北京信息科技大学学报（自然科学版）2025，Vol.40Issue(6)：13-24,12.DOI:10.16508/j.cnki.11-5866/n.2025.06.002
基于GA优化的复合储能再生制动双层控制
Dual-layer control of regenerative braking for hybrid energy storage based on GA optimization
张奥 1龚国庆1
作者信息
- 1. 北京信息科技大学机电工程学院,北京 100192
- 折叠
摘要
Abstract
To improve the braking energy recovery efficiency of the hybrid energy storage system in battery electric vehicles,a dual-layer regenerative braking control strategy based on fuzzy control and genetic algorithm(GA)optimization was proposed.In the upper layer,GA was used to optimize the fuzzy controller for the distribution between regenerative and mechanical braking forces,while in the lower layer,the recovery power was adaptively allocated according to the state of charge(SOC)of the battery and supercapacitor.A Cruise-Simulink co-simulation platform was established,and the validation results conducted under the new European driving cycle(NEDC)and urban dynamometer driving schedule(UDDS)operating conditions show that the GA optimization increases the braking energy recovery efficiency by 2.1 and 2.3 percentage points respectively,and compared with the conventional"supercapacitor-priority"scheme,the SOC dynamic allocation strategy enables the energy storage to absorb more energy and reduces losses in the recovery circuitry.关键词
复合储能/再生制动能量回收/遗传算法/模糊控制/能量分配Key words
hybrid energy storage/regenerative braking energy recovery/genetic algorithm(GA)/fuzzy control/energy allocation分类
交通工程引用本文复制引用
张奥,龚国庆..基于GA优化的复合储能再生制动双层控制[J].北京信息科技大学学报（自然科学版）,2025,40(6):13-24,12.
