D Mahinda Vilathgamuwa

D Mahinda Vilathgamuwa

Queensland University of Technology

H-index: 63

Oceania-Australia

About D Mahinda Vilathgamuwa

D Mahinda Vilathgamuwa, With an exceptional h-index of 63 and a recent h-index of 40 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of wireless power, battery storage, power electronics, renewable energy, battery modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Data-Driven Linear Quadratic Regulator for an Interleaved DC/DC Boost Converter

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

Aggregator-Driven Novel Battery Scheduling: Orchestrating Demand in a Grid Dominated by Distributed Photovoltaics and Electric Vehicles

Robust Maximum Efficiency Tracking Control of Wirelessly Powered Directly Supplied Heart Pumps

Optimal Scheduling of Electric Vehicles in Vehicle-to-Grid System with Battery Energy Storage for Cost-Efficient Integration of Distributed Photovoltaics

Physics-based model predictive control for power capability estimation of lithium-ion batteries

High transformer utilization ratio and high voltage conversion gain flyback converter for photovoltaic application

Ensemble nonlinear model predictive control for residential solar battery energy management

D Mahinda Vilathgamuwa Information

University

Queensland University of Technology

Position

Professor

Citations(all)

16472

Citations(since 2020)

5256

Cited By

13622

hIndex(all)

63

hIndex(since 2020)

40

i10Index(all)

188

i10Index(since 2020)

118

Email

University Profile Page

Queensland University of Technology

D Mahinda Vilathgamuwa Skills & Research Interests

wireless power

battery storage

power electronics

renewable energy

battery modelling

Top articles of D Mahinda Vilathgamuwa

A Novel Data-Driven Linear Quadratic Regulator for an Interleaved DC/DC Boost Converter

Authors

Tianhao Qie,Xinan Zhang,Jianguo Zhu,Mahinda Vilathgamuwa,Herbert Ho Ching Iu,Tyrone Fernando

Journal

IEEE Transactions on Power Electronics

Published Date

2024/2/16

This article proposes a novel data-driven linear quadratic regulator for an interleaved boost dc/dc converter. The proposed method utilizes policy iteration and a simple fixed weight recurrent neuron network to simultaneously achieve model independent control and autonomous online optimal control gain update. Compared to the existing model-based control approaches, the proposed method is totally model free. In addition, the proposed method updates the neural network without any offline pretraining, which is a key advantage for industrial applications. The experimental results, which are obtained using the Texas Instrument C2000 series digital signal processor, are presented to demonstrate the effectiveness of the proposed method.

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

Authors

Amir Taghvaie,T Warnakulasuriya,Dinesh Kumar,Firuz Zare,Rahul Sharma,D Mahinda Vilathgamuwa

Published Date

2023/3/22

Modern industrial and commercial devices that are fed by power electronics circuits and behave text non-linearly tend to produce power quality issues in power systems including harmonics and interharmonics, swell, flicker, spikes, notches, and transient instabilities. Among them, harmonic emission is the most significant challenge to be overcome by the distribution networks. Unwanted current, overheating motors and transformers, equipment failure, and circuit breaker misoperation are some of the harmonic consequences. While it is important to employ the best methods to mitigate or suppress the harmonic distortions in power systems, it is even more essential to estimate these harmonics at the outset by developing smart, efficient, and accurate techniques. Due to their capability for learning, predicting, and identifying, researchers have turned to Artificial Intelligence technologies for harmonic estimation in …

Aggregator-Driven Novel Battery Scheduling: Orchestrating Demand in a Grid Dominated by Distributed Photovoltaics and Electric Vehicles

Authors

Gihan Denagama Vitharanage,D Mahinda Vilathgamuwa,Yateendra Mishra,Paul Cory

Published Date

2023/12/3

This paper presents a novel methodology to schedule community-level aggregator-controlled battery energy storage (BESS) to counteract the variability of distributed photovoltaic (D-PV) generation and electric vehicle (EV) demand. There is an increasing need to address the variability introduced by D-PV and EV adoption. This variability can lead to challenges like increased operation complexities and reduced efficiency of power distribution. This paper introduces a novel BESS scheduling approach tailored for community-level aggregators. The goal is to shape the grid operator’s demand profile, achieving valley filling and peak shaving without compromising operational costs. The scheduling algorithm is a convex optimisation problem, which was solved using the interior point method to intelligently decide the charging and discharging rate at each time interval. Simulator tests show significant cost reductions of …

