DDEV). In order to solve the problems of complex structure and strong coupling in yaw stability

a control system based on multi-objective parallel chaos optimization is proposed for DDEV in this paper. This control system consists of two parts. The upper controller employs a multi-objective optimization strategy

leveraging a multi-objective parallel chaotic optimization algorithm

to determine the optimal yaw rate and desired slip rate essential for maintaining lateral stability in a distributed drive electric vehicle. The lower controller is execution unit

two fuzzy logic controllers are adopted to correct front wheel steering angle and distribute drive/brake torque respectively

according to the optimal desired variables computed by the upper controller. The modeling and simulation process is completed on the Matlab/Simulink platform

and the results show that the control system optimally coordinates the active steering angle of the front wheels and the driving/braking torque to ensure the lateral stability of the DDEV.

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references

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