Prof. Dr. Chao Lyu | Energy | Best Researcher Award

Prof. Dr. Chao Lyu | Energy | Best Researcher Award

Harbin Institute of Technology, China.

Prof. Chao Lyu is a distinguished scholar and researcher in electrical engineering, specializing in battery modeling, battery health management, and microgrid optimization. He is a Professor and Doctoral Supervisor at the Harbin Institute of Technology and a Senior Member of IEEE. With a strong academic background and over 50 research publications in international journals and conferences, Prof. Lyu has made significant contributions to the field of energy storage systems and lithium-ion battery technology. His expertise extends to fault diagnosis, performance evaluation, and optimization control methods for energy storage batteries, shaping advancements in sustainable energy solutions.

Profile

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πŸŽ“ Education

Prof. Chao Lyu holds a strong academic foundation in electrical engineering. He earned his B.Eng. in Electrical Engineering from Northeast Electric Power University, Jilin, China, in 2001, followed by an M.Sc. in Electrical Engineering from the same institution in 2004. His pursuit of advanced research led him to complete a Ph.D. in Electrical Engineering at Harbin Institute of Technology, China, in 2007. His academic journey has equipped him with extensive expertise in battery modeling, energy storage systems, and microgrid optimization, laying the groundwork for his impactful research and contributions to the field.

πŸ’Ό Professional Experience

Prof. Chao Lyu is a Professor and Doctoral Supervisor at Harbin Institute of Technology, where he leads research in battery modeling, energy storage systems, and microgrid optimization. As a Senior Member of IEEE, he actively contributes to advancements in electrical engineering and battery technology. Beyond academia, he serves as a researcher and consultant, collaborating with State Grid Corporation of China and Guangdong Power Grid Co., Ltd on industry-driven projects focused on battery fault diagnosis, performance evaluation, and optimization control. His work bridges the gap between research and real-world applications, driving innovation in sustainable energy solutions.

πŸ”¬ Research Interests

Battery Modeling & Testing πŸ”‹

Battery Health Management & Fault Diagnosis ⚑

Microgrid Optimization with Energy Storage 🏭

Lithium-ion Battery Performance & Safety πŸ”

Artificial Intelligence for Battery Management πŸ€–

πŸ† Awards & Recognitions

Senior Member, IEEE

Recognized Expert in Battery Technology & Microgrid Systems

πŸ“š Selected Publications

Early Internal Short Circuit Diagnosis for Lithium-Ion Battery Packs Based on Dynamic Time Warping of Incremental Capacity – Batteries, 10(11), 378

Concurrent Multi-Fault Diagnosis of Lithium-Ion Battery Packs Using Random Convolution Kernel Transformation and Gaussian Process Classifier – Energy, 306, 132467 (3 citations)

Model-Free Detection and Quantitative Assessment of Micro Short Circuits in Lithium-Ion Battery Packs Based on Incremental Capacity and Unsupervised Clustering – International Journal of Electrochemical Science, 19(10), 100794 (1 citation)

Digital Twin Modeling Method for Lithium-Ion Batteries Based on Data-Mechanism Fusion Driving – Green Energy and Intelligent Transportation, 3(5), 100162 (3 citations)

Optimization of Lithium-Ion Battery Charging Strategies From a Thermal Safety Perspective – IEEE Transactions on Transportation Electrification, 10(2), pp. 2727–2739

 

 

 

Assist. Prof. Dr. Dohyung Kim | Solar Cells | Best Researcher Award

Assist. Prof. Dr. Dohyung Kim | Solar Cells | Best Researcher Award

Chungbuk National University, South Korea.

Dohyung Kim is an Assistant Professor in the Department of Advanced Materials Engineering at Chungbuk National University, South Korea. With a rich academic and professional background, he specializes in materials science and engineering, focusing on the development of advanced materials for energy applications, particularly perovskite solar cells. His extensive research contributions include numerous high-impact publications and collaborations with global research institutions.