Robust Maximum Efficiency Tracking Control of Wirelessly Powered Directly Supplied Heart Pumps

Authors

Amir Hakemi,Dejan Jovanovic,Mahinda Vilathgamuwa,Geoffrey R Walker

Journal

Energies

Published Date

2023/2/3

In recent times, wireless power transfer systems have been identified as a reliable option to supply power to medical implants. Up to now, Wireless Power Transfer Systems (WPTS) have only been used to charge batteries of low-power medical implants. However, for medical implants requiring a relatively higher power, such as a ventricular assist device, which is an implanted blood pump in the patient’s abdominal cavity, an external power supply has been used. When WPTS is used for medical implants, it increases the number of required power converter stages and hardware complexity along with the volume, which tends to reduce the overall efficiency. In addition, the existence of uncertainties in WPTS-based medical implants, such as load and mutual inductance variations, can lead to system instability or poor performance. The focus of this paper is to design a WPTS to supply power to the pump motor directly through its inverter based on the requirements of the motor drive system (MDS) without resorting to an additional DC-to-DC converter stage. To this end, the constraints that the drive system imposes upon WPTS have been identified. In addition, to make a reliable closed-loop operation, a µ-synthesis robust controller is designed to make sure the system maintains its stability and performance with respect to the system’s existing uncertainties. A number of experimental results are provided to verify the effectiveness of the adopted WPTS design approach and the corresponding closed-loop controller for WPTS. Furthermore, the experimental findings for the maximum efficiency tracking (MET) approach (to minimize WPTS coil losses) and …

Optimal Scheduling of Electric Vehicles in Vehicle-to-Grid System with Battery Energy Storage for Cost-Efficient Integration of Distributed Photovoltaics

Authors

Gihan Denagama Vitharanage,Mahinda Vilathgamuwa,Yateendra Mishra,Paul Cory

Published Date

2023/11/26

This research focuses on the development of an optimisation framework for scheduling Electric Vehicles (EVs) in Vehicle-to-Grid (V2G) systems, considering the presence of substantial distributed photovoltaic (D-PV) presence in the network. A novel approach is introduced wherein EVs, and Battery Energy Storage Systems (BESS) are synergistically utilised. This dual optimisation ensures the BESS not only absorbs excess renewable energy but also seamlessly integrates EVs, leading to considerable cost efficiencies for aggregators. Utilising V2G capabilities and BESS storage, the proposed scheduling system dynamically manages EV charging and discharging. The design maximises local PV utilisation, lowers peak loads, and reduces grid dependency during high renewable time by intelligently coordinating EV activities. Simulator tests show significant cost reductions, the flexibility of EV adaptation, and …

Physics-based model predictive control for power capability estimation of lithium-ion batteries

Authors

Yang Li,Zhongbao Wei,Changjun Xie,D Mahinda Vilathgamuwa

Journal

IEEE Transactions on Industrial Informatics

Published Date

2023/2/2

The power capability of a lithium-ion battery signifies its capacity to continuously supply or absorb energy within a given time period. For an electrified vehicle, knowing this information is critical to determining control strategies such as acceleration, power split, and regenerative braking. Unfortunately, such an indicator cannot be directly measured and is usually challenging to be inferred for today's high-energy type of batteries with thicker electrodes. In this work, we propose a novel physics-based battery power capability estimation method to prevent the battery from moving into harmful situations during its operation for its health and safety. The method incorporates a high-fidelity electrochemical-thermal battery model, with which not only the external limitations on current, voltage, and power but also the internal constraints on lithium plating and thermal runaway, can be readily taken into account. The online …

High transformer utilization ratio and high voltage conversion gain flyback converter for photovoltaic application

