An Overview of Intelligent Control Techniques for Enhancing Regenerative Braking Energy in Hybrid Electric Vehicles

In the automobile sector, Hybrid Electric Vehicles (HEVs) serve as a game-changer due to they provide a sustainable way to improve fuel efficiency and address environmental issues. Regenerative braking is a crucial component that recover kinetic energy during braking allows the vehicle’s battery to be additionally charged and thus extends the driving range. The application of intelligent techniques in optimizing the regenerative braking control system for HEVs is extensively explored in this paper. This research offers an in-depth analysis of intelligent control techniques such as fuzzy logic control, Sliding mode control, neural network, etc., which demonstrating the rate at which they can harvest energy recovery efficiently. This review addresses related issues such computing complexity and real-time responsiveness in addition to emphasizing the benefits of intelligent control systems. The review ends with recommendations for future research, such as integrating adaptive control techniques by synthesizing the current state of intelligent techniques in regenerative braking control, to guide researchers and practitioners towards developing robust and efficient solutions for the sustainable advancement of HEV technology.