Lim, Kai

Lim, Kai Dr.

Research Fellow

Research Fellow - Institute for Superconducting and Electronic Materials

kclim@uow.edu.au

Overview

Dr. Lim received Ph.D. degree in electrical & electronics engineering from the University of Wollongong, Australia in 2017. He is currently a research fellow at the Australian Institute of Innovative Materials at University of Wollongong, Australia.

Research Areas

Research Overview

Dr. Lim's research interests include battery management and telemetry systems design for automobile applications.

Geographic Focus

Australia, Aotearoa New Zealand, and the Asia Pacific Continent

Selected Publications

Journal Article

Year	Title
2020	Charge-Based Self-Equalization for Imbalance Battery Pack in an Energy Storage Management System: Developing a Time-Based Equalization Algorithm Published In IEEE Consumer Electronics Magazine
2019	Charge-Based Self-Equalization for Imbalance Battery Pack in an Energy Storage Management System: Developing a Time-Based Equalization Algorithm Published In IEEE Consumer Electronics Magazine
2017	Targeted Oxygen in the Resuscitation of Preterm Infants, a Randomized Clinical Trial Published In Pediatrics
2016	Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles Published In Applied Energy
2015	Online state of charge and model parameters estimation of the LiFePO4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares Published In Journal of Power Sources

Conference Paper

Year	Title
2017	An energy storage integrated dual-input PV system with distributed maximum power point tracking Published In Industrial Electronics Society , IECON 2017 - 43rd Annual Conference of the IEEE
2017	Analysis of the non-inverting buck-boost converter with four-mode control method Published In Industrial Electronics Society , IECON 2017 - 43rd Annual Conference of the IEEE
2014	Online SoC estimation of lithium ion battery for EV/BEV using Kalman filter with fading memory Published In 2014 IEEE 3rd Global Conference on Consumer Electronics
2014	SOC estimation for LiFePO4 battery in EVs using recursive least-squares with multiple adaptive forgetting factors Published In Connected Vehicles and Expo (ICCVE), 2014 International Conference on

Orcid Id

http://orcid.org/0000-0001-5140-8821 (confirmed)

Research Areas

Research Overview

Dr. Lim's research interests include battery management and telemetry systems design for automobile applications.

Geographic Focus

Australia, Aotearoa New Zealand, and the Asia Pacific Continent

Selected Publications

Journal Article

Year	Title
2020	Charge-Based Self-Equalization for Imbalance Battery Pack in an Energy Storage Management System: Developing a Time-Based Equalization Algorithm Published In IEEE Consumer Electronics Magazine
2019	Charge-Based Self-Equalization for Imbalance Battery Pack in an Energy Storage Management System: Developing a Time-Based Equalization Algorithm Published In IEEE Consumer Electronics Magazine
2017	Targeted Oxygen in the Resuscitation of Preterm Infants, a Randomized Clinical Trial Published In Pediatrics
2016	Fading Kalman filter-based real-time state of charge estimation in LiFePO4 battery-powered electric vehicles Published In Applied Energy
2015	Online state of charge and model parameters estimation of the LiFePO4 battery in electric vehicles using multiple adaptive forgetting factors recursive least-squares Published In Journal of Power Sources

Conference Paper

Year	Title
2017	An energy storage integrated dual-input PV system with distributed maximum power point tracking Published In Industrial Electronics Society , IECON 2017 - 43rd Annual Conference of the IEEE
2017	Analysis of the non-inverting buck-boost converter with four-mode control method Published In Industrial Electronics Society , IECON 2017 - 43rd Annual Conference of the IEEE
2014	Online SoC estimation of lithium ion battery for EV/BEV using Kalman filter with fading memory Published In 2014 IEEE 3rd Global Conference on Consumer Electronics
2014	SOC estimation for LiFePO4 battery in EVs using recursive least-squares with multiple adaptive forgetting factors Published In Connected Vehicles and Expo (ICCVE), 2014 International Conference on

Orcid Id

http://orcid.org/0000-0001-5140-8821 (confirmed)

Visualisations

Publication History

Investigator Network

Collaborator Map

Research Areas

Geographic Focus

Australia, Aotearoa New Zealand, and the Asia Pacific Continent