Authors

Binxin Zhu,Yujin Yang,Kaihong Wang,Jiaxin Liu,D Mahinda Vilathgamuwa

Journal

IEEE Transactions on Industry Applications

Published Date

2023/8/31

A flyback converter with a high transformer utilization ratio and high voltage conversion gain for photovoltaic application is proposed in this paper. By adding the “coat circuit” to the topology of the basic flyback converter, the energy can be transferred from the primary winding of the transformer (Tp) to the secondary winding of the transformer (Ts) when the switch is working not only in off-state but also in on-state, which effectively improves the utilization, reduces the maximum electromagnetic flux density of the transformer during charging, and avoids the saturation of the transformer. Additionally, the “coat circuit” can also increase the voltage conversion gain of the flyback converter and reduce the voltage stress of devices, making the proposed converter attractive for photovoltaic power systems. This paper analyzes in detail the working principles and performances of the proposed converter. The theoretical analysis …

Ensemble nonlinear model predictive control for residential solar battery energy management

Authors

Yang Li,D Mahinda Vilathgamuwa,Daniel E Quevedo,Chih Feng Lee,Changfu Zou

Journal

IEEE Transactions on Control Systems Technology

Published Date

2023/9

In a dynamic distribution market environment, residential prosumers with solar power generation and battery energy storage devices can flexibly interact with the power grid via power exchange. Providing a schedule for this bidirectional power dispatch can facilitate the operational planning for the grid operator and bring additional benefits to the prosumers with some economic incentives. However, the major obstacle to achieving this win–win situation is the difficulty in: 1) predicting the nonlinear behaviors of battery degradation under unknown operating conditions and 2) addressing the highly uncertain generation/load patterns, in a computationally viable way. This article thus establishes a robust short-term dispatch framework for residential prosumers equipped with rooftop solar photovoltaic (PV) panels and household batteries. The objective is to achieve the minimum-cost operation under the dynamic …

Degradation-Conscious Multiobjective Optimal Control of Reconfigurable Li-Ion Battery Energy Storage Systems

Authors

Dulmini Karunathilake,Mahinda Vilathgamuwa,Yateendra Mishra,Paul Corry,Troy Farrell,San Shing Choi

Journal

Batteries

Published Date

2023/4/4

Lithium-ion battery energy storage systems are made from sets of battery packs that are connected in series and parallel combinations depending on the application’s needs for power. To achieve optimal control, advanced battery management systems (ABMSs) with health-conscious optimal control are required for highly dynamic applications where safe operation, extended battery life, and maximum performance are critical requirements. The majority of earlier research assumed that the battery cells in these energy storage systems were identical and would vary uniformly over time in terms of cell characteristics. However, in real-world situations, the battery cells might behave differently for a number of reasons. Overcharging and over-discharging are caused by an electrical imbalance that results from the cells’ differences in properties and capacity. Therefore in this study, a stratified real-time control scheme was developed for the dual purposes of minimizing the capacity fade and the energy losses of a battery pack. Each of the cells in the pack is represented by a degradation-conscious physics-based reduced-order equivalent circuit model. In view of the inconsistencies between cells, the proposed control scheme uses a state estimator such that the parametric values of the circuit elements in the cell model are determined and updated in a decentralized manner. The minimization of the capacity fade and energy losses is then formulated as a multiobjective optimization problem, from which the resulting optimal control strategy is realized through the switching actions of a modular multilevel series-parallel converter which interconnects the battery …

Nelder-Mead Simplex Algorithm for Age-dependent Parameter Estimation of a Lithium-ion Electrochemical Battery Model

Authors

Jesse Madeley,Dulmini Karunathilake,Mahinda Vilathgamuwa,Yateendra Mishra,Paul Corry,Troy Farrell

Published Date

2022/12/5

The proliferation and prevalence of lithium ion batteries has produced a surge in research into electrochemical cell models and the identification of specific unknown cell parameters. Accordingly, optimization methods have become an area of intense investigation for their inherent ability to search problem spaces for model parameters. With the ability to calculate lithium ion cell properties in real time, Battery Management Systems (BMS) would exhibit vast improvements in decision making for prolonging batteries' life span and increasing efficient charging/discharging. The paper analyses the use of Nelder-Mead Simplex algorithm for identifying three age-dependent parameters of a electrochemical cell model. Results indicate accurate parameter identification for simulation and ex-perimental environments. With real time voltage measurements, the applications such as electric vehicles and large power grid batteries …

