一种基于动态鲁棒多目标优化的模糊能源管理方法
By improving the NSGA-III algorithm and introducing a fuzzy logic controller, combined with a robust objective function, the problem of high-dimensional multi-objective optimization in the energy management system of hybrid vehicles was solved, achieving more efficient power distribution and extended battery life, and improving vehicle safety and controller robustness.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NINGBO INST OF TECH ZHEJIANG UNIV ZHEJIANG
- Filing Date
- 2023-06-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing multi-objective optimization algorithms are difficult to effectively handle high-dimensional multi-objective problems in the energy management system of hybrid vehicles, resulting in unreasonable power allocation, affecting vehicle safety and battery life. Furthermore, existing algorithms have high computational complexity when optimizing high-dimensional objectives.
A fuzzy energy management method based on dynamic robust multi-objective optimization is adopted. By improving the fitness evaluation function and selection strategy of the NSGA-III algorithm, and combining a fuzzy logic controller and a robust objective function, the power allocation of lithium batteries and supercapacitors is optimized. The concept of dynamic robustness is introduced to consider the multi-objective performance of past and future populations.
It improves the robustness of hybrid vehicles under various operating conditions and the accuracy of the controller, optimizes power distribution, extends battery life, and ensures the safety of the powertrain.
Smart Images
Figure CN116699991B_ABST