An Efficient Regenerative Braking System Based on Battery- Ultracapacitor for Electric Vehicles
Author:
Affiliation:
1. School of Electrical Engineering Vellore Institute of Technology,Vellore
2. AMC Engineering College,Department of Electrical Engineering,Bengaluru
3. Sri Krishna College of Engineering and Technology,Department of EEE,Coimbatore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9696358/9696444/09696557.pdf?arnumber=9696557
Reference13 articles.
1. Hybrid Energy Storage System (HESS) in vehicular applications: A review on interfacing battery and ultra-capacitor units
2. Comparison of the topologies for a hybrid energy-storage system of electric vehicles via a novel optimization method
3. Optimizing for Efficiency or Battery Life in a Battery/Supercapacitor Electric Vehicle
4. The SOC Estimation of NIMH Battery Pack for HEV Based on BP Neural Network
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1. Neural Sliding Mode Control of a Buck-Boost Converter Applied to a Regenerative Braking System for Electric Vehicles;World Electric Vehicle Journal;2024-02-02
2. A Battery-Ultracapacitor Based Electric Vehicle with Regenarative Braking System;2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE);2023-06-15
3. An Overview of the Regenerative Braking Technique and Energy Storage Systems in Electric, Hybrid, and Plug-In Hybrid Electric Vehicles;2023 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2023-02-18
4. Neural Sliding mode control of a regenerative braking system for electric vehicles;Revista del Diseño Innovativo;2022-12-31
5. Neural Inverse Optimal Control of a Regenerative Braking System for Electric Vehicles;Energies;2022-11-28
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