Control of series-cascaded grid-forming microgrid configuration with a storage device

Authors

Khalil Saad A Algarny,Mahinda Vilathgamuwa,Mark Broadmeadow

Published Date

2022/12/5

With the increase of inverter-based energy resources in power grids, it is imperative that the frequency stability is maintained and inverters can be controlled to improve frequency damping by using grid-forming inverters (GFM). The microgrid that is formed by several DGs that are connected in series is called a series topology microgrid. The series topology with individual LC output filters benefits from utilizing lower and different dc-link voltages. One of the drawbacks in series topologies is that the series cascaded DG microgrids have rarely been discussed when it comes to a different configuration combinations of DGs such as dispatchable and non-dispatchable DGs. In this paper, a comprehensive study of series-cascaded microgrid configuration consisting of master and slave DGs with a storage device is done. The power circuit, control circuit, and results are shown.

A Novel High Step-up Converter for Photovoltaic Systems

Authors

Yu Liu,Binxin Zhu,Don Mahinda Vilathgamuwa,Jiaxin Liu,Shubo Zhi

Published Date

2022/12/5

A bipolar high step-up Cuk-Sepic converters based on the ‘coat circuit’ is proposed, which can be used to connect single photovoltaic (PV) panel and inverters. The main advantage of the proposed converter is that it contains only one active switch as the same as the Cuk or Sepic converter, so it is easy to drive and control. The ‘coat circuit’ is introduced to increase the voltage gain of the converter and reduce the voltage stress of the devices. In addition, the proposed converter can output equalized bipolar voltage with common ground. This paper introduces the working principle and performance analysis of the proposed converter in detail. In order to verify the correctness and validity of the theoretical analysis, a 266.7W experimental prototype has been built

MPC based dynamic voltage regulation using grid-side BESPS with the consideration of communication delay

Authors

Wei Feng,Chen Xuebing,Cao Shuyu,Soh Chew Beng,Cai Zhiqiang,Tseng King Jet,D Mahinda Vilathgamuwa

Journal

IEEE Transactions on Energy Conversion

Published Date

2022/12/12

Battery energy storage power stations (BESPS) play an important role in the power flow regulation in large-scaled micro-grids. It is proposed that the static Var compensator (SVC) be replaced by BESPS through activation of its dynamic voltage regulation (DVR) function so that the cost of SVC can be saved. An additional controller named energy storage coordination controller (ESCC) is needed to support the control algorithm of DVR and coordinate the individual battery energy storage system units. However, communication delay between the ESCC and the commercial BESS units is compounded by the difficulty of measuring the micro-grid (MG) bus voltage by ESCC. These issues should be considered in the design of the BESPS controller to avoid compromising the micro-grid operation. In this paper, we will be investigating model predictive control (MPC), Smith Predictor and PI based control schemes to deal …

Mobile-Energy-as-a-Service (MEaaS): sustainable Electromobility via integrated Energy–Transport–urban infrastructure

Authors

Mahinda Vilathgamuwa,Yateendra Mishra,Tan Yigitcanlar,Ashish Bhaskar,Clevo Wilson

Journal

Sustainability

Published Date

2022/2/27

The transport sector is one of the leading contributors of anthropogenic climate change. Particularly, internal combustion engine (ICE) dominancy coupled with heavy private motor vehicle dependency are among the main issues that need to be addressed immediately to mitigate climate change and to avoid consequential catastrophes. As a potential solution to this issue, electric vehicle (EV) technology has been put forward and is expected to replace a sizable portion of ICE vehicles in the coming decades. Provided that the source of electricity is renewable energy resources, it is expected that the wider uptake of EVs will positively contribute to the efforts in climate change mitigation. Nonetheless, wider EV uptake also comes with important issues that could challenge urban power systems. This perspective paper advocates system-level thinking to pinpoint and address the undesired externalities of EVs on our power grids. Given that it is possible to mobilize EV batteries to act as a source of mobile-energy supporting the power grid and the paper coins, and conceptualize a novel concept of Mobile-Energy-as-a-Service (MEaaS) for system-wide integration of energy, transport, and urban infrastructures for sustainable electromobility in cities. The results of this perspective include a discussion around the issues of measuring optimal real-time power grid operability for MEaaS, transport, power, and urban engineering aspects of MEaaS, flexible incentive-based price mechanisms for MEaaS, gauging the public acceptability of MEaaS based on its desired attributes, and directions for prospective research.

