Papers

Name: Njoku, Judith Nkechinyere (20225053)

Date: 2023.03.27

Paper 1: Review of Digital Twin Models for Battery management Systems.
Target: IEEE Transactions on Intelligent Transportation Systems.


Paper 2: Multi-Feature Fusion for Speech Dependent Automatic Speaker Identification in Autonomous Vehicles.
Target: IEEE Transactions on Intelligent Vehicles.

Paper 3: Building a Metaverse for Transportation Systems: A Brief Review.
Target: ICUFN (Under review).

Paper 4: Model comparison and selection for NMC battery digital twin development using PyBaMM.
Target: JCCI (Under review).

Last Week's Progress

Paper 1: Finalizing paper related works, writing methodology approach.
Paper 2: No plans (Will commence working on reviewers comments in April)
Paper 3: Awaiting reviewers’ decision.
Paper 4: Completed and submitted paper.

This Week Todo's

Paper 1: Finalizing paper discussion on digital twins, writing methodology approach.
Paper 2: No plans (Will commence working on reviewers comments in April)
Paper 3: Awaiting reviewers’ decision.
Paper 4: Awaiting reviewers’ decision.

Project Progress

Metaverse and Digital Twin Assisted Battery Pack Management

Last Week's Project

1.Updated review paper for Phase 1.
2.Completed writing and submitted JCCI paper.
3.Surveying the book ‘Digital Twin development and deployment on the cloud’ by Nassim Khaled, Bibin Pattel, et al.
4.Successfully developed a battery pack in MATLAB Simulink with outputs of battery SoC, Voltage and Current.
5.Studying the communication between Simulink and UnrealEngine. Found a plugin that will be useful for sending and receiving data.
6. Continuous guide of project members on Phase 2 of the Project.

This Week's Project

1.Finalize and submit review paper.
2.Develop a parameter identification algorithm and SoC algorithm for Simulink battery pack.
3.Try to send data from Simulink to UnrealEngine.
4.Continue guiding project members.

Monthly Goals

1.Complete survey paper
2.Complete one domestic conference paper (Done)
3.Complete course on “Introduction to Battery Management Systems”.
4.Study at least 70% of Unreal Engine course

Annual Goals

1.Master Digital Twin development tools.
2.Complete at least Three Journal Papers.
3.Attend at least three Domestic Conference.
4.Attend at least two International Conferences.
5.Build a Digital twin for Battery systems.
6.Build an ensemble Model for virtual assistants in the Metaverse/Autonomous vehicles.


2023 Goals Achieved

International Journal
1.IET Intelligent Transportation Systems Journal (Volume 17, Issue 1, January 2023)

International Conference
1.ICTC 2022
2.APCC 2022

Domestic Conference
1.KICS Winter 2022
2.KICS Summer 2022
3.KICS Fall 2022