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
🎓 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.
đź’Ľ 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.
🔬 Research Interests
Battery Modeling & Testing 🔋
Battery Health Management & Fault Diagnosis ⚡
Microgrid Optimization with Energy Storage đźŹ
Lithium-ion Battery Performance & Safety 🔍
Artificial Intelligence for Battery Management 🤖
🏆 Awards & Recognitions
Senior Member, IEEE
Recognized Expert in Battery Technology & Microgrid Systems
đź“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