Design of an Intelligent Controller-Driven Energy Management Strategy for Hybrid Energy Storage Electric Vehicles

Abstract

Developing an effective Energy Management Strategy (EMS) that optimally allocates power between the battery and ultracapacitor  is essential for reducing overall energy consumption in electric vehicles (EVs) and extending battery lifespan. Accordingly, this study aims to design a Fuzzy Logic Controller (FLC)-based EMS for Hybrid Electric Vehicles (HEVs), with explicit consideration of battery degradation mechanisms. To evaluate the proposed EMS, a comprehensive hybrid energy storage electric vehicle model is first developed. In parallel, detailed battery degradation modeling experiments are conducted. Subsequently, a rule-based control approach is employed to achieve intelligent and balanced power distribution within the Hybrid Energy Storage System (HESS). Comparative analysis between the proposed EMS and existing strategies demonstrates that the proposed approach achieves lower energy consumption and significantly mitigates battery degradation.