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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Design and Performance Evaluation of Regenerative Braking Systems in Electric Vehicles

Authors: Bhangale, Yugandhar Deepak;

Design and Performance Evaluation of Regenerative Braking Systems in Electric Vehicles

Abstract

Improving energy utilization is a major challenge in the development of electric vehicles due totheir dependence on limited onboard energy storage systems. In conventional braking systems,the kinetic energy of a moving vehicle is dissipated as heat, resulting in significant energy loss.Regenerative braking systems offer an effective solution by converting a portion of this kineticenergy into electrical energy during deceleration and storing it for later use. This paper presents acomprehensive and original review of regenerative braking systems employed in electricvehicles from a mechanical engineering perspective. The operating principle, system designconsiderations, braking control strategies, and performance characteristics are discussed in detail.Additionally, the advantages, limitations, and future research directions of regenerative brakingsystems are analyzed. The study aims to provide a clear understanding of regenerative brakingtechnology and its role in enhancing the efficiency and sustainability of electric vehicles.

Keywords

Regenerative Braking Electric Vehicle Mechanical Engineering Energy Recovery Vehicle Dynamics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green