Power Capability Prediction of Lithium-Ion Batteries Using Physics-Based Model and NMPC

Authors

Yang Li,Zhongbao Wei,Mahinda Vilathgamuwa

Published Date

2022/12/9

A model-based battery power capability prediction method is reported to prevent the battery from moving into harmful situations during its operation for its health and safety. The method incorporates a high-fidelity electrochemical-thermal battery model, with which not only the external limitations on current, voltage, and power, but also the internal constraints such as lithium plating and thermal runaway, can be readily taken into account. The online prediction of maximum power is accomplished by formulating and successively solving a constrained nonlinear optimization problem. Due to the relatively high system order, high model nonlinearity, and long prediction horizon, an accurate and computationally efficient scheme based on nonlinear model predictive control is designed.

Control of Power in Dynamic Wireless Power Transfer Systems With the use of PWM-Synchronized Sampling Technique

Authors

Farzad Farajizadeh,Daniel Barth,D Mahinda Vilathgamuwa,Thomas Leibfried,Udaya K Madawala

Published Date

2021/5/24

In this article, with the use of a new technique of sampling, the transmission of power in a wireless power transfer system is controlled. The set-points of power to be controlled can be defined according to predefined tariffs or lookup tables. This technique can pave the way for the future use of the segmented wireless power transfer modules by making them more independent and controllable. In the proposed control technique, power is controlled in a simple feedback loop. The way of sampling, however, is novel, and it is carried out by taking samples synchronized by the power converter PWM signals. Therefore, with the use of this technique, one can control and stabilize the plant by taking the minimum possible samples from the plant. This technique is validated by simulations conducted in MATLAB/Siumulink and ANSYS/Maxwell.

Adaptive ensemble-based electrochemical–thermal degradation state estimation of lithium-ion batteries

Authors

Yang Li,Zhongbao Wei,Binyu Xiong,D Mahinda Vilathgamuwa

Journal

IEEE Transactions on Industrial Electronics

Published Date

2021/7/14

In this article, a computationally efficient state estimation method for lithium-ion (Li-ion) batteries is proposed based on a degradation-conscious high-fidelity electrochemical–thermal model for advanced battery management systems. The computational burden caused by the high-dimensional nonlinear nature of the battery model is effectively eased by adopting an ensemble-based state estimator using the singular evolutive interpolated Kalman filter (SEIKF). Unlike the existing schemes, it shows that the proposed algorithm intrinsically ensures mass conservation without imposing additional constraints, leading to a battery state estimator simple to tune and fast to converge. The model uncertainty caused by battery degradation and the measurement errors are properly addressed by the proposed scheme as it adaptively adjusts the error covariance matrices of the SEIKF. The performance of the proposed adaptive …

Analysis of Transcutaneous Communication Delays in a Wirelessly Powered Ventricular Assist Device

Authors

Shaetrun Pathmanathan,Amir Hakemibarabadi,Mahinda Vilathgamuwa

Published Date

2021/12/6

A growing heart failure population necessitates medical interventions beyond which waiting for transplants can provide. Ventricular Assist Devices (VAD) have proven a preliminarily successful bridging therapy until transplantation. Developments have enabled VADs as a destination therapy, potentially avoiding life threatening circumstances while on the transplant waiting list. The percutaneous driveline required to power, control and measure VAD performance threatens life extension premise with infections. Wireless power and data transfer proves a promising solution. To enable its demand flexibility, a feedback loop that can function despite implant environment complications, is required. This research explores the development and analysis of wireless power transfer assistive feedback communications, to reveal feedback loop delays caused by the implant environment and the hardware itself.Numerical …

Generic uncertainty parameter analysis and optimization of series–series wireless power transfer system for robust controller design

