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@article{168012,
author = {Bindiya Tyagi and Shibajeet Mukherjee},
title = {Advancements in Regenerative Braking: A Novel Circuit Design and Performance Analysis},
journal = {International Journal of Innovative Research in Technology},
year = {2024},
volume = {11},
number = {4},
pages = {1661-1665},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=168012},
abstract = {The ongoing energy crisis and the depletion of natural resources demand the development of cutting-edge technologies designed to reclaim energy that is frequently wasted in contemporary systems. A notable innovation in this area is the regenerative braking system, especially within the automotive sector. This technology enables the conversion of a vehicle's kinetic energy (K.E.) into a usable form, which can either be harnessed immediately or stored for future application. Regenerative braking systems capture a portion of the K.E. dissipated during braking and either store it or revert it to its original form. This recaptured energy is typically stored in batteries or capacitors for later use, or alternatively, it can be stored using a rotating flywheel—recognized as one of the most cost-effective and efficient methods for energy storage and recovery.
This paper presents a simulation of an innovative regenerative braking system that harnesses flywheel inertia to store energy. When the brakes are engaged, the flywheel generates a counteracting force against the wheel's forward motion. A rider-operated clutch mechanism locks the system in place, allowing for the accumulation of energy across multiple braking instances. In electric vehicles, this regenerative braking mechanism repurposes the engine as a generator, channeling the produced electrical power to an external load. This dual-function process not only decelerates the vehicle but also recaptures energy, which is redirected to the load. The proposed approach represents a significant advancement in energy recovery and storage for electric vehicles, enhancing both efficiency and sustainability.},
keywords = {Regenerative Braking, BLDC Motor, MATLAB},
month = {November},
}
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