Bảo-Huy's website

Research

Research Vision

My research is positioned at the intersection of control engineering, electrified transportation, power electronics, and modern power systems. I focus on developing control-oriented models, advanced control strategies, optimal energy management algorithms, and simulation/HIL platforms for energy systems with high penetration of power electronics, electric vehicles, renewable energy resources, and distributed energy storage.

A central objective of my work is to use control engineering as a unifying methodological foundation to address the modeling, optimization, stability, and real-time implementation challenges of the energy transition. My research activities are organized around four flagship themes.

Control-Oriented Modeling and Control of Electrified Transportation Systems

This research theme focuses on the control-oriented modeling, dynamic analysis, and control design of electric and hybrid vehicles. Particular attention is paid to multi-motor powertrains, traction motor drives, inverter-fed propulsion systems, tire-road interaction, vehicle longitudinal dynamics, and high-performance control architectures for electrified mobility.

The long-term goal is to develop physically meaningful models and control strategies that improve vehicle efficiency, drivability, stability, safety, and real-time implementability under realistic operating conditions.

Optimal Control and Energy Management for Hybrid Energy Storage Systems

This research theme addresses optimal control and real-time energy management for electric vehicles, hybrid electric vehicles, microgrids, and energy systems equipped with multiple energy sources. I am particularly interested in battery/supercapacitor hybrid energy storage systems, dual-source electric vehicles, Pontryagin’s minimum principle, dynamic programming, model predictive control, sliding-mode energy management, and learning-assisted prediction.

The objective is to develop energy management strategies that are not only mathematically optimal or near-optimal, but also implementable in embedded controllers and robust under uncertain operating conditions.

Control and Stability of Inverter-Based Power Systems

This research theme focuses on the modeling, control, and stability analysis of modern power systems with high penetration of inverter-based resources, including renewable energy, battery energy storage systems, electric vehicles, and power-electronics-interfaced loads. My work covers grid-following and grid-forming inverter control, small-signal stability analysis, frequency response, inertia estimation, oscillation source localization, and stability enhancement of power systems dominated by power electronics.

The main goal is to contribute control engineering methods and analysis tools for future power systems where conventional synchronous machines are increasingly replaced or complemented by inverter-based resources.

Digital Simulation, Hardware-in-the-Loop, and Control Validation Tools for Energy Transition

This research theme aims to develop simulation, validation, and hardware-in-the-loop methodologies for electrified transportation and modern power systems. It connects energetic macroscopic representation, multi-domain modeling, real-time simulation, reduced-scale experimental platforms, power HIL, and open-source simulation tools.

The long-term ambition is to build transparent, extensible, and reproducible platforms for control design, controller validation, real-time implementation, and experimental benchmarking in electric vehicles, power electronics, energy storage, microgrids, and inverter-based power systems.

Cross-Cutting Methodology: Advanced Modeling and Control Engineering for Energy Transition

Across these research themes, advanced modeling and control engineering provides the core methodological foundation of my work. The common technical thread is the development of physically meaningful models, control-oriented representations, optimization algorithms, and validation platforms that connect system dynamics with real-time decision making and controller implementation.

My research combines:

This integrated perspective allows advanced modeling, control design, optimization, stability analysis, and experimental validation to be applied coherently across electrified transportation, hybrid energy storage systems, inverter-based power systems, and digital simulation platforms.

Projects

Focusing on targets. Many times failed. But at least we tried.

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