Authors

Amir Hakemi,Dejan Jovanovic,Don Mahinda Vilathgamuwa,Geoffrey R Walker,Jo Pauls

Journal

IEEE Transactions on Industrial Electronics

Published Date

2020

In a typical wireless power transfer (WPT) system, the load, the mutual inductance, and the required tuning frequency can vary in a particular range. Variation of each parameter can substantially impact the dynamic characteristics of the system. Thus, they can be considered as sources of uncertainty in the system. To address this, robust control methods such as μ-synthesis are developed to deal with possible system uncertainties. This article first undertakes the generic dynamic analysis of the series–series WPT compensation network for two modes of operation, i.e., constant output voltage (COV) mode and constant output current (COC) mode, in the presence of three aforementioned uncertainty sources. Subsequently, the frequency detuning as a function of the compensation capacitor variation is explored and broadened as a technique to obtain the optimized compensation capacitor value that can lead to a plant …

A trusted and privacy-preserving internet of mobile energy

Authors

Raja Jurdak,Ali Dorri,Mahinda Vilathgamuwa

Journal

IEEE Communications Magazine

Published Date

2021/6

The rapid growth in distributed energy sources on power grids leads to increasingly decentralized energy management systems for the prediction of power supply and demand and the dynamic setting of an energy price signal. Within this emerging smart grid paradigm, electric vehicles can serve as consumers, transporters, and providers of energy through two-way charging stations, which highlights a critical feedback loop between the movement patterns of these vehicles and the state of the energy grid. This article proposes a vision for an Internet of Mobile Energy (IoME), where energy and information flow seamlessly across the power and transport sectors to enhance the grid stability and end-user welfare. We identify the key challenges of trust, scalability, and privacy, particularly location and energy linking privacy for EV owners, for realizing the IoME vision. We propose an information architecture for IoME that …

See List of Professors in D Mahinda Vilathgamuwa University(Queensland University of Technology)

D Mahinda Vilathgamuwa FAQs

What is D Mahinda Vilathgamuwa's h-index at Queensland University of Technology?

The h-index of D Mahinda Vilathgamuwa has been 40 since 2020 and 63 in total.

What are D Mahinda Vilathgamuwa's top articles?

The articles with the titles of

A Novel Data-Driven Linear Quadratic Regulator for an Interleaved DC/DC Boost Converter

A Comprehensive Review of Harmonic Issues and Estimation Techniques in Power System Networks Based on Traditional and Artificial Intelligence/Machine Learning

Aggregator-Driven Novel Battery Scheduling: Orchestrating Demand in a Grid Dominated by Distributed Photovoltaics and Electric Vehicles

Robust Maximum Efficiency Tracking Control of Wirelessly Powered Directly Supplied Heart Pumps

Optimal Scheduling of Electric Vehicles in Vehicle-to-Grid System with Battery Energy Storage for Cost-Efficient Integration of Distributed Photovoltaics

Physics-based model predictive control for power capability estimation of lithium-ion batteries

High transformer utilization ratio and high voltage conversion gain flyback converter for photovoltaic application

Ensemble nonlinear model predictive control for residential solar battery energy management

...

are the top articles of D Mahinda Vilathgamuwa at Queensland University of Technology.

What are D Mahinda Vilathgamuwa's research interests?

The research interests of D Mahinda Vilathgamuwa are: wireless power, battery storage, power electronics, renewable energy, battery modelling

What is D Mahinda Vilathgamuwa's total number of citations?

D Mahinda Vilathgamuwa has 16,472 citations in total.

What are the co-authors of D Mahinda Vilathgamuwa?

The co-authors of D Mahinda Vilathgamuwa are Frede Blaabjerg, Remus Teodorescu, Yunwei Ryan Li, King Jet Tseng, Feng Gao, Udaya Madawala.

    Co-Authors

    H-index: 197
    Frede Blaabjerg

    Frede Blaabjerg

    Aalborg Universitet

    H-index: 104
    Remus Teodorescu

    Remus Teodorescu

    Aalborg Universitet

    H-index: 70
    Yunwei Ryan Li

    Yunwei Ryan Li

    University of Alberta

    H-index: 54
    King Jet Tseng

    King Jet Tseng

    Singapore Institute of Technology

    H-index: 46
    Feng Gao

    Feng Gao

    Shandong University

    H-index: 45
    Udaya Madawala

    Udaya Madawala

    University of Auckland

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