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Widanalage Dhammika Widanage

Widanalage Dhammika Widanage

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
35
Citations
5760
World Ranking
5513
National Ranking
280

Overview

Widanalage Dhammika Widanage is affiliated with the University of Warwick in the United Kingdom and focuses primarily on engineering research, with a specialization in electrical and electronic engineering. Their scholarly contributions encompass a broad range of topics related to battery technologies and related engineering disciplines.

The main research topics covered by Widanage include:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Fault Detection and Control Systems
  • Electric Vehicles and Infrastructure
  • Extraction and Separation Processes
  • Reliability and Maintenance Optimization

The scientist's work has a significant emphasis on lithium-ion batteries, battery aging, and prediction methodologies. Selected recent papers demonstrate the focus and scope of their research:

  • "A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery" (2020), published in IEEE Transactions on Industrial Electronics
  • "Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models" (2020), published in Journal of The Electrochemical Society
  • "Battery digital twins: Perspectives on the fusion of models, data and artificial intelligence for smart battery management systems" (2020), published in Energy and AI
  • "Theory of battery ageing in a lithium-ion battery: Capacity fade, nonlinear ageing and lifetime prediction" (2020), published in Journal of Power Sources
  • "Model Migration Neural Network for Predicting Battery Aging Trajectories" (2020), published in IEEE Transactions on Transportation Electrification

Widanage frequently publishes in the following venues:

  • Journal of Energy Storage
  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • ECS Meeting Abstracts
  • Zenodo (CERN European Organization for Nuclear Research)

The scientist collaborates regularly with a number of other researchers, indicating a collaborative approach within the battery and energy research community. Frequent co-authors include:

  • Ferran Brosa Planella
  • James Marco
  • Emma Kendrick
  • Kailong Liu
  • Kieran O'Regan

Widanalage Dhammika Widanage's research contributions relate closely to advancing experimental techniques, integrating artificial intelligence in battery management, and enhancing understanding of battery aging and reliability. Their work spans interdisciplinary subfields such as automotive engineering, control and systems engineering, mechanical engineering, and risk and quality management within engineering.

Best Publications

  • A Data-Driven Approach With Uncertainty Quantification for Predicting Future Capacities and Remaining Useful Life of Lithium-ion Battery

    Kailong Liu;Yunlong Shang;Quan Ouyang;Widanalage Dhammika Widanage

  • A Comparison between Electrochemical Impedance Spectroscopy and Incremental Capacity-Differential Voltage as Li-ion Diagnostic Techniques to Identify and Quantify the Effects of Degradation Modes within Battery Management Systems

    Carlos Pastor-Fernández;Kotub Uddin;Gael H. Chouchelamane;W. Dhammika Widanage

  • Gaussian Process Regression With Automatic Relevance Determination Kernel for Calendar Aging Prediction of Lithium-Ion Batteries

    Kailong Liu;Yi Li;Xiaosong Hu;Mattin Lucu

  • On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system

    Kotub Uddin;Tim Jackson;Widanalage Dhammika Widanage;Gael Chouchelamane

  • A study of the open circuit voltage characterization technique and hysteresis assessment of lithium-ion cells

    Anup Barai;W. Dhammika Widanage;James Marco;Andrew McGordon

  • Characterising Lithium-Ion Battery Degradation through the Identification and Tracking of Electrochemical Battery Model Parameters

    Kotub Uddin;Surak Perera;Widanalage Dhammika Widanage;Limhi Somerville

  • Critical review of non-invasive diagnosis techniques for quantification of degradation modes in lithium-ion batteries

    Carlos Pastor-Fernández;Tung Fai Yu;W. Dhammika Widanage;James Marco

  • A Study of Cell-to-Cell Interactions and Degradation in Parallel Strings: Implications for the Battery Management System

    Carlos Pastor-Fernandez;Thomas Bruen;Widanalage Dhammika Widanage;Miguel-Angel Gama-Valdez

  • Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

    Kailong Liu;Xiaosong Hu;Huiyu Zhou;Lei Tong

  • An evaluation study of different modelling techniques for calendar ageing prediction of lithium-ion batteries

    Kailong Liu;T.R. Ashwin;Xiaosong Hu;Mattin Lucu

  • A new approach to the internal thermal management of cylindrical battery cells for automotive applications

    Daniel Worwood;Quirin Kellner;Malgorzata Wojtala;Widanalage Dhammika Widanage

  • Recovering large-scale battery aging dataset with machine learning.

    Xiaopeng Tang;Kailong Liu;Kang Li;Widanalage Dhammika Widanage

  • Battery energy storage system modeling : investigation of intrinsic cell-to-cell variations

    Matthieu Dubarry;Carlos Pastor-Fernández;George Baure;Tung Fai Yu

  • Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 2 : model estimation

    Widanalage Dhammika Widanage;Anup Barai;G.H. Chouchelamane;Kotub Uddin

  • Real-time aging trajectory prediction using a base model-oriented gradient-correction particle filter for Lithium-ion batteries

    Xiaopeng Tang;Kailong Liu;Xin Wang;Boyang Liu

  • Design and use of multisine signals for Li-ion battery equivalent circuit modelling. Part 1: Signal design

    Widanalage Dhammika Widanage;Anup Barai;G. H. Chouchelamane;Kotub Uddin

  • Lithium-ion battery cathode and anode potential observer based on reduced-order electrochemical single particle model

    Liuying Li;Yaxing Ren;Kieran O'Regan;Upender Rao Koleti

  • A study of reduced battery degradation through state-of-charge pre-conditioning for vehicle-to-grid operations

    Truong Minh Ngoc Bui;Muhammad Sheikh;Quang Truong Dinh;Aniruddha Gupta

  • Multi-scale quantification and modeling of aged nanostructured silicon-based composite anodes

    Thomas Vorauer;Praveen Kumar;Christopher L. Berhaut;Fereshteh F. Chamasemani

  • Battery cycle life test development for high-performance electric vehicle applications

    Quirin Kellner;Elham Hosseinzadeh;Gael Chouchelamane;Widanalage Dhammika Widanage

  • Nonlinear system-identification of the filling phase of a wet-clutch system

    W.D. Widanage;J. Stoev;A. Van Mulders;J. Schoukens

Frequent Co-Authors

Emma Kendrick
Emma Kendrick University of Birmingham
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Noshin Omar
Noshin Omar Vrije Universiteit Brussel
Furong Gao
Furong Gao Hong Kong University of Science and Technology
Truong Quang Dinh
Truong Quang Dinh University of Warwick
Paul R. Shearing
Paul R. Shearing University College London
Yunlong Shang
Yunlong Shang Shandong University
Dan J. L. Brett
Dan J. L. Brett University College London
Xiaosong Hu
Xiaosong Hu Chongqing University

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