The Significance of Fuzzy Logic Based Control Algorithms in Shaping Energy Management Strategies for Electric Vehicles: An In-Depth Analysis

The energy required to overcome the inertia moment of the electric motor, especially during rapid movements of electric vehicles, brings about uneven current characteristics on lithium-ion batteries. This situation can have negative effects on the driving range, performance, and battery state of health value of the vehicle. Therefore, energy management strategies in electric vehicles play a critical role in overcoming these challenges and optimizing the system. Energy management strategies in electric vehicles are planned approaches developed to optimize battery usage. These strategies regulate the energy flow to improve vehicle performance and optimize range based on factors such as driver demands, road conditions, and energy consumption. To regulate these flows, energy management strategies operate under the dominance of specific control algorithms. Many articles in the literature focus on these control theories, with particular emphasis on fuzzy logic-based control methods due to their flexibility and diversity in structures. The aim of this study is to comprehensively understand fuzzy logic-based control algorithms and examine their role in energy management strategies in electric vehicles from a broad perspective. The framework created could serve as a comprehensive resource for engineers and researchers working in the field of electric vehicles for quick decision-making.