Transactions on Machine Intelligence

Transactions on Machine Intelligence

Novel Three-port Buck-Boost DC-DC Converter for Hybrid Vehicle Powertrains Capable of Returning Regenerative braking Energy

Document Type : Original Article

Authors
H. Soltani Gohari 1
K. Abbaszadeh 2
1 Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
2 Professor, Department of Electrical Engineering, K.N.Toosi University of Technology, Tehran, Iran
10.47176/TMI.2019.76
Abstract
The paper introduces a novel three-port buck-boost DC-DC converter designed for application in hybrid electric vehicle (HEV) powertrains. Notably, the converter's unique feature lies in its ability to function as a buck-boost converter in two directions, facilitating the recovery of regenerative braking energy during diverse driving cycles characterized by varying braking durations. The operating modes of the converter encompass charging, propulsion, and regenerative braking. While the battery can be charged using any DC power source such as a photovoltaic (PV) panel or rectified grid voltage, the paper specifically assumes a PV panel as the power source. This emphasis underscores the converter's versatility in accommodating a broad range of voltages. In propulsion mode, the converter can operate with one or two power sources in accordance with commands from the energy management system. To validate the system analysis, the proposed converter undergoes simulation in MATLAB software, covering different conditions within each operating mode. The simulation results are meticulously analyzed, providing a comprehensive understanding of the converter's performance under varied scenarios. This research contributes to advancing the capabilities of HEV powertrains, offering a versatile and efficient solution for energy management and regenerative braking in diverse driving conditions.
Keywords
DC-DC Converter
Hybrid Electric Vehicle
Hybrid Powertrain
Regenerative braking
Battery Charger
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Transactions on Machine Intelligence
Volume 2, Issue 2
Spring 2019
Pages 76-87

  • Receive Date 09 March 2019
  • Revise Date 02 April 2019
  • Accept Date 15 June 2019