دانلود مقاله ISI انگلیسی شماره 143131
ترجمه فارسی عنوان مقاله

بهینه سازی چند رشته ای از سیستم شاسی خودرو یک موتور الکتریکی بر اساس عملکرد استقامتی پایدار

عنوان انگلیسی
Multidisciplinary optimization of electric-wheel vehicle integrated chassis system based on steady endurance performance
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
143131 2018 20 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Journal of Cleaner Production, Volume 186, 10 June 2018, Pages 640-651

ترجمه کلمات کلیدی
عملکرد استقامتی پایدار، وسیله نقلیه الکتریکی، سیستم شاسی مجتمع، بهینه سازی چند رشته ای،
کلمات کلیدی انگلیسی
Steady endurance performance; Electric-wheel vehicle; Integrated chassis system; Multidisciplinary optimization;
پیش نمایش مقاله
پیش نمایش مقاله  بهینه سازی چند رشته ای از سیستم شاسی خودرو یک موتور الکتریکی بر اساس عملکرد استقامتی پایدار

چکیده انگلیسی

This paper presents a brand-new chassis system for an electric-wheel vehicle, comprising differential-assisted steering, hub motor driving, and semi-active suspension systems. The three subsystems interact and are coupled with each other. All three codetermine the comprehensive performance of the entire vehicle. Therefore, the integrated optimization of electric-wheel vehicle chassis systems needs to be carried out based on the considerations of the coupling relationships among the three subsystems. In this study, the dynamic model of the integrated chassis system is established. Based on the specific quantitative formulas of the steering road feel, steering sensitivity, semi-active suspension riding comfort, steering energy consumption, and driving energy consumption, the comprehensive evaluation index “Steady Endurance Performance (SEP)” is introduced for electric-wheel vehicles. In addition, this study proposes the multidisciplinary optimization method of bi-level integrated system collaborative optimization (BLISCO) for electric-wheel vehicle integrated chassis systems to improve the accuracy of the optimization and avoid limitations pertaining to local optimal solutions. The optimization results show that the BLISCO method can not only improve the convergence of the Pareto solution set and the accuracy of the multidisciplinary optimization results of the integrated chassis system, but can also effectively enhance the handling stability, steering portability, riding comfort, and economical efficiency of the entire vehicle to guarantee the vehicle’s endurance under conditions of steady driving.