重庆理工大学学报2024，Vol.38Issue(15)：64-73,10.DOI:10.3969/j.issn.1674-8425(z).2024.08.007
分布式驱动电动汽车横向稳定性自适应优化控制
Adaptive optimization control for lateral stability of distributed drive electric vehicle
摘要
Abstract
To enhance the lateral stability of distributed drive electric vehicles under extreme conditions,this paper introduces a control methodology leveraging SAMPC Adaptive Model Predictive Control(SAMPC) input weighting.Utilizing phase plane analysis for instability assessment,the method divides the phase plane into stability,boundary,and instability regions,assigning weights for calculating additional yaw moment and torque.Recognizing the pivotal influence of side yaw angle and yaw velocity on vehicle stability,the SAMPC input weighting method is devised to precisely determine the additional yaw moment.Additionally,a torque distribution approach is proposed to expedite optimization,with multiple objective functions devised to gauge vehicle stability and power performance.Our simulation results demonstrate SAMPC significantly outperforms MPC,with a notable 49.4％ reduction in average absolute error and 55.3％ decrease in root-mean-square error for centroid side deflection angle in μ=0.4,vx=70km/h.Conversely,for the side deviation angle of the center of mass,the average absolute error diminishes by 24.5％,and the root-mean-square error by 23.8％,showing a comparatively weaker enhancement effect in μ=0.2,vx=90 km/h.关键词
极限工况/DYC系统/模型预测控制/优化分配Key words
extreme conditions/DYC system/model predictive control/optimal distribution分类
交通工程引用本文复制引用
丁宁,贝绍轶,李波,汤浩然,殷国栋..分布式驱动电动汽车横向稳定性自适应优化控制[J].重庆理工大学学报,2024,38(15):64-73,10.基金项目
国家自然科学基金项目(52172367) （52172367）
江苏省高校自然科学基金重大项目(21KJA580001) （21KJA580001）
常州市国际科技合作基金项目(CZ20220031) （CZ20220031）
江苏省研究生科研与实践创新计划(SJCX23_1608) （SJCX23_1608）
