scholarly journals Design of a Resonant Converter for a Regenerative Braking System Based on Ultracap Storage for Application in a Formula SAE Single-Seater Electric Racing Car

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 161
Author(s):  
Alberto Dolara ◽  
Sonia Leva ◽  
Giacomo Moretti ◽  
Marco Mussetta ◽  
Yales Romulo de Novaes
Keyword(s):  
Kinetic Energy ◽  
Storage System ◽  
Resonant Mode ◽  
Regenerative Braking ◽  
Resonant Converter ◽  
Formula Sae ◽  
Transportation Sector ◽  
Recovery System ◽  
Resonant Inductor

Electric mobility can represent a game changing technology for the long-term sustainability of the transportation sector. Pursuing this target, a model to simulate an Electric Vehicle (EV) for Formula SAE Electric competition is herein proposed: all the subsystems of the EV and the hybrid storage of the Li-ion batteries and Ultra-Capacitors (UCs) are implemented, in order to store the kinetic energy of the regenerative braking in the storage system through the Kinetic Energy Recovery System (KERS). A bidirectional DC-DC resonant converter is herein applied to the KERS to manage the UC pack. The operational limits of the proposed system, keeping the soft-switching properties, are discussed, and the results show the capability of the converter to operate under resonant mode in both boost and buck mode. A drawback is the presence of high current peaks in the resonant inductor. The use of more than one converter in interleaving and the adoption of a suitable capability factor ensure the proper operation of the system.

Design of Kinetic Energy Recovery System for Effi-Cycle

2014 ◽  
Author(s):  
Sidhu Suresh ◽  
Balagovind N. K. Kartha ◽  
Vinod Kumar Gopal ◽  
Sujith T. Pillai ◽  
Govind Udayabhanu ◽  
...  
Keyword(s):  
Kinetic Energy ◽  
Energy Recovery ◽  
Electrical Energy ◽  
Electronic Energy ◽  
North India ◽  
Regenerative Braking ◽  
Bldc Motor ◽  
Energy Recovery System ◽  
Braking System ◽  
Recovery System

This article provides the design of the Kinetic Energy Recovery System designed for Effi-Cycle 2012 competition conducted by the Society of Automotive Engineers, North India Section in Chandigarh, India. This hybrid tricycle has the capability to be driven by 2 humans simultaneously and also by a 400W BLDC motor. The tri-cycle won the Overall First, Best Acceleration and First Runner-up in the Endurance awards. A Kinetic Energy Recovery System (KERS), also known as regenerative braking system, is inbuilt into it in order to harness the energy lost during braking. The Regenerative Braking system used in Effi-cycle makes use of an electronic energy efficient converter to store energy regenerated from the motor during braking, in the form of electrical energy. The system monitors the effective voltage at the BLDC motor driver outputs and calculates the required control algorithms to drive the converter and recover the maximum energy at any point. Microcontrollers are used to monitor the performance of the entire system by tabulating and analysing the different sensor values.

Optimal Approach to Improving the Utilization of Regenerative Energy Considering Power Profile

2021 ◽  
pp. 036119812110049
Author(s):  
Juanjuan Cai ◽  
Jing Xun ◽  
Xiangyu Ji ◽  
Yue Lei
Keyword(s):  
Kinetic Energy ◽  
Programming Model ◽  
Electric Energy ◽  
Urban Rail Transit ◽  
Regenerative Braking ◽  
Energy Calculation ◽  
Efficient Operation ◽  
Operating Modes ◽  
Optimal Approach ◽  
Regenerative Energy

Urban rail transit (URT) develops rapidly in modern cities, and its energy efficiency attracts extensive attention. The utilization of regenerative energy (URE) is an important method for energy-efficient operation of URT. Regenerative braking is an energy recovery mechanism that slows down a moving train by converting its kinetic energy into electric energy. The electric energy can be utilized for other trains to accelerate in a cooperative way. To take full advantage of the regenerative energy, an energy calculation method which considers regenerative braking power to optimize the timetable is proposed in this paper. First, four operating modes of URE are defined and an integer programming model is formulated. Second, a branch and bound algorithm is designed to solve the optimal timetable in different scenarios. Third, the model is evaluated based on the operation data from the Yanfang Line, Beijing Metro, China. For peak hours, the results illustrate that the proposed method can significantly improve URE by 73.7% compared with the original timetable. Also, URE can be improved by 46.3% for off-peak hours. Finally, the comparison between the proposed method and the method based on the kinetic energy theorem is given. The simulation results illustrate that the proposed method could increase URE by 29.7% and 9.9% for peak and off-peak hours scenarios, respectively, in comparison with the method based on the kinetic energy theorem.

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