EventsThe 1st International Online Conference on Technologies
Published
This submission belongs to the session S6. Electrical Technologies of the event The 1st International Online Conference on Technologies
Published date
06 Nov, 2026
Academic Editor
author-avatarValeri Mladenov
Citation
Prasad Kulkarni, Lakshmanrao S Paragond, Shivashankar Hiremath, A Model Predictive Control Approach for Bidirectional DC–DC Power Conversion in Two-Wheeler Electric Vehicles, in Proceedings of The 1st International Online Conference on Technologies, 11 November–13 November 2026, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

A Model Predictive Control Approach for Bidirectional DC–DC Power Conversion in Two-Wheeler Electric Vehicles

image
1. School of Electrical Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
2. Department of Mechatronics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, Karnataka, India
Abstract

Increasing adoption of electric vehicles (EVs) has intensified the need for efficient power electronic converters capable of managing bidirectional energy flow between the battery and propulsion system. This paper presents the design and simulation of a Model Predictive Control (MPC)-based non-isolated bidirectional DC to DC buck–boost converter for low voltage two-wheeler electric vehicle applications. The converter enables forward power transfer during motoring and reverse power transfer during regenerative operation. The investigated system interfaces a 12 V battery with a 40 V DC side and employs a 1.36 mH inductor, 470 μF and 100 μF DC-side capacitors, and a switching frequency of 10 kHz. A conventional proportional-integral (PI) controller with (Kp=0.02) and (Ki=2) is considered as the baseline control approach. In the proposed MPC, the inductor current is selected as the primary controlled variable. A one-step prediction model estimates the future inductor current for candidate duty ratios ranging from 0 to 1 in increments of 0.05, and the optimal duty ratio is selected by minimizing the cost function, thereby balancing current reference tracking and control effort. The converter model is implemented in MATLAB/Simulink and evaluated under bidirectional operating conditions by applying a current-reference reversal from +6 A to −6 A at 5 s. The simulation results show that the inductor current follows the commanded positive and negative current references and that the corresponding gate commands adapt appropriately during the transition, demonstrating stable current regulation and controlled reversal of power-flow direction. Compared with conventional PI control, the MPC provides a prediction-based framework for regulating the bidirectional converter while explicitly optimizing current-reference tracking and control action. The results demonstrate the suitability of the proposed MPC strategy for current-controlled bidirectional power conversion in low-voltage electric two-wheeler applications.

Keywords
Model Predictive Control (MPC)
Bidirectional DC–DC Converter
Buck–Boost Converter
Electric Vehicle (EV)
Regenerative Braking.
A Low-Cost ESP32-Based Device for Real-Time Voltage Monitoring and Automatic Load Protection in Residential Electrical Installations
Isomonodromic Connections on Principal Bundles as a Framework for Robotic Control Systems