TY - GEN
T1 - Hybrid Control Algorithm for BLDC Drive Involving Battery and Supercapacitor in E-bikes
AU - Vishnu, S.
AU - Dash, Abinash
AU - Praveena Krishna, P. S.
AU - Arjun, M.
AU - Jayalakshmi, N. S.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The world is observing a tremendous transition from internal combustion engine (ICE) vehicles to EVs lately. In the urban commute sector, two-wheelers play an important role as it reduces traffic congestion and saves time. With the adoption of two-wheeler E-bikes, the emission, noise and cost of maintenance are reduced. To enable higher efficiency and range of E-bike drive systems, a hybrid power source is essential. In this work, a novel algorithm is designed and developed for a Hybrid Energy Storage System (HESS) comprising of battery and supercapacitor (SC) for BLDC drive in E-bike. The control algorithm design involves motoring and regenerative braking operation while incorporating five different riding modes using the MATLAB/Simulink platform. The efficiency, speed and torque tracking of the system are considered for variable loading of the motor to verify the efficacy of the proposed algorithm for HESS employed to E-bikes.
AB - The world is observing a tremendous transition from internal combustion engine (ICE) vehicles to EVs lately. In the urban commute sector, two-wheelers play an important role as it reduces traffic congestion and saves time. With the adoption of two-wheeler E-bikes, the emission, noise and cost of maintenance are reduced. To enable higher efficiency and range of E-bike drive systems, a hybrid power source is essential. In this work, a novel algorithm is designed and developed for a Hybrid Energy Storage System (HESS) comprising of battery and supercapacitor (SC) for BLDC drive in E-bike. The control algorithm design involves motoring and regenerative braking operation while incorporating five different riding modes using the MATLAB/Simulink platform. The efficiency, speed and torque tracking of the system are considered for variable loading of the motor to verify the efficacy of the proposed algorithm for HESS employed to E-bikes.
UR - http://www.scopus.com/inward/record.url?scp=85137271423&partnerID=8YFLogxK
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U2 - 10.1109/PECCON55017.2022.9851060
DO - 10.1109/PECCON55017.2022.9851060
M3 - Conference contribution
AN - SCOPUS:85137271423
T3 - 2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future, PECCON 2022
BT - 2022 International Virtual Conference on Power Engineering Computing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Virtual Conference on Power Engineering Computing and Control: Developments in Electric Vehicles and Energy Sector for Sustainable Future, PECCON 2022
Y2 - 5 May 2022 through 6 May 2022
ER -