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Education πŸŽ“

Dr. Dohyung Kim is an accomplished materials scientist with a strong academic foundation in Materials Science and Engineering. He earned his PhD from the University of New South Wales, Sydney, Australia (2015–2019), where he focused on advancing innovative materials and technologies. Prior to this, he completed his Master of Engineering in Materials Science and Engineering at Korea University, Seoul, Korea (2011–2013), where he developed expertise in material characterization and design. Dr. Kim began his academic journey at the Seoul National University of Science and Technology, Seoul, Korea, earning his Bachelor of Engineering in Materials Science and Engineering (2005–2011). His educational background reflects a comprehensive understanding of materials science, from fundamental principles to cutting-edge research.

Professional Experience 🏒

Dr. Dohyung Kim has built a distinguished career in academia and research, holding key positions in prestigious institutions. Since March 2024, he has served as an Assistant Professor at Chungbuk National University, Cheongju, Korea, where he focuses on advancing materials science through teaching and research.

Prior to his current role, Dr. Kim was a Senior Researcher at the Korea Institute of Energy Research (KIER), Daejeon, Korea (June 2022 – February 2024), where he contributed to innovative solutions in energy materials. His international research experience includes serving as a Postdoctoral Appointee at Argonne National Laboratory, Lemont, IL, USA (June 2021 – June 2022), and as a Postdoctoral Research Associate in a joint program between the University of Tennessee, Knoxville, USA, and Oak Ridge National Laboratory (ORNL) (August 2019 – June 2021).

Dr. Kim’s career began with hands-on experience as an Intern Scientist and Research Trainee at the Korea Institute of Science and Technology (KIST), Seoul, Korea, where he honed his skills in cutting-edge materials research. His diverse background reflects a commitment to addressing global challenges through materials science and engineering.

Research Interests πŸ”¬

Dohyung's research focuses on:

Advanced materials for renewable energy technologies

Perovskite solar cells and their stability

Machine learning applications in materials science

Nano-engineering and interface optimization for photovoltaic devices

Awards & Honors πŸ†

Excellent Department Award (2023)
Photovoltaic Research Department, KIER

AFORE 2023 Best Poster Award
The Korean Society for New and Renewable Energy

Energy Grand Prize (2022)
Photovoltaic Research Department, KIER

Dean’s Award (2019)
High-quality PhD thesis, Top 10%

Publications πŸ“š

Advances in Single-Crystal Perovskite Solar Cells: From Materials to Performance
Authors: Tsvetkov, N., Koo, D., Kim, D., Park, H., Min, H.
Journal: Nano Energy (2024), Vol. 130, Article 110069
Citation: 1
This work explores breakthroughs in single-crystal perovskite solar cells, focusing on their material properties and performance enhancements.

Highly Efficient Wide Bandgap Perovskite Solar Cells With Tunneling Junction by Self-Assembled 2D Dielectric Layer
Authors: Lee, M., Lim, J., Choi, E., Hao, X., Yun, J.S.
Journal: Advanced Materials (2024), Vol. 36, Issue 41, Article 2402053
Citation: 1
This study demonstrates wide-bandgap perovskite solar cells incorporating self-assembled 2D dielectric layers for improved efficiency.

Efficient and Stable CsPbI3 Perovskite Solar Cells With Spontaneously Formed 2D-Cs2PbI2Cl2 at the Buried Interface
Authors: Shah, S.-F.-A., Jeong, I., Park, J., Kim, K., Min, H.
Journal: Cell Reports Physical Science (2024), Vol. 5, Issue 5, Article 101935
Citation: 2
This research highlights stable CsPbI3 perovskite solar cells facilitated by the formation of a 2D-Cs2PbI2Cl2 layer at the interface.

Charge Carrier Transport Properties of Twin Domains in Halide Perovskites
Authors: Kim, D., Yun, J.S., Sagotra, A., Cazorla, C., Seidel, J.
Journal: Journal of Materials Chemistry A (2023), Vol. 11, Issue 31, pp. 16743–16754
Citation: 2
The article investigates the charge carrier transport mechanisms in twin domains of halide perovskites, contributing to a deeper understanding of their electronic properties.

Optimal Solar Cell Sorting Method for High Module Production Reliability
Authors: Kim, Y.-J., Kim, M., Cho, Y., Song, H.-E., Park, S.
Conference: AIP Advances (2023), Vol. 13, Issue 6, Article 065323
This conference paper discusses an optimized solar cell sorting method to ensure reliability and efficiency in module production.