Truong Minh Ngoc Bui

Assistant Professor

University of Warwick

United Kingdom

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Truong Minh Ngoc Bui is an Assistant Professor at the University of Warwick, located in the United Kingdom. His research interests focus on electric vehicles, battery management, and the optimization of energy systems. Recent contributions include studies on electric motorcycle applications, battery ageing, and strategies for improving the performance and efficiency of lithium-ion batteries.

Articles (11)

Year:

2025

Year:

2024

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2022

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2021

Year:

2021

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2021

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2021

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2021

Year:

2021

Year:

2021

Year:

2020

Collaborators (4)

Mona Faraji-Niri

Assistant Professor

University of Warwick

UNITED KINGDOM

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Truong Quang Dinh

Associate Professor

University of Warwick

UNITED KINGDOM

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Andrzej Kubik

Silesian University of Technology

POLAND

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Katarzyna Turoń

POLAND

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Truong Minh Ngoc Bui

Research Interests

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About

Articles (11)

The Role of Technical Car Features in Managing and Promoting New Peer-to-Peer Car-Sharing Systems: Insights from Potential Users and Strategic Implications for Service Providers

Real-Time Prediction of Remaining Driving Range for Electric Motorcycle Applications

Baseline Strategy for Remaining Range Estimation of Electric Motorcycle Applications

A Study on Electric Vehicle Battery Ageing Through Smart Charge and Vehicle-to-Grid Operation

Optimal control of bidirectional active clamp forward converter with synchronous rectifier based cell-to-external-storage active balancing system

State of Power Prediction for Lithium-Ion Batteries in Electric Vehicles via Wavelet-Markov Load Analysis

State of Power Prediction for Lithium-Ion Batteries in Electric Vehicles via Wavelet-Markov Load Analysis

Development and Real-Time Performance Evaluation of Energy Management Strategy for a Dynamic Positioning Hybrid Electric Marine Vessel

A Study of Reduced Battery Degradation Through State-of-Charge Pre-Conditioning for Vehicle-to-Grid Operations

The Development of Optimal Charging Protocols for Lithium-Ion Batteries to Reduce Lithium Plating

Remaining energy estimation for lithium-ion batteries via Gaussian mixture and Markov models for future load prediction

Collaborators (4)

Mona Faraji-Niri

Truong Quang Dinh

Andrzej Kubik

Katarzyna Turoń

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