安庆师范大学学报（自然科学版）2024，Vol.30Issue(2)：47-51,5.DOI:10.13757/j.cnki.cn34-1328/n.2024.02.008
基于A-ECMS的增程式电动汽车能量管理策略设计及应用
Design and Application of Energy Management Strategy for Extended-Range Electric Vehicles Based on A-ECMS
摘要
Abstract
Extended-range electric vehicles are favored in the new energy vehicle market due to their high electric drive efficiency and the absence of range anxiety. To further enhance their overall performance, this study constructs an extended-range electric vehicle simulation model in MATLAB/Simulink environment. Subsequently, an Adaptive Equivalent Fuel Con-sumption Minimum Strategy (A-ECMS) is developed using the equivalent adaptive factor to improve the Equivalent Fuel Con-sumption Minimum Strategy (ECMS) algorithm. The results, under a WLTC operating condition, show that the comprehensive fuel consumption per 100 kilometers of A-ECMS energy management strategy is 6.42 L, and the comprehensive fuel consump-tion is 0.71 L, both of which are lower than other methods. The final state of charge (SOC) of the battery is 31.1％, with a devi-ation of only 1.1％from the target SOC. The experimental results confirm that this strategy has good fuel economy and is bene-ficial for improving the service life of batteries, providing a new method reference for optimizing the performance of extended-range electric vehicles.关键词
增程式电动汽车/能量管理/策略设计/ECMSKey words
Extended-range electric vehicles/energy management/strategy design/ECMS分类
交通工程引用本文复制引用
张光洲,梅琳..基于A-ECMS的增程式电动汽车能量管理策略设计及应用[J].安庆师范大学学报（自然科学版）,2024,30(2):47-51,5.基金项目
合肥学院自然科学研究项目(20ZR02ZDB) （20ZR02ZDB）
