A thorough review of energy management and an advanced control techniques for Bi-directional DC-DC converters in electric vehicle applications

• Battery charging, regenerative braking, voltage management, and sophisticated functions like V2G and G2V are all made possible by bi-directional DC-DC converters, which support sustainable electric transportation. • Analysing the advantages and disadvantages of each approach helps choose the best tactics for dynamic EV applications. • The idea is to develop a new hybrid control system that combines machine learning and conventional methods. • The utilization of cutting-edge materials like SiC and GaN for enhanced performance and efficiency is highlighted, along with small, high-density converter designs specifically made for EVs. Bi-directional DC-DC converters are essential components in electric vehicles (EVs), facilitating efficient power transfer between the battery and the motor for key operations such as voltage regulation, energy recovery during braking (regenerative braking), and battery charging. This review analyses prominent control strategies employed for these converters, including Sliding Mode Control (SMC), Model Predictive Control (MPC), and Predictive Function Control (PFC), considering their respective merits and drawbacks under diverse operating conditions. The study highlights the significance of adaptable and high-performing control systems for managing the dynamic behaviour of EV powertrains. It also investigates how bidirectional converters optimize regenerative braking to extend driving range and enable vehicle-to-grid (V2G) capabilities, which contribute to grid stability. Furthermore, the review proposes a new hybrid control architecture that combines traditional control methods with machine learning to enhance system adaptability and overall effectiveness. Ultimately, this review summarizes recent advancements, emerging trends, and potential future research areas in bidirectional DC-DC converter control for EVs, aiming to contribute to the development of more efficient, dependable, and environmentally friendly electric mobility solutions.

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Institutions

Publication Details

Journal
Results in Engineering
Published
2025-08-12
DOI
https://doi.org/10.1016/j.rineng.2025.106726
Citations
4
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
2.73

Funders

Controls
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article

A thorough review of energy management and an advanced control techniques for Bi-directional DC-DC converters in electric vehicle applications

Chittathuru Dhanamjayulu, A. Uday Keerthi
4 citations
Results in Engineering
Advanced Battery Technologies Research
2.73
article

A thorough review of energy management and an advanced control techniques for Bi-directional DC-DC converters in electric vehicle applications

Chittathuru Dhanamjayulu, A. Uday Keerthi
article en
4 citations

Abstract

• Battery charging, regenerative braking, voltage management, and sophisticated functions like V2G and G2V are all made possible by bi-directional DC-DC converters, which support sustainable electric transportation. • Analysing the advantages and disadvantages of each approach helps choose the best tactics for dynamic EV applications. • The idea is to develop a new hybrid control system that combines machine learning and conventional methods. • The utilization of cutting-edge materials like SiC and GaN for enhanced performance and efficiency is highlighted, along with small, high-density converter designs specifically made for EVs. Bi-directional DC-DC converters are essential components in electric vehicles (EVs), facilitating efficient power transfer between the battery and the motor for key operations such as voltage regulation, energy recovery during braking (regenerative braking), and battery charging. This review analyses prominent control strategies employed for these converters, including Sliding Mode Control (SMC), Model Predictive Control (MPC), and Predictive Function Control (PFC), considering their respective merits and drawbacks under diverse operating conditions. The study highlights the significance of adaptable and high-performing control systems for managing the dynamic behaviour of EV powertrains. It also investigates how bidirectional converters optimize regenerative braking to extend driving range and enable vehicle-to-grid (V2G) capabilities, which contribute to grid stability. Furthermore, the review proposes a new hybrid control architecture that combines traditional control methods with machine learning to enhance system adaptability and overall effectiveness. Ultimately, this review summarizes recent advancements, emerging trends, and potential future research areas in bidirectional DC-DC converter control for EVs, aiming to contribute to the development of more efficient, dependable, and environmentally friendly electric mobility solutions.

Results in EngineeringVol. 27
Vellore Institute of Technology University (IN)
VIT University
Affordable and clean energy
Openalex Percentile: Top 9%
Advanced Battery Technologies Research
2.73
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