Design and Optimization of Regenerative Braking Systems in Electric Vehicles
G. Prasanth1, T. Bhanu Prasad2, L. Sruthi Pavani3, Y. Vara lakshmi4, M. Praveen5
1Assistant Professor, Department of Electrical and Electronics Engineering, Avanthi Institute of Engineering and Technology, Cherukupally, Vizianagaram - 531162., Andhra Pradesh, India
2,3,4,5B.Tech Student , Department of Electrical and Electronics Engineering, Avanthi Institute of Engineering and Technology, Cherukupally, Vizianagaram - 531162., Andhra Pradesh, India
Email: prasant.oct26@gmail.com
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Abstract - The growing adoption of electrical automobiles (EVs) has caused huge improvements in strength performance and sustainability, with regenerative braking structures (RBS) gambling an important role in enhancing overall performance. Regenerative braking enables EVs to get better kinetic energy for the duration of braking, converting it into electric power that is stored within the battery or supercapacitor for later use. This system enhances power performance, extends using range, and reduces wear on mechanical braking components. but challenges which includes strength recovery limitations, braking torque optimization, gadget integration, and control performance ought to be addressed to maximise the benefits of regenerative braking. This study explores the layout and optimization of regenerative braking structures in EVs, that specialize in braking electricity recuperation, energy electronics control, and battery control strategies. various RBS architectures, such as collection, parallel, and mixed braking configurations, are analyzed for his or her efficiency, safety, and reliability. A MATLAB/Simulink-based totally simulation is conducted to evaluate electricity recovery efficiency, braking pressure distribution, and machine reaction below different riding situations. The results reveal that optimized braking torque distribution, adaptive braking manage, and hybrid energy storage integration significantly enhance strength recuperation charges and device longevity. future research has to cognizance on AI-primarily based regenerative braking algorithms, dynamic strength redistribution, and actual-time braking optimization techniques for subsequent-generation electric and hybrid automobiles.
Key Words: Regenerative braking, electric vehicles, energy recovery, braking torque, optimization.
