| Abstrak/Abstract |
The transportation sector, a significant contributor to carbon dioxide emissions as of 2020,
confronts a pressing challenge in mitigating pollution. Electric Vehicles (EVs) present a promising solution,
offering a cleaner alternative; however, their limited travel range poses a constraint. Hybrid Electric
Vehicles (HEVs) and Hybrid Energy Storage System Electric Vehicles (HESS EVs) emerge as economically
feasible compromises. Nonetheless, the effective management of energy and the optimization of power
source size remain crucial challenges for both HEVs and HESS EVs. Among various Energy Management
Strategies (EMS), the Fuzzy Logic Controller (FLC) stands out for its performance, simplicity, and real-time
applicability. This article comprehensively explores the diverse applications of FLC as an EMS in both HEVs
and HESS EVs, providing a comparative analysis with other EMS methods and delving into the advantages
and challenges associated with each approach. A detailed examination of various FLC types employed as
EMS has been conducted, drawing insights from a multitude of references. Each class of FLC EMS is
scrutinized, presenting a broad overview of proposed methodologies within each category. By providing
this comprehensive information, the article equips readers with foundational knowledge and insights for the
continued development of FLC EMS in hybrid electric and hybrid energy storage system electric vehicles. |
